﻿FN Clarivate Analytics Web of Science
VR 1.0
PT J
AU Doorn, N
AF Doorn, Neelke
TI Governance Experiments in Water Management: From Interests to Building
   Blocks
SO SCIENCE AND ENGINEERING ETHICS
LA English
DT Article
DE Water governance; Stakeholder participation; Governance experiment;
   Interests; Values; Climate adaptation
ID PUBLIC-PARTICIPATION; RESPONSIBILITY; TRANSITIONS; CLIMATE; CITY
AB The management of water is a topic of great concern. Inadequate management may lead to water scarcity and ecological destruction, but also to an increase of catastrophic floods. With climate change, both water scarcity and the risk of flooding are likely to increase even further in the coming decades. This makes water management currently a highly dynamic field, in which experiments are made with new forms of policy making. In the current paper, a case study is presented in which different interest groups were invited for developing new water policy. The case was innovative in that stakeholders were invited to identify and frame the most urgent water issues, rather than asking them to reflect on possible solutions developed by the water authority itself. The case suggests that stakeholders can participate more effectively if their contribution is focused on underlying competing values rather than conflicting interests.
C1 [Doorn, Neelke] Delft Univ Technol, Dept Technol Policy & Management Values Technol &, POB 5015, NL-2600 GA Delft, Netherlands.
C3 Delft University of Technology
RP Doorn, N (corresponding author), Delft Univ Technol, Dept Technol Policy & Management Values Technol &, POB 5015, NL-2600 GA Delft, Netherlands.
EM N.Doorn@tudelft.nl
OI Doorn, Neelke/0000-0002-1090-579X
FU Netherlands Organisation for Scientific Research (NWO) [016-114-625,
   016-144-071]
FX This research is supported by the Netherlands Organisation for
   Scientific Research (NWO) under Grant Numbers 016-114-625 and
   016-144-071.
CR [Anonymous], 2014, OECD Studies on Water, DOI DOI 10.1787/9789264102637-EN
   [Anonymous], 1997, GOVERNANCE SUSTAINAB
   [Anonymous], DIS DAT BAL PERSP
   [Anonymous], 2010, EEA Technical Report, DOI DOI 10.2800/62638
   [Anonymous], 2011, WATER GOVERNANCE OEC, DOI DOI 10.1787/9789264119284-EN
   [Anonymous], MANAGING TECHNOLOGY
   [Anonymous], INTEGRATED PARTICI B
   Avant Deborah., 2009, WHO GOVERNS GLOBE
   Bos JJ, 2012, TECHNOL FORECAST SOC, V79, P1340, DOI 10.1016/j.techfore.2012.04.006
   Brunner Ronald., 2005, ADAPTIVE GOVERNANCE
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   CAST, 2005, AGR ETH, P1
   Doorn Neelke, 2010, Poiesis Prax, V7, P169
   Doorn N, 2013, NANOETHICS, V7, P29, DOI 10.1007/s11569-013-0169-3
   Doorn N, 2012, SCI TECHNOL HUM VAL, V37, P180, DOI 10.1177/0162243911405344
   Dougill AJ, 2010, ECOL SOC, V15
   Driessen PeterP. J., 2011, Climate Law, V2, P559, DOI [DOI 10.3233/CL-2011-051, 10.3233/CL-2011-051]
   Dryzek J.S., 1997, POLITICS EARTH
   Dryzek JS, 2006, AM J POLIT SCI, V50, P634, DOI 10.1111/j.1540-5907.2006.00206.x
   Ernst Howard., 2003, CHESAPEAKE BAY BLUES
   Farrelly M, 2011, GLOBAL ENVIRON CHANG, V21, P721, DOI 10.1016/j.gloenvcha.2011.01.007
   Felt U.B. Wynne., 2007, TAKING EUROPEAN KNOW
   Gieryn TF, 2006, SOC STUD SCI, V36, P5, DOI 10.1177/0306312705054526
   Glenna LL, 2010, SCI TECHNOL HUM VAL, V35, P81, DOI 10.1177/0162243909340268
   Gross M., 2010, Ignorance and surprise: Science, society, and ecological design
   Grunwald Michael., 2006, The Swamp: the Everglades, Florida, and the Politics of Paradise
   Hassing J., 2009, INTEGRATED WATER RES
   Heems K., 2012, FLOOD SAFETY MANAGIN
   Heintz MD, 2012, WATER-SUI, V4, P135, DOI 10.3390/w4010135
   Hoffmann M.J., 2011, CLIMATE GOVERNANCE C
   Hoffmann Matthew, 2005, CONTENDING PERSPECTI, P1
   Hoogma R., 2002, EXPT SUSTAINABLE TRA
   Jacobs Johannes F, 2010, Nanoethics, V4, P103
   Kline Benjamin., 2007, First Along the River: A Brief History of the U.S. Environmental Movement, V3rd
   Kraay A, 1999, World Bank Policy Research working paper 2196
   Krohn W., 1994, SCI PUBL POLICY, V21, P173, DOI DOI 10.1093/SPP/21.3.173
   Maasen S., 2005, Democratization of expertise?: Exploring novel forms of scientific advice in political decision-making, DOI 10.1007/1-4020-3754-6_1
   Martin M.W., 2005, Ethics in Engineering
   McHugh D, 2006, PARLIAMENT AFF, V59, P546, DOI 10.1093/pa/gsl027
   Mouffe C, 1999, SOC RES, V66, P745
   Mutz DC, 2006, HEARING THE OTHER SIDE: DELIBERATIVE VERSUS PARTICIPATORY DEMOCRACY, P1, DOI 10.2277/ 0521612284
   Newig J, 2014, ENVIRON POLICY GOV, V24, P275, DOI 10.1002/eet.1650
   Nye M, 2011, J FLOOD RISK MANAG, V4, P288, DOI 10.1111/j.1753-318X.2011.01114.x
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Perhac RM, 1998, SCI TECHNOL HUM VAL, V23, P221, DOI 10.1177/016224399802300204
   Raadgever GT, 2012, WATER RESOUR MANAG, V26, P3251, DOI 10.1007/s11269-012-0070-9
   Rahaman M. M., 2005, Sustainability: Science, Practice & Policy, V1, P15
   Rahaman MM, 2004, INT J WATER RESOUR D, V20, P565, DOI 10.1080/07900620412331319199
   Raven R., 2007, INT J TECHNOL MANAGE, V51, P57
   Rikoon J.Sanford., 2000, Anti-Environmentalism and Citizen Opposition to the Ozark Man and the Biosphere Reserve
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Sagoff M., 2002, PHILOS PUBLIC POLICY, V22, P10
   Schon D.A.M. Rein., 1994, FRAME REFLECTION RES
   Stocker, 2014, CLIMATE CHANGE 2013
   Toonen T. A. J., 2015, DESIGN TURN APPL ETH
   UNDP, 2014, GOV SUST DEV INT GOV
   van de Poel I, 2009, TECHNOSCIENCE IN PROGRESS: MANAGING THE UNCERTAINTY OF NANOTECHNOLOGY, P129, DOI 10.3233/978-1-60750-022-3-129
   van der Brugge R, 2007, WATER RESOUR MANAG, V21, P249, DOI 10.1007/s11269-006-9052-0
   van Kersbergen K, 2004, EUR J POLIT RES, V43, P143
   van Rijswick H.F. M. W., 2012, European and Dutch water law
   Warner JF, 2013, MAKING SPACE FOR THE RIVER: GOVERNANCE EXPERIENCES WITH MULTIFUNCTIONAL RIVER FLOOD MANAGEMENT IN THE US AND EUROPE, P1
   Wilshusen P., 2003, Contested Nature: Promoting International Biodiversity with Social Justice in the Twenty-first Century
   Woods D, 2008, WATER ENVIRON J, V22, P258, DOI 10.1111/j.1747-6593.2008.00136.x
   Young IM, 2006, SOC PHILOS POLICY, V23, P102, DOI 10.1017/S0265052506060043
   Young IM., 2000, Inclusion and Democracy
NR 65
TC 17
Z9 17
U1 1
U2 8
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1353-3452
EI 1471-5546
J9 SCI ENG ETHICS
JI Sci. Eng. Ethics
PD JUN
PY 2016
VL 22
IS 3
SI SI
BP 755
EP 774
DI 10.1007/s11948-015-9627-3
PG 20
WC Ethics; Engineering, Multidisciplinary; History & Philosophy Of Science;
   Multidisciplinary Sciences; Philosophy
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics; Engineering; History & Philosophy of
   Science; Science & Technology - Other Topics; Philosophy
GA DU3ST
UT WOS:000382133200009
PM 25652657
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Hua, LQ
   Zhang, FM
   Sun, R
   Yu, XL
   Ma, H
AF Hua, Langqin
   Zhang, Fangmin
   Sun, Rui
   Yu, Xiaolan
   Ma, He
TI Synergy of carbon and water use efficiencies in the Huai River Basin
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Carbon use efficiency; Water use efficiency; Climate factor; Temporal
   and spatial variation; Attribution analysis
ID GLOBAL PATTERNS; LOESS PLATEAU; EVAPOTRANSPIRATION; CHINA; FRACTION
AB Carbon Use Efficiency (CUE) and Water Use Efficiency (WUE) are pivotal ecological indicators. Clarifying whether they change synergistically can aid in understanding how terrestrial ecosystems adapt to climate and environmental changes. Utilizing meteorological and remote sensing data, our study assessed the spatial and temporal patterns of CUE and WUE in terrestrial ecosystems within the Huai River Basin from 2001 to 2020. Our findings revealed multi-year annual averages of 0.43 and 0.82 gC kg(-1)H(2)O for CUE and WUE, respectively. While CUE showed a significant increasing trend (P < 0.01), the increase in WUE was not significant (P > 0.05). The primary drivers behind temporal variations in these efficiencies included leaf area index (LAI), temperature, and soil moisture. In 77.96 % of the basin area, CUE and WUE exhibit synergistic changes. LAI was the predominant factor affecting both CUE and WUE, and dual-factor interactions amplify their influence. These insights enhance our understanding of regional carbon and water cycles and offer valuable guidance for the refinement of ecological conservation strategies.
C1 [Hua, Langqin; Zhang, Fangmin; Sun, Rui; Yu, Xiaolan; Ma, He] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Sch Ecol & Appl Meteorol, Jiangsu Key Lab Agr Meteorol, Nanjing 210044, Peoples R China.
C3 Nanjing University of Information Science & Technology
RP Zhang, FM (corresponding author), Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Sch Ecol & Appl Meteorol, Jiangsu Key Lab Agr Meteorol, Nanjing 210044, Peoples R China.
EM Fmin.zhang@nuist.edu.cn
RI Hua, Langqin/LUA-0142-2024
OI Hua, Langqin/0000-0003-1317-2090
FU Natural Science Foundation of Jiangsu Province China [BK20220017];
   Innovation Development Project of China Meteorological Administration
   [CXFZ2023J073]; Joint Research Project for Meteorological Capacity
   Improvement [22NLTSQ011]
FX This work was supported by Natural Science Foundation of Jiangsu
   Province China (BK20220017) , Innovation Development Project of China
   Meteorological Administration (CXFZ2023J073) , Joint Research Project
   for Meteorological Capacity Improvement (22NLTSQ011) .
CR Allen R. G., 1998, FAO Irrigation and Drainage Paper
   [Anonymous], 2003, Ecology of a changing planet.
   Chen C, 2019, NAT SUSTAIN, V2, P122, DOI 10.1038/s41893-019-0220-7
   Chen ZF, 2023, GLOBAL CHANGE BIOL, V29, P1628, DOI 10.1111/gcb.16561
   Chen Z, 2018, ECOL INDIC, V90, P316, DOI 10.1016/j.ecolind.2018.03.025
   Fan Y, 2013, SCIENCE, V339, P940, DOI 10.1126/science.1229881
   Feng XM, 2016, NAT CLIM CHANGE, V6, P1019, DOI [10.1038/NCLIMATE3092, 10.1038/nclimate3092]
   Ganjurjav H, 2022, AGR FOREST METEOROL, V323, DOI 10.1016/j.agrformet.2022.109079
   Gong XY, 2017, PLANT CELL ENVIRON, V40, P401, DOI 10.1111/pce.12886
   He Y, 2018, AGR FOREST METEOROL, V256, P150, DOI 10.1016/j.agrformet.2018.03.009
   HOERL AE, 1970, TECHNOMETRICS, V12, P55, DOI 10.1080/00401706.1970.10488634
   Hutchinson M.F., 2004, ANUSPLIN
   Ise T, 2010, J GEOPHYS RES-BIOGEO, V115, DOI 10.1029/2010JG001326
   Jin N, 2018, SCI TOTAL ENVIRON, V642, P1, DOI 10.1016/j.scitotenv.2018.06.028
   Kato T, 2004, AGR WATER MANAGE, V65, P173, DOI 10.1016/j.agwat.2003.10.001
   Lan X, 2021, AGR ECOSYST ENVIRON, V319, DOI 10.1016/j.agee.2021.107522
   Li F, 2023, SCIENCE, V381, P672, DOI 10.1126/science.adf5041
   Li T, 2019, ECOL INDIC, V99, P332, DOI 10.1016/j.ecolind.2018.12.041
   Limousin JM, 2015, FUNCT ECOL, V29, P1125, DOI 10.1111/1365-2435.12426
   Liu YB, 2015, SCI REP-UK, V5, DOI 10.1038/srep13799
   Liu ZG, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.1062055
   Luo H, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14184541
   Luo YC, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab80f0
   Ma FF, 2018, J GEOPHYS RES-BIOGEO, V123, P2388, DOI 10.1029/2018JG004530
   Miralles DG, 2019, ANN NY ACAD SCI, V1436, P19, DOI 10.1111/nyas.13912
   Sang S, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13193942
   Sinsabaugh RL, 2017, NEW PHYTOL, V214, P1518, DOI 10.1111/nph.14485
   Song YZ, 2020, GISCI REMOTE SENS, V57, P593, DOI 10.1080/15481603.2020.1760434
   Wang C, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14164046
   Wang HB, 2020, WATER-SUI, V12, DOI 10.3390/w12051239
   Wang L, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110566
   Wang LC, 2023, ENVIRON SCI POLLUT R, V30, P26998, DOI 10.1007/s11356-022-23939-0
   Wang M, 2021, SCI TOTAL ENVIRON, V760, DOI 10.1016/j.scitotenv.2020.143427
   Wang Y, 2021, FORESTS, V12, DOI 10.3390/f12010012
   [翁升恒 Weng Shengheng], 2022, [生态学报, Acta Ecologica Sinica], V42, P6718
   Wu Rong-jun, 2016, Yingyong Shengtai Xuebao, V27, P1727, DOI [10.3287/j.1001-9332.201606.040, 10.13287/j.1001-9332.201606.040]
   Xiao BQ, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.128968
   Xie SD, 2020, AGR FOREST METEOROL, V295, DOI 10.1016/j.agrformet.2020.108183
   Xue YY, 2022, J HYDROL, V612, DOI 10.1016/j.jhydrol.2022.128257
   Zheng CL, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-01991-w
   Zheng H, 2019, GLOBAL PLANET CHANGE, V181, DOI 10.1016/j.gloplacha.2019.102995
NR 41
TC 0
Z9 0
U1 12
U2 15
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD MAR
PY 2024
VL 160
AR 111874
DI 10.1016/j.ecolind.2024.111874
EA MAR 2024
PG 10
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA RG3D1
UT WOS:001226465200001
OA gold
DA 2025-01-10
ER

PT J
AU Stearns, FW
   Fenster, CB
AF Stearns, Frank W.
   Fenster, Charles B.
TI Evidence for parallel adaptation to climate across the natural range of
   <i>Arabidopsis thaliana</i>
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE Adaptation; arabidopsis; climate; parallel evolution
ID GENETIC-VARIATION; LINKAGE DISEQUILIBRIUM; RESPONSES; TRAITS;
   REGRESSION; EVOLUTION; MUTATION; IMPACTS; TRENDS; NICHE
AB How organisms adapt to different climate habitats is a key question in evolutionary ecology and biological conservation. Species distributions are often determined by climate suitability. Consequently, the anthropogenic impact on earth's climate is of key concern to conservation efforts because of our relatively poor understanding of the ability of populations to track and evolve to climate change. Here, we investigate the ability of Arabidopsis thaliana to occupy climate space by quantifying the extent to which different climate regimes are accessible to different A. thaliana genotypes using publicly available data from a large-scale genotyping project and from a worldwide climate database. The genetic distance calculated from 149 single-nucleotide polymorphisms (SNPs) among 60 lineages of A. thaliana was compared to the corresponding climate distance among collection localities calculated from nine different climatic factors. A. thaliana was found to be highly labile when adapting to novel climate space, suggesting that populations may experience few constraints when adapting to changing climates. Our results also provide evidence of a parallel or convergent evolution on the molecular level supporting recent generalizations regarding the genetics of adaptation.
C1 [Stearns, Frank W.; Fenster, Charles B.] Univ Maryland, Dept Biol, College Pk, MD 20742 USA.
C3 University System of Maryland; University of Maryland College Park
RP Stearns, FW (corresponding author), Univ Maryland, Dept Biol, Biol Psychol Bldg, College Pk, MD 20742 USA.
EM fstearns@umd.edu
FU University of Maryland; U. S. National Science Foundation [NSF
   DEB-0845413]; Direct For Biological Sciences; Division Of Environmental
   Biology [0844820] Funding Source: National Science Foundation
FX F. W. S. was supported by the University of Maryland and C. B. F. was
   supported by the U. S. National Science Foundation (NSF DEB-0845413).
CR Ågren J, 2012, NEW PHYTOL, V194, P1112, DOI 10.1111/j.1469-8137.2012.04112.x
   Angert AL, 2011, ECOL LETT, V14, P677, DOI 10.1111/j.1461-0248.2011.01620.x
   [Anonymous], SAS STAT VERS 8 1
   [Anonymous], GEGAN COMMUNITY ECOL
   [Anonymous], 1989, Cladistics
   Banta JA, 2012, ECOL LETT, V15, P769, DOI 10.1111/j.1461-0248.2012.01796.x
   Beck JB, 2008, MOL ECOL, V17, P902, DOI 10.1111/j.1365-294X.2007.03615.x
   Bradshaw WE, 2001, P NATL ACAD SCI USA, V98, P14509, DOI 10.1073/pnas.241391498
   CLAUSEN J, 1947, AM NAT, V81, P114, DOI 10.1086/281507
   Clausen J, 1926, HEREDITAS, V8, P1
   Darwin C., 1859, ORIGIN SPECIES MEANS
   Fournier-Level A, 2011, SCIENCE, V334, P86, DOI 10.1126/science.1209271
   GOWER JC, 1971, BIOMETRICS, V27, P857, DOI 10.2307/2528823
   Hancock AM, 2011, SCIENCE, V334, P83, DOI 10.1126/science.1209244
   Hansen MM, 2012, MOL ECOL, V21, P1311, DOI 10.1111/j.1365-294X.2011.05463.x
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Hoffmann MH, 2005, ACTA OECOL, V28, P181, DOI 10.1016/j.actao.2005.03.010
   Hoffmann MH, 2005, EVOLUTION, V59, P1425
   Hoffmann MH, 2002, J BIOGEOGR, V29, P125, DOI 10.1046/j.1365-2699.2002.00647.x
   Jorgensen S, 2004, MOL ECOL, V13, P3403, DOI 10.1111/j.1365-294X.2004.02329.x
   Kearney M, 2009, FUNCT ECOL, V23, P528, DOI 10.1111/j.1365-2435.2008.01538.x
   Keller I, 2012, MOL ECOL, V21, P782, DOI 10.1111/j.1365-294X.2011.05397.x
   Kim S, 2007, NAT GENET, V39, P1151, DOI 10.1038/ng2115
   Lasky JR, 2012, MOL ECOL, V21, P5512, DOI 10.1111/j.1365-294X.2012.05709.x
   Lowry DB, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000500
   MacKenzie JL, 2005, GENETICS, V171, P715, DOI 10.1534/genetics.105.042002
   MANTEL N, 1967, CANCER RES, V27, P209
   McKay JK, 2003, MOL ECOL, V12, P1137, DOI 10.1046/j.1365-294X.2003.01833.x
   New M, 2002, CLIMATE RES, V21, P1, DOI 10.3354/cr021001
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Nordborg M, 2005, PLOS BIOL, V3, P1289, DOI 10.1371/journal.pbio.0030196
   Nordborg M, 2002, NAT GENET, V30, P190, DOI 10.1038/ng813
   Olsen EM, 2004, NATURE, V428, P932, DOI 10.1038/nature02430
   Orr HA, 2005, NAT REV GENET, V6, P119, DOI 10.1038/nrg1523
   Orr HA, 2005, EVOLUTION, V59, P216
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Puigbò P, 2007, BIOINFORMATICS, V23, P1556, DOI 10.1093/bioinformatics/btm135
   R Development Core Team, 2011, R: a language and environment for statistical computing
   ROBINSON DF, 1981, MATH BIOSCI, V53, P131, DOI 10.1016/0025-5564(81)90043-2
   Rutter MT, 2007, ANN BOT-LONDON, V99, P529, DOI 10.1093/aob/mcl282
   Rutter MT, 2012, EVOLUTION, V66, P2335, DOI 10.1111/j.1558-5646.2012.01583.x
   Rutter MT, 2010, EVOLUTION, V64, P1825, DOI 10.1111/j.1558-5646.2009.00928.x
   Samis KE, 2012, ECOL EVOL, V2, P1162, DOI 10.1002/ece3.262
   Shaw RG, 2000, GENETICS, V155, P369
   Shindo C, 2007, ANN BOT-LONDON, V99, P1043, DOI 10.1093/aob/mcl281
   SMOUSE PE, 1986, SYST ZOOL, V35, P627, DOI 10.2307/2413122
   Teplitsky C, 2008, P NATL ACAD SCI USA, V105, P13492, DOI 10.1073/pnas.0800999105
   Vander Zwan C, 2000, SYST BOT, V25, P47, DOI 10.2307/2666672
   Walther GR, 2004, PERSPECT PLANT ECOL, V6, P169, DOI 10.1078/1433-8319-00076
   WESTERMAN JM, 1971, HEREDITY, V26, P93, DOI 10.1038/hdy.1971.9
   Wilczek AM, 2009, SCIENCE, V323, P930, DOI 10.1126/science.1165826
NR 52
TC 9
Z9 12
U1 1
U2 36
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2045-7758
J9 ECOL EVOL
JI Ecol. Evol.
PD JUL
PY 2013
VL 3
IS 7
BP 2241
EP 2247
DI 10.1002/ece3.622
PG 7
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA 185WY
UT WOS:000322002400035
PM 23919166
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Klauer, B
   Reese, M
   Klassert, C
AF Klauer, Bernd
   Reese, Moritz
   Klassert, Christian
TI Drought management: Deficits in German water law
SO WASSERWIRTSCHAFT
LA German
DT Article
AB In Germany, climate change is leading to longer and more intense periods of drought, causing considerable damage to agriculture and forestry, water suppliers, industries and commerce, as well as ecosystems. The Water Resources Act does not explicitly mention drought risk prevention and drought management, neither as a management principle nor as a management objective. Rather, the water management objectives listed in the act are tailored exclusively to normal weather conditions and not to coping with periods of drought. Although an obligation to draw up a drought management concept can be derived from the Climate Adaptation Act, this has not yet been backed up with concrete regulations and instruments for drought management. What is needed is the development of a legal framework as a foundation for a systematic management of droughts. This should cover the two areas of drought precaution and coping measures. For precautionary measures, the knowledge base and forecasting capabilities for low water as well as droughts and their consequences must be improved, and management plans ought to be developed. In the area of operational drought management, the legal framework needs to be expanded to provide the responsible authorities with further options for an efficient control and- where necessary- curtailment of water use.
C1 [Klauer, Bernd; Reese, Moritz; Klassert, Christian] Helmholtz Zentrum Umweltforsch UFZ, Permoserstr 15, D-04318 Leipzig, Germany.
C3 Helmholtz Association; Helmholtz Center for Environmental Research (UFZ)
RP Klauer, B (corresponding author), Helmholtz Zentrum Umweltforsch UFZ, Permoserstr 15, D-04318 Leipzig, Germany.
EM bernd.klauer@ufz.de; moritz.reese@ufz.de; christian.klassert@ufz.de
RI Klauer, Bernd/A-6304-2012
OI Reese, Moritz/0000-0003-3479-6281
CR [Anonymous], 2021, UBA-Texte
   Blauhut V, 2022, NAT HAZARD EARTH SYS, V22, P2201, DOI 10.5194/nhess-22-2201-2022
   Deutscher Verein des Gasund Wasserfachs e. V, 2023, DVGW-Umfrage unter Wasserbetrieben zu Auswirkungen des Klimawandels auf die Trinkwasserversorgung in Deutschland
   Europaische Kommission, 2007, Antworten auf die Herausforderung von Wasserknappheit und Durre in der Europaischen Union, P414
   McNamara I, 2024, AGR WATER MANAGE, V291, DOI 10.1016/j.agwat.2023.108641
   Trenczek J., 2022, Studie im Auftrag des Bundesministeriums fur Wirtschaft und Klimaschutz
NR 6
TC 0
Z9 0
U1 2
U2 2
PU SPRINGER VIEWEG-SPRINGER FACHMEDIEN WIESBADEN GMBH
PI WIESBADEN
PA ABRAHAM-LINCOLN STASSE 46, WIESBADEN, 65189, GERMANY
SN 0043-0978
EI 2192-8762
J9 WASSERWIRTSCHAFT
JI WasserWirtschaft
PY 2024
VL 114
IS 9
BP 48
EP 53
DI 10.1007/s35147-024-2385-x
PG 6
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA G8C8M
UT WOS:001318861800007
DA 2025-01-10
ER

PT J
AU Le, PVV
   Randerson, JT
   Willett, R
   Wright, S
   Smyth, P
   Guilloteau, C
   Mamalakis, A
   Foufoula-Georgiou, E
AF Le, Phong V. V.
   Randerson, James T.
   Willett, Rebecca
   Wright, Stephen
   Smyth, Padhraic
   Guilloteau, Cleïment
   Mamalakis, Antonios
   Foufoula-Georgiou, Efi
TI Climate-driven changes in the predictability of seasonal precipitation
SO NATURE COMMUNICATIONS
LA English
DT Article
ID SEA-SURFACE TEMPERATURE; INTERCOMPARISON PROJECT SCENARIOMIP;
   GREENHOUSE-GAS CONCENTRATIONS; EL-NINO; TROPICAL PACIFIC; RAINFALL;
   ENSO; PREDICTION; TELECONNECTIONS; VARIABILITY
AB Climate-driven changes in precipitation amounts and their seasonal variability are expected in many continental-scale regions during the remainder of the 21st century. However, much less is known about future changes in the predictability of seasonal precipitation, an important earth system property relevant for climate adaptation. Here, on the basis of CMIP6 models that capture the present-day teleconnections between seasonal precipitation and previous-season sea surface temperature (SST), we show that climate change is expected to alter the SST-precipitation relationships and thus our ability to predict seasonal precipitation by 2100. Specifically, in the tropics, seasonal precipitation predictability from SSTs is projected to increase throughout the year, except the northern Amazonia during boreal winter. Concurrently, in the extra-tropics predictability is likely to increase in central Asia during boreal spring and winter. The altered predictability, together with enhanced interannual variability of seasonal precipitation, poses new opportunities and challenges for regional water management.
   This study shows that climate change will alter the sea surface temperature - precipitation relationships and our ability to predict seasonal precipitation by 2100.
C1 [Le, Phong V. V.] Oak Ridge Natl Lab, Environm Sci Div, Oak Ridge, TN 37830 USA.
   [Le, Phong V. V.; Randerson, James T.; Guilloteau, Cleïment; Foufoula-Georgiou, Efi] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA.
   [Le, Phong V. V.] Vietnam Natl Univ, Univ Sci, Fac Hydrol Meteorol & Oceanog, Hanoi, Vietnam.
   [Randerson, James T.; Foufoula-Georgiou, Efi] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA.
   [Willett, Rebecca] Univ Chicago, Dept Stat, Chicago, IL USA.
   [Willett, Rebecca] Univ Chicago, Dept Comp Sci, Chicago, IL USA.
   [Wright, Stephen] Univ Wisconsin Madison, Comp Sci Dept, Madison, WI USA.
   [Smyth, Padhraic] Univ Calif Irvine, Dept Comp Sci, Irvine, CA USA.
   [Smyth, Padhraic] Univ Calif Irvine, Dept Stat, Irvine, CA USA.
   [Mamalakis, Antonios] Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO USA.
C3 United States Department of Energy (DOE); Oak Ridge National Laboratory;
   University of California System; University of California Irvine;
   Vietnam National University Hanoi (VNU Hanoi) System; University of
   California System; University of California Irvine; University of
   Chicago; University of Chicago; University of Wisconsin System;
   University of Wisconsin Madison; University of California System;
   University of California Irvine; University of California System;
   University of California Irvine; Colorado State University
RP Le, PVV (corresponding author), Oak Ridge Natl Lab, Environm Sci Div, Oak Ridge, TN 37830 USA.; Le, PVV; Foufoula-Georgiou, E (corresponding author), Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA.; Le, PVV (corresponding author), Vietnam Natl Univ, Univ Sci, Fac Hydrol Meteorol & Oceanog, Hanoi, Vietnam.; Foufoula-Georgiou, E (corresponding author), Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA.
EM lepv@ornl.gov; efi@uci.edu
RI Guilloteau, Clement/AAO-6678-2021; Willett, Rebecca/G-6930-2012
OI Le, Phong/0000-0001-5558-1023; Foufoula-Georgiou,
   Efi/0000-0003-1078-231X; Guilloteau, Clement/0000-0001-8142-7740
FU National Science Foundation (NSF) [DMS-1839336]; Transdisciplinary
   Research in Principles of Data Science (TRIPODS) program; NASA through
   the Global Precipitation Measurement Mission program [80NSSC22K0597];
   U.S. Department of Energy (DOE), Office of Science, Biological and
   Environmental Research, Environmental System Sciences (ESS) program
   through the IDEAS-Watersheds project; U.S. DOE Office of Science RUBISCO
   Science Focus Area; NASA's Modeling Analysis and Prediction (MAP)
   program [80NSSC21K1362]
FX This research was supported by the National Science Foundation (NSF)
   under grant number DMS-1839336 as part of the Transdisciplinary Research
   in Principles of Data Science (TRIPODS) program. The research was also
   partially supported by NASA through the Global Precipitation Measurement
   Mission program (Grant 80NSSC22K0597). P.V.V.L. acknowledges additional
   support from the U.S. Department of Energy (DOE), Office of Science,
   Biological and Environmental Research, Environmental System Sciences
   (ESS) program through the IDEAS-Watersheds project. J.T.R. acknowledges
   additional support from the U.S. DOE Office of Science RUBISCO Science
   Focus Area and NASA's Modeling Analysis and Prediction (MAP) program
   (Grant 80NSSC21K1362).
CR Almazroui M, 2021, EARTH SYST ENVIRON, V5, P155, DOI 10.1007/s41748-021-00233-6
   Almazroui M, 2021, EARTH SYST ENVIRON, V5, P1, DOI 10.1007/s41748-021-00199-5
   Andela N, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abd2713
   [Anonymous], 1981, Monsoon Dynamics, DOI [DOI 10.1017/CBO9780511897580.009, 10.1017/cbo9780511897580.009]
   Appelhans T, 2016, FRONT EARTH SC-SWITZ, V4, DOI 10.3389/feart.2016.00003
   Balch JK, 2022, NATURE, V602, P442, DOI 10.1038/s41586-021-04325-1
   Black E, 2005, PHILOS T R SOC A, V363, P43, DOI 10.1098/rsta.2004.1474
   Boers N, 2019, NATURE, V566, P373, DOI 10.1038/s41586-018-0872-x
   Bombardi RJ, 2018, J CLIMATE, V31, P8181, DOI 10.1175/JCLI-D-18-0191.1
   Cai WJ, 2021, NAT REV EARTH ENV, V2, P628, DOI 10.1038/s43017-021-00199-z
   Cai WJ, 2015, NAT CLIM CHANGE, V5, P849, DOI [10.1038/NCLIMATE2743, 10.1038/nclimate2743]
   Chang CP, 2020, J METEOROL RES-PRC, V34, P294, DOI 10.1007/s13351-020-9181-z
   Chen XY, 2017, J CLIMATE, V30, P5473, DOI 10.1175/JCLI-D-16-0786.1
   Chen Y, 2011, SCIENCE, V334, P787, DOI 10.1126/science.1209472
   Chen Z, 2023, CLIM DYNAM, V60, P1481, DOI 10.1007/s00382-022-06398-8
   Dandi AR, 2021, CLIM DYNAM, V56, P439, DOI 10.1007/s00382-020-05487-w
   de Linage C, 2014, HYDROL EARTH SYST SC, V18, P2089, DOI 10.5194/hess-18-2089-2014
   Di Lorenzo E, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032838
   Doblas-Reyes FJ, 2013, WIRES CLIM CHANGE, V4, P245, DOI 10.1002/wcc.217
   Drosdowsky W, 2001, J CLIMATE, V14, P1677, DOI 10.1175/1520-0442(2001)014<1677:NACNGS>2.0.CO;2
   Drouard M, 2019, J CLIMATE, V32, P8047, DOI 10.1175/JCLI-D-18-0803.1
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fasullo JT, 2018, GEOPHYS RES LETT, V45, P9216, DOI 10.1029/2018GL079022
   Friedlingstein P, 2022, EARTH SYST SCI DATA, V14, P4811, DOI 10.5194/essd-14-4811-2022
   Garcia-Villada LP, 2020, CLIM DYNAM, V55, P2351, DOI 10.1007/s00382-020-05389-x
   Gidden MJ, 2019, GEOSCI MODEL DEV, V12, P1443, DOI 10.5194/gmd-12-1443-2019
   Guido Z, 2020, CLIM RISK MANAG, V30, DOI 10.1016/j.crm.2020.100247
   Hagger V, 2018, ECOL APPL, V28, P1797, DOI 10.1002/eap.1769
   Hamilton TW, 2016, RANGELAND ECOL MANAG, V69, P465, DOI 10.1016/j.rama.2016.06.008
   Haszpra T, 2020, EARTH SYST DYNAM, V11, P267, DOI 10.5194/esd-11-267-2020
   Huang P, 2015, NAT GEOSCI, V8, P922, DOI [10.1038/ngeo2571, 10.1038/NGEO2571]
   Iizumi T, 2018, CLIM SERV, V11, P13, DOI 10.1016/j.cliser.2018.06.003
   Iizumi T, 2013, NAT CLIM CHANGE, V3, P904, DOI [10.1038/NCLIMATE1945, 10.1038/nclimate1945]
   Jackson-Blake LA, 2022, HYDROL EARTH SYST SC, V26, P1389, DOI 10.5194/hess-26-1389-2022
   Kerr RA, 2000, SCIENCE, V288, P1984, DOI 10.1126/science.288.5473.1984
   Khan MZK, 2017, J GEOPHYS RES-ATMOS, V122, P4773, DOI 10.1002/2016JD025953
   Khan MZK, 2015, WATER RESOUR RES, V51, P3370, DOI 10.1002/2014WR015997
   Klemm T, 2017, AGR FOREST METEOROL, V232, P384, DOI 10.1016/j.agrformet.2016.09.005
   Kretschmer M, 2021, B AM METEOROL SOC, V102, pE2247, DOI 10.1175/BAMS-D-20-0117.1
   Kumar P, 2013, NAT CLIM CHANGE, V3, P783, DOI 10.1038/nclimate1996
   Laity JulieJ., 2009, Deserts and Desert Environments
   Lau KM, 2001, J CLIMATE, V14, P2880, DOI 10.1175/1520-0442(2001)014<2880:PMORSV>2.0.CO;2
   Le Quéré C, 2018, EARTH SYST SCI DATA, V10, P2141, DOI 10.5194/essd-10-2141-2018
   Lenssen NJL, 2020, WEATHER FORECAST, V35, P2387, DOI 10.1175/WAF-D-19-0235.1
   Lever J, 2016, NAT METHODS, V13, P703, DOI 10.1038/nmeth.3968
   Li JY, 2021, NATURE, V599, P425, DOI 10.1038/s41586-021-03943-z
   Lorenz EN, 1956, Empirical orthogonal functions and statistical weather prediction, V1, P49
   Maloney ED, 2019, NAT CLIM CHANGE, V9, P26, DOI 10.1038/s41558-018-0331-6
   Mamalakis A, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR031302
   Mamalakis A, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04722-7
   Mantua NJ, 2002, J OCEANOGR, V58, P35, DOI 10.1023/A:1015820616384
   Mason SJ, 2001, B AM METEOROL SOC, V82, P619, DOI 10.1175/1520-0477(2001)082<0619:PPAAWE>2.3.CO;2
   Matthes K, 2017, GEOSCI MODEL DEV, V10, P2247, DOI 10.5194/gmd-10-2247-2017
   McGregor S, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2021GL097511
   Meehl GA, 2007, CLIM DYNAM, V29, P779, DOI 10.1007/s00382-007-0268-3
   Meinshausen M, 2020, GEOSCI MODEL DEV, V13, P3571, DOI 10.5194/gmd-13-3571-2020
   Meinshausen M, 2017, GEOSCI MODEL DEV, V10, P2057, DOI 10.5194/gmd-10-2057-2017
   Messié M, 2011, J CLIMATE, V24, P4314, DOI 10.1175/2011JCLI3941.1
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   National Academies of Sciences Engineering Medicine, 2020, EARTH SYST PRED RES
   National Research Council, 2002, REP WORKSH PRED LIM
   Nicholson SE, 2017, REV GEOPHYS, V55, P590, DOI 10.1002/2016RG000544
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   OGALLO LJ, 1988, J METEOROL SOC JPN, V66, P807, DOI 10.2151/jmsj1965.66.6_807
   PALMER TN, 1994, Q J ROY METEOR SOC, V120, P755, DOI 10.1256/smsqj.51801
   Power S, 2013, NATURE, V502, P541, DOI 10.1038/nature12580
   Quan X, 2006, J CLIMATE, V19, P3279, DOI 10.1175/JCLI3789.1
   Ratna SB, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2020GL091497
   Sheshadri A, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL096126
   Shi H, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abm3468
   Stevens A, 2021, J CLIMATE, V34, P737, DOI [10.1175/jcli-d-20-0079.1, 10.1175/JCLI-D-20-0079.1]
   Stevenson S, 2012, J CLIMATE, V25, P2129, DOI 10.1175/JCLI-D-11-00252.1
   Tebaldi C, 2021, EARTH SYST DYNAM, V12, P253, DOI 10.5194/esd-12-253-2021
   Trenberth K., 2022, CHANGING FLOW ENERGY
   Wang XY, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aadbb9
   Wheeler MC, 2017, Q J ROY METEOR SOC, V143, P374, DOI 10.1002/qj.2928
   Yan H, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0125300
   Yeh SW, 2018, REV GEOPHYS, V56, P185, DOI 10.1002/2017RG000568
   Yun KS, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00108-8
   Zaveri E, 2020, P NATL ACAD SCI USA, V117, P10225, DOI 10.1073/pnas.1910719117
   Zhu HY, 2014, MON WEATHER REV, V142, P1556, DOI 10.1175/MWR-D-13-00222.1
NR 81
TC 15
Z9 15
U1 13
U2 37
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD JUN 28
PY 2023
VL 14
IS 1
AR 3822
DI 10.1038/s41467-023-39463-9
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA L5MF5
UT WOS:001023698800010
PM 37380668
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Krzyzak, J
   Rusinowski, S
   Sitko, K
   Szada-Borzyszkowska, A
   Borgulat, J
   Stec, R
   Hanslin, HM
   Pogrzeba, M
AF Krzyzak, Jacek
   Rusinowski, Szymon
   Sitko, Krzysztof
   Szada-Borzyszkowska, Alicja
   Borgulat, Jacek
   Stec, Radoslaw
   Hanslin, Hans Martin
   Pogrzeba, Marta
TI The Effect of Combined Drought and Temperature Stress on the
   Physiological Status of Calcareous Grassland Species as Potential
   Candidates for Urban Green Infrastructure
SO PLANTS-BASEL
LA English
DT Article
DE nature-based solutions; drought; heat; calcareous grassland species
ID RESPONSES; CONTEXT; GROWTH; ROOF
AB Nature-based solutions are promising for climate adaptation and environmental management in urban areas, but urban conditions are stressful for vegetation. In particular, the interaction of drought and high temperatures may be detrimental. Guiding plant selection for urban greening with native species requires a far better knowledge of plant adaptations and stress acclimation. We tested the physiological responses of four candidate calcareous grassland species for green roofs and walls to the combined effects of drought and high temperatures under controlled conditions. The tested species proved relatively resistant to stress despite different strategies to protect the photosynthetic apparatus, maintain water balance, and repair damages. Based on the physiological responses, we rank the species in descending order of resistance to the stress factors tested: Trifolium medium > Festuca ovina > Carex flacca > Potentilla reptans, but all four can serve as potential candidates for green walls and roofs. Physiological stress screening of plant species for use on green roofs and walls supplements the habitat template approach to provide a stronger and wider base for prioritizations.
C1 [Krzyzak, Jacek; Sitko, Krzysztof; Szada-Borzyszkowska, Alicja; Borgulat, Jacek; Stec, Radoslaw; Pogrzeba, Marta] Inst Ecol Ind Areas, 6 Kossutha St, PL-40844 Katowice, Poland.
   [Rusinowski, Szymon] CommLED Solut Sp Zoo, 149 Tarnogorska St, PL-44100 Gliwice, Poland.
   [Sitko, Krzysztof] Univ Silesiaia Katowice, Plant Ecophysiol Team, 28 Jagiellonska St, PL-40032 Katowice, Poland.
   [Hanslin, Hans Martin] Norwegian Inst Bioecon Res, Div Environm & Nat Resources, POB 115, NO-1431 As, Norway.
C3 Institute for Ecology of Industrial Areas; Norwegian Institute of
   Bioeconomy Research
RP Pogrzeba, M (corresponding author), Inst Ecol Ind Areas, 6 Kossutha St, PL-40844 Katowice, Poland.
EM j.krzyzak@ietu.pl; szymon.rusinowski@commled.eu;
   krzysztof.sitko@us.edu.pl; a.szada-borzyszkowska@ietu.pl;
   j.borgulat@ietu.pl; r.stec@ietu.pl; hans.martin.hanslin@nibio.no;
   m.pogrzeba@ietu.pl
RI Krzyżak, Jacek/AAT-6515-2020; Sitko, Krzysztof/AAA-9544-2020; Hanslin,
   Hans Martin/E-3048-2016; Szada-Borzyszkowska, Alicja/U-7554-2019
OI Stec, Radoslaw/0000-0003-3157-4456; Sitko,
   Krzysztof/0000-0002-4378-0399; Krzyzak, Jacek/0000-0003-1606-8416;
   Pogrzeba, Marta/0000-0002-9934-094X; Szada-Borzyszkowska,
   Alicja/0000-0002-5274-0276; Hanslin, Hans Martin/0000-0002-3224-2368
FU National Centre for Research and Development
   [NOR/POLNOR/Mod4GrIn/0013/2019-00]
FX This research was funded by the Norway Grants 2014-2021 Programme via
   the National Centre for Research and Development (grant agreement number
   NOR/POLNOR/Mod4GrIn/0013/2019-00).
CR Al-Yasi H, 2020, PLANT PHYSIOL BIOCH, V150, P133, DOI 10.1016/j.plaphy.2020.02.038
   [Anonymous], 2017, 145822017 PNEN PKN W
   [Anonymous], 1998, PNR040321998
   [Anonymous], 1996, METHODS SOIL ANAL
   [Anonymous], 1997, 112651997 PNISO PKN
   [Anonymous], 1998, ISO 13878:1998
   BARNES JD, 1992, ENVIRON EXP BOT, V32, P85, DOI 10.1016/0098-8472(92)90034-Y
   Bhusal N, 2021, SCI TOTAL ENVIRON, V779, DOI 10.1016/j.scitotenv.2021.146466
   Bhusal N, 2020, FOREST ECOL MANAG, V465, DOI 10.1016/j.foreco.2020.118099
   BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
   Bury M, 2021, IND CROP PROD, V167, DOI 10.1016/j.indcrop.2021.113502
   Calfapietra C, 2015, TRENDS PLANT SCI, V20, P72, DOI 10.1016/j.tplants.2014.11.001
   Dai HP, 2020, ECOTOX ENVIRON SAFE, V190, DOI 10.1016/j.ecoenv.2020.110176
   EGNER HANS, 1960, KUNGL LANTBRUKSHOGSKOLANS ANN, V26, P199
   Farrell C, 2013, PLANT SOIL, V372, P177, DOI 10.1007/s11104-013-1725-x
   Gaertner M, 2017, BIOL INVASIONS, V19, P3707, DOI [10.1007/s10530-017-1587-x, 10.1007/s10530-017-1598-7]
   Getter K.L., 2008, Selecting plants for extensive green roof in the United States, Extension Bulletin E -3047 - July 2008
   Hájek M, 2020, SCI TOTAL ENVIRON, V719, DOI 10.1016/j.scitotenv.2019.134693
   Heim A., 2021, URBAN SERVICES ECOSY, P61, DOI [10.1007/978-3-030-75929-2_4, DOI 10.1007/978-3-030-75929-2_4]
   Hodges DM, 1999, PLANTA, V207, P604, DOI 10.1007/s004250050524
   Hummel I, 2010, PLANT PHYSIOL, V154, P357, DOI 10.1104/pp.110.157008
   Joosten H., 2002, WISE USE MIRES PEATL
   Kaluarachchi Y, 2021, FRONT ENG MANAG, V8, P98, DOI 10.1007/s42524-020-0136-y
   Kerishnan PB, 2020, URBAN FOR URBAN GREE, V50, DOI 10.1016/j.ufug.2020.126647
   Khoshkholghsima NA, 2015, HORTIC ENVIRON BIOTE, V56, P383, DOI 10.1007/s13580-015-0010-8
   Kinlock NL, 2016, ISR J ECOL EVOL, V62, P32, DOI 10.1080/15659801.2015.1028143
   Lamers LPM, 2015, BIOL REV, V90, P182, DOI 10.1111/brv.12102
   Lampinen J, 2022, URBAN FOR URBAN GREE, V75, DOI 10.1016/j.ufug.2022.127682
   Landi S, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01214
   Lehmair TA, 2020, LANDSCAPE ECOL, V35, P2881, DOI 10.1007/s10980-020-01120-7
   Li Z, 2013, ACTA PHYSIOL PLANT, V35, P213, DOI 10.1007/s11738-012-1066-z
   Lundholm J.T., 2006, URB HABITAT, V4, P87
   Manso M, 2021, RENEW SUST ENERG REV, V135, DOI 10.1016/j.rser.2020.110111
   Matsuoka T, 2020, URBAN FOR URBAN GREE, V56, DOI 10.1016/j.ufug.2020.126875
   Mazalla L, 2022, APPL VEG SCI, V25, DOI 10.1111/avsc.12672
   Nitoslawski SA, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101770
   Noctor G, 2016, PLANT CELL ENVIRON, V39, P1140, DOI 10.1111/pce.12726
   Poonghuzhali T.V., 2015, INT J SCI RES, V4, P1850
   Radhakrishnan M, 2019, SUSTAIN PROD CONSUMP, V20, P316, DOI 10.1016/j.spc.2019.08.004
   Rayner JP, 2016, URBAN FOR URBAN GREE, V15, P6, DOI 10.1016/j.ufug.2015.11.004
   Reynolds-Henne CE, 2010, ENVIRON EXP BOT, V68, P37, DOI 10.1016/j.envexpbot.2009.11.002
   Rusinowski S, 2019, ENVIRON POLLUT, V252, P1377, DOI 10.1016/j.envpol.2019.06.062
   Seyedabadi MR, 2022, ENVIRON SCI POLLUT R, V29, P14121, DOI 10.1007/s11356-021-16750-w
   Sharma R, 2021, WIRES WATER, V8, DOI 10.1002/wat2.1507
   Shirgir E, 2019, J CLIM CHANG, V5, P61, DOI 10.3233/JCC190007
   van der Kolk HJ, 2020, URBAN ECOSYST, V23, P935, DOI 10.1007/s11252-020-00980-w
   Van Mechelen C, 2015, SUSTAIN CITIES SOC, V19, P74, DOI 10.1016/j.scs.2015.07.007
   Vandati N, 2017, J ENVIRON MANAGE, V192, P215, DOI 10.1016/j.jenvman.2017.01.027
   Volk M, 2000, OECOLOGIA, V125, P380, DOI 10.1007/s004420000454
   Wang JY, 2017, J AM SOC HORTIC SCI, V142, P367, DOI 10.21273/JASHS04121-17
   Wong NH, 2021, NAT REV EARTH ENV, V2, P166, DOI 10.1038/s43017-020-00129-5
NR 51
TC 3
Z9 3
U1 2
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2223-7747
J9 PLANTS-BASEL
JI Plants-Basel
PD MAY 16
PY 2023
VL 12
IS 10
AR 2003
DI 10.3390/plants12102003
PG 13
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA H5ZX6
UT WOS:000996754100001
PM 37653919
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Millar, CI
   Charlet, DA
   Westfall, RD
   King, JC
   Delany, DL
   Flint, AL
   Flint, LE
AF Millar, Constance I.
   Charlet, David A.
   Westfall, Robert D.
   King, John C.
   Delany, Diane L.
   Flint, Alan L.
   Flint, Lorraine E.
TI Do low-elevation ravines provide climate refugia for subalpine limber
   pine (<i>Pinus flexilis</i>) in the Great Basin, USA?
SO CANADIAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE climate refugia; Great Basin; limber pine; microclimates; cold-air
   drainage
ID MICROREFUGIA; CALIFORNIA; MOUNTAINS; PATTERNS; HOLOCENE; DROUGHT;
   SURFACE; SHIFTS; TREES
AB Climate refugia are locations where decoupled climate processes enable species to persist despite unfavorable climate changes in surrounding landscapes. Despite theoretic bases and paleo-ecological evidence, refugia have not been widely characterized under modern conditions in mountain regions. Conifers in the Great Basin, USA, provide an opportunity to evaluate the potential of low-elevation ravine and riparian (LERR) contexts to function as climate refugia. We provide evidence for significantly higher than expected occurrence of limber pine (Pinus flexilis E. James) in LERR contexts (mean 64%) across 43 mountain ranges. We document with observed and modeled data that LERR contexts are cooler and wetter than expected for their elevations, have low solar radiation, and produce larger (more positive) lapse rates relative to upland slopes. Together these findings suggest that LERR contexts generate decoupled microclimates that provide climate refugia for limber pine. In that refugia management has been promoted as a contemporary climate adaptation strategy, our findings suggest that LERR contexts be further evaluated for their conservation potential.
C1 [Millar, Constance I.; Westfall, Robert D.; Delany, Diane L.] US Forest Serv, Pacific Southwest Res Stn, USDA, 800 Buchanan St, Albany, CA 94710 USA.
   [Charlet, David A.] Coll Southern Nevada, Dept Biol, 700 Coll Dr, Henderson, NV 89002 USA.
   [King, John C.] Lone Pine Res, 2604 Westridge Dr, Bozeman, MT 59715 USA.
   [Flint, Alan L.; Flint, Lorraine E.] US Geol Survey, Calif Water Sci Ctr, Placer Hall,6000 J St, Sacramento, CA 95819 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; United States Department of the Interior; United States
   Geological Survey
RP Millar, CI (corresponding author), US Forest Serv, Pacific Southwest Res Stn, USDA, 800 Buchanan St, Albany, CA 94710 USA.
EM cmillar@fs.fed.us
OI King, John/0000-0002-1036-3476
CR [Anonymous], PSW821972 USDA FOR S
   [Anonymous], 2015, ARCGIS 10 3 1
   Ashcroft MB, 2010, J BIOGEOGR, V37, P1407, DOI 10.1111/j.1365-2699.2010.02300.x
   Baker BB, 2007, ARCT ANTARCT ALP RES, V39, P200, DOI 10.1657/1523-0430(2007)39[200:ATARGI]2.0.CO;2
   Beckage B, 2008, P NATL ACAD SCI USA, V105, P4197, DOI 10.1073/pnas.0708921105
   Bell DM, 2014, GLOBAL CHANGE BIOL, V20, P1441, DOI 10.1111/gcb.12504
   Beniston M, 2003, CLIMATIC CHANGE, V59, P5, DOI 10.1023/A:1024458411589
   Bennett KD, 2008, QUATERNARY SCI REV, V27, P2449, DOI 10.1016/j.quascirev.2008.08.019
   Birks H.J.B, 1983, ATLAS PRESENT POLLEN
   Birks HJB, 2008, PLANT ECOL DIVERS, V1, P147, DOI 10.1080/17550870802349146
   Brubaker LB, 2005, J BIOGEOGR, V32, P833, DOI 10.1111/j.1365-2699.2004.01203.x
   Brussard P. F., 1999, STATUS TRENDS NATION, P505
   Burns R.M., 1990, USDA For. Serv. Agric. Handb, P654
   Caissie D, 2006, FRESHWATER BIOL, V51, P1389, DOI 10.1111/j.1365-2427.2006.01597.x
   Charlet D.A., 1996, ATLAS NEVADA CONIFER
   Charlet David Alan, 2007, Aliso, V24, P31
   Crimmins SM, 2011, SCIENCE, V331, P324, DOI 10.1126/science.1199040
   Curtis JA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0106984
   DALY C, 1994, J APPL METEOROL, V33, P140, DOI 10.1175/1520-0450(1994)033<0140:ASTMFM>2.0.CO;2
   Daly C, 2007, J APPL METEOROL CLIM, V46, P1565, DOI 10.1175/JAM2548.1
   Daly C, 2010, INT J CLIMATOL, V30, P1857, DOI 10.1002/joc.2007
   Dobrowski SZ, 2011, GLOBAL CHANGE BIOL, V17, P1022, DOI 10.1111/j.1365-2486.2010.02263.x
   Elliot-Fisk Deborah., 1991, NATURAL HIST WHITE I, P87
   Flint L.E., 2013, ECOL PROCESS, V2, P1, DOI [DOI 10.1186/2192-1709-2-25, 10.1186/2192-1709-2-25]
   Fu Pinde, 1999, P 19 ANN ESRI US C U, P1
   Gentili R, 2015, ECOL COMPLEX, V21, P87, DOI 10.1016/j.ecocom.2014.11.006
   Grayson DK, 2011, GREAT BASIN NATURAL
   Haffer J., 1982, P6
   Hampe A, 2011, ANNU REV ECOL EVOL S, V42, P313, DOI 10.1146/annurev-ecolsys-102710-145015
   HUNTLEY B, 1989, J BIOGEOGR, V16, P5, DOI 10.2307/2845307
   Jeffress MR, 2017, WEST N AM NATURALIST, V77, P252, DOI 10.3398/064.077.0213
   Jewett DG, 2004, SCI PRAC ECOL REST, P124
   Lenoir J, 2008, SCIENCE, V320, P1768, DOI 10.1126/science.1156831
   Lenoir J, 2010, ECOGRAPHY, V33, P295, DOI 10.1111/j.1600-0587.2010.06279.x
   Lundquist JD, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2008JD009879
   Maurer EP, 2002, J CLIMATE, V15, P3237, DOI 10.1175/1520-0442(2002)015<3237:ALTHBD>2.0.CO;2
   Mensing SA, 2013, QUATERNARY SCI REV, V78, P266, DOI 10.1016/j.quascirev.2013.08.010
   Millar CI, 2015, CAN J FOREST RES, V45, P1299, DOI 10.1139/cjfr-2015-0025
   Millar CI, 2012, CAN J FOREST RES, V42, P749, DOI [10.1139/x2012-031, 10.1139/X2012-031]
   Morelli TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0159909
   National Geographic ESRI DeLorme NAVTEQ UNEP-WCMC USGS NASA ESA METI NRCAN GEBCO NOAA and iPC, 2011, DIG TOP BAS WORLD
   Rull V, 2009, J BIOGEOGR, V36, P481, DOI 10.1111/j.1365-2699.2008.02023.x
   STINE S, 1994, NATURE, V369, P546, DOI 10.1038/369546a0
   Tausch RJ, 2004, SCI PRAC ECOL REST, P24
   Thompson R.S., 1988, VEGETATION HIST, P415, DOI [10.1007/978-94-009-3081-0_12, DOI 10.1007/978-94-009-3081-0_12]
   Thompson RobertS., 1990, Packrat Middens: The Last 40,000 Years o/Biotic Change, P200
   Van Gunst KJ, 2016, FOREST ECOL MANAG, V359, P19, DOI 10.1016/j.foreco.2015.09.032
   WELLS PV, 1983, ECOL MONOGR, V53, P341, DOI 10.2307/1942644
NR 48
TC 24
Z9 27
U1 0
U2 15
PU CANADIAN SCIENCE PUBLISHING
PI OTTAWA
PA 65 AURIGA DR, SUITE 203, OTTAWA, ON K2E 7W6, CANADA
SN 0045-5067
EI 1208-6037
J9 CAN J FOREST RES
JI Can. J. For. Res.
PD JUN
PY 2018
VL 48
IS 6
BP 663
EP 671
DI 10.1139/cjfr-2017-0374
PG 9
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA GH1HQ
UT WOS:000433154400006
DA 2025-01-10
ER

PT J
AU Nelson, GC
   Shively, GE
AF Nelson, Gerald C.
   Shively, Gerald E.
TI Modeling climate change and agriculture: an introduction to the special
   issue
SO AGRICULTURAL ECONOMICS
LA English
DT Article
DE Agriculture; Bioenergy climate adaptation; Climate change; Climate
   mitigation; Modeling
AB This issue of Agricultural Economics is a special issue containing articles on model performance in assessing the effects of climate change, bioenergy policy, and socioeconomics on agriculture. The contributions present results from a global economic model intercomparison activity undertaken as part of the AgMIP Project (www.agmip.org). The origins of the comparison activities can be traced to a project that was organized by the OECD in late 2010 to compare results from three models. The current phase of the research includes 10 models and was designed in part to support of the IPCC fifth assessment report (AR5). The special issue includes seven peer-reviewed articles that present thematic results from a range of modeling strategies, with partial and general equilibrium modeling as a high level distinction but a myriad of differences within these two model types. A central common element is harmonization on biophysical effects using crop models and socioeconomic effects using drivers from the Shared Socioeconomic Pathways developed as part of the AR5 process. The special issue provides broad insights into how the modeling communities approached the interactions of climate, socioeconomics, bioenergy policy on agricultural outcomes, including land use, prices, consumption, and production.
C1 [Nelson, Gerald C.] IFPRI, Champaign, IL 61801 USA.
   [Nelson, Gerald C.] Univ Illinois, Champaign, IL 61801 USA.
   [Shively, Gerald E.] Purdue Univ, W Lafayette, IN 47906 USA.
C3 CGIAR; International Food Policy Research Institute (IFPRI); University
   of Illinois System; University of Illinois Urbana-Champaign; Purdue
   University System; Purdue University
RP Nelson, GC (corresponding author), IFPRI, Champaign, IL 61801 USA.
EM nelson.gerald.c@gmail.com
RI Nelson, Gerald/L-5903-2019
NR 0
TC 23
Z9 23
U1 2
U2 63
PU WILEY-BLACKWELL
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0169-5150
EI 1574-0862
J9 AGR ECON-BLACKWELL
JI Agric. Econ.
PD JAN
PY 2014
VL 45
IS 1
BP 1
EP 2
DI 10.1111/agec.12093
PG 2
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA 292QK
UT WOS:000329917000001
OA Bronze
DA 2025-01-10
ER

PT J
AU Gersonius, B
   Ashley, R
   Pathirana, A
   Zevenbergen, C
AF Gersonius, B.
   Ashley, R.
   Pathirana, A.
   Zevenbergen, C.
TI Managing the flooding system's resiliency to climate change
SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-ENGINEERING
   SUSTAINABILITY
LA English
DT Article
DE floods & floodworks; infrastructure planning; sewers & drains
ID SOCIAL-ECOLOGICAL SYSTEMS; MANAGEMENT; METAPHOR; STRATEGY
AB An increasing lack of stationarity in environmental phenomena and hence in the predictability of loading and effects makes it necessary to modify the traditional approach for planning and risk assessment of flood mitigation. The traditional approach attempts to manage the flooding system with the use of predictive/optimisation methods. These use the 'most likely' or average future projection to identify a singular optimal adaptation strategy. Because the planning and risk management in this method is often decoupled from the dynamics and uncertainty of the flooding system, this is a rather risky approach. This paper argues that responsible climate adaptation requires an alternative approach that attempts to assess and manage the resiliency of the flooding system for long-term future change. The aim of such an approach is to keep the system within a configuration of states that gives at least acceptable functioning despite the occurrence of possible changes. The paper proposes an options planning and assessment process for managing the resiliency of the flooding system to climate change. This process explicitly acknowledges the uncertainty in future climate conditions by introducing and implementing flexibility (real options) into the designed components of the flooding system.
C1 [Gersonius, B.; Ashley, R.; Zevenbergen, C.] UNESCO, IHE Inst Water Educ, Dept Water Engn, Delft, Netherlands.
   [Pathirana, A.] UNESCO, IHE Inst Water Educ, Dept Urban Water & Sanitat, Delft, Netherlands.
   [Zevenbergen, C.] Delft Univ Technol, Dept Hydraul Engn, Delft, Netherlands.
C3 IHE Delft Institute for Water Education; IHE Delft Institute for Water
   Education; Delft University of Technology
RP Gersonius, B (corresponding author), UNESCO, IHE Inst Water Educ, Dept Water Engn, Delft, Netherlands.
RI Pathirana, Assela/B-5189-2011; Gersonius, Berry/C-7724-2009
OI Gersonius, Berry/0000-0002-2681-9474; Pathirana,
   Assela/0000-0003-0907-1764
FU EU
FX The authors gratefully acknowledge the support of the EU's Interreg IVB
   project MARE.
CR ALLASIA D, 2002, THESIS UFRGS PORTO A
   [Anonymous], [No title captured]
   Ashley R.M., 2008, Adaptable Urban Drainage - Addressing Change in Intensity, Occurrence and Uncertainty of Stormwater
   Brand FS, 2007, ECOL SOC, V12
   BRINSMEAD T, 2005, SUSTAINABILITIES SYS
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   de Neufville R., 2003, INTEGRATED ASSESSMEN, V4, P26, DOI DOI 10.1076/IAIJ.4.1.26.16461
   *DEFRA, 2006, FLOOD COAST DEF APPR
   DEGRAAF R, 2009, NAT HAZARDS, V51, P1
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   HALL J, 2009, 7 INT S EC 8 INT C H
   HARVEY H, 2009, 18 WORLD IMACS MODSI
   Ingham A, 2007, ENERG POLICY, V35, P5354, DOI 10.1016/j.enpol.2006.01.031
   Kabat P, 2005, NATURE, V438, P283, DOI 10.1038/438283a
   KWADIJK J, CLIMATE CHA IN PRESS
   Leeds City Council City of Bradford Metropolitan District Council Yorkshire Water Services Environment Agency Pennine Water Group, 2008, W GARF INT URB DRAIN
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   *MIN VERK WAT, 2008, WAT 21E EEUW KENT KO
   MYERS SC, 1984, INTERFACES, V14, P126, DOI 10.1287/inte.14.1.126
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Walker B, 2002, CONSERV ECOL, V6
   Walker W, 2000, RES POLICY, V29, P833, DOI 10.1016/S0048-7333(00)00108-6
   WANG T, 2004, 8 ANN REAL OPT INT C
   ZHANG S, 2009, 7 INT S EC 8 INT C H
NR 24
TC 17
Z9 25
U1 1
U2 26
PU THOMAS TELFORD PUBLISHING
PI LONDON
PA THOMAS TELFORD HOUSE, 1 HERON QUAY, LONDON E14 4JD, ENGLAND
SN 1478-4629
J9 P I CIVIL ENG-ENG SU
JI Proc. Inst. Civ. Eng.-Eng. Sustain.
PD MAR
PY 2010
VL 163
IS 1
BP 15
EP 22
DI 10.1680/ensu.2010.163.1.15
PG 8
WC Green & Sustainable Science & Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering
GA 578PI
UT WOS:000276305400005
DA 2025-01-10
ER

PT J
AU Patt, A
   Suarez, P
   Hess, U
AF Patt, Anthony
   Suarez, Pablo
   Hess, Ulrich
TI How do small-holder farmers understand insurance, and how much do they
   want it? Evidence from Africa
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Insurance; Micro-finance; Sustainable development; Climate adaptation
ID SEASONAL CLIMATE FORECASTS; SUBSISTENCE FARMERS; RISK MANAGEMENT;
   PROSPECT-THEORY; PERCEPTIONS; ADAPTATION; DISSEMINATION; COMMUNICATION;
   VARIABILITY; RESPONSES
AB Innovative micro-insurance schemes can be one tool to help African small-holder farmers cope with climate variability and change. A critical challenge for implementing such risk transfer programs, however, is helping participants understand how insurance operates, and there is evidence that farmers with a poor understanding of insurance are less likely to use it. One of the proposed tools to help farmers understand insurance is a simulation game, through which farmers can gain first-hand experience with a functioning insurance market. This paper reports on the results of experiments in Ethiopia and Malawi, investigating farmers' understanding and the effectiveness of a role-playing game at improving that understanding. Our results suggest a generally poor understanding of basic insurance concepts, and are consistent with past results in suggesting that better understanding correlates with greater willingness to purchase it. Our results also suggest that role-playing games may be an important tool for improving understanding, but that they do not necessarily out-perform more conventional training practices. (C) 2009 Elsevier Ltd. All rights reserved.
C1 [Patt, Anthony] Int Inst Appl Syst Anal, Risk & Vulnerabil Programme, A-2361 Laxenburg, Austria.
   [Suarez, Pablo] Red Cross Red Crescent Climate Ctr, The Hague, Netherlands.
   [Hess, Ulrich] World Food Programme, Rome, Italy.
C3 International Institute for Applied Systems Analysis (IIASA)
RP Patt, A (corresponding author), Int Inst Appl Syst Anal, Risk & Vulnerabil Programme, Schlosspl 1, A-2361 Laxenburg, Austria.
EM patt@iiasa.ac.at
RI Patt, Anthony/E-5437-2017
OI Patt, Anthony/0000-0001-8428-8707
FU World Food Programme; International Fund for Agricultural Development;
   Bill and Melinda Gates Foundation
FX Funding for this work came from the World Food Programme and the
   International Fund for Agricultural Development, with support from the
   Bill and Melinda Gates Foundation. We would like to thank Aurore Rusiga,
   Bronwyn Cousins, and Leah Malikebu for their logistical support in the
   field, and Michael Carter, Daniel Osgood, and Marjorie Victor for their
   guidance on the experimental design, as well as the comments of two
   anonymous reviewers. Any remaining errors of fact or omission are the
   fault of the authors.
CR [Anonymous], WORKING PAPERS ENV P
   [Anonymous], 1995, HDB EXPT EC
   [Anonymous], 2001, DAHL WS ENV
   [Anonymous], PROTECTING POOR MICR
   Barreteau O, 2001, JASSS-J ARTIF SOC S, V4
   BASHER R, 2000, MULTISTAKEHOLDER REV
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Broad K, 2000, SCIENCE, V289, P1693
   Camerer C.F., 2001, Choices, Values, and Frames, P288
   Carter MichaelR., 2008, Insuring the Never Before Insured: Explaining Index Insurance Through Financial Education Games
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Cohen M.J. Sebstad., 2006, Protecting the poor: A microinsurance compendium, V1, P25
   Dercon S., 2008, Literature Review on Microinsurance
   Diarra D, 2007, CLIMATE RISK MANAGEM, P59
   Dinku T, 2009, DESIGNING INDEX BASE
   *FAO, 2000, PUBL ASS AGR DEV AFR
   Freeman PK, 2002, GENEVA PAP R I-ISS P, V27, P196, DOI 10.1111/1468-0440.00164
   Giné X, 2009, J DEV ECON, V89, P1, DOI 10.1016/j.jdeveco.2008.09.007
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Hochrainer S, 2009, MITIG ADAPT STRAT GL, V14, P231, DOI 10.1007/s11027-008-9162-5
   *IRI, 2005, SUST DEV AFR IS CLIM
   JOHNSON EJ, 1993, J RISK UNCERTAINTY, V7, P35, DOI 10.1007/BF01065313
   KAHNEMAN D, 1990, J POLIT ECON, V98, P1325, DOI 10.1086/261737
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Klopper E, 2006, CLIMATIC CHANGE, V76, P73, DOI 10.1007/s10584-005-9019-9
   Klopper E, 1999, WATER SA, V25, P311
   Krolikowska K, 2007, SIMULAT GAMING, V38, P195, DOI 10.1177/1046878107300661
   Leftley R., 2006, Effective microinsurance programs to reduce vulnerability
   Linnerooth-Bayer J, 2005, SCIENCE, V309, P1044, DOI 10.1126/science.1116783
   Martin L, 2007, SIMULAT GAMING, V38, P211, DOI 10.1177/1046878107300663
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   Meze-Hausken E, 2009, GLOBAL ENVIRON CHANG, V19, P66, DOI 10.1016/j.gloenvcha.2008.09.001
   NISBETT RE, 1983, PSYCHOL REV, V90, P339, DOI 10.1037/0033-295X.90.4.339
   ORLOVE BS, 2005, ETNOFOOR, V18, P124
   Osbahr H, 2008, GEOFORUM, V39, P1951, DOI 10.1016/j.geoforum.2008.07.010
   Osgood Daniel E., 2007, Climate Risk Management in Africa: Learning from Practice, P75
   Patt A, 2005, P NATL ACAD SCI USA, V102, P12623, DOI 10.1073/pnas.0506125102
   Patt A, 2002, GLOBAL ENVIRON CHANG, V12, P185, DOI 10.1016/S0959-3780(02)00013-4
   Patt A, 2009, MITIG ADAPT STRAT GL, V14, P737, DOI 10.1007/s11027-009-9196-3
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Patt AG, 2007, SCIENCE, V318, P49, DOI 10.1126/science.1147909
   Patt AG, 2006, J BEHAV DECIS MAKING, V19, P347, DOI 10.1002/bdm.532
   Payne J.W., 1993, ADAPTIVE DECISION MA, DOI [10.1017/CBO9781139173933, DOI 10.1017/CBO9781139173933]
   PETERSON N, 2009, INDEX INSURANCE GAME
   Phillips J, 2004, IMPROVING CLIMATE FO
   Roncoli C, 2001, CLIM RES, V19, P119, DOI 10.3354/cr019119
   Roncoli C, 2009, CLIMATIC CHANGE, V92, P433, DOI 10.1007/s10584-008-9445-6
   Scoones Ian., 1996, HAZARDS OPPORTUNITIE
   SIMON HA, 1956, PSYCHOL REV, V63, P129, DOI 10.1037/h0042769
   Suarez P., 2004, Risk, Decision and Policy, V9, P75, DOI DOI 10.1080/14664530490429968
   SUAREZ P, 2007, I CLIMATE CHANGE ADA, P80
   Tarhule A, 2003, B AM METEOROL SOC, V84, P1741, DOI 10.1175/BAMS-84-12-1741
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   TVERSKY A, 1992, J RISK UNCERTAINTY, V5, P297, DOI 10.1007/BF00122574
   Washington R, 2006, B AM METEOROL SOC, V87, P1355, DOI 10.1175/BAMS-87-10-1355
   Weber E.U., 2000, Risk, Decision and Policy, V5, P69
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   White P., 2005, Disaster risk reduction: a development concern. A scoping study on links between disaster risk reduction
   Ziervogel G, 2004, GEOGR J, V170, P6, DOI 10.1111/j.0016-7398.2004.05002.x
   Ziervogel G, 2003, AREA, V35, P403, DOI 10.1111/j.0004-0894.2003.00190.x
   Ziervogel G, 2004, CLIMATIC CHANGE, V65, P73, DOI 10.1023/B:CLIM.0000037492.18679.9e
NR 62
TC 73
Z9 78
U1 6
U2 40
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD FEB
PY 2010
VL 20
IS 1
SI SI
BP 153
EP 161
DI 10.1016/j.gloenvcha.2009.10.007
PG 9
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 557MF
UT WOS:000274672500017
DA 2025-01-10
ER

PT J
AU Xu, XK
   Zhang, F
   Levy, JK
AF Xu Xingkui
   Zhang Feng
   Levy, Jason K.
TI The influence of land surface changes on regional climate in northwest
   China
SO ADVANCES IN ATMOSPHERIC SCIENCES
LA English
DT Article
DE land surface features; climatic effect; Northwest China; TOVS;
   NOAA-AVHRR
ID GENERAL-CIRCULATION; SNOW-COVER
AB Land surface changes effect the regional climate due to the complex coupling of land-atmosphere interactions. From 1995 to 2000, a decrease in the vegetation density and an increase in ground-level thermodynamic activity has been documented by multiple data sources in Northwest China, including meteorological, reanalysis from European Centre for Medium-Range Weather Forecasts (ECMWF), National Oceanic and Atmospheric Administration's (NOAA) Advanced Very High Resolution Radiometer (AVHRR) and TIROS Operational Vertical Sounder (TOVS) satellite remote sensing data. As the ground-level thermodynamic activity increases, humid air from the surrounding regions converge toward desert (and semi-desert) regions, causing areas with high vegetation cover to become gradually more arid. Furthermore, land surface changes in Northwest China are responsible for a decrease in total cloud cover, a decline in the fraction of low and middle clouds, an increase in high cloud cover (due to thermodynamic activity) and other regional climatic adaptations. It is proposed that, beginning in 1995, these cloud cover changes contributed to a "greenhouse" effect, leading to the rapid air temperature increases and other regional climate impacts that have been observed over Northwest China.
C1 Chinese Acad Sci, Inst Atmospher Phys, Int Ctr Climate & Environm Sci, Beijing 100029, Peoples R China.
   Western Washington Univ, Dept Environm Studies, Huxley Coll Environm, Bellingham, WA 98225 USA.
C3 Chinese Academy of Sciences; Institute of Atmospheric Physics, CAS;
   Western Washington University
RP Xu, XK (corresponding author), Chinese Acad Sci, Inst Atmospher Phys, Int Ctr Climate & Environm Sci, Beijing 100029, Peoples R China.
EM xkxu@mail.iap.ac.cn
CR CARLOS AN, 1991, J CLIMATE, V4, P957
   CHARNEY JG, 1975, Q J ROY METEOR SOC, V101, P193, DOI 10.1002/qj.49710142802
   Cheng S., 2000, J. Nat. Resour., V15, P297
   Chou MD, 1998, J CLIMATE, V11, P202, DOI 10.1175/1520-0442(1998)011<0202:PFCOAS>2.0.CO;2
   Fan GZ, 1998, PLATEAU METEOROLOGY, V17, P300
   GOODY RM, 1989, ATM RAD THEORETICAL
   Liou K., 1992, RAD CLOUD PROCESSES
   [刘良明 Liu Liangming], 2005, [武汉大学学报. 信息科学版, Geomatics and Information Science of Wuhan University], V30, P139
   Lu S H, 1999, PLATEAU METEOROLOGY, V18, P416
   Niu Y., 1999, PROG GEOGR, V18, P163
   SELLERS PJ, 1989, J APPL METEOR, V101, P193
   SHUKLA J, 1982, SCIENCE, V215, P1498, DOI 10.1126/science.215.4539.1498
   STARR DO, 1987, B AM METEOROL SOC, V68, P119, DOI 10.1175/1520-0477(1987)068<0119:ACCEIF>2.0.CO;2
   *STAT DEV PLANN CO, 1991, LAND US MAP CHIN
   SUD YC, 1988, J APPL METEOROL, V27, P1036, DOI 10.1175/1520-0450(1988)027<1036:IOLSRO>2.0.CO;2
   Susskind J, 1997, B AM METEOROL SOC, V78, P1449, DOI 10.1175/1520-0477(1997)078<1449:COTTPP>2.0.CO;2
   TONG QX, 1990, SPECTRA TYPICAL OBJE
   [王绍令 Wang Shaoling], 2002, [中国沙漠, Journal of Desert Research], V22, P33
   [王涛 Wang Tao], 2004, [地理学报, Acta Geographica Sinica], V59, P203
   [王一博 Wang Yibo], 2004, [冰川冻土, Journal of Glaciology and Geocryology], V26, P523
   [徐兴奎 Xu Xingkui], 2003, [生态学报, Acta Ecologica Sinica], V23, P221
   Xu XK, 2006, CHINESE SCI BULL, V51, P331, DOI 10.1007/s11434-006-0331-1
   XU XK, 2002, PROGR NATURAL SCI, V12, P46
   XUE YK, 1990, J CLIMATE, V3, P337, DOI 10.1175/1520-0442(1990)003<0337:IOBFOT>2.0.CO;2
   YEH TC, 1983, MON WEATHER REV, V111, P1013, DOI 10.1175/1520-0493(1983)111<1013:AMSOTS>2.0.CO;2
   YEH TC, 1984, MON WEATHER REV, V112, P474, DOI 10.1175/1520-0493(1984)112<0474:TEOSMO>2.0.CO;2
   YEH TC, 1988, DYNAMIC METEOROLOGY
   ZHOU GS, 1999, J NATURAL RESOURCES, V4, P318
   Zhu Bingyuan, 1992, Scientia Atmospherica Sinica, V16, P185
NR 29
TC 5
Z9 5
U1 1
U2 19
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0256-1530
EI 1861-9533
J9 ADV ATMOS SCI
JI Adv. Atmos. Sci.
PD MAY
PY 2007
VL 24
IS 3
BP 527
EP 537
DI 10.1007/s00376-007-0527-6
PG 11
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA 169AX
UT WOS:000246566200015
DA 2025-01-10
ER

PT J
AU Rurinda, J
   Mapfumo, P
   van Wijk, MT
   Mtambanengwe, F
   Rufino, MC
   Chikowo, R
   Giller, KE
AF Rurinda, J.
   Mapfumo, P.
   van Wijk, M. T.
   Mtambanengwe, F.
   Rufino, M. C.
   Chikowo, R.
   Giller, K. E.
TI Comparative assessment of maize, finger millet and sorghum for household
   food security in the face of increasing climatic risk
SO EUROPEAN JOURNAL OF AGRONOMY
LA English
DT Article
DE Climate change adaptation; Crop diversification; Planting date; Climate
   variability; Nutrient management
ID SOIL FERTILITY; SANDY SOIL; VARIABILITY; MANAGEMENT; ADAPTATION;
   PRODUCTIVITY; AGRICULTURE; IMPACTS; FARMERS; SYSTEMS
AB Questions as to which crop to grow, where, when and with what management, will be increasingly challenging for farmers in the face of a changing climate. The objective of this study was to evaluate emergence, yield and financial benefits of maize, finger millet and sorghum, planted at different dates and managed with variable soil nutrient inputs in order to develop adaptation options for stabilizing food production and income for smallholder households in the face of climate change and variability. Field experiments with maize, finger millet and sorghum were conducted in farmers' fields in Makoni and Hwedza districts in eastern Zimbabwe for three seasons: 2009/10,2010/11 and 2011/12. Three fertilization rates: high (90 kg N ha(-1), 26 kg Pha(-1), 7 t ha(-1) manure), low (35 kg N ha(-1), 14 kg P ha(-1), 3 t ha(-1) manure) and a control (zero fertilization); and three planting dates: early, normal and late, were compared. Crop emergence for the unfertilized finger millet and sorghum was <15% compared with >70% for the fertilized treatments. In contrast, the emergence for maize (a medium-maturity hybrid cultivar, SC635), was >80% regardless of the amount of fertilizer applied. Maize yield was greater than that of finger millet and sorghum, also in the season (2010/11) which had poor rainfall distribution. Maize yielded 5.4 t ha(-1) compared with 3.1 t ha(-1) for finger millet and 3.3 t ha(-1) for sorghum for the early plantings in the 2009/10 rainfall season in Makoni, a site with relatively fertile soils. In the poorer 2010/11 season, early planted maize yielded 2.4 t ha(-1), against 1.6 t ha(-1) for finger millet and 0.4 t ha(-1) for sorghum in Makoni. Similar yield trends were observed on the nutrient-depleted soils in Hwedza, although yields were less than those observed in Makoni. All crops yielded significantly more with increasing rates of fertilization when planting was done early or in what farmers considered the 'normal window'. Crops planted early or during the normal planting window gave comparable yields that were greater than yields of late-planted crops. Water productivity for each crop planted early or during the normal window increased with increase in the amount of fertilizer applied, but differed between crop type. Maize had the highest water productivity (8.0 kg dry matter mm(-1) ha(-1)) followed by sorghum (4.9 kg mm(-1) ha(-1)) and then finger millet (4.6 kg mm(-1) ha(-1)) when a high fertilizer rate was applied to the early-planted crop. Marginal rates of return for maize production were greater for the high fertilization rate (>50%) than for thelow rate (<50%). However, the financial returns for finger millet were more attractive for the low fertilization rate (>100%) than for the high rate (<100%). Although maize yield was greater compared with finger millet, the latter had a higher content of calcium and can be stored for up to five years. The superiority of maize, in terms of yields, over finger millet and sorghum, suggests that the recommendation to substitute maize with small grains may not be a robust option for adaptation to increased temperatures and more frequent droughts likely to be experienced in Zimbabwe and other parts of southern Africa. (C) 2014 Elsevier B.V. All rights reserved.
C1 [Rurinda, J.; van Wijk, M. T.; Giller, K. E.] Wageningen Univ, NL-6700 AK Wageningen, Netherlands.
   [Rurinda, J.; Mapfumo, P.; Mtambanengwe, F.; Chikowo, R.] Univ Zimbabwe, Dept Soil Sci & Agr Engn, Harare, Zimbabwe.
   [Mapfumo, P.] Univ Zimbabwe, Soil Fertil Consortium Southern Africa SOFECSA, Harare, Zimbabwe.
   [van Wijk, M. T.; Rufino, M. C.] ILRI, Nairobi 00100, Kenya.
   [Rufino, M. C.] Ctr Int Forestry Res CIFOR, Nairobi 00100, Kenya.
C3 Wageningen University & Research; University of Zimbabwe; University of
   Zimbabwe; CGIAR; International Livestock Research Institute (ILRI);
   CGIAR; Center for International Forestry Research (CIFOR)
RP Rurinda, J (corresponding author), Wageningen Univ, POB 430, NL-6700 AK Wageningen, Netherlands.
EM jairurinda@yahoo.co.uk
RI Mtambanengwe, Florence/AAX-4571-2021; Giller, Ken/K-2799-2012; Rufino,
   Mariana/D-8380-2013
OI van Wijk, Mark/0000-0003-0728-8839; Giller, Ken/0000-0002-5998-4652;
   Rufino, Mariana/0000-0003-4293-3290
FU International Development Research Centre (IDRC); Department for
   International Development (DFID) through the Climate Change Adaptation
   in Africa (CCAA) [104140]; University of Zimbabwe Research Board
FX We thank the International Development Research Centre (IDRC) and
   Department for International Development (DFID) for funding through the
   Climate Change Adaptation in Africa (CCAA) Grant #104140 to University
   of Zimbabwe. Additional funding from the University of Zimbabwe Research
   Board is gratefully acknowledged. We thank two anonymous reviewers for
   their valuable comments. We are grateful to Even-Jan Bakker for his
   advice on the statistical analysis. We also thank the SOFECSA team of
   Hatirarami Nezomba, Grace Kanonge, Grace Manzeke, Tongai Mtangadura,
   Chistopher Chagumaira, Tonny Tauro, Tariro Gwandu and Tinashe Mashavave
   for their shared ideas and assistance in the field.
CR Alumira J., 2005, eJADE - Electronic Journal of Agricultural and Development Economics, V2, P50
   Anderson J.M., 1993, TROPICAL SOIL BIOL F
   [Anonymous], 2010, MILL DEV GOALS REP
   [Anonymous], 1988, From agronomic data to farmer recommendations: An economics training manual
   Bänziger M, 2006, AGR WATER MANAGE, V80, P212, DOI 10.1016/j.agwat.2005.07.014
   Byth D.E., 1993, Sorghum and Millets Commodity and Research Environments
   CARTER SE, 1995, AMBIO, V24, P77
   Chidhuza C., 1993, THESIS U ZIMBABWE, P310
   Chipanshi AC, 2003, CLIMATIC CHANGE, V61, P339, DOI 10.1023/B:CLIM.0000004551.55871.eb
   Chuma E., 2001, SADC ICROSAT SORGH M
   Crespo O, 2011, CLIMATIC CHANGE, V106, P267, DOI 10.1007/s10584-010-9924-4
   Dogget H., 1988, SORGHUM, V2nd
   Dorward A, 2013, FOOD POLICY, V39, P40, DOI 10.1016/j.foodpol.2012.12.003
   EASTERLING WE, 1992, AGR FOREST METEOROL, V59, P75, DOI 10.1016/0168-1923(92)90087-K
   EICHER CK, 1995, WORLD DEV, V23, P805, DOI 10.1016/0305-750X(95)93983-R
   Fageria NK, 2008, COMMUN SOIL SCI PLAN, V39, P2258, DOI 10.1080/00103620802289141
   Fischer G, 2005, PHILOS T R SOC B, V360, P2067, DOI 10.1098/rstb.2005.1744
   Frere M., 1984, Agrometeorology of sorghum and millet in the semi-arid tropics. Proceedings of the international symposium, ICRISAT Center, Patancheru, India, 15-20 November 1982., P33
   Gomez K. A., 1984, Statistical procedures for agricultural research
   Hulse J.H., 1980, SORGHUM MILLETS THEI
   Hussein J., 1987, Cropping in the semiarid areas of Zimbabwe. Proceedings of a workshop held in Harare, 24-28 August, 1987. Vol 1., P25
   Kamanula J, 2011, INT J PEST MANAGE, V57, P41, DOI 10.1080/09670874.2010.522264
   Kijne J. W., 2003, Water productivity in agriculture: limits and opportunities for improvement, DOI 10.1079/9780851996691.0000
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   MacGarry B., 1990, Journal of Social Development in Africa, V5, P73
   Makadho JM, 1996, CLIMATE RES, V6, P147, DOI 10.3354/cr006147
   Makurira H, 2011, AGR WATER MANAGE, V98, P1696, DOI 10.1016/j.agwat.2011.05.003
   Mangombe N, 1996, DROUGHT-TOLERANT CROPS FOR SOUTHERN AFRICA, P81
   Mapfumo P., 2001, International Crops Research institute for semi Arid tropics (ICRISAT), P53
   Mapfumo P., 2009, A SOFECSA technical annual report for the sub-Saharan Challenges Program (SSA-CP) prepared for the Forum for Agricultural Research in Africa (FARA) Soil Fertility Consortium for Southern Africa (SOFECSA)
   Milgroom J, 2013, AGR SYST, V118, P91, DOI 10.1016/j.agsy.2013.03.002
   MNYENYEMBE PH, 1994, ADVANCES IN SMALL MILLETS, P29
   Mtambanengwe F, 2005, NUTR CYCL AGROECOSYS, V73, P227, DOI 10.1007/s10705-005-2652-x
   MUCHOW RC, 1989, FIELD CROP RES, V20, P207, DOI 10.1016/0378-4290(89)90080-4
   Murungweni C., 2011, THESIS WAGENINGEN U, P141
   Murwira H.K., 2002, INTEGRATED PLANT NUT, P352
   MURWIRA HK, 1993, COMMUN SOIL SCI PLAN, V24, P2343, DOI 10.1080/00103629309368960
   Nyagumbo I, 2012, PHYS CHEM EARTH, V47-48, P21, DOI 10.1016/j.pce.2011.07.001
   NYAMAPFENE KW, 1989, J S AFR STUD, V15, P384, DOI 10.1080/03057078908708206
   PEARSON CJ, 1985, FIELD CROP RES, V11, P113, DOI 10.1016/0378-4290(85)90095-4
   Rockström J, 2004, WATER SCI TECHNOL, V49, P151, DOI 10.2166/wst.2004.0442
   Rurinda J, 2013, FIELD CROP RES, V154, P211, DOI 10.1016/j.fcr.2013.08.012
   Shongwe ME, 2009, J CLIMATE, V22, P3819, DOI 10.1175/2009JCLI2317.1
   SHUMBA EM, 1992, EXP AGR, V28, P443, DOI 10.1017/S0014479700020159
   Sivakumar MVK, 2005, CLIMATIC CHANGE, V70, P31, DOI 10.1007/s10584-005-5937-9
   Smaling E. M. A., 1997, Replenishing soil fertility in Africa. Proceedings of an international symposium, Indianapolis, USA, 6 November 1996., P47
   Stocker, 2014, CLIMATE CHANGE 2013
   Tardien, 2006, DROUGHT ADAPTATION C
   Traore B, 2013, EUR J AGRON, V49, P115, DOI 10.1016/j.eja.2013.04.004
   Unganai LS, 1996, CLIMATE RES, V6, P137, DOI 10.3354/cr006137
   VANSTAVEREN JP, 1985, FIELD CROP RES, V11, P13, DOI 10.1016/0378-4290(85)90089-9
   Waddington SR, 2007, EXP AGR, V43, P489, DOI 10.1017/S0014479707005303
   Waddington S.R., 1991, AGRONOMIC MONITORING, P32
   Waha K, 2013, GLOBAL PLANET CHANGE, V106, P1, DOI 10.1016/j.gloplacha.2013.02.009
   Zingore S, 2011, NUTR CYCL AGROECOSYS, V90, P87, DOI 10.1007/s10705-010-9414-0
   Zvauya R, 1997, PLANT FOOD HUM NUTR, V51, P43, DOI 10.1023/A:1007972428849
NR 58
TC 44
Z9 50
U1 1
U2 97
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 APR
PY 2014
VL 55
BP 29
EP 41
DI 10.1016/j.eja.2013.12.009
PG 13
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA AE5CX
UT WOS:000334006500004
DA 2025-01-10
ER

PT S
AU Pelorosso, R
   Gobattoni, F
   Leone, A
AF Pelorosso, Raffaele
   Gobattoni, Federica
   Leone, Antonio
BE Papa, R
   Fistola, R
   Gargiulo, C
TI Increasing Hydrological Resilience Employing Nature-Based Solutions: A
   Modelling Approach to Support Spatial Planning
SO SMART PLANNING: SUSTAINABILITY AND MOBILITY IN THE AGE OF CHANGE
SE Green Energy and Technology
LA English
DT Article; Book Chapter
ID ECOSYSTEM SERVICES; DECISION-MAKING; URBAN; GREEN; SYSTEM
AB Despite numerous studies on urban resilience, few practical applications of spatial explicit and quantitative resilience indicators in green infrastructure planning are present in literature. This paper presents a methodological framework to assess the hydrological resilience of an urban context employing modelling approach. The proposed resilience index is then used to support the definition of nature-based and engineered solutions aimed to increase resilience to floods as well as to enhance the green infrastructure multi-functionality in a densely populated district of Bari. The paper aims then to contribute to the introduction of resilience assessment and sustainable storm water management in practice urban planning in a context of climate adaptation plans.
C1 [Pelorosso, Raffaele; Gobattoni, Federica; Leone, Antonio] Univ Tuscia, DAFNE, Viterbo, Italy.
C3 Tuscia University
RP Pelorosso, R (corresponding author), Univ Tuscia, DAFNE, Viterbo, Italy.
EM pelorosso@unitus.it
RI Pelorosso, Raffaele/H-3928-2019
OI LEONE, Antonio/0000-0002-6314-5878; Pelorosso,
   Raffaele/0000-0003-1996-5921
CR Andersson E, 2014, AMBIO, V43, P445, DOI 10.1007/s13280-014-0506-y
   [Anonymous], [No title captured]
   [Anonymous], 2016, LEARN LIV CHANG CLIM
   [Anonymous], FRONTIERS ECOLOGY EV
   Barinedita, 2014, PAN E POM AGL SCAR M
   Berghofer Augustin., 2011, The Economics of Ecosystems and Biodiversity
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Castellari S, 2014, ELEMENTI STRATEGIA N
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107
   EU, 2015, EU RES INN POL AG NA
   Gobattoni F., 2016, NUOVO CICLO PIANIFIC, P101
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Green OO, 2015, URBAN ECOSYSTEMS
   Haase D, 2014, AMBIO, V43, P407, DOI 10.1007/s13280-014-0503-1
   Hermann A., 2011, Living Reviews in Landscape Research, V5, P1
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   ISTAT, 2016, VERD URB
   Joyce J, 2017, ENVIRON MODELL SOFTW, V90, P1, DOI 10.1016/j.envsoft.2016.11.026
   Kabisch N, 2016, ECOLOGICAL INDICATOR
   la PappalardoV RosaD, 2017, ECOSYST SERV, P1
   La Rosa D, 2016, ECOL INDIC, V61, P74, DOI 10.1016/j.ecolind.2015.04.028
   Leone A., 2014, TEMA
   Leone A, 2016, GREEN ENERGY TECHNOL, P83, DOI 10.1007/978-3-319-31157-9_5
   Lundy L, 2011, PROG PHYS GEOG, V35, P653, DOI 10.1177/0309133311422464
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mugume SN, 2015, WATER RES, V81, P15, DOI 10.1016/j.watres.2015.05.030
   Pelorosso R, 2017, LANDSCAPE URBAN PLAN, V168, P22, DOI 10.1016/j.landurbplan.2017.10.002
   Pelorosso R, 2016, ECOL INDIC, V61, P114, DOI 10.1016/j.ecolind.2015.01.016
   Pelorosso R, 2016, SENTIERI URBANI, V19, P75
   Pelorosso R, 2017, ECOSYST SERV, V26, P476, DOI 10.1016/j.ecoser.2017.05.016
   Pelorosso R, 2013, TEMA, V6, P95, DOI 10.6092/1970-9870/1418
   Scott M, 2016, PLAN THEORY PRACT, V17, P267, DOI 10.1080/14649357.2016.1158907
   Walker B, 2004, ECOL SOC, V9
   Wang MM, 2017, J ENVIRON MANAGE, V201, P145, DOI 10.1016/j.jenvman.2017.06.034
NR 36
TC 9
Z9 9
U1 0
U2 17
PU SPRINGER
PI NEW YORK
PA 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
SN 1865-3529
BN 978-3-319-77682-8; 978-3-319-77681-1
J9 GREEN ENERGY TECHNOL
PY 2018
BP 71
EP 82
DI 10.1007/978-3-319-77682-8_5
D2 10.1007/978-3-319-77682-8
PG 12
WC Green & Sustainable Science & Technology; Energy & Fuels; Urban Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Science & Technology - Other Topics; Energy & Fuels; Urban Studies
GA BK9BY
UT WOS:000444332000006
DA 2025-01-10
ER

PT J
AU Yu, LH
   Lin, F
   Xu, L
   Xi, JY
AF Yu, Lihong
   Lin, Feng
   Xu, Lin
   Xi, Jingyu
TI P-doped electrode for vanadium flow battery with high-rate capability
   and all-climate adaptability
SO JOURNAL OF ENERGY CHEMISTRY
LA English
DT Article
DE Vanadium flow battery; Graphite felt; P doping; High-power electrode;
   All-climate
ID BROAD TEMPERATURE ADAPTABILITY; GRAPHITE FELT; PERFORMANCE; VO2+/VO2+;
   EFFICIENT
AB A phosphorous-doped graphite felt (PGF) is fabricated and examined as electrode for vanadium flow battery (VFB). P doping improves the electrolyte wettability of GF and induces more defect sites on its surface, resulting in significantly enhanced activity and reversibility towards VO2+/VO2+ and V2+/V3+ couples. VFB with PGF electrode demonstrates outstanding performance such as high-rate capability under 50-400 mA cm(-2), wide-temperature tolerance at -20 degrees C-60 degrees C, and excellent durability over 1000 charge-discharge cycles. These merits enable PGF a promising electrode for the next-generation VFB, which can operate at high-power and all-climate conditions. (C) 2018 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by Elsevier B.V. and Science Press. All rights reserved.
C1 [Yu, Lihong; Lin, Feng; Xu, Lin] Shenzhen Polytech, Sch Appl Chem & Biol Technol, Shenzhen 518055, Guangdong, Peoples R China.
   [Xi, Jingyu] Tsinghua Univ, Grad Sch Shenzhen, Inst Green Chem & Energy, Shenzhen 518055, Peoples R China.
C3 Shenzhen Polytechnic University; Tsinghua University; Tsinghua Shenzhen
   International Graduate School
RP Yu, LH (corresponding author), Shenzhen Polytech, Sch Appl Chem & Biol Technol, Shenzhen 518055, Guangdong, Peoples R China.; Xi, JY (corresponding author), Tsinghua Univ, Grad Sch Shenzhen, Inst Green Chem & Energy, Shenzhen 518055, Peoples R China.
EM yulihong@szpt.edu.cn; xijy@tsinghua.edu.cn
RI Yu, Lihong/X-2032-2019; , 席靖宇/L-4110-2019
FU National Natural Science Foundation of China [21576154]; Shenzhen Basic
   Research Project [JCYJ20170818115018000, JCYJ20170307154206288,
   JCYJ20170412170756603]
FX This work was supported by the National Natural Science Foundation of
   China (No. 21576154) and the Shenzhen Basic Research Project (Nos.
   JCYJ20170818115018000, JCYJ20170307154206288, JCYJ20170412170756603).
CR Bi HC, 2013, ADV MATER, V25, P5916, DOI 10.1002/adma.201302435
   Castañeda LF, 2017, ELECTROCHIM ACTA, V258, P1115, DOI 10.1016/j.electacta.2017.11.165
   Cunha A, 2015, INT J ENERG RES, V39, P889, DOI 10.1002/er.3260
   Dai WJ, 2014, J MATER CHEM A, V2, P12423, DOI 10.1039/c4ta02124j
   Deng Q, 2017, ADV ENERGY MATER, V7, DOI 10.1002/aenm.201700461
   Goulet MA, 2016, CARBON, V101, P390, DOI 10.1016/j.carbon.2016.02.011
   He ZX, 2018, ELECTROCHIM ACTA, V281, P601, DOI 10.1016/j.electacta.2018.06.011
   Huang P, 2018, J MATER CHEM A, V6, P41, DOI 10.1039/c7ta07358e
   Inagaki M, 2018, CARBON, V132, P104, DOI 10.1016/j.carbon.2018.02.024
   Jiang B, 2016, J MEMBRANE SCI, V510, P18, DOI 10.1016/j.memsci.2016.03.007
   Jiang HR, 2018, J MATER CHEM A, V6, P13244, DOI 10.1039/c8ta03388a
   Kim KJ, 2016, CHEMSUSCHEM, V9, P1329, DOI 10.1002/cssc.201600106
   Kim KJ, 2015, J MATER CHEM A, V3, P16913, DOI 10.1039/c5ta02613j
   Li B, 2014, NANO LETT, V14, P158, DOI 10.1021/nl403674a
   Li WY, 2011, CARBON, V49, P3463, DOI 10.1016/j.carbon.2011.04.045
   Liu T, 2018, J ENERGY CHEM, V27, P1292, DOI 10.1016/j.jechem.2018.07.003
   Liu YC, 2018, J ENERGY CHEM, V27, P1333, DOI 10.1016/j.jechem.2018.01.028
   Liu YC, 2018, NANO ENERGY, V43, P55, DOI 10.1016/j.nanoen.2017.11.012
   Lu WJ, 2018, PHYS CHEM CHEM PHYS, V20, P23, DOI 10.1039/c7cp07456e
   Ma Q, 2018, SCI CHINA CHEM, V61, P732, DOI 10.1007/s11426-017-9235-6
   Paraknowitsch JP, 2013, ENERG ENVIRON SCI, V6, P2839, DOI 10.1039/c3ee41444b
   Park M, 2017, NAT REV MATER, V2, DOI 10.1038/natrevmats.2016.80
   Park M, 2016, NANO ENERGY, V26, P233, DOI 10.1016/j.nanoen.2016.05.027
   Park S, 2015, J MATER CHEM A, V3, P12276, DOI 10.1039/c5ta02674a
   SUN B, 1992, ELECTROCHIM ACTA, V37, P2459, DOI 10.1016/0013-4686(92)87084-D
   SUN B, 1992, ELECTROCHIM ACTA, V37, P1253, DOI 10.1016/0013-4686(92)85064-R
   Ulaganathan M, 2016, ADV MATER INTERFACES, V3, DOI 10.1002/admi.201500309
   Wang K, 2018, ELECTROCHIM ACTA, V259, P11, DOI 10.1016/j.electacta.2017.10.148
   Wu LT, 2016, NANO ENERGY, V28, P19, DOI 10.1016/j.nanoen.2016.08.025
   Xi JY, 2017, J MEMBRANE SCI, V522, P45, DOI 10.1016/j.memsci.2016.09.012
   Xi JY, 2016, ELECTROCHIM ACTA, V191, P695, DOI 10.1016/j.electacta.2016.01.165
   Xiao SB, 2016, ELECTROCHIM ACTA, V187, P525, DOI 10.1016/j.electacta.2015.11.062
   Zhang WG, 2013, ELECTROCHIM ACTA, V89, P429, DOI 10.1016/j.electacta.2012.11.072
   Zhou HP, 2016, ACS APPL MATER INTER, V8, P15369, DOI 10.1021/acsami.6b03761
   Zhou Y, 2017, CHEM COMMUN, V53, P7565, DOI 10.1039/c7cc00691h
NR 35
TC 42
Z9 43
U1 6
U2 75
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2095-4956
J9 J ENERGY CHEM
JI J. Energy Chem.
PD AUG
PY 2019
VL 35
BP 55
EP 59
DI 10.1016/j.jechem.2018.11.004
PG 5
WC Chemistry, Applied; Chemistry, Physical; Energy & Fuels; Engineering,
   Chemical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Energy & Fuels; Engineering
GA IF6WF
UT WOS:000473220100009
DA 2025-01-10
ER

PT J
AU Kim, DH
   Ahn, BI
   Kim, EG
AF Kim, Dong-Hyeon
   Ahn, Byeong-Il
   Kim, Eui-Gyeong
TI Metropolitan Residents' Preferences and Willingness to Pay for a Life
   Zone Forest for Mitigating Heat Island Effects during Summer Season in
   Korea
SO SUSTAINABILITY
LA English
DT Article
DE heat island; choice experiment; urban forests; non-market goods;
   willingness to pay
ID NUMERICAL-SIMULATION; PUBLIC PREFERENCES; CLIMATE ADAPTATION;
   ENERGY-CONSUMPTION; GREEN ROOF; URBAN; BIODIVERSITY; COUNTERMEASURES;
   IMPACTS; VALUES
AB Coupled with green house effects, the urban heat island is occurring more frequently, and thus is becoming a serious social problem. In order to elicit policy implications, the current study assesses the economic values on the heat island-mitigating functions of urban forest through choice experiments. The analytical results suggest that metropolitan city residents' utility can be increased by raising the size of life zone forests which is comprised of street trees, parks in residential regions, and small forests in school zones. The derived marginal willingness to pay for the life zone forests suggest that the respondents are willing to pay $56.68-76.59 for every increase of the urban forest by 1 m(2).
C1 [Kim, Dong-Hyeon] Gyeongsang Natl Univ, Inst Agr & Life Sci, Jinju 52828, South Korea.
   [Ahn, Byeong-Il] Korea Univ, Dept Food & Resource Econ, Seoul 02841, South Korea.
   [Kim, Eui-Gyeong] Gyeongsang Natl Univ, Inst Agr & Life Sci, Dept Forest Environm Resources, Jinju 52828, South Korea.
C3 Gyeongsang National University; Korea University; Gyeongsang National
   University
RP Ahn, BI (corresponding author), Korea Univ, Dept Food & Resource Econ, Seoul 02841, South Korea.
EM kimdh3165@gmail.com; ahn08@korea.ac.kr; egkim@gnu.kr
OI Ahn, Byeong-il/0000-0002-3504-2898
FU National Research Foundation of Korea - Korean Government
   [NRF-2014S1A3A2044459]
FX This work was partially supported by the National Research Foundation of
   Korea Grant funded by the Korean Government [NRF-2014S1A3A2044459].
CR Adams DC, 2011, FOREST POLICY ECON, V13, P465, DOI 10.1016/j.forpol.2011.04.003
   Agrawal A., ROLE LOCAL I ADAPTAT
   [Anonymous], 2007, VALUING ENV AMENITIE
   Arnberger Arne, 2005, Urban Forestry & Urban Greening, V3, P125, DOI 10.1016/j.ufug.2005.04.002
   Ashie Y, 1999, J WIND ENG IND AEROD, V81, P237, DOI 10.1016/S0167-6105(99)00020-3
   Biénabe E, 2006, FOREST POLICY ECON, V9, P335, DOI 10.1016/j.forpol.2005.10.002
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Boxall P. C., 2003, Journal of Forest Economics, V9, P75, DOI 10.1078/1104-6899-00027
   Ca VT, 1998, ENERG BUILDINGS, V29, P83, DOI 10.1016/S0378-7788(98)00032-2
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   Christie M, 2007, J FOREST ECON, V13, P75, DOI 10.1016/j.jfe.2007.02.005
   Coffee JE, 2010, J GREAT LAKES RES, V36, P115, DOI 10.1016/j.jglr.2009.11.011
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Gao ZF, 2009, AM J AGR ECON, V91, P795, DOI 10.1111/j.1467-8276.2009.01259.x
   Han YL, 2015, ENERG BUILDINGS, V102, P380, DOI 10.1016/j.enbuild.2015.05.040
   Hoyos D, 2010, ECOL ECON, V69, P1595, DOI 10.1016/j.ecolecon.2010.04.011
   Ihara T, 2008, APPL ENERG, V85, P12, DOI 10.1016/j.apenergy.2007.06.012
   Kikegawa Y, 2006, APPL ENERG, V83, P649, DOI 10.1016/j.apenergy.2005.06.001
   Kikegawa Y, 2003, APPL ENERG, V76, P449, DOI 10.1016/S0306-2619(03)00009-6
   Korea Forest Service, STAT URB FOR LIF ZON
   Kuttler W., 2008, URBAN ECOLOGY AN INT, P233, DOI 10.1007/978-0-387-73412-5_13
   Li D, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/5/055002
   Meyerhoff J, 2009, J FOREST ECON, V15, P37, DOI 10.1016/j.jfe.2008.03.003
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Olschewski R, 2012, FOREST POLICY ECON, V15, P108, DOI [10.1016/j.forpol.2011.10.002, 10.1016/j.forpol.2012.02.016]
   Onishi A, 2010, URBAN FOR URBAN GREE, V9, P323, DOI 10.1016/j.ufug.2010.06.002
   Orme B., SAMPLE SIZE ISSUES C
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Riera P, 2012, J FOREST ECON, V18, P345, DOI 10.1016/j.jfe.2012.07.004
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Rosenberger RS, 2012, J FOREST ECON, V18, P271, DOI 10.1016/j.jfe.2012.06.003
   Rosenfeld AH, 1998, ENERG BUILDINGS, V28, P51, DOI 10.1016/S0378-7788(97)00063-7
   Rosenzweig C., 2006, GREEN ROOFS NEW YORK
   Rossi FJ, 2011, FOREST POLICY ECON, V13, P234, DOI 10.1016/j.forpol.2011.01.001
   Sharma A, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/6/064004
   Smith KR, 2011, J APPL METEOROL CLIM, V50, P507, DOI 10.1175/2010JAMC2337.1
   Sproul J, 2014, ENERG BUILDINGS, V71, P20, DOI 10.1016/j.enbuild.2013.11.058
   Taha H, 1999, THEOR APPL CLIMATOL, V62, P175, DOI 10.1007/s007040050082
   Takebayashi H, 2007, BUILD ENVIRON, V42, P2971, DOI 10.1016/j.buildenv.2006.06.017
   Thiene M, 2012, J FOREST ECON, V18, P355, DOI 10.1016/j.jfe.2012.06.005
   Tong H, 2005, ATMOS ENVIRON, V39, P3549, DOI 10.1016/j.atmosenv.2005.02.045
   Upton V, 2012, FOREST POLICY ECON, V23, P17, DOI 10.1016/j.forpol.2012.06.006
   Urano A, 1999, J WIND ENG IND AEROD, V81, P197, DOI 10.1016/S0167-6105(99)00017-3
   Vecchiato D, 2013, FOREST POLICY ECON, V26, P111, DOI 10.1016/j.forpol.2012.10.001
   Xu WH, 2003, FOREST SCI, V49, P247
   Yamamota Y., MEASURES MITIGATE UR
   Zandersen M, 2007, J FOREST ECON, V13, P103, DOI 10.1016/j.jfe.2007.02.003
NR 47
TC 14
Z9 15
U1 1
U2 28
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2016
VL 8
IS 11
AR 1155
DI 10.3390/su8111155
PG 15
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 EE1BS
UT WOS:000389316200075
OA gold
DA 2025-01-10
ER

PT J
AU Tangney, P
   Howes, M
AF Tangney, Peter
   Howes, Michael
TI The politics of evidence-based policy: A comparative analysis of climate
   adaptation in Australia and the UK
SO ENVIRONMENT AND PLANNING C-GOVERNMENT AND POLICY
LA English
DT Article
DE Evidence-based policy; climate; adaptation; politics
ID DECISION-MAKING; PUBLIC-POLICY; SCIENCE; UNCERTAINTY; KNOWLEDGE; FUTURE
AB This paper presents a comparative analysis of the use of climate science for adaptation policy in Queensland, Australia and the UK. We examine policy players' perceptions of climate science alongside prevailing political influences on evidence-based policy making. In Queensland, the evidence-based mandate has been weakened by partisan politics so that the political acceptability of evidence is a foremost concern for policy makers. In the UK, the evidence-based mandate is enshrined in the Climate Change Act (2008), yet here too political forces have sought to limit the acceptable use of climate science for policy making. Both cases reveal normative and political tensions in the interpretation and use of climate science, suggesting that important political challenges must be overcome by the scientific community to ensure the ongoing utility of climate science for policy making.
C1 [Tangney, Peter] Griffith Univ, Griffith Sch Environm, 170 Kessels Rd, Brisbane, Qld 4111, Australia.
   Griffith Univ, Urban Res Program, Brisbane, Qld, Australia.
C3 Griffith University; Griffith University
RP Tangney, P (corresponding author), Griffith Univ, Griffith Sch Environm, 170 Kessels Rd, Brisbane, Qld 4111, Australia.
EM pntangney@gmail.com
RI Howes, Michael/S-2804-2019; /CAE-0280-2022; Tangney, Peter/O-2153-2015
OI Tangney, Peter/0000-0003-3878-4034; Howes, Michael/0000-0003-1102-1483
FU Australian Government International Postgraduate Research Scholarship;
   Griffith University's School of Environment
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: Peter
   Tangney was funded by an Australian Government International
   Postgraduate Research Scholarship and by Griffith University's School of
   Environment during the research and authorship of this article.
CR Anderson K, 2008, ENERG POLICY, V36, P3714, DOI 10.1016/j.enpol.2008.07.003
   [Anonymous], ENV POLICY FAILURE A
   [Anonymous], NAT CLIM POL KYOT PR
   [Anonymous], STRENGTH EV BAS POL
   [Anonymous], BRISBANE TIMES
   [Anonymous], 2014, Sydney Morning HeraldSeptember 21
   [Anonymous], NEW EC
   [Anonymous], 2012, Queensland Floods Commission of Inquiry: Final Report
   [Anonymous], NAT EM RISK ASS GUID
   [Anonymous], 2000, CLIMATE CHANGE ASSES
   [Anonymous], 2013, NAT AD PROGR MAK COU
   [Anonymous], 2012, UK Climate Change Risk Assessment: Government Report
   Australian Government, 2014, UND CLIM CHANG
   Bell S., 2006, SCI PUBL POLICY, V33, P561, DOI [10.3152/147154306781778687, DOI 10.3152/147154306781778687]
   Benedick RE, 2001, ISSUES SCI TECHNOL, V18, P71
   Carrington D., 2014, The Guardian
   Cash D., 2002, SALIENCE CREDIBILITY, P1, DOI 10.2139/ssrn.372280
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Christoff P, 2008, U NSW LAW J, V31, P861
   CSIRO, 2013, OZCLIM
   Curran G, 2011, ENVIRON PLANN C, V29, P1004, DOI 10.1068/c10217
   Curry Judith, 2013, AUSTRALIAN
   Davoudi S, 2006, ENVIRON PLANN C, V24, P681, DOI 10.1068/c0609j
   DEFRA, 2014, ADAPTING CLIMATE CHA
   DEFRA-Department for Environment Food and Rural Affairs, 2010, NAT IND 188 AD CLIM
   Department of Business Innovation and Skills, 2011, IMP ASS TEMPL GOV PO
   Devine M, 2002, THE SUN HERALD  1013
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Dovers S., 2000, ENV HIST POLICY STIL
   Driedger SM, 2003, ENVIRON PLANN C, V21, P429, DOI 10.1068/c007r
   Environment Agency [EA], 2010, MAN ENV CHANG CLIM
   Frigg R, 2013, 121 GRANTH RES I CLI
   Frigg R, 2013, PHILOS SCI, V80, P886, DOI 10.1086/673892
   GARNER Robert., 2000, ENV POLITICS BRITAIN, V2nd
   Granger K.e., 2001, Natural Hazards the Risks they pose to South-East Queensland
   Gray TS, 1997, INT HDB ENV SOCIOLOG, P287
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Hajer M.A., 1996, The politics of environmental discourse
   Head BW, 2008, AUST J PUBL ADMIN, V67, P1, DOI 10.1111/j.1467-8500.2007.00564.x
   Head BW, 2014, ENVIRON PLANN C, V32, P663, DOI 10.1068/c1240
   Heazle M, 2013, ENVIRON SCI POLICY, V33, P162, DOI 10.1016/j.envsci.2013.05.009
   Hennessy K, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P507
   Howes M., 2005, Politics and the environment: risk and the role of government and industry
   HOWES M, 2012, ENV POLICY FAILURE A, P116
   Howes M, 2015, J ENVIRON PLANN MAN, V58, P757, DOI 10.1080/09640568.2014.891974
   Hulme M, 2008, ENVIRON SCI POLICY, V11, P54, DOI 10.1016/j.envsci.2007.09.003
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Johnston W.R, 1988, DOCUMENTARY HIST QUE
   Kahan DM, 2012, NAT CLIM CHANGE, V2, P732, DOI 10.1038/NCLIMATE1547
   Keskitalo ECH, 2010, DEVELOPING ADAPTATION POLICY AND PRACTICE IN EUROPE: MULTI-LEVEL GOVERNANCE OF CLIMATE CHANGE, P1, DOI 10.1007/978-90-481-9325-7
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Macgregor N, 2010, ASSESSING RESPONDING
   Maher S., 2011, AUSTRALIAN
   McCormick John., 2002, Environmental Politics and Policy in Industrialized Countries, P121
   McDonald J., 2010, CLIMATE CHANGE ADAPT
   McLean I, 2008, POLIT QUART, V79, P184, DOI 10.1111/j.1467-923X.2008.00916.x
   Mercer D, 2007, FUTURES, V39, P272, DOI 10.1016/j.futures.2006.01.009
   Moore C, 2013, DAILY TELEGRAPH
   Moore T, 2013, BRISBANE TIMES
   Moss RH, 2013, SCIENCE, V342, P696, DOI 10.1126/science.1239569
   Nilsson M, 2008, POLICY SCI, V41, P335, DOI 10.1007/s11077-008-9071-1
   Norman B, 2012, CONVERSATION
   Oberthur S., 1999, The Kyoto Protocol: International Climate Policy for the 21st Century
   Pielke RA, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/2/024010
   Porritt J, 1989, RSA J, V137, P488
   Preston B.L., 2013, Successful Adaptation to Climate Change: Linking Science and Policy in a Rapidly Changing World, P151
   QFCI, 2011, QUEENSL FLOODS COMM
   Queensland Reconstruction Authority, 2011, REB STRONG MOR RES Q
   Readfearn Graham., 2014, The Guardian
   RICHARDS David., 2002, GOVERNANCE PUBLIC PO
   Rickards L, 2014, ENVIRON PLANN C, V32, P641, DOI 10.1068/c12106
   Sarewitz D, 2004, ENVIRON SCI POLICY, V7, P385, DOI 10.1016/j.envsci.2004.06.001
   Sheail J., 2002, ENV HIST 20 CENTURY
   Solesbury W, 2001, 1 ESCRC U LOND UK CT
   Tang S, 2012, WEATHER CLIM SOC, V4, P300, DOI 10.1175/WCAS-D-12-00028.1
   Taylor-Gooby P, 2012, SOC POLICY ADMIN, V46, P61, DOI 10.1111/j.1467-9515.2011.00797.x
   Tomaney J, 2013, ENVIRON PLANN C, V31, P414, DOI 10.1068/c11249r
   Walker K.J., 2012, ENV POLICY FAILURE A
   Walker K.J., 2002, ENV POLITICS POLICY
   Wanna J, 2003, PUBLIC ADMIN, V81, P63, DOI 10.1111/1467-9299.00337
   Weichselgartner J, 2010, GLOBAL ENVIRON CHANG, V20, P266, DOI 10.1016/j.gloenvcha.2009.11.006
   Weingart P., 1999, Science and Public Policy, V26, P151, DOI DOI 10.3152/147154399781782437
   Weiss CH, 1998, AM J EVAL, V19, P21, DOI 10.1177/109821409801900103
   Weston P, 2014, GOLD COAST B    0811
NR 84
TC 20
Z9 20
U1 3
U2 19
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0263-774X
EI 1472-3425
J9 ENVIRON PLANN C
JI Environ. Plan. C-Gov. Policy
PD SEP
PY 2016
VL 34
IS 6
BP 1115
EP 1134
DI 10.1177/0263774X15602023
PG 20
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA DV8UV
UT WOS:000383213100006
DA 2025-01-10
ER

PT C
AU Christen, D
   Devènes, G
   Kellerhals, M
AF Christen, D.
   Devenes, G.
   Kellerhals, M.
BE Xiloyannis, C
TI Recent Apricot Breeding Programme in Switzerland
SO XIV INTERNATIONAL SYMPOSIUM ON APRICOT BREEDING AND CULTURE
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT 14th International Symposium on Apricot Breeding and Culture
CY JUN 16-20, 2008
CL Matera, ITALY
SP Int Soc Hort Sci (ISHS)
DE Prunus armeniaca; breeding; fruit quality; local adaptation
AB Fifteen years ago, apricot orchards in Switzerland were almost exclusively planted with the cultivar Luizet. Despite its excellent internal quality, Luizet is characterized by a rapid post-harvest evolution that no longer corresponds to the actual commercial quality requirements. Therefore, 60% of the Swiss orchard was renewed, mainly with international cultivars. However, some cultivars exhibit low ecological and climatic adaptation that leads to technical, sanitary and production concerns. Therefore, a breeding programme using Luizet as parent (well-adapted in Central Valais) has been started in 2001. The main objectives of the programme are the improvement of commercial quality (especially shelf-life), the enlargement of the harvest period (especially late ripening cultivars) and, more recently, the resistance to the major apricot diseases. Five promising cultivars were selected and their agronomic and fruit quality characteristics were evaluated. The production and commercial potentiality of these selections is discussed.
C1 [Christen, D.; Devenes, G.; Kellerhals, M.] Res Ctr Conthey, Fruit Growing & Breeding Grp, Agroscope Changins Wadenswil Res Stn ACW, CH-1964 Conthey, Switzerland.
C3 Swiss Federal Research Station Agroscope
RP Christen, D (corresponding author), Res Ctr Conthey, Fruit Growing & Breeding Grp, Agroscope Changins Wadenswil Res Stn ACW, CH-1964 Conthey, Switzerland.
OI CHRISTEN, Danilo/0000-0002-6113-549X
CR Lichou J., 2003, RECONNAITRE VARIETES
   Lurol S., 2007, PECHE ABRICOT RECOLT
   Mehlenbacher S., 1991, ACTA HORTIC, V290, P65
   Monney P., 2000, Revue Suisse de Viticulture, d'Arboriculture et d'Horticulture, V32, P219
   Rossier J., 2007, P JOURN SUISS ABR VA
   Scandella D., 1998, INFO CTIFL, V141, P22
NR 6
TC 0
Z9 0
U1 0
U2 1
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
BN 978-90-66053-56-4
J9 ACTA HORTIC
PY 2010
VL 862
BP 123
EP 127
DI 10.17660/ActaHortic.2010.862.19
PG 5
WC Agronomy; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture
GA BDI97
UT WOS:000313516500019
DA 2025-01-10
ER

PT J
AU Hochman, Z
   Horan, H
   Reddy, DR
   Sreenivas, G
   Tallapragada, C
   Adusumilli, R
   Gaydon, DS
   Laing, A
   Kokic, P
   Singh, KK
   Roth, CH
AF Hochman, Zvi
   Horan, Heidi
   Reddy, D. Raji
   Sreenivas, G.
   Tallapragada, Chiranjeevi
   Adusumilli, Ravindra
   Gaydon, Donald S.
   Laing, Alison
   Kokic, Philip
   Singh, Kamalesh K.
   Roth, Christian H.
TI Smallholder farmers managing climate risk in India: 2. Is it
   climate-smart?
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Climate change; Simulation; APSIM; Rice; Maize; Cotton
ID AGRICULTURAL SYSTEMS; SIMULATING IMPACTS; RICE YIELDS; MODEL; EMISSIONS;
   CROPS; APSIM; ADAPTATION; TRENDS; SOILS
AB Research about adaptation of crops to climate change at a regional scale is based on simplifying assumptions about current and future weather and about farmer management practices. Additionally, the impacts of adaptations are usually measured only in production terms and the feasibility of implementing proposed adaptations is rarely tested. In this study into adaptations of rice based cropping systems to future climate scenarios in Telangana, India, all adaptations were generated through participatory engagement, and were field-tested with local smallholder households in three villages as well as by cropping system simulation analysis. Adaptation options were first evaluated for historical climate variability, with outcomes assessed in terms of production, profitability and environmental consequences before they were evaluated as climate-smart adaptations to medium term climate change. In an earlier study, participatory intervention at household level was used to identify and evaluate new practices. These adaptations to climate variability were then tested with the cropping systems simulator APSIM on local historical weather data. Here We test the applicability of these adaptations to likely climate scenarios in 2021-2040 by using and statistically downscaling two contrasting global circulation models to generate contrasting climate change scenarios for each location. Adaptations were simulated with these future climate data sets and evaluated in terms of their gross margin, yield, yield stability, gross margin stability, global warming potential, greenhouse gas emissions intensity and, where irrigation treatments were varied, net water use, irrigation water productivity, contribution to the recharge of aquifers and nitrogen leached from the root zone. Compared with variability in historic yields the Simulated yield changes in 2021-2040 climate scenarios were modest and their direction was dependent on the global circulation model used. Sustainability polygons were used to compare historic and future climate scenarios. These polygons clearly showed that adaptation options mostly resulted in trade-offs between productivity and environmental Outcomes and between competing environmental outcomes. Results that were simulated for historic weather were strongly reflected in the two future weather scenarios, leading to the conclusion that participatory action research with smallholder farmers, coupled with field testing and simulation analysis can produce practical, sustainable and productive adaptations to climate variability that are also climate smart in that they are robust for future climate scenarios to 2021-2040. We propose that sustainability polygons may be a useful quantitative tool for analysis of the degree to which adaptations may be regarded as climate smart. Crown Copyright (C) 2016 Published by Elsevier Ltd. All rights reserved.
C1 [Hochman, Zvi; Horan, Heidi; Gaydon, Donald S.] CSIRO Agr & Food, Queensland Biosci Precinct, 306 Carmody Rd, St Lucia, Qld 4076, Australia.
   [Reddy, D. Raji; Sreenivas, G.] PJTS Agr Univ, Hyderabad, Andhra Pradesh, India.
   [Tallapragada, Chiranjeevi] Livelihoods & Nat Resource Management Inst, Hyderabad, Telangana, India.
   [Adusumilli, Ravindra] Watershed Support Serv & Act Network, 12-13-452,St 1, Secunderabad 500017, Telangana, India.
   [Laing, Alison; Roth, Christian H.] CSIRO Land & Water, EcoSci Precinct, 41 Boggo Rd,Dutton Pk, Brisbane, Qld 4102, Australia.
   [Kokic, Philip] CSIRO, Digital Prod, GPO Box 664, Acton, ACT 2601, Australia.
   [Singh, Kamalesh K.] Indian Meteorol Dept, Lodi Rd, New Delhi 110003, India.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Ministry of Earth Sciences (MoES) - India; India Meteorological
   Department (IMD)
RP Hochman, Z (corresponding author), CSIRO Agr & Food, Queensland Biosci Precinct, 306 Carmody Rd, St Lucia, Qld 4076, Australia.
EM zvi.hochman@csiro.au
RI Gaydon, Donald/F-4608-2012; Hochman, Zvi/E-8993-2010; Roth,
   Christian/F-8184-2010; Laing, Alison/F-4381-2014
OI Hochman, Zvi/0000-0002-6217-5231; Laing, Alison/0000-0001-8984-7029;
   Gaydon, Donald/0000-0002-0078-4154
FU Australian Centre of International Agricultural Research (ACIAR)
   [LWR-2008-019]
FX We gratefully acknowledge the financial support of the Australian Centre
   of International Agricultural Research (ACIAR) (LWR-2008-019).
CR Aggarwal PK, 2008, INDIAN J AGR SCI, V78, P911
   Aggarwal PK, 2002, CLIMATIC CHANGE, V52, P331, DOI 10.1023/A:1013714506779
   Angulo C, 2013, EUR J AGRON, V49, P104, DOI 10.1016/j.eja.2013.04.003
   [Anonymous], 2016, 138 CCAFS
   [Anonymous], 2013, ENVIRON RES LETT, DOI DOI 10.1088/1748-9326/8/3/034002
   [Anonymous], 2007, AR4 IPCC, V14, P212
   [Anonymous], 2012, ASIAN J ENV DISASTER, DOI DOI 10.3850/S1793924012100055
   [Anonymous], MAUSAM
   Auffhammer M, 2006, P NATL ACAD SCI USA, V103, P19668, DOI 10.1073/pnas.0609584104
   Barnwal P, 2013, ECOL ECON, V87, P95, DOI 10.1016/j.ecolecon.2012.11.024
   Beddington J., 2012, ACHIEVING FOOD SECUR
   Bouman BAM, 2006, AGR SYST, V87, P249, DOI 10.1016/j.agsy.2004.09.011
   Campbell BM, 2014, CURR OPIN ENV SUST, V8, P39, DOI 10.1016/j.cosust.2014.07.002
   CARBERRY PS, 1991, CLIMATIC RISK IN CROP PRODUCTION : MODELS AND MANAGEMENT FOR THE SEMIARID TROPICS AND SUBTROPICS, P157
   Challinor AJ, 2009, J EXP BOT, V60, P2775, DOI 10.1093/jxb/erp062
   Chaturvedi RK, 2012, CURR SCI INDIA, V103, P791
   Cline WilliamR., 2007, Global Warming and Agriculture: Impact Estimates by Country
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Del Grosso SJ, 2000, GLOBAL BIOGEOCHEM CY, V14, P1045, DOI 10.1029/1999GB001225
   Dow K, 2013, NAT CLIM CHANGE, V3, P305, DOI 10.1038/nclimate1847
   Easterling W, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P273
   Efron B., 1982, JACLDCNIFE BOOTSTRAP
   FAO, 2013, CLIM SMART SOURC
   Gaydon DS, 2012, EUR J AGRON, V39, P35, DOI 10.1016/j.eja.2012.01.004
   Gaydon DS, 2012, EUR J AGRON, V39, P9, DOI 10.1016/j.eja.2012.01.003
   Gaydon D. S., 2017, EVALUATION IN PRESS
   Gornall J, 2010, PHILOS T R SOC B, V365, P2973, DOI 10.1098/rstb.2010.0158
   HEARN AB, 1994, AGR SYST, V44, P257, DOI 10.1016/0308-521X(94)90223-3
   Hochman Z, 2017, AGR SYST, V150, P54, DOI 10.1016/j.agsy.2016.10.001
   Holzworth DP, 2014, ENVIRON MODELL SOFTW, V62, P327, DOI 10.1016/j.envsoft.2014.07.009
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Huth NI, 2010, AGR ECOSYST ENVIRON, V136, P351, DOI 10.1016/j.agee.2009.12.016
   JANSEN DM, 1990, NETH J AGR SCI, V38, P661
   Jayaraman T., 2014, Review of Agrarian Studies, V4, P1
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Keating BA, 2003, EUR J AGRON, V18, P267, DOI 10.1016/S1161-0301(02)00108-9
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Kokic P., 2011, CLIMATE CHANGE PACIF, V1, P198
   Kokic P, 2011, ENVIRONMETRICS, V22, P409, DOI 10.1002/env.1074
   Lal M, 1998, AGR FOREST METEOROL, V89, P101, DOI 10.1016/S0168-1923(97)00064-6
   Linquist BA, 2015, GLOBAL CHANGE BIOL, V21, P407, DOI 10.1111/gcb.12701
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Moeller C, 2014, SUSTAIN SCI, V9, P1, DOI 10.1007/s11625-013-0228-2
   Mohandrass S., 1995, MODELING IMPACT CLIM, P165
   Neufeldt H., 2013, AGR FOOD SECURITY, V2, P12, DOI [DOI 10.1186/2048-7010-2-12, 10.1186/2048-7010-2-12]
   Robertson M., 2014, REG ENV CHANG
   Rummukainen M, 2012, WIRES CLIM CHANGE, V3, P115, DOI 10.1002/wcc.160
   Stocker T. F., 2013, PHYS BAS CONTR WORK
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   TENBRINK BJE, 1991, MAR POLLUT BULL, V23, P265, DOI 10.1016/0025-326X(91)90685-L
   Thorburn PJ, 2010, AGR ECOSYST ENVIRON, V136, P343, DOI 10.1016/j.agee.2009.12.014
   Trenberth KE, 2011, CLIM RES, V47, P123, DOI 10.3354/cr00953
   Tubiello FN, 2002, EUR J AGRON, V18, P57, DOI 10.1016/S1161-0301(02)00097-7
   White JW, 2011, FIELD CROP RES, V124, P357, DOI 10.1016/j.fcr.2011.07.001
NR 54
TC 25
Z9 27
U1 1
U2 45
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-521X
EI 1873-2267
J9 AGR SYST
JI Agric. Syst.
PD FEB
PY 2017
VL 151
BP 61
EP 72
DI 10.1016/j.agsy.2016.11.007
PG 12
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA EI5WO
UT WOS:000392567200006
DA 2025-01-10
ER

PT J
AU Seth, S
AF Seth, Suman
TI "A Decided Inaptitude in His Constitution": Race, Slavery, and
   Disability in the Nineteenth-Century British Empire
SO OSIRIS
LA English
DT Article
AB This chapter explores relationships between disability, race, slavery, medicine, and statistics in mid-nineteenth-century Britain. At its core are reports on military medical statistics, principally authored by Alexander Tulloch, that would become the backbone for subsequent claims about the reality and numerical value of race. Tulloch's Statistical Reports drew on his earlier (1837) statistical defense of plantation owners' treatment of the enslaved, published only a few years after the formal abolition of slavery. In those Reports, Tulloch argued for the inability of Africans to adapt to climates far removed from those of their homelands. White bodies, by contrast, were hyper-able. Maladaptability, in other words, was cast as a form of racialized disability. Africans, by Tulloch's logic, could move (or be moved) to relatively few places safely, while Europeans-committed to a range of settler-colonial projects-could claim a swathe of the world as their domain, even if the tropics remained a graveyard.
C1 [Seth, Suman] Cornell Univ, Dept Sci & Technol Studies, Ithaca, NY 14853 USA.
C3 Cornell University
RP Seth, S (corresponding author), Cornell Univ, Dept Sci & Technol Studies, Ithaca, NY 14853 USA.
EM ss536@cornell.edu
CR Alison W. P., 1824, Transactions of the MedicoChirurgical Society of Edinburgh, V1, P397
   Anderson W, 1992, Vic Stud, V35, P135
   [Anonymous], 1990, The Condition of Postmodernity: An Enquiry into the Origins of Cultural Change
   Barclay JeniferL., 2021, The Mark of Slavery: Disability, Race, and Gender in Antebellum America
   Berman Marshall, 1988, All That Is Solid Melts into Air: The Experience of Modernity, P95
   Blanco Richard L., 1974, Wellington's Surgeon General: Sir James McGrigor, P170
   Boster DH, 2014, DISABIL HIST, P201
   Boster DeaH., 2015, African American Slavery and Disability: Bodies, Property and Power in the Antebellum South, 1800-1860
   Buckley Roger., 1979, SLAVES RED COATS BRI
   Carlyle Edward Irving, 1899, Dictionary of National Biography, 1885 1900, vol. 57, TomTytler, V57
   Clark James, 1835, A Treatise on Pulmonary Consumption, P159
   Cullen Michael J., 2016, The Statistical Movement in Early Victorian Britain: The Foundations of Empirical Social Research, P45
   Curtin PhilipD., 1989, DEATH MIGRATION EURO
   Darwin C., 1871, P423
   Desjobert A., 1847, L'Algerie
   Forry Samuel, 1843, New York Journal of Medicine, V1, P153
   Forry Samuel, 1841, American Journal of the Medical Sciences, V1, P436
   Forry Samuel, 1843, New York Journal of Medicine, V1, P154
   Forry Samuel, 1843, New York Journal of Medicine, V1, P163
   Forry Samuel, 1843, New York Journal of Medicine, V1, P162
   Forry Samuel, 1842, The Climate of the United States and Its Endemic Influences, P357
   Forry Samuel., 1843, American Biblical Repository, V10, P29
   Forry Samuel, 1841, American Journal of the Medical Sciences, V2, P302
   Grosse Pascal, 2003, Worldly Provincialism:German Anthropology in the Age of Empire, P179
   Hamraie Aimi, 2017, Building Access: Universal Design and the Politics of Disability, P63
   Hippocrates, 1849, The Genuine Works of Hippocrates, V1, P190
   Hogarth Rana Asali, 2017, Medicalizing Blackness: Making Racial Difference in the Atlantic World, 1780-1840, P74
   Hunt James, 1863, Transactions of the Ethnological Society of London, V2, P58
   Hunt-Kennedy Stefanie., 2020, FITNESS DEATH DISABI
   KRIEGER N, 1987, INT J HEALTH SERV, V17, P259, DOI 10.2190/DBY6-VDQ8-HME8-ME3R
   LIVINGSTONE DN, 1987, HIST SCI, V25, P359, DOI 10.1177/007327538702500402
   Lockley T, 2020, MILITARY MEDICINE AND THE MAKING OF RACE: LIFE AND DEATH IN THE WEST INDIA REGIMENTS, 1795-1874, P1, DOI 10.1017/9781108862417
   Long Edward, 1774, The History of Jamaica, V2, P412
   Malte-Brun Conrad, 1827, Universal Geography, or A Description of All Parts of the World, on a New Plan, According to the Great Natural Divisions of the Globe; Accompanied with Analytical, Synoptical, and Elementary Tables, V1, P196
   Martin Emily, 1994, Flexible Bodies: Tracking Immunity in American Culture-From the Days of Polio to the Age of AIDS, P245
   Marx Karl, 1912, Manifesto of the Communist Party, P16
   McRuer Robert, 2006, Crip Theory: Cultural Signs of Queerness and Disability, P17
   Nisbet Richard, 1773, Slavery Not Forbidden by Scripture, or A Defence of the West-India Planters, P27
   Nott J. C., 1854, Types of Mankind: or, Ethnological Researches, P67
   Nott J. C., 1843, American Journal of the Medical Sciences, V6, P254
   Nott J. C., 1857, Indigenous Races of the Earth; or, New Chapters of Ethnological Inquiry, P376
   Nott Josiah, 1866, De Bow's Review, V1, P169
   Nott Josiah Clark, 1856, American Journal of the Medical Sciences, V64, P323
   Osborne MichaelA., 1994, NATURE EXOTIC SCI FR
   Said E.W., 1979, ORIENTALISM
   Scanlan Padraic X., 2017, Freedom's Debtors: British Antislavery in Sierra Leone in the Age of Revolution, P94
   Seth S, 2018, GLOBAL HEALTH HIST, P1, DOI 10.1017/9781108289726
   Sheridan RichardB., 1985, Doctors and Slaves - A medical and demographic history of slavery in the British West Indies, 1680-1834
   SHERMAN S, 1993, FORTUNE, V127, P50
   Thomson Arthur Saunders, 1837, Inaugural Dissertation on the Influence of Climate on the Health and Mortality of the Inhabitants of the Different Regions of the Globe, P18
   Tulloch A. M., 1838, Journal of the Statistical Society of London, V1, P444
   Tulloch A.M., 1841, Statistical Reports on the Sickness, Mortality, and Invaliding among Her Majesty's Troops Serving in Ceylon; the Tenasserim Provinces; and the Burmese Empire
   Tulloch A.M., 1839, Statistical Reports on the Sickness, Mortality, and Invaliding among the Troops in the United Kingdom, the Mediterranean, and British America
   Tulloch A.M., 1847, Journal of the Statistical Society of London, V10, P252
   Tulloch A. M., 1837, British Annals of Medicine, Pharmacy, Vital Statistics, and General Science, P449
   Tulloch Alexander., 1840, Statistical Reports on the Sickness, Mortality, Invaliding, Among the Troops in Western Africa, St. Helena, The Cape of Good Hope
   Tulloch Alexander., 1838, Statistical Report on the Sickness, Mortality and Invaliding among the Troops in the West Indies prepared from the records of the Army Medical Department and War Office Returns
   Wilberforce William, 1823, An Appeal to the Religion, Justice, and Humanity of the Inhabitants of the British Empire, in Behalf of the Negro Slaves in the West Indies, P8
NR 58
TC 0
Z9 0
U1 2
U2 2
PU UNIV CHICAGO PRESS
PI CHICAGO
PA 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA
SN 0369-7827
EI 1933-8287
J9 OSIRIS
JI Osiris
PD JAN 1
PY 2024
VL 39
IS 1
BP 95
EP 113
DI 10.1086/730404
PG 19
WC History & Philosophy Of Science
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC History & Philosophy of Science
GA WP8V2
UT WOS:001256177800008
DA 2025-01-10
ER

PT J
AU Krause, P
   Leistner, P
   Mehra, SR
AF Krause, Pia
   Leistner, Philip
   Mehra, Schew-Ram
TI Use and effect of vegetation in autochthonous buildings
SO BAUPHYSIK
LA German
DT Article
DE climate responsive building; urban building physics; literature
   analysis; vegetation
ID DESIGN
AB Based on a literature analysis, this study evaluates and summarizes the current state of the art of autochthonous buildings and their contribution to a climate-responsive design of the building environment on a global and regional level. The use and the effect of green structures in outdoor spaces for climate adaption is analyzed in a focused way. According to various studies, autochthonous buildings are not only characterized by a responsible resource management, but also take into account a bioclimatic design doctrine through a sensitive integration into the geographical and topographical context. Furthermore, existing research gaps, especially for the regional context, will be identified and formulated on the basis of the literature evaluation. In Germany the scientific analysis of autochthonous buildings is still underrepresented and requires further research.
C1 [Krause, Pia; Leistner, Philip; Mehra, Schew-Ram] Univ Stuttgart, Inst Akust & Bauphys, Pfaffenwaldring 7, D-70569 Stuttgart, Germany.
C3 University of Stuttgart
RP Krause, P (corresponding author), Univ Stuttgart, Inst Akust & Bauphys, Pfaffenwaldring 7, D-70569 Stuttgart, Germany.
EM pia.krause@iabp.uni-stuttgart.de; philip.leistner@iabp.uni-stuttgart.de;
   mehra@iabp.uni-stuttgart.de
CR Abdulkareem HA, 2016, PROCD SOC BEHV, V216, P662, DOI 10.1016/j.sbspro.2015.12.054
   ALHINAI H, 1993, APPL ENERG, V44, P233, DOI 10.1016/0306-2619(93)90019-L
   Almssad A, 2015, RENEW SUST ENERG REV, V48, P825, DOI 10.1016/j.rser.2015.04.013
   Nguyen AT, 2019, FRONT ARCHIT RES, V8, P535, DOI 10.1016/j.foar.2019.07.006
   [Anonymous], 1963, DESIGN WITH CLIMATE
   [Anonymous], 2020, DENKMALPFLEGE BADEN, V49
   Beck v B., HOTZENHAUS GIERSBACH
   Bedal A., 2012, FREILICHTMUSEUM HAUS
   Benslimane N, 2019, ENRGY PROCED, V157, P1241, DOI 10.1016/j.egypro.2018.11.290
   Bouchair A, 2003, BUILD ENVIRON, V38, P1345, DOI 10.1016/S0360-1323(03)00065-9
   Bruse M., 2000, Anwendung von mikroskaligen Simulationsmodellen in der Stadtplanung Anwendung von mikroskaligen Simulationsmodellen in der Stadtplanung
   Bundesministerium fur Umwelt Naturschutz Bau und Reaktorsicherheit, 2017, WEISSBUCH STADTGRUN
   Buse M., 1999, AUSWIRKUNGEN KLEINSK
   Cañas I, 2004, BUILD ENVIRON, V39, P1477, DOI 10.1016/j.buildenv.2004.04.007
   Dayaratne R, 2018, FRONT ARCHIT RES, V7, P334, DOI 10.1016/j.foar.2018.04.002
   Dhingra M., 2016, International Journal of Sustainable Built Environment, V5, P549, DOI DOI 10.1016/J.IJSBE.2016.08.004
   Dhote K., ENG APPL SCI, V1, P237
   Dobele L., 1967, ECKHARD JB
   Dobele L., 1930, SCHWARZWALDER MALER
   Du XY, 2014, BUILD ENVIRON, V82, P215, DOI 10.1016/j.buildenv.2014.08.022
   Eitzen Gerhard, 2006, BAUERNHAUSFORSCHUNG
   ENVI_MET GmbH, 2020, ENVI MET
   Fath H., 1986, NATURAL ENERGY VERNA
   Fathh H., 1973, ARCHITECTURE POOR GO
   Fernandes J, 2015, ARCHIT SCI REV, V58, P324, DOI 10.1080/00038628.2014.974019
   Ghaffarianhoseini A, 2015, BUILD ENVIRON, V87, P154, DOI 10.1016/j.buildenv.2015.02.001
   Givoni B., 1981, APPL SCI
   Gou SQ, 2015, BUILD ENVIRON, V86, P151, DOI 10.1016/j.buildenv.2014.12.003
   Gromer J., 2000, ENTWICKLUNG BAUERLIC
   Gruber O., 1961, BAUERNHAUSER BODENSE
   Kashani Mohammad Ali Haghshenas., 2013, Sustainability indicators of Iranian vernacular architecture: The case of Yazd
   Khalili M, 2014, SUSTAIN CITIES SOC, V13, P171, DOI 10.1016/j.scs.2014.05.008
   Kolesch H., 1967, ALTOBERSCHWABISCHE B
   Lee KH, 1996, ENERG BUILDINGS, V23, P207, DOI 10.1016/0378-7788(95)00946-9
   Leistner P, 2018, BAUPHYSIK, V40, P358, DOI 10.1002/bapi.201800009
   Lohss Max, 1932, Das Bauernhaus in Wurttemberg und angrenzenden Gebieten
   Mehra S.-R., STADTBAUPHYSIK GRUND
   Motealleh Parinaz, 2018, HBRC Journal, V14, P215, DOI 10.1016/j.hbrcj.2016.08.001
   Oliver Paul., 2003, DWELLINGS
   Oliver Paul., 1976, SHELTER AND SOC
   Pfoser N., 2016, Fassade und Pflanze. Potenziale einer neuen Fassadengestaltung
   Philokyprou M., 2013, C P, P13
   Rapoport A., 1990, History and Precedent in Environmental Design
   Rapoport A., 1977, HUMAN ASPECTS URBAN
   Rapoport Amos, 1969, House form and culture
   Ray B, 2018, PROCEDIA ENGINEER, V212, P117, DOI 10.1016/j.proeng.2018.01.016
   Rudofsky B., 2005, ARCHITECTURE ARCHITE
   Rudofsky Bernard., 1965, ARCHITECTURE ARCHITE
   Sachs-Gleich P., 1985, BAUERNHAUSER BODENSE
   Saljoughinejad S, 2015, BUILD ENVIRON, V92, P475, DOI 10.1016/j.buildenv.2015.05.005
   SCHAHL A, 1983, KUNSTDENKMALER REMS
   Schilli Hermann, 1953, SCHWARZWALDHAUS
   Schmid H., 1988, FORMEN BAUERLICHEN A
   Schnitzer U., 1989, SCHWARZWALDHAUSER GE
   Schock I., 1982, HAUSER LANDSCHAFTEN
   Schroder K. Heinz, 1963, STUDIEN SUDWESTDEUTS
   Taut B., 2005, ICH LIEBE JAPANISCHE
   Taut Bruno, 2017, JAPANISCHE HAUS SEIN
   Taut Bruno., 1938, MIMARI BILGISI
   Toe DHC, 2015, SOL ENERGY, V114, P229, DOI 10.1016/j.solener.2015.01.035
   Wittmann R., 2008, HOFBAUME
   World Health Organization, 2009, WHO guidelines for indoor air quality: dampness and mould
   Zirkelbach D., 2017, BAUPHYSIK KALENDER 2
   Zirkelbach D, 2015, BAUPHYSIK, V37, P1, DOI 10.1002/bapi.201510001
NR 64
TC 0
Z9 0
U1 0
U2 3
PU ERNST & SOHN
PI BERLIN
PA ROTHERSTRASSE 21, BERLIN, DEUTSCHLAND 10245, GERMANY
SN 0171-5445
EI 1437-0980
J9 BAUPHYSIK
JI Bauphysik
PD AUG
PY 2020
VL 42
IS 4
BP 184
EP 195
DI 10.1002/bapi.202000015
PG 12
WC Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology
GA NA8DO
UT WOS:000560048100006
DA 2025-01-10
ER

PT J
AU Panwar, P
   Bhatt, VK
   Pal, S
   Loria, N
   Alam, NM
   Sharma, NK
   Mishra, PK
AF Panwar, Pankaj
   Bhatt, V. K.
   Pal, Sharmistha
   Loria, Nancy
   Alam, N. M.
   Sharma, N. K.
   Mishra, P. K.
TI Vulnerability of agricultural households to climate change in hill state
   of north Western Himalaya
SO MAUSAM
LA English
DT Article
DE Adaptive capacity; Climate change; Exposure; Sensitivity; Vulnerability
   index
ID ADAPTATION
AB In the present study, vulnerability level of individual farming households to climate change is examined in Himachal Pradesh, North-western state of India. Principal Component Analysis (PCA) was used to develop vulnerability index for individual household. Mean household vulnerability index in the study area was 0.27. The farming households from Kullu district were the most vulnerable (5.94) while those from Hamirpur district were least vulnerable (-3.37). The study successfully identified the regional sources of vulnerability and prioritises the districts for adaptation planning. Implication of the study results lays with the policy makers in formulating region specific and targeted climate adaptation policies that foster asset building so as to reduce vulnerability and build long-term resilience to climate change.
C1 [Panwar, Pankaj; Bhatt, V. K.; Pal, Sharmistha; Loria, Nancy] ICAR Indian Inst Soil & Water Conservat, Res Ctr, Chandigarh, India.
   [Alam, N. M.; Sharma, N. K.; Mishra, P. K.] ICAR Indian Inst Soil & Water Conservat, Dehra Dun, Uttarakhand, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - Indian Institute
   of Soil & Water Conservation; Indian Council of Agricultural Research
   (ICAR); ICAR - Indian Institute of Soil & Water Conservation
RP Panwar, P (corresponding author), ICAR Indian Inst Soil & Water Conservat, Res Ctr, Chandigarh, India.
EM dr_pankajp@yahoo.co.in
RI Bhatt, Vidhi/LQL-0830-2024; Alam, Nurnabi Meherul/ABK-6871-2022; Panwar,
   Pankaj/AEN-3391-2022; Loria, Nancy/IST-3848-2023
OI Alam, Nurnabi M/0000-0001-5255-5751; LORIA, NANCY/0000-0003-2575-7475
FU Department of Science and Technology
FX The authors acknowledge the support received from Director of the
   Institute as well as Head of the center for guidance while undertaking
   the study. The financial assistance received under the project National
   Mission on Sustainable Himalayas, Task force 6 on Himalayan Agriculture
   funded by Department of Science and Technology, Govt. of India is duly
   acknowledged.
CR Acquah H. de G., 2011, Journal of Sustainable Development in Africa, V13, P150
   ADB, 2010, CLIMATE CHANGE ADAPT, P63
   [Anonymous], 2014, J EC SUSTAINABLE DEV
   [Anonymous], 2007, Climate Change 2007: A Synthesis Report, P22
   Antwi-Agyei P., 2012, 105 CTR CLIM CHANG E, P33
   Chaturvedi RK, 2011, MITIG ADAPT STRAT GL, V16, P119, DOI 10.1007/s11027-010-9257-7
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Filmer D, 2001, DEMOGRAPHY, V38, P115, DOI 10.2307/3088292
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Guhathakurta P, 2008, INT J CLIMATOL, V28, P1453, DOI 10.1002/joc.1640
   Hegrenes A., 2000, STRUCTURAL DEV NORWE, P95
   ICAR-NICRA, 2011, NAT INN CLIM RES AGR
   Kim ChungSil, 2012, [Journal of Rural Development, 농촌경제], V35, P53
   Kumar KK, 2004, INT J CLIMATOL, V24, P1375, DOI 10.1002/joc.1081
   Luni P., 2012, INT ASS AGR EC IAAE
   Madu I. A., 2012, 2 U TEX AUST RS STRA
   NATCOM, 2008, VULN ASS AD
   Opiyo FEO, 2014, PASTORALISM, V4, DOI 10.1186/s13570-014-0010-9
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Quayum M. A., 2012, Bangladesh Journal of Agricultural Research, V37, P307, DOI 10.3329/bjar.v37i2.11234
   Rana RS, 2013, INDIAN J TRADIT KNOW, V12, P596
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   Vincent K., 2004, Working Paper, V56, P1
   Zhang X., 2007, TYPOLOGY VULNERABILI, P33
NR 26
TC 2
Z9 2
U1 0
U2 6
PU INDIA METEOROLOGICAL DEPT
PI NEW DELHI
PA MAUSAM BHAWAN, LODI RD, NEW DELHI, 110 003, INDIA
SN 0252-9416
J9 MAUSAM
JI Mausam
PD APR
PY 2020
VL 71
IS 2
BP 199
EP 208
PG 10
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA LV4CH
UT WOS:000538384900003
DA 2025-01-10
ER

PT J
AU Lockie, S
   Graham, V
   Taylor, B
   Baresi, U
   Maclean, K
   Paxton, G
   Vella, K
AF Lockie, Stewart
   Graham, Victoria
   Taylor, Bruce
   Baresi, Umberto
   Maclean, Kirsten
   Paxton, Gillian
   Vella, Karen
TI Conceptualizing social risk in relation to climate change and assisted
   ecosystem adaptation
SO RISK ANALYSIS
LA English
DT Article; Early Access
DE Assisted ecosystem adaptation; climate adaptation; risk governance;
   social risk
ID IMPACT ASSESSMENT; PUBLIC-PARTICIPATION; AMPLIFICATION; RESTORATION;
   MANAGEMENT; CORPORATE; PROJECTS; OPERATE; LICENSE
AB Realizing positive social and environmental outcomes from assisted ecosystem adaptation requires the management of complex, uncertain, and ambiguous risks. Using assisted coral reef adaptation as a case study, this article presents a conceptual framework that defines social impacts as the physical and cognitive consequences for people of planned intervention and social risks as potential impacts transformed into objects of management through assessment and governance. Reflecting on its multiple uses in the literature, we consider "social risk" in relation to risks to individuals and communities, risks to First Peoples, risks to businesses or project implementation, possibilities for amplified social vulnerability, and risk perceptions. Although much of this article is devoted to bringing clarity to the different ways in which social risk manifests and to the multiple characters of risk and uncertainty, it is apparent that risk governance itself must be an inherently integrative and social process.
C1 [Lockie, Stewart; Graham, Victoria; Paxton, Gillian] James Cook Univ, Cairns Inst, Cairns, Qld 4870, Australia.
   [Lockie, Stewart] Australian Natl Univ, Sch Sociol, Canberra, ACT, Australia.
   [Taylor, Bruce; Maclean, Kirsten] Commonwealth Sci Ind Res Org, Brisbane, Qld, Australia.
   [Baresi, Umberto; Vella, Karen] Queensland Univ Technol, Sch Architecture & Built Environm, Brisbane, Qld, Australia.
   [Maclean, Kirsten] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT, Australia.
C3 James Cook University; Australian National University; Commonwealth
   Scientific & Industrial Research Organisation (CSIRO); Queensland
   University of Technology (QUT); Australian National University
RP Lockie, S (corresponding author), James Cook Univ, Cairns Inst, Cairns, Qld 4870, Australia.
EM stewart.lockie@jcu.edu.au
RI Taylor, Bruce/C-5771-2011; Baresi, Umberto/AEK-6404-2022; Lockie,
   Stewart/J-5263-2014; Maclean, Kirsten/D-3303-2009; Vella,
   Karen/D-1957-2014
OI Paxton, Gillian/0000-0002-4688-0838; Baresi,
   Umberto/0000-0001-7003-7720; Lockie, Stewart/0000-0002-2109-6342;
   Graham, Victoria/0000-0002-1278-491X; Maclean,
   Kirsten/0000-0002-5378-0245; Vella, Karen/0000-0002-5096-2908
FU Great Barrier Reef Foundation [RRAP-ENG-01]
FX Great Barrier Reef Foundation, Grant/Award Number: RRAP-ENG-01
CR Adger W. N., 1999, Mitig Adapt Strateg Glob Change, V4, P253, DOI [10.1023/A:1009601904210, DOI 10.1023/A:1009601904210]
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Anthony KRN, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0236399
   Artelle KA, 2019, BIOL CONSERV, V240, DOI 10.1016/j.biocon.2019.108284
   Aven T, 2018, Society for risk analysis glossary
   Barr SL, 2021, CAN GEOGR-GEOGR CAN, V65, P152, DOI 10.1111/cag.12635
   Batel S, 2020, ENERGY RES SOC SCI, V68, DOI 10.1016/j.erss.2020.101544
   Bay L., 2019, Reef Restoration and Adaptation Program: Intervention Summary
   Bennett NJ, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.873572
   Brierley GJ, 2020, FINDING THE VOICE OF THE RIVER: BEYOND RESTORATION AND MANAGEMENT, P1, DOI 10.1007/978-3-030-27068-1_1
   Bullock RCL, 2020, ENERGY RES SOC SCI, V64, DOI 10.1016/j.erss.2020.101446
   BURDGE RJ, 1995, ENVIRON IMPACT ASSES, V15, P11
   Butcherine P., 2023, Frontiers in Marine Science, P10
   Daly J, 2022, CORAL REEFS, V41, P455, DOI 10.1007/s00338-021-02202-x
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Esteves AM, 2017, ENVIRON IMPACT ASSES, V67, P73, DOI 10.1016/j.eiar.2017.07.001
   Esteves AM, 2012, IMPACT ASSESS PROJ A, V30, P34, DOI 10.1080/14615517.2012.660356
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Fletcher MS, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2022218118
   Franks DM, 2013, ENVIRON IMPACT ASSES, V43, P40, DOI 10.1016/j.eiar.2013.05.004
   Future Earth Australia, 2022, A national strategy for just adaptation
   Gavin MC, 2015, TRENDS ECOL EVOL, V30, P140, DOI 10.1016/j.tree.2014.12.005
   Gerlak AK, 2011, J PUBL ADM RES THEOR, V21, P619, DOI 10.1093/jopart/muq089
   Glucker AN, 2013, ENVIRON IMPACT ASSES, V43, P104, DOI 10.1016/j.eiar.2013.06.003
   Graetz G, 2016, J RISK RES, V19, P581, DOI 10.1080/13669877.2014.1003323
   Harrison D.P., 2024, Oceanographic Processes of Coral Reefs Physical and Biological Links in the Great Barrier Reef, P403
   Hellin J, 2021, FRONT CLIM, V3, DOI 10.3389/fclim.2021.751691
   Irvine P. J., 2016, Wiley Interdisciplinary Reviews: Climate Change
   Jijelava D, 2017, J CLEAN PROD, V140, P1077, DOI 10.1016/j.jclepro.2016.10.070
   Jozaei J, 2022, GLOB SUSTAIN, V5, DOI 10.1017/sus.2022.10
   Kaplan-Hallam M, 2018, CONSERV BIOL, V32, P304, DOI 10.1111/cobi.12985
   Kasperson RE, 1996, ANN AM ACAD POLIT SS, V545, P95, DOI 10.1177/0002716296545001010
   Kasperson RE, 2022, RISK ANAL, V42, P1367, DOI 10.1111/risa.13926
   Kemp D, 2016, RESOUR POLICY, V50, P19, DOI 10.1016/j.resourpol.2016.08.004
   Kenyon TM, 2023, BIOGEOSCIENCES, V20, P4339, DOI 10.5194/bg-20-4339-2023
   Klinke A, 2021, RISK ANAL, V41, P544, DOI 10.1111/risa.13383
   Lam VYY, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0172064
   Lippmann RB, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0282668
   Lockie S., 2001, IMPACT ASSESS PROJ A, V19, P277
   Lockie S., 2008, IMPACT ASSESS PROJ A, V26, P177, DOI DOI 10.3152/146155108X357257
   Lockie S., 2014, The Routledge International Handbook of Social and Environmental Change, P95, DOI [10.4324/9780203814550, DOI 10.4324/9780203814550]
   Lockie S, 2018, PALG STUD ENV SOCIOL, P327, DOI 10.1007/978-3-319-76415-3_15
   Lockie S, 2009, ENVIRON IMPACT ASSES, V29, P330, DOI 10.1016/j.eiar.2009.01.008
   Löfqvist S, 2023, BIOSCIENCE, V73, P134, DOI 10.1093/biosci/biac099
   Luke H, 2018, EXTRACT IND SOC, V5, P648, DOI 10.1016/j.exis.2018.10.006
   Lyons I, 2020, GEOGR RES-AUST, V58, DOI 10.1111/1745-5871.12385
   Maclean K, 2022, J CULT GEOGR, V39, P32, DOI 10.1080/08873631.2021.1911078
   Maclean K, 2013, GEOFORUM, V45, P96, DOI 10.1016/j.geoforum.2012.10.005
   Maffi L, 2005, ANNU REV ANTHROPOL, V34, P599, DOI 10.1146/annurev.anthro.34.081804.120437
   Mahmoudi H, 2013, ENVIRON IMPACT ASSES, V43, P1, DOI 10.1016/j.eiar.2013.05.003
   Mcleod E, 2019, J ENVIRON MANAGE, V233, P291, DOI 10.1016/j.jenvman.2018.11.034
   McLeod IM, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0273325
   Nursey-Bray M, 2019, LOCAL ENVIRON, V24, P473, DOI 10.1080/13549839.2019.1590325
   O'Faircheallaigh C, 2010, ENVIRON IMPACT ASSES, V30, P19, DOI 10.1016/j.eiar.2009.05.001
   O'Regan S. M., 2021, Frontiers in Marine Science, P8, DOI [10.3389/fmars.2021.711085/full, DOI 10.3389/FMARS.2021.711085/FULL]
   Parlee Brenda, 2005, EcoHealth, V2, P127, DOI 10.1007/s10393-005-3870-z
   Pelling Mark., 1998, J INT DEV, V10, P469, DOI DOI 10.1002/(SICI)1099-1328(199806)10:43.0.CO;2-4
   Prno J, 2013, RESOUR POLICY, V38, P577, DOI 10.1016/j.resourpol.2013.09.010
   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]
   Randall CJ, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.662263
   RENN O, 1992, J SOC ISSUES, V48, P137, DOI 10.1111/j.1540-4560.1992.tb01949.x
   Renn O, 2015, INT J DISAST RISK SC, V6, P8, DOI 10.1007/s13753-015-0037-6
   Renn O, 2013, J RISK RES, V16, P293, DOI 10.1080/13669877.2012.729522
   Renn OrtwinPeter Graham., 2005, White Paper on Risk Governance: Towards an Integrative Approach
   Rosa E.A., 2014, The risk society revisited: Social theory and governance
   Rose D.B., 1996, NOURISHING TERRAINSA
   Rounsevell MDA, 2021, ONE EARTH, V4, P967, DOI 10.1016/j.oneear.2021.06.003
   Scharfenstein HJ, 2023, EVOL APPL, V16, P1549, DOI 10.1111/eva.13586
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Schlosberg D, 2017, ENVIRON POLIT, V26, P413, DOI 10.1080/09644016.2017.1287628
   Selmoni O, 2024, TRENDS GENET, V40, P213, DOI 10.1016/j.tig.2024.01.003
   Shaver EC, 2022, GLOBAL CHANGE BIOL, V28, P4751, DOI 10.1111/gcb.16212
   Shumway N, 2023, BIOSCIENCE, V73, P778, DOI 10.1093/biosci/biad092
   Siegrist M, 2020, RISK ANAL, V40, P2191, DOI 10.1111/risa.13599
   Silvestrini S., 2015, Impact evaluation guidebook for climate change adaptation projects
   Singh C, 2022, CLIM DEV, V14, P650, DOI 10.1080/17565529.2021.1964937
   Sivapalan M, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0240460
   Slovic P., 2011, The feeling of risk: New perspectives on risk perception
   Sovacool BK, 2024, ENVIRON SCI POLICY, V155, DOI 10.1016/j.envsci.2024.103730
   Sovacool BK, 2023, RISK ANAL, V43, P838, DOI 10.1111/risa.13932
   Taylor N., 2003, The international handbook of social impact assessment: Conceptual and methodological advances, P13
   Tedesco AM, 2023, TRENDS ECOL EVOL, V38, P643, DOI 10.1016/j.tree.2023.02.007
   Thomas Webler., 1995, ENVIRON IMPACT ASSES, V15, P443, DOI DOI 10.1016/0195-9255(95)00043-E
   Vanclay F., 2003, Impact Assessment and Project Appraisal, V21, P5, DOI [DOI 10.3152/147154603781766491, 10.3152/147154603781766491 10.3152/147154603781766491, https://doi.org/10.3152/147154603781766491]
   Vanclay F., 2002, ENVIRON IMPACT ASSES, V22, P183, DOI [10.1016/S0195-9255(01)00105-6, DOI 10.1016/S0195-9255(01)00105-6]
   Vella K, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0257868
   Walker ET, 2019, NEW ZEAL J ECOL, V43, DOI 10.20417/nzjecol.43.34
   Wilburn KM, 2014, BUS PROF ETHICS J, V33, P1, DOI 10.5840/bpej20144216
   Wong CML, 2020, SOC NATUR RESOUR, V33, P1399, DOI 10.1080/08941920.2020.1797966
   Wong CML, 2015, RISK ANAL, V35, P1969, DOI 10.1111/risa.12429
   Zinn J. O., 2016, ENVIRON SOCIOL, V2, P385, DOI DOI 10.1080/23251042.2016.1233605
   Zinn JO, 2006, HIST SOC RES, V31, P275
   Zinn JensO., 2008, SOCIAL THEORIES RISK
NR 94
TC 0
Z9 0
U1 5
U2 5
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 2024 AUG 23
PY 2024
DI 10.1111/risa.17635
EA AUG 2024
PG 14
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 D5G5J
UT WOS:001296465800001
PM 39175371
OA hybrid
DA 2025-01-10
ER

PT J
AU McSweeney, K
   Kooperman, GJ
AF McSweeney, Killian
   Kooperman, Gabriel J.
TI Consistent Timing of Arctic Permafrost Loss Across the CESM1 Large
   Ensemble
SO GEOPHYSICAL RESEARCH LETTERS
LA English
DT Article
ID CLIMATE-CHANGE; SNOW COVER; MODEL; AMPLIFICATION
AB The Arctic is especially vulnerable to climate change and is warming faster than the global average. Changes in this region pose a heightened threat due to the immense amount of carbon frozen as organic material in the soil. When permafrost thaws, organic material decays and releases as greenhouse gases into the atmosphere, contributing to further warming. A better understanding of the processes that influence permafrost degradation is needed to inform climate adaptation and mitigation planning. This study assesses changes to Arctic permafrost across 35 ensemble member simulations from the Community Earth System Model 1 Large Ensemble Project, under the Representative Concentration Pathway 8.5 21st century scenario. Most Arctic near-surface permafrost is lost by 2100, but timing varies across regions and with soil depth. Internal climate variability, represented by differences between ensemble members, has a constrained influence on degradation timing due to relative consistency of summer temperature increases and insulation by winter snow cover.
C1 [McSweeney, Killian; Kooperman, Gabriel J.] Univ Georgia, Dept Geog, Athens, GA 30602 USA.
C3 University System of Georgia; University of Georgia
RP Kooperman, GJ (corresponding author), Univ Georgia, Dept Geog, Athens, GA 30602 USA.
EM kooperman@uga.edu
OI Kooperman, Gabriel/0000-0002-3174-4913; McSweeney,
   Killian/0000-0003-2577-3483
FU U.S. Department of Energy (DOE) Regional and Global Model Analysis
   (RGMA) Program [DE-SC0019459, DE-SC0021209]; University of Georgia's
   Center for Undergraduate Research Opportunities; National Science
   Foundation (NSF); U.S. Department of Energy (DOE) [DE-SC0021209,
   DE-SC0019459] Funding Source: U.S. Department of Energy (DOE)
FX The authors acknowledge support from the U.S. Department of Energy (DOE)
   Regional and Global Model Analysis (RGMA) Program (DE-SC0019459 and
   DE-SC0021209). K.M. was also supported by an assistantship from the
   University of Georgia's Center for Undergraduate Research Opportunities.
   This work is based on simulations from the Community Earth System model
   (CESM1), which was developed by the National Center for Atmospheric
   Research (NCAR) and is primarily supported by the National Science
   Foundation (NSF). The simulations were run as part of the CESM1 Large
   Ensemble Community Project, with resources on the Yellowstone
   supercomputer provided by the Computational and Information Systems
   Laboratory at NCAR. The authors thank Lori Wachowicz and Charles Koven
   for insightful suggestions and feedback.
CR Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Cohen J, 2014, NAT GEOSCI, V7, P627, DOI [10.1038/ngeo2234, 10.1038/NGEO2234]
   Deser C, 2012, NAT CLIM CHANGE, V2, P775, DOI 10.1038/NCLIMATE1562
   Deser C, 2012, CLIM DYNAM, V38, P527, DOI 10.1007/s00382-010-0977-x
   Dobinski W, 2011, EARTH-SCI REV, V108, P158, DOI 10.1016/j.earscirev.2011.06.007
   Dutra E, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL048435
   Grosse G., 2011, EOS T AM GEOPHYS UN, V92, P73, DOI DOI 10.1029/2011EO090001
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Hjort J, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07557-4
   Holland MM, 2003, CLIM DYNAM, V21, P221, DOI 10.1007/s00382-003-0332-6
   Hurrell JW, 2013, B AM METEOROL SOC, V94, P1339, DOI 10.1175/BAMS-D-12-00121.1
   Iwata Yukiyoshi, 2008, Journal of Agricultural Meteorology, V64, P301
   Kay JE, 2015, B AM METEOROL SOC, V96, P1333, DOI 10.1175/BAMS-D-13-00255.1
   Lawrence DM, 2012, J CLIMATE, V25, P2207, DOI 10.1175/JCLI-D-11-00334.1
   Lawrence DM, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL025080
   Liu JP, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009380
   MANABE S, 1980, J GEOPHYS RES-OCEANS, V85, P5529, DOI 10.1029/JC085iC10p05529
   Meehl GA, 2013, J CLIMATE, V26, P6287, DOI 10.1175/JCLI-D-12-00572.1
   Schaefer K, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/8/085003
   Schuur EAG, 2015, NATURE, V520, P171, DOI 10.1038/nature14338
   Serreze MC, 2009, CRYOSPHERE, V3, P11, DOI 10.5194/tc-3-11-2009
   Soong JL, 2020, J GEOPHYS RES-BIOGEO, V125, DOI 10.1029/2019JG005266
   Stieglitz M, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017337
   Streletskiy DA, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf5e6
   Treat CC, 2021, J GEOPHYS RES-BIOGEO, V126, DOI 10.1029/2020JG005872
   Van Everdingen R.O., 1998, MULTILANGUAGE GLOSSA
   Wang QX, 2016, SCI REP-UK, V6, DOI 10.1038/srep19219
   Washington WM, 1996, J GEOPHYS RES-ATMOS, V101, P12795, DOI 10.1029/96JD00505
   Yu WB, 2020, COLD REG SCI TECHNOL, V171, DOI 10.1016/j.coldregions.2019.102963
   Zhang T., 2000, POLAR GEOGRAPHY, V24, P126, DOI [10.1080/10889370009377692, DOI 10.1080/10889370009377692]
   Zhang TJ, 2005, REV GEOPHYS, V43, DOI 10.1029/2004RG000157
   Zhang Y, 2008, COLD REG SCI TECHNOL, V52, P355, DOI 10.1016/j.coldregions.2007.07.001
   Zimov SA, 2006, SCIENCE, V312, P1612, DOI 10.1126/science.1128908
NR 33
TC 1
Z9 1
U1 0
U2 2
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0094-8276
EI 1944-8007
J9 GEOPHYS RES LETT
JI Geophys. Res. Lett.
PD DEC 28
PY 2022
VL 49
IS 24
AR e2022GL100864
DI 10.1029/2022GL100864
PG 9
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology
GA 8M6XI
UT WOS:000924604600016
OA hybrid
DA 2025-01-10
ER

PT J
AU Wagle, P
   Philip, K
AF Wagle, Paroma
   Philip, Kavita
TI Climate justice is social justice: articulating people's rights to the
   city in Mumbai
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE Mumbai; the right to the city; social movements; urban climate justice
ID URBAN; VULNERABILITY; POLITICS; IMPACTS; CITIES; SLUMS; WATER
AB Mumbai, India's most populous city, faces rising temperatures, flooding, and pollution. Climate change is an urgent concern, yet strong disagreements divide the city's population on the nature of appropriate responses to climate crisis. We find that urban activists in Mumbai make an explicit connection between social justice and climate justice. This paper studies three social movements working in Mumbai to secure access to housing, water and sanitation for marginalized communities. Building on the work of Nancy Fraser, Iris Marion Young and Henri Lefebvre, we argue that climate injustice in Mumbai has roots in structures of inequality based in class, gender, religion and migration status. Climate adaptation strategies run the risk of exacerbating inequalities when disasters strike. We seek design solutions that centre on inclusive justice rather than technocratic market forces. This paper opens up a conversation about global megacities, climate change and "urban climate justice from below".
C1 [Wagle, Paroma] Univ British Columbia, Dept English Language & Literatures, Vancouver Campus, Vancouver, BC, Canada.
   [Wagle, Paroma] Univ British Columbia, Dept Geog, Vancouver Campus, Vancouver, BC, Canada.
   [Philip, Kavita] Univ British Columbia, Dept English Language & Literatures, Network Cultures, Vancouver Campus, Vancouver, BC, Canada.
C3 University of British Columbia; University of British Columbia;
   University of British Columbia
RP Wagle, P (corresponding author), Univ British Columbia, Fac Arts, Dept English Language & Literatures, 1873 E Mall 397,Vancouver Campus, Vancouver, BC V6T 1Z1, Canada.
EM Paroma.Wagle@ubc.ca; Kavita.Philip@ubc.ca
RI Wagle, Paroma/ABD-7564-2020
OI Wagle, Paroma/0000-0001-5010-4420
FU University of California Irvine (UCI)
FX The authors wish to acknowledge University of California Irvine (UCI)
   support for Paroma Wagle from 2015 to 2020 and a UCI Institutional
   Review Board (IRB) ethics approval for interviews and fieldwork carried
   out in 2019, as well as institutional support from the University of
   British Columbia (President's Excellence Chair in Network Cultures)
   during the writing of this paper. For feedback on early drafts of this
   project, they gratefully acknowledge comments from Adeem Suhail (Emory
   University, Atlanta), Poornima Paidipaty (King's College, London),
   Stephen Pascoe (The Laureate Centre for History and Population, UNSW,
   Australia) and Brigitta Bernet (The History from Below project,
   University of Trier), and the interdisciplinary scholarly audiences they
   drew together in 2021-22.
CR Adam HN., 2022, POLITICS CLIMATE CHA, P134
   Anand N., 2021, INDIAN EXPRESS 0911
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   Attoh KA, 2011, PROG HUM GEOG, V35, P669, DOI 10.1177/0309132510394706
   Bapat M, 2003, ENVIRON URBAN, V15, P71, DOI 10.1177/095624780301500221
   Barnett J., 2006, FAIRNESS ADAPTATION, P115
   Beck U., 2007, World Risk Society
   Benford RD, 2000, ANNU REV SOCIOL, V26, P611, DOI 10.1146/annurev.soc.26.1.611
   Bhagat RB, 2006, POPUL ENVIRON, V27, P337, DOI 10.1007/s11111-006-0028-z
   Bhalerao S., 2022, INDIAN EXPRESS 0315
   Bjorkman Lisa., 2015, PIPE POLITICS CONTES
   Blue G, 2019, J AM PLANN ASSOC, V85, P363, DOI 10.1080/01944363.2019.1619476
   Bulkeley H, 2014, GLOBAL ENVIRON CHANG, V25, P31, DOI 10.1016/j.gloenvcha.2014.01.009
   Bulkeley H, 2013, GLOBAL ENVIRON CHANG, V23, P914, DOI 10.1016/j.gloenvcha.2013.05.010
   Chakravarty S., 2012, Handbook of Climate Change and India, P218, DOI [DOI 10.4324/9780203153284-29, 10.4324/9780203153284-29]
   Chandramouli C., 2011, CENSUS INDIA 2011 PR, P409
   Chatterjee M., 2010, RESILIENT FLOOD LOSS
   Chu E, 2019, ENVIRON URBAN, V31, P139, DOI 10.1177/0956247818814449
   Cohen DA., 2018, PENN CURRENT RES SUS
   Contractor Q., 2020, Moving toward universal water sanitation access: A ground assessment of WASH realities in COVID-19 times
   CORO, 2018, RIGHT PEE
   Danaher Kevin., 1994, 50 years in Enough: The Case Against the World Bank and IMF
   De Wit J., 2016, Urban Poverty, Local Governance and Everyday Politics in Mumbai
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Express News Service, 2012, INDIAN EXPRESS 0703
   Fraser N., 1998, Discussion Paper, No. FS I 98-108, P98
   Fraser Nancy., 2013, Fortunes of Feminism: From State-Managed Capitalism to Neoliberal Crisis
   Fraser Nancy., 1998, THEORIZING MULTICULT, P19
   Friedmann J., 1995, Society and Nature, V1, P71
   GBGBA, 2022, US
   Goh K, 2020, CAMB J REG ECON SOC, V13, P559, DOI 10.1093/cjres/rsaa010
   Grigolo M., 2019, MONOGRAFIAS CIDOB, V76, P23
   Hansen ThomasBlom., 2001, Wages of Violence: Naming and Identity in Postcolonial Bombay
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Haraway Donna J., 2016, STAYING TROUBLE MAKI, DOI DOI 10.2307/J.CTV11CW25Q
   Harvey D, 2008, NEW LEFT REV, P23
   Hughes S, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.640
   Hughes S, 2017, URBAN AFF REV, V53, P362, DOI 10.1177/1078087416649756
   Isin Engin., 2000, Innis Centenary Series
   Iveson K, 2013, INT J URBAN REGIONAL, V37, P941, DOI 10.1111/1468-2427.12053
   Janwalkar M., 2013, DNA INDIA 1119
   Kelkar S., 2012, OPEN 0506
   LEFEBVRE H, 1967, HOMME SOC, P29
   Lefebvre Henri., 1991, Critique of Everyday Life, VI
   MacGregor S, 2021, ENVIRON POLIT, V30, P41, DOI 10.1080/09644016.2020.1846954
   Marcuse Peter., 2009, City, V13, P185, DOI DOI 10.1080/13604810902982177
   Abadie LM, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5254
   MCAP (Mumbai Climate Action Plan), 2022, MUMB CLIM ACT PLAN C
   Mohtat N, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100951
   Newell P, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.733
   Patankar A, 2016, NAT HAZARDS, V80, P285, DOI 10.1007/s11069-015-1968-3
   Patel G., 2017, RISKY BODIES TECHNO
   Peck J.Theodore., 2015, FAST POLICY EXPT STA
   Phadke ShilpaSameera Khan Shilpa Ranade., 2011, WHY LOITER WOMEN RIS
   Prakash G, 2010, NOIR URBANISMS: DYSTOPIC IMAGES OF THE MODERN CITY, P1
   Pramanik MK, 2017, ENVIRON DEV SUSTAIN, V19, P1343, DOI 10.1007/s10668-016-9804-9
   Pugalis L, 2011, ARCHIT THEORY REV, V16, P278, DOI 10.1080/13264826.2011.623785
   Purcell M., 2002, GeoJournal, V58, P99, DOI [10.1023/b:gejo.0000010829.62237.8f, DOI 10.1023/B:GEJO.0000010829.62237.8F, 10.1023/B:GEJO.0000010829.62237.8f]
   Rawls J., 1971, THEORY JUSTICE
   Reckien D., 2018, Climate change and cities: second assessment report of the urban climate change research network, P173, DOI [10.1017/9781316563878.013, DOI 10.1017/9781316563878.013]
   Sachidanand T., 2021, VIEWPOINTS STATE PLA
   Saldanha L., 2007, GREEN TAPISM REV ENV
   Schmalzer Sigrid., 2018, Science for the People: Documents from America's Movement of Radical Scientists
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Shinde T., 2021, CITIZEN MATTERS 0920
   Steele W, 2015, CURR OPIN ENV SUST, V14, P121, DOI 10.1016/j.cosust.2015.05.004
   Subbaraman R, 2015, B WORLD HEALTH ORGAN, V93, P815, DOI 10.2471/BLT.15.155473
   Tokar Brian., 2020, Climate Justice and Community Renewal: Resistance and Grassroots Solutions
   UNFCCC, 2022, UN FRAM CONV CLIM CH
   van den Berg HJ, 2019, ENVIRON SCI POLICY, V94, P90, DOI 10.1016/j.envsci.2018.12.015
   Westman L, 2021, LOCAL ENVIRON, V26, P536, DOI 10.1080/13549839.2021.1916903
   Young IM., 1998, THEORIZING MULTICULT, P19
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 74
TC 6
Z9 6
U1 5
U2 22
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 2022
VL 34
IS 2
BP 331
EP 348
DI 10.1177/09562478221113632
EA AUG 2022
PG 18
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA 5F0DJ
UT WOS:000847838900001
DA 2025-01-10
ER

PT J
AU Wiklund, S
AF Wiklund, Sofia
TI Evaluating physical climate risk for equity funds with quantitative
   modelling - how exposed are sustainable funds?
SO JOURNAL OF SUSTAINABLE FINANCE & INVESTMENT
LA English
DT Article
DE Climate adaptation; climate risk; ESG; sustainable finance; sustainable
   investment
AB The effects of climate change carry substantial financial consequences. Despite this, physical climate risk has only sparsely been covered in previous research, particularly in the setting of investing. Investors' tools for managing physical risk are in general rudimentary and many rely on sustainability labels. This study compares physical climate risk exposure of three groups of equity funds labelled as sustainable with the general market. Physical climate risk was evaluated by quantitative modelling, incorporating first level of upstream supply chain. The results show a lower physical risk for all three groups of sustainable funds in a five- and ten-year horizon. It cannot be concluded whether the lower risk is a result of consideration in sustainability labelling, or if lower physical risk is correlated with other sustainability qualities. Further research on physical climate risk for investors is needed, not least from a quantitative perspective and on risks related to supply chain.
C1 [Wiklund, Sofia] Swedish Univ Agr Sci, Dept Forest Econ, Uppsala, Sweden.
C3 Swedish University of Agricultural Sciences
RP Wiklund, S (corresponding author), Swedish Univ Agr Sci, Dept Forest Econ, Uppsala, Sweden.
EM sofiawiklund.95@gmail.com
CR Addoum JM, 2020, REV FINANC STUD, V33, P1331, DOI 10.1093/rfs/hhz126
   [Anonymous], 2019, Morningstar
   [Anonymous], 2018, European SRI Study
   [Anonymous], 2015, The economic consequences of climate change, DOI [10.1787/9789264235410-en, DOI 10.1787/9789264235410-EN]
   Arguez A, 2011, B AM METEOROL SOC, V92, P699, DOI 10.1175/2010BAMS2955.1
   Bailer-Jones Daniela M., 2009, Scientific Models in Philosophy of Science
   Castillo E, 1997, ARTIF INTELL, V96, P395, DOI 10.1016/S0004-3702(97)00052-0
   CDP, 2019, MAJOR RISK ROSY OPP
   Centre for Research on the Epidemiology of Disasters (CRED) & UN Office for Disaster Risk Reduction (UNISDR), 2018, EC LOSS POV DIS 1998
   Clapp C., 2017, 201701 CICERO
   Cooley D, 2009, CLIMATIC CHANGE, V97, P77, DOI 10.1007/s10584-009-9627-x
   Dai AG, 2018, CURR CLIM CHANGE REP, V4, P301, DOI 10.1007/s40641-018-0101-6
   Department of Finance Canada, 2020, GOV ANN SUPP PROGR L
   Do V, 2021, INT REV FINANC, V21, P724, DOI 10.1111/irfi.12294
   EEA, 2017, EC LOSS CLIM REL EXT
   European Commission, 2018, COM201897 EUR COMM
   Fang MY, 2019, J SUSTAIN FINANC INV, V9, P45, DOI 10.1080/20430795.2018.1522583
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Georgopoulou E, 2015, J ENVIRON PLANN MAN, V58, P874, DOI 10.1080/09640568.2014.899489
   Graham A., 2001, J ACCOUNT AUDIT FINA, V16, P93, DOI [DOI 10.1177/0148558X0101600203, 10.1177/0148558X0101600203, 10.1177/0148558x0101600203]
   Halabi-Echeverry A., 2019, COMPREHENSIVE RSL WO
   Hallegatte S, 2008, RISK ANAL, V28, P779, DOI 10.1111/j.1539-6924.2008.01046.x
   Haque A, 2015, INT J DISAST RISK RE, V13, P266, DOI 10.1016/j.ijdrr.2015.07.001
   Haraguchi M, 2015, INT J DISAST RISK RE, V14, P256, DOI 10.1016/j.ijdrr.2014.09.005
   Henisz WJ, 2019, J APPL CORP FINANC, V31, P105, DOI 10.1111/jacf.12352
   Heyer DanielD., 2014, MATH FINANCIAL MODEL
   Hoeck A, 2020, J ASSET MANAG, V21, P85, DOI 10.1057/s41260-020-00155-4
   Horridge M, 2005, J POLICY MODEL, V27, P285, DOI 10.1016/j.jpolmod.2005.01.008
   Hsiang SM, 2010, P NATL ACAD SCI USA, V107, P15367, DOI 10.1073/pnas.1009510107
   Jonkman SN, 2008, ECOL ECON, V66, P77, DOI 10.1016/j.ecolecon.2007.12.022
   Katz RW, 1999, ADV WATER RESOUR, V23, P133, DOI 10.1016/S0309-1708(99)00017-2
   Kjellstrom Tord., 2019, Working on a Warmer Planet: The Effect of Heat Stress on Productivity and Decent Work
   Knutson T, 2019, B AM METEOROL SOC, V100, P1987, DOI 10.1175/BAMS-D-18-0189.1
   Kossin JP, 2014, NATURE, V509, P349, DOI 10.1038/nature13278
   Kumar R., 2019, ESG DATA CHALLENGE
   Lenzen M, 2019, NAT HAZARD EARTH SYS, V19, P137, DOI 10.5194/nhess-19-137-2019
   McGregor G.R., 2015, Heatwaves and health: guidance on warning-system development
   Mercer, 2015, INV TIM CLIM CHANG S
   Nordic Ecolabelling, 2019, NORD EC INV FUNDS
   Olson DL, 2010, ENTERPRISE RISK MANAGEMENT MODELS, P57, DOI 10.1007/978-3-642-11474-8_5
   Oubennaceur K, 2019, INT J DISAST RISK RE, V33, P44, DOI 10.1016/j.ijdrr.2018.09.007
   Pielke RA, 2000, J CLIMATE, V13, P3625, DOI 10.1175/1520-0442(2000)013<3625:PADFTI>2.0.CO;2
   Price, 2013, AN201302 RES BANK NZ
   Rezende deCarvalho Ferreira., 2016, Journal of Sustainable Finance Investment, V6, P112, DOI DOI 10.1080/20430795.2016.1177438
   Rummukainen M, 2010, WIRES CLIM CHANGE, V1, P82, DOI 10.1002/wcc.8
   S&P, 2015, HEAT IS CLIM CHANG C
   Schneider TE, 2011, CONTEMP ACCOUNT RES, V28, P1537, DOI 10.1111/j.1911-3846.2010.01064.x
   Schroders, 2020, Climate change and financial markets. Foresight.
   Shah Kushal., 2019, J SUSTAIN FINANC INV, V9, P1
   Shue, 2018, CLIMATE JUSTICE INTE, DOI [10.1093/oso/9780198813248.001.0001/oso-9780198813248, DOI 10.1093/OSO/9780198813248.001.0001/OSO-9780198813248]
   Tanutama, 2019, 1044 STANF KING CTR
   TCFD, 2017, RECOMMENDATIONS TASK
   Technical Expert Group on Sustainable Finance, 2020, TAX FIN REP TECHN EX
   Thoma, 2019, STORM PROPOSAL CLIMA
   Towler E, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR007834
   Trenberth KE, 2011, CLIM RES, V47, P123, DOI 10.3354/cr00953
   Van Dijk-deGroot., 2015, Journal of Sustainable Finance Investment, V5, P178, DOI [10.1080/20430795.2015.1100035, DOI 10.1080/20430795.2015.1100035]
   Weber O., 2015, Journal of Sustainable Finance Investment, V5, P1, DOI [DOI 10.1080/20430795.2015.1008736, 10.1080/20430795.2015.1008736]
   World Economic Forum, 2020, The global risks report 2020
   World Meteorological Organization (WMO), 2006, SUMM STAT TROP CYCL
   Xia Y, 2018, J CLEAN PROD, V171, P811, DOI 10.1016/j.jclepro.2017.10.069
NR 61
TC 5
Z9 5
U1 4
U2 7
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2043-0795
EI 2043-0809
J9 J SUSTAIN FINANC INV
JI J. Sustain. Financ. Invest.
PD APR 3
PY 2023
VL 13
IS 2
BP 893
EP 918
DI 10.1080/20430795.2021.1894901
EA APR 2021
PG 26
WC Business, Finance; Green & Sustainable Science & Technology
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics; Science & Technology - Other Topics
GA K4YL2
UT WOS:000639672300001
OA Green Submitted
DA 2025-01-10
ER

PT C
AU Yu, ZZ
   Fu, YZ
   Chen, M
AF Yu, Zhenzhen
   Fu, Yongzheng
   Chen, Min
BE Kim, YH
TI Research on Thermal Comfort Models for Naturally Ventilated Buildings
SO PROCEEDINGS OF THE 2017 6TH INTERNATIONAL CONFERENCE ON ENERGY AND
   ENVIRONMENTAL PROTECTION (ICEEP 2017)
SE AER-Advances in Engineering Research
LA English
DT Proceedings Paper
CT 6th International Conference on Energy and Environmental Protection
   (ICEEP)
CY JUN 29-30, 2017
CL Zhuhai, PEOPLES R CHINA
DE Naturally ventilated buildings; Thermal comfort; PMV model; Adaptive
   model; Revise
AB Aiming at the insufficiency of thermal comfort standards of naturally ventilated buildings, the domestic existing thermal comfort evaluation models are introduced, including revised PMV models, climate adaptive models and its revised models. The results show that building energy saving potential can be well exerted by the use of thermal comfort models for naturally ventilated buildings to guide architectural design and the operation of air conditioning equipment. Chinese thermal comfort study samples are abundant, but have not yet established complete human thermal comfort research database. Therefore, it is difficult to form a standardized thermal comfort evaluation system. Various models have advantages and disadvantages when used to evaluate the indoor thermal comfort of naturally ventilated buildings. The follow-up studies should consider the error correction and focus on the combination of PMV model and adaptive model, and finally form a more comprehensive lumped parameter evaluation model which can combine the theories of human body heat balance and human body adaptability.
C1 [Yu, Zhenzhen; Fu, Yongzheng; Chen, Min] Wuhan Univ Sci & Technol, Coll Urban Construct, Wuhan, Hubei, Peoples R China.
C3 Wuhan University of Science & Technology
RP Yu, ZZ (corresponding author), Wuhan Univ Sci & Technol, Coll Urban Construct, Wuhan, Hubei, Peoples R China.
EM 1575156440@qq.com; 446965592@qq.com; chenminstud@126.com
RI Yu, Zhenzhen/A-5650-2013
FU Hubei Natural Science Foundation [ZRMS2017000351]
FX This work was financially supported by the Hubei Natural Science
   Foundation (ZRMS2017000351).
CR [Anonymous], 2007, Study on Climate Adaptability of Human Beings to Thermal Comfort in China
   Chongqing University China Academy of Building Research, 2012, 50785201 GBT CHONGQ
   Fanger P O, 2002, EXTENSION PMV MODEL
   Guo C, 2010, Heat. Vent. Air Cond., V40, P76
   Han Jie, 2007, STUDY THERMAL COMFOR
   Jiang Yantao, 2015, DING LX EXPT RES EFF
   Li Yaya, 2013, INDOOR THERMAL ENV W
   Lin Duanmu, 2016, J HV AC
   Liu Hong, 2009, STUDY THERMAL ENV IN
   Liu Jing., 2007, Study on Indoor Thermal Environment and Human Thermal Comfort of Natural Ventilation Buildings in Hot Summer and Cold Winter Zone [D]
   Liu Yang, 2010, 2010 INT S BUILD ENV
   Qu Wanying, 2014, STUDY CLIMATE ADAPTA
   Su Xing, 2007, J HV AC
   Wang Jian, 2013, J HV AC
   Yan H, 2013, STUDY ADAPTIVE THERM
   Yan Haiyan, 2011, J HV AC
   Yan Xiong, 2015, DESIGN STRATEGIES AD
   Yang Q., 2010, Study on the Indoor Thermal Comfort in the Cold Zone
   Yang Wei, 2007, STUDY SUMMER THERMAL
   Yao Runming, 2009, THEORETICAL ADAPTIVE
   Zhang J., 2010, STUDY INDOOR THERMAL
   Zhang Lin, 2010, STUDY ADAPTABILITY T
   Zhang Minfei, 2012, J HV AC
   Zheng Wuxing, 2015, J HV AC
   Zhou Xiang, 2008, STUDY INFLUENCE FACT
NR 25
TC 1
Z9 1
U1 0
U2 4
PU ATLANTIS PRESS
PI PARIS
PA 29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
SN 2352-5401
BN 978-94-6252-392-0
J9 AER ADV ENG RES
PY 2017
VL 143
BP 1084
EP 1092
PG 9
WC Engineering, Multidisciplinary; Environmental Sciences
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Engineering; Environmental Sciences & Ecology
GA BI9HA
UT WOS:000416087900188
DA 2025-01-10
ER

PT J
AU Malcomb, DW
   Weaver, EA
   Krakowka, AR
AF Malcomb, Dylan W.
   Weaver, Elizabeth A.
   Krakowka, Amy Richmond
TI Vulnerability modeling for sub-Saharan Africa: An operationalized
   approach in Malawi
SO APPLIED GEOGRAPHY
LA English
DT Article
DE Vulnerability; Adaptive capacity; Demographic; Modeling; Malawi
ID CLIMATE-CHANGE; MAPPING VULNERABILITY; ADAPTIVE CAPACITY; ADAPTATION;
   FRAMEWORK
AB This study addresses the need for a policy-relevant climatic vulnerability model in sub-Saharan Africa, where data is typically poor and people are exposed to a wide range of environmental and socioeconomic stressors that are unique to the region. This research applies a multi-scale, multi-indicator methodology that allows policy-makers and experts flexibility to contextualize causal factors in the modeling process through selection of evidence-based variables of vulnerability. This process is easily scaled to stakeholders needs, whether at a state, district or local level. This article provides a framework to assist stakeholders and policy-makers in Malawi to determine what drives vulnerability at a household level, which areas in the country are most vulnerable and where development solutions should be applied. As financial assistance related to climate adaptation increases rapidly in Africa, this article presents timely results for Malawi and an auspicious methodology that can assist other vulnerable countries. Published by Elsevier Ltd.
C1 [Malcomb, Dylan W.; Weaver, Elizabeth A.; Krakowka, Amy Richmond] US Mil Acad, Dept Geog & Environm Engn, West Point, NY 10996 USA.
C3 United States Military Academy; United States Department of Defense;
   United States Army
RP Weaver, EA (corresponding author), US Mil Acad, Dept Geog & Environm Engn, 745 Brewerton Rd,Rm 6004, West Point, NY 10996 USA.
EM Dylan.malcomb@usma.edu; Elizabeth.weaver@usma.edu; Amy.krakowka@usma.edu
OI Richmond, Amy/0000-0002-9045-537X
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger W. N., 1999, MITIG ADAPT STRAT GL, V4, P253
   Alkire Sarah., 2013, Multidimensional Poverty Index 2013
   [Anonymous], 2005, MAL FAC SER FOOD CRI
   [Anonymous], 2012, CLIMATE CHANGE HUMAN
   [Anonymous], PS POLITICAL SCI POL
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brooks N., 2003, Country level risk measures of climate-related natural disasters and implications for adaptation to climate change
   Busby JW, 2013, INT SECURITY, V37, P132, DOI 10.1162/ISEC_a_00116
   Cammack D., 2006, DRIVERS CHANGE DEV
   Chapin F.S., 2009, PRINCIPLES ECOSYSTEM, P319, DOI DOI 10.1007/978-0-387-73033-2_15
   Collier P, 2008, OXFORD REV ECON POL, V24, P337, DOI 10.1093/oxrep/grn019
   Conroy AC, 2006, POVERTY, AIDS AND HUNGER: BREAKING THE POVERTY TRAP IN MALAWI, P1, DOI 10.1057/9780230627703
   Cromwell E., 2005, COUNTRY FOOD SECURIT
   EM-DAT, 2012, OFDA CRED INT DIS DA
   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]
   FAO, 2011, CONS RES GROUND
   Fisher M, 2010, WORLD DEV, V38, P1241, DOI 10.1016/j.worlddev.2010.03.005
   Fussel H. M, 2010, REV QUANTITATIVE ANA
   Gillespie Stuart, 2006, HIGHL INT C HIV AIDS
   Government of Malawi, 2005, 1 GOV MAL
   Head L, 2010, PROG HUM GEOG, V34, P234, DOI 10.1177/0309132509338978
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Luers AL, 2005, GLOBAL ENVIRON CHANG, V15, P214, DOI 10.1016/j.gloenvcha.2005.04.003
   Magrath J., 2009, The winds of change: Climate change, poverty and the environment in Malawi
   Malawi Vulnerability Assessment Committee (MVAC), 2005, REP LIV ZON
   Maplecroft, 2012, CLIM VULN ASS
   Mogha S., 2013, MALAWI PRESIDENT BAN
   Nangoma David., 2013, Climate Change and Adaptation Strategies: a Case Study of the Mulanje Mountain Forest Reserve and Its Surroundings
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   Parry ML, 2007, WORKING GROUP 2 CONT, V4
   Peduzzi P, 2012, PHYS EXPOSITION DROU
   Peduzzi P, 2011, GLOBAL ESTIMATED RIS
   Peratsakis C., 2010, AID SCRAMBLE
   Polsky C, 2007, GLOBAL ENVIRON CHANG, V17, P472, DOI 10.1016/j.gloenvcha.2007.01.005
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   Scherr SJ, 2000, FOOD POLICY, V25, P479, DOI 10.1016/S0306-9192(00)00022-1
   Schipper ELF., 2007, TYNDALL CTR CLIMATE, V107, P13
   Schroter D., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P573, DOI 10.1007/s11027-005-6135-9
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   The World Bank, 2010, DIS RISK MAN MAL COU
   Tierney MJ, 2011, WORLD DEV, V39, P1891, DOI 10.1016/j.worlddev.2011.07.029
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Walker B, 2004, ECOL SOC, V9
   Watts M. J., 1993, Geojournal, V30, P117, DOI 10.1007/BF00808128
   Wisner B., 1993, Geojournal, V30, P127, DOI 10.1007/BF00808129
   World Bank, 2013, CLIM CHANG PROJ PROG
NR 49
TC 23
Z9 26
U1 0
U2 13
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 MAR
PY 2014
VL 48
BP 17
EP 30
DI 10.1016/j.apgeog.2014.01.004
PG 14
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA AE5BX
UT WOS:000334003900003
DA 2025-01-10
ER

PT J
AU Findlay, AM
AF Findlay, Allan M.
TI Migrant destinations in an era of environmental change
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Environmental migration; Destinations; Immobility; Migration systems;
   Migration forecasting
ID MIGRATION
AB Which destinations will be most impacted by environmental migration? Most research on environmental migration examines the drivers of mobility, identifying the locations that are most affected by environmental change. By contrast, little attention is paid to where migrants might move to in response to these changes. The paper argues that much can be learned from applying established knowledge from the migration research literature to the specifics of environmental mobility. Migration destinations of environmental movers are examined in two different contexts. First, research is reported relating to the migration destinations of populations affected by drought and food insecurity. Second, Europe is studied as a destination region for migration flows. The paper concludes that, in place of estimates of the number of environmental migrants, a more productive focus of research would be to achieve deeper understanding of the destinations selected by current environmental migrants, and to appreciate why immobility is as great a problem as movement to new locations for those concerned with climate adaptation planning.
C1 Univ Dundee, Sch Environm, Dundee DD1 4HN, Scotland.
C3 University of Dundee
RP Findlay, AM (corresponding author), Univ Dundee, Sch Environm, Dundee DD1 4HN, Scotland.
EM a.m.findlay@dundee.ac.uk
FU ESRC [ES/G027153/1] Funding Source: UKRI
CR [Anonymous], GOING HOME EVACUATIO
   [Anonymous], 2001, 34 UNHCR
   [Anonymous], 2011, Migration and Climate Change
   [Anonymous], 2007, EC CLIMATE CHANGE
   [Anonymous], 2010, WORLD DEV IND 2010
   [Anonymous], INT ORG MIGRATION MI
   Barnett A., 2009, REPORT DISPENSES MIG
   Bassett TJ, 2007, HUM ECOL, V35, P33, DOI 10.1007/s10745-006-9067-4
   Beauchemin C, 2011, POPUL SPACE PLACE, V17, P47, DOI 10.1002/psp.573
   Bijak J, 2010, J ROY STAT SOC A, V173, P775, DOI 10.1111/j.1467-985X.2009.00635.x
   Black R., 2008, CLIMATE CHANGE MIGRA, V33
   Black R, 2011, ENVIRON PLANN A, V43, P431, DOI 10.1068/a43154
   Bourdieu Pierre., 1990, DISTINCTION
   Boyle P., 1998, EXPLORING CONT MIGRA
   Bredeloup S, SAHARA TRAN IN PRESS
   Brettell Caroline., 2008, MIGRATION THEORY, V2nd, P113
   Brooks R, 2010, GLOB SOC EDUC, V8, P143, DOI 10.1080/14767720903574132
   Carling J, 2007, THESIS U OSLO
   Chiswick B., 2008, MIGRATION THEORY, P63
   Collyer M., 1918, POPULATION IN PRESS
   De Haas H, 2008, THIRD WORLD Q, V29, P1305, DOI 10.1080/01436590802386435
   Findlay A., 2011, DELPHI SURVEY IMMIGR
   Findlay A, 2010, SCOT GEOGR J, V126, P299, DOI 10.1080/14702541.2010.549346
   Findlay AM, 1997, AREA, V29, P34, DOI 10.1111/j.1475-4762.1997.tb00005.x
   Fischer M., 2001, INT J POPULATION GEO, V7, P357
   Grant Harriet, 2009, GUARDIAN
   Henry S, 2004, POPUL ENVIRON, V25, P397
   Hugo G, 1996, INT MIGR REV, V30, P105, DOI 10.2307/2547462
   Jimenez Maria., 2009, HUMANITARIAN CRISIS
   King R., 2010, ATLAS HUMAN MIGRATIO
   Kultalahti O, 2006, EUROPE FLUX
   Laczko F., 2009, MIGRATION ENV CLIMAT
   Malmberg G., 1997, International Migration, Immobility and Development: Multidisciplinary Perspectives, P21
   Metz B., 2007, Climate change
   MYERS N, 1993, BIOSCIENCE, V43, P752, DOI 10.2307/1312319
   Nowok B, 2011, POPUL SPACE PLACE, V17, P521, DOI 10.1002/psp.624
   Pachauri R, 2009, COP CLIM SUMM
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Pecoud A., 2011, MIGRATION CLIMATE CH
   Piguet E., 2008, NEW ISSUES REFUGEE R
   Potts Debbie., 2010, Circular Migration in Zimbabwe and Contemporary Sub-Saharan Africa
   Renaud Fabrice., 2007, Control, Adapt Or Flee: How to Face Environmental Migration?
   Robinson V., 1993, Geography and refugees: Patterns and processes of change, P134
   Robinson WC, 2001, FORCED MIGRATION & MORTALITY, P69
   Rogaly B, 2008, POPUL SPACE PLACE, V14, P497, DOI 10.1002/psp.502
   Shaw Chris, 2007, Popul Trends, P8
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Tickell C, 1991, PEOPLE, V18, P5
   TSG (The Scottish Government), 2010, AD CHANG CLIM
   Vertovec, 2007, TRANSNATIONISM
   Warner K., 2009, In search of shelter. Mapping the Effects of Climate Change on Human Migration and Displacement
   Warren R., 2006, 90 TYND CTR
   White E, 2010, POPULATION TRENDS, V139, P91
   [No title captured]
NR 54
TC 121
Z9 135
U1 1
U2 55
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 2011
VL 21
SU 1
SI SI
BP S50
EP S58
DI 10.1016/j.gloenvcha.2011.09.004
PG 9
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 875WO
UT WOS:000299066100007
DA 2025-01-10
ER

PT J
AU Kulekci, EA
   Sezen, I
   Toy, S
AF Kulekci, Elif Akpinar
   Sezen, Isik
   Toy, Suleyman
TI MITIGATION AND ADAPTATION APPROACHES TO CLIMATE CHANGE IN URBAN AREAS
SO FRESENIUS ENVIRONMENTAL BULLETIN
LA English
DT Article; Proceedings Paper
CT 20th International MESAEP Symposium on Environmental Pollution and its
   Impact on Life in the Mediterranean Region
CY OCT 26-27, 2020
CL ELECTR NETWORK
SP Mediterranean Sci Assoc Environm Protect
DE Climate Change; Urban Climate; Cities; Adaptation; Mitigation; Turkey
ID STRATEGIES; FRAMEWORK; TYPOLOGY
AB It is a well - known fact that there is a cause - effect relationship between climate change and urban areas, Several studies state that urban areas represent unfavourable climate characteristics compared to their surroundings because of their spatial planning and design failures. New urban planning and design approaches adopt innovative techniques to make cities more resilient to the impacts of climate change on one side. On the other side, cities all over the world prepare mitigation and or adaptation strategies with national or international supports to survive in the future climatic conditions. This review study evaluates the studies in literature conducted on climate adaptation and mitigation applications in cities all around the world in recent years. Some suggestions are presented in the light of the findings.
C1 [Kulekci, Elif Akpinar; Sezen, Isik] Ataturk Univ, Fac Architecture & Design, Dept Landscape Architecture, TR-25240 Erzurum, Turkey.
   [Toy, Suleyman] Ataturk Univ, Fac Architecture & Design, Dept City & Reg Planning, TR-25240 Erzurum, Turkey.
C3 Ataturk University; Ataturk University
RP Kulekci, EA (corresponding author), Ataturk Univ, Fac Architecture & Design, Dept Landscape Architecture, TR-25240 Erzurum, Turkey.
EM eakpinar@atauni.edu.tr
RI Toy, Süleyman/N-1894-2019
CR [Anonymous], 1981, The Urban Climate
   Balogun AL, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101888
   Caswell Hal, 2001, pi
   Demircan N., 2018, ATLAS INT REFERRED J, V4, P809
   European Commission, 2010, CIT OCC 05 PER CENT
   Sánchez FG, 2018, LAND USE POLICY, V79, P164, DOI 10.1016/j.landusepol.2018.08.010
   Göpfert C, 2019, CITY ENVIRON INTERAC, V1, DOI 10.1016/j.cacint.2019.100004
   Gondhalekar D, 2017, URBAN CLIM, V19, P28, DOI 10.1016/j.uclim.2016.11.004
   Grafakos S, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109623
   Grimmond S, 2007, GEOGR J, V173, P83, DOI 10.1111/j.1475-4959.2007.232_3.x
   Hamin EM, 2009, HABITAT INT, V33, P238, DOI 10.1016/j.habitatint.2008.10.005
   Hawkins E, 2017, B AM METEOROL SOC, V98, P1841, DOI 10.1175/BAMS-D-16-0007.1
   Hrabovszky-Horváth S, 2013, ENERG BUILDINGS, V62, P475, DOI 10.1016/j.enbuild.2013.03.011
   Kim H, 2018, SUSTAIN CITIES SOC, V41, P841, DOI 10.1016/j.scs.2018.06.021
   Leal W, 2019, SCI TOTAL ENVIRON, V692, P1175, DOI 10.1016/j.scitotenv.2019.07.227
   Liu ZF, 2014, LANDSCAPE ECOL, V29, P763, DOI 10.1007/s10980-014-0034-y
   Lwasa S, 2014, URBAN CLIM, V7, P92, DOI 10.1016/j.uclim.2013.10.007
   Mabon L, 2019, CITIES, V93, P273, DOI 10.1016/j.cities.2019.05.007
   Mahon L, 2018, WORLD DEV, V107, P224, DOI 10.1016/j.worlddev.2018.02.035
   National Centre for Atmospheric Science (NCAS), 2022, WHY IS CLIM IMP
   Newman P, 2020, CITIES, V103, DOI 10.1016/j.cities.2020.102651
   Ng E, 2018, URBAN CLIM, V23, P352, DOI 10.1016/j.uclim.2017.07.006
   Collado JRN, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102791
   Oke T, 1993, 13 INT C BIOMETEOROL, P123
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   OKE TR, 1973, ATMOS ENVIRON, V7, P769, DOI 10.1016/0004-6981(73)90140-6
   Oswald SM, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2020.100582
   Martínez CIP, 2018, J CLEAN PROD, V178, P314, DOI 10.1016/j.jclepro.2017.12.246
   Pasimeni MR, 2019, ENVIRON SCI POLICY, V95, P20, DOI 10.1016/j.envsci.2019.02.002
   Pietrapertosa F, 2019, CITIES, V91, P93, DOI 10.1016/j.cities.2018.11.009
   Sarkodie SA, 2019, SCI TOTAL ENVIRON, V656, P150, DOI 10.1016/j.scitotenv.2018.11.349
   Sharifi E, 2020, J CLEAN PROD, V254, DOI 10.1016/j.jclepro.2020.120035
   Shrestha S, 2019, J ENVIRON MANAGE, V235, P535, DOI 10.1016/j.jenvman.2019.01.035
   Solecki W, 2015, URBAN CLIM, V14, P116, DOI 10.1016/j.uclim.2015.07.001
   Straka M, 2019, LANDSCAPE URBAN PLAN, V183, P68, DOI 10.1016/j.landurbplan.2018.11.006
   Tang KHD, 2019, SCI TOTAL ENVIRON, V650, P1858, DOI 10.1016/j.scitotenv.2018.09.316
   Toy S, 2019, FRESEN ENVIRON BULL, V28, P710
   Tubridy D, 2020, GEOFORUM, V113, P133, DOI 10.1016/j.geoforum.2020.04.020
   Vajjarapu H, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101528
   World Bank, 2020, WORLD BANK
   World Meteorological Organisation (WMO), 2022, TAGS CLIM
   Xu LL, 2019, ENVIRON INT, V133, DOI 10.1016/j.envint.2019.105162
   Zen IS, 2019, URBAN CLIM, V30, DOI 10.1016/j.uclim.2019.100501
NR 43
TC 0
Z9 0
U1 8
U2 21
PU PARLAR SCIENTIFIC PUBLICATIONS (P S P)
PI FREISING
PA ANGERSTR. 12, 85354 FREISING, GERMANY
SN 1018-4619
EI 1610-2304
J9 FRESEN ENVIRON BULL
JI Fresenius Environ. Bull.
PY 2022
VL 31
IS 8A
BP 8271
EP 8280
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology
GA 4D0UF
UT WOS:000846858600003
DA 2025-01-10
ER

PT C
AU Ge, CY
   Yang, L
   Zhang, Y
   Du, XL
AF Ge, Cuiyu
   Yang, Liu
   Zhang, Yi
   Du, Xiaolei
BE Li, A
   Zhu, Y
   Li, Y
TI Study on Climate Adaptability Design Strategies Based on the Human Body
   Thermal Comfort: Taking Guanzhong Rural Housing as Example
SO PROCEEDINGS OF THE 8TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATION
   AND AIR CONDITIONING, VOL 1: INDOOR AND OUTDOOR ENVIRONMENT
SE Lecture Notes in Electrical Engineering
LA English
DT Proceedings Paper
CT 8th International Symposium on Heating, Ventilation, and Air
   Conditioning (ISHVAC)
CY OCT 19-21, 2013
CL Xian, PEOPLES R CHINA
SP Xian Univ Architecture & Technol, Tsinghua Univ, Univ Hong Kong
DE Guanzhong plain; Climate design; Thermal adaptive model; Passive design
AB A field survey in Guanzhong plain in China has been done on vernacular dwellings to obtain thermal adaptability model which is expressed as T-n = 0.691T(out,m)+12.91(R-2 = 0.915). An analysis has been done on local climate data by using climate analysis method combined with psychrometric chart and establishes comfort zones of two seasons of winter and summer in Turpan. In this paper, we defined four controlling potential areas (passive solar heating, the mass effect and night ventilation, natural ventilation, and evaporative cooling) and obtained the number of days when we can apply passive design strategy. Finally, this paper summarized the suitable design strategies which response to climate environment on vernacular dwellings in Guanzhong plain in China.
C1 [Ge, Cuiyu; Yang, Liu; Zhang, Yi; Du, Xiaolei] Xian Univ Architecture & Technol, Sch Architecture, Xian 710055, Peoples R China.
C3 Xi'an University of Architecture & Technology
RP Ge, CY (corresponding author), Xian Univ Architecture & Technol, Sch Architecture, Xian 710055, Peoples R China.
EM gcy_3333@163.com; yangliu@xauat.edu.cn
RI yang, liu/GVU-8760-2022
CR [Anonymous], 1985, ASHRAE Transactions
   China Meteorological Information Center, 2005, Chinese building thermal environment analysis of specialized meteorological data collection
   de Dear R.J., 1994, ASHRAE T, V100, P457
   Donnini G., 1996, RP 821 ASHRAE T, V103, P795
   Fanger P.O., 1972, THERMAL COMFORT
   Feriadi H, 2004, ENERG BUILDINGS, V36, P614, DOI 10.1016/j.enbuild.2004.01.011
   Humphreys M.A., 1978, Building Research and Practice, V6, P92, DOI [10.1080/09613217808550656, DOI 10.1080/09613217808550656]
   LIU J, 2005, CLIMATE RESPONSIVE A
   Liu YX, 2003, THESIS XIAN U ARCHIT
   Nicol JF, 1999, ENERG BUILDINGS, V30, P261, DOI 10.1016/S0378-7788(99)00011-0
   Oseland N. A., 1998, Ashrae Transactions, V104, P1018
   Papparelli A, 1996, LANDSCAPE URBAN PLAN, V34, P19, DOI 10.1016/0169-2046(95)00202-2
   SCHILLER GE, 1990, ASHRAE TRAN, V96, P609
   SHAHIN H, 2002, ENERG BUILDINGS, V34, P607
   TANG Y, 2010, THESIS SHANDONG ARCH
   TAO P, 1991, INDOOR AIR, V4
   Wang Z, 2004, J HV AC, V34, P39
   XIE L, 2006, THESIS XIAN U ARCHIT
NR 18
TC 0
Z9 0
U1 1
U2 25
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
SN 1876-1100
EI 1876-1119
BN 978-3-642-39584-0; 978-3-642-39583-3
J9 LECT NOTES ELECTR EN
PY 2014
VL 261
BP 87
EP 96
DI 10.1007/978-3-642-39584-0_10
PG 10
WC Construction & Building Technology
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology
GA BA6HY
UT WOS:000337147000010
DA 2025-01-10
ER

PT J
AU Tian, ZJ
   Liu, YF
   Chen, YW
   Song, C
   Liang, YX
AF Tian, Zhijun
   Liu, Yanfeng
   Chen, Yaowen
   Song, Cong
   Liang, Yuxiang
TI Thermal analysis and optimization of data center building envelope
   insulation in different climate zones
SO APPLIED THERMAL ENGINEERING
LA English
DT Article
DE Building envelope thermal design; Net heat flow across envelope; Data
   center energy saving
ID RADIANT TEMPERATURE; EXTERNAL WALLS; ENERGY; SIMULATION; DESIGN; MODEL;
   HOT
AB The discrepancy in occupancy between ordinary buildings and data centers requires a unique methodology to achieve more effective cooling load reduction. This paper proposes using net heat flow through the building envelope as a control metric, considering the unique requirements of data centers. A corresponding optimization approach is developed to adjust the insulation thickness accordingly. Using the proposed method, five representative cities from different climate zones are analyzed and compared with the current standards. The orientation of roof insulation design for data centers should be contrary to that of ordinary buildings in all five climate zones. In addition to regions with extremely cold and cold climates, the insulation design orientation of the walls surrounding the data center should also be opposite that of ordinary buildings. Lower cooling load is observed at least 50% of time in a year when using the proposed method among climate zones. This article provides an alternative to using natural cooling sources through a building envelope designed specifically for data centers that have greater climate adaptability.
C1 [Liu, Yanfeng; Chen, Yaowen; Song, Cong] Xian Univ Architecture & Technol, State Key Lab Green Bldg China, Xian 710055, Shaanxi, Peoples R China.
   [Tian, Zhijun; Liu, Yanfeng; Chen, Yaowen; Song, Cong; Liang, Yuxiang] Xian Univ Architecture & Technol, Sch Bldg Serv Sci & Engn, Xian 710055, Shaanxi, Peoples R China.
C3 Xi'an University of Architecture & Technology; Xi'an University of
   Architecture & Technology
RP Liu, YF (corresponding author), Xian Univ Architecture & Technol, State Key Lab Green Bldg China, Xian 710055, Shaanxi, Peoples R China.; Liu, YF (corresponding author), Xian Univ Architecture & Technol, Sch Bldg Serv Sci & Engn, Xian 710055, Shaanxi, Peoples R China.
EM yanfengliu@xauat.edu.cn
RI Liang, Yuxiang/C-4347-2009
FU The "the 14th Five-Year" National Science and Technology Major Project
   of China [2022YFC3801401]; State Key Program of National Natural Science
   Foundation of China [U20A20311]; Shaanxi Provincial Department of
   Education Youth Innovation Team Research Program Project [22JP039]
FX The study is supported by "the 14th Five-Year" National Science and
   Technology Major Project of China (No. 2022YFC3801401), the State Key
   Program of National Natural Science Foundation of China (No. U20A20311),
   Shaanxi Provincial Department of Education Youth Innovation Team
   Research Program Project (No. 22JP039). The first author would like to
   express gratitude to Dr. R.Z. Guo from the Hangzhou Institute for
   Advanced Study, University of Chinese Academy of Sciences (UCAS), for
   his generous guidance and support in both thermodynamics and critical
   thinking over the years.
CR Nguyen AT, 2014, APPL ENERG, V113, P1043, DOI 10.1016/j.apenergy.2013.08.061
   [Anonymous], 2018, Jointly issued by the Ministry of Housing and Urban-Rural Development of the People's Republic of China and the General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Code for Design of Data Centers
   ASHRAE T., 2011, Whitepaper prepared by ASHRAE technical committee (TC), V9
   Atmaca I, 2007, BUILD ENVIRON, V42, P3210, DOI 10.1016/j.buildenv.2006.08.009
   Baglivo C, 2014, ENERG BUILDINGS, V84, P483, DOI 10.1016/j.enbuild.2014.08.043
   D'Orazio M, 2014, J BUILD PHYS, V38, P50, DOI 10.1177/1744259113480134
   Djedjig R, 2012, INT COMMUN HEAT MASS, V39, P752, DOI 10.1016/j.icheatmasstransfer.2012.03.024
   Dombayci ÖA, 2006, APPL ENERG, V83, P921, DOI 10.1016/j.apenergy.2005.10.006
   Durand-Estebe B, 2014, APPL ENERG, V134, P45, DOI 10.1016/j.apenergy.2014.07.072
   Dylewski R, 2011, BUILD ENVIRON, V46, P2615, DOI 10.1016/j.buildenv.2011.06.023
   FANGER PO, 1985, ENERG BUILDINGS, V8, P225, DOI 10.1016/0378-7788(85)90006-4
   Hallik J, 2021, ENERG BUILDINGS, V252, DOI 10.1016/j.enbuild.2021.111397
   Hu M, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101466
   Huan C, 2021, BUILD ENVIRON, V206, DOI 10.1016/j.buildenv.2021.108334
   Huang JN, 2014, ENERG BUILDINGS, V75, P504, DOI 10.1016/j.enbuild.2014.02.040
   Khan NA, 2021, BUILD ENVIRON, V200, DOI 10.1016/j.buildenv.2021.107948
   Kheiri F, 2018, RENEW SUST ENERG REV, V92, P897, DOI 10.1016/j.rser.2018.04.080
   Liu YF, 2021, ENERG BUILDINGS, V247, DOI 10.1016/j.enbuild.2021.111167
   Phan L, 2014, ENERG BUILDINGS, V77, P364, DOI 10.1016/j.enbuild.2014.03.060
   Lu YH, 2021, J BUILD ENG, V42, DOI 10.1016/j.jobe.2021.102496
   MOSS D., 2009, APC White Paper, V138
   Muller C, 2010, ASHRAE TRAN, V116, P207
   Murathan EK, 2020, RENEW ENERG, V162, P1919, DOI 10.1016/j.renene.2020.09.086
   Oral GK, 2004, BUILD ENVIRON, V39, P281, DOI 10.1016/S0360-1323(03)00141-0
   Ouanes S, 2024, BUILD ENVIRON, V248, DOI 10.1016/j.buildenv.2023.111099
   Pan YQ, 2008, ENERG BUILDINGS, V40, P1145, DOI 10.1016/j.enbuild.2007.10.008
   Qu Y, 2021, ENERG BUILDINGS, V241, DOI 10.1016/j.enbuild.2021.110966
   Quezada-García S, 2020, BUILD ENVIRON, V170, DOI 10.1016/j.buildenv.2019.106634
   R. and A.-C.E. American Society of Heating, 2023, ASHRAE Standard 90.4
   Shah J.M., 2017, Qualitative Study of Cumulative Corrosion Damage of IT Equipment in a Data Center Utilizing Air-Side Economizer, DOI [10.1115/IMECE2016-66199, DOI 10.1115/IMECE2016-66199]
   Sun KY, 2021, ENERG BUILDINGS, V231, DOI 10.1016/j.enbuild.2020.110603
   Wetter Michael., 2009, Generic Optimization Program User Manual Version 3.0.0
   Wu CJ, 2024, BUILD ENVIRON, V254, DOI 10.1016/j.buildenv.2024.111386
   Xu L, 2020, ENERG BUILDINGS, V226, DOI 10.1016/j.enbuild.2020.110398
   Yuventi J, 2013, ENERG BUILDINGS, V64, P90, DOI 10.1016/j.enbuild.2013.04.015
   Zhang S, 2022, SOL ENERGY, V246, P14, DOI 10.1016/j.solener.2022.09.034
   Zhang YF, 2008, ENERG BUILDINGS, V40, P1895, DOI 10.1016/j.enbuild.2008.04.006
   Zhou F, 2011, CHINESE SCI BULL, V56, P2185, DOI 10.1007/s11434-011-4500-5
   Zhu JY, 2015, RENEW ENERG, V73, P55, DOI 10.1016/j.renene.2014.05.062
NR 39
TC 0
Z9 0
U1 10
U2 10
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1359-4311
EI 1873-5606
J9 APPL THERM ENG
JI Appl. Therm. Eng.
PD DEC 1
PY 2024
VL 257
AR 124366
DI 10.1016/j.applthermaleng.2024.124366
EA SEP 2024
PN B
PG 12
WC Thermodynamics; Energy & Fuels; Engineering, Mechanical; Mechanics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels; Engineering; Mechanics
GA G2A5M
UT WOS:001314718300001
DA 2025-01-10
ER

PT J
AU Zeng, P
   Shi, DC
   Helbich, M
   Sun, FY
   Zhao, HY
   Liu, YY
   Che, Y
AF Zeng, Peng
   Shi, Dachuan
   Helbich, Marco
   Sun, Fengyun
   Zhao, Hongyu
   Liu, Yaoyi
   Che, Yue
TI Gender disparities in summer outdoor heat risk across China: Findings
   from a national county-level assessment during 1991-2020
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Heat extreme; Heat risk assessment; Gender disparity; Spatiotemporal
   variation; Outdoor activity duration; Thermal comfort
ID MORTALITY; VULNERABILITY; EXPOSURE; WALKING; HEALTH; TRENDS; SPEED
AB Increasing anthropogenic global warming has emerged as a significant challenge to human health in China, as extreme heat hazards increasingly threaten outdoor-exposed populations. Differences in thermal comfort, outdoor activity duration, and social vulnerability between females and males may exacerbate gender inequalities in heat-related health risks, which have been overlooked by previous studies. Here, we combine three heat hazards and outdoor activity duration to identify the spatiotemporal variation in gender-specific heat risk in China during 1991-2020. We found that females' heat risk tends to be higher than that of males. Gender disparities in heat risk decrease in southern regions, while those in northern regions remain severe. Males are prone to overheating in highly urbanized areas, while females in low urbanized areas. Males' overheating risk is mainly attributed to population clustering associated with prolonged outdoor activity time and skewed social resource allocation. In contrast, females' overheating risk is primarily affected by social inequalities. Our findings suggest that China needs to further diminish gender disparities and accelerate climate adaptation planning.
C1 [Zeng, Peng; Liu, Yaoyi; Che, Yue] East China Normal Univ, Inst Ecochongming IEC, Sch Ecol & Environm Sci, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Shanghai 200241, Peoples R China.
   [Zeng, Peng; Helbich, Marco] Univ Utrecht, Fac Geosci, Dept Human Geog & Spatial Planning, NL-3584 CS Utrecht, Netherlands.
   [Shi, Dachuan] Univ Hong Kong, Dept Mech Engn, Pokfulam Rd, Hong Kong, Peoples R China.
   [Sun, Fengyun] Shanghai Normal Univ, Sch Environm & Geog Sci, Shanghai 200234, Peoples R China.
   [Zhao, Hongyu] Jilin Jianzhu Univ, Sch Architecture & Planning, 5088 Xincheng Rd, Changchun 130118, Peoples R China.
   [Che, Yue] East China Normal Univ, Sch Ecol & Environm Sci, Shanghai 200241, Peoples R China.
C3 East China Normal University; Utrecht University; University of Hong
   Kong; Shanghai Normal University; Jilin Jianzhu University; East China
   Normal University
RP Che, Y (corresponding author), East China Normal Univ, Sch Ecol & Environm Sci, Shanghai 200241, Peoples R China.
EM yche@des.ecnu.edu.cn
RI liu, yuxin/GRY-3592-2022; shi, dachuan/AGH-4182-2022; Che,
   Yue/GRE-7952-2022; Zhao, Hongyu/JEP-4779-2023; Zeng, Peng/KMX-9694-2024
OI Zeng, Peng/0000-0002-2547-1437
CR [Anonymous], 2016, EXPOSURE FACTORS HDB
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Blazejczyk K., 1994, BIOCLIMATIC RES HUMA, P27
   Chakraborty T, 2019, INT J APPL EARTH OBS, V74, P269, DOI 10.1016/j.jag.2018.09.015
   Chen HQ, 2022, LANCET REG HEALTH-W, V28, DOI 10.1016/j.lanwpc.2022.100582
   Chen JD, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01322-5
   Chen L, 2022, ENERG BUILDINGS, V256, DOI 10.1016/j.enbuild.2021.111757
   Chen Q, 2018, INT J HEALTH GEOGR, V17, DOI 10.1186/s12942-018-0135-y
   Cheng H, 2018, INT PLAN STUD, V23, P163, DOI 10.1080/13563475.2017.1361318
   Cheng WW, 2021, SCI TOTAL ENVIRON, V799, DOI 10.1016/j.scitotenv.2021.149417
   Chu LL, 2023, J WOMEN AGING, V35, P299, DOI 10.1080/08952841.2022.2046988
   Crichton D., 1999, Nat Disaster Manag, P102
   Day S., 2022, World Risk Report 2022
   Dong JQ, 2020, LANDSCAPE URBAN PLAN, V203, DOI 10.1016/j.landurbplan.2020.103907
   Duan X.L., 2013, Exposure Factors Handbook of Chinese Population
   Estoque RC, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15218-8
   Gao F, 2022, J EXPO SCI ENV EPID, V32, P223, DOI 10.1038/s41370-021-00401-w
   General Administration of Sport of China, 2022, National Physical Fitness Monitoring Bulletin
   [郭禹慧 Guo Yuhui], 2021, [热带地理, Tropical Geography], V41, P596
   He BJ, 2022, RENEW SUST ENERG REV, V161, DOI 10.1016/j.rser.2022.112350
   Health Emergency Office, 2014, Guide for Prevention and Emergency Treatment of High Temperature and Heat Stroke 2014
   Heaviside C, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0100-9
   Hoehne CG, 2018, HEALTH PLACE, V54, P1, DOI 10.1016/j.healthplace.2018.08.014
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Hu KJ, 2017, ENVIRON SCI TECHNOL, V51, P1498, DOI 10.1021/acs.est.6b04355
   Hua JY, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102507
   Intergov Panel Clim Chg, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P1, DOI 10.1017/CBO9781139177245
   Irmischer IJ, 2018, CARTOGR GEOGR INF SC, V45, P177, DOI 10.1080/15230406.2017.1292150
   Johnson DP, 2012, APPL GEOGR, V35, P23, DOI 10.1016/j.apgeog.2012.04.006
   Kephart JL, 2022, NAT MED, V28, P1700, DOI 10.1038/s41591-022-01872-6
   Klepeis NE, 2001, J EXPO ANAL ENV EPID, V11, P231, DOI 10.1038/sj.jea.7500165
   Kuras ER, 2017, ENVIRON HEALTH PERSP, V125, DOI 10.1289/EHP556
   Lan L, 2008, EUR J APPL PHYSIOL, V102, P471, DOI 10.1007/s00421-007-0609-2
   Li HP, 2023, URBAN AFF REV, V59, P892, DOI 10.1177/10780874221098152
   Looney DP, 2018, MIL MED, V183, pE357, DOI 10.1093/milmed/usx099
   Lu YL, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau9413
   Ludlow LW, 2017, J APPL PHYSIOL, V123, P1288, DOI 10.1152/japplphysiol.00504.2017
   Migliari M, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103852
   Nairn J., 2009, CITESEER WORKSHOP
   National Bureau of Statistics of China, 2021, NATL POPULATION CENS
   National Bureau of Statistics of China, 2021, China Economic Yearbook
   National Bureau of Statistics of China, 2021, Final Statistical Monitoring Report of the utline for Women's Development in China (2011-2020)
   National Bureau of Statistics of the Peoples Republic of China, 2021, CHIN CIT STAT YB
   Ng CFS, 2016, GLOBAL ENVIRON CHANG, V39, P234, DOI 10.1016/j.gloenvcha.2016.05.006
   PANDOLF KB, 1977, J APPL PHYSIOL, V43, P577, DOI 10.1152/jappl.1977.43.4.577
   Papalexiou SM, 2018, EARTHS FUTURE, V6, P71, DOI 10.1002/2017EF000709
   Parsons K., 2014, Human thermal environments: The effects of hot, moderate, and cold environments on human health, comfort, and performance, DOI [10.1201/b16750, DOI 10.1201/B16750]
   Perkins SE, 2013, J CLIMATE, V26, P4500, DOI 10.1175/JCLI-D-12-00383.1
   Qi W, 2022, J RURAL STUD, V93, P461, DOI 10.1016/j.jrurstud.2019.03.008
   Sun BD, 2019, LANDSCAPE URBAN PLAN, V192, DOI 10.1016/j.landurbplan.2019.103667
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taylor J, 2018, ENVIRON INT, V111, P287, DOI 10.1016/j.envint.2017.11.005
   The State Council of the People's Republic of China, 2021, China Women's Development Program (2021-2030)
   Wang ZB, 2011, J GEOGR SCI, V21, P18, DOI 10.1007/s11442-011-0826-9
   WEF (World Economic Forum), 2022, Global Gender Gap Report 2022
   [Wen Xumin 温旭敏], 2023, [Journal of Resources and Ecology, 资源与生态学报], V14, P399
   Wu JY, 2022, LANDSCAPE URBAN PLAN, V222, DOI 10.1016/j.landurbplan.2022.104381
   Wu SH, 2019, EARTHS FUTURE, V7, P1307, DOI 10.1029/2019EF001194
   [谢盼 Xie Pan], 2015, [地理学报, Acta Geographica Sinica], V70, P1041
   Yang J, 2019, SCI TOTAL ENVIRON, V649, P695, DOI 10.1016/j.scitotenv.2018.08.332
   Yang Q, 2017, ARAB J GEOSCI, V10, DOI 10.1007/s12517-017-3289-1
   Yang QQ, 2019, SCI TOTAL ENVIRON, V655, P652, DOI 10.1016/j.scitotenv.2018.11.171
   Yin Y, 2023, SCI ADV, V9, DOI 10.1126/sciadv.ade8501
   Zarulli V, 2018, P NATL ACAD SCI USA, V115, pE832, DOI 10.1073/pnas.1701535115
   Zeng P, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104490
NR 65
TC 3
Z9 3
U1 21
U2 53
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD APR 15
PY 2024
VL 921
AR 171120
DI 10.1016/j.scitotenv.2024.171120
EA FEB 2024
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA MW1F1
UT WOS:001196573200001
PM 38382599
OA Green Published
DA 2025-01-10
ER

PT J
AU Bourguiba, H
   Batnini, MA
   Naccache, C
   Zitouna, N
   Trifi-Farah, N
   Audergon, JM
   Krichen, L
AF Bourguiba, Hedia
   Batnini, Mohamed-Amine
   Naccache, Chahnez
   Zitouna, Nadia
   Trifi-Farah, Neila
   Audergon, Jean-Marc
   Krichen, Lamia
TI Chloroplastic and nuclear diversity of endemic <i>Prunus armeniaca</i>
   L. species in the oasis agroecosystems
SO GENETICA
LA English
DT Article
DE Apricot; Microsatellites; Chloroplast markers; Bottleneck;
   Seed-propagation; Climate adaptation
ID GENETIC DIVERSITY; PERSICA L.; MICROSATELLITE MARKERS; MOLECULAR
   CHARACTERIZATION; POPULATION-STRUCTURE; DEMOGRAPHIC HISTORY; APRICOT
   CULTIVARS; AFLP MARKERS; PEACH; DNA
AB Tunisia is characterized by the presence of specific seed-propagated apricot (Prunus armeniaca L.) material which is found in the oasis agroecosystems. In order to highlight the genetic diversity, population structure, and demographic history of this germplasm, 33 apricot accessions collected from six different oasis regions in southwestern Tunisia were genotyped using 24 microsatellite markers. A total number of 111 alleles was detected with an average of 4.62 alleles per locus. Bayesian model-based clustering analysis indicated four subdivisions within the collection sampled that corresponded mainly to the geographic origin of the material. The analysis of the 33 accessions using chloroplast markers allowed the identification of 32 haplotypes. Overall, the present study highlighted the high Tunisian apricot's diversity in the traditional oasis agroecosystems with low genetic differentiation. Understanding the structure of seed-propagated apricot collection is crucial for managing collections in regard to adaptive traits for Arid and Saharan climates as well as for identifying interesting genotypes that can be integrated into international coordinated actions of breeding programs.
C1 [Bourguiba, Hedia; Trifi-Farah, Neila; Krichen, Lamia] Univ Tunis El Manar UTM, Lab Genet Mol Immunol & Biotechnol LGMIB LR99ES12, Fac Sci Tunis FST, Campus Univ Farhat Hached, Tunis, Tunisia.
   [Batnini, Mohamed-Amine] OARDC OSU, Dept Plant Pathol, 120 Selby,1680 Madison Ave, Wooster, OH 44691 USA.
   [Naccache, Chahnez] Univ Tunis El Manar UTM, Lab Biochim & Biotechnol LR01ES05, Fac Sci Tunis FST, Tunis, Tunisia.
   [Zitouna, Nadia] Univ Tunis El Manar, Inst Pasteur Tunis, Lab Genom Biomed & Oncogenet, LR16IPT05, Tunis, Tunisia.
   [Audergon, Jean-Marc] INRAe Ctr PACA, UR GAFL 1052, 67 Allee Chenes,CS60094, F-84143 Montfavet, France.
C3 Universite de Tunis-El-Manar; Faculte des Sciences de Tunis (FST);
   University System of Ohio; Ohio State University; Universite de
   Tunis-El-Manar; Faculte des Sciences de Tunis (FST); Pasteur Network;
   Universite de Tunis-El-Manar; Institut Pasteur Tunis; INRAE
RP Bourguiba, H (corresponding author), Univ Tunis El Manar UTM, Lab Genet Mol Immunol & Biotechnol LGMIB LR99ES12, Fac Sci Tunis FST, Campus Univ Farhat Hached, Tunis, Tunisia.
EM hediabourguiba@hotmail.com
RI Trifi-Farah, N./AAE-7736-2020; Bourguiba, Hedia/HSG-0938-2023
OI Bourguiba, Hedia/0000-0003-1260-9545; naccache,
   chahnez/0000-0001-6853-6192; Krichen, Lamia/0000-0001-9180-6322
FU bilateral Franco-Tunisian initiative [05 G0904]; Tunisian Ministry of
   High Education and Scientific Research [LR99ES12]
FX The research was supported by a bilateral Franco-Tunisian initiative
   within the framework of the CMCU Project (05 G0904) as well as the
   Tunisian Ministry of High Education and Scientific Research (Project
   LR99ES12).
CR [Anonymous], 2003, FSTAT (ver. 2.9.4), a program to estimate and test population genetics parameters
   Aranzana MJ, 2003, THEOR APPL GENET, V106, P1341, DOI 10.1007/s00122-002-1128-5
   Aranzana MJ, 2002, PLANT BREEDING, V121, P87, DOI 10.1046/j.1439-0523.2002.00656.x
   Bai WN, 2010, NEW PHYTOL, V188, P892, DOI 10.1111/j.1469-8137.2010.03407.x
   Bandelt HJ, 1999, MOL BIOL EVOL, V16, P37, DOI 10.1093/oxfordjournals.molbev.a026036
   Batnini MA, 2016, SPAN J AGRIC RES, V14, DOI 10.5424/sjar/2016143-8638
   Batnini MA, 2019, SCI HORTIC-AMSTERDAM, V245, P99, DOI 10.1016/j.scienta.2018.09.071
   Belalia N, 2019, GENET RESOUR CROP EV, V66, P243, DOI 10.1007/s10722-018-0709-3
   Boubakri A, 2021, SCI HORTIC-AMSTERDAM, V276, DOI 10.1016/j.scienta.2020.109758
   Bourguiba H, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00638
   Bourguiba H, 2012, BMC PLANT BIOL, V12, DOI 10.1186/1471-2229-12-49
   Bourguiba H, 2012, SCI HORTIC-AMSTERDAM, V142, P7, DOI 10.1016/j.scienta.2012.04.024
   Bourguiba H, 2010, GENETICA, V138, P1023, DOI 10.1007/s10709-010-9488-2
   Bourguiba H, 2010, PLANT MOL BIOL REP, V28, P578, DOI 10.1007/s11105-010-0189-x
   Bruvo R, 2004, MOL ECOL, V13, P2101, DOI 10.1111/j.1365-294X.2004.02209.x
   Carraut A., 1974, Annales de l'Institut National de la Recherche Agronomique de Tunisie, V47
   Cipriani G, 1999, THEOR APPL GENET, V99, P65, DOI 10.1007/s001220051209
   Cornuet JM, 1996, GENETICS, V144, P2001
   DELCASTILLO RF, 1994, HEREDITY, V72, P446, DOI 10.1038/hdy.1994.63
   Dirlewanger E, 2002, THEOR APPL GENET, V105, P127, DOI 10.1007/s00122-002-0867-7
   DumolinLapegue S, 1997, MOL ECOL, V6, P393, DOI 10.1046/j.1365-294X.1997.00193.x
   Earl DA, 2012, CONSERV GENET RESOUR, V4, P359, DOI 10.1007/s12686-011-9548-7
   ElMousadik A, 1996, THEOR APPL GENET, V92, P832, DOI 10.1007/BF00221895
   Ercisli S, 2009, ROM BIOTECH LETT, V14, P4582
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Faust M., 1998, Horticultural Reviews, V22, P225, DOI 10.1002/9780470650738.ch6
   Forster P., 2004, NETWORK 4 2 0 1
   FU YX, 1993, GENETICS, V133, P693
   Hagen LS, 2004, MOL ECOL NOTES, V4, P742, DOI 10.1111/j.1471-8286.2004.00802.x
   Hagen LS, 2002, THEOR APPL GENET, V105, P298, DOI 10.1007/s00122-002-0910-8
   Jakobsson M, 2007, BIOINFORMATICS, V23, P1801, DOI 10.1093/bioinformatics/btm233
   Joobeur T, 1998, THEOR APPL GENET, V97, P1034, DOI 10.1007/s001220050988
   Kato S, 2011, J PLANT RES, V124, P11, DOI 10.1007/s10265-010-0352-3
   Kostina KF., 1964, P TRUD NIK BOT GARD, V24
   Krichen L, 2014, SCI HORTIC-AMSTERDAM, V172, P86, DOI 10.1016/j.scienta.2014.03.038
   Krichen L, 2008, J AM SOC HORTIC SCI, V133, P204, DOI 10.21273/JASHS.133.2.204
   Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
   Librado P, 2009, BIOINFORMATICS, V25, P1451, DOI 10.1093/bioinformatics/btp187
   Liu KJ, 2005, BIOINFORMATICS, V21, P2128, DOI 10.1093/bioinformatics/bti282
   Liu S, 2019, MOL ECOL, V28, P5299, DOI 10.1111/mec.15296
   Luikart G, 1998, J HERED, V89, P238, DOI 10.1093/jhered/89.3.238
   Mamouni A, 2014, PLANT GENET RESOUR-C, V12, P215, DOI 10.1017/S1479262113000543
   Mohamed A, 2019, GENET RESOUR CROP EV, V66, P1189, DOI 10.1007/s10722-019-00784-8
   NEI M, 1972, AM NAT, V106, P283, DOI 10.1086/282771
   Nybom Hilde, 2000, Perspectives in Plant Ecology Evolution and Systematics, V3, P93, DOI 10.1078/1433-8319-00006
   Peakall R, 2012, BIOINFORMATICS, V28, P2537, DOI 10.1093/bioinformatics/bts460
   Perrier X., 2006, DARwin software: Dissimilarity analysis and representation for windows
   Piry S, 1999, J HERED, V90, P502, DOI 10.1093/jhered/90.4.502
   Poudel RC, 2014, TREE GENET GENOMES, V10, P653, DOI 10.1007/s11295-014-0711-7
   Pritchard JK, 2000, GENETICS, V155, P945
   Raymond M, 1995, EVOLUTION, V49, P1280, DOI 10.1111/j.1558-5646.1995.tb04456.x
   RAYMOND M, 1995, J HERED, V86, P248, DOI 10.1093/oxfordjournals.jhered.a111573
   Rogers AR, 1996, MOL BIOL EVOL, V13, P895, DOI 10.1093/molbev/13.7.895
   Sánchez-Pérez R, 2005, SCI HORTIC-AMSTERDAM, V103, P305, DOI 10.1016/j.scienta.2004.06.009
   Sevindik E, 2020, INT J FRUIT SCI, V20, pS1652, DOI 10.1080/15538362.2020.1828223
   TAJIMA F, 1984, MOL BIOL EVOL, V1, P269
   TAJIMA F, 1989, GENETICS, V123, P585
   Testolin R, 2000, GENOME, V43, P512, DOI 10.1139/gen-43-3-512
   THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
   Urrestarazu J, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0195591
   Van Oosterhout C, 2004, MOL ECOL NOTES, V4, P535, DOI 10.1111/j.1471-8286.2004.00684.x
   Vavilov N.I., 1992, Origin and Geography of Cultivated Plants
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Wünsch A, 2002, HEREDITY, V89, P56, DOI 10.1038/sj.hdy.6800101
   Yamamoto T, 2002, MOL ECOL NOTES, V2, P298, DOI 10.1046/j.1471-8286.2002.00242.x
   Zarei A, 2017, BIOTECHNOL BIOTEC EQ, V31, P289, DOI 10.1080/13102818.2016.1276414
   Zhang X, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00583
NR 67
TC 2
Z9 2
U1 0
U2 6
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0016-6707
EI 1573-6857
J9 GENETICA
JI Genetica
PD AUG
PY 2021
VL 149
IS 4
BP 239
EP 251
DI 10.1007/s10709-021-00127-5
EA JUL 2021
PG 13
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA TS7AC
UT WOS:000670170200001
PM 34231081
DA 2025-01-10
ER

PT C
AU Vahedifard, F
   Alborzi, A
   Williams, JM
   AghaKouchak, A
AF Vahedifard, Farshid
   Alborzi, Aneseh
   Williams, James M.
   AghaKouchak, Amir
BE Meehan, CL
   Pando, MA
   Leshchinsky, BA
   Jafari, NH
TI Framework for Adaptive Design of Infrastructure under a Changing Climate
SO GEO-EXTREME 2021: CLIMATIC EXTREMES AND EARTHQUAKE MODELING
SE Geotechnical Special Publication
LA English
DT Proceedings Paper
CT Geo-Extreme Congress - Climatic Extremes and Earthquake Modeling
CY NOV 07-10, 2021
CL Savannah, GA
SP Amer Soc Civil Engineers, Amer Soc Civil Engineers, Geo Inst
ID SEA-LEVEL RISE; FLOOD RISK; HEAVY-PRECIPITATION; DEEP UNCERTAINTY;
   DECISION-MAKING; ADAPTATION; LOSSES
AB We present a framework for adaptive infrastructure design that can properly account for variability and uncertainties associated with projected future climatic patterns. Current methods of infrastructure design commonly rely upon the assumption of stationarity, implying that the statistics of the past climate define future risk. Significant changes in climate conditions and event occurrence statistics make this assumption invalid. These variations introduce a new level of uncertainty that should be included in the design, construction, and operation of infrastructure systems. However, current efforts to predict the future climate do not provide sufficient and accurate information for application to infrastructure design. Due to the uncertainty present in the future climate projections, adaptive measures provide the greatest potential for cost effective risk mitigation. In this study, we provide insight into how to revisit the existing design methods with a vision toward embracing climate adaptive methods in engineering practice. The proposed adaptable design prevents the higher costs posed by other adaptation strategies, such as robust infrastructure, reducing overinvestment at the initial stage. A conceptual iterative design example is presented to show how the proposed framework can be employed for adaptive design of a seawall.
C1 [Vahedifard, Farshid] Mississippi State Univ, Richard A Rula Sch Civil & Environm Engn, Mississippi State, MS 39762 USA.
   [Alborzi, Aneseh; AghaKouchak, Amir] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA USA.
   [Williams, James M.] Eustis Engn LLC, Metairie, LA USA.
C3 Mississippi State University; University of California System;
   University of California Irvine
RP Vahedifard, F (corresponding author), Mississippi State Univ, Richard A Rula Sch Civil & Environm Engn, Mississippi State, MS 39762 USA.
EM farshid@cee.msstate.edu; aalborzi@uci.edu; jwilliams@eustiseng.com;
   amir.a@uci.edu
RI AghaKouchak, Amir/ABH-2495-2022
OI Vahedifard, Farshid/0000-0001-8883-4533
FU National Science Foundation [CMMI-1634748, CMMI-1635797]
FX This material is based upon work supported in part by the National
   Science Foundation under Grant Nos. CMMI-1634748 and CMMI-1635797.
CR [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], 1996, Soil Mechanics in Engineering Practice, DOI DOI 10.1097/00010694-194911000-00029
   Ayyub B. M., 2016, J GEOGRAPHY NATURAL, V6
   Ayyub B.M., 2018, MOP140 ASCE
   Babovic F, 2018, URBAN WATER J, V15, P552, DOI 10.1080/1573062X.2018.1529803
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Cheng LY, 2014, CLIMATIC CHANGE, V127, P353, DOI 10.1007/s10584-014-1254-5
   Choate A., 2017, FHWAHEP17082
   DFID U., 2005, Climate Change and Development: South Asia Report
   Dittes B, 2018, NAT HAZARD EARTH SYS, V18, P1327, DOI 10.5194/nhess-18-1327-2018
   Dittrich R, 2016, ECOL ECON, V122, P79, DOI 10.1016/j.ecolecon.2015.12.006
   FEMA, 2018, Guidance for Flood Risk Analysis and Mapping: Coastal Wave Setup (FEMA)
   Fischer EM, 2015, NAT CLIM CHANGE, V5, P560, DOI 10.1038/nclimate2617
   Groves D., 2015, Adaptation to Climate Change in Project Design, P131
   Haasnoot M., 2019, Decision Making under Deep Uncertainty: from Theory to Practice, P71, DOI DOI 10.1007/978-3-030-05252-2_4
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hui R, 2018, ADV WATER RESOUR, V118, P83, DOI 10.1016/j.advwatres.2018.05.009
   Kopp RE, 2014, EARTHS FUTURE, V2, P383, DOI 10.1002/2014EF000239
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Lall U., 2018, WATER IMPACTS RISKS, VII, P145, DOI DOI 10.7930/NCA4.2018.CH3
   Moftakhari H, 2017, GEOPHYS RES LETT, V44, P11914, DOI 10.1002/2017GL076116
   Moftakhari HR, 2015, GEOPHYS RES LETT, V42, P9846, DOI 10.1002/2015GL066072
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   NCDC, 2021, BILL DOLL WEATH CLIM
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Neumann JE, 2015, CLIMATIC CHANGE, V131, P97, DOI 10.1007/s10584-013-1037-4
   Nicholls RJ, 1999, GLOBAL ENVIRON CHANG, V9, pS69, DOI 10.1016/S0959-3780(99)00019-9
   Patricola CM, 2018, NATURE, V563, P339, DOI 10.1038/s41586-018-0673-2
   PECK RB, 1969, GEOTECHNIQUE, V19, P171, DOI 10.1680/geot.1969.19.2.171
   PENLAND S, 1990, J COASTAL RES, V6, P323
   Ragno E, 2018, WATER RESOUR RES, V54, P1751, DOI 10.1002/2017WR021975
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   Rosner A, 2014, WATER RESOUR RES, V50, P1928, DOI 10.1002/2013WR014561
   Sadegh M, 2015, WATER RESOUR RES, V51, P9207, DOI 10.1002/2014WR016805
   Salas JD, 2014, J HYDROL ENG, V19, P554, DOI 10.1061/(ASCE)HE.1943-5584.0000820
   Scoccimarro E, 2013, J CLIMATE, V26, P7902, DOI 10.1175/JCLI-D-12-00850.1
   Shortridge J, 2017, RELIAB ENG SYST SAFE, V159, P12, DOI 10.1016/j.ress.2016.10.017
   Spacková O, 2017, SUSTAIN RESIL INFRAS, V2, P37, DOI 10.1080/23789689.2017.1278995
   Thomas W. O., 2019, 1561 NCHRP
   Trenberth K.E., 2005, ENCY HYDROLOGICAL SC, P1, DOI [DOI 10.1002/0470848944.HSA211, 10.1002/0470848944.hsa211.]
   Trenberth KE, 2001, SCIENCE, V293, P48, DOI 10.1126/science.293.5527.48
   Vahedifard F., 2020, Geo-Strata-Geo Institute of ASCE, V24, P28
   Vahedifard F, 2020, J GEOTECH GEOENVIRON, V146, DOI 10.1061/(ASCE)GT.1943-5606.0002399
   Vahedifard F, 2017, J GEOTECH GEOENVIRON, V143, DOI 10.1061/(ASCE)GT.1943-5606.0001743
   Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955
   Wilby RL, 2012, PROG PHYS GEOG, V36, P348, DOI 10.1177/0309133312438908
   Willis Henry H., 2016, Current and Future Exposure of Infrastructure in the United States to Natural Hazards
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
NR 49
TC 0
Z9 0
U1 0
U2 4
PU AMER SOC CIVIL ENGINEERS
PI NEW YORK
PA UNITED ENGINEERING CENTER, 345 E 47TH ST, NEW YORK, NY 10017-2398 USA
SN 0895-0563
BN 978-0-7844-8369-5
J9 GEOTECH SP
PY 2021
VL 329
BP 267
EP 277
PG 11
WC Engineering, Geological; Geography, Physical; Geosciences,
   Multidisciplinary
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Engineering; Physical Geography; Geology
GA BS8OD
UT WOS:000774216000026
DA 2025-01-10
ER

PT J
AU Vo, HTM
   van Halsema, G
   Seijger, C
   Dang, NK
   Dewulf, A
   Hellegers, P
AF Hoang Thi Minh Vo
   van Halsema, Gerardo
   Seijger, Chris
   Nhan Kieu Dang
   Dewulf, Art
   Hellegers, Petra
TI Political agenda-setting for strategic delta planning in the Mekong
   Delta: converging or diverging agendas of policy actors and the Mekong
   Delta Plan?
SO JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
LA English
DT Article
DE Mekong Delta Plan; Multiple Streams Approach; strategic delta planning;
   political agenda-setting; convergence or alignment; endorsement;
   divergence
ID STREAMS MODEL
AB This article uses the lens of the Multiple Streams Approach to explore whether the agendas set by political actors in Vietnam converged with the agenda set in the Mekong Delta Plan (MDP). The MDP presents policy choices for the development of the Vietnamese Mekong Delta. The plan offers economically attractive, climate adaptive and environmentally sustainable paths forward in the face of climate change and economic uncertainties. We collected our data using qualitative techniques, including a literature review and interviews. We found convergence between the MDP's agenda and political actors' agendas, though divergences were also detected. Between the delivery of the MDP in 2013 and formal endorsement of its ideas in 2017, the problem stream, policy stream and politics stream were brought together by the actions of "policy entrepreneurs" (scientists and experts). Our findings suggest that agenda-setting and convergence were a crucial step towards endorsement of the strategic delta planning process for the Mekong Delta. Further research could explore issues of power mobilization in enabling or constraining decision-making.
C1 [Hoang Thi Minh Vo; van Halsema, Gerardo; Hellegers, Petra] Wageningen Univ, Water Resources Management Grp, Wageningen, Netherlands.
   [Hoang Thi Minh Vo] Ho Chi Minh City Univ Sci, VNU, HCM, Fac Environm, Ho Chi Minh City, Vietnam.
   [Seijger, Chris] IHE Delft Inst Water Educ, Integrated Water Syst & Governance Dept, Delft, Netherlands.
   [Nhan Kieu Dang] Can Tho Univ, Mekong Delta Dev Res Inst, Can Tho, Vietnam.
   [Dewulf, Art] Wageningen Univ, Publ Adm & Policy Grp, Wageningen, Netherlands.
C3 Wageningen University & Research; Vietnam National University Ho Chi
   Minh City (VNUHCM) System; VNU-HCM University of Science (VNUHCM-US);
   Vietnam National University Hanoi (VNU Hanoi) System; IHE Delft
   Institute for Water Education; Can Tho University; Wageningen University
   & Research
RP Vo, HTM (corresponding author), Wageningen Univ, Water Resources Management Grp, Wageningen, Netherlands.; Vo, HTM (corresponding author), Ho Chi Minh City Univ Sci, VNU, HCM, Fac Environm, Ho Chi Minh City, Vietnam.
EM vo.thiminhhoang@wur.nl
RI van halsema, gerardo/B-7062-2015; Dewulf, Art/C-1271-2010
OI Thi Minh Vo, Hoang/0000-0002-4132-5421; hellegers,
   petra/0000-0002-4134-0568
FU UDW (Urbanizing Deltas of the World) Integrated Project on Strengthening
   Strategic Delta Planning Processes in Bangladesh, the Netherlands,
   Vietnam and beyond, of the Netherlands Organization for Scientific
   Research (NWO) [W 07.69.106]
FX This research was funded by the UDW (Urbanizing Deltas of the World)
   Integrated Project on Strengthening Strategic Delta Planning Processes
   in Bangladesh, the Netherlands, Vietnam and beyond, of the Netherlands
   Organization for Scientific Research (NWO) under Project number W
   07.69.106.
CR Anthony EJ, 2015, SCI REP-UK, V5, DOI 10.1038/srep14745
   Baumgartner F., 2014, THEORIES POLICY PROC, VThird, P59
   Baumgartner F. R., 2001, Policy Dynamics Introduction: Positive and Negative Feedback in Politics
   Beland Daniel., 2016, The Role and Impact of the Multiple-Streams Approach in Comparative Policy Analysis
   Benedikter S., 2014, VIETNAMESE HYDROCRAC, V25
   Biggs D., 2009, Contested waterscapes in the Mekong region: Hydropower, livelihoods and governance, P203
   BIGGS DA, 2004, THESIS
   Biggs DavidA., 2012, Quagmire: Nation-Building and Nature in the Mekong Delta
   Boeije H., 2010, ANAL QUALITATIVE RES
   Cairney P, 2016, POLICY STUD J, V44, P37, DOI 10.1111/psj.12111
   Chow A., 2014, J PUBLIC ADM GOVERNA, V4, P49, DOI DOI 10.5296/JPAG.V4I2.5184
   Hoanh CT, 2014, INT J WATER GOV, V2, P61, DOI 10.7564/14-IJWG59
   Cloete F., 2006, IMPROVING PUBLIC POL, VSecond
   COHEN MD, 1972, ADMIN SCI QUART, V17, P1, DOI 10.2307/2392088
   Conway T., 2004, Politics and the PRSP Approach: Vietnam case study
   Friedman J., 2004, PLANNING THEORY PRAC, V5, P49, DOI [10.1080/1464935042000185062, DOI 10.1080/1464935042000185062]
   Guldbrandsson K, 2009, HEALTH PROMOT INT, V24, P434, DOI 10.1093/heapro/dap033
   Healey P, 2004, INT J URBAN REGIONAL, V28, P45, DOI 10.1111/j.0309-1317.2004.00502.x
   Nguyen HH, 2016, REG ENVIRON CHANGE, V16, P2303, DOI 10.1007/s10113-016-0941-3
   Hoanh C. T., 2003, Water Policy, V5, P475
   HUITEMA D, 2010, ECOLOGY AND SOCIETY, V15, P10
   Huitema D, 2009, ECOL SOC, V14
   HUYNH TPL, 2015, STATE SOC INTERACTIO
   John P, 2003, POLICY STUD J, V31, P481, DOI 10.1111/1541-0072.00039
   Jones MD, 2016, POLICY STUD J, V44, P13, DOI 10.1111/psj.12115
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Krippendorff K., 2018, CONTENT ANAL INTRO I
   Liu XS, 2010, POLICY STUD J, V38, P69, DOI 10.1111/j.1541-0072.2009.00345.x
   MU R, 2018, SUSTAINABILITY BASEL, V10
   Olesen K, 2017, EUR PLAN STUD, V25, P978, DOI 10.1080/09654313.2017.1296936
   Princen S, 2009, PALGRAVE STUD EUR UN, P1, DOI 10.1057/9780230233966
   Rawat P, 2016, POLITICS POLICY, V44, P608, DOI 10.1111/polp.12168
   *ROYAL HASKONINGDH, 2013, MEK DELT PLAN LONG T
   SANH N, 1998, HIST FUTURE FARMING
   Seijger C, 2017, J ENVIRON PLANN MAN, V60, P1485, DOI 10.1080/09640568.2016.1231667
   SEIJGER C, 2017, DO STRATEGIC DELTA P
   Smajgl A, 2015, NAT CLIM CHANGE, V5, P167, DOI [10.1038/NCLIMATE2469, 10.1038/nclimate2469]
   Teodorovic J, 2008, ZB INST PEDAGOG ISTR, V40, P22, DOI 10.2298/ZIPI0801022T
   *VIETN GOV, 2016, DEC NO 593 QD TTG PI
   Vormoor K., 2010, ZEF Working Paper Series
   Zahariadis N., 2003, AMBIGUITY CHOICE PUB
   Zahariadis N., 1999, Theories of the Policy Process. Theoretical lenses on Public Policy
   Zahariadis N., 2017, The Routledge Handbook of European Public Policy, P54
   Zahariadis N, 2008, J EUR PUBLIC POLICY, V15, P514, DOI 10.1080/13501760801996717
   Zahariadis Nikolaos., 2016, Handbook of Public Policy Agenda Setting
   Zohlnhöfer R, 2016, J COMP POLICY ANAL, V18, P243, DOI 10.1080/13876988.2015.1095428
NR 46
TC 16
Z9 16
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 0964-0568
EI 1360-0559
J9 J ENVIRON PLANN MAN
JI J. Environ. Plan. Manag.
PY 2019
VL 62
IS 9
SI SI
BP 1454
EP 1474
DI 10.1080/09640568.2019.1571328
EA APR 2019
PG 21
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA JE2QD
UT WOS:000465978600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Berger, T
   Troost, C
AF Berger, Thomas
   Troost, Christian
TI Agent-based Modelling of Climate Adaptation and Mitigation Options in
   Agriculture
SO JOURNAL OF AGRICULTURAL ECONOMICS
LA English
DT Article
DE Bioeconomic models; climate change; mathematical programming;
   multi-agent systems; simulation
ID LAND-USE; MULTIAGENT SYSTEMS; STRUCTURAL-CHANGE; SIMULATION-MODELS;
   DECISION-MAKING; FOOD SECURITY; UNCERTAINTY; MANAGEMENT; POLICIES;
   DYNAMICS
AB Computer simulation models can provide valuable insights for climate-related analysis and help streamline policy interventions for improved adaptation and mitigation in agriculture. Computable general equilibrium (CGE) and partial equilibrium (PE) models are currently being expanded to include land-use change and energy markets so that the effects of various policy measures on agricultural production can be assessed. Agent-based modelling (ABM) or multi-agent systems (MAS) have been suggested as a complementary tool for assessing farmer responses to climate change in agriculture and how these are affected by policies. MAS applied to agricultural systems draw on techniques used for Recursive Farm Programming, but include models of all individual farms, their spatial interactions and the natural environment. In this article, we discuss the specific insights MAS provide for developing robust policies and land-use strategies in response to climate change. We show that MAS are well-suited for uncertainty analysis and can thereby complement existing simulation approaches to advance the understanding and implementation of effective climate-related policies in agriculture.
C1 [Berger, Thomas; Troost, Christian] Univ Hohenheim, Inst Agr Econ & Social Sci Trop & Subtrop, Stuttgart, Germany.
C3 University Hohenheim
RP Berger, T (corresponding author), Univ Hohenheim, Inst Agr Econ & Social Sci Trop & Subtrop, Stuttgart, Germany.
EM i490d@uni-hohenheim.de
RI Berger, Thomas/I-7931-2012
OI Troost, Christian/0000-0003-4626-7117; Berger,
   Thomas/0000-0003-3316-9614
FU Deutsche Forschungsgemeinschaft (DFG) [FOR-1695]
FX Thanks are due to David Harvey and two anonymous referees for their most
   helpful comments. Funding by Deutsche Forschungsgemeinschaft (DFG) under
   FOR-1695 is gratefully acknowledged.
CR Acosta-Michlik L, 2008, GLOBAL ENVIRON CHANG, V18, P554, DOI 10.1016/j.gloenvcha.2008.08.006
   An L, 2005, ANN ASSOC AM GEOGR, V95, P54, DOI 10.1111/j.1467-8306.2005.00450.x
   Anita W., 2010, Climate change and agriculture impacts, adaptation and Mitigation: Impacts, adaptation and Mitigation
   [Anonymous], 18 WORLD IMACS MODSI
   [Anonymous], 2008, Global sensitivity analysis: the primer
   [Anonymous], CLIMATE CHANGE DRIVE
   Anton J., 2012, OECD Food, Agriculture and Fisheries Papers, DOI DOI 10.1787/5K94D6FX5BD8-EN
   Aurbacher J, 2013, AGR SYST, V119, P44, DOI 10.1016/j.agsy.2013.04.005
   Balmann A, 1997, EUR REV AGRIC ECON, V24, P85, DOI 10.1093/erae/24.1.85
   Banse M, 2008, EUR REV AGRIC ECON, V35, P117, DOI 10.1093/erae/jbn023
   Beckman J, 2012, EUR REV AGRIC ECON, V39, P137, DOI 10.1093/erae/jbr041
   Becu N, 2003, ECOL MODEL, V170, P319, DOI 10.1016/S0304-3800(03)00236-9
   Berger T, 2006, AGR SYST, V88, P28, DOI 10.1016/j.agsy.2005.06.002
   Berger T., 2002, Quarterly Journal of International Agriculture, V41, P119
   Berger T, 2001, AGR ECON-BLACKWELL, V25, P245, DOI 10.1111/j.1574-0862.2001.tb00205.x
   Berger T., 2010, 2010 INT C ENV MOD S
   Berger T, 2006, ECOL SOC, V11
   Berger T, 2007, WATER RESOUR MANAG, V21, P129, DOI 10.1007/s11269-006-9045-z
   Beven K, 2001, J HYDROL, V249, P11, DOI 10.1016/S0022-1694(01)00421-8
   Bharwani S, 2005, PHILOS T R SOC B, V360, P2183, DOI 10.1098/rstb.2005.1742
   Bousquet F., 2001, J ARTIF SOC SOC SIMU, V4
   Bowman J. L, 2009, TRAFFIC ENG CONTROL, V49, P342
   Britz W, 2011, AGR ECOSYST ENVIRON, V142, P102, DOI 10.1016/j.agee.2009.11.003
   Burrell A., 2010, P WORKSH AGR AD CLIM
   Campo PC, 2010, ENVIRON MODELL SOFTW, V25, P1302, DOI 10.1016/j.envsoft.2010.01.005
   Campo PC, 2009, J ENVIRON MANAGE, V90, P3607, DOI 10.1016/j.jenvman.2009.06.016
   Castella JC, 2005, ECOL SOC, V10
   Castella JC, 2005, AGR SYST, V86, P312, DOI 10.1016/j.agsy.2004.11.001
   Cattaneo A., 2011, CLIMATE CHANGE AGR L
   D'Aquino P, 2003, JASSS-J ARTIF SOC S, V6
   Dawid H, 2006, HANDB ECON, V13, P1235
   Ettema D, 2011, COMPUT ENVIRON URBAN, V35, P1, DOI 10.1016/j.compenvurbsys.2010.06.005
   Filatova T., 2011, AGRIC RESOUR ECON RE, V40, P405, DOI [10.1017/S1068280500002860, DOI 10.1017/S1068280500002860]
   Filatova T, 2009, CAN J AGR ECON, V57, P431, DOI 10.1111/j.1744-7976.2009.01164.x
   Freeman T, 2013, AGR SYST, V115, P129, DOI 10.1016/j.agsy.2012.09.004
   Freeman T, 2009, CAN J AGR ECON, V57, P537, DOI 10.1111/j.1744-7976.2009.01169.x
   Gaube V, 2009, LANDSCAPE ECOL, V24, P1149, DOI 10.1007/s10980-009-9356-6
   Gibbons JM, 2008, AGR ECOSYST ENVIRON, V127, P126, DOI 10.1016/j.agee.2008.03.010
   Gotts NM, 2009, JASSS-J ARTIF SOC S, V12
   Graubner M, 2011, AM J AGR ECON, V93, P949, DOI 10.1093/ajae/aar035
   Gross JE, 2006, ENVIRON MODELL SOFTW, V21, P1264, DOI 10.1016/j.envsoft.2005.04.024
   Hailegiorgis AtesmachewB., 2010, 2010 INT C ENV MOD S
   Happe K., 2006, Ecology and Society, V11, P49
   Happe K, 2008, J ECON BEHAV ORGAN, V67, P431, DOI 10.1016/j.jebo.2006.10.009
   Happe K, 2009, CAN J AGR ECON, V57, P497, DOI 10.1111/j.1744-7976.2009.01167.x
   Hartig F, 2011, ECOL LETT, V14, P816, DOI 10.1111/j.1461-0248.2011.01640.x
   Helton JC, 2006, RELIAB ENG SYST SAFE, V91, P1175, DOI 10.1016/j.ress.2005.11.017
   Hobbs NT, 2006, ECOL APPL, V16, P5, DOI 10.1890/04-0645
   Holden S, 2004, AGR ECON-BLACKWELL, V30, P31, DOI [10.1111/j.1574-0862.2004.tb00174.x, 10.1016/j.agecon.2002.09.001]
   Holtz G, 2012, REG ENVIRON CHANGE, V12, P95, DOI 10.1007/s10113-011-0238-5
   Janmaat J., 2010, INT ENV MOD SOFTW SO
   Janssen MA, 2011, ECOL ECON, V70, P1590, DOI 10.1016/j.ecolecon.2011.01.006
   Janssen S, 2007, AGR SYST, V94, P622, DOI 10.1016/j.agsy.2007.03.001
   Kaye-Blake W., 2010, Research Report - Agribusiness & Economics Research Unit, Lincoln University
   Le QB, 2008, ECOL INFORM, V3, P135, DOI 10.1016/j.ecoinf.2008.04.003
   Le QB, 2010, ECOL INFORM, V5, P203, DOI 10.1016/j.ecoinf.2010.02.001
   Lippert C, 2009, CLIMATIC CHANGE, V97, P593, DOI 10.1007/s10584-009-9652-9
   Lobianco A, 2010, COMPUT ELECTRON AGR, V72, P14, DOI 10.1016/j.compag.2010.02.006
   Marohn C., 2012, ENVIRON MODELL SOFTW
   Matthews R, 2006, ECOL MODEL, V194, P329, DOI 10.1016/j.ecolmodel.2005.10.032
   Mendelsohn R, 2010, AGR EC ADAPTION CLIM
   Nelson RR, 2002, J ECON PERSPECT, V16, P23, DOI 10.1257/0895330027247
   Nolan J, 2009, CAN J AGR ECON, V57, P417, DOI 10.1111/j.1744-7976.2009.01163.x
   Oberkampf WL, 2002, RELIAB ENG SYST SAFE, V75, P333, DOI 10.1016/S0951-8320(01)00120-X
   Parker D.C., 2002, AGENT BASED MODELS L
   Parker DC, 2003, ANN ASSOC AM GEOGR, V93, P314, DOI 10.1111/1467-8306.9302004
   Perez P, 2006, COMPLEX SCIENCE FOR A COMPLEX WORLD: EXPLORING HUMAN ECOSYSTEMS WITH AGENTS, P1
   Piorr A, 2009, ENVIRON SCI POLICY, V12, P1122, DOI 10.1016/j.envsci.2009.01.001
   Proto E, 2012, EXP ECON, V15, P1, DOI 10.1007/s10683-011-9285-5
   Rivington M, 2007, ENVIRON MODELL SOFTW, V22, P202, DOI 10.1016/j.envsoft.2005.07.018
   Robertson R, 2013, AM J AGR ECON, V95, P228, DOI 10.1093/ajae/aas034
   Robinson DT, 2007, J LAND USE SCI, V2, P31, DOI 10.1080/17474230701201349
   Saqalli M, 2011, AGR SYST, V104, P354, DOI 10.1016/j.agsy.2010.12.007
   Schreinemachers P, 2007, ECOL ECON, V64, P387, DOI 10.1016/j.ecolecon.2007.07.018
   Schreinemachers P, 2011, ENVIRON MODELL SOFTW, V26, P845, DOI 10.1016/j.envsoft.2011.02.004
   Schreinemachers P, 2010, AGR ECON-BLACKWELL, V41, P519, DOI 10.1111/j.1574-0862.2010.00467.x
   Schreinemachers P, 2009, CAN J AGR ECON, V57, P513, DOI 10.1111/j.1744-7976.2009.01168.x
   Smajgl A, 2011, ENVIRON MODELL SOFTW, V26, P837, DOI 10.1016/j.envsoft.2011.02.011
   SPEAR RC, 1980, WATER RES, V14, P43, DOI 10.1016/0043-1354(80)90040-8
   Tesfatsion L, 2006, HANDB ECON, V13, P831
   Troost C., 2012, P 6 INT C ENV MOD SO
   Valbuena D, 2010, LANDSCAPE ECOL, V25, P185, DOI 10.1007/s10980-009-9380-6
   van Oel PR, 2010, ENVIRON MODELL SOFTW, V25, P433, DOI 10.1016/j.envsoft.2009.10.018
   Verburg P. H., 2004, GeoJournal, V61, P309, DOI 10.1007/s10708-004-4946-y
   Walker DH, 2002, AGR SYST, V73, P113, DOI 10.1016/S0308-521X(01)00103-2
   Yalew S. G., 2010, INT ENV MOD SOFTW SO
   Ziervogel G, 2005, AGR SYST, V83, P1, DOI 10.1016/j.agsy.2004.02.009
NR 87
TC 102
Z9 118
U1 5
U2 153
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0021-857X
EI 1477-9552
J9 J AGR ECON
JI J. Agric. Econ.
PD JUN
PY 2014
VL 65
IS 2
BP 323
EP 348
DI 10.1111/1477-9552.12045
PG 26
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA AG9RZ
UT WOS:000335758500003
DA 2025-01-10
ER

PT J
AU de Tapia, EM
AF McClung de Tapia, Emily
TI HOLOCENE PALEOENVIRONMENT AND PREHISPANIC LANDSCAPE EVOLUTION IN THE
   BASIN OF MEXICO
SO ANCIENT MESOAMERICA
LA English
DT Article; Proceedings Paper
CT Seminar on Basin of Mexico Archaeology
CY SEP, 2007
CL San Miguel Ometusco, MEXICO
ID SOUTHERN NORTH AMERICA; LATE PLEISTOCENE; LATE QUATERNARY; TEOTIHUACAN
   VALLEY; CLIMATIC-CHANGE; LAKE CHALCO; POPOCATEPETL; PALYNOLOGY; RECORDS;
   CITY
AB Paleoenvironmental and geoarchaeological data generated over the past three decades for parts of the Basin of Mexico are little known among archaeologists working in the region. This paper summarizes and evaluates what is currently known about the prehistoric environment, landscape development, and human impact in the region. Archaeological evidence indicates that human activity became important in ecosystem evolution in the basin during the Middle-Late Holocene. Most traditional paleoenvironmental studies based on lake sediments, however, generalize results corresponding to this period simply as evidence for human impact. Essentially the same vegetation communities extant in the basin today appear to have been present during most of the Holocene, albeit with broader distributions and variability in secondary taxa. Recognizing potential contributions of archaeology to understanding human adaptation to climatic and ecosystemic change, past and present, should stimulate future research on paleoenvironment in the region.
C1 [McClung de Tapia, Emily] Univ Nacl Autonoma Mexico, Inst Invest Antropol, Lab Paleoetnobot & Paleoambiente, Mexico City, DF 04510, Mexico.
C3 Universidad Nacional Autonoma de Mexico
RP de Tapia, EM (corresponding author), Univ Nacl Autonoma Mexico, Inst Invest Antropol, Lab Paleoetnobot & Paleoambiente, Circuito Exterior S-N,Ciudad Univ, Mexico City, DF 04510, Mexico.
EM mcclung@unam.mx
CR Acuna-Soto R, 2005, MED HYPOTHESES, V65, P405, DOI 10.1016/j.mehy.2005.02.025
   Adriano-Moran Carmen C., 2000, THESIS
   Adriano-Morán CC, 2008, J ARCHAEOL SCI, V35, P2927, DOI 10.1016/j.jas.2008.06.001
   Alvarez del Castillo Carlos, 1984, CLIMATE CHANGE CULTU, V20
   Anderson DG., 2007, Climate Change and Cultural Dynamics: A Global Perspective on Mid-Holocene Transition, P1, DOI DOI 10.1016/B978-012088390-5.50006-6
   Arnauld Marie-Charlotte, 1994, 1994 8000 ANOS CUENC, V6, P9
   Barcena J.Garcia., 1986, 'Tlapacoya: 35,000 anos de Historia en el Lago de Chalco, Coleccion Cientifica, V115, P219
   Beramendi-Orosco LE, 2009, QUATERNARY RES, V71, P99, DOI 10.1016/j.yqres.2008.10.003
   Berres T.E., 2000, ANCIENT MESOAM, V11, P27, DOI [DOI 10.1017/S0956536100111101, 10.1017/S0956536100111101]
   Bradbury J.P., 1986, TLAPACOYA 35000 ANOS, P167
   BRADBURY JP, 1989, QUATERNARY SCI REV, V8, P75, DOI 10.1016/0277-3791(89)90022-X
   BRADBURY JP, 1971, LIMNOL OCEANOGR, V16, P180, DOI 10.4319/lo.1971.16.2.0180
   Brown RB., 1985, Pollen Records of Late-Quaternary North American Sediments, P71
   Cabadas-Baez Hector, 2004, THESIS
   Caballero M, 2001, SP PUBL INT, P247
   Caballero M, 1998, QUATERNARY RES, V50, P69, DOI 10.1006/qres.1998.1969
   Caballero M, 1999, J PALEOLIMNOL, V22, P399, DOI 10.1023/A:1008012813412
   Caballero-Miranda Maria E., 2002, PALAEOGEOGR PALAEOCL, V186, P217, DOI [10.1016/S0031-0182(02)00502-3, DOI 10.1016/S0031-0182(02)00502-3]
   Calderon de Rzedowski Graciela, 2001, 2001 FLORA FANEROGAM
   Charlton Thomas, 1972, REPORTS U IOWA
   CLISBY KH, 1955, GEOL SOC AM BULL, V66, P511, DOI 10.1130/0016-7606(1955)66[511:PISNA]2.0.CO;2
   Cordova Carlos E., 1997, THESIS
   Cordova CarlosE., 1997, Geoarchaeology: An International Journal, V12, P177
   Cowgill George C., 2015, ANCIENT TEOTIHUACAN
   de McClung E., 1977, ANALES ANTROPOLOGIA, V14, P49
   de Tapia E.McClung., 1980, Anales de Antropologia, V17, P149
   de Tapia E.McClung., 2001, Ancient Mesoamerica, V12, P113, DOI DOI 10.1017/S095653610112105X
   de Tapia E.McClung., 2000, Imperfect balance: landscape transformations in the Precolumbian Americas, P121
   de Tapia E.McClung., 2005, PRODUCTION POWER POS, P207
   de Tapia EM, 2005, RADIOCARBON, V47, P159, DOI 10.1017/S0033822200052279
   de Tapia EmilyMcClung., 1987, TEOTIHUACAN, P57
   de Tapia EmilyMcClung., 2003, Revista Mexicana de Ciencias Geologicas, V20, P270
   Deevey ES Jr, 1944, AM ANTIQUITY, V10, P135, DOI 10.2307/275110
   Foreman Frederick, 1955, GEOL SOC AM BULL, V66, P475, DOI [10.1130/0016-7606(1955)66[475:PISNA]2.0.CO;2, DOI 10.1130/0016-7606(1955)66[475:PISNA]2.0.CO;2]
   Frederick C.D., 2005, PRODUCTION POWER POS, P71
   Frederick Charles D., 1997, LANDSCAPE CHAN UNPUB
   Gamio Manuel, 1922, POBLACION VALLE TEOT, V1
   Garcia E, 1974, INVEST GEOGRAFICAS, V5, P35
   Gonzalez Q.L., 1980, Memorias del III Coloquio sobre paleobotanica y palinologia, P113
   González-Arqueros ML, 2013, SPAN J SOIL SCI, V3, P201
   Gonzalez-Quintero L., 1986, Tlapacoya: 35,000 anos de historia del Lago de Chalco, P157
   GUNN J, 1981, WORLD ARCHAEOL, V13, P87, DOI 10.1080/00438243.1981.9979816
   Heine K., 1987, Striae: a monograph series for Quaternary studies, V26, P51
   Heine Klaus., 2003, Revista Mexicanda de Ciencias Geologicas, V20, P235
   Kovar A., 1970, TEOTIHUACAN VALLEY P, VI, P13
   Lachniet MS, 2012, GEOLOGY, V40, P259, DOI 10.1130/G32471.1
   Lorenzo Jose Luis, 1986, TLAPACOYA 35000 ANOS
   Lorenzo Jose Luis, 1956, CUENCA MEXICO CONSID, P29
   Lorenzo JoseLuis., 1968, MATERIALES ARQUEOLOG, P51
   Lozano-Garcia Maria S., 1997, QUATERN INT, V43-44, P117
   Lozano-Garcia MD, 1998, REV PALAEOBOT PALYNO, V99, P77, DOI 10.1016/S0034-6667(97)00046-8
   Lozano-García S, 2005, QUATERNARY RES, V64, P70, DOI 10.1016/j.yqres.2005.02.010
   LOZANOGARCIA MD, 1994, PALAEOGEOGR PALAEOCL, V109, P177
   LOZANOGARCIA MS, 1993, QUATERNARY RES, V40, P332, DOI 10.1006/qres.1993.1086
   Manzanilla Linda, 1985, MESOAMERICA CTR MEXI, P133
   Martinez-Rios Luis Angel Y., 2014, THESIS
   McClung de Tapia E, 1978, ANALES ANTROPOLOGIA, VXV, P53
   de Tapia EM, 2012, SURVIVING SUDDEN ENVIRONMENTAL CHANGE: UNDERSTANDING HAZARDS, MITIGATING IMPACTS, AVOIDING DISASTERS, P143
   McClung de Tapia Emily, 2012, B SOC GEOLOGICA MEXI, V64, P161
   McClung de Tapia Emily, 1993, ANATOMIA CONJUNTO HA, P693
   McClung de Tapia Emily, 2008, INTERDISCIPLINARY NU, V1870, P67
   Metcalfe S, 2007, CLIMATIC CHANGE, V83, P169, DOI [10.1007/s10584-006-9152-0, 10.1007/sl0584-006-9152-0]
   Metcalfe Sarah E., 1989, GEOARCHAEOLOGY, V4, P119, DOI [10.1002/gea.3340040203, DOI 10.1002/GEA.3340040203]
   Metcalfe Sarah E., 1994, 48 U OXF SCH GEOGR
   Metcalfe Sarah E., 1992, INGENIERIA HIDRAULIC, V7, P107
   Metcalfe SE, 2000, QUATERNARY SCI REV, V19, P699, DOI 10.1016/S0277-3791(99)00022-0
   MILLON R, 1970, SCIENCE, V170, P1077, DOI 10.1126/science.170.3962.1077
   Mooser Frederico, 1956, CUENCA MEXICO CONSID
   Morehart CT, 2010, J ANTHROPOL ARCHAEOL, V29, P94, DOI 10.1016/j.jaa.2009.10.005
   Nichols D., 1993, EC ASPECTS WATER MAN, P123
   Nichols DeborahL., 1987, TEOTIHUACAN, P133
   Nichols DeborahL., 1991, ANCIENT MESOAM, V2, P119, DOI DOI 10.1017/S0956536100000432
   NIEDERBERGER C, 1979, SCIENCE, V203, P131, DOI 10.1126/science.203.4376.131
   Niederberger Christine, 1987, COLLECTION ETUDES ME
   Niederberger Christine, 1976, COLECCION CIENTIFICA, V30
   OHARA SL, 1993, NATURE, V362, P48, DOI 10.1038/362048a0
   Ortega-Guerrero B, 1998, QUATERNARY RES, V50, P90, DOI 10.1006/qres.1998.1975
   Parsons Jeffery R., 1982, MUSEUM ANTHR MEMOIR, V14
   Perez- Perez Julia, 2003, THESIS
   Plunket P, 2008, J VOLCANOL GEOTH RES, V170, P111, DOI 10.1016/j.jvolgeores.2007.09.012
   Plunket P, 2006, QUATERN INT, V151, P19, DOI 10.1016/j.quaint.2006.01.012
   Ramsey CB, 2009, RADIOCARBON, V51, P337, DOI 10.1017/S0033822200033865
   Rene MILLON., 1973, URBANIZATION TEOTIHU, V1
   Rivera-Uria Ma. Yazmín, 2007, Bol. Soc. Geol. Mex, V59, P203, DOI 10.18268/bsgm2007v59n2a5
   Roy PD, 2009, GEOCHEM J, V43, P49, DOI 10.2343/geochemj.1.0006
   Ruben Cabrera, 2005, ARQUIT URBAN, P121
   RZEDOWSH J., 1964, AN ESCUELA NAC CIENC BIOL MEX, V13, P31
   Rzedowski J., 1954, ANALES ESCUELA NACL, V8, P59
   Rzedowski Jerzy, 1977, MEMORIA OBRAS SISTEM, V1, P79
   Rzedowski Jerzy., 2001, Flora Fanerogamica del Valle de Mexico, P32
   Rzedowski Jerzy, 1978, VEGETACION MEXICO
   Rzedowski Jerzy., 1957, B SOC BOT MEX, V21, P19
   Sánchez-Pérez S, 2013, GEOARCHAEOLOGY, V28, P249, DOI 10.1002/gea.21439
   Sanders Wiliam T., 1965, CULTURAL ECOLOGY TEO
   Sanders William T., 1979, ECOLOGICAL PROCESSES
   Sanders WilliamT., 1981, Supplement to the Handbook of Middle American Indians, Volume, VI, P147
   Sandoval-Montano Aida, 2000, THESIS
   Sears Paul B., 1951, 29 INT C AM, V1, P57
   Sears Paul B., 1952, GEOL SOC AM BULL, V63, P241, DOI [10.1130/0016-7606(1952)63[241:PISNAI]2.0.CO;2, DOI 10.1130/0016-7606(1952)63[241:PISNAI]2.0.CO;2]
   SEARS PB, 1955, GEOL SOC AM BULL, V66, P521, DOI 10.1130/0016-7606(1955)66[521:PISNA]2.0.CO;2
   Sedov S, 2010, GEOMORPHOLOGY, V122, P309, DOI 10.1016/j.geomorph.2009.09.003
   Siebe C, 2000, J VOLCANOL GEOTH RES, V104, P45, DOI 10.1016/S0377-0273(00)00199-2
   Skopyk Bradley D., 2015, B MONUMENTO IN PRESS, V32
   Solleiro E., 2004, HOMENAJE JAIME LITVA, P63
   Solleiro-Rebolledo E, 2011, QUATERN INT, V233, P40, DOI 10.1016/j.quaint.2010.08.005
   Solleiro-Rebolledo E, 2006, QUATERN INT, V156, P13, DOI 10.1016/j.quaint.2006.05.003
   Solleiro-Rebolledo E, 2015, B SOC GEOL MEX, V67, P255, DOI 10.18268/BSGM2015v67n2a9
   Sosa-Najera Susana M., 2001, THESIS
   Thomas Charlton, 1990, MESOAMERICAN RES C, V1, P201
   Torquemada Fray Juan de, 1975, MONARQUIA INDIANA
   Vázquez-Selem L, 2004, DEV QUA SCI, V2, P233
   Velez-Saldana Nadia, 2001, THESIS
   Wanner H, 2008, QUATERNARY SCI REV, V27, P1791, DOI 10.1016/j.quascirev.2008.06.013
   WATTS WA, 1982, QUATERNARY RES, V17, P56, DOI 10.1016/0033-5894(82)90045-X
   Zeevaert Ludger, 1953, 4 INQUA C ROM PIS IT
NR 115
TC 4
Z9 6
U1 0
U2 9
PU CAMBRIDGE UNIV PRESS
PI NEW YORK
PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA
SN 0956-5361
EI 1469-1787
J9 ANCIENT MESOAM
JI Anc. Mesoam.
PD FAL
PY 2015
VL 26
IS 2
BP 375
EP 389
DI 10.1017/S0956536115000243
PG 15
WC Archaeology
WE Arts &amp; Humanities Citation Index (A&amp;HCI); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Archaeology
GA DA3WE
UT WOS:000367730000009
DA 2025-01-10
ER

PT J
AU Dobes, L
AF Dobes, Leo
TI Sir Sidney Kidman: Australia's cattle king as a pioneer of adaptation to
   climatic uncertainty
SO RANGELAND JOURNAL
LA English
DT Article
DE adaptation; climate change; diversification; drought; rangelands; real
   options; market risk
ID REAL OPTIONS; VARIABILITY
AB There is little direct evidence about the business model used by the legendary cattle king, Sir Sidney Kidman. Kidman's properties were invariably stocked at less than full capacity, and were generally contiguous, forming chains that straddled stock routes and watercourses in the most arid zone of central Australia. Railheads at the ends of the chains provided access to the main capital city markets, and Kidman's drovers supplied a wealth of information on competing cattle movements. This combination of features effectively afforded strategic transport flexibility in the form of so-called 'real options', especially during severe region-wide droughts. Alternative perspectives, such as the vertical integration of Kidman's operations, or spatial diversification of land holdings, offer only partial insights. Faced with a highly variable and unpredictable climate, combined with the onset of erosion and the spread of rabbits, Kidman exemplifies human ability to adapt creatively to exogenous environmental shocks such as climate change.
C1 Australian Natl Univ, Crawford Sch Econ & Govt, Canberra, ACT 0200, Australia.
C3 Australian National University
RP Dobes, L (corresponding author), Australian Natl Univ, Crawford Sch Econ & Govt, GPO Box 4, Canberra, ACT 0200, Australia.
EM Leo.Dobes@anu.edu.au
OI Dobes, Leo/0000-0002-9395-5660
CR [Anonymous], 1901, W DIVISION NEWS S 1
   [Anonymous], 2007, Real Options Theory
   Australian Town and Country Journal, 1898, AIAA GUID NAV CONTR, P10
   Australian Town and Country Journal, 1906, AUSTR TOWN COUN 0919, P8
   Australian Town and Country Journal, 1902, AUSTR TOWN COUN 0322, P24
   Barrier Miner, 1908, BARRIER MINER   0401, P3
   Barrier Miner, 1916, BARRIER MINER   0729, P6
   Barrier Miner, 1895, BARRIER MINER   0308, P3
   Bassino JP, 2010, AUST ECON HIST REV, V50, P1, DOI 10.1111/j.1467-8446.2009.00268.x
   Bowen J., 1987, KIDMAN FORGOTTEN KIN
   Brealey R.A., 2011, Principles of Corporate Finance
   Coghlan T. A., 1899, WEALTH PROGR NEW S W
   Coleman L, 2007, JASSA, P16
   COPELAND T.V. ANTIKAROV., 2001, REAL OPTIONS PRACTIT
   Denholm Z., 1967, WEALTH PROGR STUDIES, P130
   Dobes L, 2008, AGENDA, V15, P55
   Gentilli J., 1972, Australian Climate Patterns
   Goold M., 1993, ACAD MANAGE EXEC, V7, P7, DOI [10.5465/ame.1993.9411302341, DOI 10.5465/AME.1993.9411302341]
   Gregory JW, 1906, DEAD HEART AUSTR JOU
   Idriess I. L., 1936, CATTLE KING STORY S
   Markowitz H, 1952, J FINANC, V7, P77, DOI 10.1111/j.1540-6261.1952.tb01525.x
   Maxwell I., 1962, FEALTY APOLLO ANTHOL
   McAllister RRJ, 2009, J ARID ENVIRON, V73, P338, DOI 10.1016/j.jaridenv.2008.10.007
   National Museum of Australia, 2010, YIW KUJ CANN STOC K
   Peck H. H., 1972, MEMOIRS STOCKMAN
   Pockley F. J. A., 1933, FLIGHT DUCKS
   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]
   Purves WilliamK., 1992, LIFE SCI BIOL
   Royal Commission on Abattoirs and Meatworks (Queensland), 1945, INQ PROP EST ADD AB
   Royal Commission on the Pastoral Industry, 1927, REP ROYAL COMM PAST
   SCHWARTZ ES, 1994, J FINANC, V49, P1924, DOI 10.2307/2329279
   Smith MS, 2008, RANGELAND J, V30, P15, DOI 10.1071/RJ07052
   South Australian Register, 1896, S AUSTR REGISTE 0521, P4
   Stewart D., 1971, AUSTR BUSH BALLADS
   Stokes C., 2009, ENHANCING UTILISING
   The Advertiser, 1934, ADVERTISER      0630, P27
   The Advertiser, 1906, ADVERTISER      0906, P9
   The Advertiser, 1925, ADVERTISER      0206, P13
   The Argus, 1920, ARGUS           0114, P16
   The Australian Pastoral Directory, 1935, LIST STOCK STAT NEW
   The Cairns Post, 1928, CAIRNS POST     1026, P5
   The Pastoral Review, 1935, PASTORAL REV
   The Queenslander, 1918, QUEENSLANDER    1221, P35
   The Queenslander, 1918, QUEENSLANDER    0413, P13
   The Sydney Morning Herald, 1921, SYDNEY MORNING  0608, P12
   The Sydney Morning Herald, 1935, SYDNEY MORNING  0828, P13
   van Bekkum S, 2009, RES POLICY, V38, P1150, DOI 10.1016/j.respol.2009.03.009
   Van Etten EJB, 2009, AUST GEOGR, V40, P109, DOI 10.1080/00049180802657075
   Willey K., 1982, DROVERS
   Wooding R, 2008, ANZSOG MONOGR, P57
   Young M. D., 1984, Management of Australia's rangelands., P333
NR 51
TC 2
Z9 2
U1 0
U2 6
PU CSIRO PUBLISHING
PI CLAYTON
PA UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10, CLAYTON, VIC
   3168, AUSTRALIA
SN 1036-9872
EI 1834-7541
J9 RANGELAND J
JI Rangeland J.
PY 2012
VL 34
IS 1
BP 1
EP 15
DI 10.1071/RJ11045
PG 15
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 900IL
UT WOS:000300880300001
DA 2025-01-10
ER

PT J
AU Gibbs, MT
AF Gibbs, Mark T.
TI Oceanographic-informed coral out-planting density for coral reef
   restoration activities
SO RESTORATION ECOLOGY
LA English
DT Article; Early Access
DE climate adaptation; coral gardening; coral reef interventions;
   oceanography; reef restoration
ID SMALL-SCALE TURBULENCE; ENCOUNTER RATES; LARVAL FISH; CONTACT RATES;
   PLANKTON; CALM; PREY; ZOOPLANKTON; BEHAVIOR; WIND
AB Out-planting corals onto coral reefs as a mechanism to increase coral cover on degraded reef systems is an increasing global activity. Current practices typically focus on asexual out-planting of coral fragments (coral gardening). Newer sexual reproductive approaches are being developed to out-plant younger corals produced in aquaculture facilities or sea-based rearing pools to enable assisted evolution or assisted gene flow conservation genetics approaches. Designing out-planting deployment operations requires decisions to be made on planting density and location in order to maximize future recruitment on both the out-planted reefs, and on nearby reefs that are connected through oceanographic transport processes. The thinking presented here seeks to unpack how out-planting density may be influenced, especially by local oceanographic conditions, in order to guide practitioners undertaking restoration projects.
C1 [Gibbs, Mark T.] Australian Inst Marine Sci, Townsville, Australia.
C3 Australian Institute of Marine Science
RP Gibbs, MT (corresponding author), Australian Inst Marine Sci, Townsville, Australia.
EM m.gibbs@aims.gov.au
CR Bayraktarov E, 2016, ECOL APPL, V26, P1055, DOI 10.1890/15-1077
   Beiring EA, 2000, MAR ECOL PROG SER, V196, P169, DOI 10.3354/meps196169
   Boström-Einarsson L, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0226631
   Browman HI, 1996, MAR ECOL PROG SER, V139, P309, DOI 10.3354/meps139309
   Chaput R, 2019, J THEOR BIOL, V482, DOI 10.1016/j.jtbi.2019.08.018
   DAVIS CS, 1991, J MAR RES, V49, P109, DOI 10.1357/002224091784968602
   Dower JF, 1997, ADV MAR BIOL, V31, P169, DOI 10.1016/S0065-2881(08)60223-0
   Foster T, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-68289-4
   GERRITSEN J, 1977, J FISH RES BOARD CAN, V34, P73, DOI 10.1139/f77-008
   Gibbs MT, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01843-6
   Gibbs MT, 2016, MAR POLLUT BULL, V113, P62, DOI 10.1016/j.marpolbul.2016.08.044
   Gleason DF, 2011, J EXP MAR BIOL ECOL, V408, P42, DOI 10.1016/j.jembe.2011.07.025
   Good AM, 2021, SN APPL SCI, V3, DOI 10.1007/s42452-021-04319-8
   Hardesty P., 2020, If we can put a man on the moon we can save the great barrier reef. The Conversation
   HILL PS, 1992, J MAR RES, V50, P643, DOI 10.1357/002224092784797539
   Hoegh-Guldberg O, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00158
   Hughes TP, 2017, NATURE, V546, P82, DOI 10.1038/nature22901
   Kiorboe T, 1995, J PLANKTON RES, V17, P2319, DOI 10.1093/plankt/17.12.2319
   KIORBOE T, 1995, MAR ECOL PROG SER, V122, P135, DOI 10.3354/meps122135
   Kiorboe T, 1997, SCI MAR, V61, P141
   Lewis DM, 2001, J THEOR BIOL, V210, P347, DOI 10.1006/jtbi.2001.2310
   MacKenzie BR, 1995, LIMNOL OCEANOGR, V40, P1278, DOI 10.4319/lo.1995.40.7.1278
   MACKENZIE BR, 1991, MAR ECOL PROG SER, V73, P149, DOI 10.3354/meps073149
   McLeod IM, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0273325
   Osborn T, 1996, MAR ECOL PROG SER, V139, P302, DOI 10.3354/meps139302
   Possingham HP, 2015, PLOS BIOL, V13, DOI 10.1371/journal.pbio.1002052
   Prober SM, 2019, ECOL MONOGR, V89, DOI 10.1002/ecm.1333
   Randall CJ, 2023, RESTOR ECOL, V31, DOI 10.1111/rec.13745
   ROTHSCHILD BJ, 1988, J PLANKTON RES, V10, P465, DOI 10.1093/plankt/10.3.465
   Seuront L, 2001, DEEP-SEA RES PT I, V48, P1199, DOI 10.1016/S0967-0637(00)00089-3
   Shafir S, 2006, MAR BIOL, V149, P679, DOI 10.1007/s00227-005-0236-6
   Spalding AK., 2023, NPJ Ocean Sustain, V2, P1, DOI [DOI 10.1038/S44183-023-00015-9, 10.1038/s44183-023-00015-9]
   Tanaka M, 2021, LIMNOL OCEANOGR, V66, P855, DOI 10.1002/lno.11646
   Teo A, 2018, CORAL REEFS, V37, P891, DOI 10.1007/s00338-018-1715-9
   van Woesik R, 2010, P R SOC B, V277, P715, DOI 10.1098/rspb.2009.1524
   Visser AW, 1998, MAR ECOL PROG SER, V166, P307, DOI 10.3354/meps166307
   Wang GC, 2021, CHEM ENG SCI, V229, DOI 10.1016/j.ces.2020.116133
   Yamazaki H, 1996, MAR ECOL PROG SER, V144, P299, DOI 10.3354/meps144299
   Zhang YH, 2020, OCEAN ENG, V218, DOI 10.1016/j.oceaneng.2020.108216
NR 39
TC 0
Z9 0
U1 6
U2 6
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 2024 OCT 23
PY 2024
DI 10.1111/rec.14317
EA OCT 2024
PG 5
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA J6P2V
UT WOS:001338260900001
OA Bronze
DA 2025-01-10
ER

PT J
AU Lin, YJ
   Yeh, CH
   Wu, CZ
   Wu, LH
AF Lin, Yu-Jen
   Yeh, Ching-Hong
   Wu, Chen-Zhe
   Wu, Li-Hsin
TI Climate and <i>Wolbachia</i> Impacts on <i>Anoplolepis gracilipes</i>
   (Hymenoptera: Formicidae)
SO BIOLOGY-BASEL
LA English
DT Article
DE MaxEnt; cumulative precipitation; climate adaptation; terrestrial
   biological invasion
ID INVASIVE FIRE ANT; CRAZY ANT; RANGE EXPANSION; SYMBIONTS; INFECTION;
   MAXIMUM; SPREAD; SPACE; SHIFT
AB The yellow crazy ant (Anoplolepis gracilipes (Smith, 1857)) is a prominent invasive species exhibiting variable population dynamics. Through collecting long-term climate data and validating field surveys with MaxEnt SDM projections, our results indicated that winter temperature and precipitation accumulation strongly influence the population dynamics. An aggression analysis showed that A. gracilipes nests with higher aggression levels (over 2.5 scores) experienced a higher mean maximum temperature (31.84 +/- 0.43 degrees C) and lower prevalence of wAgra (84.8 +/- 4.70%) in A. gracilipes from June to October. The nest manipulation and aggression experiments confirmed that temperature increases aggression (1.3 to 2.8 scores) among A. gracilipes workers due to the reduced prevalence of wAgra. To the best of our knowledge, this is the first case of a notable reduction in the prevalence of Wolbachia (100 to 66%) within a colony of A. gracilipes while maintaining stable nests for further experiments.
C1 [Lin, Yu-Jen; Yeh, Ching-Hong; Wu, Chen-Zhe; Wu, Li-Hsin] Natl Pingtung Univ Sci & Technol, Dept Plant Med, Pingtung 91201, Taiwan.
C3 National Pingtung University Science & Technology
RP Wu, LH (corresponding author), Natl Pingtung Univ Sci & Technol, Dept Plant Med, Pingtung 91201, Taiwan.
EM lihsinwuu@mail.npust.edu.tw
RI Wu, Li-Hsin/I-8535-2019
OI Wu, Li-Hsin/0000-0001-8176-3533
FU Ministry of Science and Technology, Taiwan, MOS
FX We are grateful to the scientists who conducted and published their
   primary studies, two anonymous editors, and reviewers for their
   constructive comments on the manuscript.
CR Angulo E, 2022, BIOL INVASIONS, V24, P2041, DOI 10.1007/s10530-022-02791-w
   Araújo MB, 2006, J BIOGEOGR, V33, P1677, DOI 10.1111/j.1365-2699.2006.01584.x
   Avtaeva T, 2021, DIVERSITY-BASEL, V13, DOI 10.3390/d13110559
   Bertelsmeier C, 2016, MYRMECOL NEWS, V22, P25
   Bertelsmeier C, 2015, BIODIVERS CONSERV, V24, P117, DOI 10.1007/s10531-014-0794-3
   Calenge C, 2006, ECOL MODEL, V197, P516, DOI 10.1016/j.ecolmodel.2006.03.017
   Charlesworth J, 2019, BIOL LETTERS, V15, DOI 10.1098/rsbl.2019.0273
   Chen S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122310182
   Cheng DF, 2019, PLOS PATHOG, V15, DOI 10.1371/journal.ppat.1007942
   Cooling M, 2012, BIOL LETTERS, V8, P430, DOI 10.1098/rsbl.2011.1014
   Corbin C, 2017, HEREDITY, V118, P10, DOI 10.1038/hdy.2016.71
   Dunn RR, 2009, ECOL LETT, V12, P324, DOI 10.1111/j.1461-0248.2009.01291.x
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   Hague MTJ, 2020, MBIO, V11, DOI 10.1128/mBio.01768-20
   HAINES IH, 1978, ECOL ENTOMOL, V3, P109, DOI 10.1111/j.1365-2311.1978.tb00909.x
   Hedges LM, 2008, SCIENCE, V322, P702, DOI 10.1126/science.1162418
   Heller NE, 2008, OECOLOGIA, V155, P385, DOI 10.1007/s00442-007-0911-z
   Hill MP, 2014, AUSTRAL ECOL, V39, P469, DOI 10.1111/aec.12105
   Hirzel AH, 2002, ECOLOGY, V83, P2027, DOI 10.1890/0012-9658(2002)083[2027:ENFAHT]2.0.CO;2
   Hoffmann BD, 2010, BIOL INVASIONS, V12, P3093, DOI 10.1007/s10530-010-9701-3
   Hsu HW, 2019, INSECTS, V10, DOI 10.3390/insects10120436
   Jia FX, 2009, ENVIRON ENTOMOL, V38, P1365, DOI 10.1603/022.038.0503
   Jung Jae-Min, 2017, Journal of Asia-Pacific Biodiversity, V10, P548
   Kiritani K, 2013, APPL ENTOMOL ZOOL, V48, P97, DOI 10.1007/s13355-012-0158-y
   Kolay S, 2015, SCI REP-UK, V5, DOI 10.1038/srep13716
   Kriticos DJ, 2012, METHODS ECOL EVOL, V3, P53, DOI 10.1111/j.2041-210X.2011.00134.x
   Lee CC, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8101569
   Lee CY, 2022, ANNU REV ENTOMOL, V67, P43, DOI 10.1146/annurev-ento-033121-102332
   Lee WH, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app122010260
   Lemoine MM, 2020, CURR OPIN INSECT SCI, V39, P14, DOI 10.1016/j.cois.2020.01.003
   Mertl AL, 2009, BIOTROPICA, V41, P633, DOI 10.1111/j.1744-7429.2009.00520.x
   Mooney H.A., 2005, Invasive Alien Species: A New Synthesis, V3rd ed., P59
   Morrison LW, 2005, DIVERS DISTRIB, V11, P199, DOI 10.1111/j.1366-9516.2005.00142.x
   Morrison LW, 2004, BIOL INVASIONS, V6, P183, DOI 10.1023/B:BINV.0000022135.96042.90
   Pearce J, 2000, ECOL MODEL, V133, P225, DOI 10.1016/S0304-3800(00)00322-7
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Pontieri L, 2017, J EVOLUTION BIOL, V30, P225, DOI 10.1111/jeb.13012
   PubMLST, US
   Richard FJ, 2017, FRONT ECOL EVOL, V5, DOI 10.3389/fevo.2017.00143
   Rödder D, 2009, GLOBAL ECOL BIOGEOGR, V18, P674, DOI 10.1111/j.1466-8238.2009.00477.x
   Rohrscheib CE, 2015, APPL ENVIRON MICROB, V81, P4573, DOI 10.1128/AEM.00573-15
   Russell JA, 2012, MYRMECOL NEWS, V16, P7
   Sebastien A, 2012, INSECT SOC, V59, P33, DOI 10.1007/s00040-011-0184-8
   Singh R, 2020, J EXP BIOL, V223, DOI 10.1242/jeb.220079
   Sprenger PP, 2018, J EXP BIOL, V221, DOI 10.1242/jeb.171488
   Suarez Andrew V., 1999, Biological Invasions, V1, P43, DOI 10.1023/A:1010038413690
   Team RC, 2021, R LANGUAGE ENV STAT
   Tseng SP, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8060805
   Wang L, 2016, J ASIA-PAC ENTOMOL, V19, P981, DOI 10.1016/j.aspen.2016.07.019
   Warren RJ, 2020, BIOL INVASIONS, V22, P813, DOI 10.1007/s10530-019-02133-3
   Warren RJ, 2013, GLOBAL CHANGE BIOL, V19, P2082, DOI 10.1111/gcb.12169
   Wenseleers T, 1998, P ROY SOC B-BIOL SCI, V265, P1447, DOI 10.1098/rspb.1998.0456
   Werren JH, 2008, NAT REV MICROBIOL, V6, P741, DOI 10.1038/nrmicro1969
   Zhou WG, 1998, P ROY SOC B-BIOL SCI, V265, P509, DOI 10.1098/rspb.1998.0324
NR 54
TC 0
Z9 0
U1 3
U2 5
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2079-7737
J9 BIOLOGY-BASEL
JI Biology-Basel
PD DEC
PY 2023
VL 12
IS 12
AR 1482
DI 10.3390/biology12121482
PG 14
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA EA2V8
UT WOS:001136124700001
PM 38132308
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Hirsch, E
AF Hirsch, Eric
TI Forced Emplacement Flood Exposure and Contested Confinements, from the
   Colony to Climate Migration
SO ENVIRONMENT AND SOCIETY-ADVANCES IN RESEARCH
LA English
DT Article
DE climate adaptation; climate mobility; colonialism; environmental
   justice; flooding; immobilization; infrastructure
ID SETTLER COLONIALISM; MOBILITY; POLITICS; DISPLACEMENT
AB As intensifying floods and other climate extremes proliferate, narratives of unidirectional climate migration have become ubiquitous in media coverage and policy debates. This article reviews new scholarship that attends to an underreported dimension of climate change impact exposure. Emerging conversations in Indigenous climate justice research, mobility studies, and critical urban adaptation scholarship seek to understand why so many marginalized communities find themselves immobilized in the face of climate extremes. I argue that these scholars are building a concept of forced emplacement to politicize and historicize the uneven distribution of climate harms. Drawing on this scholarship and brief ethnographic sketches from my work in Peru and the Maldives, I follow forced emplacement across diverse case studies that root devastating immobilizations from flooding in local histories of colonial confinement, unevenly policed mobility, and varied efforts to control marginalized populations. I also illuminate how climate-exposed communities contest adaptation projects that reproduce their immobilization.
C1 [Hirsch, Eric] Franklin & Marshall Coll, Environm Studies, Lancaster, PA 17603 USA.
C3 Franklin & Marshall College
RP Hirsch, E (corresponding author), Franklin & Marshall Coll, Environm Studies, Lancaster, PA 17603 USA.
EM eric.hirsch@fandm.edu
CR Adey Peter., 2006, MOBILITIES-UK, V1, P75, DOI [10.1080/17450100500489080, DOI 10.1080/17450100500489080]
   Ahuja Neel., 2021, Planetary Specters: Race, Migration, and Climate Change in the Twenty-First Century
   Altamirano Teofilo., 1984, Presencia andina en Lima metropolitana: un estudio sobre migrantes y clubes de provincianos
   Anand Nikhil., 2017, HYDRAULIC CITY WATER
   [Anonymous], 2022, US COASTLINE SEE FOO
   Asif Aishath Razan, 2019, Avas
   Babb FE, 2022, LAT AM CARIBB ETHN S, V17, P12, DOI 10.1080/17442222.2020.1809080
   Baker Aryn., 2015, Time
   Baldwin A, 2019, MOBILITIES-UK, V14, P289, DOI 10.1080/17450101.2019.1620510
   Besteman Catherine., 2016, MAKING REFUGE SOMALI
   Bettini G, 2013, GEOFORUM, V45, P65, DOI 10.1016/j.geoforum.2012.09.009
   Bhandar B, 2018, Global Insurgent Leg, P1
   Black R, 2013, ENVIRON SCI POLICY, V27, pS32, DOI 10.1016/j.envsci.2012.09.001
   Boas I, 2022, J ETHN MIGR STUD, V48, P3365, DOI 10.1080/1369183X.2022.2066264
   Campanella Richard., 2010, Delta Urbanism: New Orleans
   Campbell JeremyM., 2015, Culture, Place, and Nature: Studies in Anthropology and Environment
   Caramanica A, 2020, P NATL ACAD SCI USA, V117, P24127, DOI 10.1073/pnas.2006519117
   Carpio G, 2022, MOBILITIES-UK, V17, P179, DOI 10.1080/17450101.2021.2004078
   Chayya, 2022, BASE Blueprint for Basements Press Conference
   Checker M, 2011, CITY SOC, V23, P210, DOI 10.1111/j.1548-744X.2011.01063.x
   Clark N, 2017, SOCIOL REV, V65, P36, DOI 10.1177/0081176917711078
   Climate Action Lab, 2019, A People's Climate Plan for New York City?
   Cohen Daniel Aldana, 2018, Climate Justice and the Right to the City
   Cowen D, 2020, URBAN GEOGR, V41, P469, DOI 10.1080/02723638.2019.1677990
   Crist Eileen., 2019, Abundant Earth. Toward an Ecological Civilization
   Crosby AlfredW., 1986, ECOLOGICAL IMPERIALI, DOI 10.1017/CBO9780511805554
   Curley A, 2021, ENVIRON PLANN D, V39, P387, DOI 10.1177/0263775821991537
   Davies Richard, 2021, FloodList
   Dawson Ashley., 2017, Extreme Cities: The Peril and Promise of Urban Life in the Age of Climate Change
   Douglas Mary., 2002, Purity and Danger: An Analysis of Concepts of Pollution and Taboo
   Durand-Delacre D, 2022, J ETHN MIGR STUD, V48, P3397, DOI 10.1080/1369183X.2022.2066260
   El-Shaarawi N, 2021, AM ETHNOL, V48, P404, DOI 10.1111/amet.13048
   Environmental Justice Foundation, 2009, No Place Like Home-Where Next for Climate Refugees?
   Eubanks Virginia, 2016, My Drowning City Is a Harbinger of Climate Slums to Come
   Farbotko C, 2022, J ETHN MIGR STUD, V48, P3380, DOI 10.1080/1369183X.2022.2066259
   Feldman Ilana., 2018, LIFE LIVED RELIEF HU, DOI DOI 10.7591/CORNELL/9781501709203.001.0001
   Flowers CC, 2021, NATURE, V597, P449, DOI 10.1038/d41586-021-02520-8
   Foresight, 2011, Final Project Report
   Ghosh Amitav., 2016, GREAT DERANGEMENT CL
   Goh K., 2021, FORM FLOW SPATIAL PO
   Goodell Jeff, 2018, ROLLING STONE
   Gotham KevinFox., 2014, Crisis Cities: Disaster and Redevelopment in New York and New Orleans
   Grove JV, 2019, SAVAGE ECOLOGY, P1
   GUPTA A, 1992, CULT ANTHROPOL, V7, P6, DOI 10.1525/can.1992.7.1.02a00020
   Gutierrez GM, 2021, ENVIRON SOC, V12, P66, DOI 10.3167/ares.2021.120105
   Hansen Terri, 2019, Indian Country Today
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   HARRIS CI, 1993, HARVARD LAW REV, V106, P1707, DOI 10.2307/1341787
   Hirsch E, 2018, J LAT AM CARIBB ANTH, V23, P189, DOI 10.1111/jlca.12260
   Hirsch E, 2015, GLOBAL ENVIRON CHANG, V35, P190, DOI 10.1016/j.gloenvcha.2015.09.008
   Hirsch Eric., 2022, Acts of Growth: Development and the Politics of Abundance in Peru
   Hogan Gwynne, 2021, Gothamist
   HOMERDIXON TF, 1991, INT SECURITY, V16, P76, DOI 10.2307/2539061
   Jean Charles Choctaw Nation, 2022, Press Release: The Jean Charles Choctaw Nation: Tribal-Guided and Led, Whole Community Resettlement and Cultural Preservation
   KIMBRO RT, 2022, TOO DEEP CLASS MOTHE
   Koslov L, 2016, PUBLIC CULTURE, V28, P359, DOI 10.1215/08992363-3427487
   Ley, 2021, BUILDING BORROWED TI
   Lowe Lisa., 2015, The Intimacy of the Four Continents
   Lustgarten Abrahm., 2020, NEW YORK TIMES MAGAZ
   Maldives Independent, 2015, Maldives Independent
   Maldonado JulieKoppel., 2019, SEEKING JUSTICE ENER
   Manrique Nelson., 1985, Colonialismo y Pobreza Campesina. Caylloma y el Valle del Colca
   Marino E, 2015, FIERCE CLIMATE SACRED GROUND: AN ETHNOGRAPHY OF CLIMATE CHANGE IN SHISHMAREF, ALASKA, P1
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P374, DOI 10.1016/j.gloenvcha.2011.09.016
   Mountz Alison., 2020, The death of asylum: Hidden geographies of the enforcement archipelago
   Nail T, 2019, MOBILITIES-UK, V14, P375, DOI 10.1080/17450101.2019.1609200
   Nichols R, 2023, BIOPOLITICS, GEOPOLITICS, LIFE, P85
   Pandian Anand, 2022, The Guardian
   Quijano A, 2024, Decoloniality, P256
   Rafael VincenteL., 1993, CONTRACTING COLONIAL
   Raker EJ, 2020, DEMOGRAPHY, V57, P653, DOI 10.1007/s13524-020-00862-y
   Ramírez IJ, 2017, INT J DISAST RISK SC, V8, P489, DOI 10.1007/s13753-017-0151-8
   Ranganathan M, 2021, ANTIPODE, V53, P115, DOI 10.1111/anti.12555
   Rice JL, 2020, INT J URBAN REGIONAL, V44, P145, DOI 10.1111/1468-2427.12740
   Ristroph EB, 2021, J ENVIRON STUD SCI, V11, P329, DOI 10.1007/s13412-021-00711-3
   Roy A, 2011, PLAN THEOR, V10, P6, DOI 10.1177/1473095210386065
   Rubaii Kali, 2016, Engagement Blog (blog)September 20
   Schiller NG, 2013, J ETHN MIGR STUD, V39, P183, DOI 10.1080/1369183X.2013.723253
   Shearer C., 2012, Race, Gender Class, V19, P61
   Shearer Christine., 2011, KIVALINA CLIMATE CHA
   Sheller Mimi., 2018, MOBILITY JUSTICE POL
   Simpson A., 2014, Mohawk Interruptus, DOI DOI 10.1215/9780822376781
   Simpson M, 2022, PROG HUM GEOG, V46, P1311, DOI 10.1177/03091325221114115
   Singh Julietta., 2018, UNTHINKING MASTERY D
   Smallwood S., 2008, SALTWATER SLAVERY MI
   Smith M., 2019, The New York Times
   Spencer Ben, 2014, Daily Mail
   Spice A, 2018, ENVIRON SOC, V9, P40, DOI 10.3167/ares.2018.090104
   Suliman S, 2019, MOBILITIES-UK, V14, P298, DOI 10.1080/17450101.2019.1601828
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Tier Melissa, 2021, Journal of Public & International Affairs
   Todd Zoe, 2017, Engagement (blog)April 11
   Urry J., 2007, Mobilities
   VAUGHN S, 2022, ENG VULNERABILITY PU
   Vaughn SE, 2021, ANNU REV ANTHROPOL, V50, P275, DOI 10.1146/annurev-anthro-101819-110241
   Vince Vince Gaia. Gaia., 2022, Nomad Century: How Climate Migration Will Reshape Our World, VFirst First
   Wall Kimmerer R., 2013, Braiding Sweetgrass
   Watt-Cloutier Sheila., 2018, The Right to Be Cold: One Womans Fight to Protect the Arctic and Save the Planet from Climate Change
   Weiss L., 2018, NACLA REPORT AM, V50, P109, DOI DOI 10.1080/10714839.2018.1479417
   Wennersten JohnR., 2017, Rising Tides: Climate Refugees in the Twenty-First Century
   Wernke StevenA., 2013, Negotiated Settlements: Andean Communities and Landscapes under Inka and Spanish Colonialism
   Whyte K., 2017, Humanities for the Environment: Integrating Knowledges, Forging New Constellations of Practice, P88
   Whyte K, 2019, MOBILITIES-UK, V14, P319, DOI 10.1080/17450101.2019.1611015
   Whyte K, 2018, ENVIRON SOC, V9, P125, DOI 10.3167/ares.2018.090109
   Wolfe P, 2006, J GENOCIDE RES, V8, P387, DOI 10.1080/14623520601056240
   Zaveri M., 2021, NEW YORK TIMES
   Zickgraf C, 2022, J ETHN MIGR STUD, V48, P3450, DOI 10.1080/1369183X.2022.2066263
NR 107
TC 0
Z9 0
U1 8
U2 13
PU BERGHAHN JOURNALS
PI BROOKLYN
PA 20 JAY ST, SUITE 512, BROOKLYN, NY 11201 USA
SN 2150-6779
EI 2150-6787
J9 ENVIRON SOC
JI Environ. Soc.
PD SEP
PY 2023
VL 14
IS 1
BP 4
EP 22
DI 10.3167/ares.2023.140102
PG 19
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA Z1WS2
UT WOS:001110059800003
OA gold
DA 2025-01-10
ER

PT J
AU Lehnert, M
   Geletic, J
   Jurek, M
AF Lehnert, Michal
   Geletic, Jan
   Jurek, Martin
TI Traditional and novel approaches to studying the human thermal
   environment in urban areas: A critical review of the current state of
   the art
SO GEOGRAFIE
LA English
DT Article
DE urban climate; urban heat island; thermal exposure; thermal comfort;
   thermal sensation
ID LOCAL CLIMATE ZONES; HEAT-ISLAND; AIR-TEMPERATURE; MODEL; COMFORT;
   SURFACE; SYSTEM; CITY; SIMULATION; STRESS
AB Traditional approaches to research-ing the urban thermal environment focus on identifying the specific manifestations of the local climate and microclimate within urban structures and various types of urban development, and on detecting urban heat islands using meteorological station data, mobile measurements, remote sensing, and (micro)climatic modelling. Nonetheless, current manifestations of climate change and its projections into the future bring the need for the effective climatic adaptation of urban environments. Current research focuses on approaches allowing for a more complex assessment of both the thermal and overall environment of people in towns and cities. This requires numerical modelling in high spatial resolution and large questionnaire surveys. Despite many unanswered theoretical and methodological questions, the approaches to and knowledge of the human urban thermal environment demonstrate growing application potential.
C1 [Lehnert, Michal; Jurek, Martin] Palacky Univ, Fac Sci, Dept Geog, Olomouc, Czech Republic.
   [Geletic, Jan] Czech Acad Sci, Dept Complex Syst, Inst Comp Sci, Prague, Czech Republic.
   [Geletic, Jan] Czech Acad Sci, Global Change Res Inst, Brno, Czech Republic.
C3 Palacky University Olomouc; Czech Academy of Sciences; Institute of
   Computer Science of the Czech Academy of Sciences; Czech Academy of
   Sciences; Global Change Research Centre of the Czech Academy of Sciences
RP Lehnert, M (corresponding author), Palacky Univ, Fac Sci, Dept Geog, Olomouc, Czech Republic.
EM m.lehnert@upol.cz; geletic@cs.cas.cz; martin.jurek@upol.cz
RI Lehnert, Michal/V-2649-2019; Jurek, Martin/A-1785-2017; Geletic,
   Jan/U-9763-2018
OI Geletic, Jan/0000-0002-0904-3133
FU Faculty of Science, Palacky University Olomouc [IGA_PrF_2023_019]
FX This work was supported by the Faculty of Science, Palacky University
   Olomouc internal grant IGA_PrF_2023_019 - Time in urban and regional
   environmental research: rhythmicity and continuity.
CR [Anonymous], 2008, GUIDE METEOROLOGICAL, V7th
   [Anonymous], 2019, Landsat 8 (L8) Data Users Handbook, LSDS-1574
   [Anonymous], 1972, METEOROLOGICKE ZPRAV
   [Anonymous], 2005, Ergonomics of the thermal environment _ Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria
   [Anonymous], 1996, ZBORNIK PRAC SHMU
   [Anonymous], 2016, US GEOLOGICAL SURVEY
   [Anonymous], 77261998 ISO
   [Anonymous], 2012, PODNEBI OLOMOUCE
   [Anonymous], 2017, ASHRAE STANDARD 55 2
   [Anonymous], 2004, 9886 CSN EN ISO
   Aubrechtova T, 2019, URBANISMUS UZEMNI RO, V22, P4
   Bell S, 2015, WEATHER, V70, P75, DOI 10.1002/wea.2316
   Blazejczyk K, 2014, ERDE, V145, P16
   Bokwa A, 2019, ENERG BUILDINGS, V201, P53, DOI 10.1016/j.enbuild.2019.07.023
   Brazel AJ, 2017, CAN GEOGR-GEOGR CAN, V61, P112, DOI 10.1111/cag.12351
   Brisudová L, 2020, J MAPS, V16, P203, DOI 10.1080/17445647.2020.1844087
   BRUSE M., 2021, ENVI MET 30 UPDATED
   Chapman L, 2017, INT J CLIMATOL, V37, P3597, DOI 10.1002/joc.4940
   Chen L, 2012, CITIES, V29, P118, DOI 10.1016/j.cities.2011.08.006
   Ching J, 2018, B AM METEOROL SOC, V99, P1907, DOI 10.1175/BAMS-D-16-0236.1
   CHLAPCOVA L., 2021, METEOROLOGICKE ZPRAV, V74, P113
   Chui AC, 2018, URBAN CLIM, V24, P51, DOI 10.1016/j.uclim.2017.12.009
   Cohen P, 2019, BUILD ENVIRON, V160, DOI 10.1016/j.buildenv.2019.106169
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Hirashima SQD, 2016, BUILD ENVIRON, V107, P245, DOI 10.1016/j.buildenv.2016.08.006
   DOBROVOLNY P., 2012, KLIMA BRNA V CE ROV
   Dobrovolny P, 2015, MORAV GEOGR REP, V23, P8, DOI 10.1515/mgr-2015-0013
   Feranec J, 2019, GEOGRAFIE-PRAGUE, V124, P83, DOI 10.37040/geografie2019124010083
   Fiala D, 2012, INT J BIOMETEOROL, V56, P429, DOI 10.1007/s00484-011-0424-7
   Fröhlich J, 2008, PROG AEROSP SCI, V44, P349, DOI 10.1016/j.paerosci.2008.05.001
   Gaitani N, 2017, BUILD ENVIRON, V121, P215, DOI 10.1016/j.buildenv.2017.05.027
   Garuma GF, 2018, URBAN CLIM, V24, P830, DOI 10.1016/j.uclim.2017.10.006
   GELETIC J., 2020, URBANISMUS UZEMNF RO, V23, P17
   Geletic J, 2019, CLIMATIC CHANGE, V152, P487, DOI 10.1007/s10584-018-2353-5
   Geletic J, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8100788
   Havenith G, 2012, INT J BIOMETEOROL, V56, P461, DOI 10.1007/s00484-011-0451-4
   Höppe P, 1999, INT J BIOMETEOROL, V43, P71, DOI 10.1007/s004840050118
   Howe J., 2006, Wired Mag., V14, P1, DOI DOI 10.1086/599595
   Hoyano A, 1999, ATMOS ENVIRON, V33, P3941, DOI 10.1016/S1352-2310(99)00136-3
   Jendritzky G, 2012, INT J BIOMETEOROL, V56, P421, DOI 10.1007/s00484-011-0513-7
   Kantor N., 2007, ACTA UNIVERSITATIS S, V40-41, P47
   Kantor N., 2016, Hung Geogr Bull, V65, P139, DOI [DOI 10.15201/HUNGEOBULL.65.2.5, 10.15201/hungeobull.65.2.5]
   Kántor N, 2011, CENT EUR J GEOSCI, V3, P90, DOI 10.2478/s13533-011-0010-x
   Kleerekoper L, 2012, RESOUR CONSERV RECY, V64, P30, DOI 10.1016/j.resconrec.2011.06.004
   Knez I, 2009, INT J BIOMETEOROL, V53, P101, DOI 10.1007/s00484-008-0194-z
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Krayenhoff ES, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8020108
   Krc P, 2021, GEOSCI MODEL DEV, V14, P3095, DOI 10.5194/gmd-14-3095-2021
   Kristofova K, 2022, LAND USE POLICY, V114, DOI 10.1016/j.landusepol.2021.105949
   Krüger E, 2013, THEOR APPL CLIMATOL, V112, P127, DOI 10.1007/s00704-012-0724-9
   Lehnert M, 2023, LANDSCAPE URBAN PLAN, V233, DOI 10.1016/j.landurbplan.2023.104713
   Lehnert M, 2021, BUILD ENVIRON, V203, DOI 10.1016/j.buildenv.2021.108090
   Lehnert M, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10040260
   Lehnert M, 2021, INT J BIOMETEOROL, V65, P1277, DOI 10.1007/s00484-020-02010-y
   Lehnert M, 2018, CLIM RES, V75, P53, DOI 10.3354/cr01508
   Lenzholzer S, 2018, URBAN CLIM, V23, P231, DOI 10.1016/j.uclim.2016.10.003
   Lenzholzer S, 2013, LANDSCAPE URBAN PLAN, V113, P120, DOI 10.1016/j.landurbplan.2013.02.003
   Lorencová EK, 2019, CLIMATE, V7, DOI 10.3390/cli7050061
   MANOLI G., 2020, PREPRINT, DOI [10.31219/osf.io/mwpna, DOI 10.31219/OSF.IO/MWPNA]
   Manoli G, 2019, NATURE, V573, P55, DOI 10.1038/s41586-019-1512-9
   Maronga B, 2020, GEOSCI MODEL DEV, V13, P1335, DOI 10.5194/gmd-13-1335-2020
   Martilli A, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100541
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Matzarakis A, 1999, INT J BIOMETEOROL, V43, P76, DOI 10.1007/s004840050119
   Matzarakis A., 1996, WHO NEWS, V18, P7
   Mayer H, 2008, METEOROL Z, V17, P241, DOI 10.1127/0941-2948/2008/0285
   Meier F, 2017, URBAN CLIM, V19, P170, DOI 10.1016/j.uclim.2017.01.006
   Melhuish E., 1998, WEATHER, V4, P121
   Middel A, 2019, SCI TOTAL ENVIRON, V687, P137, DOI 10.1016/j.scitotenv.2019.06.085
   Mills G, 2022, PROG PHYS GEOG, V46, P649, DOI 10.1177/03091333221107212
   MILOSEVIC D., 2022, EMS ANN M 2022 BONN, DOI [10.5194/ems2022-59, DOI 10.5194/EMS2022-59]
   Muller CL, 2013, B AM METEOROL SOC, V94, P1161, DOI 10.1175/BAMS-D-12-00096.1
   Muller CL, 2013, INT J CLIMATOL, V33, P1585, DOI 10.1002/joc.3678
   Murakami S, 1999, J WIND ENG IND AEROD, V81, P57, DOI 10.1016/S0167-6105(99)00009-4
   Musy M, 2015, URBAN CLIM, V14, P213, DOI 10.1016/j.uclim.2015.07.004
   Naughton J, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11141722
   Nikolopoulou M, 2001, SOL ENERGY, V70, P227, DOI 10.1016/S0038-092X(00)00093-1
   Oke T.R., 2004, INITIAL GUIDANCE OBT
   Oke TR, 1987, BOUNDARY LAYER CLIMA, DOI [10.4324/9780203407219, DOI 10.4324/9780203407219]
   Oncley SP, 2009, J ATMOS OCEAN TECH, V26, P462, DOI 10.1175/2008JTECHA1158.1
   OSN, 2022, WORLD URB PROSP 2018
   Parsons K., 2014, Human thermal environments: The effects of hot, moderate, and cold environments on human health, comfort, and performance, DOI [10.1201/b16750, DOI 10.1201/B16750]
   Pearlmutter D, 2014, INT J BIOMETEOROL, V58, P2111, DOI 10.1007/s00484-014-0812-x
   Potchter O, 2018, SCI TOTAL ENVIRON, V631-632, P390, DOI 10.1016/j.scitotenv.2018.02.276
   Pour T, 2019, EUR J REMOTE SENS, V52, P209, DOI 10.1080/22797254.2018.1564888
   RAO PK, 1972, B AM METEOROL SOC, V53, P647
   Resler J, 2021, GEOSCI MODEL DEV, V14, P4797, DOI 10.5194/gmd-14-4797-2021
   Resler J, 2017, GEOSCI MODEL DEV, V10, P3635, DOI 10.5194/gmd-10-3635-2017
   Rod JK, 2021, URBAN SCI, V5, DOI 10.3390/urbansci5010014
   Rosenzweig C., 2018, CLIMATE CHANGE CITIE, DOI DOI 10.1017/9781316563878.013
   Santamouris M, 2001, SOL ENERGY, V70, P201, DOI 10.1016/S0038-092X(00)00095-5
   SAVIC S., 2021, 5 SERB C GEOGR INN A
   Schmidt KJ, 2014, URBAN ECOSYST, V17, P427, DOI 10.1007/s11252-013-0319-y
   Schnell I, 2021, COMPUT ENVIRON URBAN, V86, DOI 10.1016/j.compenvurbsys.2020.101589
   Schnell I, 2016, ENVIRON POLLUT, V208, P58, DOI 10.1016/j.envpol.2015.08.040
   Secerov I, 2015, GEOGR PANNONICA, V19, P174, DOI 10.5937/GeoPan1504174S
   Shooshtarian S, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101495
   Sievers U., 2012, Berichte des Deutschen Wetterdienstes
   Skarbit N, 2015, 2015 JOINT URBAN REMOTE SENSING EVENT (JURSE)
   Stepánek P, 2009, ADV SCI RES, V3, P23
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Stewart ID, 2011, INT J CLIMATOL, V31, P200, DOI 10.1002/joc.2141
   Stewart ID, 2019, URBAN CLIM, V30, DOI 10.1016/j.uclim.2019.100484
   Stredova H, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10100704
   Suter I, 2022, GEOSCI MODEL DEV, V15, P5309, DOI 10.5194/gmd-15-5309-2022
   Thorsson S, 2004, INT J BIOMETEOROL, V48, P149, DOI 10.1007/s00484-003-0189-8
   TOMAS M., 2010, GEOGRAFIE PROZIVOT 2
   Tsin PK, 2016, URBAN CLIM, V18, P58, DOI 10.1016/j.uclim.2016.10.001
   Unger J, 2001, ATMOS RES, V58, P117, DOI 10.1016/S0169-8095(01)00087-4
   Urad vlady Ceske republiky, 2017, STRAT RAM CESK REP 2
   Urban A, 2022, URBAN CLIM, V44, DOI 10.1016/j.uclim.2022.101197
   USGS, 2022, LANDS 8 9 COLL 2 C2
   Valenzuela A, 2022, INT J APPL EARTH OBS, V114, DOI 10.1016/j.jag.2022.103051
   Vanos JK, 2021, INT J BIOMETEOROL, V65, P967, DOI 10.1007/s00484-021-02131-y
   Voogt JA, 1998, THEOR APPL CLIMATOL, V60, P199, DOI 10.1007/s007040050044
   Voogt JA, 1998, INT J REMOTE SENS, V19, P895, DOI 10.1080/014311698215784
   Yoshida A, 2015, URBAN CLIM, V14, P240, DOI 10.1016/j.uclim.2015.09.004
   Zak M, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100681
NR 118
TC 2
Z9 2
U1 7
U2 32
PU CZECH GEOGRAPHIC SOC
PI PRAGUE 2
PA CHARLES UNIV, DEPT SOC GEOGRAPHY & REGIONAL DEV, FAC SCIENCE, ALBERTOV
   6, PRAGUE 2, 128 43, CZECH REPUBLIC
EI 1212-0014
J9 GEOGRAFIE-PRAGUE
JI Geografie
PY 2023
VL 128
IS 3
BP 351
EP 377
DI 10.37040/geografie.2023.012
PG 27
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA L6LM9
UT WOS:001024358400005
OA gold
DA 2025-01-10
ER

PT J
AU di Corato, L
   Ginbo, T
AF di Corato, Luca
   Ginbo, Tsegaye
TI CLIMATE CHANGE AND COFFEE FARM RELOCATION IN ETHIOPIA: A REAL-OPTIONS
   APPROACH
SO CLIMATE CHANGE ECONOMICS
LA English
DT Article
DE Real-options; coffee farms; climate adaptation; relocation
ID CHANGE ADAPTATION; ARABICA; AFFORESTATION; LAND
AB Climate change and emerging pests and diseases may negatively affect coffee yields and revenues in Ethiopian regions at low altitudes. Hence, the relocation of coffee farms to regions at higher altitudes has been suggested in order to assure sustainability and resilience for Ethiopian coffee production. In this paper, we study how sunk establishment costs, uncertain net returns and policy-induced incentives may affect the timing and value of a coffee farm relocation. This is done by developing a real-options model taking into account the relevant drivers of the farmer's decision to relocate. We then present an empirical analysis examining a hypothetical relocation. We show that relocation is a rather attractive opportunity even though the presence of volatile net returns and relatively high establishment costs may induce its postponement. Thus, we determine the optimal amount of subsidy needed in order to foster the relocation process.
C1 [di Corato, Luca] Ca Foscari Univ Venice, Dept Econ, Cannaregio 873 Fondamenta San Giobbe, I-30121 Venice, Italy.
   [Ginbo, Tsegaye] Swedish Univ Agr Sci, Dept Econ, Box 7013, S-75007 Uppsala, Sweden.
C3 Universita Ca Foscari Venezia; Swedish University of Agricultural
   Sciences
RP di Corato, L (corresponding author), Ca Foscari Univ Venice, Dept Econ, Cannaregio 873 Fondamenta San Giobbe, I-30121 Venice, Italy.
EM luca.dicorato@unive.it; tsegaye.ginbo@slu.se
RI Gatiso, Tsegaye/HMV-2886-2023
OI Gatiso, Tsegaye Ginbo/0000-0003-2450-6236; Di Corato,
   Luca/0000-0002-1023-9504
CR Abera A., 2020, Environmental Systems Research, V9, P1, DOI [10.1186/s40068-020-00164-7, DOI 10.1186/S40068-020-00164-7]
   Bebber DP, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0458
   Belay K., 2004, Journal of Rural Development (Seoul), V27, P223
   Bunn C, 2015, CLIMATIC CHANGE, V129, P89, DOI 10.1007/s10584-014-1306-x
   Calzadilla A, 2014, WATER RESOUR ECON, V5, P24, DOI 10.1016/j.wre.2014.03.001
   Cammarano D, 2019, EUR J AGRON, V106, P1, DOI 10.1016/j.eja.2019.03.002
   Carter R., 2018, Transforming agriculture for climate resilience: A framework for systemic change
   Chemura A, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-87647-4
   Danyo S., 2017, Realizing Ethiopia's Green Transformation: Country Environmental Analysis, Environment and Natural Resources Global Practice
   Deressa TT, 2009, J AFR ECON, V18, P529, DOI 10.1093/jae/ejp002
   Di Corato L, 2013, FOREST POLICY ECON, V34, P56, DOI 10.1016/j.forpol.2013.06.001
   Di Falco S, 2019, J ECON BEHAV ORGAN, V160, P40, DOI 10.1016/j.jebo.2019.02.016
   Di Falco S, 2012, ENVIRON RESOUR ECON, V52, P457, DOI 10.1007/s10640-011-9538-y
   Diro S., 2019, ETHIOPIAN J AGR SCI, V29, P13
   Dixit A, 1999, ECON J, V109, P179, DOI 10.1111/1468-0297.00426
   Dixit A, 1993, The Art of Smooth Pasting
   DOSI C, 1997, ENVIRON RESOUR ECON, V10, P285
   FAS, 2019, ET1904 FAS USDA
   FAS, 2020, ET20200004 FAS USDA
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischer G, 2005, PHILOS T R SOC B, V360, P2067, DOI 10.1098/rstb.2005.1744
   Gebrechorkos SH, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-47933-8
   Gebreselassie E, 2018, REUTERS
   Getnet K, 2017, AGR SYST, V154, P53, DOI 10.1016/j.agsy.2017.03.001
   Ginbo T, 2021, AMBIO, V50, P229, DOI 10.1007/s13280-020-01342-8
   Girma HM, 2012, FOREST POLICY ECON, V21, P101, DOI 10.1016/j.forpol.2012.01.001
   Gujarati DN, 2009, The McGraw-Hill Series
   Hein L, 2006, ECOL ECON, V60, P176, DOI 10.1016/j.ecolecon.2005.11.022
   Heumesser C, 2012, WATER RESOUR MANAG, V26, P3113, DOI 10.1007/s11269-012-0053-x
   Hirons M, 2018, GEOFORUM, V91, P108, DOI 10.1016/j.geoforum.2018.02.032
   Holden S. T., 1998, Environment and Development Economics, V3, P105, DOI 10.1017/S1355770X98000060
   Ihli HJ, 2014, AUST J AGR RESOUR EC, V58, P430, DOI 10.1111/1467-8489.12028
   Insley MC, 2010, J FOREST ECON, V16, P157, DOI 10.1016/j.jfe.2009.11.002
   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
   Jaramillo J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024528
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   King BL, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]
   KUSHALAPPA AC, 1989, ANNU REV PHYTOPATHOL, V27, P503
   Läderach P, 2017, CLIMATIC CHANGE, V141, P47, DOI 10.1007/s10584-016-1788-9
   Lundy M., 2018, IMPACT CLIMATE CHANG
   Malek K, 2018, WATER RESOUR RES, V54, P8999, DOI 10.1029/2018WR022767
   Moat J., 2017, COFFEE FARMING CLIMA
   Moat J, 2017, NAT PLANTS, V3, DOI 10.1038/nplants.2017.81
   Musshoff O, 2012, BIOMASS BIOENERG, V41, P73, DOI 10.1016/j.biombioe.2012.02.001
   Nair KPP, 2010, ELSEV INSIGHT, P181, DOI 10.1016/B978-0-12-384677-8.00006-0
   Narita D, 2014, CLIM CHANG ECON, V5, DOI 10.1142/S2010007814500134
   OCHA, 2003, RES RESP FOOD INS CA
   Ovalle-Rivera O, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0124155
   Rahn E, 2018, ECOL MODEL, V371, P76, DOI 10.1016/j.ecolmodel.2018.01.009
   Reichhuber A, 2012, ECOL ECON, V75, P102, DOI 10.1016/j.ecolecon.2012.01.006
   Sanderson T, 2016, AUST J AGR RESOUR EC, V60, P79, DOI 10.1111/1467-8489.12104
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Schroth G, 2009, MITIG ADAPT STRAT GL, V14, P605, DOI 10.1007/s11027-009-9186-5
   SCHWARTZ ES, 1994, J FINANC, V49, P1924, DOI 10.2307/2329279
   Seo S, 2008, AGR ECON-BLACKWELL, V38, P47, DOI 10.1111/j.1574-0862.2007.00280.x
   Sisay BT, 2018, SUSTAIN AGR REV, V33, P99, DOI 10.1007/978-3-319-99076-7_3
   Stage J, 2010, ANN NY ACAD SCI, V1185, P150, DOI 10.1111/j.1749-6632.2009.05168.x
   Tacoli C, 2009, ENVIRON URBAN, V21, P513, DOI 10.1177/0956247809342182
   Thorsen BJ, 1999, FOREST SCI, V45, P171
   UNDP, 2012, PROP COFF PLATF ETH
   UNDP, 2018, Climate Change Adaptation in Africa
   Yemshanov D, 2015, FOREST POLICY ECON, V50, P327, DOI 10.1016/j.forpol.2014.09.016
   Yesuf M, 2019, J AFR ECON, V28, P18, DOI 10.1093/jae/ejy010
NR 63
TC 2
Z9 2
U1 0
U2 21
PU WORLD SCIENTIFIC PUBL CO PTE LTD
PI SINGAPORE
PA 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
SN 2010-0078
EI 2010-0086
J9 CLIM CHANG ECON
JI Clim. Chang. Econ.
PD AUG
PY 2021
VL 12
IS 03
AR 2150011
DI 10.1142/S2010007821500111
EA OCT 2021
PG 28
WC Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA WN1CV
UT WOS:000703989600002
DA 2025-01-10
ER

PT J
AU Yang, JC
   Hu, LQ
   Wang, CH
AF Yang, Jiachuan
   Hu, Leiqiu
   Wang, Chenghao
TI Population dynamics modify urban residents' exposure to extreme
   temperatures across the United States
SO SCIENCE ADVANCES
LA English
DT Article
ID HEAT-RELATED MORTALITY; COLD SPELLS; WAVES; MODELS; ADAPTATION;
   EXPANSION; ISLANDS; STRESS; CITIES; HEALTH
AB Exposure to extreme temperatures is one primary cause of weather-related human mortality and morbidity. Global climate change raises the concern of public health under future extreme events, yet spatiotemporal population dynamics have been long overlooked in health risk assessments. Here, we show that the diurnal intra-urban movement alters residents' exposure to extreme temperatures during cold and heat waves. To do so, we incorporate weather simulations with commute-adjusted population profiles over 16 major U.S. metropolitan areas. Urban residents' exposure to heat waves is intensified by 1.9 degrees +/- 0.7 degrees C (mean +/- SD among cities), and their exposure to cold waves is attenuated by 0.6 degrees +/- 0.8 degrees C. The higher than expected exposure to heat waves significantly correlates with the spatial temperature variability and requires serious attention. The essential role of population dynamics should be emphasized in temperature-related climate adaptation strategies for effective and successful interventions.
C1 [Yang, Jiachuan] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China.
   [Hu, Leiqiu] Univ Alabama, Dept Atmospher & Earth Sci, Huntsville, AL 35805 USA.
   [Wang, Chenghao] Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ 85287 USA.
C3 Hong Kong University of Science & Technology; University of Alabama
   System; University of Alabama Huntsville; Arizona State University;
   Arizona State University-Tempe
RP Yang, JC (corresponding author), Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China.; Hu, LQ (corresponding author), Univ Alabama, Dept Atmospher & Earth Sci, Huntsville, AL 35805 USA.
EM cejcyang@ust.hk; leiqiu.hu@uah.edu
RI Jiachuan, Yang/ABE-5045-2020; Wang, Chenghao/O-7961-2017
OI Hu, Leiqiu/0000-0002-1867-2521; yang, jiachuan/0000-0002-3890-5628;
   Wang, Chenghao/0000-0001-8846-4130
FU Hong Kong University of Science and Technology; New Faculty Research
   Program at The University of Alabama in Huntsville, USA
FX This work was supported by the initiation grant from the Hong Kong
   University of Science and Technology and the New Faculty Research
   Program at The University of Alabama in Huntsville, USA.
CR Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Anderson BG, 2009, EPIDEMIOLOGY, V20, P205, DOI 10.1097/EDE.0b013e318190ee08
   Anderson GB, 2018, CLIMATIC CHANGE, V146, P439, DOI 10.1007/s10584-016-1776-0
   [Anonymous], 2012, MANAGING RISKS EXTRE
   [Anonymous], 2014, DEATHS ATTRIBUTED HE
   Armstrong B, 2006, EPIDEMIOLOGY, V17, P624, DOI 10.1097/01.ede.0000239732.50999.8f
   Barnett AG, 2012, ENVIRON RES, V112, P218, DOI 10.1016/j.envres.2011.12.010
   Bobb JF, 2014, ENVIRON HEALTH PERSP, V122, P811, DOI 10.1289/ehp.1307392
   Chen FF, 2011, INDISPENSABLE TRUTH: HOW FUSION POWER CAN SAVE THE PLANET, P273, DOI [10.1002/joc.2158, 10.1007/978-1-4419-7820-2_8]
   Ching J, 2009, B AM METEOROL SOC, V90, P1157, DOI 10.1175/2009BAMS2675.1
   Coccolo S, 2016, URBAN CLIM, V18, P33, DOI 10.1016/j.uclim.2016.08.004
   Dixon PG, 2005, B AM METEOROL SOC, V86, P937, DOI 10.1175/BAMS-86-7-937
   Grimmond S, 2007, GEOGR J, V173, P83, DOI 10.1111/j.1475-4959.2007.232_3.x
   Hu LQ, 2019, SCI TOTAL ENVIRON, V655, P1, DOI 10.1016/j.scitotenv.2018.11.028
   Huynen MMTE, 2001, ENVIRON HEALTH PERSP, V109, P463, DOI 10.2307/3454704
   Jones B, 2015, NAT CLIM CHANGE, V5, P652, DOI [10.1038/nclimate2631, 10.1038/NCLIMATE2631]
   Kobayashi T, 2011, PROF GEOGR, V63, P113, DOI 10.1080/00330124.2010.533565
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Krayenhoff ES, 2018, NAT CLIM CHANGE, V8, P1097, DOI 10.1038/s41558-018-0320-9
   Li D, 2013, J GEOPHYS RES-ATMOS, V118, P11918, DOI 10.1002/2013JD020657
   Li D, 2013, J APPL METEOROL CLIM, V52, P2051, DOI 10.1175/JAMC-D-13-02.1
   Ma WJ, 2015, ENVIRON RES, V137, P72, DOI 10.1016/j.envres.2014.11.016
   McGeehin MA, 2001, ENVIRON HEALTH PERSP, V109, P185, DOI 10.2307/3435008
   McKenzie B., 2010, Commuter-adjusted population estimates: ACS 2006-10
   Medina-Ramón M, 2007, OCCUP ENVIRON MED, V64, P827, DOI 10.1136/oem.2007.033175
   Meehl GA, 2004, SCIENCE, V305, P994, DOI 10.1126/science.1098704
   Mora C, 2017, NAT CLIM CHANGE, V7, P501, DOI [10.1038/nclimate3322, 10.1038/NCLIMATE3322]
   Oleson KW, 2018, CLIMATIC CHANGE, V146, P377, DOI 10.1007/s10584-015-1504-1
   Revich B, 2008, OCCUP ENVIRON MED, V65, P691, DOI 10.1136/oem.2007.033944
   Sheridan SC, 2009, NAT HAZARDS, V50, P145, DOI 10.1007/s11069-008-9327-2
   Vincent LA, 2005, J CLIMATE, V18, P5011, DOI 10.1175/JCLI3589.1
   Voorhees AS, 2011, ENVIRON SCI TECHNOL, V45, P1450, DOI 10.1021/es102820y
   Wang M, 2017, J CLIMATE, V30, P2535, DOI [10.1175/jcli-d-16-0610.1, 10.1175/JCLI-D-16-0610.1]
   Yang JC, 2018, J APPL METEOROL CLIM, V57, P1309, DOI 10.1175/JAMC-D-17-0265.1
   Yang JC, 2015, BOUND-LAY METEOROL, V155, P87, DOI 10.1007/s10546-014-9991-6
NR 35
TC 57
Z9 58
U1 22
U2 104
PU AMER ASSOC ADVANCEMENT SCIENCE
PI WASHINGTON
PA 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA
SN 2375-2548
J9 SCI ADV
JI Sci. Adv.
PD DEC
PY 2019
VL 5
IS 12
AR eaay3452
DI 10.1126/sciadv.aay3452
PG 7
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA JZ4JZ
UT WOS:000505069600080
PM 31897431
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Lo, AY
   Chow, AT
AF Lo, Alex Y.
   Chow, Alex T.
TI The relationship between climate change concern and national wealth
SO CLIMATIC CHANGE
LA English
DT Article
ID ENVIRONMENTAL CONCERN; MULTILEVEL ANALYSIS; RISK PERCEPTIONS; FLOOD
   INSURANCE; AFFLUENCE; SUPPORT
AB Based on a cross-national social survey, this paper ascertains how perception of climate change is related to national wealth and adaptive capacity across 33 countries. Results indicate that citizens of wealthier countries tend to see climate change as the most important problem, but are less likely to rank it as a highly dangerous threat. We find that Gross Domestic Product (GDP) per capita correlates positively with perceived importance of climate change, but negatively with perceived risk. Also, climate change is less likely to be seen as highly dangerous in those countries that are better prepared for climate change. These findings have important implications for climate adaptation. The relatively weaker sense of danger among the wealthiest societies may eventually lead to maladaptation to climate change. Adequate economic resources provide people collective security and protection from impending crises, but could elevate a self-assuring attitude that might prematurely reduce their caution toward the impending threat and capacity for dealing with climate uncertainties.
C1 [Lo, Alex Y.] Univ Hong Kong, Kadoorie Inst, Hong Kong, Hong Kong, Peoples R China.
   [Chow, Alex T.] Clemson Univ, Baruch Inst Coastal Ecol & Forest Sci, Georgetown, SC 29442 USA.
C3 University of Hong Kong; Clemson University
RP Lo, AY (corresponding author), Univ Hong Kong, Kadoorie Inst, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China.
EM alexloyh@hku.hk
RI Chow, Alex/S-8737-2016; Lo, Alex/B-7948-2008
OI Lo, Alex/0000-0002-5953-4176
FU Griffith Climate Change Response Program at Griffith University;
   NIFA/USDA [SC-1700489]
FX The authors thank the editors and the four anonymous reviewers of
   Climatic Change for their useful comments and suggestions. The
   generosity of the International Social Survey Programme for making the
   useful data openly available is highly appreciated. This material is
   based upon projects funded by the Griffith Climate Change Response
   Program at Griffith University and the NIFA/USDA under project number
   SC-1700489 as presented in Technical Contribution No. 6343 of the
   Clemson University Experiment Station.
CR Adeola FO, 1998, SOC NATUR RESOUR, V11, P339, DOI 10.1080/08941929809381086
   [Anonymous], 2011, Living in Denial: Climate change, emotions, and everyday life
   Bang G, 2010, ENERG POLICY, V38, P1645, DOI 10.1016/j.enpol.2009.01.045
   Brulle RJ, 2012, CLIMATIC CHANGE, V114, P169, DOI 10.1007/s10584-012-0403-y
   Bubeck P, 2012, RISK ANAL, V32, P1481, DOI 10.1111/j.1539-6924.2011.01783.x
   Climate Institute, 2012, CLIM NAT 2012 AUSTR
   Dunlap RE, 1995, J SOC ISSUES, V51, P121, DOI 10.1111/j.1540-4560.1995.tb01351.x
   Dunlap RE, 2008, SOCIOL QUART, V49, P529, DOI 10.1111/j.1533-8525.2008.00127.x
   Franzen A, 2013, GLOBAL ENVIRON CHANG, V23, P1001, DOI 10.1016/j.gloenvcha.2013.03.009
   Franzen A, 2010, EUR SOCIOL REV, V26, P219, DOI 10.1093/esr/jcp018
   Gelissen J, 2007, ENVIRON BEHAV, V39, P392, DOI 10.1177/0013916506292014
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Inglehart Ronald., 1990, CULTURAL SHIFT ADV I
   International Energy Agency, 2013, CO2 EM FUEL COMB 201
   Kim SY, 2014, GLOBAL ENVIRON POLIT, V14, P79, DOI 10.1162/GLEP_a_00215
   Kvaloy B, 2012, J PEACE RES, V49, P11, DOI 10.1177/0022343311425841
   Leiserowitz AA, 2005, RISK ANAL, V25, P1433, DOI 10.1111/j.1540-6261.2005.00690.x
   Lo AY, 2014, ENVIRON POLIT, V23, P549, DOI 10.1080/09644016.2014.884310
   Lo AY, 2013, AUST ECON REV, V46, P160, DOI 10.1111/j.1467-8462.2013.12009.x
   Lo AY, 2013, AREA, V45, P70, DOI 10.1111/area.12002
   Marquart-Pyatt ST, 2008, SOC SCI QUART, V89, P1312, DOI 10.1111/j.1540-6237.2008.00567.x
   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
   Sandvik H, 2008, CLIMATIC CHANGE, V90, P333, DOI 10.1007/s10584-008-9429-6
   Whitmarsh L, 2008, J RISK RES, V11, P351, DOI 10.1080/13669870701552235
   Whitmarsh L, 2011, GLOBAL ENVIRON CHANG, V21, P690, DOI 10.1016/j.gloenvcha.2011.01.016
NR 26
TC 55
Z9 58
U1 3
U2 36
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 JUL
PY 2015
VL 131
IS 2
BP 335
EP 348
DI 10.1007/s10584-015-1378-2
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 CL5XM
UT WOS:000357037700012
DA 2025-01-10
ER

PT J
AU Pidgeon, N
AF Pidgeon, Nick
TI Climate Change Risk Perception and Communication: Addressing a Critical
   Moment?
SO RISK ANALYSIS
LA English
DT Article
DE Climate change risks; risk communication; risk perception
ID UNCERTAIN CLIMATE; VIEWS
AB Climate change is an increasingly salient issue for societies and policy-makers worldwide. It now raises fundamental interdisciplinary issues of risk and uncertainty analysis and communication. The growing scientific consensus over the anthropogenic causes of climate change appears to sit at odds with the increasing use of risk discourses in policy: for example, to aid in climate adaptation decision making. All of this points to a need for a fundamental revision of our conceptualization of what it is to do climate risk communication. This Special Collection comprises seven papers stimulated by a workshop on Climate Risk Perceptions and Communication held at Cumberland Lodge Windsor in 2010. Topics addressed include climate uncertainties, images and the media, communication and public engagement, uncertainty transfer in climate communication, the role of emotions, localization of hazard impacts, and longitudinal analyses of climate perceptions. Climate change risk perceptions and communication work is critical for future climate policy and decisions.
C1 [Pidgeon, Nick] Cardiff Univ, Tyndall Ctr Cardiff, Understanding Risk Res Grp, Cardiff CF10 3AT, S Glam, Wales.
   [Pidgeon, Nick] Cardiff Univ, Climate Change Consortium C3W Wales, Sch Psychol, Cardiff CF10 3AT, S Glam, Wales.
C3 Cardiff University; Cardiff University
RP Pidgeon, N (corresponding author), Cardiff Univ, Tyndall Ctr Cardiff, Understanding Risk Res Grp, Cardiff CF10 3AT, S Glam, Wales.
EM PidgeonN@cardiff.ac.uk
FU Economic and Social Research Council [RES-066-27-0013]; Leverhulme Trust
   [F/00407/AG]; ESRC [not_applicable, ES/F037511/1] Funding Source: UKRI;
   NERC [NE/G007748/1] Funding Source: UKRI
FX This editorial, Special Collection, and the associated Cumberland Lodge
   workshop were supported by an Economic and Social Research Council
   Climate Leader Professorial Fellowship to Nick Pidgeon
   (RES-066-27-0013), with additional support coming from the Leverhulme
   Trust (F/00407/AG). I wish to thank all of the participants who attended
   the workshop.
CR Anderson K, 2011, PHILOS T R SOC A, V369, P20, DOI 10.1098/rsta.2010.0290
   [Anonymous], 2011, 1171 GAO
   [Anonymous], 2009, CONSUMER POWER PUBLI
   [Anonymous], 2010, Merchants of doubt
   [Anonymous], 2009, 1009 ROYAL SOC SCI P
   [Anonymous], 2010, FEELING RISK
   [Anonymous], 2007, IPCC 4 ASS REP
   [Anonymous], 2012, UK Climate Change Risk Assessment: Government Report
   Borick C., 2012, ISSUES GOVERNANCE ST, V45, P1
   Boykoff M.T., 2011, Who speaks for the climate?
   Brulle RJ, 2012, CLIMATIC CHANGE, V114, P169, DOI 10.1007/s10584-012-0403-y
   Capstick S, 2012, THESIS CARDIFF U
   Compston H, 2008, TURNING DOWN THE HEAT: THE POLITICS OF CLIMATE POLICY IN AFFLUENT DEMOCRACIES, P263
   Corner A, 2010, ENVIRONMENT, V52, P24, DOI 10.1080/00139150903479563
   DFT, 2010, PUBL ATT CLIM CHANG
   Dunlap RE, 2008, ENVIRONMENT, V50, P26, DOI 10.3200/ENVT.50.5.26-35
   Dunlap RileyE., 2010, The Routledge Handbook of Climate Change and Society, P240
   FISCHHOFF B, 1995, RISK ANAL, V15, P137, DOI 10.1111/j.1539-6924.1995.tb00308.x
   Fischhoff B, 2007, ENVIRON SCI TECHNOL, V41, P7204, DOI 10.1021/es0726411
   Giddens Anthony., 2009, POLITICS CLIMATE CHA
   HSBC Climate Partnership, 2009, CLIM CONF MON 2009
   IPCC, 2012, SPEC REP MAN RISKS E
   Kasperson R.E., 1991, ACCEPTABLE EVIDENCE, P9
   Leiserowitz A., 2012, Extreme Weather and Climate Change in the American Mind
   Leiserowitz A., 2012, Climate Change in the American mind: American's global warming beliefs and attitudes in September 2012. Yale University and George Mason University
   Lenton TM, 2008, P NATL ACAD SCI USA, V105, P1786, DOI 10.1073/pnas.0705414105
   Lorenzoni I, 2005, RISK ANAL, V25, P1387, DOI 10.1111/j.1539-6924.2005.00686.x
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Moser SC, 2007, CREATING A CLIMATE FOR CHANGE: COMMUNICATING CLIMATE CHANGE AND FACILITATING SOCIAL CHANGE, P64, DOI 10.1017/CBO9780511535871.006
   Oppenheimer M, 2005, RISK ANAL, V25, P1399, DOI 10.1111/j.1539-6924.2005.00687.x
   Pidgeon N, 2011, NAT CLIM CHANGE, V1, P35, DOI [10.1038/NCLIMATE1080, 10.1038/nclimate1080]
   Pidgeon N, 2009, ENVIRON POLIT, V18, P670, DOI 10.1080/09644010903156976
   Poortinga W, 2011, GLOBAL ENVIRON CHANG, V21, P1015, DOI 10.1016/j.gloenvcha.2011.03.001
   Ratter BMW, 2012, ENVIRON SCI POLICY, V18, P3, DOI 10.1016/j.envsci.2011.12.007
   Schellnhuber HJ, 2006, DANGEROUS CLIMATE CH
   Scruggs L, 2012, GLOBAL ENVIRON CHANG, V22, P505, DOI 10.1016/j.gloenvcha.2012.01.002
   Shuckburgh E., 2012, Living With Environmental Change
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Spence A, 2010, GLOBAL ENVIRON CHANG, V20, P656, DOI 10.1016/j.gloenvcha.2010.07.002
   Spence A, 2009, ENVIRONMENT, V51, P8, DOI 10.1080/00139150903337217
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Whitmarsh L, 2011, GLOBAL ENVIRON CHANG, V21, P690, DOI 10.1016/j.gloenvcha.2011.01.016
NR 42
TC 75
Z9 87
U1 19
U2 218
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 2012
VL 32
IS 6
BP 951
EP 956
DI 10.1111/j.1539-6924.2012.01856.x
PG 6
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 960NL
UT WOS:000305395100004
PM 22708693
DA 2025-01-10
ER

PT J
AU Yin, ZC
   Song, XL
   Zhou, BT
   Jiang, WH
   Chen, HP
   Wang, HJ
AF Yin, Zhicong
   Song, Xiaolei
   Zhou, Botao
   Jiang, Wenhao
   Chen, Huopo
   Wang, Huijun
TI Traditional Meiyu-Baiu has been suspended by global warming
SO NATIONAL SCIENCE REVIEW
LA English
DT Article
DE global warming; Meiyu-Baiu; extremes; human activity; culture and
   civilization
ID SUMMER MONSOON; EAST; PRECIPITATION; TRANSFORMATION; TEMPERATURE;
   FEATURES; REGION; ASIA; YU
AB More than 1000 years, the Meiyu-Baiu have shaped the uniqueness of natural resources, civilization and culture in the Yangtze River Basin of China and the main islands of Japan. In recent decades, frequent rainstorms and droughts have seemingly diminished the misty features of traditional Meiyu-Baiu rainfall. However, there is still no consensus on whether their traditional nature is suspended. In this study, we quantitatively demonstrate that the Meiyu-Baiu almost completely lost their traditional features during 1961-2023, similar to 80% of which can be attributed to anthropogenic warming. Furthermore, in a warmer future, the traditional Meiyu-Baiu will be more unlikely to appear. This study underscores the urgency in adapting to climate shift because destructive extremes are measurably taking the place of mild and maternal rains.
   The oriental Meiyu-Baiu has almost completely lost and will keep away from its original and intrinsic features known as "misty rains", which are attributed to anthropogenic activities
C1 [Yin, Zhicong; Song, Xiaolei; Zhou, Botao; Jiang, Wenhao; Wang, Huijun] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Key Lab Meteorol Disaster, Minist Educ, Nanjing 210044, Peoples R China.
   [Yin, Zhicong; Chen, Huopo; Wang, Huijun] Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R China.
C3 Nanjing University of Information Science & Technology; Chinese Academy
   of Sciences; Institute of Atmospheric Physics, CAS
RP Wang, HJ (corresponding author), Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Key Lab Meteorol Disaster, Minist Educ, Nanjing 210044, Peoples R China.; Wang, HJ (corresponding author), Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R China.
EM hjwang@nuist.edu.cn
RI Huopo, Chen/B-7771-2013; song, xiaolei/ADA-8215-2022
OI zhou, Botao/0000-0002-5995-2378; Chen, Huopo/0000-0003-0760-8353
FU National Natural Science Foundation of China [42088101]
FX This work was supported by the National Natural Science Foundation of
   China (42088101).
CR Buckley BM, 2014, QUATERNARY SCI REV, V95, P1, DOI 10.1016/j.quascirev.2014.04.022
   Carleton TA, 2016, SCIENCE, V353, DOI 10.1126/science.aad9837
   Chen HJ, 2023, J TROP METEOROL, V29, P191, DOI 10.46267/j.1006-8775.2023.015
   Chen X., 2022, River, V1, P162, DOI [10.1002/rvr2.23, DOI 10.1002/RVR2.23]
   China Meteorological Administration, 2017, Meiyu Monitoring Indices (in Chinese)
   Chu QC, 2022, ATMOS RES, V266, DOI 10.1016/j.atmosres.2021.105965
   Degroot D, 2021, NATURE, V591, P539, DOI 10.1038/s41586-021-03190-2
   Ding YH, 2005, METEOROL ATMOS PHYS, V89, P117, DOI 10.1007/s00703-005-0125-z
   Ding YH, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2019JD031496
   Duan WL, 2022, NPJ CLIM ATMOS SCI, V5, DOI 10.1038/s41612-022-00255-5
   Dunalska JA, 2012, ECOL ENG, V49, P27, DOI 10.1016/j.ecoleng.2012.08.023
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fedorik F., 2013, INT J SUSTAIN BUILT, V2, P19
   Fowler HJ, 2021, NAT REV EARTH ENV, V2, P107, DOI 10.1038/s43017-020-00128-6
   Gao H, 2011, J CLIMATE, V24, P94, DOI 10.1175/2010JCLI3540.1
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hu JF., 2020, Crops, V36, P178
   Jiang J, 2023, NATURE, V623, P544, DOI 10.1038/s41586-023-06619-y
   Joshi MK, 2022, NPJ CLIM ATMOS SCI, V5, DOI 10.1038/s41612-021-00227-1
   Li SY, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abh2601
   Li XY, 2023, NATL SCI REV, V10, DOI 10.1093/nsr/nwad049
   Liu BQ, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL090342
   Liu CH, 2023, EARTH-SCI REV, V246, DOI 10.1016/j.earscirev.2023.104597
   Ma SM, 2017, J CLIMATE, V30, P1381, DOI [10.1175/jcli-d-16-0311.1, 10.1175/JCLI-D-16-0311.1]
   Matthews HD, 2022, SCIENCE, V376, P1404, DOI 10.1126/science.abo3378
   Menne MJ, 2012, J ATMOS OCEAN TECH, V29, P897, DOI 10.1175/JTECH-D-11-00103.1
   Miyamura K, 2022, ENVIRON INT, V167, DOI 10.1016/j.envint.2022.107410
   NINOMIYA K, 1992, J METEOROL SOC JPN, V70, P467, DOI 10.2151/jmsj1965.70.1B_467
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Peng DD, 2018, J CLIMATE, V31, P8005, DOI 10.1175/JCLI-D-17-0843.1
   Pepler A, 2019, CLIM DYNAM, V52, P5397, DOI 10.1007/s00382-018-4451-5
   Pilecky M, 2023, SCI TOTAL ENVIRON, V891, DOI 10.1016/j.scitotenv.2023.164622
   Qiao SB, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL093596
   Sarojini BB, 2016, NAT CLIM CHANGE, V6, P669, DOI 10.1038/NCLIMATE2976
   Shih FY, 2004, PATTERN RECOGN, V37, P79, DOI 10.1016/j.patcog.2003.08.003
   Sun B, 2023, NATL SCI REV, V10, DOI 10.1093/nsr/nwad246
   Sun B, 2019, J CLIMATE, V32, P6251, DOI 10.1175/JCLI-D-19-0017.1
   Sun Y, 2022, NATL SCI REV, V9, DOI 10.1093/nsr/nwab113
   Takahashi HG, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-93006-0
   TANAKA M, 1992, J METEOROL SOC JPN, V70, P613, DOI 10.2151/jmsj1965.70.1B_613
   Ul Hassan W, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abc9e2
   van Tilburg WAP, 2018, PERS SOC PSYCHOL B, V44, P984, DOI 10.1177/0146167218756030
   Wang HJ, 2022, ATMOS OCEAN SCI LETT, V15, DOI 10.1016/j.aosl.2021.100115
   Wang J, 2023, SCI BULL, V68, P2160, DOI 10.1016/j.scib.2023.08.011
   Wang MY, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00664-7
   Wang SS, 2017, SCI REP-UK, V7, DOI [10.1038/srep40741, 10.1038/srep42962]
   Wei WQ, 2017, NAT HUM BEHAV, V1, P890, DOI 10.1038/s41562-017-0240-0
   Weiss H, 2001, SCIENCE, V291, P609, DOI 10.1126/science.1058775
   Xu HW, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002409
   Yang Y, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28537-9
   Yin ZC, 2023, INNOVATION-AMSTERDAM, V4, DOI 10.1016/j.xinn.2023.100406
   Yuan-yuan B, 2022, J TROP METEOROL, V28, P273, DOI 10.46267/j.1006-8775.2022.021
   Zhang XB, 2013, GEOPHYS RES LETT, V40, P5252, DOI 10.1002/grl.51010
   Zhang YJ, 2020, ATMOS CHEM PHYS, V20, P12211, DOI 10.5194/acp-20-12211-2020
   Zhou TJ, 2021, SCI CHINA EARTH SCI, V64, P1633, DOI 10.1007/s11430-020-9771-8
   Zhu QG., 2003, Principle and Methods of Synoptic Meteorology (in Chinese), P351
NR 56
TC 1
Z9 2
U1 22
U2 26
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 2095-5138
EI 2053-714X
J9 NATL SCI REV
JI Natl. Sci. Rev.
PD JUN 13
PY 2024
VL 11
IS 7
AR nwae166
DI 10.1093/nsr/nwae166
EA JUN 2024
PG 9
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA UE6K1
UT WOS:001246421800002
PM 38883297
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU De Biasio, V
AF De Biasio, Virginia
TI Not Just 'Sinking Islands': Climate Change and Adaptation in Small
   Island Developing States
SO POLITICAL STUDIES
LA English
DT Article; Early Access
DE climate adaptation; climate change; Small Island Developing States;
   Kiribati; relocation
ID MIGRATION; REFUGEES; PERSPECTIVES; ETHICS
AB Small Island Developing States are among the countries which are hit the most by climate change, and especially by sea-level rise. In this article, I argue against the narrative focused on plans for collective relocation for the populations of Small Island Developing States. I argue that focusing exclusively on relocation leads us to endorse a 'doomsday' approach, which normalises the inevitability of territory loss, and obscures theoretically distinct and pressing problems related to how to tackle the current environmental issues and resource scarcity affecting those countries. In the first part of the article, I argue that adaptation efforts, which are systematically neglected in the dominant political theory literature about Small Island Developing States, should be prioritised over plans for relocation. In the second part of the article, I start to cast light on some of the normative dilemmas raised by a close focus on adaptation, and I defend a community-based approach to adaptation in Small Island Developing States.
C1 [De Biasio, Virginia] Univ York, Philosophy Polit & Econ, York, England.
C3 University of York - UK
RP De Biasio, V (corresponding author), Kings Coll London, Dept Polit Econ, Bush House,North East Wing,30 Aldwych, London WC2B 4BG, England.
EM virginia.de_biasio@kcl.ac.uk
FU Arts and Humanities Research Council [2024]; Nations' (Northwestern
   University in Qatar, Doha) [2023]
FX I want to thank Gabriele Badano and Martin O'Neill for their mentoring,
   help and constructive comments on several drafts of this article. I also
   want to thank the participants in the 2023 Troms & oslash; Conference in
   Ethics and Political Philosophy (The Artic University of Norway), the
   2024 Workshop 'Territories, Peoples, Nations' (Northwestern University
   in Qatar, Doha), the 2023 Political, Legal and Moral Symposium (Central
   European University, Vienna), and the 2023 Brave New World Conference
   (University of Manchester) for their helpful comments. I am grateful to
   the editor of Political Studies and two anonymous journal reviewers for
   their feedback and suggestions.
CR Alkire S., 2002, Valuing Freedoms, P154
   Angell K, 2021, EUR J POLIT THEORY, V20, P95, DOI [10.1177/1474885117741748, 10.1017/S0950268816003083]
   [Anonymous], 2005, Leiden Journal of International Law, DOI [10.1017/S0922156505002992, DOI 10.1017/S0922156505002992]
   [Anonymous], 2016, Kiribati 20-Year Vision 2016-2036
   [Anonymous], 1980, Tanner Lectures on Human Values, DOI [10.1093/0198289286.003.0002, DOI 10.1093/0198289286.003.0002]
   [Anonymous], 2019, Kiribati Joint Implementation Plan for Climate Change and Disaster Risk Management 2019-2028
   Armstrong C., 2017, JUSTICE NATURAL RESO
   Ayeb-Karlsson S, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.803
   Baatz C, 2013, ETHICS POLICY ENV, V16, P94, DOI 10.1080/21550085.2013.768397
   Barnett J, 2017, ASIA PAC VIEWP, V58, P3, DOI 10.1111/apv.12153
   Bell D.R., 2004, RES PUBLICA-NETH, V10, P135, DOI DOI 10.1023/B:RESP.0000034638.18936.AA
   Boas I, 2022, J ETHN MIGR STUD, V48, P3365, DOI 10.1080/1369183X.2022.2066264
   Boas I, 2019, NAT CLIM CHANGE, V9, P901, DOI 10.1038/s41558-019-0633-3
   Bonfati S., 2014, Social Work and Society International Online Journal, V12, P1
   Byravan S., 2010, ETHICS INT AFF, V24, P239, DOI 10.1111/j.1747-7093.2010.00266.x
   Byskov MF, 2022, ETHICAL THEORY MORAL, V25, P613, DOI 10.1007/s10677-022-10301-z
   Campbell John., 2010, Climate Change and Displacement: Multidisciplinary Perspectives
   Caney S, 2010, CRIT REV INT SOC POL, V13, P203, DOI 10.1080/13698230903326331
   Capisani S, 2021, PHILOS PUBLIC ISSUES, V11, P217
   Capisani S, 2020, ENVIRON ETHICS, V42, P189
   Cauchi JP, 2019, GLOBAL HEALTH ACTION, V12, DOI 10.1080/16549716.2019.1603683
   Cleverley L, 2023, AOTEAROA N Z SOC WOR, V35, P22
   De Biasio V, 2024, CRIT REV INT SOC POL, DOI 10.1080/13698230.2024.2311597
   de Haas H, 2021, COMP MIGR STUD, V9, DOI 10.1186/s40878-020-00210-4
   Draper J, 2024, EUR J POLIT THEORY, V23, P44, DOI 10.1177/14748851221093446
   Draper J, 2022, AM POLIT SCI REV, V116, P1012, DOI 10.1017/S0003055421001313
   Draper J, 2023, POLIT STUD-LONDON, V71, P314, DOI 10.1177/00323217211007641
   Farbotko C., 2019, DEALING CLIMATE CHAN, P251, DOI DOI 10.17875/GUP2019-1219
   Farbotko C, 2023, NAT CLIM CHANGE, V13, P750, DOI 10.1038/s41558-023-01733-1
   Farbotko C, 2022, ENVIRON SCI POLICY, V138, P182, DOI 10.1016/j.envsci.2022.10.001
   Farbotko C, 2020, NAT CLIM CHANGE, V10, P702, DOI 10.1038/s41558-020-0829-6
   Farbotko C, 2019, ASIA PAC VIEWP, V60, P148, DOI 10.1111/apv.12231
   Farbotko C, 2012, GLOBAL ENVIRON CHANG, V22, P382, DOI 10.1016/j.gloenvcha.2011.11.014
   Farbotko C, 2010, ASIA PAC VIEWP, V51, P47, DOI 10.1111/j.1467-8373.2010.001413.x
   Gardiner SM, 2004, ETHICS, V114, P555, DOI 10.1086/382247
   Government of Kiribati, 2009, National Capacity Self Assessment Project
   Government of Kiribati, 2007, National Adaptation Program of Action (NAPA)
   Government of Kiribati, 2013, Kiribati Integrated Environment Policy
   Hay JE., 2006, Country Environmental Analysis for Kiribati
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   Hermann E., 2019, Dealing with Climate Change on Small Islands: Towards Effective and Sustainable Adaptation?, P239
   Heyward C., 2016, Oxford Handbook of Environmental Ethics, P474
   Holland B, 2012, ETHICAL ADAPTATION TO CLIMATE CHANGE: HUMAN VIRTUES OF THE FUTURE, P145
   Jamieson Dale., 2010, CLIMATE ETHICS ESSEN, P263
   Jarillo S, 2022, ANTIPODE, V54, P848, DOI 10.1111/anti.12814
   Johnson CA, 2012, ENVIRON POLIT, V21, P308, DOI 10.1080/09644016.2012.651905
   Kirkby P, 2018, CLIM DEV, V10, P577, DOI 10.1080/17565529.2017.1372265
   Klöck C, 2019, J ENVIRON DEV, V28, P196, DOI 10.1177/1070496519835895
   Kolers A, 2012, J APPL PHILOS, V29, P333, DOI 10.1111/j.1468-5930.2012.00569.x
   Kuruppu N, 2011, GLOBAL ENVIRON CHANG, V21, P657, DOI 10.1016/j.gloenvcha.2010.12.002
   Kuruppu N, 2009, ENVIRON SCI POLICY, V12, P799, DOI 10.1016/j.envsci.2009.07.005
   Lister N, 2015, OCEAN ENG, V98, P78, DOI 10.1016/j.oceaneng.2015.01.013
   Lo Coco L., 2021, Global Justice: Theory Practice Rhetoric, V13, P50
   Mancilla A., 2021, GLOBAL JUSTICE THEOR, V13, P99, DOI [10.21248/gjn.13.01.185, DOI 10.21248/GJN.13.01.185]
   McNamara K. E., 2022, PloS Climate, V1, DOI [10.1371/journal.pclm.0000011, DOI 10.1371/JOURNAL.PCLM.0000011]
   Meyer Lukas H., 2013, CHI J INT LAW, V13, P597
   Moore Margaret., 2019, WHO SHOULD OWN NATUR
   Nine C, 2010, J APPL PHILOS, V27, P359, DOI 10.1111/j.1468-5930.2010.00498.x
   Nussbaum C. Martha, 2000, Women and Human Development: The Capabilities Approach, DOI DOI 10.1017/CBO9780511841286
   Oakes R., 2016, Report no. 20
   Oberman K, 2011, POLIT STUD-LONDON, V59, P253, DOI 10.1111/j.1467-9248.2011.00889.x
   Ödalen J, 2014, ETHICS POLICY ENV, V17, P225, DOI 10.1080/21550085.2014.926086
   Ottonelli V., 2020, Oxford Studies in Political Philosophy, P87
   Ottonelli V, 2013, INT MIGR REV, V47, P783, DOI 10.1111/imre.12048
   Page EA, 2012, INT THEOR, V4, P300, DOI 10.1017/S175297191200005X
   Perumal N, 2018, ISL STUD J, V13, P45, DOI 10.24043/isj.50
   Polishchuk Y, 2012, ECOL ECON, V81, P103, DOI 10.1016/j.ecolecon.2012.06.010
   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]
   Risse M., 2009, Ethics International Affairs, V23, P281
   Robeyns I., 2017, WELLBEING FREEDOM SO
   Robeyns I, 2020, WELLBEING SPACE SOC, V1, DOI 10.1016/j.wss.2020.100013
   Schlosberg D, 2012, ETHICAL ADAPTATION TO CLIMATE CHANGE: HUMAN VIRTUES OF THE FUTURE, P165
   Schlosberg D, 2010, GLOBAL ENVIRON POLIT, V10, P12, DOI 10.1162/GLEP_a_00029
   Schutz T., 2019, Kai Tiaki Nursing New Zealand, V25, P4
   Sen A., 1992, INEQUALITY REEXAMINE
   Sen A., 1999, Development as freedom, V1st
   Shue Henry., 2014, Climate Justice: Vulnerability and Protection
   Stilz Anna., 2019, TERRITORIAL SOVEREIG
   Straehle C, 2023, ETHICS INT AFF, V37, P452, DOI 10.1017/S0892679423000412
   United Nations Office for Disaster Risk Reduction UNDRR, 2020, Disaster Risk Reduction in the Republic of Kiribati: Status Report 2019
   Vaha ME, 2018, INT J CLIM CHANG STR, V10, P229, DOI 10.1108/IJCCSM-10-2017-0183
   Vaha ME, 2015, J INT POLIT THEORY, V11, P206, DOI 10.1177/1755088215571780
   Vandebroek I, 2011, J ETHNOBIOL ETHNOMED, V7, DOI 10.1186/1746-4269-7-35
   Venkatapuram S., 2011, Health Justice: An Argument from the Capabilities Approach
   Walshe RA, 2018, ISL STUD J, V13, P13, DOI 10.24043/isj.56
   Westoby R, 2020, AMBIO, V49, P1466, DOI 10.1007/s13280-019-01294-8
   Woodham A., 2018, J MUSEUM ETHNOGRAPHY, V31, P199
   World Bank Group and Asian Development Bank, 2021, Climate risk country profile: Vietnam
   Zickgraf C, 2018, ROUT INT HANDB, P71
NR 89
TC 0
Z9 0
U1 4
U2 4
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0032-3217
EI 1467-9248
J9 POLIT STUD-LONDON
JI Polit. Stud.
PD 2024 DEC 4
PY 2024
DI 10.1177/00323217241298848
EA DEC 2024
PG 22
WC Political Science
WE Social Science Citation Index (SSCI)
SC Government & Law
GA O2Q6U
UT WOS:001369643300001
DA 2025-01-10
ER

PT J
AU Osei-Acheampong, B
   Mensah, SO
AF Osei-Acheampong, Bismark
   Mensah, Seth Opoku
TI Impact of the rural enterprise programme interventions on smallholder
   farmers' climate adaptation strategies: Qualitative evidence from
   Ghana's transitional agro-ecological zone
SO COMMUNITY DEVELOPMENT
LA English
DT Article; Early Access
DE Adaptation strategies; Ghana; rural enterprise programme; smallholder
   farmers; vulnerability
ID ADAPTIVE CAPACITY; FOOD SECURITY; VULNERABILITY; FISHERIES
AB This paper combines theoretical insights from vulnerability literature and interpretive paradigm using a qualitative approach involving semi-structured interviews and focus group discussions to examine smallholder farmers' climate perception, adaptation strategies, and challenges under the rural enterprise programme interventions in the Kintampo South district of Ghana. The farmers reported rainfall variability and rising temperatures as their key observed changes. The study revealed that climate impacts on farmers and their agricultural systems are multidimensional, which affect their productive capacity and livelihoods. These impacts have pushed them to adopt adaptation strategies with the support of the programme interventions. The farmers benefitted from material and non-material resources, minimizing climate impacts and reducing vulnerabilities. The paper provides critical insights into how future agricultural development interventions could develop effective interventions to build sustainable agricultural systems and livelihoods that are inclusive, sustainable, and responsive to the needs of the most vulnerable communities and obviate smallholder farmers' vulnerability.
C1 [Osei-Acheampong, Bismark] Univ Technol Sydney, Inst Publ Policy & Governance, Sydney, Australia.
   [Mensah, Seth Opoku] Univ Technol Sydney, Inst Sustainable Futures, Sydney, Australia.
C3 University of Technology Sydney; University of Technology Sydney
RP Osei-Acheampong, B (corresponding author), Univ Technol Sydney, Inst Publ Policy & Governance, Sydney, Australia.
EM seth.opokumensah@student.uts.edu.au
OI Opoku Mensah, Seth/0000-0003-4899-4254
FX We thank all programme communities and beneficiaries who participated in
   this study. Again, we sincerely thank the research assistants for their
   support. We also thank the anonymous reviewers who provided critical
   comments to enhance the paper's quality and scholarly rigor.
CR Abunyewah M, 2024, ENVIRON DEV, V49, DOI 10.1016/j.envdev.2023.100960
   Acheampong PP, 2023, FRONT SUSTAIN FOOD S, V7, DOI 10.3389/fsufs.2023.1091812
   Adam Mohammed, 2022, International Journal of Social Ecology and Sustainable Development, DOI 10.4018/IJSESD.315314
   Addaney Michael, 2021, Journal of Land and Rural Studies, V9, P344, DOI 10.1177/23210249211008537
   Adeagbo OA, 2023, SCI AFR, V22, DOI 10.1016/j.sciaf.2023.e01971
   ADF, 2012, Ghana: Appraisal report
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adjei POW, 2020, POVERTY PUBLIC POLIC, V12, P84, DOI 10.1002/pop4.270
   Adjei POW, 2016, AFR REV ECON FINANC-, V8, P269
   AGRA, 2023, Africa agriculture status report: Empowering Africas food systems for the future, V11
   Allen KM, 2006, DISASTERS, V30, P81, DOI 10.1111/j.1467-9523.2006.00308.x
   Aniah P, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e01492
   [Anonymous], 2022, Climate change 2022: Impacts, adaptation and vulnerability, P2897, DOI [10. 1017/9781009325844.029, 10.1017/9781009325844.029, DOI 10.1017/9781009325844.029]
   Antwi-Agyei P, 2023, CURR RES ENVIRON SUS, V5, DOI 10.1016/j.crsust.2023.100223
   Antwi-Agyei P, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031308
   Appiah DO, 2022, ENVIRON DEV, V42, DOI 10.1016/j.envdev.2021.100691
   Asitik A. J., 2023, J ENTREPRENEURSHIP I, V23939575231174794, P270, DOI [https://doi.org/10.1177/23939575231174794, DOI 10.1177/23939575231174794]
   Asitik A. J., 2016, International Journal of Arts & Sciences, V9, P493
   Bailey C.A., 2018, GUIDE QUALITATIVE FI, V3rd
   Bautze D., 2022, Ecological approach to pest and disease management in the tropics
   Baxter J, 1997, T I BRIT GEOGR, V22, P505, DOI 10.1111/j.0020-2754.1997.00505.x
   Boafo J, 2023, COGENT FOOD AGR, V9, DOI 10.1080/23311932.2023.2286728
   Boukaka S.-A. P., 2022, Impact assessment report: Rural enterprise program (REP) phase III, republic of Ghana
   Bryman A., 2012, Social Research Methods
   Campbell B. M., 2023, Advancing climate change adaptation in African food systems: Seven key priorities for action on adaptation
   Campbell BM, 2016, GLOB FOOD SECUR-AGR, V11, P34, DOI 10.1016/j.gfs.2016.06.002
   Corbin J.M., 2015, Basics of qualitative research: Techniques and procedures for developing grounded theory (4th ed), V4th, DOI 10.4135/9781452230153
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Dapilah F, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-023-02151-x
   Demedeme G., 2022, Journal of Agricultural Extension Rural Development, V14, P13, DOI [https://doi.org/10.5897/JAERD2021.1287, DOI 10.5897/JAERD2021.1287]
   Demi SM, 2021, ENVIRON HEALTH INSIG, V15, DOI 10.1177/11786302211043033
   Dunn K., 2021, Qualitative research methods in human geography, VFifth
   Epule TE, 2023, ENVIRON SCI POLICY, V149, DOI 10.1016/j.envsci.2023.103561
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Erwin A, 2021, WORLD DEV, V138, DOI 10.1016/j.worlddev.2020.105282
   Eshetu AA, 2024, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-024-05104-4
   FAO, 2022, STATE FOOD AGR 2022
   FAO ITU, 2022, STATUS DIGITAL AGR 4, DOI [10.4060/cb7943en, DOI 10.4060/CB7943EN]
   Ferdous J, 2019, ENVIRON DEV, V31, P88, DOI 10.1016/j.envdev.2018.10.003
   Foo K, 2018, CITIES, V77, P67, DOI 10.1016/j.cities.2018.01.002
   Freduah G, 2018, GEOFORUM, V91, P61, DOI 10.1016/j.geoforum.2018.02.026
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Fujisawa M, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0120563
   Garrett RD, 2020, ECOL SOC, V25, DOI 10.5751/ES-11412-250124
   Gaworek-Michalczenia MF, 2022, CLIM DEV, V14, P867, DOI 10.1080/17565529.2021.2018987
   GSS, 2022, 2017/18 Ghana census of agriculture national report
   GSS, 2014, 2010 Population and Housing Census: National Analytical Report
   Guodaar L, 2023, INT J DISAST RISK RE, V95, DOI 10.1016/j.ijdrr.2023.103891
   Hamelin AM, 2011, INT J CONSUM STUD, V35, P58, DOI 10.1111/j.1470-6431.2010.00927.x
   Hansen J, 2019, AGR SYST, V172, P28, DOI 10.1016/j.agsy.2018.01.019
   Hassan R., 2005, Ecosystems and human wellbeing: Current states and trends. Findings of the condition and trends working group, P893
   Ile I, 2018, COGENT SOC SCI, V4, DOI 10.1080/23311886.2018.1528709
   Johnson JE, 2010, REV FISH SCI, V18, P106, DOI 10.1080/10641260903434557
   Kates RW, 1996, ENVIRONMENT, V38, P6, DOI 10.1080/00139157.1996.9933458
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Keys N, 2014, REG ENVIRON CHANGE, V14, P501, DOI 10.1007/s10113-012-0394-2
   Kirchherr J, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0201710
   Kurmanalina A., 2020, Acad. Entrep. J, V26, P1
   Lawless S, 2022, GLOBAL ENVIRON CHANG, V72, DOI 10.1016/j.gloenvcha.2021.102434
   Lawrence Neuman W., 2021, SOCIAL RES METHODS Q
   Mensah SO, 2023, J SOCIAL EC DEV, V25, P232, DOI 10.1007/s40847-022-00208-x
   Miles M. B., 2019, Qualitative data analysis: A methods sourcebook.
   Moller M, 2018, TRAVEL BEHAV SOC, V11, P69, DOI 10.1016/j.tbs.2017.12.005
   MoTI, 2023, Rural enterprises programme (REP)
   Murtonen M., 2005, SCAND J EDUC RES, V49, P263, DOI DOI 10.1080/00313830500109568
   Ndamani F, 2017, WATER-SUI, V9, DOI 10.3390/w9030210
   Ndiwa AM, 2024, FRONT SUSTAIN FOOD S, V8, DOI 10.3389/fsufs.2024.1376868
   Nordjo E, 2024, COMMUNITY DEV, V55, P644, DOI 10.1080/15575330.2023.2260878
   Nyantakyi-Frimpong H, 2020, GENDER PLACE CULT, V27, P1536, DOI 10.1080/0966369X.2019.1693344
   Oladapo L. O., 2018, EFFECT RURAL ENTERPR
   Opoku Mensah S., 2023, Climate change in Africa: Adaptation, resilience, and policy innovations, P211, DOI [https://doi.org/10.1007/978-3-031-30050-910, DOI 10.1007/978-3-031-30050-910]
   Mensah SO, 2024, AGR HUM VALUES, V41, P1177, DOI 10.1007/s10460-024-10546-7
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sraku-Lartey M, 2020, INFORM DEV, V36, P16, DOI 10.1177/0266666918811391
   Stavi I, 2021, ANTHROPOCENE REV, DOI 10.1177/20530196211007512
   Strijker D, 2020, J RURAL STUD, V78, P262, DOI 10.1016/j.jrurstud.2020.06.007
   Sumberg J, 2024, GLOB FOOD SECUR-AGR, V41, DOI 10.1016/j.gfs.2024.100759
   Tahiru A, 2019, CLIM RISK MANAG, V26, DOI 10.1016/j.crm.2019.100197
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   UNDP, 2023, Ghana multidimensional poverty index 2023: Unstacking global poverty: Data for high impact action
   UNDP, 2021, Precision agriculture for smallholder farmers
   UNFCCC, 2023, UN CLIM CHANG ANN RE
   Wang HH, 2014, AM J AGR ECON, V96, P1257, DOI 10.1093/ajae/aau036
   Wang RL, 2018, PATTERN RECOGN LETT, V109, P120, DOI 10.1016/j.patrec.2018.01.013
   World Bank, 2021, Climate Risk Profile: Cambodia
   Wrigley-Asante C, 2019, AFR GEOGR REV, V38, P126, DOI 10.1080/19376812.2017.1340168
   Yeleliere E, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e19656
   Yin R. K., 2017, Case study research and applications: Design and methods, V6th
NR 88
TC 0
Z9 0
U1 2
U2 2
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1557-5330
EI 1944-7485
J9 COMMUNITY DEV
JI Community Dev.
PD 2024 SEP 19
PY 2024
DI 10.1080/15575330.2024.2403009
EA SEP 2024
PG 26
WC Development Studies
WE Emerging Sources Citation Index (ESCI)
SC Development Studies
GA G2G2S
UT WOS:001314868300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Ilgen, K
   Schindler, D
   Armbruster, A
   Ladwig, R
   de Zarate, IER
   Lange, J
AF Ilgen, Konstantin
   Schindler, Dirk
   Armbruster, Alfons
   Ladwig, Robert
   de Zarate, Irene Eppinger Ruiz
   Lange, Jens
TI Evaporation reduction and energy generation potential using floating
   photovoltaic power plants on the Aswan High Dam Reservoir
SO HYDROLOGICAL SCIENCES JOURNAL
LA English
DT Article
DE Floating solar (FPV); evaporation loss; water savings; water usage
   scenarios; hydrodynamic modelling; climate adaptation
ID LAKE NASSER; CLIMATE-CHANGE; EGYPT; CHALLENGES; MANAGEMENT; NILE
AB There is an opportunity for efficient implementation of floating photovoltaics (FPV) by coupling with other renewable energies, such as hydropower. The resulting synergies benefit both technologies. Particularly in arid regions, hydropower reservoirs face considerable evaporation. As a benefit, FPV minimizes evaporation while simultaneously generating renewable energy. In this study, we simulate the evaporation reduction due to FPV by applying the hydrodynamic General Lake Model together with the yield simulation model Zenit to the Aswan High Dam Reservoir. We estimate a 49.7% evaporation reduction at 90% FPV occupancy and water savings of up to 5.9 billion m3 per year (BCM a-1). The mean specific water saving of the FPV system is 7.67 m3 a-1 kWp-1. We analyse possible ways to use the saved water, such as additional hydropower, filling up the Toshka Lakes, or agricultural irrigation. The use of FPV water savings for irrigation appeared to be most efficient.
C1 [Ilgen, Konstantin; Armbruster, Alfons] Fraunhofer Inst Solar Energy Syst ISE, Anal Modules & Power Plants, Heidenhofstr 2, D-79110 Freiburg, Germany.
   [Ilgen, Konstantin; de Zarate, Irene Eppinger Ruiz; Lange, Jens] Univ Freiburg, Fac Environm & Nat Resources, Hydrol, Freiburg, Germany.
   [Schindler, Dirk] Univ Freiburg, Freiburg, Germany.
   [Ladwig, Robert] Univ Wisconsin Madison, Ctr Limnol, Madison, WI USA.
C3 Fraunhofer Gesellschaft; Fraunhofer Institute of Solar Energy Systems;
   University of Freiburg; University of Freiburg; University of Wisconsin
   System; University of Wisconsin Madison
RP Ilgen, K (corresponding author), Fraunhofer Inst Solar Energy Syst ISE, Anal Modules & Power Plants, Heidenhofstr 2, D-79110 Freiburg, Germany.
EM konstantin.ilgen@ise.fraunhofer.de
OI Ilgen, Konstantin/0000-0002-7442-4581
FU German Federal Foundation for Environment [08020211210/002];
   FPV4Resilience project; Sustainability Center Freiburg (LZN); United
   States National Science Foundation [DBI1759865, DBI 1759865]; UW-Madison
   Data Science Initiative grant; NSF HDR grant [1934633]
FX KI was supported by a scholarship from the German Federal Foundation for
   Environment [DBU, #08020211210/002]. The researchers of Fraunhofer ISE
   acknowledge the support from the FPV4Resilience project, funded by the
   Sustainability Center Freiburg (LZN). RL was supported through a United
   States National Science Foundation DBI1759865 (NSF) ABI development
   grant [#DBI 1759865], UW-Madison Data Science Initiative grant, and NSF
   HDR grant [#1934633].
CR Abd Ellah RG, 2020, EGYPT J AQUATIC RES, V46, P1, DOI 10.1016/j.ejar.2020.03.001
   Abd-Elhamid HF, 2021, WATER-SUI, V13, DOI 10.3390/w13060769
   Abdelal Q, 2021, INT J LOW-CARBON TEC, V16, P732, DOI 10.1093/ijlct/ctab001
   Abo-Khalil A.G., 2016, J. Energy Nat. Resour, V5, P19, DOI [10.11648/j.jenr.s.2016050101.14, DOI 10.11648/J.JENR.S.2016050101.14]
   Allan C, 2013, CURR OPIN ENV SUST, V5, P625, DOI 10.1016/j.cosust.2013.09.004
   Amin, 2023, HYDROELECTRIC POWER
   Aziz SA, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11247050
   Choi Y K., 2014, International Journal of Software Engineering and Its Applications, V8, P75, DOI [10.14257/ijseia.2014.8.1.07, DOI 10.14257/IJSEIA.2014.8.1.07]
   Döll P, 2015, HYDROLOG SCI J, V60, P4, DOI 10.1080/02626667.2014.967250
   Donia N, 2013, J HYDROINFORM, V15, P1491, DOI 10.2166/hydro.2013.003
   Dörenkämper M, 2021, SOL ENERGY, V214, P239, DOI 10.1016/j.solener.2020.11.029
   dos Santos FR, 2022, ENERGIES, V15, DOI 10.3390/en15176274
   El-Nashar WY, 2018, AIN SHAMS ENG J, V9, P2383, DOI 10.1016/j.asej.2017.06.004
   El-Rawy M, 2020, REGION GEOL REV, P687, DOI 10.1007/978-3-030-15265-9_18
   Ellah RGA, 2023, EGYPT J AQUATIC RES, V49, P1, DOI 10.1016/j.ejar.2022.10.003
   Elsawwaf M, 2012, J ENVIRON BIOL, V33, P475
   Elshafei Moustafa, 2021, Journal of Energy, V2021, DOI 10.1155/2021/6674091
   Entz B., 1976, The Nile, biology of an ancient river., P271, DOI [https://doi.org/10.1007/978-94-010-1563-9_30, DOI 10.1007/978-94-010-1563-9_30]
   Exley G, 2022, J ENVIRON MANAGE, V324, DOI 10.1016/j.jenvman.2022.116410
   Fraunhofer ISE, 2023, YIELD ASSESSMENT INC
   Grill G, 2019, NATURE, V569, P215, DOI 10.1038/s41586-019-1111-9
   Gupta A., 2008, Large rivers: geomorphology and management
   Guseva S, 2023, J GEOPHYS RES-ATMOS, V128, DOI 10.1029/2022JD037219
   Hassan R.M.A., 2007, 11 INT WAT TECHN C I, P179
   Hipsey MR, 2019, GEOSCI MODEL DEV, V12, P473, DOI 10.5194/gmd-12-473-2019
   Ibrahim S., 2013, NILE BASIN WATER SCI, V6
   Ilgen K, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-34751-2
   IPCC, 2023, Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change Core Writing Team, P184, DOI [10.59327/IPCC/AR6-9789291691647, DOI 10.59327/IPCC/AR6-9789291691647.001]
   Kjeldstad T, 2021, SOL ENERGY, V218, P544, DOI 10.1016/j.solener.2021.03.022
   Mahmoud M A., 2019, Handbook of Environmental Chemistry, P471, DOI 10.1007/698_2017_42
   Mohamed H. I., 2017, International Journal of Water Resources and Arid Environments, V6, P89
   Muala E, 2014, REMOTE SENS-BASEL, V6, P7522, DOI 10.3390/rs6087522
   NASA, 2023, POWER DAT ACC VIEW
   Nikiel CA, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24747-9
   Omar MEM, 2016, J ADV RES, V7, P403, DOI 10.1016/j.jare.2016.02.005
   Osman R, 2016, WATER ECON POLICY, V2, DOI 10.1142/S2382624X16500090
   Patterson Susan, Where Light Meets Water
   Peters R, 2023, SCI DATA, V10, DOI 10.1038/s41597-022-01922-1
   Ravichandran N, 2021, PROCESSES, V9, DOI 10.3390/pr9061005
   Santafé MR, 2014, ENERGY, V67, P246, DOI 10.1016/j.energy.2014.01.083
   Sahu A, 2016, RENEW SUST ENERG REV, V66, P815, DOI 10.1016/j.rser.2016.08.051
   Sanchez RG, 2021, RENEW ENERG, V169, P687, DOI 10.1016/j.renene.2021.01.041
   Sayyah A, 2014, SOL ENERGY, V107, P576, DOI 10.1016/j.solener.2014.05.030
   Scavo FB, 2021, INT J ENERG RES, V45, P167, DOI 10.1002/er.5170
   Shaltout MAM, 1997, ADV SPACE RES-SERIES, V19, P515, DOI 10.1016/S0273-1177(97)00064-1
   Solargis s.r.o, 2023, GIS DAT
   Strzepek KM, 2008, ECOL ECON, V66, P117, DOI 10.1016/j.ecolecon.2007.08.019
   Sutcliffe J, 2016, HYDROLOG SCI J, V61, P1557, DOI 10.1080/02626667.2015.1019508
   USGS, 2023, IRR FIELDS
   Wahab M. M. A., 2018, Environment Asia, V11, P192
   Wirth H., 2021, POTENTIALS INTEGRATE
   Worldometer, 2023, EG POP
   Ziar H, 2021, PROG PHOTOVOLTAICS, V29, P725, DOI 10.1002/pip.3367
NR 53
TC 2
Z9 2
U1 10
U2 10
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0262-6667
EI 2150-3435
J9 HYDROLOG SCI J
JI Hydrol. Sci. J.
PD APR 25
PY 2024
VL 69
IS 6
BP 709
EP 720
DI 10.1080/02626667.2024.2332625
EA APR 2024
PG 12
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA RN5L6
UT WOS:001204590800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Dale, L
   Ajibade, I
AF Dale, Lisa
   Ajibade, Idowu
TI Climate resettlement and livelihood transformation in Rwanda: the case
   of Rweru Model Green Village
SO CLIMATE AND DEVELOPMENT
LA English
DT Article; Early Access
DE climate adaptation; managed retreat; planned resettlement; political
   ecology; rural development; Rwanda
ID MANAGED RETREAT; SUSTAINABLE DEVELOPMENT; POLITICAL ECOLOGY;
   DISPLACEMENT; ADAPTATION; MIGRATION; ECONOMY; POLICY; CHINA
AB This study investigates whether relocating rural communities from areas exposed to high climatic risks can be transformative and in what ways. Using the Rweru Model Green Village as a case study and drawing on regional political ecology and sustainable livelihoods framework, the study shows that climate-related resettlement as an act of transformation is mediated by development vision and policies, multi-scalar dynamics, and micro-politics. Our semi-structured interviews with households resettled in the Rweru village revealed the double-edged nature of transformation. Resettlement was shown to increase access to modern facilities and social services for two remote island communities. However, new and potentially severe livelihood constraints emerged due to limited natural and financial capital, intra-community inequities, and microclimate variations between the origin and resettlement sites. These findings suggest that resettlement as a form of transformative adaptation requires careful navigation of the interplay between community expectations, government development plans, and shifts in the local, regional, and global political economy.
C1 [Dale, Lisa] Columbia Univ, Columbia Climate Sch, New York, NY 10025 USA.
   [Ajibade, Idowu] Emory Univ, Dept Environm Sci, Atlanta, GA USA.
   [Dale, Lisa] Columbia Univ, Columbia Climate Sch, Climate Earth & Soc, Hogan Hall,B-104,566 W 114th St, New York, NY 10025 USA.
C3 Columbia University; Emory University; Columbia University
RP Dale, L (corresponding author), Columbia Univ, Columbia Climate Sch, Climate Earth & Soc, Hogan Hall,B-104,566 W 114th St, New York, NY 10025 USA.
EM lad2189@columbia.edu
OI Ajibade, Idowu/0000-0002-9767-0435; Dale, Lisa/0000-0002-7678-4943
CR Agnew J, 2000, PROG HUM GEOG, V24, P101, DOI 10.1191/030913200676580659
   Ajibade I, 2022, GLOBAL ENVIRON CHANG, V76, DOI 10.1016/j.gloenvcha.2022.102576
   Ajibade I, 2022, ANN AM ASSOC GEOGR, V112, P2230, DOI 10.1080/24694452.2022.2062290
   Ajibade I, 2019, CLIM DEV, V11, P850, DOI 10.1080/17565529.2019.1580557
   Ajibade IJ, 2022, ROUTL STUD ENV MIGR, P1, DOI 10.4324/9781003141457-1
   Alexander KS, 2012, J ENVIRON PLANN MAN, V55, P409, DOI 10.1080/09640568.2011.604193
   [Anonymous], ND GAIN COUNTRY INDE
   [Anonymous], 2013, Economic Development and Poverty Reduction Strategy
   [Anonymous], 2012, The New Times
   Arnall A, 2019, CLIM DEV, V11, P253, DOI 10.1080/17565529.2018.1442799
   Arnall A, 2014, GEOGR J, V180, P141, DOI 10.1111/geoj.12036
   Bafana B., 2016, Africa Renewal
   Bertana A, 2020, ENVIRON PLAN C-POLIT, V38, P902, DOI 10.1177/2399654420909394
   Betzold C, 2015, CLIMATIC CHANGE, V133, P481, DOI 10.1007/s10584-015-1408-0
   Biggs EM, 2015, ENVIRON SCI POLICY, V54, P389, DOI 10.1016/j.envsci.2015.08.002
   Birkenholtz T, 2012, PROG HUM GEOG, V36, P295, DOI 10.1177/0309132511421532
   Bisaga I, 2021, ENERG POLICY, V149, DOI 10.1016/j.enpol.2020.112028
   Chambers R., 1992, Discussion Paper - Institute of Development Studies, University of Sussex
   Clay N, 2019, WORLD DEV, V116, P1, DOI 10.1016/j.worlddev.2018.11.022
   Cottyn I, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103521
   Cross H, 2017, REV AFR POLIT ECON, V44, P381, DOI 10.1080/03056244.2017.1333411
   Dale L, 2022, Columbia Univ Earth, P1
   Dannenberg AL, 2019, CLIMATIC CHANGE, V153, P1, DOI 10.1007/s10584-019-02382-0
   Dawson N, 2016, WORLD DEV, V78, P204, DOI 10.1016/j.worlddev.2015.10.008
   Pérez BF, 2021, J ENVIRON STUD SCI, V11, P352, DOI 10.1007/s13412-021-00693-2
   Feola G, 2015, AMBIO, V44, P376, DOI 10.1007/s13280-014-0582-z
   Frongillo E., 2019, Final Report
   Gebauer C, 2015, AREA, V47, P97, DOI 10.1111/area.12168
   Government of Rwanda, 2011, Green growth and climate resilience national strategy for climate change and Low carbon development
   Government of Rwanda, 2009, Updated version of the national human settlement policy in Rwanda
   Government of Rwanda, 2012, Disaster high risk zones on floods and landslides
   Government of Rwanda, 2017, Rwanda 7 years government programme: National strategy for transformation (NST)
   Grieving S., 2018, J.Extr. Even., V05, DOI DOI 10.1142/S2345737618500112
   Gussmann G, 2020, CLIMATIC CHANGE, V163, P931, DOI 10.1007/s10584-020-02919-8
   Habyarimana JB, 2017, AFR DEV REV, V29, P96, DOI 10.1111/1467-8268.12265
   Hahirwa GJ, 2017, J EAST AFR STUD, V11, P734, DOI 10.1080/17531055.2017.1388569
   Hanna C., 2019, Managed retreat in practice: Mechanisms and challenges for implementation
   Harnish A, 2019, ECON ANTHROPOL, V6, P250, DOI 10.1002/sea2.12151
   Hasselskog M, 2015, THIRD WORLD Q, V36, P950, DOI 10.1080/01436597.2015.1030386
   Heermans J., 2015, Climate Change Adaptation within Land Use and Tenure Reforms in Rwanda
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Isaksson AS, 2013, J AFR ECON, V22, P394, DOI 10.1093/jae/ejs038
   Knox A., 2014, Assessment of economic, social, and environmental impacts of the land Use consolidation component of the crop intensification program in Rwanda
   Koslov L, 2021, CLIMATIC CHANGE, V165, DOI 10.1007/s10584-021-03069-1
   Kothari U, 2014, GEOGR J, V180, P130, DOI 10.1111/geoj.12032
   Lavers T., 2016, ESID Working Paper No 68. Manchester: Effective States and Inclusive Development Research Centre, DOI [https://doi.org/10.2139/ssrn.2887444, DOI 10.2139/SSRN.2887444]
   Mafaranga H., 2021, Eos, V102
   Mann L, 2016, NEW POLIT ECON, V21, P119, DOI 10.1080/13563467.2015.1041484
   Maradan D., 2017, Ecosys, UNDP / UNEP
   Marter-Kenyon J, 2020, ANTHROPOCENE REV, V7, P159, DOI 10.1177/2053019620915633
   Mikova Kseniia., 2015, Earth Sciences, P120, DOI DOI 10.11648/J.EARTH.20150403.15
   Miller F, 2020, URBAN STUD, V57, P1570, DOI 10.1177/0042098019830239
   Morse S., 2013, Sustainable livelihood approach, P1, DOI [DOI 10.1007/978-94-007-6268-8, 10.1007/978-94-007-6268-8]
   National Institute of Statistics of Rwanda, 2018, Integrated Household Living Conditions Survey V (EICV5)
   National Institute of Statistics of Rwanda (NISR), 2021, Rwanda demographic and health Survey 201920 final report
   Newbury Catharine., 2011, Remaking Rwanda: State Building and Human Rights after Mass Violence, P223
   Ngoga T., 2015, Rural settlement in Rwanda: an assessment of land management and livelihoods
   Ngoga T.H., 2019, A Quick, Cost-Effective Approach to Land Tenure Regularisation: The Case of Rwanda
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Ong LH, 2014, CHINA QUART, V217, P162, DOI 10.1017/S0305741014000010
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Petzold J, 2019, CLIMATIC CHANGE, V152, P145, DOI 10.1007/s10584-018-2363-3
   Piggott-McKellar AE, 2020, AMBIO, V49, P1474, DOI 10.1007/s13280-019-01289-5
   Rangan H, 2009, PROG HUM GEOG, V33, P28, DOI 10.1177/0309132508090215
   Rogers S, 2020, PROG HUM GEOG, V44, P256, DOI 10.1177/0309132518824659
   Rwakarema J., 2016, Rwanda defense forces (RDF): The destabilizer or peacemaker?
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   See J, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102188
   Serrat O., 2017, Knowledge Solutions, P21, DOI [DOI 10.1007/978-981-10-0983-95, 10.1007/978-981-10-0983-9, DOI 10.1007/978-981-10-0983-9]
   Shinn JE, 2014, GEOFORUM, V57, P21, DOI 10.1016/j.geoforum.2014.08.006
   Short T, 2008, SUSTAIN DEV, V16, P56, DOI 10.1002/sd.328
   Siders AR, 2021, CURR OPIN ENV SUST, V50, P272, DOI 10.1016/j.cosust.2021.06.007
   Stefancu O, 2022, ROUTL STUD ENV MIGR, P152, DOI 10.4324/9781003141457-12
   Tronquet C., 2015, The State of Environmental Migration, V2015, P121
   Tubridy D, 2021, PLAN PERSPECT, V36, P1249, DOI 10.1080/02665433.2021.1939115
   UNDP, 2021, How green model villages approach has stirred green transformation of rural areas in Rwanda
   United Nations Development Programme, 2018, The Green villages of Rwanda: A UNDP-UN Environment initiative provides a pathway to sustainable development
   United States Agency for International Development, 2016, Final Report: Rwanda Land Project
   Walker B, 2004, ECOL SOC, V9
   Walker PA, 2003, PROG HUM GEOG, V27, P7, DOI 10.1191/0309132503ph410oa
   Wilmsen B, 2011, ASIAN STUD REV, V35, P21, DOI 10.1080/10357823.2011.552707
   Wu J., 2015, Geography Research Forum, P95
   Yarina L, 2019, J LANDSC ARCHIT, V14, P8, DOI 10.1080/18626033.2019.1705570
   Zhang Q, 2018, J POLIT ECOL, V25, P364, DOI 10.2458/v25i1.23045
NR 84
TC 2
Z9 2
U1 3
U2 6
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD 2024 FEB 14
PY 2024
DI 10.1080/17565529.2024.2314691
EA FEB 2024
PG 13
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA HU8S1
UT WOS:001162116900001
DA 2025-01-10
ER

PT J
AU Chaudhary, S
   Rajagopalan, K
   Kruger, CE
   Brady, MP
   Fraisse, CW
   Gustafson, D
   Hall, SA
   Hoogenboom, G
   Melnick, RL
   Reyes, J
   Stöckle, CO
   Sulser, TB
AF Chaudhary, Siddharth
   Rajagopalan, Kirti
   Kruger, Chad E.
   Brady, Michael P.
   Fraisse, Clyde W.
   Gustafson, David, I
   Hall, Sonia A.
   Hoogenboom, Gerrit
   Melnick, Rachel L.
   Reyes, Julian
   Stockle, Claudio O.
   Sulser, Timothy B.
TI Climate analogs can catalyze cross-regional dialogs for US specialty
   crop adaptation
SO SCIENTIFIC REPORTS
LA English
DT Article
ID TEMPERATURE; SCIENCE; PROJECTIONS; RISK
AB Communication theory suggests that interactive dialog rather than information transmission is necessary for climate change action, especially for complex systems like agriculture. Climate analogs-locations whose current climate is similar to a target location's future climate-have garnered recent interest as transmitting more relatable information; however, they have unexplored potential in facilitating meaningful dialogs, and whether the way the analogs are developed could make a difference. We developed climate context-specific analogs based on agriculturally-relevant climate metrics for US specialty crop production, and explored their potential for facilitating dialogs on climate adaptation options. Over 80% of US specialty crop counties had acceptable US analogs for the mid-twenty-first century, especially in the West and Northeast which had greater similarities in the crops produced across target-analog pairs. Western counties generally had analogs to the south, and those in other regions had them to the west. A pilot dialog of target-analog pairs showed promise in eliciting actionable adaptation insights, indicating potential value in incorporating analog-driven dialogs more broadly in climate change communication.
C1 [Chaudhary, Siddharth; Rajagopalan, Kirti; Stockle, Claudio O.] Washington State Univ, Dept Biol Syst Engn, Pullman, WA 99163 USA.
   [Kruger, Chad E.; Hall, Sonia A.] Washington State Univ, Ctr Sustaining Agr & Nat Resources, Wenatchee, WA USA.
   [Brady, Michael P.] Washington State Univ, Sch Econ Sci, Pullman, WA USA.
   [Fraisse, Clyde W.; Hoogenboom, Gerrit] Univ Florida, Dept Agr & Biol Engn, Gainesville, FL USA.
   [Gustafson, David, I; Melnick, Rachel L.] Agr & Food Syst Inst, Washington, DC USA.
   [Reyes, Julian] USDA Climate Hubs, Washington, DC USA.
   [Sulser, Timothy B.] Int Food Policy Res Inst, Washington, DC USA.
C3 Washington State University; Washington State University; Washington
   State University; State University System of Florida; University of
   Florida; CGIAR; International Food Policy Research Institute (IFPRI)
RP Rajagopalan, K (corresponding author), Washington State Univ, Dept Biol Syst Engn, Pullman, WA 99163 USA.
EM kirtir@wsu.edu
RI Hall, Sonia/HLH-3458-2023; Hoogenboom, Gerrit/F-3946-2010; Sulser,
   Timothy/AAJ-1776-2020
FU USDA NIFA AFRI award [2017-68002-26789]
FX This work was funded by the USDA NIFA AFRI award 2017-68002-26789. We
   thank Karen Lewis, Director of the Agriculture and Natural Resources
   Unit, Washington State University for helping organize the pilot
   workshop. We also thank Southeastern US and Texas research and extension
   professionals (Zilfina Rubio Ames-University of Georgia, Ali
   Sarkhosh-University of Florida, Brian Hayes-University of Georgia, Pam
   Knox-University of Georgia, Philip W. Shackelford-Texas A&M University,
   Hehe Wang-Clemson University, Joseph G. Masabni-Texas A&M University,
   Chris Oswalt-University of Florida) for participation in the workshop
   and for their feedback.
CR Abatzoglou JT, 2013, INT J CLIMATOL, V33, P121, DOI 10.1002/joc.3413
   Abatzoglou JT, 2012, INT J CLIMATOL, V32, P772, DOI 10.1002/joc.2312
   Alston JM, 2008, HORTSCIENCE, V43, P1461, DOI 10.21273/HORTSCI.43.5.1461
   [Anonymous], 2014, AGR ACT 2014 PUBLICL
   Atkinson CJ, 2013, ENVIRON EXP BOT, V91, P48, DOI 10.1016/j.envexpbot.2013.02.004
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Buizer J, 2016, P NATL ACAD SCI USA, V113, P4597, DOI 10.1073/pnas.0900518107
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Cook BR, 2019, GLOBAL ENVIRON CHANG, V56, P56, DOI 10.1016/j.gloenvcha.2019.03.001
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Doll JE, 2018, J EXT, V56
   Eike L, 2021, R PACKAGE VERSION 07
   Fitzpatrick MC, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08540-3
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Irwin A, 2014, ROUT INT HANDB, P160
   Knutti R, 2019, ONE EARTH, V1, P21, DOI 10.1016/j.oneear.2019.09.001
   Kukal MS, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25212-2
   Lee H, 2015, CLIMATIC CHANGE, V132, P723, DOI 10.1007/s10584-015-1436-9
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   LINVILL DE, 1990, HORTSCIENCE, V25, P14, DOI 10.21273/HORTSCI.25.1.14
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Mahony CR, 2017, GLOBAL CHANGE BIOL, V23, P3934, DOI 10.1111/gcb.13645
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Miller P., 2001, USING GROWING DEGREE, V59717, P994
   Neill CL, 2021, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.582834
   Nerlich B, 2010, WIRES CLIM CHANGE, V1, P97, DOI 10.1002/wcc.002
   Parker LE, 2020, PLANT SCI, V295, DOI 10.1016/j.plantsci.2019.110397
   Prokopy LS, 2008, J SOIL WATER CONSERV, V63, P300, DOI 10.2489/63.5.300
   Ramirez Villegas J., 2011, 12 CGIAR RES PROGR C
   Romero F, 2022, NEW PHYTOL, V234, P1553, DOI 10.1111/nph.17340
   Rosenzweig C, 2013, AGR FOREST METEOROL, V170, P166, DOI 10.1016/j.agrformet.2012.09.011
   Saxon E, 2005, ECOL LETT, V8, P53, DOI 10.1111/j.1461-0248.2004.00694.x
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Seifert CA, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/024002
   Specialty Crops Competitiveness Act, 2004, SPECIALTY CROPS COMP
   Stephenson G., 2003, J EXT, V41
   USDA NASS CDL. United States Department of Agriculture National Agriculture Statistics Service, 2020, US
   USDA NASS Census of Ag, 2017, 2017 CENS AGR
   Webb LB, 2013, AUST J GRAPE WINE R, V19, P331, DOI 10.1111/ajgw.12045
   Williams JW, 2007, P NATL ACAD SCI USA, V104, P5738, DOI 10.1073/pnas.0606292104
NR 41
TC 3
Z9 3
U1 2
U2 3
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JUN 8
PY 2023
VL 13
IS 1
AR 9317
DI 10.1038/s41598-023-35887-x
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA I8OA3
UT WOS:001005311300060
PM 37291159
OA gold, Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU Giroux, S
   Kaminski, P
   Waldman, K
   Blekking, J
   Evans, T
   Caylor, KK
AF Giroux, Stacey
   Kaminski, Patrick
   Waldman, Kurt
   Blekking, Jordan
   Evans, Tom
   Caylor, Kelly K.
TI Smallholder social networks: Advice seeking and adaptation in rural
   Kenya
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Social networks; Smallholders; Common pool resource; Adaptation
ID SEED EXCHANGE NETWORKS; CLIMATE-CHANGE; INFORMATION-SOURCES;
   DECISION-MAKING; ADOPTION; MAIZE; IMPACT; VARIABILITY; STRATEGIES;
   EASTERN
AB CONTEXT: Smallholder farmers in Africa are among those most impacted by climate change. Employing stra-tegies such as planting early maturing or drought tolerant hybrid seeds is one common climate adaptive strategy for these households. However, seed choice has become increasingly complex for farmers. One way farmers look for clarity about seeds is to consult with other farmers. OBJECTIVE: We investigate smallholders' advice seeking within the context of a community water project in rural Kenya, a type of community-based common pool resource management organization. We examine a maize seed advice seeking network and compare it with a more general advice seeking network to better understand the social networks of maize seed advice seeking, and to characterize how peer-to-peer advice networks might factor into farmer decision-making about seeds. METHODS: We use exponential random graph modeling for the maize seed advice and general advice networks to test what factors predict advice-seeking among farmers in 104, or 92% of households in the community water project.
C1 [Giroux, Stacey; Waldman, Kurt] Indiana Univ, Ostrom Workshop, 513 N Pk Ave, Bloomington, IN 47408 USA.
   [Giroux, Stacey] Indiana Univ, Dept Anthropol, 701 E Kirkwood Ave, Bloomington, IN 47405 USA.
   [Kaminski, Patrick] Indiana Univ, Dept Sociol, 1020 Kirkwood Ave, Bloomington, IN 47405 USA.
   [Kaminski, Patrick] Indiana Univ, Luddy Sch Informat Comp & Engn, 700 N Woodlawn Ave, Bloomington, IN 47408 USA.
   [Waldman, Kurt; Blekking, Jordan] Indiana Univ, Dept Geog, 701 E Kirkwood Ave, Bloomington, IN 47405 USA.
   [Evans, Tom] Univ Arizona, Sch Geog Dev & Environm, 1064 E Lowell St, Tucson, AZ 85721 USA.
   [Caylor, Kelly K.] Univ Santa Barbara, Dept Geog, 1832 Ellison Hall, Santa Barbara, CA 93106 USA.
C3 Indiana University System; Indiana University Bloomington; Indiana
   University System; Indiana University Bloomington; Indiana University
   System; Indiana University Bloomington; Indiana University System;
   Indiana University Bloomington; Indiana University System; Indiana
   University Bloomington; University of Arizona
RP Giroux, S (corresponding author), Indiana Univ, Ostrom Workshop, 513 N Pk Ave, Bloomington, IN 47408 USA.; Giroux, S (corresponding author), Indiana Univ, Dept Anthropol, 701 E Kirkwood Ave, Bloomington, IN 47405 USA.
EM sagiroux@indiana.edu
RI Caylor, Kelly/ABF-2818-2020; Blekking, Jordan/LCY-0679-2024
OI Kaminski, Patrick/0000-0002-2009-9170; Waldman, Kurt/0000-0002-9643-8378
FU United States National Science Foundation [WSC-Category 2 Collaborative]
   [1830752]; NSF-NRT grant [1735095]; Divn Of Social and Economic
   Sciences; Direct For Social, Behav & Economic Scie [1830752] Funding
   Source: National Science Foundation
FX Funding This research was supported by the United States National
   Science Foundation [WSC-Category 2 Collaborative #1830752; Patrick
   Kamin-ski is supported by NSF-NRT grant 1735095, Interdisciplinary
   Training in Complex Networks and Systems] .
CR Abay F, 2011, PLANT GENET RESOUR-C, V9, P495, DOI 10.1017/S1479262111000773
   Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Adhikari U, 2015, FOOD ENERGY SECUR, V4, P110, DOI 10.1002/fes3.61
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Aguilar-Gallegos N, 2015, AGR SYST, V135, P122, DOI 10.1016/j.agsy.2015.01.003
   Alexander SM, 2018, INT J COMMONS, V12, P519, DOI 10.18352/ijc.843
   Almekinders CJM, 2021, OUTLOOK AGR, V50, P406, DOI 10.1177/00307270211054211
   Andersson KP, 2008, POLICY SCI, V41, P71, DOI 10.1007/s11077-007-9055-6
   Ashour M., 2016, BELIEFS AGR INPUTS C
   Asrat S, 2010, ECOL ECON, V69, P2394, DOI 10.1016/j.ecolecon.2010.07.006
   Baldwin E, 2016, GOVERNANCE, V29, P207, DOI 10.1111/gove.12160
   Bandiera O, 2006, ECON J, V116, P869, DOI 10.1111/j.1468-0297.2006.01115.x
   Barnes ML, 2019, BIOL CONSERV, V238, DOI 10.1016/j.biocon.2019.108198
   Barnes ML, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09994-1
   Barnes-Mauthe M, 2013, ECOL SOC, V18, DOI 10.5751/ES-05295-180123
   Barriga A., 2018, RUHR EC PAPERS, V754, DOI [10.4419/86788876, DOI 10.4419/86788876]
   BIERSTEDT R, 1965, AM SOCIOL REV, V30, P789, DOI 10.2307/2091154
   Blau P.M., 1955, DYNAMICS BUREAUCRACY
   Blekking J, 2021, J ENVIRON PLANN MAN, V64, P359, DOI 10.1080/09640568.2020.1764342
   Boahene K, 1999, J POLICY MODEL, V21, P167, DOI 10.1016/S0161-8938(97)00070-7
   Borgatti S.P., 2018, Analyzing Social Networks
   Burnham M, 2016, CLIM DEV, V8, P289, DOI 10.1080/17565529.2015.1067180
   Cadger K, 2016, AGRICULTURE-BASEL, V6, DOI 10.3390/agriculture6030032
   Cairns JE, 2021, J CEREAL SCI, V101, DOI 10.1016/j.jcs.2021.103274
   Calvet-Mir L, 2016, ENVIRON SOC, V7, P107, DOI 10.3167/ares.2016.070107
   Carter M.R., 2014, 20465 NAT BUR EC RES
   Casciaro T, 2008, ADMIN SCI QUART, V53, P655, DOI 10.2189/asqu.53.4.655
   Chikobvu S., 2014, SOCIOECONOMICS PROGR
   COOMBS RH, 1966, J MARRIAGE FAM, V28, P166, DOI 10.2307/349275
   Coomes OT, 2015, FOOD POLICY, V56, P41, DOI 10.1016/j.foodpol.2015.07.008
   Cross R., 2001, CISC VIS NETW IND GL
   Davis K. E., 2008, Journal of International Agricultural and Extension Education, V15, P15
   Delêtre M, 2011, P NATL ACAD SCI USA, V108, P18249, DOI 10.1073/pnas.1106259108
   Di Falco S, 2013, WORLD DEV, V43, P100, DOI 10.1016/j.worlddev.2012.10.011
   Doreian P, 2012, SOC NETWORKS, V34, P32, DOI 10.1016/j.socnet.2010.09.002
   Duxbury SW, 2021, SOCIOL METHOD RES, V50, P491, DOI 10.1177/0049124118782543
   Eakin HC, 2009, CLIMATIC CHANGE, V93, P355, DOI 10.1007/s10584-008-9514-x
   Elias M., 2018, J GENDER AGR FOOD SE, V3, P54
   Faysse N, 2012, J AGRIC EDUC EXT, V18, P285, DOI 10.1080/1389224X.2012.670053
   Fisher M, 2015, CLIMATIC CHANGE, V133, P283, DOI 10.1007/s10584-015-1459-2
   Galizzi MM, 2019, FRONT PSYCHOL, V10, DOI 10.3389/fpsyg.2019.00342
   Gonzalez Gamboa V., 2014, THESIS G AUGUST U GO
   Harmer N, 2014, GEOGR COMPASS, V8, P808, DOI 10.1111/gec3.12180
   Isaac ME, 2007, ECOL SOC, V12
   Jarvis A, 2011, EXP AGR, V47, P185, DOI 10.1017/S0014479711000123
   Krivitsky P N., 2003, statnet: Software tools for the Statistical Modeling of Network Data
   Labeyrie V, 2016, P NATL ACAD SCI USA, V113, P98, DOI 10.1073/pnas.1513238112
   Lazarsfeld P. F., 1954, Freedom and Control in Modern Society, V18, P18, DOI DOI 10.1007/978-3-658-21742-676
   Lazega E, 1997, SOC NETWORKS, V19, P375, DOI 10.1016/S0378-8733(97)00006-3
   Lazega E, 2012, UTRECHT LAW REV, V8, P115, DOI 10.18352/ulr.198
   Lunduka R, 2012, FOOD POLICY, V37, P504, DOI 10.1016/j.foodpol.2012.05.001
   Lusher D., 2013, Exponential random graph models for social networks: Theory, methods, and applications
   Lynam J., 2010, FAO PLANT PRODUCTION
   Madureira L, 2022, J AGRIC EDUC EXT, V28, P549, DOI 10.1080/1389224X.2022.2123838
   Maertens A, 2013, AM J AGR ECON, V95, P353, DOI 10.1093/ajae/aas049
   Magnan N., 2015, Information Networks Among Women and Men and the Demand for an Agricultural Technology in India
   Martini E, 2017, AGROFOREST SYST, V91, P811, DOI 10.1007/s10457-016-0011-3
   Matuschke I, 2009, AGR ECON-BLACKWELL, V40, P493, DOI 10.1111/j.1574-0862.2009.00393.x
   McCann JamesC., 2005, MAIZE GRACE
   McCord P, 2017, ECOL SOC, V22, DOI 10.5751/ES-09156-220148
   McGuire SJ, 2008, HUM ECOL, V36, P217, DOI 10.1007/s10745-007-9143-4
   McPherson M, 2001, ANNU REV SOCIOL, V27, P415, DOI 10.1146/annurev.soc.27.1.415
   Mekonnen DA, 2018, WORLD DEV, V105, P321, DOI 10.1016/j.worlddev.2017.04.020
   Monge P. R., 2003, THEORIES COMMUNICATI
   Morris M.L., 1999, 9907 CIMMYT EC
   Morris Martina, 2008, J Stat Softw, V24, P1548
   Muange E.N., 2014, EAAE 2014 C AGR FOOD
   Mumo L, 2018, INT J PLANT PROD, V12, P297, DOI 10.1007/s42106-018-0027-x
   Munshi K, 2004, J DEV ECON, V73, P185, DOI 10.1016/j.jdeveco.2003.03.003
   Nahapiet J, 1998, ACAD MANAGE REV, V23, P242, DOI 10.2307/259373
   Nelson DR, 2011, WIRES CLIM CHANGE, V2, P113, DOI 10.1002/wcc.91
   Ngigi SN, 2007, LAND USE POLICY, V24, P129, DOI 10.1016/j.landusepol.2005.10.002
   Nyantakyi-Frimpong H, 2019, ECOL SOC, V24, DOI 10.5751/ES-10623-240105
   Ongoma V, 2017, METEOROL ATMOS PHYS, V129, P131, DOI 10.1007/s00703-016-0462-0
   OREILLY CA, 1982, ACAD MANAGE J, V25, P756, DOI 10.5465/256097
   Ortiz-Pelaez A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030710
   OSTROM E, 1993, J ECON PERSPECT, V7, P93, DOI 10.1257/jep.7.4.93
   Ostrom E, 1998, AM POLIT SCI REV, V92, P1, DOI 10.2307/2585925
   Ostrom E., 2003, Foundation of Social Capital
   Ostrom E., 1990, GOVERNING COMMONS EV
   Pautasso M, 2013, AGRON SUSTAIN DEV, V33, P151, DOI 10.1007/s13593-012-0089-6
   Rivera MT, 2010, ANNU REV SOCIOL, V36, P91, DOI 10.1146/annurev.soc.34.040507.134743
   Rogers E.M., 1963, DIFFUSION INNOVATION
   ROGERS EM, 1958, SOC FORCES, V36, P329, DOI 10.2307/2573971
   Rojas C, 2020, ECOL ECON, V174, DOI 10.1016/j.ecolecon.2020.106661
   Ryan B, 1943, RURAL SOCIOL, V8, P15
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Schmocker J, 2016, INT J CLIMATOL, V36, P1500, DOI 10.1002/joc.4438
   Sligo FX, 2005, J WORKPLACE LEARN, V17, P452, DOI 10.1108/13665620510620034
   Smale M, 2001, ECON DEV CULT CHANGE, V50, P201, DOI 10.1086/340010
   Smale M., 2013, MAIZE REVOLUTIONS SU, P165, DOI DOI 10.1007/978-94-007-5760-8_8
   Small ML, 2019, ANNU REV SOCIOL, V45, P111, DOI 10.1146/annurev-soc-073018-022707
   Solano C, 2003, AGR SYST, V76, P3, DOI 10.1016/S0308-521X(02)00074-4
   Statnet Development Team, 2019, EXPONENTIAL RANDOM G
   Stevens R, 2008, FOOD POLICY, V33, P341, DOI 10.1016/j.foodpol.2007.12.003
   Sutherland LA, 2022, J AGRIC EDUC EXT, V28, P525, DOI 10.1080/1389224X.2022.2121903
   Waldman KB, 2019, CLIMATIC CHANGE, V156, P527, DOI 10.1007/s10584-019-02498-3
   Waldman KB, 2017, GLOBAL ENVIRON CHANG, V47, P51, DOI 10.1016/j.gloenvcha.2017.09.007
   Waldman KB, 2014, FOOD POLICY, V46, P183, DOI 10.1016/j.foodpol.2014.03.015
   Wang P, 2016, METHODS SER, V12, P125, DOI 10.1007/978-3-319-24520-1_6
   WARRINER GK, 1992, J RURAL STUD, V8, P279, DOI 10.1016/0743-0167(92)90005-Q
   Wineman A, 2017, NJAS-WAGEN J LIFE SC, V81, P19, DOI 10.1016/j.njas.2017.02.002
   Wood BA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105203
   ,, 1950, Acceptance and diffusion of hybrid corn seed in two Iowa communities., P663
NR 104
TC 6
Z9 6
U1 2
U2 11
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 FEB
PY 2023
VL 205
AR 103574
DI 10.1016/j.agsy.2022.103574
EA DEC 2022
PG 13
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 7B5ZY
UT WOS:000899212100001
OA Bronze
DA 2025-01-10
ER

PT J
AU Noll, B
   Filatova, T
   Need, A
   de Vries, P
AF Noll, Brayton
   Filatova, Tatiana
   Need, Ariana
   de Vries, Peter
TI Uncertainty in individual risk judgments associates with vulnerability
   and curtailed climate adaptation
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Protection Motivation Theory; Theory of Planned Behavior; Adaptation;
   Floods; Risk-uncertain; Risk-aware
ID FLOOD RISK; RESILIENCE; PERCEPTION; MITIGATION; DECISIONS; BEHAVIOR;
   INFORMATION; PERSPECTIVE; INDICATORS; EMERGENCE
AB Risk assessments are key for the effective management of potential environmental threats. Across probabilistic phenomena, climate change is an exemplar of paramount uncertainties. These uncertainties have been em-braced in supporting governments' decisions; yet receive scarce attention when studying individual behavior. Analyzing a survey conducted in the USA, China, Indonesia, and the Netherlands (N=6242), we explore socio-economic, psychological, and behavioral differences between individuals who can subjectively assess risks, and those who are risk-uncertain. We find that risk-uncertain individuals are more likely to belong to societal subgroups classically considered as vulnerable, and have reduced capacities and intentions to adapt to hazards-specifically floods. The distinctions between risk-aware and risk-uncertain individuals indicate that ignoring differences in individuals' capacity to assess risks could amount to persistent vulnerability and undermine climate-resilience efforts. While we use floods emblematically, these finding have consequences for the standard practice of dropping or bootstrapping uncertain responses, irrespective of the hazard, with implications for environmental management.
C1 [Noll, Brayton; Filatova, Tatiana] Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands.
   [Need, Ariana; de Vries, Peter] Univ Twente, Fac Behav, Management & Social Sci, Twente, Netherlands.
C3 Delft University of Technology; University of Twente
RP Noll, B; Filatova, T (corresponding author), Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands.
EM B.L.Noll@tudelft.nl; T.Filatova@tudelft.nl
RI Filatova, Tatiana/K-8233-2016; de Vries, Peter/B-4888-2008
OI Filatova, Tatiana/0000-0002-3546-6930; Noll,
   Brayton/0000-0002-2962-3258; de Vries, Peter/0000-0001-9710-8752
FU European Research Council (ERC) under the European Union's Horizon 2020
   Research and Innovation Program [758014]; European Research Council
   (ERC) [758014] Funding Source: European Research Council (ERC)
FX This work was supported by the European Research Council (ERC) under the
   European Union's Horizon 2020 Research and Innovation Program (grant
   agreement number 758014) . We thank YouGov for their support with survey
   administration.
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Ajzen I, 1985, ACTION CONTROL COGNI, P11, DOI [10.1007/978-3-642-69746-32, DOI 10.1007/978-3-642-69746-32, 10.1007/978-3-642-69746-3_2, DOI 10.1007/978-3-642-69746-3_2]
   Almaatouq A, 2020, P NATL ACAD SCI USA, V117, P11379, DOI 10.1073/pnas.1917687117
   Andersen S, 2008, ECONOMETRICA, V76, P583, DOI 10.1111/j.1468-0262.2008.00848.x
   [Anonymous], 2021, MORE DETAIL YOUGOV R
   [Anonymous], 2020, YOUGOV PANEL
   Baas M, 2012, EMOTION, V12, P1004, DOI 10.1037/a0027358
   Babcicky P, 2021, INT J DISAST RISK RE, V58, DOI 10.1016/j.ijdrr.2021.102169
   Babcicky P, 2019, J RISK RES, V22, P1503, DOI 10.1080/13669877.2018.1485175
   Bamberg S, 2017, J ENVIRON PSYCHOL, V54, P116, DOI 10.1016/j.jenvp.2017.08.001
   Bandura A, 1998, PSYCHOL HEALTH, V13, P623, DOI 10.1080/08870449808407422
   Barron G, 2003, J BEHAV DECIS MAKING, V16, P215, DOI 10.1002/bdm.443
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bubeck P, 2012, J FLOOD RISK MANAG, V5, P295, DOI 10.1111/j.1753-318X.2012.01151.x
   Bubeck P, 2012, RISK ANAL, V32, P1481, DOI 10.1111/j.1539-6924.2011.01783.x
   Carr D., 2013, Handbook of Social Psychology, P465, DOI [DOI 10.1007/978-94-007-6772-0_16, 10.1007/978-94-007-6772-016, DOI 10.1007/978-94-007-6772-016]
   Centola D, 2010, SCIENCE, V329, P1194, DOI 10.1126/science.1185231
   Chau PH, 2014, J URBAN HEALTH, V91, P1048, DOI 10.1007/s11524-014-9901-8
   Chow CC, 2001, J RISK UNCERTAINTY, V22, P129, DOI 10.1023/A:1011157509006
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   De Groot K, 2018, FRONT PSYCHOL, V9, DOI 10.3389/fpsyg.2018.02194
   de Koning K, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6668
   Dolnicar S, 2014, INT J MARKET RES, V56, P33, DOI 10.2501/IJMR-2013-043
   Du SQ, 2020, GLOBAL ENVIRON CHANG, V61, DOI 10.1016/j.gloenvcha.2020.102037
   EFRON B, 1994, J AM STAT ASSOC, V89, P463, DOI 10.2307/2290846
   Ellis EM, 2018, J HEALTH COMMUN, V23, P967, DOI 10.1080/10810730.2018.1554729
   ELLSBERG D, 1961, Q J ECON, V75, P643, DOI 10.2307/1884324
   Fan KW, 2015, WIRES CLIM CHANGE, V6, P225, DOI 10.1002/wcc.331
   Faraji-Rad A, 2017, J CONSUM RES, V44, P1, DOI 10.1093/jcr/ucw073
   Fehr E, 2018, NAT HUM BEHAV, V2, P458, DOI 10.1038/s41562-018-0385-5
   FISCHHOFF B, 1993, ANNU REV PUBL HEALTH, V14, P183, DOI 10.1146/annurev.pu.14.050193.001151
   Flemming D, 2015, FRONT PSYCHOL, V6, DOI 10.3389/fpsyg.2015.01859
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gawith D, 2020, ECOL ECON, V173, DOI 10.1016/j.ecolecon.2020.106636
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Haer T, 2017, RISK ANAL, V37, P1977, DOI 10.1111/risa.12740
   Hanea A.M., 2018, IDEA UNCERTAINTY QUA
   Hanea AM, 2022, RISK ANAL, V42, P254, DOI 10.1111/risa.13718
   Harrington L.J., 2021, NATURE COMMUN, V12, P1
   Hertwig R, 2004, PSYCHOL SCI, V15, P534, DOI 10.1111/j.0956-7976.2004.00715.x
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Ingold K, 2017, ECOL ECON, V131, P414, DOI 10.1016/j.ecolecon.2016.08.033
   Intergovernmental Panel on Climate Change, 2014, CLIM CHANG 2014 MIT, DOI 10.1017/CBO9781107415416
   James E, 2008, DEV PRACT, V18, P424, DOI 10.1080/09614520802030607
   Jansen PCP, 2021, RISK ANAL, V41, P929, DOI 10.1111/risa.13632
   Jansen T, 2019, J RISK RES, V22, P658, DOI 10.1080/13669877.2018.1503614
   Jongman B, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04396-1
   KAHNEMAN D, 1984, AM PSYCHOL, V39, P341, DOI 10.1037/0003-066X.39.4.341
   KAHNEMAN D, 1992, ORGAN BEHAV HUM DEC, V51, P296, DOI 10.1016/0749-5978(92)90015-Y
   KASPERSON RE, 1988, RISK ANAL, V8, P177, DOI 10.1111/j.1539-6924.1988.tb01168.x
   Kettle NP, 2016, ENVIRON BEHAV, V48, P579, DOI 10.1177/0013916514551049
   Konstantinidis E, 2014, J EXP PSYCHOL GEN, V143, P2111, DOI 10.1037/a0037977
   Kuhlicke C, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1418
   Lerner JS, 2015, ANNU REV PSYCHOL, V66, P799, DOI 10.1146/annurev-psych-010213-115043
   Lin W., 2020, CHINAS INTERNET USER
   Machina M.J, 2014, RISK UNCERTAINTY
   Malik S, 2018, DISASTER MED PUBLIC, V12, P184, DOI [10.1017/dmp.2017.44, 10.1017/dmp]
   Mata R, 2018, J ECON PERSPECT, V32, P155, DOI 10.1257/jep.32.2.155
   Monasterolo I, 2019, ECOL ECON, V163, P177, DOI 10.1016/j.ecolecon.2019.05.012
   Montagni I, 2019, INT J SOC RES METHOD, V22, P651, DOI 10.1080/13645579.2019.1632026
   Muccione V, 2019, CURR OPIN ENV SUST, V39, P147, DOI 10.1016/j.cosust.2019.09.011
   Nabila M., 2019, APJII SURVEY INTERNE
   Noll B, 2022, RISK ANAL, V42, P2781, DOI 10.1111/risa.13897
   Noll B, 2022, NAT CLIM CHANGE, V12, P30, DOI 10.1038/s41558-021-01222-3
   Noll B, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101615
   Olazabal M, 2018, ENVIRON SCI POLICY, V83, P46, DOI 10.1016/j.envsci.2018.01.017
   Oppenheimer M, 2016, NAT CLIM CHANGE, V6, P445, DOI 10.1038/NCLIMATE2959
   Palmer C G, 1993, J Genet Couns, V2, P275, DOI 10.1007/BF00961576
   Rendell L, 2010, SCIENCE, V328, P208, DOI 10.1126/science.1184719
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Roy D., 2013, IGNORANCE LESSONS LA
   Rufat S, 2022, GLOBAL ENVIRON CHANG, V73, DOI 10.1016/j.gloenvcha.2022.102465
   Rufat S, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1462
   Seebauer S, 2020, RISK ANAL, V40, P1967, DOI 10.1111/risa.13531
   Slovic P, 2004, RISK ANAL, V24, P311, DOI 10.1111/j.0272-4332.2004.00433.x
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   Taberna A., 2020, Social-Environmental Systems Modeling, DOI DOI 10.18174/SESMO.2020A17938
   Tiedens LZ, 2001, J PERS SOC PSYCHOL, V81, P973, DOI 10.1037//0022-3514.81.6.973
   Turner MM, 2006, HUM COMMUN RES, V32, P130, DOI 10.1111/j.1468-2958.2006.00006.x
   TVERSKY A, 1992, J RISK UNCERTAINTY, V5, P297, DOI 10.1007/BF00122574
   Van Dijk E, 2006, J BEHAV DECIS MAKING, V19, P171, DOI 10.1002/bdm.504
   van Duinen R, 2016, ANN REGIONAL SCI, V57, P335, DOI 10.1007/s00168-015-0699-4
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   Vannette D., 2015, STOP INCLUDING DONT
   Wiering M, 2017, ENVIRON SCI POLICY, V73, P12, DOI 10.1016/j.envsci.2017.03.002
   Wilson R.S., 2020, INCREMENTAL TRANSFOR
   Windschitl PD, 1996, J EXP PSYCHOL-APPL, V2, P343, DOI 10.1037/1076-898X.2.4.343
   Wing OEJ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15264-2
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Young RebekahLynn., 2012, Don't Know Responses in Survey Research
   Yuan Y, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07089-x
   Zarekarizi M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19188-9
   Zeckhauser R.J., 2010, INVESTING UNKNOWN UN
   Zhang L, 2020, J ENVIRON PSYCHOL, V68, DOI 10.1016/j.jenvp.2020.101408
NR 100
TC 3
Z9 3
U1 2
U2 8
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD JAN 1
PY 2023
VL 325
AR 116462
DI 10.1016/j.jenvman.2022.116462
EA OCT 2022
PN A
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 6I3RD
UT WOS:000886044600004
PM 36272292
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Embke, HS
   Carpenter, SR
   Isermann, DA
   Coppola, G
   Beard, DT 
   Lynch, AJ
   Sass, GG
   Feiner, ZS
   Vander Zanden, MJ
AF Embke, Holly S.
   Carpenter, Stephen R.
   Isermann, Daniel A.
   Coppola, Giancarlo
   Beard, Douglas T., Jr.
   Lynch, Abigail J.
   Sass, Greg G.
   Feiner, Zachary S.
   Vander Zanden, M. Jake
TI Resisting ecosystem transformation through an intensive whole-lake fish
   removal experiment
SO FISHERIES MANAGEMENT AND ECOLOGY
LA English
DT Article
DE climate adaptation; climate change; fisheries; fresh water; natural
   resource management
ID LARGEMOUTH BASS; NORTHERN WISCONSIN; YELLOW PERCH; WALLEYE; RECRUITMENT;
   MANAGEMENT; OTOLITHS; HABITAT; GROWTH; PREDATION
AB Lake ecosystems are shifting due to many drivers including climate change and landscape-scale habitat disturbance, diminishing their potential to support some fisheries. Walleye Sander vitreus (Mitchill) populations, which support recreational and tribal fisheries across North America, have declined in some lakes. Climate change, harvest, invasive species and concurrent increases in warm-water fishes (e.g. Centrarchidae) may have contributed to declines. To test the utility of an intensive management action to resist walleye loss, an experimental removal of similar to 285,000 centrarchids from a 33-ha lake over 4 years was conducted while monitoring the fish community response. Centrarchid abundance declined arid yellow perch Perca fiavescens (Mitchill) increased, yet no evidence of walleye recruitment was observed. These findings explore the feasibility of intensive resistance as a management strategy in supporting walleye facing environmental change and provide a platform for management discussions to move beyond resist strategies in the Resist-Accept-Direct (RAD) framework to navigate ecosystem change.
C1 [Embke, Holly S.] US Geol Survey, Midwest Climate Adaptat Sci Ctr, 1954 Buford Ave, St Paul, MN 55108 USA.
   [Embke, Holly S.; Carpenter, Stephen R.; Feiner, Zachary S.; Vander Zanden, M. Jake] Univ Wisconsin, Ctr Limnol, Madison, WI 53706 USA.
   [Isermann, Daniel A.; Coppola, Giancarlo] US Geol Survey, Cooperat Fishery Res Unit, Stevens Point, WI USA.
   [Isermann, Daniel A.; Coppola, Giancarlo] Univ Wisconsin, Coll Nat Resources, Fisheries Anal Ctr, Stevens Point, WI 54481 USA.
   [Beard, Douglas T., Jr.; Lynch, Abigail J.] US Geol Survey, Natl Climate Adaptat Sci Ctr, 959 Natl Ctr, Reston, VA 22092 USA.
   [Sass, Greg G.] Wisconsin Dept Nat Resources, Off Appl Sci, Escanaba Lake Res Stn, Boulder Jct, WI USA.
   [Feiner, Zachary S.] Wisconsin Dept Nat Resources, Sci Operat Ctr, Off Appl Sci, Madison, WI USA.
C3 United States Department of the Interior; United States Geological
   Survey; University of Wisconsin System; University of Wisconsin Madison;
   United States Department of the Interior; United States Geological
   Survey; University of Wisconsin System; University of Wisconsin Stevens
   Point; United States Department of the Interior; United States
   Geological Survey
RP Embke, HS (corresponding author), US Geol Survey, Midwest Climate Adaptat Sci Ctr, 1954 Buford Ave, St Paul, MN 55108 USA.
EM hembke@wisc.edu
RI Coppola, Giancarlo/AAY-5014-2020; Lynch, Abigail/H-5059-2019; Feiner,
   Zachary/A-2117-2009
OI Lynch, Abigail J./0000-0001-8449-8392; Feiner,
   Zachary/0000-0001-7880-0778; Embke, Holly/0000-0002-9897-7068
FU USGS National Climate Adaptation Science Centers Program [G16AC00222];
   U.S. Fish and Wildlife Service, Federal Aid in Sportfish Restoration
   program; Wisconsin Department of Natural Resources
FX Y This research was supported by the USGS National Climate Adaptation
   Science Centers Program (USGS to University of Wisconsin system
   G16AC00222). Funding for G.G. Sass and Z. S. Feiner was provided by the
   U.S. Fish and Wildlife Service, Federal Aid in Sportfish Restoration
   program and the Wisconsin Department of Natural Resources
CR Ali M, 2003, FISH FISH, V4, P147, DOI 10.1046/j.1467-2979.2003.00120.x
   Beard T.D., 1997, North American Journal of Fisheries Management, V17, P621, DOI DOI 10.1577/1548-8675(1997)017<0621:P0ACRB>2.3.C0;2
   Beard TD, 2000, T AM FISH SOC, V129, P561, DOI 10.1577/1548-8659(2000)129<0561:EOAALH>2.0.CO;2
   Beard TD, 2003, T AM FISH SOC, V132, P382, DOI 10.1577/1548-8659(2003)132<0382:DOARSR>2.0.CO;2
   Bernes C, 2015, ENVIRON EVID, V4, DOI 10.1186/s13750-015-0032-9
   Boehm HIA, 2020, N AM J FISH MANAGE, V40, P910, DOI 10.1002/nafm.10452
   Bonar SA, 2009, STANDARD METHODS FOR SAMPLING NORTH AMERICAN FRESHWATER FISHES, P1
   Brandt EJ, 2022, N AM J FISH MANAGE, V42, P630, DOI 10.1002/nafm.10729
   Cahill CL, 2022, CAN J FISH AQUAT SCI, V79, P708, DOI 10.1139/cjfas-2021-0065
   Carpenter SR, 1998, SUCCESSES, LIMITATIONS, AND FRONTIERS IN ECOSYSTEM SCIENCE, P287
   CARPENTER SR, 1995, SCIENCE, V269, P324, DOI 10.1126/science.269.5222.324
   Carpenter SR, 2017, FISH FISH, V18, P1150, DOI 10.1111/faf.12230
   Carpenter SR, 2011, ANNU REV ENV RESOUR, V36, P75, DOI 10.1146/annurev-environ-021810-094524
   Chapman DG., 1951, Univ Calif Stat, V1, P60
   Christensen DL, 1996, ECOL APPL, V6, P1143, DOI 10.2307/2269598
   Cichosz T., 2017, Wisconsin Department of Natural Resources 2015-2016 Ceded Territory
   Dassow C.J., 2022, RESIST ACCEPT DIRECT
   Embke HS, 2020, FISHERIES, V45, P647, DOI 10.1002/fsh.10486
   Embke HS, 2019, P NATL ACAD SCI USA, V116, P24676, DOI 10.1073/pnas.1913196116
   Fayram AH, 2005, N AM J FISH MANAGE, V25, P1321, DOI 10.1577/M04-203.1
   Feiner ZS, 2022, FISHERIES MANAG ECOL, V29, P346, DOI 10.1111/fme.12549
   Feiner ZS, 2020, FISH RES, V230, DOI 10.1016/j.fishres.2020.105679
   FORNEY JL, 1974, T AM FISH SOC, V103, P15, DOI 10.1577/1548-8659(1974)103<15:IBYPAW>2.0.CO;2
   GABELHOUSE D W JR, 1987, North American Journal of Fisheries Management, V7, P81, DOI 10.1577/1548-8659(1987)7<81:ROLBAB>2.0.CO;2
   Gaeta JW, 2015, HYDROBIOLOGIA, V746, P433, DOI 10.1007/s10750-014-1916-3
   Gaeta JW, 2014, CAN J FISH AQUAT SCI, V71, P315, DOI 10.1139/cjfas-2013-0451
   Gaeta JW, 2013, N AM J FISH MANAGE, V33, P606, DOI 10.1080/02755947.2013.785997
   Gostiaux JC, 2022, N AM J FISH MANAGE, V42, P507, DOI 10.1002/nafm.10683
   Hansen GJA, 2020, BIOL INVASIONS, V22, P1481, DOI 10.1007/s10530-020-02198-5
   Hansen GJA, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2737
   Hansen GJA, 2018, CAN J FISH AQUAT SCI, V75, P106, DOI 10.1139/cjfas-2016-0249
   Hansen GJA, 2017, GLOBAL CHANGE BIOL, V23, P1463, DOI 10.1111/gcb.13462
   Hansen GJA, 2015, CAN J FISH AQUAT SCI, V72, P661, DOI 10.1139/cjfas-2014-0513
   Hansen JF, 2015, AM FISH S S, V82, P193
   Hansen Michael J., 1998, North American Journal of Fisheries Management, V18, P764, DOI 10.1577/1548-8675(1998)018<0764:FAROWI>2.0.CO;2
   HANSEN MJ, 1991, T AM FISH SOC, V120, P620, DOI 10.1577/1548-8659(1991)120<0620:DOSFFS>2.3.CO;2
   HL S CHRAMM., 1985, Proceedings of the Annual Conference of the Southeastern Association of Fish and Wildlife Agencies [1982, V36, P95
   HOYER MV, 1985, T AM FISH SOC, V114, P307, DOI 10.1577/1548-8659(1985)114<307:UOOTDA>2.0.CO;2
   Isermann DA, 2008, FISHERIES MANAG ECOL, V15, P259, DOI 10.1111/j.1365-2400.2008.00610.x
   Jackson ST, 2021, SCIENCE, V373, P1085, DOI 10.1126/science.abj6777
   Jacobson PC, 2013, ADV LIMNOL, V64, P323, DOI 10.1127/1612-166X/2013/0064-0005
   Kapuscinski Kevin L., 2010, Great Lakes Fishery Commission Technical Report, P15
   Kelling CJ, 2016, N AM J FISH MANAGE, V36, P621, DOI 10.1080/02755947.2016.1146179
   Lawson ZJ, 2022, N AM J FISH MANAGE, V42, P523, DOI 10.1002/nafm.10721
   Lynch A.J., 2022, FISHERIES MANAG ECOL
   Lynch AJ, 2022, BIOSCIENCE, V72, P45, DOI 10.1093/biosci/biab091
   Lynch AJ, 2021, FRONT ECOL ENVIRON, V19, P461, DOI 10.1002/fee.2377
   Lynch AJ, 2016, FISHERIES, V41, P346, DOI 10.1080/03632415.2016.1186016
   Marburg AE, 2006, J ECOL, V94, P558, DOI 10.1111/j.1365-2745.2006.01117.x
   Mehner T, 2002, FRESHWATER BIOL, V47, P2453, DOI 10.1046/j.1365-2427.2002.01003.x
   Mercado-Silva N, 2007, CAN J FISH AQUAT SCI, V64, P1543, DOI 10.1139/F07-112
   MITTELBACH G, 1986, ENVIRON BIOL FISH, V16, P159, DOI 10.1007/BF00005168
   Nesper L., 2002, The Walleye War: The Struggle for Ojibwe Spearfishing and Treaty Rights
   Post JR, 2013, FISHERIES MANAG ECOL, V20, P99, DOI 10.1111/fme.12008
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rahel FJ, 2022, FISHERIES, V47, P245, DOI 10.1002/fsh.10726
   Reid AJ, 2019, BIOL REV, V94, P849, DOI 10.1111/brv.12480
   Rypel AL, 2018, CAN J FISH AQUAT SCI, V75, P2291, DOI 10.1139/cjfas-2017-0311
   Sass GG, 2022, N AM J AQUACULT, V84, P267, DOI 10.1002/naaq.10237
   Sass GG, 2022, N AM J FISH MANAGE, V42, P535, DOI 10.1002/nafm.10716
   Sass GG, 2021, FISHERIES, V46, P266, DOI 10.1002/fsh.10584
   Sass GG, 2018, T AM FISH SOC, V147, P869, DOI 10.1002/tafs.10070
   SCHINDLER DW, 1974, SCIENCE, V184, P897, DOI 10.1126/science.184.4139.897
   SCHRAMM HL, 1989, T AM FISH SOC, V118, P546, DOI 10.1577/1548-8659(1989)118<0546:FOAIOO>2.3.CO;2
   Schuurman GW, 2022, BIOSCIENCE, V72, P16, DOI 10.1093/biosci/biab067
   Shaw SL, 2020, FISHERIES MANAG ECOL, V27, P544, DOI 10.1111/fme.12449
   Sikora LW, 2021, N AM J FISH MANAGE, V41, pS71, DOI 10.1002/nafm.10594
   Simonson T., 2008, Fisheries assessments-lakes 2007-09 sampling procedures
   Sullivan CJ, 2020, CAN J FISH AQUAT SCI, V77, P520, DOI 10.1139/cjfas-2019-0035
   Sullivan CJ, 2019, N AM J FISH MANAGE, V39, P714, DOI 10.1002/nafm.10305
   Thompson LM, 2021, FISHERIES, V46, P8, DOI 10.1002/fsh.10506
   Tingley RW, 2019, LAKE RESERV MANAGE, V35, P435, DOI 10.1080/10402381.2019.1678535
   Walters C, 2001, CAN J FISH AQUAT SCI, V58, P39, DOI 10.1139/cjfas-58-1-39
   WALTERS CJ, 1990, ECOLOGY, V71, P2060, DOI 10.2307/1938620
   Wegleitner EJ, 2017, N AM J FISH MANAGE, V37, P1304, DOI 10.1080/02755947.2017.1383324
   Weidel BC, 2007, T AM FISH SOC, V136, P778, DOI 10.1577/T06-091.1
NR 76
TC 14
Z9 18
U1 0
U2 20
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0969-997X
EI 1365-2400
J9 FISHERIES MANAG ECOL
JI Fisheries Manag. Ecol.
PD AUG
PY 2022
VL 29
IS 4
SI SI
BP 364
EP 377
DI 10.1111/fme.12544
EA MAR 2022
PG 14
WC Fisheries
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries
GA 2W6VU
UT WOS:000776224600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Boyce, GA
   Launius, S
   Williams, J
   Miller, T
AF Boyce, Geoffrey Alan
   Launius, Sarah
   Williams, Jill
   Miller, Todd
TI Alter-geopolitics and the feminist challenge to the securitization of
   climate policy
SO GENDER PLACE AND CULTURE
LA English
DT Article
DE Climate change; geopopulationism; migration; security; feminist
   geopolitics; alter-geopolitics; social movements
ID ENVIRONMENTAL JUSTICE; INDUCED MIGRATION; REFUGEES; DISCOURSES; RACISM
AB In the United States and beyond the challenges of global climate change are increasingly being governed via the militarization of nation-state borders rather than, or in addition to, the mitigation of carbon emissions and collective strategies for climate adaptation. In this article we apply the concept of "geopopulationism," introduced by Bhatia et al. (this issue), to think through the zero-sum Manichaean logics of traditional geopolitical calculation and the ways these become applied to climate governance via the securitization of climate change-related migration. In order to disrupt this securitization of climate policy, we draw on the insights of feminist geopolitics and what Koopman calls "alter-geopolitics" to consider how contemporary grassroots movements like the Sanctuary movement and #BlackLivesMatter have made connections between political, economic and environmental vulnerabilities while developing relationships of solidarity and care that broaden, disseminate, distribute and regenerate security as an expansive and inclusive project. We conclude by considering ways that scholars can continue to ally ourselves with and contribute to these grassroots efforts.
C1 [Boyce, Geoffrey Alan] Earlham Coll, Border Studies Program, 300 E Univ Blvd,Suite 270, Tucson, AZ 85705 USA.
   [Launius, Sarah] Univ Arizona, Sch Geog & Dev, Tucson, AZ USA.
   [Williams, Jill] Univ Arizona, Women Sci & Engn, Tucson, AZ USA.
C3 University of Arizona; University of Arizona
RP Boyce, GA (corresponding author), Earlham Coll, Border Studies Program, 300 E Univ Blvd,Suite 270, Tucson, AZ 85705 USA.
EM boycege@earlham.edu
OI Williams, Jill M/0000-0002-9957-9520
CR *AM IMM COUNC, 2015, SANCT CIT TRUST ACTS
   ANDREWS K, 2018, BLACKNESS EMPIRE MIG
   [Anonymous], [No title captured]
   Asafu-Adjaye John, 2015, An Ecomodernist Manifesto
   *BAJI, 2017, BLACK ALL JUST IMM H
   Baldwin A., 2014, Critical Studies on Security, V2, P121, DOI [DOI 10.1080/21624887.2014.943570, 10.1080/21624887.2014.943570]
   Baldwin A, 2013, ENVIRON PLANN A, V45, P1474, DOI 10.1068/a45388
   Baldwin Andrew., 2017, Life Adrift: Climate Change, Migration, Critique
   Berchin II, 2017, GEOFORUM, V84, P147, DOI 10.1016/j.geoforum.2017.06.022
   BERGER D, 2017, JACOBIN MAGAZIN 0829
   Bettini G, 2017, GEOGR J, V183, P348, DOI 10.1111/geoj.12192
   Bettini G, 2017, GLOB POLICY, V8, P33, DOI 10.1111/1758-5899.12404
   Bettini G, 2013, GEOFORUM, V45, P65, DOI 10.1016/j.geoforum.2012.09.009
   Bhatia R, 2020, GENDER PLACE CULT, V27, P333, DOI 10.1080/0966369X.2018.1553859
   Biermann F, 2010, GLOBAL ENVIRON POLIT, V10, P60, DOI 10.1162/glep.2010.10.1.60
   Bowen WM, 1995, ANN ASSOC AM GEOGR, V85, P641, DOI 10.1111/j.1467-8306.1995.tb01818.x
   Chaturvedi Sanjay., 2015, CLIMATE TERROR CRITI
   CHEMNICK J, 2016, OBAMA WARNS MASS MIG
   Cullors P., 2017, GUARDIAN
   Dalby S, 2014, GLOB POLICY, V5, P1, DOI 10.1111/1758-5899.12074
   Dalby S, 2013, POLIT GEOGR, V37, P38, DOI 10.1016/j.polgeo.2013.09.004
   Davidson Miriam., 1988, CONVICTIONS HEART JI
   DICHIRO G, 2017, ROUTLEDGE HDB GENDER, P509
   Dowler L., 2001, SPACE POLITY, V5, P165
   Farbotko C, 2012, GLOBAL ENVIRON CHANG, V22, P382, DOI 10.1016/j.gloenvcha.2011.11.014
   Fornalé E, 2017, GEOGR J, V183, P329, DOI 10.1111/geoj.12193
   Gilbert E, 2012, ACME, V11, P1
   GOODMAN A, 2015, DEMOCRACY NOW   1214
   GUERIN E, 2017, NATL PUBLIC RADIO
   Hartmann B, 2010, J INT DEV, V22, P233, DOI 10.1002/jid.1676
   Hernandez Roberto D., 2018, Coloniality of the U.S./Mexico Border: Power, Violence, and the Decolonial Imperative
   Hyndman J, 2004, POLIT GEOGR, V23, P307, DOI 10.1016/j.polgeo.2003.12.014
   Hyndman J, 2001, CAN GEOGR-GEOGR CAN, V45, P210, DOI 10.1111/j.1541-0064.2001.tb01484.x
   *INT ORG MIGR, 2017, MIGRATION CLIMATE CH
   Katz C, 2001, ANTIPODE, V33, P709, DOI 10.1111/1467-8330.00207
   Koopman S, 2011, GEOFORUM, V42, P274, DOI 10.1016/j.geoforum.2011.01.007
   Lynas Mark., 2011, GOD SPECIES SAVING P
   Massaro VA, 2013, GEOGR COMPASS, V7, P567, DOI 10.1111/gec3.12054
   McDonald M, 2013, POLIT GEOGR, V33, P42, DOI 10.1016/j.polgeo.2013.01.002
   Methmann C, 2015, SECUR DIALOGUE, V46, P51, DOI 10.1177/0967010614552548
   Miller Todd., 2017, Storming the Wall: Climate Change, Migration, and Homeland Security
   MOCK B, 2014, GRIST           1208
   Morrison Aaron., 2017, MIC
   Mountz Alison., 2006, WOMENS STUDIES Q, V34, P446
   *MOV BLACK LIV, 2016, MOV BLACK LIV
   *NAACP, 2017, ENV CLIM JUST
   PATTERSON J, 2010, THE ROOT
   Pellow DN, 2016, DU BOIS REV, V13, P221, DOI 10.1017/S1742058X1600014X
   Pellow DavidN., 2018, WHAT IS CRITICAL ENV
   Pulido L, 2000, ANN ASSOC AM GEOGR, V90, P12, DOI 10.1111/0004-5608.00182
   Pulido L, 1996, URBAN GEOGR, V17, P419, DOI 10.2747/0272-3638.17.5.419
   Pulido L, 2017, PROG HUM GEOG, V41, P524, DOI 10.1177/0309132516646495
   Reid Julian., 2014, Critical Studies on Security, V2, P196, DOI [DOI 10.1080/21624887.2014.943578, 10.1080/21624887.2014.943578]
   Schultz Susanne, 2010, Markets and Malthus: Population, Gender, and Health in Neo-liberal Times, P173
   Schwartz P., 2003, An Abrupt Climate Change Scenario and Its Implications for United States National Security
   SMITH D, 2014, COMMONDREAMS    0821
   Sparke M, 2000, POLIT GEOGR, V19, P373, DOI 10.1016/S0962-6298(99)00070-0
   Telford A, 2018, GEOFORUM, V96, P268, DOI 10.1016/j.geoforum.2018.08.021
   TRUMP, 2017, COMMUNICATION   0601
   *UNHCR, 2015, CLIM CHANG DIS
   *US DHS, 2014, 2014 QUADR HOM SEC R
   *US DOJ, 2017, TEMP PROT STAT
   Verges Francoise., 2017, FUTURES BLACK RADICA, P72
   Walia H., 2013, UNDOING BORDER IMPER
   White G., 2011, CLIMATE CHANGE MIGRA
   Wright W.J., 2018, Antipode
NR 66
TC 7
Z9 8
U1 4
U2 30
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0966-369X
EI 1360-0524
J9 GENDER PLACE CULT
JI Gend. Place Cult.
PD MAR 3
PY 2020
VL 27
IS 3
BP 394
EP 411
DI 10.1080/0966369X.2019.1620698
EA AUG 2019
PG 18
WC Geography; Women's Studies
WE Social Science Citation Index (SSCI)
SC Geography; Women's Studies
GA KQ7OK
UT WOS:000481320200001
DA 2025-01-10
ER

PT J
AU Seavy, NE
AF Seavy, N. E.
TI Physiological correlates of habitat association in East African sunbirds
   (Nectariniidae)
SO JOURNAL OF ZOOLOGY
LA English
DT Article
DE basal rate of metabolism; habitat association; Nectariniidae; sunbirds;
   thermal conductance
ID METABOLIC-RATE; TEMPERATURE REGULATION; CLIMATIC ADAPTATION;
   SOLAR-RADIATION; FOREST; ENERGETICS; BIRD; CONSTRAINTS
AB East African sunbirds (Nectariniidae) vary in the degree to which they use open habitats and forest habitats. Species that use open habitats may experience more extreme temperatures and greater exposure to solar radiation than those in forest habitats. Basal rates of metabolism, body temperature and thermal conductance were compared for open habitat- and forest-associated sunbirds from Kibale National Park, Uganda. Variation in basal rate of metabolism was associated with body mass, but there was no difference between forest and open habitat species. Variation in body temperature was not associated with body mass or habitat. Variation in thermal conductance was associated with body mass and habitat; open habitat species were characterized by significantly lower thermal conductances than forest species. Because reduced thermal conductance may decrease energy expenditure at low ambient temperatures and reduce exogenous heat gain at high ambient temperatures, this difference may optimize energy expenditure when temperatures are highly variable. This suggests a mechanism by which physiological characteristics may influence energetic consequences of habitat selection.
C1 Univ Florida, Dept Zool, Gainesville, FL 32611 USA.
   Klamath Bird Observ, Ashland, OR USA.
C3 State University System of Florida; University of Florida
RP Seavy, NE (corresponding author), Univ Florida, Dept Zool, Gainesville, FL 32611 USA.
EM nseavy@zoo.ufl.edu
CR Bonaccorso FJ, 1997, J MAMMAL, V78, P1073, DOI 10.2307/1383050
   Bowie RCK, 2004, AUK, V121, P660, DOI 10.1642/0004-8038(2004)121[0660:SABODS]2.0.CO;2
   CALDER WILLIAM A., 1964, PHYSIOL ZOOL, V37, P400
   Canterbury G, 2002, ECOLOGY, V83, P946, DOI 10.1890/0012-9658(2002)083[0946:MAACCO]2.0.CO;2
   Chapman CA, 2000, AM J PRIMATOL, V50, P169, DOI 10.1002/(SICI)1098-2345(200003)50:3<169::AID-AJP1>3.0.CO;2-P
   CHEKE RA, 1971, IBIS, V113, P500, DOI 10.1111/j.1474-919X.1971.tb05184.x
   Cheke RA., 2001, Sunbirds: A guide to the sunbirds, flowerpeckers, spiderhunters, and sugarbirds of the world
   Dale S, 2000, CONSERV BIOL, V14, P265, DOI 10.1046/j.1523-1739.2000.98340.x
   Delacour Jean, 1944, ZOOLOGICA [NEW YORK], V29, P17
   DEPOCAS F, 1957, J APPL PHYSIOL, V10, P388, DOI 10.1152/jappl.1957.10.3.388
   Didham RK, 1999, BIOTROPICA, V31, P17, DOI 10.1111/j.1744-7429.1999.tb00113.x
   ELLIS HI, 1980, PHYSIOL ZOOL, V53, P358, DOI 10.1086/physzool.53.4.30157874
   FELSENSTEIN J, 1985, AM NAT, V125, P1, DOI 10.1086/284325
   Fry C.H., 2000, BIRDS AFRICA, VVI
   HAILS CJ, 1983, CONDOR, V85, P61, DOI 10.2307/1367889
   Harvey PH., 1991, The Comparative Method in Evolutionary Biology
   HAYWORTH AM, 1984, CONDOR, V86, P19, DOI 10.2307/1367336
   HINDS DS, 1973, PHYSIOL ZOOL, V46, P55, DOI 10.1086/physzool.46.1.30152517
   Huey R.B., 1991, American Naturalist, V137, P91
   HURLBERT SH, 1984, ECOL MONOGR, V54, P187, DOI 10.2307/1942661
   IRWIN MPS, 1999, HONEYGUIDE, V41, P26
   Leon B, 1997, S AFR J ZOOL, V32, P31
   MALONEY SK, 1995, J THERM BIOL, V20, P381, DOI 10.1016/0306-4565(94)00073-R
   McKechnie AE, 2004, PHYSIOL BIOCHEM ZOOL, V77, P502, DOI 10.1086/383511
   McNab B.K., 2002, Physiological ecology of vertebrates: a view from energetics
   MCNAB BK, 1980, PHYSIOL ZOOL, V53, P145, DOI 10.1086/physzool.53.2.30152577
   McNab BK, 2001, AUK, V118, P916, DOI 10.1642/0004-8038(2001)118[0916:EOTABA]2.0.CO;2
   Merola-Zwartjes M, 2000, ECOLOGY, V81, P990, DOI 10.2307/177173
   Newmark WD, 2001, BIOTROPICA, V33, P2, DOI 10.1111/j.1744-7429.2001.tb00152.x
   POWERS DR, 1991, PHYSIOL ZOOL, V64, P850, DOI 10.1086/physzool.64.3.30158211
   PRINZINGER R, 1989, COMP BIOCHEM PHYS A, V92, P393, DOI 10.1016/0300-9629(89)90581-1
   ROOT T, 1988, ECOLOGY, V69, P330, DOI 10.2307/1940431
   SCHOLANDER PF, 1950, BIOL BULL-US, V99, P237, DOI 10.2307/1538741
   SINCLAIR I, 2004, BIRDS AFRICA S SAHAR
   STOUFFER PC, 1995, ECOLOGY, V76, P2429, DOI 10.2307/2265818
   STOUFFER PC, 1995, CONSERV BIOL, V9, P1085, DOI 10.1046/j.1523-1739.1995.9051072.x-i1
   Struhsaker T. T., 1997, Ecology of an African Rain Forest, DOI DOI 10.1017/S0266467498240399
   Walsberg G.E., 1985, P389
   WALSBERG GE, 1982, AUK, V99, P495
   Weathers WW, 1997, AUK, V114, P341, DOI 10.2307/4089237
   Weathers WW, 1998, CONDOR, V100, P365, DOI 10.2307/1370278
   WEATHERS WW, 1979, OECOLOGIA, V42, P81, DOI 10.1007/BF00347620
   WESTOBY M, 1995, J ECOL, V83, P531, DOI 10.2307/2261605
   Wolf BO, 1996, CONDOR, V98, P424, DOI 10.2307/1369162
   Wolf BO, 2000, AM ZOOL, V40, P575, DOI 10.1668/0003-1569(2000)040[0575:TROTPI]2.0.CO;2
   Wolf BO, 1996, ECOLOGY, V77, P2228, DOI 10.2307/2265716
NR 46
TC 7
Z9 8
U1 1
U2 19
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0952-8369
EI 1469-7998
J9 J ZOOL
JI J. Zool.
PD OCT
PY 2006
VL 270
IS 2
BP 290
EP 297
DI 10.1111/j.1469-7998.2006.00138.x
PG 8
WC Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Zoology
GA 083XQ
UT WOS:000240492600010
DA 2025-01-10
ER

PT J
AU Takacs, V
   Mizera, T
AF Takacs, Viktoria
   Mizera, Tadeusz
TI Thermo-modernization influences nest density of Common Swifts (<i>Apus
   apus</i>): determinants of nest site choices in Poznań, Poland
SO JOURNAL OF ORNITHOLOGY
LA English
DT Article; Early Access
DE Common Swift; <italic>Apus apus</italic>; Urban population; Urban bird
   habitat; Urban bird conservation; Urban environment
ID REGRESSION
AB At present rate of urbanization, it is particularly relevant to recognize the importance of urban species conservation. The Common Swift is highly adapted to urban conditions, with possibilities of ecosystem service provision. The aim of this study is to improve swift conservation via determining factors important in nest site choice, and colony density, with special attention to contemporary changes. The results of our study may be applicable for other cities and other urban bird species. A detailed survey was carried out in swift nesting sites in the old part of Poznan, Poland. To obtain information on spontaneous nesting site choices, we compared nesting sites to randomly assigned points within the same area (i) and assessed the drivers of nest aggregation tendency (ii). We used generalized linear models and random forest algorithms, to answer which habitat and nest site characteristics influence the occurrence and size of swift colonies. 387 swift nests were found (43.6 pairs/10 hectares). Swifts avoided areas with high green cover, preferred relatively high buildings, which were built before 1939, and avoided high car traffic. Larger groups of nests were found on areas, with a higher proportion of buildings lacking thermo-modernization (insulation during the last 10 years), despite extreme sun exposure. Although current legislation is in favor of species protection, we indicated some legislative pitfalls, mainly related to thermo-modernization. There is a need for careful assessment of all funding programs to achieve a win-win in terms of climate-change adaptation and urban species conservation.
   Thermische Geb & auml;udesanierung beeinflusst die Nestdichte des Mauerseglers (Apus apus): Parameter der Nestplatzwahl in Pozna & nacute;, PolenMit voranschreitender Urbanisierung gewinnen praktikable M & ouml;glichkeiten des st & auml;dtischen Artenschutzes an Bedeutung. Der Mauersegler ist eine Vogelart, die besonders gut an ein Leben unter st & auml;dtischen Bedingungen angepasst ist und zugleich wichtige & Ouml;kosystemleistungen f & uuml;r den urbanen Raum erbringt. Ziel dieser Studie ist es, Faktoren herauszuarbeiten, die f & uuml;r Nistplatzwahl und Koloniedichte von Bedeutung sind und damit einen Beitrag zum Mauerseglerschutz in Zeiten gro ss er Ver & auml;nderungen bei der innerst & auml;dtischen Sanierung zu leisten. Die Ergebnisse unserer Studie lassen sich m & ouml;glicherweise auf andere St & auml;dte und andere st & auml;dtische Vogelarten & uuml;bertragen. Es wurde eine detaillierte Untersuchung der Mauersegler-Nistpl & auml;tze in der Altstadt von Poznan, Polen, durchgef & uuml;hrt. Um Informationen & uuml;ber die spontane Wahl des Nistplatzes zu erhalten, verglichen wir die kartierten Nistpl & auml;tze mit zuf & auml;llig zugewiesenen Punkten innerhalb desselben Gebiets (i) und bewerteten die Faktoren, die eine Tendenz zugunsten einer Konzentration von Nestern beeinflussen (ii). Wir verwendeten verallgemeinerte lineare Modelle und Random-Forest-Algorithmen, um herauszufinden, welche Merkmale des Lebensraums und der Nistpl & auml;tze das Auftreten und die Gr & ouml;ss e von Mauerseglerkolonien beeinflussen. Es wurden 387 Mauerseglernester gefunden (43,6 Paare/10 Hektar). Mauersegler mieden Gebiete mit hohem Gr & uuml;nbewuchs, bevorzugten relativ hohe Geb & auml;ude, die vor 1939 gebaut wurden, und mieden Standorte mit starkem Autoverkehr. Gr & ouml;ss ere Gruppen von Nestern wurden auf Fl & auml;chen gefunden, die trotz extremer Sonneneinstrahlung einen h & ouml;heren Anteil an Geb & auml;uden ohne energetische Geb & auml;udemodernisierung (Isolierung in den letzten zehn Jahren) aufwiesen. Obwohl die derzeitige Gesetzgebung den Artenschutz beg & uuml;nstigt, weisen wir auf einige rechtliche Fallstricke hin, vor allem im Zusammenhang mit der thermischen Geb & auml;udesanierung. Um eine Win-Win-Situation mit Blick auf die Anpassung an den Klimawandel und den st & auml;dtischen Artenschutz zu erreichen, bedarf es einer sorgf & auml;ltigen Bewertung aller Finanzierungsprogramme in diesem Bereich.
C1 [Takacs, Viktoria; Mizera, Tadeusz] Poznan Univ Life Sci, Fac Vet Med & Anim Sci, Dept Zool, 71-C Wojska Polskiego, Poznan, Poland.
C3 Poznan University of Life Sciences
RP Takacs, V (corresponding author), Poznan Univ Life Sci, Fac Vet Med & Anim Sci, Dept Zool, 71-C Wojska Polskiego, Poznan, Poland.
EM vikitakacs3@gmail.com
FU HORIZON EUROPE Framework Programme
FX We are grateful to Wojciech Czarnowski for helping in fieldwork and to
   Andrew Drewitt, Dr Andrea Janossy and Prof Andras Janossy for language
   editing and to two anonymous reviewers for improving our MS.
CR Åkesson S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041195
   Andreasson F, 2018, J AVIAN BIOL, V49, DOI 10.1111/jav.01620
   Antonov Anton, 2002, Vogelwarte, V41, P231
   Arens Hans, 2011, Vogelwelt, V132, P153
   Biau G, 2016, TEST-SPAIN, V25, P197, DOI 10.1007/s11749-016-0481-7
   Bibby C.J., 2000, Bird census techniques
   BirdLife International, 2021, EUR RED LIST BIRDS
   BirdLife International, 2024, Species factsheet: Common Swift Apus apus
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Colombo Annalisa, 1993, Avocetta, V17, P1
   Corrales L, 2013, ARDEOLA, V60, P291, DOI 10.13157/arla.60.2.2013.291
   Cramp S., 1985, HDB BIRDS EUROPE MID, V4
   Cucco M., 1987, Avocetta, V11, P57
   Dommaschke N, 2023, Bericht im Rahmen des Projektes "Artenschutz am Gebaude
   Dormann CF, 2013, ECOGRAPHY, V36, P27, DOI 10.1111/j.1600-0587.2012.07348.x
   Dulisz B, 2022, BIODIVERS CONSERV, V31, P277, DOI 10.1007/s10531-021-02334-0
   Dunk K., 2013, GALATEA Berichte des Kreises Nrnberger Entomologen, V29, P119
   Ferguson-Lees J., 2011, A Field Guide to Monitoring Nests
   FOX J, 1992, J AM STAT ASSOC, V87, P178, DOI 10.2307/2290467
   Fox J., 2018, An R Companion to Applied Regression
   Grömping U, 2009, AM STAT, V63, P308, DOI 10.1198/tast.2009.08199
   Hedenström A, 2017, ANIM BEHAV, V127, P117, DOI 10.1016/j.anbehav.2017.03.010
   Hedrick TL, 2018, J EXP BIOL, V221, DOI 10.1242/jeb.186270
   Homeyer A., 1865, J Ornithol, V13, P311, DOI [10.1007/BF02261163, DOI 10.1007/BF02261163]
   Hothorn T, 2006, BIOSTATISTICS, V7, P355, DOI 10.1093/biostatistics/kxj011
   Husby M, 2017, ACTA ORNITHOL, V52, P93, DOI 10.3161/00016454AO2017.52.1.009
   Jamska K., 2014, Studia Biologica, V8, P205, DOI [10.30970/sbi.0801.331, DOI 10.30970/SBI.0801.331]
   Janiszewski T., 2009, Atlas ptakw lgowych odzi
   KAISER E, 1992, Vogelwelt, V113, P71
   Keller V., 2020, European Breeding Bird Atlas 2. Distribution, Abundance and
   Kopij Grzegorz, 2016, Vestnik Zoologii, V50, P163, DOI 10.1515/vzoo-2016-0019
   Lack D., 1952, British Birds, V45, P186
   Lack D., 1956, Swifts in the tower
   Leniewska D., 2000, Historyczna przestrze miejska dzielnicy Jeyce, P80
   Matisova S, 2015, Tichodroma27, P18
   Mattes H., 2012, Charadrius, V48, P66
   MuMIn BK, 2021, Multi-model inference
   Nord A, 2020, FRONT PHYSIOL, V11, DOI 10.3389/fphys.2020.00419
   Nowicki W., 2001, Ptaki rdmiecia Warszawy
   Olden JD, 2008, Q REV BIOL, V83, P171, DOI 10.1086/587826
   Olson CR, 2006, PHYSIOL BIOCHEM ZOOL, V79, P927, DOI 10.1086/506003
   Pettorelli N, 2021, J APPL ECOL, V58, P2384, DOI 10.1111/1365-2664.13985
   Prasad AM, 2006, ECOSYSTEMS, V9, P181, DOI 10.1007/s10021-005-0054-1
   Reynolds SJ, 2019, J ORNITHOL, V160, P841, DOI 10.1007/s10336-019-01657-8
   Rosin ZM, 2021, CONSERV LETT, V14, DOI 10.1111/conl.12843
   Rosin ZM, 2020, J APPL ECOL, V57, P467, DOI 10.1111/1365-2664.13566
   Schaub T, 2019, BIRD STUDY, V66, P519, DOI 10.1080/00063657.2020.1732862
   Schaub T, 2016, BIRD CONSERV INT, V26, P164, DOI 10.1017/S0959270914000525
   Schrimpf MB, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abf5073
   Team RC, 2021, R LANGUAGE ENV STAT
   Thibault Jean-Claude, 2023, Rivista Italiana di Ornitologia, V93, P3
   UNDESA, 2018, World Urbanization Prospects: The 2018 Revision
   von Blotzheim U.Glutz., 1971, HDB VOGEL MITTELEURO
   Wiegand T, 2014, CH HALL CRC APP ENV, P1
   Witt K., 2005, Birds in European cities, P17
   Witt Klaus, 2013, Berliner Ornithologischer Bericht, V23, P1
   Zuur A. F., 2009, Mixed effects models and extensions in ecology with R, V574, P574
NR 57
TC 0
Z9 0
U1 2
U2 2
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 2193-7192
EI 2193-7206
J9 J ORNITHOL
JI J. Ornithol.
PD 2024 DEC 23
PY 2024
DI 10.1007/s10336-024-02248-y
EA DEC 2024
PG 12
WC Ornithology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Zoology
GA Q0R7A
UT WOS:001381871500001
DA 2025-01-10
ER

PT J
AU Han, Y
   Lu, HF
   Qiao, DM
AF Han, Yang
   Lu, Hongfei
   Qiao, Dongmei
TI Integrated effects of meteorological factors, edaphic moisture,
   evapotranspiration, and leaf area index on the net primary productivity
   of Winter wheat-Summer maize rotation system
SO FIELD CROPS RESEARCH
LA English
DT Article
DE Net primary productivity; Meteorological factors; Edaphic moisture;
   Evapotranspiration; Leaf area index; Winter wheat -summer maize rotation
ID QINGHAI-TIBET PLATEAU; NORTH CHINA PLAIN; CLIMATE-CHANGE;
   CARBON-DIOXIDE; CROP YIELD; DROUGHT; WATER; TEMPERATURE; VEGETATION;
   ECOSYSTEM
AB Net primary productivity (NPP) assumes a pivotal role in the realm of plant growth, organic matter production, and carbon cycling. Nevertheless, the mechanism underlying the integrated effects of meteorological factors, soil water content (SWC), evapotranspiration (ET), and leaf area index (LAI) on the NPP in agricultural systems remains unclear. Elucidating the evolution pattern of NPP in agricultural system and its responding mechanism to meteorological factors, SWC, ET, and LAI hold pronounced significant for sustainable agricultural operation, agroecological maintenance, and climate-adaptive strategy optimization. This study focused on the winter wheat - summer maize rotation, a predominant agricultural system, in the North China Plain (NCP). Spatiotemporal pattern of NPP was clarified using geostatistical technique, Mann-Kendall test, Sen's Slope, and Rescaled Range analysis. The mechanism underlying the integrated response of NPP to different meteorological factors, SWC, ET, and LAI was revealed through spatiotemporal coupling correlation analysis, Random Forest, and Structural Equation Modeling. The results demonstrated a widespread annual increase in NPP across the majority of rotation areas from 2000 to 2019, with a prominent geospatial heterogeneity. Meteorological factors, SWC, ET, and LAI collectively explained 70.27% of NPP variability. Of which, ET, FAPAR, P, LAI, Tmax, Tmin, and the SWC in 40-100 cm were predominant factors affecting NPP, explaining 63.59% of its variability. These factors exerted multidimensional effects on NPP, instead of a unilateral induction. Despite the limited direct effect, precipitation indirectly improved NPP by significantly increasing the SWC in 40-100 cm soil horizon. The latter not only directly enhanced NPP, but also indirectly promoted NPP by facilitating ET. In context of drought and water deficit, maintaining adequate soil moisture in the 40-100 cm layer through irrigation emerges as a potential strategy to ensure sustainable productivity. ET exerted the greatest comprehensive effect and the largest direct promotion on NPP. LAI, FAPAR, and SWC induced NPP variation indirectly through affecting ET. These consistently underscored the major relationship between productivity and water use. Future intensive agriculture in the NCP should prioritize the trade-off between carbon sequestration and water loss at plant physiological level. Improving the carbon sequestration per unit of water consumption through optimizing the photosynthesistranspiration mechanism is an imperative climate-adaptative pathway for achieving sustainable food provision and mitigating water crisis.
C1 [Han, Yang; Lu, Hongfei; Qiao, Dongmei] Chinese Acad Agr Sci, Farmland Irrigat Res Inst, Xinxiang 453002, Peoples R China.
   [Lu, Hongfei] Jiangsu Vocat Coll Agr & Forestry, Jurong 212499, Peoples R China.
C3 Chinese Academy of Agricultural Sciences; Farmland Irrigation Research
   Institute, CAAS; Jiangsu Vocational College of Agriculture & Forestry
RP Han, Y; Qiao, DM (corresponding author), Chinese Acad Agr Sci, Farmland Irrigat Res Inst, Xinxiang 453002, Peoples R China.
EM 13940585693@163.com; qiaodongmei78@163.com
FU Science and Technology Plan- ning Project of Jiangsu Vocational College
   of Agriculture and Forestry [2022kj16]; Natural Science Foundation of
   Henan Province [212300410309]; Key Research and Development and
   Promotion Projects of Henan Province [212102110237]
FX This work was jointly funded by the Science and Technology Plan- ning
   Project of Jiangsu Vocational College of Agriculture and Forestry
   (2022kj16) , Natural Science Foundation of Henan Province (Grant No.
   212300410309) , and Key Research and Development and Promotion Projects
   of Henan Province (Grant No. 212102110237) .
CR Abebe A, 2016, AGR ECOSYST ENVIRON, V218, P66, DOI 10.1016/j.agee.2015.11.014
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   An X, 2022, ECOL INDIC, V141, DOI 10.1016/j.ecolind.2022.109157
   Anderegg WRL, 2013, NAT CLIM CHANGE, V3, P30, DOI 10.1038/nclimate1635
   [Anonymous], 2015, R Package Version 4
   Antala M, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154294
   Bai M, 2019, WATER-SUI, V11, DOI 10.3390/w11122568
   Baker JM, 2005, AGR FOREST METEOROL, V128, P163, DOI 10.1016/j.agrformet.2004.11.005
   Blain GC, 2015, ACTA SCI-AGRON, V37, P21, DOI 10.4025/actasciagron.v37i1.18199
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Castaño-Sánchez JP, 2020, AGR FOREST METEOROL, V291, DOI 10.1016/j.agrformet.2020.108093
   Ceschia E, 2010, AGR ECOSYST ENVIRON, V139, P363, DOI 10.1016/j.agee.2010.09.020
   Chen QM, 2018, LAND USE POLICY, V76, P1, DOI 10.1016/j.landusepol.2018.04.018
   Chen ST, 2021, J MT SCI-ENGL, V18, P427, DOI 10.1007/s11629-020-6404-9
   Chen XG, 2020, AGR SYST, V185, DOI 10.1016/j.agsy.2020.102955
   Cossu M, 2014, APPL ENERG, V133, P89, DOI 10.1016/j.apenergy.2014.07.070
   Dang HZ, 2021, AGR WATER MANAGE, V251, DOI 10.1016/j.agwat.2021.106857
   Datta D, 2022, FIELD CROP RES, V279, DOI 10.1016/j.fcr.2022.108450
   Dodangeh E, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.135983
   Domínguez-Tuda M, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126720
   Dubey PK, 2022, CURR RES ENVIRON SUS, V4, DOI 10.1016/j.crsust.2022.100127
   Emeksiz C, 2022, ENERGY, V238, DOI 10.1016/j.energy.2021.121764
   Ezaz GT, 2022, GLOBAL PLANET CHANGE, V208, DOI 10.1016/j.gloplacha.2021.103712
   Fuglie KO, 2018, GLOB FOOD SECUR-AGR, V17, P73, DOI 10.1016/j.gfs.2018.05.001
   Gao XY, 2019, AGR FOREST METEOROL, V276, DOI 10.1016/j.agrformet.2019.107652
   Ge WY, 2021, SCI TOTAL ENVIRON, V773, DOI 10.1016/j.scitotenv.2021.145648
   Getnet M, 2022, FIELD CROP RES, V278, DOI 10.1016/j.fcr.2022.108442
   Grace J.B., 2006, Structural Equation Modeling and Natural Systems
   Grillakis MG, 2019, SCI TOTAL ENVIRON, V660, P1245, DOI 10.1016/j.scitotenv.2019.01.001
   Guan YL, 2021, ECOL INDIC, V130, DOI 10.1016/j.ecolind.2021.108075
   Guo B, 2020, J ARID LAND, V12, P1, DOI 10.1007/s40333-019-0070-1
   Han LY, 2021, J ARID ENVIRON, V193, DOI 10.1016/j.jaridenv.2021.104596
   Han Y, 2022, SCI TOTAL ENVIRON, V823, DOI 10.1016/j.scitotenv.2022.153587
   Holzman ME, 2018, ISPRS J PHOTOGRAMM, V145, P297, DOI 10.1016/j.isprsjprs.2018.03.014
   Hou P, 2021, RESOUR CONSERV RECY, V174, DOI 10.1016/j.resconrec.2021.105811
   Hu LT, 1999, STRUCT EQU MODELING, V6, P1, DOI 10.1080/10705519909540118
   Hu XY, 2021, AGR FOREST METEOROL, V310, DOI 10.1016/j.agrformet.2021.108635
   Hu XY, 2017, AGR FOREST METEOROL, V247, P34, DOI 10.1016/j.agrformet.2017.07.014
   Huang WH, 2021, AGR WATER MANAGE, V256, DOI 10.1016/j.agwat.2021.107077
   HURST HE, 1951, T AM SOC CIV ENG, V116, P770
   Jiang P, 2022, J ENVIRON MANAGE, V301, DOI 10.1016/j.jenvman.2021.113768
   Jiang SZ, 2023, AGR WATER MANAGE, V287, DOI 10.1016/j.agwat.2023.108427
   Kamali B., 2015, EGU GEN ASSEM C ABST, P5187, DOI DOI 10.5194/HESSD-12-5187-2015
   Kang YH, 2009, PROG NAT SCI-MATER, V19, P1665, DOI 10.1016/j.pnsc.2009.08.001
   Kendall M.G., 1975, Rand Correlation Methods
   Kheir AMS, 2019, SCI TOTAL ENVIRON, V651, P3161, DOI 10.1016/j.scitotenv.2018.10.209
   Khorchani M, 2022, ENVIRON RES, V207, DOI 10.1016/j.envres.2021.112203
   Kwon H, 2008, AGR FOREST METEOROL, V148, P381, DOI 10.1016/j.agrformet.2007.09.010
   Lan X, 2021, AGR ECOSYST ENVIRON, V319, DOI 10.1016/j.agee.2021.107522
   Le N.D., 2006, SPR S STAT, P101
   Lee LX, 2023, AGR FOREST METEOROL, V333, DOI 10.1016/j.agrformet.2023.109389
   Li CQ, 2021, INT J APPL EARTH OBS, V103, DOI 10.1016/j.jag.2021.102467
   Li J, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.135541
   Li Z, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125355
   Li ZX, 2014, QUATERN INT, V336, P127, DOI 10.1016/j.quaint.2013.12.045
   Liang SL, 2021, B AM METEOROL SOC, V102, pE323, DOI 10.1175/BAMS-D-18-0341.1
   Linger E, 2020, FOREST ECOL MANAG, V467, DOI 10.1016/j.foreco.2020.118153
   [刘欢欢 Liu Huanhuan], 2018, [干旱地区农业研究, Agricultural Research in the Arid Areas], V36, P270
   Liu L., 2019, J ARID METEOROL, V37, P40
   Liu XF, 2018, J HYDROL, V564, P984, DOI 10.1016/j.jhydrol.2018.07.077
   Liu YY, 2019, SCI TOTAL ENVIRON, V652, P671, DOI 10.1016/j.scitotenv.2018.10.295
   Liu ZJ, 2021, AGR ECOSYST ENVIRON, V321, DOI 10.1016/j.agee.2021.107630
   Luo ZH, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10091352
   MANDELBR.BB, 1969, WATER RESOUR RES, V5, P967, DOI 10.1029/WR005i005p00967
   MANDELBROT BB, 1968, SIAM REV, V10, P422, DOI 10.1137/1010093
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Matheron G., 1963, Economic Geology, V58, P1246, DOI DOI 10.2113/GSECONGEO.58.8.1246
   Meng QM, 2013, CARTOGR GEOGR INF SC, V40, P28, DOI 10.1080/15230406.2013.762138
   Mo XG, 2017, ADV CLIM CHANG RES, V8, P93, DOI 10.1016/j.accre.2017.05.007
   Mota B, 2021, REMOTE SENS ENVIRON, V263, DOI 10.1016/j.rse.2021.112561
   Ofiti NOE, 2023, ENVIRON EXP BOT, V206, DOI 10.1016/j.envexpbot.2022.105182
   Peng J, 2012, ECOL INDIC, V14, P28, DOI 10.1016/j.ecolind.2011.08.011
   Piao SL, 2007, GLOBAL BIOGEOCHEM CY, V21, DOI 10.1029/2006GB002888
   Piao SL, 2010, ECOLOGY, V91, P652, DOI 10.1890/08-2176.1
   Pinke Z, 2022, EUR J AGRON, V140, DOI 10.1016/j.eja.2022.126579
   Ren DY, 2021, AGR WATER MANAGE, V243, DOI 10.1016/j.agwat.2020.106481
   Rodell M, 2004, B AM METEOROL SOC, V85, P381, DOI 10.1175/BAMS-85-3-381
   Rosa L, 2021, RENEW SUST ENERG REV, V138, DOI 10.1016/j.rser.2020.110511
   Rosseel Y, 2012, J STAT SOFTW, V48, P1, DOI 10.18637/jss.v048.i02
   Roux N, 2021, ECOL ECON, V181, DOI 10.1016/j.ecolecon.2020.106915
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Seneviratne SI, 2010, EARTH-SCI REV, V99, P125, DOI 10.1016/j.earscirev.2010.02.004
   Shi Ya-Fei, 2022, Shengtaixue Zazhi, V41, P1015, DOI 10.13292/j.1000-4890.202203.016
   Srinet R, 2023, ECOL MODEL, V475, DOI 10.1016/j.ecolmodel.2022.110185
   Sun HZ, 2022, INT J APPL EARTH OBS, V107, DOI 10.1016/j.jag.2022.102708
   Sun JX, 2023, WATER RES, V235, DOI 10.1016/j.watres.2023.119894
   Tang YK, 2021, AGR FOREST METEOROL, V300, DOI 10.1016/j.agrformet.2020.108310
   Tang ZG, 2017, ADV SPACE RES, V60, P969, DOI 10.1016/j.asr.2017.05.033
   Tao FL, 2022, AGR FOREST METEOROL, V316, DOI 10.1016/j.agrformet.2022.108865
   Teng MJ, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2020.136691
   Tkemaladze G. Sh, 2016, Annals of Agrarian Science, V14, P119, DOI 10.1016/j.aasci.2016.05.012
   Tong SQ, 2018, SCI TOTAL ENVIRON, V615, P1557, DOI 10.1016/j.scitotenv.2017.09.121
   Velpuri NM, 2013, REMOTE SENS ENVIRON, V139, P35, DOI 10.1016/j.rse.2013.07.013
   Vicente-Serrano SM, 2015, AGR FOREST METEOROL, V206, P45, DOI 10.1016/j.agrformet.2015.02.017
   Wang SS, 2018, ECOL INDIC, V87, P107, DOI 10.1016/j.ecolind.2017.12.047
   Wang YH, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108273
   Wang YW, 2020, LAND DEGRAD DEV, V31, P2490, DOI 10.1002/ldr.3623
   Wang YZ, 2011, COMPUT MATH APPL, V61, P2129, DOI 10.1016/j.camwa.2010.08.095
   Wing IS, 2021, J ENVIRON ECON MANAG, V109, DOI 10.1016/j.jeem.2021.102462
   Wu D, 2019, AGR WATER MANAGE, V214, P78, DOI 10.1016/j.agwat.2019.01.004
   Wu SH, 2018, RESOUR CONSERV RECY, V136, P179, DOI 10.1016/j.resconrec.2018.02.029
   Xiao DP, 2014, EUR J AGRON, V52, P112, DOI 10.1016/j.eja.2013.09.020
   Xiao ZQ, 2017, AGR FOREST METEOROL, V246, P218, DOI 10.1016/j.agrformet.2017.06.016
   Xiao ZQ, 2015, REMOTE SENS ENVIRON, V171, P105, DOI 10.1016/j.rse.2015.10.016
   Xie XY, 2023, INT J APPL EARTH OBS, V119, DOI 10.1016/j.jag.2023.103325
   Xie XY, 2019, SCI TOTAL ENVIRON, V690, P1120, DOI 10.1016/j.scitotenv.2019.06.516
   Xin Y, 2020, AGR ECOSYST ENVIRON, V291, DOI 10.1016/j.agee.2019.106791
   Xue JY, 2021, AGR WATER MANAGE, V250, DOI 10.1016/j.agwat.2021.106852
   Yang K, 2021, J ENVIRON MANAGE, V291, DOI 10.1016/j.jenvman.2021.112598
   Yang X, 2020, AGR WATER MANAGE, V229, DOI 10.1016/j.agwat.2019.105959
   You QL, 2020, GLOBAL PLANET CHANGE, V192, DOI 10.1016/j.gloplacha.2020.103261
   Yu DS, 2022, J CLEAN PROD, V367, DOI 10.1016/j.jclepro.2022.132789
   Yuan WP, 2014, J GEOPHYS RES-BIOGEO, V119, P881, DOI 10.1002/2014JG002608
   Yue DX, 2022, CATENA, V208, DOI 10.1016/j.catena.2021.105770
   Zhang H, 2021, SCI TOTAL ENVIRON, V751, DOI 10.1016/j.scitotenv.2020.141813
   Zhang L, 2021, J INTEGR AGR, V20, P2601, DOI 10.1016/S2095-3119(20)63273-7
   Zhang W, 2023, ECOL INDIC, V153, DOI 10.1016/j.ecolind.2023.110465
   Zhang XY, 2021, AGR WATER MANAGE, V247, DOI 10.1016/j.agwat.2020.106728
   Zhang ZQ, 2023, FOREST ECOL MANAG, V534, DOI 10.1016/j.foreco.2023.120853
   Zhao AZ, 2022, J HYDROL, V610, DOI 10.1016/j.jhydrol.2022.127903
   Zhao FB, 2022, AGR FOREST METEOROL, V316, DOI 10.1016/j.agrformet.2022.108842
   Zhao FB, 2019, J HYDROL, V568, P803, DOI 10.1016/j.jhydrol.2018.11.031
   Zhao HB, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110544
   Zhou YY, 2020, J ENVIRON MANAGE, V266, DOI 10.1016/j.jenvman.2020.110556
   Zhu P, 2022, AGR WATER MANAGE, V269, DOI 10.1016/j.agwat.2022.107735
NR 125
TC 8
Z9 8
U1 14
U2 57
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-4290
EI 1872-6852
J9 FIELD CROP RES
JI Field Crop. Res.
PD OCT 15
PY 2023
VL 302
AR 109080
DI 10.1016/j.fcr.2023.109080
EA AUG 2023
PG 15
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA P6GO8
UT WOS:001051641900001
DA 2025-01-10
ER

PT J
AU Churchill, DJ
   Larson, AJ
   Dahlgreen, MC
   Franklin, JF
   Hessburg, PF
   Lutz, JA
AF Churchill, Derek J.
   Larson, Andrew J.
   Dahlgreen, Matthew C.
   Franklin, Jerry F.
   Hessburg, Paul F.
   Lutz, James A.
TI Restoring forest resilience: From reference spatial patterns to
   silvicultural prescriptions and monitoring
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Spatial pattern; Resilience; Fuels treatments; Forest restoration;
   Climate analogs; Reference conditions
ID PONDEROSA PINE FORESTS; MIXED-CONIFER FORESTS; WESTERN NORTH-AMERICA;
   RESTORATION TREATMENTS; ECOLOGICAL RESTORATION; CLIMATE-CHANGE;
   DOUGLAS-FIR; VEGETATION DISTRIBUTION; BEETLE INFESTATIONS;
   WASHINGTON-STATE
AB Stand-level spatial pattern influences key aspects of resilience and ecosystem function such as disturbance behavior, regeneration, snow retention, and habitat quality in frequent-fire pine and mixed-conifer forests. Reference sites, from both pre-settlement era reconstructions and contemporary forests with active fire regimes, indicate that frequent-fire forests are complex mosaics of individual trees, tree clumps, and openings. There is a broad scientific consensus that restoration treatments should seek to restore this mosaic pattern in order to restore resilience and maintain ecosystem function. Yet, methods to explicitly incorporate spatial reference information into restoration treatments are not widely used. In addition, targets from reference conditions must be critically evaluated in light of climate change. We used a spatial clump identification algorithm to quantify reference patterns based on a specified inter-tree distance that defines when trees form clumps. We used climatic water balance parameters, down-scaled climate projections, and plant associations to assess our historical reference sites in the context of projected future climate and identify climate analog reference conditions. Spatial reference information was incorporated into a novel approach to prescription development, tree marking, and monitoring based on viewing stand structure and pattern in terms of individuals, clumps, and openings (ICO) in a mixed-conifer forest restoration case study. We compared the results from the ICO approach with simulations of traditional basal area and spacing-based thinning prescriptions in terms of agreement with reference conditions and functional aspects of resilience. The ICO method resulted in a distribution of tree clumps and openings within the range of reference patterns, while the basal area and spacing approaches resulted in uniform patterns inconsistent with known reference conditions. Susceptibility to insect mortality was lower in basal area and spacing prescriptions, but openings and corresponding opportunities for regeneration and in situ climate adaptation were fewer. Operationally, the method struck a balance between providing clear targets for spatial pattern directly linked to reference conditions, sufficient flexibility to achieve other restoration objectives, and implementation efficiency. The need to track pattern targets during implementation and provide immediate feedback to marking crews was a key lesson. The ICO method, especially when used in combination with climate analog reference targets, offers a practical approach to restoring spatial patterns that are likely to enhance resilience and climate adaptation. (C) 2012 Elsevier B.V. All rights reserved.
C1 [Churchill, Derek J.; Franklin, Jerry F.] Univ Washington, Coll Environm, Sch Environm & Forest Sci, Seattle, WA 98195 USA.
   [Larson, Andrew J.] Univ Montana, Coll Forestry & Conservat, Dept Forest Management, Missoula, MT 59812 USA.
   [Dahlgreen, Matthew C.] US Forest Serv, USDA, Wenatchee, WA 98801 USA.
   [Hessburg, Paul F.] US Forest Serv, USDA, Pacific NW Res Stn, Forestry Sci Lab, Wenatchee, WA 98801 USA.
   [Lutz, James A.] Univ Washington, Coll Environm, Seattle, WA 98195 USA.
C3 University of Washington; University of Washington Seattle; University
   of Montana System; University of Montana; United States Department of
   Agriculture (USDA); United States Forest Service; United States
   Department of Agriculture (USDA); United States Forest Service;
   University of Washington; University of Washington Seattle
RP Churchill, DJ (corresponding author), Univ Washington, Coll Environm, Sch Environm & Forest Sci, Seattle, WA 98195 USA.
EM derekch@uw.edu
RI Lutz, James/HZL-7641-2023
OI Lutz, James/0000-0002-2560-0710; LARSON, ANDREW/0000-0003-4926-7569;
   Hessburg, Paul Francis/0000-0002-0330-7230
FU NSF IGERT [DGE-0654252]
FX We thank Richy Harrod and Brad McRae for sharing data from their
   reconstruction plots. We thank David L. Peterson, Jon Bakker, Amy Waltz,
   Kerry Melten, and Rick Brown, and two anonymous reviewers for
   constructive and helpful reviews. We especially acknowledge Dave Lucas
   and Miles Porter for their willingness to do the tree marking and assist
   with stem mapping. Funding was provided by NSF IGERT Grant: DGE-0654252.
   Jodi Leingang from the Naches Ranger District of the Okanogan-Wenatchee
   National Forest provided key staffing resources. Bert Loosmore developed
   the R code for the clumping algorithm. Ryan Huago assisted with stem
   mapping.
CR Abella SR, 2009, CAN J FOREST RES, V39, P2391, DOI 10.1139/X09-146
   Abella SR, 2006, J FOREST, V104, P407
   Agee J., 1993, Fire Ecology of Pacific Northwest Forests
   Agee JK, 2005, FOREST ECOL MANAG, V211, P83, DOI 10.1016/j.foreco.2005.01.034
   Allen CD, 2002, ECOL APPL, V12, P1418
   [Anonymous], F14SOTP0399 USDA FOR
   [Anonymous], 2004, ECOLOGY SOC
   [Anonymous], 1996, AGR HDB
   [Anonymous], 2009, GEN TECHNICAL REPORT
   [Anonymous], GTRPNW628 USDA FOR S
   [Anonymous], 1957, CLIMATOLOGY
   [Anonymous], 2003, Statistical analysis of spatial point patterns
   Arno SF., 1995, AGE CLASS STRUCTURE
   Baddeley A, 2005, J STAT SOFTW, V12, P1, DOI 10.18637/jss.v012.i06
   Bailey JD, 2002, FOREST ECOL MANAG, V155, P271, DOI 10.1016/S0378-1127(01)00564-3
   Baron JS, 2009, ENVIRON MANAGE, V44, P1033, DOI 10.1007/s00267-009-9296-6
   Barret J.W., 1978, PNWRP232 USDA FOR SE
   Beaty RM, 2007, J VEG SCI, V18, P879, DOI 10.1111/j.1654-1103.2007.tb02604.x
   Bentz BJ, 2010, BIOSCIENCE, V60, P602, DOI 10.1525/bio.2010.60.8.6
   Binkley D., 2008, HIST FOREST STRUCTUR
   Binkley D, 2007, ECOL SOC, V12
   Boyden S, 2005, FOREST ECOL MANAG, V219, P43, DOI 10.1016/j.foreco.2005.08.041
   Carey AB, 2003, FORESTRY, V76, P127, DOI 10.1093/forestry/76.2.127
   Carnwath GC, 2012, FOREST ECOL MANAG, V285, P44, DOI 10.1016/j.foreco.2012.07.037
   Chmura DJ, 2011, FOREST ECOL MANAG, V261, P1121, DOI 10.1016/j.foreco.2010.12.040
   ClimateWNA, 2012, CLIMATEWNA PROGR GEN
   Cochran P.H., 1994, PNWRN513 USDA
   Collins BM, 2009, ECOSYSTEMS, V12, P114, DOI 10.1007/s10021-008-9211-7
   Contreras MA, 2011, FOREST ECOL MANAG, V262, P1939, DOI 10.1016/j.foreco.2011.08.031
   COOPER CF, 1960, ECOL MONOGR, V30, P130, DOI 10.2307/1948549
   Coops NC, 2011, ECOL MODEL, V222, P2119, DOI 10.1016/j.ecolmodel.2011.03.033
   Covington WW, 1997, J FOREST, V95, P23
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Daly C, 2010, INT J CLIMATOL, V30, P1857, DOI 10.1002/joc.2007
   DAUBENMIRE R, 1976, BOT REV, V42, P115, DOI 10.1007/BF02860720
   Dingman S.L., 2002, Physical Hydrology, V2nd, p464 pp
   Dodd NL, 2006, RESTOR ECOL, V14, P537, DOI 10.1111/j.1526-100X.2006.00165.x
   Dodson EK, 2008, FOREST ECOL MANAG, V255, P3130, DOI 10.1016/j.foreco.2008.01.026
   ESRI, 2012, ARCGIS DESKT 10 OV S
   Fajardo A, 2006, FOREST ECOL MANAG, V223, P255, DOI 10.1016/j.foreco.2005.11.022
   Fettig CJ, 2007, FOREST ECOL MANAG, V238, P24, DOI 10.1016/j.foreco.2006.10.011
   Finney MA, 2007, INT J WILDLAND FIRE, V16, P712, DOI 10.1071/WF06064
   Fortin MJ, 2005, SPATIAL ANALYSIS: A GUIDE FOR ECOLOGISTS
   Frankel JA, 2007, NBER INTERNATIONAL SEMINAR ON MACROECONOMICS 2005, P1
   Franklin J.F., 2008, The case for active management of dry forest types in eastern Washington: Perpetuating and creating old forest structures and functions
   Franklin J.F., 2012, J FORESTRY
   FRANKLIN JF, 1991, NORTHWEST ENVIRON J, V7, P233
   Fulé PZ, 2008, RESTOR ECOL, V16, P526, DOI 10.1111/j.1526-100X.2008.00489.x
   Gärtner S, 2008, FOREST ECOL MANAG, V256, P1666, DOI 10.1016/j.foreco.2008.05.053
   Gaines W.L., 2010, The Okanogan-Wenatchee National Forest Restoration Strategy: a process for guiding restoration projects within the context of ecosystem management
   Gersonde R, 2004, CAN J FOREST RES, V34, P1332, DOI 10.1139/X04-013
   Goheen D.J., 1993, P175
   Graham R. T., 2007, General Technical Report - Pacific Southwest Research Station, USDA Forest Service, P121
   Graham R.T., 2004, SCI BASIS CHANGING F
   Griesbauer HP, 2011, FOREST ECOL MANAG, V261, P589, DOI 10.1016/j.foreco.2010.11.012
   HAMRICK JL, 1989, AM J BOT, V76, P1559, DOI 10.2307/2444394
   Harrod RJ, 1999, FOREST ECOL MANAG, V114, P433, DOI 10.1016/S0378-1127(98)00373-9
   Hessburg P.F., 1994, PNWGTR327
   Hessburg PF, 2007, LANDSCAPE ECOL, V22, P5, DOI 10.1007/s10980-007-9098-2
   Hessburg PF, 2005, FOREST ECOL MANAG, V211, P117, DOI 10.1016/j.foreco.2005.02.016
   Hessburg PF, 2004, EMULATING NATURAL FOREST LANDSCAPED DISTURBANCES: CONCEPTS AND APPLICATIONS, P158
   Hessburg PF, 2003, FOREST ECOL MANAG, V178, P23, DOI 10.1016/S0378-1127(03)00052-5
   Hessburg PF, 1999, ECOL APPL, V9, P1232, DOI 10.1890/1051-0761(1999)009[1232:DCIFSP]2.0.CO;2
   Illian J., 2008, Statistics in Practice
   IPCC, 2007, CLIM CHANG 2007 WG 1
   Jain Theresa B., 2008, U S Forest Service Pacific Northwest Research Station General Technical Report PNW-GTR, P147
   Joyce LA, 2009, ENVIRON MANAGE, V44, P1022, DOI 10.1007/s00267-009-9324-6
   Kaufmann MR, 2007, ECOL SOC, V12
   Keane RE, 2009, FOREST ECOL MANAG, V258, P1025, DOI 10.1016/j.foreco.2009.05.035
   Knapp E., 2012, Managing Sierra Nevada Forests. Gen. Tech. Rep. PSW-GTR-237, P127
   Larson AJ, 2012, CAN J FOREST RES, V42, P1505, DOI [10.1139/X2012-100, 10.1139/x2012-100]
   Larson AJ, 2012, FOREST ECOL MANAG, V267, P74, DOI 10.1016/j.foreco.2011.11.038
   Larson AJ, 2008, CAN J FOREST RES, V38, P2814, DOI 10.1139/X08-123
   Levin SA, 1998, ECOSYSTEMS, V1, P431, DOI 10.1007/s100219900037
   Lillybridge T.R., 1995, GTR359 PNW RES STAT
   LINHART YB, 1981, HEREDITY, V46, P407, DOI 10.1038/hdy.1981.49
   Littell JS, 2008, ECOL MONOGR, V78, P349, DOI 10.1890/07-0712.1
   Littell JS, 2010, CLIMATIC CHANGE, V102, P129, DOI 10.1007/s10584-010-9858-x
   Littell JS, 2009, ECOL APPL, V19, P1003, DOI 10.1890/07-1183.1
   Loosmore NB, 2006, ECOLOGY, V87, P1925, DOI 10.1890/0012-9658(2006)87[1925:SIUTGO]2.0.CO;2
   Lundquist JD, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD007561
   Lutz JA, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036131
   Lutz JA, 2010, J BIOGEOGR, V37, P936, DOI 10.1111/j.1365-2699.2009.02268.x
   Lydersen J, 2012, ECOSYSTEMS, V15, P1134, DOI 10.1007/s10021-012-9573-8
   Lynch DL, 2000, J FOREST, V98, P17
   Ma SY, 2010, FOREST ECOL MANAG, V259, P904, DOI 10.1016/j.foreco.2009.11.030
   McKenzie D, 2003, J BIOGEOGR, V30, P1093, DOI 10.1046/j.1365-2699.2003.00921.x
   McKenzie D, 2009, DEV ENVIRONM SCI, V8, P319, DOI 10.1016/S1474-8177(08)00015-6
   Meador AJS, 2011, RESTOR ECOL, V19, P490, DOI 10.1111/j.1526-100X.2010.00652.x
   Meador AJS, 2009, J VEG SCI, V20, P79, DOI 10.1111/j.1654-1103.2009.05464.x
   Messier C., 2011, Italia Forestale e Montana, V66, P249
   Mitchell R.J., 2006, Canadian Journal of Forest Research, V40, P596
   Moore MM, 2006, RANGELAND ECOL MANAG, V59, P135, DOI 10.2111/05-051R2.1
   Moore MM, 1999, ECOL APPL, V9, P1266, DOI 10.1890/1051-0761(1999)009[1266:RCAERA]2.0.CO;2
   Moritz MA, 2011, ECOL STUD-ANAL SYNTH, V213, P51, DOI 10.1007/978-94-007-0301-8_3
   Negrón JF, 2004, FOREST ECOL MANAG, V191, P17, DOI 10.1016/j.foreco.2003.10.026
   North M.P., 2012, Managing Sierra Nevada Forests, P95
   North M, 2007, CAN J FOREST RES, V37, P331, DOI 10.1139/X06-236
   NRCS, 2009, SOIL SURV WEN NAT FO
   O'Hara KL, 2012, WEST J APPL FOR, V27, P143, DOI 10.5849/wjaf.11-042
   Odion DC, 2007, FOREST ECOL MANAG, V246, P57, DOI 10.1016/j.foreco.2007.03.050
   OHara KL, 1996, FOREST SCI, V42, P1
   Olsen WK, 1996, FOREST SCI, V42, P310
   Paine RT, 1998, ECOSYSTEMS, V1, P535, DOI 10.1007/s100219900049
   Parisien MA, 2010, LANDSCAPE ECOL, V25, P79, DOI 10.1007/s10980-009-9398-9
   Perry DA, 2011, FOREST ECOL MANAG, V262, P703, DOI 10.1016/j.foreco.2011.05.004
   Perry GLW, 2006, PLANT ECOL, V187, P59, DOI 10.1007/s11258-006-9133-4
   Peterson DL, 2011, ECOL STUD-ANAL SYNTH, V213, P249, DOI 10.1007/978-94-007-0301-8_10
   Peterson GD, 2002, ECOSYSTEMS, V5, P329, DOI 10.1007/s10021-001-0077-1
   Pimont F, 2011, ANN FOREST SCI, V68, P523, DOI 10.1007/s13595-011-0061-7
   Plotkin JB, 2002, AM NAT, V160, P629, DOI 10.1086/342823
   POWELL D.C., 2010, FIRE MANAGE TODAY, V70, P8
   Prichard SJ, 2010, CAN J FOREST RES, V40, P1615, DOI 10.1139/X10-109
   Puettmann K.J., 2009, CRITIQUE SILVICULTUR
   Rehfeldt GE, 2006, INT J PLANT SCI, V167, P1123, DOI 10.1086/507711
   Reineke LH, 1933, J AGRIC RES, V46, P0627
   Ripley B.D., 1988, Statistical Inference for Spatial Processes, DOI [10.1017/CBO9780511624131, DOI 10.1017/CBO9780511624131]
   Rogelj Joeri., 2009, Nature Climate Change, V1, P81, DOI DOI 10.1038/CLIMATE.2009.57
   Shafer SL, 2001, ECOSYSTEMS, V4, P200, DOI 10.1007/s10021-001-0004-5
   Shaw DC, 2005, CAN J FOREST RES, V35, P990, DOI 10.1139/X05-022
   Spies TA, 2010, LANDSCAPE ECOL, V25, P1185, DOI 10.1007/s10980-010-9483-0
   Stephens SL, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/2/024003
   Stephens SL, 2008, ECOL SOC, V13
   Stephens SL, 2009, ECOL APPL, V19, P305, DOI 10.1890/07-1755.1
   Stephenson NL, 1998, J BIOGEOGR, V25, P855, DOI 10.1046/j.1365-2699.1998.00233.x
   STEPHENSON NL, 1990, AM NAT, V135, P649, DOI 10.1086/285067
   Tappeiner J.C., 2007, SILVICULTURE ECOLOGY
   Taylor AH, 2003, ECOL APPL, V13, P704, DOI 10.1890/1051-0761(2003)013[0704:SPACOH]2.0.CO;2
   Taylor AH, 2010, J VEG SCI, V21, P561, DOI 10.1111/j.1654-1103.2009.01164.x
   Thaxton JM, 2006, ECOLOGY, V87, P1331, DOI 10.1890/0012-9658(2006)87[1331:SFVAFI]2.0.CO;2
   Turner MG, 2010, ECOLOGY, V91, P2833, DOI 10.1890/10-0097.1
   URBAN DL, 1987, BIOSCIENCE, V37, P119, DOI 10.2307/1310366
   USFS, 1998, UPP TIET WAT AN
   USFS, 2008, GLAZ FOR REST PROJ E
   Varhola A, 2010, J HYDROL, V392, P219, DOI 10.1016/j.jhydrol.2010.08.009
   Waltz AEM, 2003, FOREST SCI, V49, P885
   Wang TL, 2012, J APPL METEOROL CLIM, V51, P16, DOI 10.1175/JAMC-D-11-043.1
   WEAVER H, 1961, ECOLOGY, V42, P416, DOI 10.2307/1932097
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Wiegand T, 2004, OIKOS, V104, P209, DOI 10.1111/j.0030-1299.2004.12497.x
   Williams JW, 2007, P NATL ACAD SCI USA, V104, P5738, DOI 10.1073/pnas.0606292104
   Wynsma Barry, 2009, P135
   Yamada I, 2003, GEOGR ANAL, V35, P97, DOI 10.1353/geo.2003.0005
   York RA, 2004, CAN J FOREST RES, V34, P630, DOI 10.1139/X03-222
   Youngblood A, 2004, FOREST ECOL MANAG, V199, P191, DOI 10.1016/j.foreco.2004.05.056
   Youngblood A, 2006, FOREST ECOL MANAG, V234, P143, DOI 10.1016/j.foreco.2006.06.033
NR 146
TC 261
Z9 342
U1 3
U2 288
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 MAR 1
PY 2013
VL 291
BP 442
EP 457
DI 10.1016/j.foreco.2012.11.007
PG 16
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 115QR
UT WOS:000316827500046
DA 2025-01-10
ER

PT J
AU Prigoreanu, I
   Ungureanu, BA
   Ungureanu, G
   Ignat, G
AF Prigoreanu, Ioan
   Ungureanu, Bianca Antonela
   Ungureanu, George
   Ignat, Gabriela
TI Analysis of Sustainable Energy and Environmental Policies in Agriculture
   in the EU Regarding the European Green Deal
SO ENERGIES
LA English
DT Article
DE European Green Pact; sustainable agriculture; energy policies;
   environmental policies; ecological transition; climate targets
AB The paper analyzes energy and environmental policies in agriculture in the context of the European Green Deal, emphasizing the contribution of the Common Agricultural Policy in supporting sustainability objectives. The study explores how Member States implement specific measures to reduce greenhouse gas emissions, conserve natural resources, and protect biodiversity by 2030. The analysis focuses on three main objectives: reducing emissions and adapting to climate and energy changes, managing natural resources sustainably and ensuring energy efficiency, and promoting organic farming and conserving biodiversity. Using a methodology that aligns Green Deal goals with CAP measures, this research involves a comparative analysis between Member States, highlighting disparities in policy implementation, particularly between Eastern and Western Europe, suggesting that a coordinated EU approach is needed to support equitable progress. The paper provides a detailed perspective on the progress made and offers recommendations for harmonizing agricultural policies in the EU, supporting farmers in adopting ecological and energy efficient practices, and ensuring a consistent approach in achieving Green Deal objectives by 2030.
C1 [Prigoreanu, Ioan; Ungureanu, Bianca Antonela; Ungureanu, George; Ignat, Gabriela] Univ Life Sci Ion Ionescu Brad, Fac Agr, Dept Agroecon, Iasi 700489, Romania.
RP Ungureanu, BA; Ungureanu, G (corresponding author), Univ Life Sci Ion Ionescu Brad, Fac Agr, Dept Agroecon, Iasi 700489, Romania.
EM ioan.prigoreanu@iuls.ro; bianca.ungureanu@iuls.ro;
   george.ungureanu@iuls.ro; gabriela.ignat@iuls.ro
CR [Anonymous], 2022, A European green deal
   Cagliero R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105528
   Cagliero R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073997
   Chartier O., 2023, Mapping and Analysis of CAP Strategic PlansAssessment of Joint Efforts for 20232027, DOI [10.2762/71556, DOI 10.2762/71556]
   Ciot MG, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14073947
   Ciot MG, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132112233
   Dinca G, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16010072
   Dönmez D, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16083505
   Dupr M., 2020, Green Eur. J
   Eckert E, 2021, J RISK FINANC MANAG, V14, DOI 10.3390/jrfm14020080
   Elshaer IA, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151411462
   Estelle M., 2023, Environmental and Climate Assessments of CAP Strategic Plans. Summary of Impact Based on Four Key Member States
   eur-lex.europa, Directive (EU) 2001/2018 on the Promotion of the Use of Energy from Renewable Sources, Prior to the Amendment by Directive (EU) 2023/2413
   eur-lex.europa, Regulation (EU) 2018/1999 of the European Parliament and of the Council of 11 December 2018 on the Governance of the Energy Union and Climate Action, Amending Regulations (EC) No 663/2009 and (EC) No 715/2009 of the European Parliament and of the Council, Directives 94/22/EC, 98/70/EC, 2009/31/EC, 2009/73/EC, 2010/31/EU, 2012/27/EU and 2013/30/EU of the European Parliament and of the Council, Council Directives 2009/119/EC and (EU) 2015/652 and Repealing Regulation (EU) No 525/2013 of the European Parliament and of the Council
   eur-lex.europa, Regulation (EU) 2021/2115 of the European Parliament and of the Council of 2 December 2021 Establishing Rules on Support for Strategic Plans to Be Drawn Up by Member States Under the Common Agricultural Policy (CAP Strategic Plans) and Financed by the European Agricultural Guarantee Fund (EAGF) and by the European Agricultural Fund for Rural Development (EAFRD) and Repealing Regulations (EU) No 1305/2013 and (EU) No 1307/2013
   eur-lex.europa, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. Renovation Wave for Europe-Greening Our Buildings, Creating Jobs, Improving Lives
   eur-lex.europa, Directive (EU) 2023/1791 of the European Parliament and of the Council of 13 September 2023 on Energy Efficiency and Amending Regulation (EU) 2023/955 (Recast)
   eur-lex.europa, Regulation (EU) 2018/842 of the European Parliament and of the Council of 30 May 2018 on Binding Annual Greenhouse Gas Emission Reductions by Member States from 2021 to 2030 Contributing to Climate Action to Meet Commitments Under the Paris Agreement and Amending Regulation (EU) No 525/2013 and Regulation (EU) 2018/841 of the European Parliament and of the Council of 30 May 2018 on the Inclusion of Greenhouse Gas Emissions and Removals from Land Use, Land Use Change and Forestry in the 2030 Climate and Energy Framework, and Amending REGULATION (EU) No 525/2013 and Decision No 529/2013/EU
   eur-lex.europa, Regulation 2021/2115-Rules on Support for Strategic Plans to Be Drawn Up by Member States Under the Common Agricultural Policy (CAP Strategic Plans) and Financed by the European Agricultural Guarantee Fund (EAGF) and by the European Agricultural Fund for Rural Development (EAFRD)
   European Commission, 2021, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions Europes Media in the Digital Decade: An Action Plan to Support Recovery and Transformation
   European Commission, 2024, At a Glance:Austria's CAP Strategic Plan
   European Commission, 2024, At a Glance:Croatia's CAP Strategic Plan
   European Commission, 2024, At a Glance:Cyprus's CAP Strategic Plan
   European Commission, 2024, At a Glance:Romania's CAP Strategic Plan
   European Commission, 2024, At a Glance:Portugal's CAP Strategic Plan
   European Commission, 2024, At a Glance: Belgium (Flanders) CAP Strategic Plan
   European Commission, 2024, At a Glance:Luxembourg's CAP Strategic Plan
   European Commission, 2023, At a Glance:Ireland's CAP Strategic Plan
   European Commission, 2023, At a Glance:Latvia's CAP Strategic Plan
   European Commission, 2023, At a Glance:Spain's CAP Strategic Plan
   European Commission, 2023, At a Glance:Malta's CAP Strategic Plan
   European Commission, 2023, At a Glance:Denmark's CAP Strategic Plan
   European Commission, 2024, At a Glance:Bulgaria's CAP Strategic Plan
   European Commission, 2024, At a Glance:Lithuania's CAP Strategic Plan
   European Commission, 2023, At a Glance:Slovenia's CAP Strategic Plan
   European Commission, 2024, At a Glance:Sweden's CAP Strategic Plan
   European Commission, 2024, At a Glance:Germany's CAP Strategic Plan
   European Commission, 2024, At a Glance:Greece's CAP Strategic Plan
   European Commission, 2024, At a Glance:Estonia's CAP Strategic Plan
   European Commission, 2023, At a Glance:Finland's CAP Strategic Plan
   European Commission, 2024, At a Glance: Belgium (Wallonia) CAP Strategic Plan
   European Commission At a Glance, 2024, The Netherlands' CAP Strategic Plan
   European Commission At a Glance, 2023, Poland's CAP Strategic Plan
   European Commission At a Glance, 2024, France's CAP Strategic Plan
   European Commission CAP Strategic Plans, 2024, European Union
   European Court of Auditors, Opinion No 5/2018 (Pursuant to Articles 287(4) and 322(2) TFEU) Concerning: (a) the Proposal for a Council Decision on the System of Own Resources of the European Union (COM(2018) 325 Final); (b) the Proposal for a Council Regulation on the Methods and Procedure for Making Available the Own Resources Based on the Common Consolidated Corporate Tax Base, on the European Union Emissions Trading System and on Plastic Packaging Waste That Is Not Recycled, and on the Measures to Meet Cash Requirements (COM(2018) 326 Final); and (c) the Proposal for a Council Regulation Amending Regulation (EEC, Euratom) No 1553/89 on the Definitive Uniform Arrangements for the Collection of Own Resources Accruing from Value Added Tax (COM(2018) 328 Final)
   Faichuk O, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14073712
   Fuchs R, 2020, NATURE, V586, P671, DOI 10.1038/d41586-020-02991-1
   Fusco G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910650
   Futa B, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16219481
   Gay S.H., 2005, MEACAP-WP6 D4b. Specific Targeted Research Project SSPE-CT-2004-503604. Sixth Framework Programme
   Grubler J., 2021, Are EU Trade Agreements in Line with the European Green Deal?
   Guyomard H, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-01019-6
   Guyomard H, 2023, AMBIO, V52, P1327, DOI 10.1007/s13280-023-01861-0
   Heinrich B, 2013, GAIA, V22, P20, DOI 10.14512/gaia.22.1.7
   Hurduzeu G, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142315798
   Ignat G, 2024, ENERGIES, V17, DOI 10.3390/en17194879
   Isbasoiu A., 2023, CAP Strategic Plans of the EU Member StatesCSPs Master File and Key Data, DOI [10.2760/3104919, DOI 10.2760/3104919]
   Kattelmann F, 2021, ENERGIES, V14, DOI 10.3390/en14237971
   Kelch D., 2004, Raport Electronic WRS-04-07
   Kettunen M., 2020, An EU Green Deal for Trade Policy and the Environment: Aligning Trade with Climate and Sustainable Development Objectives
   Kiryluk-Dryjska E, 2022, ENERGIES, V15, DOI 10.3390/en15134529
   Krajewski S, 2024, AGRICULTURE-BASEL, V14, DOI 10.3390/agriculture14030477
   Kyriakopoulos GL, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13042216
   Lankauskiene R, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141911912
   Quero AL, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159261
   Liobikiene G, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15097139
   Luyckx M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142012968
   Marcelino SM, 2024, AGRIENGINEERING, V6, P1175, DOI 10.3390/agriengineering6020067
   Mata F, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16103970
   Mikhailova EA, 2024, SOIL SYST, V8, DOI 10.3390/soilsystems8010029
   Ossewaarde M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12239825
   Pawlowska A, 2021, ENERGIES, V14, DOI 10.3390/en14248242
   Pilvere I, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12122028
   Prandecki K, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131810318
   Roxani A, 2023, LAND-BASEL, V12, DOI 10.3390/land12051069
   Rudnicki R, 2023, ENERGIES, V16, DOI 10.3390/en16041770
   Salvan MG, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12040798
   Sihlobo W., 2021, The EU's Green Deal: Opportunities, Threats and Risks for South African Agriculture
   Sztorc M, 2022, ENERGIES, V15, DOI 10.3390/en15072662
   Testi A, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su152015098
   Toma E, 2023, AGRICULTURE-BASEL, V13, DOI 10.3390/agriculture13091656
   Verschuuren J, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16125091
   Wieliczko B, 2022, ENERGIES, V15, DOI 10.3390/en15010257
   Wieliczko B, 2021, ENERGIES, V14, DOI 10.3390/en14165050
   Wolf Sarah, 2021, Inter Econ, V56, P99, DOI 10.1007/s10272-021-0963-z
   Zielinski M, 2024, AGRICULTURE-BASEL, V14, DOI 10.3390/agriculture14081325
NR 87
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD DEC
PY 2024
VL 17
IS 24
AR 6428
DI 10.3390/en17246428
PG 31
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA Q8G6Z
UT WOS:001386997900001
OA gold
DA 2025-01-10
ER

PT B
AU Monteiro, A
AF Monteiro, Ana
BE Lourenco, L
TI RISKS WITH A FOOT ON THE GROUND OR THE HEAD IN THE AIR: THE H2020 AS AN
   OPPORTUNITY TO REDUCE THE BIOCLIMATIC DISCOMFORT RISKS IN URBAN SPACES
SO GEOGRAFIA, PAISAGEM E RISCOS: LIVRO DE HOMENAGEM AO PROF. DOUTOR ANTONIO
   PEDROSA
SE Riscos e Catastrofes
LA Portuguese
DT Article; Book Chapter
DE 2020 Strategy; climate risks; extreme cold events; stroke; Physiological
   Equivalent Temperature (PET)
AB The European Union (EU) has chosen to adapt to climate risks as an explicit priority in its 2020 strategy. However, it is common to conclude that this concern should focus mainly on the increased frequency of extreme heat events since it is predicted a time of global warming. However, the analysis of intra- and inter-annual behaviour of temperature and of social and economic vulnerabilities in Europe's southern countries advises a focus also in cold extreme events. The combined daily analysis of temperature rhythm and mortality (all causes) and morbidity from stroke attacks in the Oporto area confirms the relevance of this approach and highlights the serious negative impacts that cold days had, between 2002 and 2007, in human beings. And it is very important to note that the resistance thresholds to cold are, in the Southern countries of Europe, much higher than those usually considered by decision-makers.
C1 [Monteiro, Ana] Univ Porto, Dept Geog, Fac Letras, CITTA,CEGOT,ISPUP, Oporto, Portugal.
C3 Universidade do Porto
RP Monteiro, A (corresponding author), Univ Porto, Dept Geog, Fac Letras, CITTA,CEGOT,ISPUP, Oporto, Portugal.
EM anamonteirosousa@gmail.com
CR AD& C, 2014, PORT 2020
   MONTEIRO A., 2012, Revista da Faculdade de Letras-Geografia-Universidade do Porto III, V1, P123
   Monteiro A, 2013, INT J BIOMETEOROL, V57, P857, DOI 10.1007/s00484-012-0613-z
   Monteiro Ana, 2014, RISCOS CLIMATICOS, P319
   Monteiro Ana, 2014, EXPERIMENTOS CLIMATO, P49
   Monteiro Ana, 2012, ATLAS SAUDE DOENCA V, VI, p[167, 497]
   Monteiro Ana, 2014, REV FACULDADE LETR 3, V2
NR 7
TC 0
Z9 0
U1 0
U2 0
PU UNIV COIMBRA
PI COIMBRA
PA RUA DA ILHA, COIMBRA, 3000-214, PORTUGAL
BN 978-989-26-1233-1; 978-989-26-1232-4
J9 RISCOS CATASTROFES
PY 2016
BP 215
EP 230
DI 10.14195/978-989-26-1233-1_10
D2 10.14195/978-989-26-1233-1
PG 16
WC Geography; Geography, Physical; Social Sciences, Interdisciplinary
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Geography; Physical Geography; Social Sciences - Other Topics
GA BH1RZ
UT WOS:000398467500011
OA Bronze, Green Submitted
DA 2025-01-10
ER

PT J
AU Mohapatra, S
   Wen, L
   Sharp, B
   Sahoo, D
AF Mohapatra, Souryabrata
   Wen, Le
   Sharp, Basil
   Sahoo, Dukhabandhu
TI Unveiling the spatial dynamics of climate impact on rice yield in India
SO ECONOMIC ANALYSIS AND POLICY
LA English
DT Article
DE Climate change; Rice yield; Spatial analysis; Spillovers; Information
   diffusion; India
ID IRRIGATION WATER REQUIREMENT; AGRICULTURAL PRACTICES; ADAPTATION
   STRATEGIES; CROP YIELD; MODEL; SPECIFICATION; ENVIRONMENT; SYSTEMS;
   OUTPUT; GROWTH
AB Climate change has added new dimensions of uncertainty associated with India's rice production. Previous research has explored the impact of climate variation on production and noted the interdependence among neighbouring regions. Using district-level data, we investigate two categories of spatial dynamics associated with the climate sensitivity of rice yield. First, we find evidence that supports previous research that yield is significantly influenced by the direct effects of monsoon maximum temperature and rainfall. The second category, capturing indirect effects, is novel because it provides additional insights into formal and informal networks that underpin the information flow on climate adaptation. Empirical evidence of spatial interdependence arising from information spillovers provides insights into the development of spatially targeted policies that offer the potential for knowledge transfer that contributes to sustaining and increasing rice yields. Policy objectives should therefore focus on advancing technology and promoting social networks that enhance information flow across regions.
C1 [Mohapatra, Souryabrata] Natl Council Appl Econ Res, New Delhi, India.
   [Mohapatra, Souryabrata; Wen, Le; Sharp, Basil] Univ Auckland, Dept Econ, Auckland, New Zealand.
   [Sahoo, Dukhabandhu] Indian Inst Technol, Sch Humanities Social Sci & Management, Bhubaneswar, India.
C3 University of Auckland; Indian Institute of Technology System (IIT
   System); Indian Institute of Technology (IIT) - Bhubaneswar
RP Wen, L (corresponding author), Univ Auckland, Dept Econ, Auckland, New Zealand.
EM l.wen@auckland.ac.nz
RI WEN, LE/L-8508-2013; Mohapatra, Souryabrata/KMA-7018-2024
OI Wen, Le/0000-0002-6873-0582; Mohapatra, Souryabrata/0000-0002-3627-8739
FU Council of Australian University Librarians
FX Open Access funding is enabled and organised by the Council of
   Australian University Librarians [ www.caul.edu.au] and its member
   institutions.
CR Abbas S, 2021, ENVIRON DEV SUSTAIN, V23, P1706, DOI 10.1007/s10668-020-00647-8
   Abeysekara WCSM, 2023, ECON ANAL POLICY, V77, P435, DOI 10.1016/j.eap.2022.12.003
   Aggarwal P.K., 2010, Impacts of Climate Change on Growth and Yield of Rice and Wheat in the Upper Ganga Basin
   Aggarwal PK, 2002, CLIMATIC CHANGE, V52, P331, DOI 10.1023/A:1013714506779
   Alexandratos N., 2012, ESA Working Paper, DOI 10.22004/ag.econ.288998
   Amin MR, 2015, SUSTAINABILITY-BASEL, V7, P898, DOI 10.3390/su7010898
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Anselin L, 2001, AM J AGR ECON, V83, P705, DOI 10.1111/0002-9092.00194
   Anselin L., 1988, Spatial Econometrics: Methods and Models, DOI [10.1007/978-94-015-7799-1, DOI 10.1007/978-94-015-7799-1]
   Anselin L, 2014, MODERN SPATIAL ECONO
   Arunrat N, 2018, AGR SYST, V164, P58, DOI 10.1016/j.agsy.2018.04.001
   Aryal JP, 2020, ENVIRON DEV SUSTAIN, V22, P5045, DOI 10.1007/s10668-019-00414-4
   Auffhammer M, 2006, P NATL ACAD SCI USA, V103, P19668, DOI 10.1073/pnas.0609584104
   Auffhammer M, 2013, REV ENV ECON POLICY, V7, P181, DOI 10.1093/reep/ret016
   Auffhammer M, 2012, CLIMATIC CHANGE, V111, P411, DOI 10.1007/s10584-011-0208-4
   Banerjee S, 2016, MITIG ADAPT STRAT GL, V21, P249, DOI 10.1007/s11027-014-9595-y
   Barnwal P, 2013, ECOL ECON, V87, P95, DOI 10.1016/j.ecolecon.2012.11.024
   Baum ChristopherF., 2006, INTRO MODERN ECONOME
   Belotti F, 2017, STATA J, V17, P139, DOI 10.1177/1536867X1701700109
   Ben Zaied Y, 2023, ENVIRON ECON POLICY, V25, P143, DOI 10.1007/s10018-022-00348-8
   Bhambure A.B., 2016, Vasantrao Dempo Educ. Res. J. Arts Sci. Humanit., V2, P65
   Bhattacharya T., 2013, 10SR Journal ofAgriculture and Veterinary Science (IOSR-JAVS), V4, P06, DOI DOI 10.9790/2380-0420612
   Brown PR, 2019, CLIM DEV, V11, P383, DOI 10.1080/17565529.2018.1442798
   Budhathoki NK, 2020, INT J DISAST RISK RE, V49, DOI 10.1016/j.ijdrr.2020.101656
   Chandio AA, 2021, TECHNOL SOC, V66, DOI 10.1016/j.techsoc.2021.101607
   Chandio AA, 2020, ENVIRON SCI POLLUT R, V27, P7812, DOI 10.1007/s11356-019-07486-9
   Chatterjee P, 2021, LANCET PLANET HEALTH, V5, pE187, DOI 10.1016/S2542-5196(21)00060-7
   Chen S, 2016, CLIMATIC CHANGE, V138, P191, DOI 10.1007/s10584-016-1707-0
   Chen YL, 2024, J CLEAN PROD, V434, DOI 10.1016/j.jclepro.2023.139625
   Das K, 2008, AGR ECOSYST ENVIRON, V124, P105, DOI 10.1016/j.agee.2007.09.007
   Dasgunta P, 2013, ENVIRON DEV, V8, P5, DOI [10.1016/j.envdev.2013.06.002, 10.1016/j.envclevd013.0d002]
   Debnath D, 2018, J POLICY MODEL, V40, P265, DOI 10.1016/j.jpolmod.2017.08.006
   Debnath S, 2021, J WATER CLIM CHANGE, V12, P1245, DOI 10.2166/wcc.2020.086
   Debnath S, 2018, PADDY WATER ENVIRON, V16, P601, DOI 10.1007/s10333-018-0653-z
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Ding YG, 2023, ECON ANAL POLICY, V80, P669, DOI 10.1016/j.eap.2023.09.013
   Do MH, 2023, ECON ANAL POLICY, V77, P157, DOI 10.1016/j.eap.2022.11.010
   Drukker DM, 2013, STATA J, V13, P242, DOI 10.1177/1536867X1301300202
   Elhorst JP, 2014, SPRINGERBR REG SCI, P37, DOI 10.1007/978-3-642-40340-8_3
   Elhorst JP, 2010, SPAT ECON ANAL, V5, P9, DOI 10.1080/17421770903541772
   Elhorst JP, 2003, INT REGIONAL SCI REV, V26, P244, DOI 10.1177/0160017603253791
   Emediegwu LE, 2022, WORLD DEV, V158, DOI 10.1016/j.worlddev.2022.105967
   Farook AJ., 2015, SRI LANKAN J APPL ST, V16, P161, DOI [10.4038/sljastats.v16i3.7830, DOI 10.4038/SLJASTATS.V16I3.7830]
   Fotheringham A.S., 2009, SAGE HDB SPATIAL ANA
   Gani A, 2022, INT J SOC ECON, V49, P801, DOI 10.1108/IJSE-06-2021-0332
   Geethalakshmi V, 2011, CURR SCI INDIA, V101, P342
   Gelfand AE, 2010, CH CRC HANDB MOD STA, P1, DOI 10.1201/9781420072884
   Genius M, 2014, AM J AGR ECON, V96, P328, DOI 10.1093/ajae/aat054
   Ghose A. K., 2021, Indian Journal of Human Development, V15, P7, DOI [https://doi.org/10.1177/09737030211005496, DOI 10.1177/09737030211005496]
   Golgher AB, 2016, SPAT DEMOGR, V4, P175, DOI 10.1007/s40980-015-0016-y
   Goodchild M.F., 2009, International Encyclopedia of Human Geography: First Law o f Geography, P179, DOI DOI 10.1016/B978-008044910-4.00438-7
   Gupta R, 2019, AGR SYST, V173, P1, DOI 10.1016/j.agsy.2019.01.009
   Gupta S, 2014, CLIM CHANG ECON, V5, DOI 10.1142/S2010007814500018
   Harari M, 2018, REV ECON STAT, V100, P594, DOI 10.1162/rest_a_00730
   He WJ, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10100441
   Hossain F, 2022, ENVIRON RESOUR ECON, V82, P327, DOI 10.1007/s10640-022-00680-3
   Hsiang S, 2016, ANNU REV RESOUR ECON, V8, P43, DOI 10.1146/annurev-resource-100815-095343
   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]
   Islam Z, 2022, ECON ANAL POLICY, V76, P59, DOI 10.1016/j.eap.2022.07.011
   Joshi P. K., 2015, Indian Journal of Agricultural Economics, V70, P1
   Kalli R, 2022, CHINA AGR ECON REV, V14, P331, DOI 10.1108/CAER-11-2020-0275
   Kassie M, 2013, TECHNOL FORECAST SOC, V80, P525, DOI 10.1016/j.techfore.2012.08.007
   Krishnamurthy C.K.B., 2012, Working Papers, Working Papers
   Krishnan P, 2005, J AGR SCI-CAMBRIDGE, V143, P283, DOI 10.1017/S0021859605005496
   Kumar KSK, 2011, CAMB J REG ECON SOC, V4, P221, DOI 10.1093/cjres/rsr004
   Kumar P, 2023, J AGRIBUS DEV EMERG, V13, P260, DOI 10.1108/JADEE-06-2021-0152
   Kumar S., 2019, Econ. Political Wkly, V54
   Lal B, 2020, ECOL INDIC, V115, DOI 10.1016/j.ecolind.2020.106431
   Le TTH, 2016, J AGRIC APPL ECON, V48, P366, DOI 10.1017/aae.2016.21
   Lee LF, 2010, J ECONOMETRICS, V154, P165, DOI 10.1016/j.jeconom.2009.08.001
   LeSage J, 2009, STAT TEXTB MONOGR, P1
   LeSage JP, 2008, SPAT ECON ANAL, V3, P275, DOI 10.1080/17421770802353758
   Li F, 2020, AGR SYST, V182, DOI 10.1016/j.agsy.2020.102853
   Lin X, 2010, J LABOR ECON, V28, P825, DOI 10.1086/653506
   Luh YH, 2023, J ENVIRON MANAGE, V326, DOI 10.1016/j.jenvman.2022.116667
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Mendelsohn R, 2014, J INTEGR AGR, V13, P660, DOI 10.1016/S2095-3119(13)60701-7
   Miao RQ, 2016, AM J AGR ECON, V98, P191, DOI 10.1093/ajae/aav025
   Mishra A, 2013, SCI TOTAL ENVIRON, V468, pS132, DOI 10.1016/j.scitotenv.2013.05.080
   MoEF, 2004, IND IN NAT COMM UN F
   Mohan S, 2022, COMPLEX RIVALRY, P1, DOI 10.1142/S2010007822500014
   MORAN PAP, 1948, J ROY STAT SOC B, V10, P243
   Mujtaba A, 2023, APPL ECON LETT, V30, P1488, DOI 10.1080/13504851.2022.2064416
   Munshi K, 2004, J DEV ECON, V73, P185, DOI 10.1016/j.jdeveco.2003.03.003
   Nagarajan S, 2010, AGR ECOSYST ENVIRON, V138, P274, DOI 10.1016/j.agee.2010.05.012
   Nasrullah M, 2021, J WATER CLIM CHANGE, V12, P2256, DOI 10.2166/wcc.2021.030
   Nath HK, 2018, ASIAN J AGRIC DEV, V15, P23
   Nichols C, 2020, WORLD DEV, V133, DOI 10.1016/j.worlddev.2020.105004
   Nidumolu U, 2021, CLIM DEV, V13, P189, DOI 10.1080/17565529.2020.1746230
   Nyberg Y, 2021, INT J AGR SUSTAIN, V19, P175, DOI 10.1080/14735903.2021.1895574
   Palanisami K., 2019, India Studies in Business and Economics, V1st, DOI [10.1007/978-981-13-8363-2, DOI 10.1007/978-981-13-8363-2]
   Paramesh V, 2022, FOOD ENERGY SECUR, V11, DOI 10.1002/fes3.321
   Pathak H, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-022-10537-3
   Pattanayak A, 2021, J ASIA PAC ECON, V26, P51, DOI 10.1080/13547860.2020.1717300
   Pattanayak A, 2014, CLIM CHANG ECON, V5, DOI 10.1142/S2010007814500110
   Pavithra AS., 2018, INT J CURRENT MICROB, V7, P2738, DOI DOI 10.20546/IJCMAS.2018.703.316
   Prasada DVP, 2022, J AGRIBUS DEV EMERG, V12, P40, DOI 10.1108/JADEE-09-2019-0135
   Rayamajhee Veeshan, 2020, Economics of Disasters and Climate Change, V5, P111, DOI 10.1007/s41885-020-00079-8
   Roy A, 2024, ENVIRON DEV, V49, DOI 10.1016/j.envdev.2023.100937
   Samiappan S, 2018, INT J CLIMATOL, V38, P2838, DOI 10.1002/joc.5466
   Saravanakumar V., 2015, Impact of Climate Change on Yield of Major Food Crops in Tamil Nadu, India
   Sarker MAR, 2014, ECON ANAL POLICY, V44, P405, DOI 10.1016/j.eap.2014.11.004
   Saseendran SA, 2000, CLIMATIC CHANGE, V44, P495, DOI 10.1023/A:1005542414134
   Seck PA, 2012, FOOD SECUR, V4, P7, DOI 10.1007/s12571-012-0168-1
   Shrestha L, 2017, J WATER CLIM CHANGE, V8, P320, DOI 10.2166/wcc.2016.153
   Shrestha S, 2014, J WATER CLIM CHANGE, V5, P427, DOI 10.2166/wcc.2014.114
   Singh PK, 2017, CURR SCI INDIA, V112, P108, DOI 10.18520/cs/v112/i01/108-115
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Sridhar D, 2008, SOUTH ASIA RES, V28, P147, DOI 10.1177/026272800802800202
   Suneetha K., 2013, Indian J. Res., V3, P40
   Suresh Kumar D., 2019, India Studies in Business and Economics, P7, DOI [10.1007/978-981-13-8363-2_2, DOI 10.1007/978-981-13-8363-2_2]
   Sushila Kaul Sushila Kaul, 2008, Agricultural Situation in India, V65, P413
   Tan BT, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11060569
   ten Berge HFM, 2019, GLOB FOOD SECUR-AGR, V23, P9, DOI 10.1016/j.gfs.2019.02.001
   Teng P.P.S., 2016, NTS report No. 4)
   Tripathi A., 2017, Econ. Political Wkly., V52, P53
   Wang GJ, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e16285
   Wassmann R, 2009, ADV AGRON, V102, P91, DOI 10.1016/S0065-2113(09)01003-7
   Wen L, 2020, ENERG J, V41, P47, DOI 10.5547/01956574.41.2.lwen
   Yang WY, 2017, J TRANSP GEOGR, V60, P21, DOI 10.1016/j.jtrangeo.2017.02.005
NR 120
TC 0
Z9 0
U1 4
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0313-5926
J9 ECON ANAL POLICY
JI Econ. Anal. Policy
PD SEP
PY 2024
VL 83
BP 922
EP 945
DI 10.1016/j.eap.2024.07.021
EA AUG 2024
PG 24
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA D1Q8Y
UT WOS:001294012100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Manes, S
   Vale, MM
   Pires, APF
AF Manes, Stella
   Vale, Mariana M.
   Pires, Aliny P. F.
TI Nature-based solutions potential for flood risk reduction under extreme
   rainfall events
SO AMBIO
LA English
DT Article
DE Forest restoration; InVEST urban flood risk mitigation model; Land
   recovery; Natural regeneration; Rio de Janeiro; Urban ecology
ID FOREST RESTORATION; ECOSYSTEM SERVICES; URBAN; ADAPTATION; BENEFITS;
   HOTSPOT
AB Climate change will substantially increase extreme rainfall events, especially in the Tropics, enhancing flood risks. Such imminent risks require climate adaptation strategies to endure extreme rainfall and increase drainage systems. Here, we evaluate the potential of nature-based solutions by using an ecosystem service modeling approach, evaluating the impact of extreme rainfall events on flood risks in a large urban area and with a real-world land recovery plan. We evaluate the cost-effectiveness of four different land recovery scenarios and associated co-benefits, based on a gradient increase in area recovered and cost of implementation. Although the scenarios reveal increasing flood risk reduction and co-benefits along with greater proportion of land recovery, the most cost-effective scenario was the one with an intermediate land recovery where 30% of the study area would be reforested. We emphasize the striking benefits of nature-based solutions for flood risk reduction in cities, considering landscape scale and stakeholders' needs.
C1 [Manes, Stella] Fed Univ Rio De Janeiro UFRJ, Grad Program Ecol PPGE, UFRJ, Ave Carlos Chagas Filho,373 Ctr Ciencias Saude,Blo, BR-21941590 Rio De Janeiro, RJ, Brazil.
   [Manes, Stella] Int Inst Sustainabil IIS, Rio De Janeiro, RJ, Brazil.
   [Vale, Mariana M.] Fed Univ Rio De Janeiro UFRJ, Ecol Dept, Inst Biol IB UFRJ, Ave Carlos Chagas Filho,373 Ctr Ciencias Saude, BR-21941902 Rio De Janeiro, RJ, Brazil.
   [Pires, Aliny P. F.] Rio Janeiro State Univ UERJ, Ecol Dept, Inst Biol Roberto Alcantara Gomes, Pavilhao Reitor Haroldo Lisboa Cunha,R Sao Francis, BR-20550013 Rio De Janeiro, RJ, Brazil.
   [Pires, Aliny P. F.] Brazilian Fdn Sustainable Dev FBDS, Rio De Janeiro, RJ, Brazil.
C3 Universidade Federal do Rio de Janeiro
RP Manes, S (corresponding author), Fed Univ Rio De Janeiro UFRJ, Grad Program Ecol PPGE, UFRJ, Ave Carlos Chagas Filho,373 Ctr Ciencias Saude,Blo, BR-21941590 Rio De Janeiro, RJ, Brazil.; Manes, S (corresponding author), Int Inst Sustainabil IIS, Rio De Janeiro, RJ, Brazil.
EM stellamanes@gmail.com
RI Manes, Stella/AAB-7022-2022; Vale, Mariana/I-9408-2012
OI Manes, Stella/0000-0002-5938-6900
FU Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior do Brasil
   (CAPES) [001]; Fundacao de Amparo a Pesquisa do Estado do Rio de Janeiro
   (FAPERJ) [E-26/200.611/2021, CNE E-26/202.647/2019]; National Council
   for Scientific and Technological Development (CNPq) [304309/2018-4,
   304908/2021-5]; APFP [423057/2021-9, APQ1 2019 E-26/010.001939/2019,
   APQ1-2021 SEI-260003/015411/2021]; FINEP [01.13.0353-00]; National
   Institutes for Science and Technology in Ecology, Evolution and
   Biodiversity Conservation - CNPq [465610/2014-5]; FAPEG
   [201810267000023]
FX SM received fellowships from Coordenacao de Aperfeicoamento de Pessoal
   de Nivel Superior do Brasil (CAPES) (Grant no.001) and Fundacao de
   Amparo a Pesquisa do Estado do Rio de Janeiro-Grant 'Doutorado Nota 10'
   (FAPERJ No. E-26/200.611/2021). We thank the National Council for
   Scientific and Technological Development (CNPq) for support to MMV (CNPq
   Grant No.304309/2018-4 and 304908/2021-5) and APFP (Grant No.
   423057/2021-9), and FAPERJ for support to MMV (Grant No. CNE
   E-26/202.647/2019) and APFP (Grant No. APQ1 2019 E-26/010.001939/2019
   and APQ1-2021 SEI-260003/015411/2021). This paper was developed in the
   context of the Brazilian Research Network on Climate Change
   (Rede-CLIMA), with which all authors are affiliated, supported by FINEP
   (Grants No. 01.13.0353-00) and the National Institutes for Science and
   Technology in Ecology, Evolution and Biodiversity Conservation,
   supported by CNPq (Grant ID: 465610/2014-5) and FAPEG (Grant No.
   201810267000023).
CR Alemaw Berhanu Fanta, 2020, Journal of Water Resource and Protection, V12, P853, DOI 10.4236/jwarp.2020.1210050.
   Alves A, 2019, J ENVIRON MANAGE, V239, P244, DOI 10.1016/j.jenvman.2019.03.036
   ANA, 2021, CURVE NUMBER BASE HI
   [Anonymous], 2018, The United Nations World Water Development Report 2018: Nature-based Solutions
   [Anonymous], 2004, PART 630 HYDROLOGY N
   Bain PG, 2016, NAT CLIM CHANGE, V6, P154, DOI [10.1038/NCLIMATE2814, 10.1038/nclimate2814]
   Barcellos C, 2000, INT J ENVIRON HEAL R, V10, P301, DOI 10.1080/0960312002001500
   Benini RM, 2017, EC RESTAURACAO FLORE, P20
   Borgo MG., 2017, EC RESTAURACAO FLORE, P52
   Brancalion P.H. S., 2012, Unasylva, V63, P239, DOI DOI 10.1007/S13398-014-0173-7.2
   Bustamante MMC, 2019, MITIG ADAPT STRAT GL, V24, P1249, DOI 10.1007/s11027-018-9837-5
   Carter JG, 2018, CITIES, V77, P73, DOI 10.1016/j.cities.2018.01.014
   Chen V, 2021, AMBIO, V50, P1462, DOI 10.1007/s13280-020-01493-8
   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]
   Crouzeilles R, 2020, CONSERV LETT, V13, DOI 10.1111/conl.12709
   Crouzeilles R, 2019, PERSPECT ECOL CONSER, V17, P80, DOI 10.1016/j.pecon.2019.04.003
   Crouzeilles R, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1701345
   Crouzeilles R, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11666
   Dias MCD, 2018, INT J DISAST RISK RE, V31, P449, DOI 10.1016/j.ijdrr.2018.06.002
   Dodman D., 2022, IPCC 6 ASSESSMENT RE, P907, DOI [10.1017/9781009325844.008, DOI 10.1017/9781009325844.008]
   Ducros A., 2022, BIOCREDITS FINANCE N
   Dushkova D, 2020, LAND-BASEL, V9, DOI 10.3390/land9010019
   Egerer M, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00024-y
   Elmqvist T, 2015, CURR OPIN ENV SUST, V14, P101, DOI 10.1016/j.cosust.2015.05.001
   Friedlingstein P, 2019, SCIENCE, V366, DOI 10.1126/science.aay8060
   Golub A, 2009, RESOUR ENERGY ECON, V31, P299, DOI 10.1016/j.reseneeco.2009.04.007
   Grima N, 2016, ECOSYST SERV, V17, P24, DOI 10.1016/j.ecoser.2015.11.010
   Hamel P, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00027-9
   IBGE, 2012, EST IN MOSTR MOR SUJ
   INEA, 2018, MAPA USO COBERTURA S
   INEA, 2010, MAPA AREAS POTENCIAI
   Joksimovic D, 2014, PROCEDIA ENGINEER, V89, P734, DOI 10.1016/j.proeng.2014.11.501
   Kabisch N, 2022, AMBIO, V51, P1388, DOI 10.1007/s13280-021-01685-w
   Kadaverugu A, 2021, MODEL EARTH SYST ENV, V7, P589, DOI 10.1007/s40808-020-00937-0
   Kasecker TP, 2018, MITIG ADAPT STRAT GL, V23, P981, DOI 10.1007/s11027-017-9768-6
   Kii M, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-020-00007-5
   Manes S, 2022, MITIG ADAPT STRAT GL, V27, DOI 10.1007/s11027-022-10012-x
   Manes S, 2022, ECOSYST SERV, V55, DOI 10.1016/j.ecoser.2022.101439
   Manes S, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-022-01904-4
   Manes S, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-021-01866-z
   Masson-Delmotte V., 2021, Climate Change 2021: the physical science basis, P3
   Mishra S.K, 2003, Soil Conservation Service Curve Number (SCS-CN) Methodology, P84, DOI [10.1007/978-94-017-0147-12, DOI 10.1007/978-94-017-0147-12, 10.1007/978-94-017-0147-1_2, DOI 10.1007/978-94-017-0147-1_2]
   Myhre G, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-52277-4
   Niemeyer J, 2020, SCI TOTAL ENVIRON, V717, DOI 10.1016/j.scitotenv.2019.135262
   Pires APF, 2021, ECOSYST SERV, V49, DOI 10.1016/j.ecoser.2021.101292
   Pires APF, 2017, PERSPECT ECOL CONSER, V15, P187, DOI 10.1016/j.pecon.2017.08.003
   Pires APF, 2016, ECOLOGY, V97, P2750, DOI 10.1002/ecy.1501
   Prado R.B., 2010, MANEJO CONSERVACAO S
   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]
   Quagliolo C, 2021, FRONT WATER, V3, DOI 10.3389/frwa.2021.663378
   Rezende CL, 2018, PERSPECT ECOL CONSER, V16, P208, DOI 10.1016/j.pecon.2018.10.002
   Rodrigues RR, 2009, BIOL CONSERV, V142, P1242, DOI 10.1016/j.biocon.2008.12.008
   Rosenzweig B, 2019, ENVIRON SCI POLICY, V99, P150, DOI 10.1016/j.envsci.2019.05.020
   SEA/INEA, 2018, PLANO ADAPTACAO CLIM
   Sharp R., 2020, INVEST 310 USERS GUI
   Soares RMV, 2024, URBAN ECOSYST, V27, P147, DOI 10.1007/s11252-023-01431-y
   Song C., 2022, Nature-Based Solutions, V2, P100010, DOI [DOI 10.1016/J.NBSJ.2022.100010, https://doi.org/10.1016/j.nbsj.2022.100010]
   Strassburg BBN, 2019, NAT ECOL EVOL, V3, P62, DOI 10.1038/s41559-018-0743-8
   Turkelboom F, 2021, AMBIO, V50, P1431, DOI 10.1007/s13280-021-01548-4
   Vale M. M., 2021, The Atlantic Forest: History, Biodiversity, Threats and Opportunities of the MegaDiverse Forest, P253, DOI [10.1007/978-3-030-55322-712, DOI 10.1007/978-3-030-55322-712, DOI 10.1007/978-3-030-55322-7_12]
NR 60
TC 4
Z9 4
U1 22
U2 29
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0044-7447
EI 1654-7209
J9 AMBIO
JI Ambio
PD AUG
PY 2024
VL 53
IS 8
BP 1168
EP 1181
DI 10.1007/s13280-024-02005-8
EA APR 2024
PG 14
WC Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology
GA UN6W5
UT WOS:001197378600002
PM 38580898
DA 2025-01-10
ER

PT J
AU Moghaddam, SM
   Oladzad, A
   Koh, C
   Ramsay, L
   Hart, JP
   Mamidi, S
   Hoopes, G
   Sreedasyam, A
   Wiersma, A
   Zhao, D
   Grimwood, J
   Hamilton, JP
   Jenkins, J
   Vaillancourt, B
   Wood, JC
   Schmutz, J
   Kagale, S
   Porch, T
   Bett, KE
   Buell, CR
   McClean, PE
AF Moghaddam, Samira Mafi
   Oladzad, Atena
   Koh, Chushin
   Ramsay, Larissa
   Hart, John P.
   Mamidi, Sujan
   Hoopes, Genevieve
   Sreedasyam, Avinash
   Wiersma, Andrew
   Zhao, Dongyan
   Grimwood, Jane
   Hamilton, John P.
   Jenkins, Jerry
   Vaillancourt, Brieanne
   Wood, Joshua C.
   Schmutz, Jeremy
   Kagale, Sateesh
   Porch, Timothy
   Bett, Kirstin E.
   Buell, C. Robin
   McClean, Phillip E.
TI The tepary bean genome provides insight into evolution and domestication
   under heat stress
SO NATURE COMMUNICATIONS
LA English
DT Article
ID COMMON BACTERIAL-BLIGHT; DISEASE RESISTANCE; PHASEOLUS-ACUTIFOLIUS;
   CONVERGENT EVOLUTION; PATHOGEN EFFECTORS; HIGH-TEMPERATURE;
   SALICYLIC-ACID; WIDE ANALYSIS; GROWTH HABIT; GENE
AB Tepary bean (Phaseolus acutifolis A. Gray), native to the Sonoran Desert, is highly adapted to heat and drought. It is a sister species of common bean (Phaseolus vulgaris L.), the most important legume protein source for direct human consumption, and whose production is threatened by climate change. Here, we report on the tepary genome including exploration of possible mechanisms for resilience to moderate heat stress and a reduced disease resistance gene repertoire, consistent with adaptation to arid and hot environments. Extensive collinearity and shared gene content among these Phaseolus species will facilitate engineering climate adaptation in common bean, a key food security crop, and accelerate tepary bean improvement. In contrast to common bean, tepary bean is highly adapted to heat and drought. Here, the authors assemble the genomes of tepary bean landrace and wild accession, discuss the possible mechanism for resilience to heat stress, and reveal a reduced disease resistance gene repertoire.
C1 [Moghaddam, Samira Mafi; Hoopes, Genevieve; Wiersma, Andrew; Zhao, Dongyan; Hamilton, John P.; Vaillancourt, Brieanne; Wood, Joshua C.; Buell, C. Robin] Michigan State Univ, Dept Plant Biol, E Lansing, MI 48824 USA.
   [Moghaddam, Samira Mafi; Wiersma, Andrew; Buell, C. Robin] Michigan State Univ, Plant Resilience Inst, E Lansing, MI 48824 USA.
   [Oladzad, Atena; McClean, Phillip E.] North Dakota State Univ, Dept Plant Sci, Fargo, ND 58105 USA.
   [Oladzad, Atena; McClean, Phillip E.] North Dakota State Univ, Genom & Bioinformat Program, Fargo, ND 58105 USA.
   [Koh, Chushin; Ramsay, Larissa; Bett, Kirstin E.] Univ Saskatchewan, Dept Plant Sci, Saskatoon, SK, Canada.
   [Koh, Chushin] Univ Saskatchewan, Global Inst Food Secur GIFS, Saskatoon, SK, Canada.
   [Hart, John P.; Porch, Timothy] USDA ARS, Trop Agr Res Stn, Mayaguez, PR 00680 USA.
   [Mamidi, Sujan; Sreedasyam, Avinash; Grimwood, Jane; Jenkins, Jerry; Schmutz, Jeremy] HudsonAlpha Inst Biotechnol, Huntsville, AL USA.
   [Grimwood, Jane; Jenkins, Jerry; Schmutz, Jeremy] US DOE, Joint Genome Inst, Lawrence Berkeley Natl Lab, Berkeley, CA USA.
   [Kagale, Sateesh] Natl Res Council Canada, Saskatoon, SK, Canada.
   [Buell, C. Robin] Michigan State Univ AgBioRes, E Lansing, MI 48824 USA.
C3 Michigan State University; Michigan State University; North Dakota State
   University Fargo; North Dakota State University Fargo; University of
   Saskatchewan; University of Saskatchewan; United States Department of
   Agriculture (USDA); HudsonAlpha Institute for Biotechnology; United
   States Department of Energy (DOE); Lawrence Berkeley National
   Laboratory; Joint Genome Institute - JGI; National Research Council
   Canada
RP Buell, CR (corresponding author), Michigan State Univ, Dept Plant Biol, E Lansing, MI 48824 USA.; Buell, CR (corresponding author), Michigan State Univ, Plant Resilience Inst, E Lansing, MI 48824 USA.; McClean, PE (corresponding author), North Dakota State Univ, Dept Plant Sci, Fargo, ND 58105 USA.; McClean, PE (corresponding author), North Dakota State Univ, Genom & Bioinformat Program, Fargo, ND 58105 USA.; Bett, KE (corresponding author), Univ Saskatchewan, Dept Plant Sci, Saskatoon, SK, Canada.; Porch, T (corresponding author), USDA ARS, Trop Agr Res Stn, Mayaguez, PR 00680 USA.; Buell, CR (corresponding author), Michigan State Univ AgBioRes, E Lansing, MI 48824 USA.
EM timothy.porch@usda.gov; K.bett@usask.ca; buell@msu.edu;
   phillip.mcclean@ndsu.edu
RI Jenkins, Jerry/ABE-6479-2020; Schmutz, Jeremy/N-3173-2013; Grimwood,
   Jane/ABD-5737-2021; Hart, John/AAK-8738-2020; Hamilton,
   John/G-1379-2016; mamidi, sujan/P-7009-2018; Hart, John/B-9702-2015
OI Halvorsen, Genevieve Hoopes/0000-0002-1472-5657; Zhao,
   Dongyan/0000-0002-2080-8416; Koh, ChuShin/0000-0001-7313-2125; Hamilton,
   John/0000-0002-8682-5526; Buell, C Robin/0000-0002-6727-4677; mamidi,
   sujan/0000-0002-3837-6121; Hart, John/0000-0001-5800-2306; Ramsay,
   Larissa/0000-0002-8768-5959; Wood, Joshua/0000-0002-7691-6088
FU Michigan State University Plant Resilience Institute; Saskatchewan Pulse
   Growers [BRE-0318]; United States Agency for International Development
   [EDH-A-00-07-00005-00]; United States Department of Agriculture
   Agricultural Research Service Postdoctoral Research Associate Program;
   United States Department of Agriculture and Food Initiative Education
   and Workforce Development Postdoctoral Fellowship [2019-67012-29717]
FX This study was supported with funds from the Michigan State University
   Plant Resilience Institute (C.R.B.), Saskatchewan Pulse Growers (K.E.B.,
   BRE-0318), United States Agency for International Development (P.M.,
   EDH-A-00-07-00005-00), United States Department of Agriculture
   Agricultural Research Service Postdoctoral Research Associate Program
   (J.H.), and United States Department of Agriculture and Food Initiative
   Education and Workforce Development Postdoctoral Fellowship (A.W.,
   2019-67012-29717). We thank Daniel Rokhsar and David Goodstein for
   incorporating the two P. acutifolius genomes in Phytozome. We thank Rick
   Goertzen from GIFS Saskatoon and K. Arumuganathan at the Benaroya
   Research Institute for the flow cytometry results. We thank Sean Weise
   and Thomas D. Sharkey for discussions and assistance on trehalose
   metabolism.
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1006/jmbi.1990.9999
   Anders S, 2015, BIOINFORMATICS, V31, P166, DOI 10.1093/bioinformatics/btu638
   Apweiler R, 2014, NUCLEIC ACIDS RES, V42, pD191, DOI 10.1093/nar/gkt1140
   Beebe S, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P356
   BINKLEY A. M., 1932, PROC AMER SOC HORT SCI, V29, P489
   Blanco F, 2009, PLANT MOL BIOL, V70, P79, DOI 10.1007/s11103-009-9458-1
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Bonini BM, 2004, MYCOTA, V3, P291
   Bray NL, 2016, NAT BIOTECHNOL, V34, P888, DOI 10.1038/nbt0816-888d
   Buchanan BB, 2005, ANNU REV PLANT BIOL, V56, P187, DOI 10.1146/annurev.arplant.56.032604.144246
   Busch W, 2005, PLANT J, V41, P1, DOI 10.1111/j.1365-313X.2004.02272.x
   Campbell Michael S, 2014, Curr Protoc Bioinformatics, V48, DOI 10.1002/0471250953.bi0411s48
   Cao YB, 2019, NEW PHYTOL, V222, P301, DOI 10.1111/nph.15605
   Cesari S, 2013, PLANT CELL, V25, P1463, DOI 10.1105/tpc.112.107201
   Chen NWG, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01185
   Chen W, 2009, EXP EYE RES, V89, P311, DOI 10.1016/j.exer.2009.03.015
   Chen XP, 2019, MOL PLANT, V12, P920, DOI 10.1016/j.molp.2019.03.005
   Chin CS, 2013, NAT METHODS, V10, P563, DOI [10.1038/nmeth.2474, 10.1038/NMETH.2474]
   Cingolani P, 2012, FLY, V6, P80, DOI 10.4161/fly.19695
   Conway JR, 2017, BIOINFORMATICS, V33, P2938, DOI 10.1093/bioinformatics/btx364
   Crowe J. H., 2007, MOL ASPECTS STRESS R, DOI [10.1007/978-0-387-39975-1_13, DOI 10.1007/978-0-387-39975-1_13]
   Crowe JH, 1998, ANNU REV PHYSIOL, V60, P73, DOI 10.1146/annurev.physiol.60.1.73
   David P, 2009, PLANT PHYSIOL, V151, P1048, DOI 10.1104/pp.109.142109
   Delorge I, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00147
   Dobin A, 2013, BIOINFORMATICS, V29, P15, DOI 10.1093/bioinformatics/bts635
   Doyle J., 1990, Focus, V12, P13
   Durand NC, 2016, CELL SYST, V3, P95, DOI 10.1016/j.cels.2016.07.002
   Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
   Emms DM, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1832-y
   Fernandes AP, 2004, ANTIOXID REDOX SIGN, V6, P63, DOI 10.1089/152308604771978354
   Finn RD, 2016, NUCLEIC ACIDS RES, V44, pD279, DOI 10.1093/nar/gkv1344
   GAFF DF, 1971, SCIENCE, V174, P1033, DOI 10.1126/science.174.4013.1033
   Grabherr MG, 2011, NAT BIOTECHNOL, V29, P644, DOI 10.1038/nbt.1883
   GROSS Y, 1994, FIELD CROP RES, V36, P201, DOI 10.1016/0378-4290(94)90112-0
   Gujaria-Verma N, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-2499-3
   Gutierrez Crisanto, 2009, Arabidopsis Book, V7, pe0120, DOI 10.1199/tab.0120
   GUY CL, 1992, PLANT PHYSIOL, V100, P502, DOI 10.1104/pp.100.1.502
   Haas BJ, 2005, BMC BIOL, V3, DOI 10.1186/1741-7007-3-7
   Han MV, 2013, MOL BIOL EVOL, V30, P1987, DOI 10.1093/molbev/mst100
   Hart JP., 2019, ANN REP BEAN IMPROV, V62, P109
   Hohmann N, 2015, PLANT CELL, V27, P2770, DOI 10.1105/tpc.15.00482
   Hulbert SH, 2001, ANNU REV PHYTOPATHOL, V39, P285, DOI 10.1146/annurev.phyto.39.1.285
   Hummel M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-33952-4
   Jia Q, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20163999
   Jin JP, 2014, NUCLEIC ACIDS RES, V42, pD1182, DOI 10.1093/nar/gkt1016
   John R., 2017, Stress Signal Plants: Genom Proteom Perspect, V2, P261
   Jurka J, 2005, CYTOGENET GENOME RES, V110, P462, DOI 10.1159/000084979
   Kim D, 2019, NAT BIOTECHNOL, V37, P907, DOI 10.1038/s41587-019-0201-4
   Kroj T, 2016, NEW PHYTOL, V210, P618, DOI 10.1111/nph.13869
   Kumar S, 2018, MOL BIOL EVOL, V35, P1547, DOI 10.1093/molbev/msy096
   Kusolwa P. M., 2011, African Crop Science Journal, V19, P255
   Kwak M, 2012, ANN BOT-LONDON, V110, P1573, DOI 10.1093/aob/mcs207
   Lachmann A, 2016, BIOINFORMATICS, V32, P2233, DOI 10.1093/bioinformatics/btw216
   Lamesch P, 2012, NUCLEIC ACIDS RES, V40, pD1202, DOI 10.1093/nar/gkr1090
   Lavin M, 2005, SYST BIOL, V54, P575, DOI 10.1080/10635150590947131
   Law CW, 2014, GENOME BIOL, V15, DOI 10.1186/gb-2014-15-2-r29
   Li H., 2013, GENOMICS, DOI [10.48550/arXiv.1303.3997, DOI 10.48550/ARXIV.1303.3997]
   Lonardi S, 2019, PLANT J, V98, P767, DOI 10.1111/tpj.14349
   Lorang JM, 2018, MOL PLANT MICROBE IN, V31, P1069, DOI [10.1094/MPMI-12-17-0328-R, 10.1094/mpmi-12-17-0328-r]
   Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
   LUPAS A, 1991, SCIENCE, V252, P1162, DOI 10.1126/science.252.5009.1162
   Luyckx J, 2011, CLIN OPHTHALMOL, V5, P577, DOI 10.2147/OPTH.S18827
   Lynch M, 2000, SCIENCE, V290, P1151, DOI 10.1126/science.290.5494.1151
   Magallón S, 2015, NEW PHYTOL, V207, P437, DOI 10.1111/nph.13264
   Magazù S, 2012, EUR BIOPHYS J BIOPHY, V41, P361, DOI 10.1007/s00249-011-0760-x
   Marcais G, 2011, BIOINFORMATICS, V27, P764, DOI 10.1093/bioinformatics/btr011
   Martin M., 2011, EMBnetJ, V17, P10, DOI DOI 10.14806/EJ.17.1.200
   McClean PE, 2018, NEW PHYTOL, V219, P1112, DOI 10.1111/nph.15259
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   MEJIAJIMENEZ A, 1994, THEOR APPL GENET, V88, P324, DOI 10.1007/BF00223640
   Meyers BC, 2003, PLANT CELL, V15, P809, DOI 10.1105/tpc.009308
   Meziadi C, 2016, PLANT SCI, V242, P351, DOI 10.1016/j.plantsci.2015.09.006
   Miklas PN, 2003, EUPHYTICA, V131, P137, DOI 10.1023/A:1023064814531
   Miranda JA, 2007, PLANTA, V226, P1411, DOI 10.1007/s00425-007-0579-y
   Mistry J, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gkt263
   MONTERROSO VA, 1990, J AM SOC HORTIC SCI, V115, P631, DOI 10.21273/JASHS.115.4.631
   NABHAN GP, 1978, ECON BOT, V32, P2, DOI 10.1007/BF02906725
   Norton JB, 1915, AM NAT, V49, P547, DOI 10.1086/279499
   PARKER JP, 1986, PLANT BREEDING, V97, P315, DOI 10.1111/j.1439-0523.1986.tb01072.x
   Parrou JL, 1997, MICROBIOL-UK, V143, P1891, DOI 10.1099/00221287-143-6-1891
   Pertea M, 2016, NAT PROTOC, V11, P1650, DOI 10.1038/nprot.2016.095
   Phipson B, 2016, ANN APPL STAT, V10, P946, DOI 10.1214/16-AOAS920
   Porch TG, 2001, PLANT CELL ENVIRON, V24, P723, DOI 10.1046/j.1365-3040.2001.00716.x
   Porch TG, 2017, GENET RESOUR CROP EV, V64, P935, DOI 10.1007/s10722-016-0413-0
   Porch TG, 2013, AGRONOMY-BASEL, V3, P433, DOI 10.3390/agronomy3020433
   Repinski SL, 2012, THEOR APPL GENET, V124, P1539, DOI 10.1007/s00122-012-1808-8
   Ritchie ME, 2015, NUCLEIC ACIDS RES, V43, DOI 10.1093/nar/gkv007
   Rodriguez I. Y., 2018, THESIS U PUERTO RICO
   Rosas JC, 2004, CROP SCI, V44, P1867, DOI 10.2135/cropsci2004.1867
   Salerno GL, 2003, TRENDS PLANT SCI, V8, P63, DOI 10.1016/S1360-1385(02)00029-8
   Sarris PF, 2016, BMC BIOL, V14, DOI 10.1186/s12915-016-0228-7
   Sarris PF, 2015, CELL, V161, P1089, DOI 10.1016/j.cell.2015.04.024
   SAXENA KMS, 1968, P NATL ACAD SCI USA, V61, P1300, DOI 10.1073/pnas.61.4.1300
   Schmutz J, 2014, NAT GENET, V46, P707, DOI 10.1038/ng.3008
   Schmutz J, 2010, NATURE, V463, P178, DOI 10.1038/nature08670
   Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
   Simao FA, 2015, BIOINFORMATICS, V31, P3210, DOI 10.1093/bioinformatics/btv351
   Singh SP, 1999, CROP SCI, V39, P80, DOI 10.2135/cropsci1999.0011183X003900010013x
   Soltani A., 2020, BEAN IMPROVEMENT COO, V63, P153
   Souter JR, 2017, CROP SCI, V57, P1160, DOI 10.2135/cropsci2016.10.0851
   Stanke M, 2006, GENOME BIOL, V7, DOI 10.1186/gb-2006-7-s1-s11
   Sun HQ, 2018, BIOINFORMATICS, V34, P550, DOI 10.1093/bioinformatics/btx637
   Suzuki N, 2008, J BIOL CHEM, V283, P9269, DOI 10.1074/jbc.M709187200
   Tang HB, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-312
   Thomas C.V., 1983, Desert Plants, V5, P43
   Trapnell C, 2010, NAT BIOTECHNOL, V28, P511, DOI 10.1038/nbt.1621
   Varshney RK, 2012, NAT BIOTECHNOL, V30, P83, DOI 10.1038/nbt.2022
   Velappan Y, 2017, ANN BOT-LONDON, V120, P495, DOI 10.1093/aob/mcx082
   Wang YP, 2012, NUCLEIC ACIDS RES, V40, DOI 10.1093/nar/gkr1293
   Xiao CL, 2017, NAT METHODS, V14, P1072, DOI [10.1038/NMETH.4432, 10.1038/nmeth.4432]
   Yang ZH, 2007, MOL BIOL EVOL, V24, P1586, DOI 10.1093/molbev/msm088
   Zander M, 2014, PLANT PHYSIOL, V165, P1671, DOI 10.1104/pp.114.243360
   ZHANG HB, 1995, PLANT J, V7, P175, DOI 10.1046/j.1365-313X.1995.07010175.x
   Zhang YH, 2018, BMC PLANT BIOL, V18, DOI 10.1186/s12870-018-1586-9
NR 114
TC 44
Z9 47
U1 1
U2 27
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD MAY 11
PY 2021
VL 12
IS 1
AR 2638
DI 10.1038/s41467-021-22858-x
PG 14
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA SO1EP
UT WOS:000658723000012
PM 33976152
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Blok, A
AF Blok, Anders
TI What is 'Cosmic' About Urban Climate Politics? On Hesitantly Re-staging
   the Latour-Beck Debate for STS
SO SCIENCE AND TECHNOLOGY STUDIES
LA English
DT Article
DE Latour-Beck debate; cosmopolitics; cosmopolitanism; natures
AB While Bruno Latour's criticism of Ulrich Beck's cosmopolitanism helped set the stage 15 years ago for the highly productive research approach of cosmopolitics, including as concerns urban ecological politics, a nagging doubt remains that more blood was spilled than necessary in the exchange. In this short discussion piece, I re-stage the Latour-Beck debate as part of on-going inquiries into the morethan-human politics of climate adaptation in Copenhagen, exploring what exact senses of 'cosmos' might be helpful in making sense of this increasingly common-place situation. At issue, I suggest, is the question of what it means to say that `natures', in the plural, are put at stake in such settings. Far from any synthesis, in turn, I conclude that scholars in STS and beyond might do well to extend a shared hesitation towards both sides of the debate - cosmopolitics, cosmopolitanism - and thus take the opportunity to share unresolved conceptual tensions in the service of posing better problems.
C1 [Blok, Anders] Univ Copenhagen, Dept Sociol, Copenhagen, Denmark.
C3 University of Copenhagen
RP Blok, A (corresponding author), Univ Copenhagen, Dept Sociol, Copenhagen, Denmark.
EM abl@soc.ku.dk
OI Blok, Anders/0000-0002-3403-698X
CR Beck U, 2011, AM BEHAV SCI, V55, P1346, DOI 10.1177/0002764211409739
   Beck Ulrich., 2004, COMMON KNOWL, V10, P430
   Blok A, 2017, TIDSSKRIFTET ANTROPO, V76, P37
   Blok A, 2019, GLOBAL NETWORKS
   Blok A, 2019, SOCIOL REV, V67, P1195, DOI 10.1177/0038026119845551
   Blok A, 2013, SCI TECHNOL STUD, V26, P5
   Blok A, 2010, ENVIRON PLANN D, V28, P896, DOI 10.1068/d0309
   Blok Anders., 2016, Urban cosmopolitics: agencements, assemblies, atmospheres
   Candea M, 2012, CAMB J ANTHROPOL, V30, P36, DOI 10.3167/ca.2012.300203
   Danowski Deborah., 2017, ENDS WORLD
   de la Cadena M, 2010, CULT ANTHROPOL, V25, P334, DOI 10.1111/j.1548-1360.2010.01061.x
   Franklin A, 2017, SOCIOL REV, V65, P202, DOI 10.1111/1467-954X.12396
   Gabrys Jennifer., 2018, e-flux
   Hulme Mike., 2017, Weathered. Cultures of Climate, V1
   Latour B., 1998, Paris Invisible City [Paris ville invisible
   Latour B, 2007, SOC STUD SCI, V37, P811, DOI 10.1177/0306312707081222
   Latour B, 2017, THEOR CULT SOC, V34, P61, DOI 10.1177/0263276416652700
   Latour Bruno., 2004, Common Knowledge, V10, P450, DOI [10.1215/0961754X-10-3-450, DOI 10.1215/0961754X-10-3-450]
   Latour Bruno., 1998, Remaking Reality: Nature at the Millennium, P221
   Law J, 2018, WORLD OF MANY WORLDS, P131
   Mahony M, 2018, PROG HUM GEOG, V42, P395, DOI 10.1177/0309132516681485
   Marres N, 2007, SOC STUD SCI, V37, P759, DOI 10.1177/0306312706077367
   Massey Doreen B., 2005, For Space
   Savransky M, 2012, POSTCOLONIAL STUD-UK, V15, P351, DOI 10.1080/13688790.2012.753572
   Stengers I., 2015, CATASTROPHIC TIMES R
NR 25
TC 0
Z9 0
U1 1
U2 2
PU FINNISH SOC SCIENCE & TECHNOLOGY STUDIES
PI TAMPERE
PA C/O OTTO AURANEN, SEPANKATU 4-8, TAMPERE, 33230, FINLAND
SN 2243-4690
J9 SCI TECHNOL STUD
JI Sci. Technol. Stud.
PY 2020
VL 33
IS 4
BP 50
EP 59
PG 10
WC History & Philosophy Of Science
WE Social Science Citation Index (SSCI)
SC History & Philosophy of Science
GA PG4ZF
UT WOS:000599744200003
DA 2025-01-10
ER

PT J
AU Cai, WJ
   Zhang, C
   Zhang, SH
   Ai, SQ
   Bai, YQ
   Bao, JZ
   Chang, N
   Chen, B
   Chen, HQ
   Cheng, LL
   Cui, XQ
   Dai, HC
   Danna, B
   Di, Q
   Dong, W
   Dong, WX
   Dou, DJ
   Fan, WC
   Fan, X
   Fang, XY
   Gao, T
   Gao, Y
   Geng, Y
   Guan, DB
   Guo, YF
   Hamilton, I
   Hu, YX
   Hua, JY
   Huang, CR
   Huang, H
   Huang, JB
   Jiang, QL
   Jiang, XP
   Ke, PY
   Kiesewetter, G
   Lampard, P
   Li, CX
   Li, RQ
   Li, SL
   Liang, L
   Lin, BR
   Lin, HL
   Liu, H
   Liu, QY
   Liu, XB
   Liu, XY
   Liu, YF
   Liu, Z
   Liu, Z
   Lou, SH
   Lu, CX
   Luo, Y
   Luo, ZY
   Ma, W
   McGushin, A
   Niu, YL
   Ren, C
   Ruan, ZL
   Schöpp, W
   Shan, YL
   Su, J
   Sun, TC
   Wang, C
   Wang, Q
   Wen, SM
   Xie, Y
   Xiong, H
   Xu, B
   Xu, M
   Yan, Y
   Yang, J
   Yang, LP
   Yang, X
   Yu, L
   Yue, YJ
   Zeng, YP
   Zhang, J
   Zhang, SH
   Zhang, Y
   Zhang, ZC
   Zhao, JY
   Zhao, L
   Zhao, MZ
   Zhao, Q
   Zhao, Z
   Zhou, JB
   Zhu, ZH
   Fu-chun, MCF
   Gong, P
AF Cai, Wenjia
   Zhang, Chi
   Zhang, Shihui
   Ai, Siqi
   Bai, Yuqi
   Bao, Junzhe
   Chang, Nan
   Chen, Bin
   Chen, Huiqi
   Cheng, Liangliang
   Cui, Xueqin
   Dai, Hancheng
   Danna, Bawuerjiang
   Di, Qian
   Dong, Wei
   Dong, Wenxuan
   Dou, Dejing
   Fan, Weicheng
   Fan, Xing
   Fang, Xiaoyi
   Gao, Tong
   Gao, Yuan
   Geng, Yang
   Guan, Dabo
   Guo, Yafei
   Hamilton, Ian
   Hu, Yixin
   Hua, Junyi
   Huang, Cunrui
   Huang, Hong
   Huang, Jianbin
   Jiang, Qiaolei
   Jiang, Xiaopeng
   Ke, Piyu
   Kiesewetter, Gregor
   Lampard, Pete
   Li, Chuanxi
   Li, Ruiqi
   Li, Shuangli
   Liang, Lu
   Lin, Borong
   Lin, Hualiang
   Liu, Huan
   Liu, Qiyong
   Liu, Xiaobo
   Liu, Xinyuan
   Liu, Yufu
   Liu, Zhao
   Liu, Zhu
   Lou, Shuhan
   Lu, Chenxi
   Luo, Yong
   Luo, Zhenyu
   Ma, Wei
   McGushin, Alice
   Niu, Yanlin
   Ren, Chao
   Ruan, Zengliang
   Schoepp, Wolfgang
   Shan, Yuli
   Su, Jing
   Sun, Taochun
   Wang, Can
   Wang, Qiong
   Wen, Sanmei
   Xie, Yang
   Xiong, Hui
   Xu, Bing
   Xu, Meng
   Yan, Yu
   Yang, Jun
   Yang, Lianping
   Yang, Xiu
   Yu, Le
   Yue, Yujuan
   Zeng, Yiping
   Zhang, Jing
   Zhang, Shaohui
   Zhang, Yao
   Zhang, Zhongchen
   Zhao, Jiyao
   Zhao, Liang
   Zhao, Mengzhen
   Zhao, Qi
   Zhao, Zhe
   Zhou, Jingbo
   Zhu, Zhenghong
   Fu-chun, Margaret Chan Fung
   Gong, Peng
TI Seizing the window of opportunity to mitigate the impact of climate
   change on the health of Chinese residents
SO CHINESE SCIENCE BULLETIN-CHINESE
LA Chinese
DT Article
DE climate change; public health; air pollution; heat; China
ID LANCET COUNTDOWN
AB The health threats posed by climate change in China are increasing rapidly. Each province faces different health risks. Without a timely and adequate response, climate change will impact lives and livelihoods at an accelerated rate and even prevent the achievement of the Healthy and Beautiful China initiatives. The 2021 China Report of the Lancet Countdown on Health and Climate Change is the first annual update of China's Report of the Lancet Countdown. It comprehensively assesses the impact of climate change on the health of Chinese households and the measures China has taken. Invited by the Lancet committee, Tsinghua University led the writing of the report and cooperated with 25 relevant institutions in and outside of China. The report includes 25 indicators within five major areas (climate change impacts, exposures, and vulnerability; adaptation, planning, and resilience for health; mitigation actions and health co-benefits; economics and finance; and public and political engagement) and a policy brief. This 2021 China policy brief contains the most urgent and relevant indicators focusing on provincial data: The increasing health risks of climate change in China; mixed progress in responding to climate change. In 2020, the heatwave exposures per person in China increased by 4.51 d compared with the 1986-2005 average, resulting in an estimated 92% increase in heatwave-related deaths. The resulting economic cost of the estimated 14500 heatwave-related deaths in 2020 is US$176 million. Increased temperatures also caused a potential 31.5 billion h in lost work time in 2020, which is equivalent to 1.3% of the work hours of the total national workforce, with resulting economic losses estimated at 1.4% of China's annual gross domestic product. For adaptation efforts, there has been steady progress in local adaptation planning and assessment in 2020, urban green space growth in 2020, and health emergency management in 2019. 12 of 30 provinces reported that they have completed, or were developing, provincial health adaptation plans. Urban green space, which is an important heat adaptation measure, has increased in 18 of 31 provinces in the past decade, and the capacity of China's health emergency management increased in almost all provinces from 2018 to 2019. As a result of China's persistent efforts to clean its energy structure and control air pollution, the premature deaths due to exposure to ambient particulate matter of 2.5 mu m or less (PM2.5) and the resulting costs continue to decline. However, 98% of China's cities still have annual average PM2.5 concentrations that are more than the WHO guideline standard of 10 mu g/m(3). It provides policymakers and the public with up-to-date information on China's response to climate change and improvements in health outcomes and makes the following policy recommendations. (1) Promote systematic thinking in the related departments and strengthen multi-departmental cooperation. Sectors related to climate and development in China should incorporate health perspectives into their policymaking and actions, demonstrating WHO's and President Xi Jinping's so-called health-in-all-policies principle. (2) Include clear goals and timelines for climate-related health impact assessments and health adaptation plans at both the national and the regional levels in the National Climate Change Adaptation Strategy for 2035. (3) Strengthen China's climate mitigation actions and ensure that health is included in China's pathway to carbon neutrality.
   By promoting investments in zero-carbon technologies and reducing fossil fuel subsidies, the current rebounding trend in carbon emissions will be reversed and lead to a healthy, low-carbon future. (4) Increase awareness of the linkages between climate change and health at all levels. Health professionals, the academic community, and traditional and new media should raise the awareness of the public and policymakers on the important linkages between climate change and health.
C1 [Cai, Wenjia; Zhang, Shihui; Bai, Yuqi; Cui, Xueqin; Guan, Dabo; Huang, Jianbin; Ke, Piyu; Liu, Yufu; Liu, Zhao; Liu, Zhu; Lou, Shuhan; Lu, Chenxi; Luo, Yong; Sun, Taochun; Yu, Le; Zhao, Jiyao] Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China.
   [Zhang, Chi; Zhao, Mengzhen] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China.
   [Ai, Siqi; Chen, Huiqi; Cheng, Liangliang; Ruan, Zengliang; Wang, Qiong; Zhu, Zhenghong] Sun Yat Sen Univ, Sch Publ Hlth, Guangzhou 510080, Peoples R China.
   [Bao, Junzhe] Zhengzhou Univ, Coll Publ Hlth, Zhengzhou 450001, Peoples R China.
   [Chang, Nan] Nanjing Med Univ, Sch Publ Hlth, Nanjing 211166, Peoples R China.
   [Chen, Bin] Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China.
   [Dai, Hancheng; Liu, Xinyuan] Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China.
   [Danna, Bawuerjiang; Jiang, Qiaolei; Wen, Sanmei] Tsinghua Univ, Sch Journalism & Commun, Beijing 100084, Peoples R China.
   [Di, Qian; Huang, Cunrui; Fu-chun, Margaret Chan Fung] Tsinghua Univ, Vanke Sch Publ Hlth, Beijing 100084, Peoples R China.
   [Dong, Wei] Zhejiang Univ, Sch Earth Sci, Hangzhou 310058, Peoples R China.
   [Dong, Wenxuan; Fan, Weicheng; Huang, Hong; Li, Ruiqi] Tsinghua Univ, Inst Publ Safety Res, Beijing 100084, Peoples R China.
   [Dong, Wenxuan; Fan, Weicheng; Huang, Hong; Li, Ruiqi] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China.
   [Dou, Dejing; Zhou, Jingbo] Baidu Res, Beijing 100091, Peoples R China.
   [Fan, Xing] Shandong Normal Univ, Inst Environm & Ecol, Jinan 250013, Peoples R China.
   [Fang, Xiaoyi] Chinese Acad Meteorol Sci, Meteorol Impact & Risk Res Ctr, Beijing 100086, Peoples R China.
   [Gao, Tong] Shandong Normal Univ, Sch Business, Jinan 250013, Peoples R China.
   [Gao, Yuan; Guo, Yafei; Niu, Yanlin; Xu, Meng; Yue, Yujuan] Chinese Ctr Dis Control & Prevent, Natl Inst Commun Dis Control & Prevent, State Key Lab Infect Dis Prevent & Control, Beijing 102206, Peoples R China.
   [Geng, Yang; Lin, Borong; Zhang, Zhongchen] Tsinghua Univ, Sch Architecture, Beijing 100084, Peoples R China.
   [Guo, Yafei] Chinese Ctr Dis Control & Prevent, Natl Inst Environm Hlth, Key Lab Environm & Populat Hlth, Beijing 102206, Peoples R China.
   [Hamilton, Ian] UCL, Energy Inst, London WC1E 6BT, England.
   [Hu, Yixin] Southern Univ Sci & Technol, Dept Stat & Data Sci, Shenzhen 518055, Peoples R China.
   [Hua, Junyi; Ren, Chao] Univ Hong Kong, Sch Architecture, Hong Kong 999077, Peoples R China.
   [Jiang, Xiaopeng] World Hlth Org Representat Off China, Beijing 100600, Peoples R China.
   [Kiesewetter, Gregor; Schoepp, Wolfgang; Zhang, Shaohui] Int Inst Appl Syst Anal IIASA, Pollut Management Res Grp, Energy Climate & Environm Program, Schlosspl 1, A-2361 Laxenburg, Austria.
   [Lampard, Pete] Univ York, Dept Hlth Sci, York YO10 5DD, England.
   [Li, Chuanxi; Ma, Wei; Zhao, Qi; Zhao, Zhe] Shandong Univ, Sch Publ Hlth, Dept Epidemiol, Cheeloo Coll Med, Jinan 250002, Peoples R China.
   [Li, Shuangli] Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei 230027, Peoples R China.
   [Liang, Lu] Univ North Texas, Dept Geog & Environm, Denton, TX 76203 USA.
   [Liu, Huan; Luo, Zhenyu] Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China.
   [Lu, Chenxi] Univ Exeter, Coll Life & Environm Sci, Geog, Exeter EX1 2LU, England.
   [Ma, Wei; Zhao, Qi] Shandong Univ, Climate Change & Hlth Ctr, Jinan 250002, Peoples R China.
   [McGushin, Alice] UCL, Inst Global Hlth, London WC1H 0AL, England.
   [Shan, Yuli] Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, England.
   [Su, Jing] Tsinghua Univ, Sch Humanities, Beijing 100084, Peoples R China.
   [Xie, Yang; Zhang, Shaohui] Beihang Univ, Sch Econ & Management, Beijing 100083, Peoples R China.
   [Xiong, Hui] Hong Kong Univ Sci & Technol, Artificial Intelligence Thrust, Guangzhou 511443, Peoples R China.
   [Yang, Jun] Jinan Univ, Inst Environm & Climate Res, Guangzhou 510632, Peoples R China.
   [Yang, Xiu] Tsinghua Univ, Inst Climate Change & Sustainable Dev, Beijing 100084, Peoples R China.
   [Zeng, Yiping] Tsinghua Univ, Schwarzman Scholars, Beijing 100084, Peoples R China.
   [Zhang, Yao] Tsinghua Univ, Div Sports Sci & Phys Educ, Beijing 100084, Peoples R China.
   [Zhao, Liang] Chinese Acad Sci, State Key Lab Numer Modeling Atmosphere Sci & Geo, Inst Atmospher Phys, Beijing 100029, Peoples R China.
   [Gong, Peng] Univ Hong Kong, Dept Earth Sci, Hong Kong 999077, Peoples R China.
   [Gong, Peng] Univ Hong Kong, Dept Geog, Hong Kong 999077, Peoples R China.
C3 Tsinghua University; Beijing Institute of Technology; Sun Yat Sen
   University; Zhengzhou University; Nanjing Medical University; Beijing
   Normal University; Peking University; Tsinghua University; Tsinghua
   University; Zhejiang University; Tsinghua University; Tsinghua
   University; Baidu; Shandong Normal University; China Meteorological
   Administration; Chinese Academy of Meteorological Sciences (CAMS);
   Shandong Normal University; Chinese Center for Disease Control &
   Prevention; National Institute for Communicable Disease Control &
   Prevention, Chinese Center for Disease Control & Prevention; Tsinghua
   University; Chinese Center for Disease Control & Prevention; National
   Institute of Environmental Health, Chinese Center for Disease Control &
   Prevention; University of London; University College London; Southern
   University of Science & Technology; University of Hong Kong;
   International Institute for Applied Systems Analysis (IIASA); University
   of York - UK; Shandong University; Chinese Academy of Sciences;
   University of Science & Technology of China, CAS; University of North
   Texas System; University of North Texas Denton; Tsinghua University;
   University of Exeter; Shandong University; University of London;
   University College London; University of Birmingham; Tsinghua
   University; Beihang University; Hong Kong University of Science &
   Technology; Jinan University; Tsinghua University; Tsinghua University;
   Tsinghua University; Chinese Academy of Sciences; Institute of
   Atmospheric Physics, CAS; University of Hong Kong; University of Hong
   Kong
RP Gong, P (corresponding author), Univ Hong Kong, Dept Earth Sci, Hong Kong 999077, Peoples R China.; Gong, P (corresponding author), Univ Hong Kong, Dept Geog, Hong Kong 999077, Peoples R China.
EM penggong@hku.hk
RI Wang, Zixuan/HZJ-2348-2023; Zhao, Mengzhen/HDL-9973-2022; Wang,
   Qianghu/HJI-9741-2023; Niu, Yanlin/HGB-7074-2022; Dai,
   Hancheng/Y-8275-2019; Xu, Bing/C-7732-2015; Huang, Cunrui/ABI-3312-2020;
   Shan, Yuli/N-7747-2015; Zhao, Liang/F-2300-2010; liu,
   huan/JKI-3764-2023; Wang, Weidong/AAV-2446-2021; Zhang,
   XZ/HJA-4189-2022; Yan, Yu/P-5062-2019; wang, wei/IUO-1100-2023; Guan,
   Dabo/Y-2406-2019; Ma, Wei/C-4748-2019; Ruan, Zengliang/AAD-3032-2022;
   Wang, Yibin/KEZ-9645-2024; Jiang, Xiaopeng/LLK-5333-2024; Yang,
   Jun/E-2519-2011; Huang, Jianbin/AAP-5941-2020; Di, Qian/LSL-4673-2024;
   Yang, Shilin/AAJ-2491-2021; Fan, Weicheng/KHV-4959-2024; Hu,
   Yixin/GSJ-0083-2022; Su, Jing/Q-1928-2018; Cai, Wenjia/AAI-3660-2021;
   Li, Yong/AAA-1220-2022; Chen, Bin/A-6951-2012; Guo, Yafei/U-5895-2019;
   ZHAO, JIYAO/KGK-4583-2024; Hua, Junyi/AAH-2369-2021; LU,
   CX/KFB-9510-2024; Zhang, Chi/JSK-0744-2023; REN, CHAO/KRO-9616-2024;
   Zhang, Shaohui/ABD-5178-2021; Geng, Yang/GPS-6191-2022; Zhu,
   Zhenghong/LHA-6809-2024
OI Chen, Huiqi/0000-0002-4608-4495; Geng, Yang/0000-0002-9296-5664; Zhu,
   Zhenghong/0000-0003-4158-2812; , REN CHAO/0009-0006-5629-9947
CR Cai WJ, 2021, LANCET PUBLIC HEALTH, V6, pE932, DOI 10.1016/S2468-2667(21)00209-7
   Cai WJ, 2021, CHIN SCI B-CHIN, V66, P3925, DOI 10.1360/TB-2021-0140
   Cai WJ, 2021, LANCET PUBLIC HEALTH, V6, pE64, DOI 10.1016/S2468-2667(20)30256-5
   [蔡闻佳 Cai Wenjia], 2018, [科学通报, Chinese Science Bulletin], V63, P1205
   Cui XQ, 2020, CHIN SCI B-CHIN, V65, P12, DOI 10.1360/N972019-00185
   International Renewable Energy Agency, 2021, REN EN JOBS ANN REV
   Watts N, 2021, LANCET, V397, P129, DOI 10.1016/S0140-6736(20)32290-X
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
NR 8
TC 2
Z9 4
U1 13
U2 61
PU SCIENCE PRESS
PI EPHRATA
PA 300 WEST CHESNUT ST, EPHRATA, PA 17522 USA
SN 0023-074X
EI 2095-9419
J9 CHIN SCI B-CHIN
JI Chin. Sci. Bull.-Chin.
PY 2023
VL 68
IS 15
BP 1899
EP 1905
DI 10.1360/TB-2022-0709
PG 7
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA L8KF9
UT WOS:001025691500006
DA 2025-01-10
ER

PT J
AU Avileis, FG
   Mallory, ML
AF Avileis, Felipe G.
   Mallory, Mindy L.
TI The impact of Brazil on global grain dynamics: A study on cross-market
   volatility spillovers
SO AGRICULTURAL ECONOMICS
LA English
DT Article
DE cointegration; corn; GARCH; soybeans; volatility spillovers
ID PRICE DISCOVERY; FUTURES; CORN; TRANSMISSION; ETHANOL; WHEAT; OIL
AB Brazil's rise as a global powerhouse producer of soybeans and corn over the past 15 years has fundamentally changed global markets in these commodities. Brazil's rise is arguably due to the development of varieties of soybean and corn adapted to climates within Brazil, allowing farmers to double-crop corn after soybeans in the same year. Corn and soybean market participants increasingly look to Brazil for fundamental price information, and studies have shown that the two markets have become cointegrated. However little is known about how much volatility from each market spills over to the other. In this article, we measure volatility spillover ratios between U.S. and Brazilian first crop corn, second-crop corn, and soybeans. We find that linkages between the two countries increased after double-cropping corn after soybeans expanded, volatility spillover magnitudes expanded, and the direction of volatility spillovers flipped from U.S. volatility spilling over to Brazil before double cropping, to Brazil spilling over to U.S. after double cropping.
C1 [Avileis, Felipe G.] Univ Illinois, Urbana, IL USA.
   [Mallory, Mindy L.] Purdue Univ, Clearing Corp Endowed Chair Food & Agr Mkt, 615 West State St, W Lafayette, IN 47907 USA.
C3 University of Illinois System; University of Illinois Urbana-Champaign;
   Purdue University System; Purdue University
RP Mallory, ML (corresponding author), Purdue Univ, Clearing Corp Endowed Chair Food & Agr Mkt, 615 West State St, W Lafayette, IN 47907 USA.
EM mlmallor@purdue.edu
OI G. Avileis, Felipe/0009-0009-4284-2832
CR Balcombe K, 2007, AM J AGR ECON, V89, P308, DOI 10.1111/j.1467-8276.2007.01013.x
   BOLLERSLEV T, 1988, J POLIT ECON, V96, P116, DOI 10.1086/261527
   BOLLERSLEV T, 1990, REV ECON STAT, V72, P498, DOI 10.2307/2109358
   Cheung YW, 1996, J ECONOMETRICS, V72, P33, DOI 10.1016/0304-4076(94)01714-X
   Cruz  JC, 2018, ECON BULL, V38, P2273
   Engle R, 2002, J BUS ECON STAT, V20, P339, DOI 10.1198/073500102288618487
   ENGLE RF, 1995, ECONOMET THEOR, V11, P122, DOI 10.1017/S0266466600009063
   GARBADE KD, 1983, REV ECON STAT, V65, P289, DOI 10.2307/1924495
   Gardebroek C, 2013, ENERG ECON, V40, P119, DOI 10.1016/j.eneco.2013.06.013
   Janzen JP, 2017, AM J AGR ECON, V99, P1188, DOI 10.1093/ajae/aax046
   JOHANSEN S, 1991, ECONOMETRICA, V59, P1551, DOI 10.2307/2938278
   Kohlscheen E, 2014, INT J FINANC ECON, V19, P239, DOI 10.1002/ijfe.1493
   Laca A., 2017, AGWEB FARM J
   Li C, 2017, J FUTURES MARKETS, V37, P52, DOI 10.1002/fut.21794
   Mattos F., 2015, P NCCC 134 C APPL CO
   Miao RQ, 2016, AM J AGR ECON, V98, P191, DOI 10.1093/ajae/aav025
   Trujillo-Barrera A, 2012, J AGR RESOUR ECON, V37, P247
   Wu F, 2011, J FUTURES MARKETS, V31, P1052, DOI 10.1002/fut.20499
NR 18
TC 2
Z9 3
U1 6
U2 30
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0169-5150
EI 1574-0862
J9 AGR ECON-BLACKWELL
JI Agric. Econ.
PD MAR
PY 2022
VL 53
IS 2
BP 231
EP 245
DI 10.1111/agec.12693
EA JAN 2022
PG 15
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA ZO9AI
UT WOS:000745853400001
OA Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU Swanson, ME
   Magee, MI
   Nelson, AS
   Engstrom, R
   Adams, HD
AF Swanson, Mark E.
   Magee, Margaret I.
   Nelson, Andrew S.
   Engstrom, Rudy
   Adams, Henry D.
TI Experimental downed woody debris-created microsites enhance tree
   survival and growth in extreme summer heat
SO FRONTIERS IN FORESTS AND GLOBAL CHANGE
LA English
DT Article
DE downed woody debris; microsite; seedling survival; heat; topography;
   climate adaptive reforestation
ID PICEA-TSUGA FORESTS; CLIMATE-CHANGE; REGENERATION; ESTABLISHMENT;
   VEGETATION; MOUNTAINS; WILDFIRES; SEEDLINGS; DYNAMICS; MOISTURE
AB IntroductionIncreasing temperatures associated with climate change can lead to more challenging conditions for tree seedlings, including greater soil surface temperatures and reduced growing season soil moisture. Downed woody debris (DWD) may provide microsite effects, such as shade, that moderate these conditions for seedlings. However, few studies have conducted fine-scale assessments of the strength of the microsite as a function of distance from DWD or how the microsite effect differs between species or across topographic gradients.MethodsIn this study, conducted in the Palouse region of eastern Washington State, we placed three large pieces of DWD (5 m length x 40-50 cm small-end diameter, oriented east-west) on each of three topographic facets (north-facing, flat ridge-top, and south-facing), and planted transects of seedlings of a xerophytic conifer (ponderosa pine, Pinus ponderosa) and a mesophytic conifer (Douglas-fir, Pseudotsuga menziesii) on both sides of the DWD at fixed distances (0, 0.25, 0.5, and 1.5 m). The 1.5 m distance was assumed to serve as a control, with no measurable influence from DWD. Seedling responses (stress rating, survival, basal diameter and height growth, and dark-adapted chlorophyll fluorescence) over two growing seasons were used to interpret the influence of DWD on seedling health and survival, especially during stressful episodes of extreme heat, such as occurred during July 2021, the first growing season of the experiment. Soil surface temperature and soil volumetric water content (10 cm depth) were measured at all seedling locations to understand biophysical contributors to seedling response.ResultsWe found that seedlings of both conifers displayed lower stress ratings, higher survival, and greater height growth close to the north side of DWD, with this effect especially pronounced on the flat ridge-top and the south-facing slope. Soil surface temperature decreased greatly in the "shade zone" at 0.0 m and 0.25 m distances on the north side of DWD, and soil volumetric water content declined more quickly outside of the shaded microsite.DiscussionThese findings suggest that creating or retaining DWD on stressful sites may prove an important climate adaptive management strategy in ecosystem restoration or forest management, especially if extreme heat events continue to increase in frequency.
C1 [Swanson, Mark E.; Magee, Margaret I.; Engstrom, Rudy; Adams, Henry D.] Washington State Univ, Sch Environm, Pullman, WA 99164 USA.
   [Nelson, Andrew S.] Univ Idaho, Coll Nat Resources, Franklin H Pitkin Forest Nursery, Moscow, ID USA.
C3 Washington State University; University of Idaho
RP Swanson, ME; Magee, MI (corresponding author), Washington State Univ, Sch Environm, Pullman, WA 99164 USA.
EM markswanson@wsu.edu; margaret.magee@wsu.edu
RI Adams, Henry/AAV-6870-2021; Nelson, Andrew/N-4737-2018
OI Swanson, Mark/0000-0002-6295-2838; Nelson, Andrew/0000-0001-8715-7825
FU MS and HA are supported in part by the USDA National Institute of Food
   and Agriculture, McIntire-Stennis project #1019284. MM was supported by
   the Emerging Research Issues in Agriculture program, grant #PG00019576,
   College of Agricultural, Human, and Natur [1019284]; USDA National
   Institute of Food and Agriculture, McIntire-Stennis project
   [PG00019576]; Emerging Research Issues in Agriculture program; Natural
   Resource Sciences at Washington State University; School of the
   Environment, Washington State University
FX MS thanks the Washington State University Forestry Club/Society of
   American Foresters Student Chapter for their volunteer work in
   harvesting and placing the logs, particularly highlighting the help of
   Jonathon Turner, Sean Alexander, Cole Shirley, and Elijah Loftis. John
   Fluegel, site manager at the E.H. Steffen Center, and Lisa A. Shipley,
   director of the Steffen Center, provided encouragement and support. The
   authors are grateful to Rob Smith of WSU Institutional Research, and
   Trey DeJong and David Rice of the Center for Interdisciplinary
   Statistical Education and Research at Washington State University for
   extremely helpful comments and advice regarding data analysis. Thanks to
   Gabrielle Mickelson for assistance with early field work, and to her
   friends Colin Kirk-Patterson and Austin Cozad for cheerful and energetic
   volunteer work with planting of the conifer seedlings. All authors are
   grateful for the incisive and thorough comments provided by two
   reviewers, which we believe have resulted in appreciable improvements to
   the article.r MS and HA are supported in part by the USDA National
   Institute of Food and Agriculture, McIntire-Stennis project #1019284. MM
   was supported by the Emerging Research Issues in Agriculture program,
   grant #PG00019576, College of Agricultural, Human, and Natural Resource
   Sciences at Washington State University. Conifer seedlings were
   generously provided by the Franklin H. Pitkin Forest Nursery at the
   University of Idaho, while site permissions were provided by the School
   of the Environment, Washington State University.
CR [Anonymous], 2023, US Climate Data
   Bailey TG, 2012, FOREST ECOL MANAG, V269, P229, DOI 10.1016/j.foreco.2011.12.021
   Bolton NW, 2011, FOREST ECOL MANAG, V262, P1215, DOI 10.1016/j.foreco.2011.06.019
   Boucher D, 2020, NEW FOREST, V51, P543, DOI 10.1007/s11056-019-09745-6
   Breshears DD, 2021, NEW PHYTOL, V231, P32, DOI 10.1111/nph.17348
   Brown J. K., 2003, General Technical Report - Rocky Mountain Research Station, USDA Forest Service
   Burns R. M., 1990, Silvics of North America. Agriculture Handbook
   Callaway RM, 1998, OIKOS, V82, P561, DOI 10.2307/3546376
   Castro J, 2004, RESTOR ECOL, V12, P352, DOI 10.1111/j.1061-2971.2004.0316.x
   Cavender-Bares J, 2004, ADV PHOTO RESPIRAT, V19, P737
   CHILDS SW, 1987, FOREST ECOL MANAG, V18, P205, DOI 10.1016/0378-1127(87)90161-7
   Christensen Rune Haubo Bojesen, 2023, CRAN
   Clark-Wolf K, 2022, FOREST ECOL MANAG, V523, DOI 10.1016/j.foreco.2022.120487
   Conard SG., 1982, Madrono, V29, P42
   DAUBENMIRE R, 1968, ECOLOGY, V49, P431, DOI 10.2307/1934109
   Davis KT, 2019, P NATL ACAD SCI USA, V116, P6193, DOI 10.1073/pnas.1815107116
   Donaldson N.C., 1980, Soil survey of Whitman County, Washington
   Fitzgerald S. A., 2008, Successful reforestation: An overview, P1498
   FLINT LE, 1987, FOREST ECOL MANAG, V18, P189, DOI 10.1016/0378-1127(87)90160-5
   Franklin J.F., 1988, NATURAL VEGETATION O
   Franklin JF., 2000, CONSERVATION BIOL PR, V1, P8, DOI [10.1111/j.1526-4629.2000.tb00155.x, DOI 10.1111/J.1526-4629.2000.TB00155.X]
   García-Camacho R, 2010, AM J BOT, V97, P1791, DOI 10.3732/ajb.1000248
   Goldin SR, 2015, AGR FOREST METEOROL, V214, P39, DOI 10.1016/j.agrformet.2015.07.011
   Goldin SR, 2014, SOIL RES, V52, P637, DOI 10.1071/SR13337
   Goor A. Y., 1968, Forest tree planting in arid zones
   Gray AN, 1997, ECOLOGY, V78, P2458, DOI 10.1890/0012-9658(1997)078[2458:MCOTSE]2.0.CO;2
   Guadagno CR, 2017, PLANT PHYSIOL, V175, P223, DOI 10.1104/pp.16.00581
   HARMON ME, 1986, ADV ECOL RES, V15, P133, DOI 10.1016/S0065-2504(08)60121-X
   HARMON ME, 1989, AM MIDL NAT, V121, P112, DOI 10.2307/2425662
   HARMON ME, 1989, ECOLOGY, V70, P48, DOI 10.2307/1938411
   Heinemann K, 2006, J BIOGEOGR, V33, P1357, DOI 10.1111/j.1365-2699.2006.01511.x
   Hill EM, 2020, FOREST ECOL MANAG, V463, DOI 10.1016/j.foreco.2020.118037
   Horton RM, 2016, CURR CLIM CHANGE REP, V2, P242, DOI 10.1007/s40641-016-0042-x
   Kemp KB, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2568
   KITAJIMA M, 1975, BIOCHIM BIOPHYS ACTA, V376, P105, DOI 10.1016/0005-2728(75)90209-1
   Kuijper DPJ, 2010, J ECOL, V98, P888, DOI 10.1111/j.1365-2745.2010.01656.x
   Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
   Legras EC, 2010, FOREST ECOL MANAG, V260, P806, DOI 10.1016/j.foreco.2010.05.039
   Lindenmayer D.B., 2012, Salvage logging and its ecological consequences
   Marangon D, 2022, FOREST ECOL MANAG, V508, DOI 10.1016/j.foreco.2022.120050
   Marcolin E, 2019, FORESTS, V10, DOI 10.3390/f10111014
   Marsh C, 2022, AGR FOREST METEOROL, V313, DOI 10.1016/j.agrformet.2021.108741
   Marzano R, 2013, ECOL ENG, V51, P117, DOI 10.1016/j.ecoleng.2012.12.030
   Maser C., 1979, U S Department of Agriculture Agriculture Handbook, P78
   McCune B, 2002, J VEG SCI, V13, P603, DOI 10.1111/j.1654-1103.2002.tb02087.x
   MCDONALD P M, 1991, New Forests, V5, P147, DOI 10.1007/BF00029305
   Meigs GW, 2023, FORESTRY, V96, P340, DOI 10.1093/forestry/cpac046
   Mitchell W. K., 1990, Regenerating British Columbias forests
   Monsanto PG, 2008, FOREST ECOL MANAG, V255, P3952, DOI 10.1016/j.foreco.2008.03.048
   Motta R, 2006, FOREST ECOL MANAG, V235, P155, DOI 10.1016/j.foreco.2006.08.007
   Neter J., 1996, Applied linear statistical models, VFourth edition
   OLIVER CD, 1981, FOREST ECOL MANAG, V3, P153
   Petrie MD, 2017, ECOLOGY, V98, P1548, DOI 10.1002/ecy.1791
   Plamboeck Agneta H., 2008, Madrono, V55, P191, DOI 10.3120/0024-9637-55.3.191
   Quinn G.P., 2002, Experimental Design and Data Analysis for Biologists
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Reely JA, 2021, FORESTS, V12, DOI 10.3390/f12050597
   Roccaforte JP, 2012, CAN J FOREST RES, V42, P593, DOI [10.1139/X2012-010, 10.1139/x2012-010]
   Seidl R, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2202190119
   SOLLINS P, 1982, CAN J FOREST RES, V12, P18, DOI 10.1139/x82-003
   Spies T. A., 1988, Coarse woody debris in forests and plantations of coastal Oregon. From the forest to the sea: a story of fallen trees. Gen. Tech. Rep. PNW-GTR-229, P5
   STEIN WI, 1977, J FOREST, V75, P575
   Stevens-Rumann CS, 2018, ECOL LETT, V21, P243, DOI 10.1111/ele.12889
   Still CJ, 2023, TREE PHYSIOL, V43, P203, DOI 10.1093/treephys/tpac143
   Sullivan TP, 2018, CROP PROT, V112, P49, DOI 10.1016/j.cropro.2018.05.008
   Swanson ME, 2011, FRONT ECOL ENVIRON, V9, P117, DOI 10.1890/090157
   Takahashi M, 2000, CAN J FOREST RES, V30, P1148, DOI 10.1139/cjfr-30-7-1148
   Tepley AJ, 2017, GLOBAL CHANGE BIOL, V23, P4117, DOI 10.1111/gcb.13704
   Tesch S. D., 1991, Research Bulletin, V72
   Urza AK, 2019, NEW PHYTOL, V223, P1795, DOI 10.1111/nph.15957
   White RH, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36289-3
   Wooten JT, 2022, FIRE ECOL, V18, DOI 10.1186/s42408-022-00133-8
NR 72
TC 2
Z9 2
U1 0
U2 4
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 OCT 2
PY 2023
VL 6
AR 1224624
DI 10.3389/ffgc.2023.1224624
PG 19
WC Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Forestry
GA U1ZH0
UT WOS:001082851600001
OA gold
DA 2025-01-10
ER

PT C
AU Hayta, BN
   Köksal, MA
AF Hayta, Buse Nur
   Koksal, Merih Aydinalp
GP IEEE
TI Forecasting Wind Power Plant Electricity Generation at the Marmara Basin
   Based on Climate Change Projections
SO 2024 INTERNATIONAL CONFERENCE ON RENEWABLE ENERGIES AND SMART
   TECHNOLOGIES, REST 2024
LA English
DT Proceedings Paper
CT International Conference on Renewable Energies and Smart Technologies
   (REST)
CY JUN 27-28, 2024
CL UNMIK, Prishtina, KOSOVO
HO UNMIK
DE climate change; climate adaptation; climate vulnerability; renewable
   energy; wind energy; wind power plant
AB Projections indicate a continuing rise in greenhouse gas emissions until 2100, influencing several aspects of climate, such as temperature and wind speed. This research aims to develop recommendations aligning with Turkey's renewable energy strategies, evaluating the possible impacts of changing wind energy-related parameters on wind power plants. The study focuses explicitly on wind energy-based electricity generation in the Marmara Basin, which accounts for 48% of the installed wind power capacity in the Marmara Region. Machine learning and statistical methods are used to develop models to predict future wind energy-based electricity generation. These models consider wind speed and temperature estimates derived from RCP4.5 and RCP8.5 between 2016-2098. The findings suggest an anticipated decrease in electricity generation from wind power plants in the Marmara Basin, with a predicted fall ranging from -6% to -4% by 2098. This loss is expected to impact about 87 to 144 thousand households' electricity demand, which may require establishing additional wind power facilities.
C1 [Hayta, Buse Nur; Koksal, Merih Aydinalp] Hacettepe Univ, Environm Engn Dept, Ankara, Turkiye.
C3 Hacettepe University
RP Hayta, BN (corresponding author), Hacettepe Univ, Environm Engn Dept, Ankara, Turkiye.
EM buse.hayta8@gmail.com; aydinalp@hacettepe.edu.tr
FU Hacettepe University Scientific Research Projects Coordination Unit
   [FHD-2023-20565]
FX This study is funded by the Hacettepe University Scientific Research
   Projects Coordination Unit (Project Number: FHD-2023-20565).
CR Buturache A-N., 2021, Low Carbon Econ, V12, P1, DOI DOI 10.4236/LCE.2021.121001
   Carvalho D, 2021, RENEW SUST ENERG REV, V151, DOI 10.1016/j.rser.2021.111594
   Cetin I. I., 2023, Potential Impacts Of Climate Change On Wind Energy Resources In Turkiye
   Copernicus, Climate reanalysis
   data.tuik.gov, Nufus Projeksiyonlari, 2018-2080
   Davy R, 2018, RENEW SUST ENERG REV, V81, P1652, DOI 10.1016/j.rser.2017.05.253
   ENERJISA, Mesken Aboneleri icin Ortalama Gunluk Tuketim
   epdk.gov, 2022, Yili Nihai YEK Listesi
   EPIAS, Seffaflik
   European Commission, 2020, Statistical Regions in the European Union and Partner Countries, DOI [10.2785/72829, DOI 10.2785/72829]
   iea. blob.core.windows, The Future of Cooling
   Li DL, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2020JD032874
   Martinez A, 2024, ENERGY, V288, DOI 10.1016/j.energy.2023.129765
   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]
   Rapella L, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acbdb2
   sbb.gov, 2024, ON IKINCI KALKINMA PLANI
   teias.gov, ARALIK 2022 KURULU GUC RAPORU
   Wang SJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030876
   Wickramasinghe L, 2022, GAZI U J SCI, V35, P1359, DOI 10.35378/gujs.961338
   WMO, 2022 State of Climate Services
   WorldBankGroup, Climate Change Knowledge Portal
   Yang YC, 2022, ENERGIES, V15, DOI 10.3390/en15010302
   Zakari Y, 2022, FRONT ENERGY RES, V10, DOI 10.3389/fenrg.2022.859321
NR 23
TC 0
Z9 0
U1 1
U2 1
PU IEEE
PI NEW YORK
PA 345 E 47TH ST, NEW YORK, NY 10017 USA
BN 979-8-3503-5891-9; 979-8-3503-5890-2
PY 2024
DI 10.1109/REST59987.2024.10645370
PG 5
WC Computer Science, Interdisciplinary Applications; Green & Sustainable
   Science & Technology; Energy & Fuels
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Science & Technology - Other Topics; Energy & Fuels
GA BX6EU
UT WOS:001308324600006
DA 2025-01-10
ER

PT J
AU Stefan, FM
   Ghinea, A
   Chelmea, C
AF Stefan, Floriana Maria
   Ghinea, Adrian
   Chelmea, Carmen
TI TEMPORAL ASSESSMENT OF POTATO RESILIENCE IN CHARACTERISTIC CULTIVATION
   AREAS FROM ROMANIA
SO SCIENTIFIC PAPERS-SERIES A-AGRONOMY
LA English
DT Article
DE climate resilience; favorability area; multiannual synthesis; potato;
   hydro-thermal coefficient
ID CLIMATE-CHANGE; DROUGHT; INDEXES; RISKS; IMPACTS
AB In line with the priorities of the European Green Deal, in particular the climate adaptation strategy and the EU`s climate change mitigation ambition for the years 2030 and 2050, assessing potato resilience in a changing climate to face both natural and induced hazards by humans, requires planning, management and extension of researches. Thus, a long-term multiannual climate synthesis (over 25 years) was carried out, in order to evaluate temporal potato resilience in areas with known favorability for potato cultivation in Romania (Brasov, Covasna, Harghita, Suceava, Dolj). Interlinking synthesis results supports attenuation and adaptation to identified emerging threats. The trend during the potato vegetation period (April-October) was highlighted and the hydro-thermal coefficient was calculated. In all traditional areas of potato cultivation, a constant trend of increasing air temperature and decreasing precipitation during the summer has been observed, especially in the flowering-maturing phenophase, when the plants achieve maximum water consumption, with a very important role in the process of intense accumulation of production
C1 [Stefan, Floriana Maria; Ghinea, Adrian; Chelmea, Carmen] Natl Inst Res & Dev Potato & Sugar Beet Brasov, 2 Fundaturii St, Brasov, Romania.
RP Stefan, FM (corresponding author), Natl Inst Res & Dev Potato & Sugar Beet Brasov, 2 Fundaturii St, Brasov, Romania.
EM maria.stefan@potato.ro
RI Stefan, Floriana Maria/ISA-2410-2023
FX The results are obtained within the ADER 5.1.1. (2023-2026) project,
   financed by the Ministry of Agriculture and Rural Development (Romania)
   and contributes to the modeling of the potato ideotype for the
   traditional potato areas of our country.Thanks to the project partners
   for the support provided
CR Adekanmbi T, 2023, FOODS, V12, DOI 10.3390/foods12061176
   Alahacoon N, 2022, GEOMAT NAT HAZ RISK, V13, P762, DOI 10.1080/19475705.2022.2044394
   Barascu N., 2013, Magazine Potato in Romania, V22, P17
   Chandrasekara SSK, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12030369
   Chmist-Sikorska J, 2022, ITAL J AGROMETEOROL, P3, DOI 10.36253/ijam-1530
   Diaconu A., 2007, Magazine Potato in Romania,, V17, P68
   George TS, 2017, POTATO RES, V60, P239, DOI 10.1007/s11540-018-9366-3
   Ghosh KG, 2019, GEOENVIRONMENTAL DIS, V6, DOI 10.1186/s40677-018-0117-1
   Gudko V, 2021, THEOR APPL CLIMATOL, V145, P989, DOI 10.1007/s00704-021-03677-y
   Handayani T, 2019, BREEDING SCI, V69, P545, DOI 10.1270/jsbbs.19070
   Hermeziu M., 2023, Magazine Potato in Romania, V32, P26
   Hoffmann D, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2019JD031946
   Hurduzeu G, 2014, PROC ECON FINANC, V8, P346, DOI 10.1016/S2212-5671(14)00100-2
   Jayawardhana W. G. N. N., 2020, J. Remote Sens. GIS., V9, P272
   Jennings SA, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.519324
   Kim TW, 2020, WATER-SUI, V12, DOI 10.3390/w12071862
   Korres N., 2017, WATER RESOURCES RURA, V9, P12, DOI DOI 10.1016/J.WRR.2016.10.001
   Lal M, 2017, PRACT PRO PR SUSTAIN, P205, DOI 10.4018/978-1-5225-1715-3.ch010
   Leblois A, 2013, METEOROL APPL, V20, P1, DOI 10.1002/met.303
   Li Q, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10030426
   Lynn B. A., 2022, Doctoral dissertation
   Manatsa D, 2017, THEOR APPL CLIMATOL, V127, P259, DOI 10.1007/s00704-015-1632-6
   Mike G., 2019, Magazine Potato in Romania, V28, P35
   Mike G., 2022, Magazine Potato in Romania, V31, P76
   Moroianu I, 2023, Magazine Potato in Romania, V32, P1
   Mukherjee S, 2018, CURR CLIM CHANGE REP, V4, P145, DOI 10.1007/s40641-018-0098-x
   Myronidis D, 2018, HYDROLOG SCI J, V63, P2005, DOI 10.1080/02626667.2018.1554285
   Nikolaev MV, 2020, METEOROL HYDROL WATE, V8, P46, DOI 10.26491/mhwm/111543
   Olteanu G., 2016, INT C CLIM CHANG PER
   Olteanu G., 2007, Magazine Potato in Romania, V17, P62
   Olteanu G., 2013, Magazine Potato in Romania, V22, P10
   Oprea I, 2020, Magazine Potato in Romania, V29, P7
   Paraschiv A. N., 2023, Magazine Potato in Romania, V32, P21
   Parsons DJ, 2019, AGR SYST, V173, P119, DOI 10.1016/j.agsy.2019.02.015
   Perju N., 2010, Lucrari Științifice, Universitatea de Stiinte Agricole Și Medicina Veterinara "Ion Ionescu de la Brad" Iași, Seria Agronomie, V53, P413
   Raymundo R, 2018, EUR J AGRON, V100, P87, DOI 10.1016/j.eja.2017.11.008
   Salan MSA, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0277933
   Selyaninov G. T., 1958, Droughts in the USSR, their nature, recurrences and impact on crops yields, P5
   Spinoni J, 2020, J CLIMATE, V33, P3635, DOI 10.1175/JCLI-D-19-0084.1
   Spinoni J, 2019, J HYDROL-REG STUD, V22, DOI 10.1016/j.ejrh.2019.100593
   Stefan F. M., 2023, Potato Production Worldwide, P381
   Sterie CM, 2022, SCI PAP-SER MANAG EC, V22, P705
   Sur CY, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12091359
   Szocs E., 2009, Problemy Rolnictwa Swiatowego, V6, P74
   Torok E., 2018, Magazine Potato in Romania, V27, P14
   Ullah S, 2022, ATMOS RES, V268, DOI 10.1016/j.atmosres.2021.105998
   Vladut AS, 2017, HRVAT GEORGR GLAS, V79, P5, DOI 10.21861/HGG.2017.79.02.01
   Von Gehren P, 2023, CLIMATE, V11, DOI 10.3390/cli11090189
   Yoon DH, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12030444
   Zapucioiu L. F., 2023, Western Balkan Journal of Agricultural Economics and Rural Development (WBJAERD, V5, P15
   Zhao C, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac9242
   Zhong LH, 2020, BIG EARTH DATA, V4, P191, DOI 10.1080/20964471.2019.1710383
   Zhu YQ, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-91273-5
NR 53
TC 0
Z9 0
U1 1
U2 1
PU UNIV AGRONOMIC SCIENCES & VETERINARY MEDICINE BUCHAREST - USAMV
PI BUCHAREST
PA 59 MARASTI BOULEVARD, DISTRICT 1, BUCHAREST, 011464, ROMANIA
SN 2285-5785
EI 2285-5807
J9 SCI PAP-SER A-AGRON
JI Sci. Pap.-Ser. A-Agron.
PY 2024
VL 68
IS 1
BP 675
EP 682
PG 8
WC Agronomy
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA E9F3B
UT WOS:001305979800085
DA 2025-01-10
ER

PT J
AU Savelli, A
   Schapendonk, F
   Gupta, TD
   Pacillo, G
   Läderach, P
AF Savelli, Adam
   Schapendonk, Frans
   Gupta, Tanaya Dutta
   Pacillo, Grazia
   Laderach, Peter
TI Climate change, mobility and violent conflict: a typology of interlinked
   pathways
SO INTERNATIONAL DEVELOPMENT PLANNING REVIEW
LA English
DT Article
DE climate change; climate adaptation; climate security; climate migration;
   climate-related mobility; environmental peacebuilding; displacement;
   immobility; migration; peacebuilding
ID ENVIRONMENTAL-CHANGE; FORCED MIGRATION; SPATIAL CONCENTRATION; LOCAL
   INSTITUTIONS; EAST-AFRICA; VARIABILITY; COMMUNITIES; THRESHOLDS;
   LIVESTOCK; SECURITY
AB Despite increased attention toward the links between climate, human mobility and conflict, the pathways through which resulting human insecurity may lead to violence are poorly understood. Although there is no inherent link between climate-related mobility and conflict, a coherent understanding of the triple nexus is needed to address the impact of intersecting crises on millions of lives and livelihoods. To achieve this, an in-depth literature review is employed to identify and explore four pathways that connect climate, human mobility and violent conflict: conflict as a result of climate-related disaster displacement, conflict as a result of scarcity-related mobility, conflict as a result of abundance-related migration, and conflict as a result of pre-existing tensions and migratory patterns interacting with climate change and/ or variability. Finally, recommendations are made to guide research, policies and programming aiming to sever the link between climate-related mobility and conflict, where it may exist.
C1 [Savelli, Adam] Vien Truyen Nong Nghiep Pham Van Dong Co Nhue, Alliance Biovers Int & CIAT, Asia Hub, CGIAR FOCUS Climate Secur, Hanoi 122000, Vietnam.
   [Schapendonk, Frans; Pacillo, Grazia; Laderach, Peter] Alliance Biovers Int & CIAT, CGIAR FOCUS Climate Secur, Via S Domenico 1, I-00153 Rome, Italy.
   [Gupta, Tanaya Dutta] Alliance Biovers Int & CIAT Africa Hub, CGIAR FOCUS Climate Secur, ICIPE Complex, Nairobi 00100, Kenya.
C3 International Centre of Insect Physiology & Ecology (ICIPE)
RP Savelli, A (corresponding author), Vien Truyen Nong Nghiep Pham Van Dong Co Nhue, Alliance Biovers Int & CIAT, Asia Hub, CGIAR FOCUS Climate Secur, Hanoi 122000, Vietnam.
EM a.savelli@cgiar.org; f.schapendonk@cgiar.org; T.DuttaGupta@cgiar.org;
   g.pacillo@cgiar.org; p.laderach@cgiar.org
RI Pacillo, Grazia/IQR-8793-2023
OI Dutta Gupta, Tanaya/0000-0001-5386-8223; Savelli,
   Adam/0000-0003-3816-8979
FU CGIAR Initiative on Climate Resilience, ClimBeR; CGIAR Initiative on
   Fragility, Conflict, and Migration; CGIAR Trust Fund
FX We would like to thank Carolina Sarzana, Giulia Caroli, Duffy Mairead,
   Alan de Brauw, and Philip Thornton, who contributed to a working paper
   that served as the basis for this article; Stephanie Jaquet and Robert
   McLeman, who reviewed this earlier work; and Joseph Savelli and Katya
   Kuzi, who designed the figures. The authors also thank two anonymous
   reviewers and the editors of International Develop- ment Planning Review
   for their thoughtful feedback throughout the review process. This work
   was carried out with support from the CGIAR Initiative on Climate
   Resilience, ClimBeR, and the CGIAR Initiative on Fragility, Conflict,
   and Migration. We would like to thank all funders who supported this
   research through their contributions to the CGIAR Trust Fund.
CR Abel GJ, 2019, GLOBAL ENVIRON CHANG, V54, P239, DOI 10.1016/j.gloenvcha.2018.12.003
   Abrahams D, 2020, WORLD DEV, V132, DOI 10.1016/j.worlddev.2020.104998
   Adams C, 2018, NAT CLIM CHANGE, V8, P200, DOI 10.1038/s41558-018-0068-2
   Adams H, 2019, ENVIRON SCI POLICY, V93, P129, DOI 10.1016/j.envsci.2018.10.015
   Adano WR, 2012, J PEACE RES, V49, P65, DOI 10.1177/0022343311427344
   Adger WN, 2021, J PEACE RES, V58, P50, DOI 10.1177/0022343320973717
   Alwishewa H., 2022, Transnational Legal Theory, V12, P527
   [Anonymous], 2019, GLOBAL REPORT INTERN
   [Anonymous], 2013, Gender and climate change: overview of linkages between gender and climate change' (Report)
   [Anonymous], 2009, Migration, Environment and Climate Change
   [Anonymous], 2007, Coping with Crisis Working Paper Series
   [Anonymous], 2021, Displacement Tracking Matrix report from the International Organization for Migration (IOM)
   [Anonymous], 2018, The Oxford Handbook of Women and the Economy
   Babatunde AO, 2020, J CONTEMP AFR STUD, V38, P274, DOI 10.1080/02589001.2020.1730310
   Bacud E.S., 2021, Migr. Dev, V10, P442, DOI DOI 10.1080/21632324.2019.1679962
   Barcus HR, 2018, POPUL SPACE PLACE, V24, DOI 10.1002/psp.2148
   Barnett J, 2007, POLIT GEOGR, V26, P639, DOI 10.1016/j.polgeo.2007.03.003
   Benoot C, 2016, BMC MED RES METHODOL, V16, DOI 10.1186/s12874-016-0114-6
   Black R, 2011, GLOBAL ENVIRON CHANG, V21, pS3, DOI 10.1016/j.gloenvcha.2011.10.001
   Boas I, 2019, NAT CLIM CHANGE, V9, P901, DOI 10.1038/s41558-019-0633-3
   Bohnet H, 2021, CIV WARS, V23, P493, DOI 10.1080/13698249.2021.1963586
   Bohra-Mishra P, 2011, DEMOGRAPHY, V48, P401, DOI 10.1007/s13524-011-0016-5
   Borderon M, 2019, DEMOGR RES, V41, P491, DOI 10.4054/DemRes.2019.41.18
   Bowlsby D, 2020, BRIT J POLIT SCI, V50, P1405, DOI 10.1017/S0007123418000443
   Bradbury Mark., 2006, Local Peace Processes in Sudan: A Baseline Study
   Brown O., 2007, Climate Change and Forced Migration: Observations
   Brzoska M., 2016, Migration and Development, V5, P190, DOI DOI 10.1080/21632324.2015.1022973
   Buhaug H, 2014, CLIMATIC CHANGE, V127, P391, DOI 10.1007/s10584-014-1266-1
   Burma Human Rights Network, 2022, We also have dreams: ongoing safety and quality of life issues for Rohingya refugees in Bangladesh', (report)
   Burrows K, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13040443
   Camey IC, 2020, GENDER BASED VIOLENC, DOI DOI 10.2305/IUCN.CH.2020.03
   Cattaneo C, 2017, CESIFO ECON STUD, V63, P500, DOI 10.1093/cesifo/ifx010
   Chindarkar N, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/2/025601
   Cisse GR, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   Clemens MA, 2021, J URBAN ECON, V124, DOI 10.1016/j.jue.2021.103355
   Cundill G, 2021, GLOBAL ENVIRON CHANG, V69, DOI 10.1016/j.gloenvcha.2021.102315
   Curtis KJ, 2015, DEMOGRAPHY, V52, P1269, DOI 10.1007/s13524-015-0400-7
   Czaika M, 2013, POPUL DEV REV, V39, P487, DOI 10.1111/j.1728-4457.2013.00613.x
   Davenport CA, 2003, INT INTERACT, V29, P27, DOI 10.1080/03050620304597
   de Haas H, 2021, COMP MIGR STUD, V9, DOI 10.1186/s40878-020-00210-4
   de Sherbinin A, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.882343
   Detges A., 2022, A Conceptual Model of Climate Change and Human Mobility Interactions
   DeWaard J, 2016, POPUL ENVIRON, V37, P449, DOI 10.1007/s11111-015-0250-7
   Dharia S. P., 2019, PhD thesis, DOI [10.32469/10355/72212, DOI 10.32469/10355/72212]
   Djoudi H, 2011, INT FOREST REV, V13, P123, DOI 10.1505/146554811797406606
   Eaton D, 2008, AFR AFFAIRS, V107, P89, DOI 10.1093/afraf/adm085
   Fatih E., 2007, Discussion paper
   Fiddian-Qasmiyeh E., 2016, Forced Migration Review (FMR Online)
   Fjelde H, 2015, WORLD DEV, V67, P525, DOI 10.1016/j.worlddev.2014.10.032
   Foresight: Migration and Global Environmental Change, 2011, Migration and Global Environmental Change: Final Project Report
   Freeman L, 2017, J ENVIRON DEV, V26, P351, DOI 10.1177/1070496517727325
   Ghimire R, 2015, WORLD DEV, V66, P614, DOI 10.1016/j.worlddev.2014.09.021
   Gleditsch NP, 2012, J PEACE RES, V49, P3, DOI 10.1177/0022343311431288
   Hegazi F., 2021, SIPRI Policy Paper 60
   Hendrix CS, 2017, GLOBAL ENVIRON CHANG, V43, P137, DOI 10.1016/j.gloenvcha.2017.01.009
   Holland AC, 2020, INT ORGAN, V74, P560, DOI 10.1017/S002081832000017X
   Hsiang SM, 2013, SCIENCE, V341, P1212, DOI 10.1126/science.1235367
   Human Rights Watch, 2020, STOPP KILL ROB
   Ide T, 2020, ENVIRONMENTAL CONFLICTS, MIGRATION AND GOVERNANCE, P17
   Ide T, 2015, GLOBAL ENVIRON CHANG, V33, P61, DOI 10.1016/j.gloenvcha.2015.04.008
   Internal Displacement Monitoring Center, 2022, Global report on internal displacement 2022
   Jacobson C, 2019, REG ENVIRON CHANGE, V19, P101, DOI 10.1007/s10113-018-1387-6
   Jalali Merise, 2013, Migration Information Source
   Joarder MAM, 2013, GLOBAL ENVIRON CHANG, V23, P1511, DOI 10.1016/j.gloenvcha.2013.07.026
   Kennedy W. G., 2010, P 3 WORLD C SOC SIM
   Koubi V, 2021, J PEACE RES, V58, P18, DOI 10.1177/0022343320972153
   Koubi V, 2019, ANNU REV POLIT SCI, V22, P343, DOI 10.1146/annurev-polisci-050317-070830
   Kratli S., 2001, Understanding and managing pastoral conflict in Kenya: a literature review'
   Lama P, 2021, CLIM DEV, V13, P326, DOI 10.1080/17565529.2020.1772708
   Linke AM, 2015, GLOBAL ENVIRON CHANG, V34, P35, DOI 10.1016/j.gloenvcha.2015.04.007
   Mach KJ, 2019, NATURE, V571, P193, DOI 10.1038/s41586-019-1300-6
   Marc Alexandre., 2015, CHALLENGE STABILITY
   McCabe T., 2004, CATTLE BRING US OUR
   McLeman R., 2011, IOM Migration Research Series
   McLeman R., 2021, Climatic Change, V165
   McLeman R, 2018, POPUL ENVIRON, V39, P319, DOI 10.1007/s11111-017-0290-2
   Melander E, 2007, CIV WARS, V9, P156, DOI 10.1080/13698240701207310
   Michel D., 2022, Environment of Peace: Security in a New Era of Risk
   Mitchell SM, 2021, INT STUD REV, V23, P580, DOI 10.1093/isr/viaa058
   Mixed Migration Centre, 2022, MMC briefing paper
   Monsalve C., 2020, World Bank Blogs: Development and a Changing Climate
   Moore WH, 2004, J CONFLICT RESOLUT, V48, P723, DOI 10.1177/0022002704267767
   Naude W., 2009, WIDER Working Paper 85/2008
   O'Loughlin J, 2012, P NATL ACAD SCI USA, V109, P18344, DOI 10.1073/pnas.1205130109
   Owen PD, 2020, INT REV APPL ECON, V34, P400, DOI 10.1080/02692171.2020.1749242
   Pahl-Wostl C, 2013, ECOL SOC, V18, DOI 10.5751/ES-05554-180233
   Palinkas LA, 2015, ADM POLICY MENT HLTH, V42, P533, DOI 10.1007/s10488-013-0528-y
   Pamp O, 2018, J PEACE RES, V55, P430, DOI 10.1177/0022343317740417
   Raineri L., 2021, The Routledge Handbook of Smuggling, P313
   Raleigh C, 2007, POLIT GEOGR, V26, P674, DOI 10.1016/j.polgeo.2007.06.005
   Raleigh C, 2012, J PEACE RES, V49, P51, DOI 10.1177/0022343311427754
   Reuveny R, 2007, POLIT GEOGR, V26, P656, DOI 10.1016/j.polgeo.2007.05.001
   Risi L. H., 2016, Office of Conflict Management and Mitigation Discussion Paper
   Rowhani P, 2011, CLIMATIC CHANGE, V105, P207, DOI 10.1007/s10584-010-9884-8
   Salehyan I, 2014, GLOBAL ENVIRON CHANG, V28, P239, DOI 10.1016/j.gloenvcha.2014.07.007
   Sanchez G., 2020, Robert Schuman Centre., V20, P1
   Scheffran J, 2012, SCIENCE, V336, P869, DOI 10.1126/science.1221339
   Schilling J., 2014, Conflictsensitive adaptation to climate change in Africa, P241
   Schilling J, 2012, PASTORALISM, V2, DOI 10.1186/2041-7136-2-25
   Schon J., 2021, Migration Information Source
   Selby J, 2014, GLOBAL ENVIRON CHANG, V29, P360, DOI 10.1016/j.gloenvcha.2014.01.008
   Siddiqi A, 2022, GEOGR COMPASS, V16, DOI 10.1111/gec3.12622
   Sultana F, 2022, POLIT GEOGR, V99, DOI 10.1016/j.polgeo.2022.102638
   Thalheimer L, 2021, FRONT CLIM, V3, DOI 10.3389/fclim.2021.692114
   UN IASC (United Nations Inter-Agency Standing Committee), 2006, Guidelines: protecting persons affected by natural disasters. Human rights and natural disasters', (Operational guidelines)
   van Baalen S, 2018, INT STUD REV, V20, P547, DOI 10.1093/isr/vix043
   Vesco P, 2021, J PEACE RES, V58, P98, DOI 10.1177/0022343320971020
   Vinke K, 2022, POPUL ENVIRON, V43, P319, DOI 10.1007/s11111-021-00393-7
   von Uexkull N, 2021, J PEACE RES, V58, P3, DOI 10.1177/0022343320984210
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   WITSENBURG K., 2007, Conflicts over land water in Africa, P215
   Witsenburg KM, 2009, CIV WARS, V11, P514, DOI 10.1080/13698240903403915
   Yagenova SimonaV., 2009, SOCIALISM DEMOCRACY, V23, P157, DOI DOI 10.1080/08854300903208795
   Yanda Pius., 2011, Climate Change and Conflict: Conflict-Sensitive Climate Change Adaptation in Africa
NR 114
TC 2
Z9 2
U1 3
U2 9
PU LIVERPOOL UNIV PRESS
PI LIVERPOOL
PA 4 CAMBRIDGE ST, LIVERPOOL L69 7ZU, ENGLAND
SN 1474-6743
EI 1478-3401
J9 INT DEV PLANN REV
JI Int. Dev. Plan. Rev.
PD OCT
PY 2023
VL 45
IS 4
BP 403
EP 436
DI 10.3828/idpr.2023.2
PG 34
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA U1WL2
UT WOS:001082772700001
DA 2025-01-10
ER

PT J
AU Li, YT
   Li, ZL
   Wu, H
   Zhou, CH
   Liu, XY
   Leng, P
   Yang, P
   Wu, WB
   Tang, RL
   Shang, GF
   Ma, LL
AF Li, Yitao
   Li, Zhao-Liang
   Wu, Hua
   Zhou, Chenghu
   Liu, Xiangyang
   Leng, Pei
   Yang, Peng
   Wu, Wenbin
   Tang, Ronglin
   Shang, Guo-Fei
   Ma, Lingling
TI Biophysical impacts of earth greening can substantially mitigate
   regional land surface temperature warming
SO NATURE COMMUNICATIONS
LA English
DT Article
ID CLIMATE-CHANGE; COVER CHANGE; EVAPOTRANSPIRATION; AFFORESTATION;
   DEFORESTATION; ATTRIBUTION; MANAGEMENT; FEEDBACKS; FORESTS; ALBEDO
AB Vegetation change can alter surface energy balance and subsequently affect the local climate. This biophysical impact has been well studied for forestation cases, but the sign and magnitude for persistent earth greening remain controversial. Based on long-term remote sensing observations, we quantify the unidirectional impact of vegetation greening on radiometric surface temperature over 2001-2018. Here, we show a global negative temperature response with large spatial and seasonal variability. Snow cover, vegetation greenness, and shortwave radiation are the major driving factors of the temperature sensitivity by regulating the relative dominance of radiative and non radiative processes. Combined with the observed greening trend, we find a global cooling of -0.018 K/decade, which slows down 4.6 +/- 3.2% of the global warming. Regionally, this cooling effect can offset 39.4 +/- 13.9% and 19.0 +/- 8.2% of the corresponding warming in India and China. These results highlight the necessity of considering this vegetation-related biophysical climate effect when informing local climate adaptation strategies.
C1 [Li, Yitao; Wu, Hua; Tang, Ronglin] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
   [Li, Yitao; Wu, Hua] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Li, Zhao-Liang; Liu, Xiangyang; Leng, Pei; Yang, Peng; Wu, Wenbin] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Beijing 100081, Peoples R China.
   [Zhou, Chenghu] Guangdong Acad Sci, Guangzhou Inst Geog, Ctr Ocean Remote Sensing Southern Marine Sci & Eng, Guangdong Lab Guangzhou, Guangzhou 510070, Peoples R China.
   [Shang, Guo-Fei] Hebei GEO Univ, Sch Land Sci & Space Planning, Shijiazhuang 050031, Peoples R China.
   [Ma, Lingling] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Quantitat Remote Sensing Informat Technol, Beijing 100094, 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; Chinese Academy of Agricultural
   Sciences; Institute of Agricultural Resources & Regional Planning, CAAS;
   Ministry of Agriculture & Rural Affairs; Guangdong Academy of Sciences;
   Guangzhou Institute of Geography, Guangdong Academy of Sciences; Hebei
   GEO University; Chinese Academy of Sciences; Aerospace Information
   Research Institute, CAS
RP Li, ZL (corresponding author), Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Beijing 100081, Peoples R China.
EM lizhaoliang@caas.cn
RI LIU, Xiangyang/AAI-4872-2020; Li, Zhaoliang/AFV-2619-2022; Ma,
   Lingling/KPA-5397-2024
OI Li, Yitao/0000-0001-7496-2956; Liu, Xiangyang/0000-0002-0320-6579; Zhou,
   Chenghu/0000-0003-3331-2302
FU National Natural Science Foundation of China; Strategic Priority
   Research Program of Chinese Academy of Sciences;  [41871267]; 
   [XDA28050200]
FX AcknowledgementsThis work is supported by the National Natural Science
   Foundation of China (Grant No. 41921001, Z.L., P.Y., and W.W.), the
   Strategic Priority Research Program of Chinese Academy of Sciences
   (Grant No. XDA28050200, H.W.) and the National Natural Science
   Foundation of China (Grant No. 41871267, H.W.).
CR Abera TA, 2019, REMOTE SENS ENVIRON, V221, P210, DOI 10.1016/j.rse.2018.11.024
   Alkama R, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28305-9
   Alkama R, 2016, SCIENCE, V351, P600, DOI 10.1126/science.aac8083
   Betts RA, 2000, NATURE, V408, P187, DOI 10.1038/35041545
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   Bright RM, 2017, NAT CLIM CHANGE, V7, P296, DOI [10.1038/nclimate3250, 10.1038/NCLIMATE3250]
   Buitenwerf R, 2018, GLOBAL CHANGE BIOL, V24, P5789, DOI 10.1111/gcb.14451
   Canadell JG, 2008, SCIENCE, V320, P1456, DOI 10.1126/science.1155458
   Chen C, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abb1981
   Chen C, 2019, NAT SUSTAIN, V2, P122, DOI 10.1038/s41893-019-0220-7
   Chen JM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12257-8
   Chen L, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-019-14017-0
   Ding F, 2020, J ATMOS OCEAN TECH, V37, P1027, DOI 10.1175/JTECH-D-19-0129.1
   Duveiller G, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24551-5
   Duveiller G, 2018, EARTH SYST SCI DATA, V10, P1265, DOI 10.5194/essd-10-1265-2018
   Duveiller G, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02810-8
   Essery R, 2013, GEOPHYS RES LETT, V40, P5521, DOI 10.1002/grl.51008
   Forzieri G, 2020, NAT CLIM CHANGE, V10, P356, DOI 10.1038/s41558-020-0717-0
   Forzieri G, 2017, SCIENCE, V356, P1140, DOI 10.1126/science.aal1727
   Friedl MA, 2010, REMOTE SENS ENVIRON, V114, P168, DOI 10.1016/j.rse.2009.08.016
   Gao BB, 2022, SCI BULL, V67, P232, DOI 10.1016/j.scib.2021.10.002
   Ge J, 2019, J CLIMATE, V32, P4445, DOI 10.1175/JCLI-D-18-0772.1
   Huang D, 2008, REMOTE SENS ENVIRON, V112, P35, DOI 10.1016/j.rse.2006.05.026
   Jiang CY, 2017, GLOBAL CHANGE BIOL, V23, P4133, DOI 10.1111/gcb.13787
   Juang JY, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL031296
   Jung M, 2010, NATURE, V467, P951, DOI 10.1038/nature09396
   Kottek M., 2006, Meteor. Z., V15, P259, DOI [10.1127/0941-2948/2006/0130, DOI 10.1127/0941-2948/2006/0110]
   Lawrence D, 2022, FRONT FOR GLOB CHANG, V5, DOI 10.3389/ffgc.2022.756115
   Lee X, 2011, NATURE, V479, P384, DOI 10.1038/nature10588
   Li QP, 2018, J GEOPHYS RES-ATMOS, V123, P124, DOI 10.1002/2017JD027010
   Li Y, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7603
   Li Y, 2020, NATL SCI REV, V7, P897, DOI 10.1093/nsr/nwz132
   Lian X., 2018, SCIENCE, V360, P1
   Lian X, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31671-z
   Liao WL, 2018, J GEOPHYS RES-BIOGEO, V123, P1572, DOI 10.1029/2018JG004401
   Liu Y, 2012, J GEOPHYS RES-BIOGEO, V117, DOI 10.1029/2012JG002084
   Liu ZH, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08237-z
   Liu ZH, 2018, GEOPHYS RES LETT, V45, P6485, DOI 10.1029/2018GL078283
   Luyssaert S, 2014, NAT CLIM CHANGE, V4, P389, DOI [10.1038/nclimate2196, 10.1038/NCLIMATE2196]
   Novick KA, 2020, J GEOPHYS RES-BIOGEO, V125, DOI 10.1029/2019JG005543
   Peng SS, 2014, P NATL ACAD SCI USA, V111, P2915, DOI 10.1073/pnas.1315126111
   Piao SL, 2020, NAT REV EARTH ENV, V1, P14, DOI 10.1038/s43017-019-0001-x
   Prevedello JA, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0213368
   Rigden AJ, 2017, GEOPHYS RES LETT, V44, P6814, DOI 10.1002/2017GL073811
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Shen MG, 2015, P NATL ACAD SCI USA, V112, P9299, DOI 10.1073/pnas.1504418112
   Wang JM, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-27520-0
   Wang LM, 2020, GLOBAL PLANET CHANGE, V193, DOI 10.1016/j.gloplacha.2020.103268
   Wang LM, 2018, J GEOPHYS RES-ATMOS, V123, P948, DOI 10.1002/2017JD027522
   Wang YR, 2022, REMOTE SENS ENVIRON, V280, DOI 10.1016/j.rse.2022.113181
   Winckler J, 2019, J GEOPHYS RES-ATMOS, V124, P8605, DOI 10.1029/2018JD030127
   Winckler J, 2019, EARTH SYST DYNAM, V10, P473, DOI 10.5194/esd-10-473-2019
   Windisch MG, 2021, NAT CLIM CHANGE, V11, P867, DOI 10.1038/s41558-021-01161-z
   Xiao ZQ, 2014, IEEE T GEOSCI REMOTE, V52, P209, DOI 10.1109/TGRS.2013.2237780
   Xing ZF, 2021, ISPRS J PHOTOGRAMM, V178, P51, DOI 10.1016/j.isprsjprs.2021.05.017
   Xu R, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28161-7
   Yu LX, 2020, AGR FOREST METEOROL, V295, DOI 10.1016/j.agrformet.2020.108197
   Zeng ZZ, 2018, CURR OPIN ENV SUST, V33, P9, DOI 10.1016/j.cosust.2018.03.001
   Zeng ZZ, 2017, NAT CLIM CHANGE, V7, P432, DOI [10.1038/NCLIMATE3299, 10.1038/nclimate3299]
   Zhao KG, 2014, ECOL MONOGR, V84, P329, DOI 10.1890/12-1705.1
   Zhou DC, 2021, REMOTE SENS ENVIRON, V264, DOI 10.1016/j.rse.2021.112585
   Zhu ZC, 2016, NAT CLIM CHANGE, V6, P791, DOI [10.1038/NCLIMATE3004, 10.1038/nclimate3004]
   Zhu ZC, 2013, REMOTE SENS-BASEL, V5, P927, DOI 10.3390/rs5020927
NR 63
TC 82
Z9 90
U1 67
U2 258
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD JAN 9
PY 2023
VL 14
IS 1
AR 121
DI 10.1038/s41467-023-35799-4
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 8I7PI
UT WOS:000921922000012
PM 36624102
OA Green Published, gold
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Oyedotun, TDT
   Burningham, H
AF Oyedotun, Temitope D. Timothy
   Burningham, Helene
TI The need for data integration to address the challenges of climate
   change on the Guyana coast
SO GEOGRAPHY AND SUSTAINABILITY
LA English
DT Article
DE Climate adaptation; Climate mitigation; Data needs; Data integration;
   Web-based platform
ID CHANGE ADAPTATION; REDD PLUS; VULNERABILITY; CARBON; DELTA
AB Guyana's capacity to address the impacts of climate change on its coastal environment requires the ability to monitor, quantify and understand coastal change over short-, medium- and long- term. Understanding the drivers of change in coastal and marine environment can be achieved through the accurate measurement and critical analyses of morphologies, flows, processes and responses. This manuscript presents a strategy developed to create a central resource, database and web-based platform to integrate data and information on the drivers and the changes within Guyana coastal and marine environment. The strategy involves four complimentary work packages including data collection, development of a platform for data integration, application of the data for coastal change analyses and consultation with stakeholders. The last aims to assess the role of the integrated data systems to support strategic governance and sustainable decision-making. It is hoped that the output of this strategy would support the country's climate-focused agencies, organisations, decision-makers, and researchers in their tasks and endeavours.
C1 [Oyedotun, Temitope D. Timothy] Univ Guyana, Fac Earth & Environm Sci, Dept Geog, POB 10 1110,Turkeyen Campus, Georgetown, Guyana.
   [Burningham, Helene] UCL, Dept Geog, Coastal & Estuarine Res Unit CERU, Gower St, London WC1E 6BT, England.
C3 University of London; University College London
RP Oyedotun, TDT (corresponding author), Univ Guyana, Fac Earth & Environm Sci, Dept Geog, POB 10 1110,Turkeyen Campus, Georgetown, Guyana.; Burningham, H (corresponding author), UCL, Dept Geog, Coastal & Estuarine Res Unit CERU, Gower St, London WC1E 6BT, England.
EM temitope.oyedotun@uog.edu.gy; h.burningham@ucl.ac.uk
RI Oyedotun, Temitope/C-2052-2015
OI Burningham, Helene/0000-0002-2897-2608
CR Almeida LP, 2021, ENVIRON MODELL SOFTW, V140, DOI 10.1016/j.envsoft.2021.105033
   [Anonymous], 2013, J CARIBB INT RELAT
   Anthony EJ, 2021, WATER-SUI, V13, DOI 10.3390/w13101371
   Anthony EJ, 2012, ECOL ENG, V47, P268, DOI 10.1016/j.ecoleng.2012.07.005
   Anusha N, 2020, EGYPT J REMOTE SENS, V23, P207, DOI 10.1016/j.ejrs.2019.01.001
   Archer D, 2014, CLIM DEV, V6, P345, DOI 10.1080/17565529.2014.918868
   Ashmore P, 2015, GEOMORPHOLOGY, V251, P149, DOI 10.1016/j.geomorph.2015.02.020
   Baills A, 2020, OCEAN COAST MANAGE, V185, DOI 10.1016/j.ocecoaman.2019.105059
   Bassett ThomasE., 2013, Water, Water Everywhere: Sea Level Rise and Land Use Planning in Barbados, Trinidad and Tobago, Guyana, and Para
   Becerra M.J., 2021, PRACTICES REGIONAL S, P69
   Bellfield H, 2015, FORESTS, V6, P133, DOI 10.3390/f6010133
   Berardi A., 2013, ECHOGEO, V24, P13411
   Bholanath P., 2013, CAPACITY DEV NATL FO, P5
   Bishop ML, 2012, J DEV STUD, V48, P1536, DOI 10.1080/00220388.2012.693166
   Brodie J, 2012, TRENDS ECOL EVOL, V27, P145, DOI 10.1016/j.tree.2011.09.008
   Bulkeley H, 2012, ENVIRON PLANN C, V30, P591, DOI 10.1068/c11126
   Busayo ET, 2021, OCEAN COAST MANAGE, V203, DOI 10.1016/j.ocecoaman.2020.105454
   Butt N, 2015, FOREST ECOL MANAG, V338, P191, DOI 10.1016/j.foreco.2014.11.014
   Bynoe P., 2014, TRANSITIONING GREEN, P77
   Bynoe P., 2014, CARIBBEAN GEOGRAPHY, V19, P89
   Chaffin BC, 2018, GEOMORPHOLOGY, V305, P221, DOI 10.1016/j.geomorph.2017.09.038
   Chaumillon E, 2017, EARTH-SCI REV, V165, P151, DOI 10.1016/j.earscirev.2016.12.005
   Dawson T, 2020, P NATL ACAD SCI USA, V117, P8280, DOI 10.1073/pnas.1912246117
   de Lima LT, 2021, REG STUD MAR SCI, V48, DOI 10.1016/j.rsma.2021.102025
   De Mondonca A, 2015, 30 W IND AGR EC C CA
   Eastin J, 2018, WORLD DEV, V107, P289, DOI 10.1016/j.worlddev.2018.02.021
   Elkafrawy SB, 2021, EGYPT J REMOTE SENS, V24, P247, DOI 10.1016/j.ejrs.2020.01.002
   Garschagen M, 2015, CLIMATIC CHANGE, V133, P37, DOI 10.1007/s10584-013-0812-6
   Goh A.H.X., 2012, A literature review of the gender-differentiated impacts of climate change on women's and men's assets and well-being in developing countries, P1, DOI DOI 10.2499/CAPRIWP106
   Government of Guyana, 2012, GUYAN 2 NAT COMM UNF
   Government of Guyana, 2021, GUYAN 3 NAT COMM UNF
   Henders S., 2013, GUYANA NORWAY REDD A
   Hetz K, 2016, REG ENVIRON CHANGE, V16, P1171, DOI 10.1007/s10113-015-0840-z
   Hickey C, 2012, CLIM DEV, V4, P66, DOI 10.1080/17565529.2012.661036
   Huikkola T, 2022, TECHNOVATION, V118, DOI 10.1016/j.technovation.2021.102382
   Johnson-Bhola L., 2016, CLIMATE CHANGE FOOD, P82
   Johnson-Bhola L., 2018, COASTAL DEFENCE ROLE, VSpring
   Kalamandeen M, 2013, CONSERVATION BIOLOGY: VOICES FROM THE TROPICS, P97
   La Rose J., 2014, AP PROGRAMME INDIGEN
   Labat D, 2012, HYDROLOG SCI J, V57, P1081, DOI 10.1080/02626667.2012.695074
   Laing T, 2015, IMPACTS INT REDD FIN
   Laing T, 2015, RESOUR POLICY, V46, P250, DOI 10.1016/j.resourpol.2015.10.008
   Lane D, 2013, SUSTAIN SCI, V8, P469, DOI 10.1007/s11625-013-0213-9
   Leal W, 2019, SCI TOTAL ENVIRON, V692, P1175, DOI 10.1016/j.scitotenv.2019.07.227
   Losada IJ, 2019, OCEAN COAST MANAGE, V182, DOI 10.1016/j.ocecoaman.2019.104983
   Lowe S, 2014, ENVIRONMENT, V56, P4, DOI 10.1080/00139157.2014.901834
   Luijendijk A, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24630-6
   Mahdu O., 2019, The Impacts of Climate Change on Rice Production and Small Farmers Adaptation: A Case of Guyana
   Manning M, 2015, REG ENVIRON CHANGE, V15, P581, DOI 10.1007/s10113-014-0673-1
   Mao YJ, 2021, ISPRS J PHOTOGRAMM, V181, P385, DOI 10.1016/j.isprsjprs.2021.09.021
   Marzouk M, 2021, J CLEAN PROD, V290, DOI 10.1016/j.jclepro.2020.125723
   McLaughlin S, 2010, ENVIRON HAZARDS-UK, V9, P233, DOI 10.3763/ehaz.2010.0052
   Mentaschi L, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-30904-w
   Ministry of Agriculture, 2016, NAT STRAT AGR GUYAN
   Misir V, 2013, WATER RESOUR MANAG, V27, P4611, DOI 10.1007/s11269-013-0430-0
   Montaño J, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-59018-y
   Morelli A, 2021, OCEAN COAST MANAGE, V214, DOI 10.1016/j.ocecoaman.2021.105867
   Murakami H, 2017, NAT CLIM CHANGE, V7, P885, DOI 10.1038/s41558-017-0008-6
   Mycoo MA, 2014, URBAN CLIM, V9, P134, DOI 10.1016/j.uclim.2014.07.009
   Nerem RS, 2018, P NATL ACAD SCI USA, V115, P2022, DOI 10.1073/pnas.1717312115
   Nicholls R.J., 1995, GEOJOURNAL, V37, P369, DOI DOI 10.1007/BF00814018
   Nicholls RJ, 2011, OCEANOGRAPHY, V24, P144, DOI 10.5670/oceanog.2011.34
   Nicolodi JL, 2021, MAR POLICY, V128, DOI 10.1016/j.marpol.2021.104470
   Nielsen J., 1993, Usability Engineering: AP PROFESSIONAL
   Nowak MM, 2021, ECOL INDIC, V131, DOI 10.1016/j.ecolind.2021.108131
   Office of Climate Change, 2016, TECHN NEEDS ASS AD F
   Office of Climate Change, 2016, DRAFT CLIM RES STRAT
   Office of Climate Change, 2015, NAT AD PLAN GUYAN JA
   Oyedotun Temitope D. Timothy, 2019, Interdisciplinary Environmental Review, V20, P7, DOI 10.1504/IER.2019.098348
   Oyedotun TDT, 2016, ENVIRON PROCESS, V3, P939, DOI 10.1007/s40710-016-0189-4
   Oyedotun TDT, 2017, ENVIRON PROCESS, V4, P273, DOI 10.1007/s40710-017-0213-3
   Ozanne CMP, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0102952
   Pardo-Pascual JE, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10020326
   Pereira R, 2014, J S AM EARTH SCI, V52, P108, DOI 10.1016/j.jsames.2014.02.005
   Reymondin L., 2014, IDBTN632
   Robert S, 2021, LAND USE POLICY, V104, DOI 10.1016/j.landusepol.2021.105354
   Rogers K, 2016, J COAST CONSERV, V20, P127, DOI 10.1007/s11852-016-0424-1
   Sabogal D, 2015, SCALING COMMUNITY BA
   Saleh T.D, 2020, THESIS U TORONTO TOR
   Saunders-Hastings P., 2018, J HLTH MED SCI, V1, P42
   Scott D, 2012, J SUSTAIN TOUR, V20, P883, DOI 10.1080/09669582.2012.699063
   Spencer B, 2017, J ENVIRON PLANN MAN, V60, P647, DOI 10.1080/09640568.2016.1168287
   Stripple J, 2014, GOVERNING THE CLIMATE: NEW APPROACHES TO RATIONALITY, POWER AND POLITICS, P1
   Taylor S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035565
   Theiler E., 2017, US GEOL SURV OPEN FI, V1, P1278
   Vaughn S., 2013, CULT ANTHROPOL, V32, P242
   Vila P., 2015, BARRIERS EFFECTIVE A, P50
   Vos K, 2019, ENVIRON MODELL SOFTW, V122, DOI 10.1016/j.envsoft.2019.104528
   Vousdoukas MI, 2020, NAT CLIM CHANGE, V10, P260, DOI 10.1038/s41558-020-0697-0
   Whitaker JA, 2020, ETHNOS, V85, P843, DOI 10.1080/00141844.2019.1626466
   Wilcock D, 2013, PROG PHYS GEOG, V37, P573, DOI 10.1177/0309133313483164
   Wu SC, 2021, COMPUT COMMUN, V178, P26, DOI 10.1016/j.comcom.2021.07.007
NR 92
TC 4
Z9 4
U1 0
U2 2
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2096-7438
EI 2666-6839
J9 GEOGR SUSTAIN
JI Geogr. Sustain.
PD DEC
PY 2021
VL 2
IS 4
BP 288
EP 297
DI 10.1016/j.geosus.2021.11.003
EA DEC 2021
PG 10
WC Green & Sustainable Science & Technology; Geography, Physical
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics; Physical Geography
GA YV3QY
UT WOS:000752646900006
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Hagerman, S
   Kozak, R
AF Hagerman, Shannon
   Kozak, Robert
TI Disentangling the social complexities of assisted migration through
   deliberative methods
SO JOURNAL OF ECOLOGY
LA English
DT Article
DE assisted migration; decision&#8208; making; deliberative methods;
   expertise; knowledge; novel environmental interventions; public
   engagement
ID ADAPTATION STRATEGIES; CLIMATE-CHANGE; POLICY; SCIENCE; PARTICIPATION;
   FUTURES; SCALES
AB The impacts of climate change have prompted forest practitioners and decision makers to consider assisted migration (a form of plant translocation) as a management strategy.
   Historically, decisions around forest management, including the application of novel approaches, have been driven by the interests of particular groups and informed by a narrow range of knowledge inputs.
   Drawing on our program of social science research and that of others, we demonstrate: (a) the need to expand the range of groups consulted in climate-adaptive forest management; (b) the necessity to incorporate a broader range of knowledge inputs; and (c) the development and application of deliberative approaches that facilitate both.
   Synthesis. We identify a novel deliberative agenda for understanding the societal aspects and implications of plant translocation research and practice, and make recommendations for mixed socially based research methods that revolve around engaging a diverse set of publics and forms of knowledge in environmental decision-making and policy-setting.
C1 [Hagerman, Shannon; Kozak, Robert] Univ British Columbia, Fac Forestry, Vancouver, BC, Canada.
C3 University of British Columbia
RP Hagerman, S (corresponding author), Univ British Columbia, Fac Forestry, Vancouver, BC, Canada.
EM shannon.hagerman@ubc.ca
OI Hagerman, Shannon/0000-0002-1830-6126
FU CoAdapTree: Healthy Trees for Future Climates [241REF]
FX CoAdapTree: Healthy Trees for Future Climates, Grant/Award Number:
   241REF
CR Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Akin H, 2017, BIOSCIENCE, V67, P290, DOI 10.1093/biosci/biw171
   Albrecht GA, 2013, J AGR ENVIRON ETHIC, V26, P827, DOI 10.1007/s10806-012-9411-1
   Arvai J, 2006, J FOREST, V104, P173
   Aubin I, 2011, FOREST CHRON, V87, P755, DOI 10.5558/tfc2011-092
   Bickerstaff K, 2005, URBAN STUD, V42, P2123, DOI 10.1080/00420980500332098
   Biggs R, 2007, ECOL SOC, V12
   Castree N, 2014, NAT CLIM CHANGE, V4, P763, DOI 10.1038/NCLIMATE2339
   Chilvers J, 2020, SCI TECHNOL HUM VAL, V45, P347, DOI 10.1177/0162243919850885
   Corner A, 2010, ENVIRONMENT, V52, P24, DOI 10.1080/00139150903479563
   Cruz SM, 2020, FRONT PSYCHOL, V11, DOI 10.3389/fpsyg.2020.00363
   Delgado A, 2011, PUBLIC UNDERST SCI, V20, P826, DOI 10.1177/0963662510363054
   Diver S, 2017, ENVIRON SCI POLICY, V73, P1, DOI 10.1016/j.envsci.2017.03.001
   Dumroese RK, 2015, NEW FOREST, V46, P947, DOI 10.1007/s11056-015-9504-6
   Findlater KM, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7464
   Forsyth Tim., 2008, Forest Guardians, Forest Destroyers: The Politics of Environmental Knowledge in Northern Thailand
   Government of Canada, 2020, ASS MIGR
   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
   Hajjar R, 2015, FOREST POLICY ECON, V61, P59, DOI 10.1016/j.forpol.2015.08.004
   Howe PD, 2015, NAT CLIM CHANGE, V5, P596, DOI 10.1038/nclimate2583
   Howell RA, 2018, ENERG POLICY, V113, P721, DOI 10.1016/j.enpol.2017.11.061
   IUCN, 2013, GUIDELINES REINTRODU
   Jasanoff S, 2003, MINERVA, V41, P223, DOI 10.1023/A:1025557512320
   Jasanoff S., 2004, States of knowledge: The co-production of science and social order, P13, DOI DOI 10.4324/9780203413845
   Jasanoff S, 2017, BIG DATA SOC, V4, P1, DOI 10.1177/2053951717724477
   Kasperson RE, 2006, GLOBAL ENVIRON CHANG, V16, P320, DOI 10.1016/j.gloenvcha.2006.08.002
   Kohl PA, 2019, CONSERV BIOL, V33, P1286, DOI 10.1111/cobi.13310
   Kok MTJ, 2017, SUSTAIN SCI, V12, P177, DOI 10.1007/s11625-016-0354-8
   Krzywoszynska A, 2018, SCI TECHNOL HUM VAL, V43, P785, DOI 10.1177/0162243917752865
   Lewis S, 2015, HEALTH PROMOT PRACT, V16, P473, DOI 10.1177/1524839915580941
   Macnaghten P, 2014, ENVIRON PLANN C, V32, P530, DOI 10.1068/c1245j
   Macnaghten P, 2013, GLOBAL ENVIRON CHANG, V23, P465, DOI 10.1016/j.gloenvcha.2012.12.008
   Macnaghten P, 2017, NAT ENERGY, V2, DOI 10.1038/nenergy.2017.59
   Mavrommati G, 2017, ECOL SOC, V22, DOI 10.5751/ES-09105-220239
   Maxwell JosephA., 2013, Qualitative Research Design: An Interactive Approach, P1
   Morgan G., 2002, Risk Communication: A Mental Models Approach
   Oreskes N, 2004, ENVIRON SCI POLICY, V7, P369, DOI 10.1016/j.envsci.2004.06.002
   Palmer C, 2014, ENVIRON VALUE, V23, P641, DOI 10.3197/096327114X13947900181833
   Pelai R, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105296
   Pereira L, 2019, ELEMENTA-SCI ANTHROP, V7, DOI 10.1525/elementa.374
   Peterson St-Laurent G., 2018, CLIMATIC CHANGE, DOI 10.1007/s10584-018-2310-3?utm_source=researcher_app%26utm_medium=referral%26utm_campaign=MKEF_USG_Researcher_inbound
   Rauschmayer F, 2006, LAND USE POLICY, V23, P108, DOI 10.1016/j.landusepol.2004.08.011
   Renn O., 2004, RISK ANAL SOC INTERD, P289
   Sansilvestri R, 2015, ENVIRON SCI POLICY, V51, P192, DOI 10.1016/j.envsci.2015.04.005
   Sarewitz D, 2004, ENVIRON SCI POLICY, V7, P385, DOI 10.1016/j.envsci.2004.06.001
   SLOVIC P, 1995, AM PSYCHOL, V50, P364, DOI 10.1037/0003-066X.50.5.364
   Small ML, 2009, ETHNOGRAPHY, V10, P5, DOI 10.1177/1466138108099586
   Smith LindaTuhiwai., 2012, Decolonizing Methodologies: Research and Indigenous Peoples, V2nd
   Soorae P.S., 2021, Global conservation translocation perspectives: 2021. Case studies from around the globe
   Spies TA, 2010, LANDSCAPE ECOL, V25, P1185, DOI 10.1007/s10980-010-9483-0
   St-Laurent GP, 2019, J ENVIRON MANAGE, V242, P474, DOI 10.1016/j.jenvman.2019.04.065
   STERN PC, 1994, J SOC ISSUES, V50, P65, DOI 10.1111/j.1540-4560.1994.tb02420.x
   Tengö M, 2017, CURR OPIN ENV SUST, V26-27, P17, DOI 10.1016/j.cosust.2016.12.005
   Turnhout E, 2018, CONSERV SOC, V16, P363, DOI 10.4103/cs.cs_17_35
   Vitt P, 2010, BIOL CONSERV, V143, P18, DOI 10.1016/j.biocon.2009.08.015
   Webler T, 2016, LOCAL ENVIRON, V21, P166, DOI 10.1080/13549839.2014.930425
   Whyte KP, 2016, SUSTAIN SCI, V11, P25, DOI 10.1007/s11625-015-0296-6
NR 58
TC 7
Z9 7
U1 2
U2 24
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0022-0477
EI 1365-2745
J9 J ECOL
JI J. Ecol.
PD JUN
PY 2021
VL 109
IS 6
BP 2309
EP 2316
DI 10.1111/1365-2745.13667
EA MAY 2021
PG 8
WC Plant Sciences; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Plant Sciences; Environmental Sciences & Ecology
GA SR5WP
UT WOS:000648652700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Olson, ME
   Soriano, D
   Rosell, JA
   Anfodillo, T
   Donoghue, MJ
   Edwards, EJ
   León-Gómez, C
   Dawson, T
   Martínez, JJC
   Castorena, M
   Echeverría, A
   Espinosa, CI
   Fajardo, A
   Gazol, A
   Isnard, S
   Lima, RS
   Marcati, CR
   Méndez-Alonzo, R
AF Olson, Mark E.
   Soriano, Diana
   Rosell, Julieta A.
   Anfodillo, Tommaso
   Donoghue, Michael J.
   Edwards, Erika J.
   Leon-Gomez, Calixto
   Dawson, Todd
   Julio Camarero Martinez, J.
   Castorena, Matiss
   Echeverria, Alberto
   Espinosa, Carlos I.
   Fajardo, Alex
   Gazol, Antonio
   Isnard, Sandrine
   Lima, Rivete S.
   Marcati, Carmen R.
   Mendez-Alonzo, Rodrigo
TI Plant height and hydraulic vulnerability to drought and cold
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE adaptation; allometry; climate change; forest dieback; embolism
   vulnerability
ID XYLEM CONDUIT DIAMETER; VESSEL DIAMETER; CLIMATE-CHANGE; FLOWERING
   PLANTS; INDUCED EMBOLISM; GENERAL-MODEL; WATER-STRESS; WOOD DENSITY;
   TREE; CAVITATION
AB Understanding how plants survive drought and cold is increasingly important as plants worldwide experience dieback with drought in moist places and grow taller with warming in cold ones. Crucial in plant climate adaptation are the diameters of water-transporting conduits. Sampling 537 species across climate zones dominated by angiosperms, we find that plant size is unambiguously the main driver of conduit diameter variation. And because taller plants have wider conduits, and wider conduits within species are more vulnerable to conduction-blocking embolisms, taller conspecifics should be more vulnerable than shorter ones, a prediction we confirm with a plantation experiment. As a result, maximum plant size should be short under drought and cold, which cause embolism, or increase if these pressures relax. That conduit diameter and embolism vulnerability are inseparably related to plant size helps explain why factors that interact with conduit diameter, such as drought or warming, are altering plant heights worldwide.
C1 [Olson, Mark E.; Soriano, Diana; Donoghue, Michael J.; Leon-Gomez, Calixto; Castorena, Matiss; Echeverria, Alberto] Univ Nacl Autonoma Mexico, Inst Biol, Dept Bot, Mexico City 04510, DF, Mexico.
   [Rosell, Julieta A.] Univ Nacl Autonoma Mexico, Inst Ecol, Lab Nacl Ciencias Sostenibilidad, Cdmx 04510, Mexico.
   [Anfodillo, Tommaso] Univ Padua, Dept Terr & Sistemi Agroforestali, I-35020 Legnaro, PD, Italy.
   [Donoghue, Michael J.; Edwards, Erika J.] Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT 06520 USA.
   [Dawson, Todd] Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 USA.
   [Dawson, Todd] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA.
   [Julio Camarero Martinez, J.; Gazol, Antonio] CSIC, Inst Pirenaico Ecol, Zaragoza 50059, Spain.
   [Espinosa, Carlos I.] Univ Tecn Particular Loja, San Cayetano Alto Sn, Loja, Ecuador.
   [Fajardo, Alex] Univ Austral Chile, Ctr Invest Ecosistemas Patagonia Conicyt Reg R10C, Coyhaique 5951601, Chile.
   [Isnard, Sandrine] Univ Montpellier, Bot & Modelling Plant Architecture & Vegetat Join, Ctr Cooperat Int Rech Agron Dev, Inst Rech Dev,CNRS,INRA, Noumea 98800, New Caledonia.
   [Lima, Rivete S.] Univ Fed Paraiba, Dept Sistemat & Ecol, BR-58051900 Joao Pessoa, Paraiba, Brazil.
   [Marcati, Carmen R.] Univ Estadual Paulista, Fac Ciencias Agron, BR-18603970 Botucatu, SP, Brazil.
   [Mendez-Alonzo, Rodrigo] Ctr Invest Cient & Educ Super Ensenada, Dept Biol Conservac, Ensenada 22860, Baja California, Mexico.
   [Castorena, Matiss] Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA.
C3 Universidad Nacional Autonoma de Mexico; Universidad Nacional Autonoma
   de Mexico; University of Padua; Yale University; University of
   California System; University of California Berkeley; University of
   California System; University of California Berkeley; Consejo Superior
   de Investigaciones Cientificas (CSIC); CSIC - Instituto Pirenaico de
   Ecologia (IPE); Universidad Tecnica Particular de Loja; Universidad
   Austral de Chile; CIRAD; Institut de Recherche pour le Developpement
   (IRD); INRAE; Universite de Montpellier; Universidade Federal da
   Paraiba; Universidade Estadual Paulista; CICESE - Centro de
   Investigacion Cientifica y de Educacion Superior de Ensenada; University
   of Arizona
RP Olson, ME; Donoghue, MJ (corresponding author), Univ Nacl Autonoma Mexico, Inst Biol, Dept Bot, Mexico City 04510, DF, Mexico.
EM molson@ib.unam.mx; michael.donoghue@yale.edu
RI MENDEZ-ALONZO, RODRIGO/J-6211-2016; Anfodillo, Tommaso/C-9847-2013;
   Rosell, Julieta/AAR-5792-2020; Dawson, Todd/ABO-2712-2022; Isnard,
   Sandrine/L-2216-2017; Espinosa, Carlos/AAI-1305-2019; Marcati,
   Carmen/C-6490-2012; Gazol, Antonio/B-7322-2015; Silva de Lima,
   Rivete/F-1505-2019
OI Espinosa, Carlos Ivan/0000-0002-5330-4505; Camarero, J.
   Julio/0000-0003-2436-2922; Olson, Mark Earl/0000-0003-3715-4567;
   ANFODILLO, Tommaso/0000-0003-2750-9918; Isnard,
   Sandrine/0000-0003-3142-2671; Marcati, Carmen/0000-0001-5723-6450;
   Gazol, Antonio/0000-0001-5902-9543; Rosell, Julieta
   A./0000-0001-5741-8027; Silva de Lima, Rivete/0000-0001-7253-7614;
   Soriano Fernandez, Diana/0000-0003-4336-2725
FU University of California Institute for Mexico and the United States
   [CN-15-1428]; Programa de Apoyo a Proyectos de Investigacion e
   Innovacion Tecnologica of the Universidad Nacional Autonoma de Mexico
   [IT200515]; Consejo Nacional de Ciencia y Tecnologia (Mexico) [32404,
   237061]; Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (Brazil)
   [2014/14778-6, 2015/14954-1]; Fondo Nacional de Desarrollo Cientifico y
   Tecnologico (Chile) [1160329]; Programa de Becas Posdoctorales,
   Direccion General de Asuntos del Personal Academico-Universidad Nacional
   Autonoma de Mexico; Ministerio de Economia, Industria y Competitividad
   Grant [FPDI 2013-16600]; Fundacao de Amparo a Pesquisa do Estado de Sao
   Paulo (FAPESP) [15/14954-1, 14/14778-6] Funding Source: FAPESP
FX We thank J. Aparecido Benedito, G. Arevalo, M. P. Ashton, F. Bosio, P.
   Bravo-Monasterio, the Braz family, P. Byrnes, A. Campos, H. Cassola, A.
   Cervantes, R. Coates, J. L. Diaz Olguin, A. Downing, D. Eaton, V.
   Figueroa-Abundiz, A. Ford, M. Garcia, S. Gleason, L. Hancock, J. R.
   Lima, E. Lopez, S. Machado, M. Moeglein, J. Navarro Parra, J. and M.
   Olson, B. Park, J. Pitterman, D. S. Podadera, O. Pupo, E. Ramirez, K.
   Renton, S. Rodrigues Machado, G. Salazar, F. Silva, E. Spriggs, P.
   Sweeney, R. Teixeira de Queiroz, A. Thompson, W. Tozer, J. Vega, M.
   Westoby, S. Zamora, F. Zapata, and the staff at RPPN Fazenda Almas. This
   work was supported by University of California Institute for Mexico and
   the United States Grant CN-15-1428; Programa de Apoyo a Proyectos de
   Investigacion e Innovacion Tecnologica of the Universidad Nacional
   Autonoma de Mexico Grant IT200515; Consejo Nacional de Ciencia y
   Tecnologia (Mexico) Grants 32404 and 237061; Fundacao de Amparo a
   Pesquisa do Estado de Sao Paulo (Brazil) Grants 2014/14778-6 and
   2015/14954-1; Fondo Nacional de Desarrollo Cientifico y Tecnologico
   (Chile) Grant 1160329; postdoctoral fellowships from the Programa de
   Becas Posdoctorales, Direccion General de Asuntos del Personal
   Academico-Universidad Nacional Autonoma de Mexico (to D.S.); and
   Ministerio de Economia, Industria y Competitividad Grant FPDI 2013-16600
   (to A.G.).
CR Adams HD, 2017, NAT ECOL EVOL, V1, P1285, DOI 10.1038/s41559-017-0248-x
   Anderegg WRL, 2016, P NATL ACAD SCI USA, V113, P5024, DOI 10.1073/pnas.1525678113
   Anderegg WRL, 2012, TRENDS PLANT SCI, V17, P693, DOI 10.1016/j.tplants.2012.09.006
   Anfodillo T, 2006, NEW PHYTOL, V169, P279, DOI 10.1111/j.1469-8137.2005.01587.x
   [Anonymous], 2004, Model selection and multimodel inference, DOI DOI 10.1007/B97636
   [Anonymous], 2009, Statistical models: theory and practice
   Apgaua DMG, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0130799
   Banavar JR, 1999, NATURE, V399, P130, DOI 10.1038/20144
   Bennett AC, 2015, NAT PLANTS, V1, DOI [10.1038/NPLANTS.2015.139, 10.1038/nplants.2015.139]
   Berner LT, 2013, GLOBAL CHANGE BIOL, V19, P3449, DOI 10.1111/gcb.12304
   Blomberg SP, 2003, EVOLUTION, V57, P717, DOI 10.1111/j.0014-3820.2003.tb00285.x
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   BREDA N, 1993, CAN J FOREST RES, V23, P1136, DOI 10.1139/x93-144
   Bremer B, 2003, BOT J LINN SOC, V141, P399, DOI 10.1046/j.1095-8339.2003.t01-1-00158.x
   Brodribb TJ, 2016, P NATL ACAD SCI USA, V113, P4865, DOI 10.1073/pnas.1522569113
   Burgess SSO, 2006, PLANT CELL ENVIRON, V29, P229, DOI 10.1111/j.1365-3040.2005.01415.x
   Cai J, 2010, PLANT CELL ENVIRON, V33, P1059, DOI 10.1111/j.1365-3040.2010.02127.x
   Carlquist S, 2005, BRITTONIA, V57, P276, DOI 10.1663/0007-196X(2005)057[0276:WAOGTH]2.0.CO;2
   CARLQUIST S, 1989, Aliso, V12, P257
   Carlquist S., 2001, COMP WOOD ANATOMY SY, DOI [10.1007/978-3-662-04578-7, DOI 10.1007/978-3-662-04578-7]
   Chatterjee S., 2013, HDB REGRESSION ANAL
   Christoffersen BO, 2016, GEOSCI MODEL DEV, V9, P4227, DOI 10.5194/gmd-9-4227-2016
   Coomes DA, 2007, BIOL LETTERS, V3, P86, DOI 10.1098/rsbl.2006.0551
   Davis SD, 1999, AM J BOT, V86, P1367, DOI 10.2307/2656919
   Devi N, 2008, GLOBAL CHANGE BIOL, V14, P1581, DOI 10.1111/j.1365-2486.2008.01583.x
   Domec JC, 2008, P NATL ACAD SCI USA, V105, P12069, DOI 10.1073/pnas.0710418105
   Enquist BJ, 2003, PLANT CELL ENVIRON, V26, P151, DOI 10.1046/j.1365-3040.2003.00987.x
   Givnish TJ, 2014, ECOLOGY, V95, P2991, DOI 10.1890/14-0240.1
   Gleason SM, 2016, NEW PHYTOL, V209, P123, DOI 10.1111/nph.13646
   Greenwood S, 2017, ECOL LETT, V20, P539, DOI 10.1111/ele.12748
   Grmping U., 2006, Journal of Statistical Software, V17, P1, DOI [DOI 10.18637/JSS.V017.I01, 10.18637/jss.v017.i01]
   Hacke UG, 2001, OECOLOGIA, V126, P457, DOI 10.1007/s004420100628
   Hacke UG, 2017, PLANT CELL ENVIRON, V40, P831, DOI 10.1111/pce.12777
   HARGRAVE KR, 1994, NEW PHYTOL, V126, P695, DOI 10.1111/j.1469-8137.1994.tb02964.x
   Jacobsen AL, 2007, J ECOL, V95, P171, DOI 10.1111/j.1365-2745.2006.01186.x
   Jacobsen AL, 2012, AM J BOT, V99, P1583, DOI 10.3732/ajb.1200140
   Jansen S, 2015, NEW PHYTOL, V205, P961, DOI 10.1111/nph.13229
   JARBEAU JA, 1995, PLANT CELL ENVIRON, V18, P189, DOI 10.1111/j.1365-3040.1995.tb00352.x
   Jasinska AK, 2015, FUNCT PLANT BIOL, V42, P565, DOI 10.1071/FP14224
   Kempes CP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020551
   Klein T, 2015, ECOL LETT, V18, P1311, DOI 10.1111/ele.12525
   Koch GW, 2004, NATURE, V428, P851, DOI 10.1038/nature02417
   Lazzarin M, 2016, IAWA J, V37, P172, DOI 10.1163/22941932-20160129
   Lens F, 2007, AM J BOT, V94, P483, DOI 10.3732/ajb.94.4.483
   Li S, 2016, IAWA J, V37, P152, DOI 10.1163/22941932-20160128
   Lindenmayer DB, 2017, BIOL REV, V92, P1434, DOI 10.1111/brv.12290
   Lindenmayer DB, 2016, TRENDS ECOL EVOL, V31, P416, DOI 10.1016/j.tree.2016.03.003
   McCulloh KA, 2003, NATURE, V421, P939, DOI 10.1038/nature01444
   McCulloh KA, 2014, PLANT CELL ENVIRON, V37, P1171, DOI 10.1111/pce.12225
   McDowell NG, 2018, TRENDS ECOL EVOL, V33, P15, DOI 10.1016/j.tree.2017.10.002
   McDowell NG, 2015, NAT CLIM CHANGE, V5, P669, DOI [10.1038/nclimate2641, 10.1038/NCLIMATE2641]
   Meakem V, 2018, NEW PHYTOL, V219, P947, DOI 10.1111/nph.14633
   Niklas KJ, 2007, TREE PHYSIOL, V27, P433, DOI 10.1093/treephys/27.3.433
   Olson ME, 2014, ECOL LETT, V17, P988, DOI 10.1111/ele.12302
   Olson ME, 2013, INT J PLANT SCI, V174, P1062, DOI 10.1086/671432
   Petit G, 2009, J THEOR BIOL, V259, P1, DOI 10.1016/j.jtbi.2009.03.007
   Pfautsch S, 2016, ECOL LETT, V19, P240, DOI 10.1111/ele.12559
   Pittermann J, 2006, PLANT PHYSIOL, V140, P374, DOI 10.1104/pp.105.067900
   Rockwell FE, 2014, PLANT PHYSIOL, V164, P1649, DOI 10.1104/pp.113.233817
   Rosell JA, 2017, CURR FOR REP, V3, P46, DOI 10.1007/s40725-017-0049-0
   Rowland L, 2015, NATURE, V528, P119, DOI 10.1038/nature15539
   Sack L, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms1835
   Savage VM, 2010, P NATL ACAD SCI USA, V107, P22722, DOI 10.1073/pnas.1012194108
   Scoffoni C, 2017, NEW PHYTOL, V213, P1076, DOI 10.1111/nph.14256
   Soltis DE, 2011, AM J BOT, V98, P704, DOI 10.3732/ajb.1000404
   Sperry JS, 2008, PLANT CELL ENVIRON, V31, P632, DOI 10.1111/j.1365-3040.2007.01765.x
   SPERRY JS, 1988, PLANT CELL ENVIRON, V11, P35, DOI 10.1111/j.1365-3040.1988.tb01774.x
   Sperry JS, 1997, TREE PHYSIOL, V17, P275
   Stegen JC, 2009, GLOBAL ECOL BIOGEOGR, V18, P617, DOI 10.1111/j.1466-8238.2009.00471.x
   Sturm M, 2001, NATURE, V411, P546, DOI 10.1038/35079180
   Symonds MRE, 2011, BEHAV ECOL SOCIOBIOL, V65, P13, DOI 10.1007/s00265-010-1037-6
   Tao SL, 2016, ECOLOGY, V97, P3265, DOI 10.1002/ecy.1580
   Thomas SC, 1996, AM J BOT, V83, P556, DOI 10.2307/2445913
   Tulyananda T, 2017, AUST J BOT, V65, P389, DOI [10.1071/bt16261, 10.1071/BT16261]
   TYREE MT, 1991, PLANT PHYSIOL, V96, P1105, DOI 10.1104/pp.96.4.1105
   Venturas MD, 2015, PLANT CELL ENVIRON, V38, P1060, DOI 10.1111/pce.12461
   Warwick NWM, 2017, ANN BOT-LONDON, V119, P1249, DOI 10.1093/aob/mcx019
   West GB, 1999, NATURE, V400, P664, DOI 10.1038/23251
   West GB, 1997, SCIENCE, V276, P122, DOI 10.1126/science.276.5309.122
   Wheeler JK, 2005, PLANT CELL ENVIRON, V28, P800, DOI 10.1111/j.1365-3040.2005.01330.x
   Williamson GB, 2010, AM J BOT, V97, P519, DOI 10.3732/ajb.0900243
   Zanne AE, 2014, NATURE, V506, P89, DOI 10.1038/nature12872
   Zhang YJ, 2009, PLANT CELL ENVIRON, V32, P1456, DOI 10.1111/j.1365-3040.2009.02012.x
NR 83
TC 279
Z9 308
U1 15
U2 218
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 JUL 17
PY 2018
VL 115
IS 29
BP 7551
EP 7556
DI 10.1073/pnas.1721728115
PG 6
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA GN3GQ
UT WOS:000438892600058
PM 29967148
OA Green Published, Bronze
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Lee, T
   Lee, T
AF Lee, Taedong
   Lee, Taehwa
TI Evolutionary urban climate resilience: assessment of Seoul's policies
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Climate change; Climate adaptation; Climate mitigation; Evolutionary
   urban climate resilience; Seoul
ID ADAPTATION; CITIES; MITIGATION; DISASTERS; SYSTEMS
AB Purpose - Ongoing climate risks require all levels of society to be resilient. Urban areas, which are densely developed with huge levels of population and infrastructure, are critical places to develop adaptation and resilience strategies. This study aims to conceptualize evolutionary urban climate resilience strategies with a step-by-step analytic framework that will be called 3R: Recognition-Readiness-Response.
   Design/methodology/approach - This analytic framework is then applied to assess whether and to what extent the components of urban climate resilience are incorporated into the pertinent ordinances and policies of the Seoul Metropolitan Government, including climate change, urban planning and disaster management.
   Findings - The findings of this study suggest that the climate change ordinances of Seoul have focused on climate mitigation rather than resilience.
   Practical implications - Thus, comprehensive efforts are required to incorporate evolutionary urban climate resilience strategies into ordinances and practices.
   Originality/value - This paper contributes to build an analytic framework that provides a step-by-step process with check-list questions based on the sub-components of urban climate resilience procedure.
C1 [Lee, Taedong] Yonsei Univ, Dept Polit Sci, Seoul, South Korea.
   [Lee, Taehwa] Univ Seoul, Dept Urban Adm, Seoul, South Korea.
C3 Yonsei University; University of Seoul
RP Lee, T (corresponding author), Univ Seoul, Dept Urban Adm, Seoul, South Korea.
EM thlee21@uos.ac.kr
RI Lee, Taedong/AAJ-5234-2020
FU Seoul Metropolitan Council; Yonsei University Challenge Research Grant
   [2015-22-0077]; Basic Science Research Program through the National
   Research Foundation of Korea (NRF) - Ministry of Education, Science and
   Technology [NRF-2013S1A3A2054969]
FX This research was funded by the Seoul Metropolitan Council. The authors
   thank the Seoul Metropolitan Council for their generous funding. This
   research was also funded from Yonsei University Challenge Research Grant
   2015-22-0077 and the Basic Science Research Program through the National
   Research Foundation of Korea (NRF) funded by the Ministry of Education,
   Science and Technology (NRF-2013S1A3A2054969).
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   CAI-Asia and CDIA, 2012, CLIM CHANG INFR AS C
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Holling C. S., 2002, Panarchy: understanding transformations in human and natural systems
   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
   Institute of Social and Environmental Transition (ISET), 2011, CAT URB CLIM RES
   Intergovernmental Panel on Climate Change (IPCC), 2013, CLIMATE CHANGE, DOI 10.1017/9781009157896.001
   Lee T., 2014, URBAN CLIMATE RISKS
   Lim S., 2012, SEOUL URBAN STUDIES, V13, P195
   Lutsey N, 2008, ENERG POLICY, V36, P673, DOI 10.1016/j.enpol.2007.10.018
   McDaniels T, 2008, GLOBAL ENVIRON CHANG, V18, P310, DOI 10.1016/j.gloenvcha.2008.03.001
   Penney J., 2008, Climate Change Adaptation in the City of Toronto: Lessons for Great Lakes Communities
   Reed SO, 2013, ENVIRON URBAN, V25, P393, DOI 10.1177/0956247813501136
   Roberts D, 2010, ENVIRON URBAN, V22, P397, DOI 10.1177/0956247810379948
   Seoul Metropolitan Government (SMG), 2014, One Less Nuclear Power Plant, Phase 2
   Seoul Metropolitan Government (SMG), 2012, DET PLAN CLIM CHANG
   SMG (Seoul Metropolitan Government), 2014, 2030 SEOUL PLAN
   Solecki W., 2013, URBAN TRANSFORMATION, P197
   Surjan A, 2011, COMM ENV DISAST RISK, V6, P17, DOI 10.1108/S2040-7262(2011)0000006008
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   World Economic Forum, 2013, GLOB RISK REP
NR 27
TC 11
Z9 11
U1 5
U2 64
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PY 2016
VL 8
IS 5
BP 597
EP 612
DI 10.1108/IJCCSM-06-2015-0066
PG 16
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA EI0DC
UT WOS:000392141600002
DA 2025-01-10
ER

PT J
AU Franco, G
   Cayan, DR
   Moser, S
   Hanemann, M
   Jones, MA
AF Franco, Guido
   Cayan, Daniel R.
   Moser, Susanne
   Hanemann, Michael
   Jones, Myoung-Ae
TI Second California Assessment: integrated climate change impacts
   assessment of natural and managed systems.
SO CLIMATIC CHANGE
LA English
DT Article
ID ELECTRICITY DEMAND; CHANGE SCENARIOS; WATER; MODEL; UTILITY
AB Since 2006 the scientific community in California, in cooperation with resource managers, has been conducting periodic statewide studies about the potential impacts of climate change on natural and managed systems. This Special Issue is a compilation of revised papers that originate from the most recent assessment that concluded in 2009. As with the 2006 studies that influenced the passage of California's landmark Global Warming Solutions Act (AB32), these papers have informed policy formulation at the state level, helping bring climate adaptation as a complementary measure to mitigation. We provide here a brief introduction to the papers included in this Special Issue focusing on how they are coordinated and support each other. We describe the common set of downscaled climate and sea-level rise scenarios used in this assessment that came from six different global climate models (GCMs) run under two greenhouse gas emissions scenarios: B1 (low emissions) and A2 (a medium-high emissions). Recommendations for future state assessments, some of which are being implemented in an on-going new assessment that will be completed in 2012, are offered.
C1 [Franco, Guido] Calif Energy Commiss, Sacramento, CA 95814 USA.
   [Cayan, Daniel R.] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
   [Moser, Susanne] Stanford Univ, Santa Cruz, CA USA.
   [Hanemann, Michael] Arizona State Univ, Dept Econ, Tempe, AZ 85287 USA.
   [Jones, Myoung-Ae] Univ Calif San Diego, Scripps Inst Oceanog, Sacramento, CA USA.
   [Cayan, Daniel R.] US Geol Survey, La Jolla, CA USA.
   [Moser, Susanne] Susanne Moser Res & Consulting, Santa Cruz, CA USA.
C3 University of California System; University of California San Diego;
   Scripps Institution of Oceanography; Stanford University; Arizona State
   University; Arizona State University-Tempe; University of California
   System; University of California San Diego; Scripps Institution of
   Oceanography; United States Department of the Interior; United States
   Geological Survey
RP Franco, G (corresponding author), Calif Energy Commiss, Sacramento, CA 95814 USA.
EM Gfranco@Energy.state.ca.us
FU Direct For Social, Behav & Economic Scie; Division Of Behavioral and
   Cognitive Sci [1134890] Funding Source: National Science Foundation
CR Adams PN, 2011, CLIMATIC CHANGE, V109, P211, DOI 10.1007/s10584-011-0317-0
   Adams R, 2003, GLOBAL CLIMATE CHANG
   Adger WN, 2009, FRONT ECOL ENVIRON, V7, P150, DOI 10.1890/070148
   [Anonymous], CEC5002009014F
   [Anonymous], CEC5002009052F
   [Anonymous], AM CLIM CHOIC AD IMP
   [Anonymous], EC DISCUSSION PAPERS
   [Anonymous], 2011, Managing California's water: From conflict to reconciliation
   Aspen Environmental Group and M. Cubed, 2005, CEC7002005010 ASP EN
   Auffhammer M, 2011, CLIMATIC CHANGE, V109, P191, DOI [10.1007/s10584-011-0299-y, 10.1007/s10584-011-0299-v]
   Baldocchi D, 2008, CLIMATIC CHANGE, V87, pS153, DOI 10.1007/s10584-007-9367-8
   Barnett T, 2004, CLIMATIC CHANGE, V62, P1, DOI 10.1023/B:CLIM.0000013695.21726.b8
   Basu R, 2008, AM J EPIDEMIOL, V168, P632, DOI 10.1093/aje/kwn170
   Battles J, 2009, CEC5002008047F
   Bender FAM, 2012, CLIM DYNAM, V38, P2037, DOI 10.1007/s00382-011-1065-6
   Bierwagen BG, 2010, P NATL ACAD SCI USA, V107, P20887, DOI 10.1073/pnas.1002096107
   Bonfils C, 2008, CLIMATIC CHANGE, V87, pS43, DOI 10.1007/s10584-007-9374-9
   Brekke LD, 2008, CLIMATIC CHANGE, V89, P371, DOI 10.1007/s10584-007-9388-3
   Bryant B, 2009, CEC5002009048F
   Buntine C, 2008, CEC5002008056
   CalFire, 2010, CAL FOR RANG 2010 AS
   California Natural Resources Agency, 2009, 2009 CAL CLIM AD STR
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS21, DOI 10.1007/s10584-007-9377-6
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS1, DOI 10.1007/s10584-007-9352-2
   Chao BF, 2008, SCIENCE, V320, P212, DOI 10.1126/science.1154580
   Church JA, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL024826
   Connell-Buck CR, 2011, CLIMATIC CHANGE, V109, P133, DOI 10.1007/s10584-011-0302-7
   Coquard J, 2004, CLIM DYNAM, V23, P455, DOI 10.1007/s00382-004-0437-6
   Das T, 2011, CLIMATIC CHANGE, V109, P71, DOI 10.1007/s10584-011-0298-z
   Del Grosso SJ, 2005, SOIL TILL RES, V83, P9, DOI 10.1016/j.still.2005.02.007
   DWR, 2005, B CAL DEP WAT RES
   EIA, STAT EN DAT SYST
   Ekstrom J., 2011, CEC5002011004, P4
   El Serafy S, 1998, ECOL ECON, V25, P25
   Field C.B., 1999, Confronting climate change in California. Ecological impacts on the Golden State
   Florsheim JL, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL031702
   Franco G, 2008, CLIMATIC CHANGE, V87, pS139, DOI 10.1007/s10584-007-9364-y
   Franco G, 2008, CLIMATIC CHANGE, V87, pS7, DOI 10.1007/s10584-007-9359-8
   Green RS, 2010, INT J PUBLIC HEALTH, V55, P113, DOI 10.1007/s00038-009-0076-0
   Hannah L, 2011, CLIMATIC CHANGE, V109, P429, DOI 10.1007/s10584-011-0307-2
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Hayhoe K, 2004, P NATL ACAD SCI USA, V101, P12422, DOI 10.1073/pnas.0404500101
   Heberger M, 2011, CLIMATIC CHANGE, V109, P229, DOI 10.1007/s10584-011-0308-1
   Hidalgo HG, 2008, CALIFORNIA ENERGY CO
   Howitt R, 2003, GLOBAL CLIMATE CHANG
   Hughes Mimi, 2011, Climatic Change, V109, pS119, DOI 10.1007/s10584-011-0300-9
   Knowles N., 2010, San Francisco Estuary and Watershed Science, V8
   Lee J, 2011, CLIMATIC CHANGE, V109, P335, DOI 10.1007/s10584-011-0305-4
   Lobell DB, 2011, CLIMATIC CHANGE, V109, P355, DOI 10.1007/s10584-011-0304-5
   Lobell DB, 2011, CLIMATIC CHANGE, V109, P317, DOI 10.1007/s10584-011-0303-6
   MacDonald GM, 2010, P NATL ACAD SCI USA, V107, P21256, DOI 10.1073/pnas.0909651107
   Madani K, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007206
   Mahmud A, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009534
   Mastrandrea MD, 2011, CLIMATIC CHANGE, V109, P43, DOI 10.1007/s10584-011-0311-6
   Maurer EP, 2008, HYDROL EARTH SYST SC, V12, P551
   Maurer EP, 2010, HYDROL EARTH SYST SC, V14, P1125, DOI 10.5194/hess-14-1125-2010
   Maurer E. P., 1990, ASSESSING COSTS ADAP
   McCauley DJ, 2006, NATURE, V443, P27, DOI 10.1038/443027a
   Medellín-Azuara J, 2011, CLIMATIC CHANGE, V109, P387, DOI 10.1007/s10584-011-0314-3
   Messner S, 2011, CLIMATIC CHANGE, V109, P505, DOI 10.1007/s10584-011-0316-1
   Miller NL, 2008, J APPL METEOROL CLIM, V47, P1834, DOI 10.1175/2007JAMC1480.1
   Moser S, 2008, CEC5002008077 CAL CL
   Moser S.C., 2009, California Energy Commission, PIER Energy-Related Environmental Research Program
   NCA, 2011, NAT CLIM ASS STRAT S
   Newmann J, 2003, GLOBAL CLIMATE CHANG
   Nordhaus WD, 2008, A Question of Balance: Economic Models of Climate Change
   OPC, 2010, STAT CAL SEA LEV RIS
   Pendleton L, 2011, CLIMATIC CHANGE, V109, P277, DOI 10.1007/s10584-011-0309-0
   Pierce DW, 2009, P NATL ACAD SCI USA, V106, P8441, DOI 10.1073/pnas.0900094106
   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]
   Rahmstorf S, 2007, SCIENCE, V315, P368, DOI 10.1126/science.1135456
   Revell David L., 2011, Climatic Change, V109, pS251, DOI 10.1007/s10584-011-0315-2
   Roos M, 1998, INTERAGENCY ECOLOGY, P107
   Sailor D, 2003, ENERGY, V28
   Salathe EP, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026882
   Sanstad AH, 2011, CLIMATIC CHANGE, V109, P21, DOI 10.1007/s10584-011-0296-1
   Schlenker W, 2007, CLIMATIC CHANGE, V81, P19, DOI 10.1007/s10584-005-9008-z
   Shaw MR, 2011, CLIMATIC CHANGE, V109, P465, DOI 10.1007/s10584-011-0313-4
   Shonkoff SB, 2011, CLIMATIC CHANGE, V109, P485, DOI 10.1007/s10584-011-0310-7
   Sohngen B, 2001, J AGR RESOUR ECON, V26, P326
   Vicuña S, 2011, CLIMATIC CHANGE, V109, P151, DOI 10.1007/s10584-011-0301-8
   Watkiss P., 2008, Integr Assess J, V8, P85
   Westerling A., 2003, EXPT LONG LEAD FOREC, V12, P49
   Westerling AL, 2008, CLIMATIC CHANGE, V87, pS231, DOI 10.1007/s10584-007-9363-z
   Westerling AL, 2011, CLIMATIC CHANGE, V109, P445, DOI 10.1007/s10584-011-0329-9
   Wilson T, 2003, 50003058 CEC, P1
   Wood AW, 2004, CLIMATIC CHANGE, V62, P189, DOI 10.1023/B:CLIM.0000013685.99609.9e
   Yin JH, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023684
NR 88
TC 18
Z9 22
U1 0
U2 40
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD DEC
PY 2011
VL 109
SU 1
SI SI
BP 1
EP 19
DI 10.1007/s10584-011-0318-z
PG 19
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 871SF
UT WOS:000298757300001
DA 2025-01-10
ER

PT C
AU Kassem, A
   Hamory, T
   Vouk, I
   Harvey, D
AF Kassem, Atef
   Hamory, Tamas
   Vouk, Ivana
   Harvey, David
BE Bloschl, G
   Takeuchi, K
   Jain, S
   Farnleitner, A
   Schumann, A
TI Risk-based assessment of water availability in a changing climate
SO RISK IN WATER RESOURCES MANAGEMENT
SE IAHS Publication
LA English
DT Proceedings Paper
CT 25th General Assembly of the International Union of Geodesy and
   Geophysics
CY JUN 28-JUL 07, 2011
CL Melbourne, AUSTRALIA
SP Int Commiss Water Resources Systems, Int Commiss Surface Water, Int Commiss Water Qual, Int Assoc Hydrol Sci, UNESCO-IHP
DE water availability; climate variability; climate change; risk; climate
   adaptation
AB Water availability assessment is a complex undertaking and is becoming more challenging given the uncertainty associated with climate change. It requires the evaluation of not only water supplies, but also of the competing water demands for socio-economic development and maintaining a healthy ecosystem. Both water supplies and water demands are subject to significant seasonal and annual variation, which is expected to be exacerbated by climate change. By analysing the time varying water supplies and water demands, water availability can be presented in terms of probability or in a risk-management context. The large uncertainty surrounding climate change, as well as future socio-economic and other developments can be dealt with by using scenario analysis that incorporates a wide range of future socio-economic and climate scenarios or possibilities. Such analysis allows the establishment of the relative change in risk to the water resources system (e.g. frequency of occurrence of shortages) as a result of climate change (scenarios) and the analysis of the impacts of adaptation measures on reducing such risk.
C1 [Kassem, Atef; Hamory, Tamas; Vouk, Ivana; Harvey, David] Environm Canada, Sustainable Water Management Div, Environm Stewardship Branch, Ottawa, ON K1A 0H3, Canada.
C3 Environment & Climate Change Canada
RP Kassem, A (corresponding author), Environm Canada, Sustainable Water Management Div, Environm Stewardship Branch, Ottawa, ON K1A 0H3, Canada.
EM atef.kassem@ec.gc.ca
CR KASSEM A, 2005, OECD WORKSH AGR WAT
   KASSEM A, 1992, WATER USE ANAL MODEL
   PIETRONIRO A, 2005, 58 CWRA C REFL OUR F
   TOTH B, 2005, COMMUNICATION
NR 4
TC 0
Z9 0
U1 1
U2 13
PU INT ASSOC HYDROLOGICAL SCIENCES
PI WALLINGFORD
PA INST OF HYDROLOGY, WALLINGFORD OX10 8BB, ENGLAND
SN 0144-7815
BN 978-1-907161-22-3
J9 IAHS-AISH P
PY 2011
VL 347
BP 159
EP 164
PG 6
WC Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Water Resources
GA BXV63
UT WOS:000297275200025
DA 2025-01-10
ER

PT J
AU Bozzola, M
   Smale, M
AF Bozzola, Martina
   Smale, Melinda
TI The welfare effects of crop biodiversity as an adaptation to climate
   shocks in Kenya
SO WORLD DEVELOPMENT
LA English
DT Article
DE Crop diversification; Smallholder farmer; Vulnerability; Kenya
ID INSTRUMENTAL VARIABLES; ENVIRONMENTAL RISK; WEATHER; MANAGEMENT;
   DIVERSITY; VULNERABILITY; PRODUCTIVITY; AGRICULTURE; VARIABILITY;
   REGRESSION
AB This paper investigates the effects of crop biodiversity on farm income and production risk using a large panel dataset of rural households in Kenya. We consider three different metrics of in situ (on-farm) crop diversification (richness, evenness and concentration). We apply a partial moments-based model to test the effects of each strategy on welfare defined as expected crop income, variability (variance) and down-side risk (skewness). Our comprehensive econometric approach differentiates climatic shocks, weather and climate change. The results suggest that the benefits from greater diversification in terms of enhanced land productivity and lower production costs could surpass the foregone benefit from greater efficiency associated with more concentrated production systems. Crop richness and evenness each reduce exposure to crop income risk, especially for more vulnerable farmers who produce below the expected revenue threshold. Farmers who rely on greater crop specialization, on the contrary, are more exposed to crop income risk. (C) 2020 Elsevier Ltd. All rights reserved.
C1 [Bozzola, Martina] Queens Univ Belfast, IGFS, Sch Biol Sci, Belfast, Antrim, North Ireland.
   [Bozzola, Martina] ZHAW Zurich Univ Appl Sci, Zurich, Switzerland.
   [Bozzola, Martina] Queens Univ, Belfast 19 Chlorine Gardens, Belfast BT9 5DL, Antrim, North Ireland.
   [Smale, Melinda] Michigan State Univ, Dept Agr Food & Resource Econ, Justin S Morrill Hall Agr,446 West Circle Dr, E Lansing, MI 48824 USA.
C3 Queens University Belfast; Queens University Belfast; Michigan State
   University
RP Bozzola, M (corresponding author), Queens Univ Belfast, IGFS, Sch Biol Sci, Belfast, Antrim, North Ireland.; Bozzola, M (corresponding author), ZHAW Zurich Univ Appl Sci, Zurich, Switzerland.; Bozzola, M (corresponding author), Queens Univ, Belfast 19 Chlorine Gardens, Belfast BT9 5DL, Antrim, North Ireland.
EM m.bozzola@qub.ac.uk; msmale@msu.edu
RI Bozzola, Martina/AAH-1483-2020
OI Bozzola, Martina/0000-0002-0078-842X
CR Angrist JD, 2001, J ECON PERSPECT, V15, P69, DOI 10.1257/jep.15.4.69
   [Anonymous], 1993, P 8 C APPL CLIM
   [Anonymous], 1999, CAN MICROLEVEL HOUSE
   [Anonymous], 2015, ROLE CROP DIVERSITY
   [Anonymous], 2004, INSURANCE POVERTY
   Antle J.M., 1983, Journal of Business Economic Statistics, V1, P192, DOI DOI 10.1080/07350015.1983.10509339
   Antle JM, 2010, AM J AGR ECON, V92, P1294, DOI 10.1093/ajae/aaq077
   Asfaw S, 2018, WORLD DEV, V101, P219, DOI 10.1016/j.worlddev.2017.09.004
   Auffhammer M., 2013, REV ENV ECON POLICY
   Bezabih M., 2014, REP ENV DEV INITIATI
   Billor N, 2000, COMPUT STAT DATA AN, V34, P279, DOI 10.1016/S0167-9473(99)00101-2
   Binswanger H. P., 1991, World Bank Research Observer, V6, P57, DOI 10.1093/wbro/6.1.57
   Bozzola M., 2018, MAIZE INTENSIFICATIO
   Carter M, 2017, ANNU REV RESOUR ECON, V9, P421, DOI 10.1146/annurev-resource-100516-053352
   CHAMBERLAIN G, 1982, J ECONOMETRICS, V18, P5, DOI 10.1016/0304-4076(82)90094-X
   Chavas JP, 2015, J AGR RESOUR ECON, V40, P63
   Crick F, 2018, WORLD DEV, V108, P157, DOI 10.1016/j.worlddev.2018.03.015
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   Dercon S, 2000, J DEV STUD, V36, P25, DOI 10.1080/00220380008422653
   Di Falco S, 2005, ECOL ECON, V55, P459, DOI 10.1016/j.ecolecon.2004.12.005
   Di Falco S, 2008, LAND ECON, V84, P83, DOI 10.3368/le.84.1.83
   Di Falco S, 2006, EUR REV AGRIC ECON, V33, P289, DOI 10.1093/eurrag/jbl016
   Di Falco S, 2014, ENVIRON RESOUR ECON, V57, P553, DOI 10.1007/s10640-013-9696-1
   Di Falco S, 2012, ANNU REV RESOUR ECON, V4, P207, DOI 10.1146/annurev-resource-110811-114543
   Di Falco S, 2010, ECOL ECON, V69, P1695, DOI 10.1016/j.ecolecon.2010.03.024
   Di Falco S, 2009, AM J AGR ECON, V91, P599, DOI 10.1111/j.1467-8276.2009.01265.x
   DuVal A., 2019, CONTRIBUTION BIODIVE
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Estrada J., 2004, Journal of Emerging Market Finance, V3, P231, DOI DOI 10.1177/097265270400300301
   FAFCHAMPS M, 1992, AM J AGR ECON, V74, P90, DOI 10.2307/1242993
   Fafchamps M, 1998, J DEV ECON, V55, P273, DOI 10.1016/S0304-3878(98)00037-6
   Finger R, 2018, EUR REV AGRIC ECON, V45, P641, DOI 10.1093/erae/jby012
   Harari M, 2018, REV ECON STAT, V100, P594, DOI 10.1162/rest_a_00730
   Harris I, 2014, INT J CLIMATOL, V34, P623, DOI 10.1002/joc.3711
   Iizumi T, 2015, GLOB FOOD SECUR-AGR, V4, P46, DOI 10.1016/j.gfs.2014.11.003
   Jaramillo J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024528
   Jensen N, 2017, APPL ECON PERSPECT P, V39, P199, DOI 10.1093/aepp/ppw022
   Jones L, 2012, DYKE/GIRL: LANGUAGE AND IDENTITIES IN A LESBIAN GROUP, P49
   Klasen S, 2016, ECOL ECON, V122, P111, DOI 10.1016/j.ecolecon.2016.01.001
   Kurosaki T, 2002, J DEV ECON, V67, P419, DOI 10.1016/S0304-3878(01)00188-2
   Letta M, 2018, WORLD DEV, V112, P13, DOI 10.1016/j.worlddev.2018.07.013
   Mathenge M. K., 2015, AGR EC, V46, P1
   McCord PF, 2015, LAND USE POLICY, V42, P738, DOI 10.1016/j.landusepol.2014.10.012
   MENEZES C, 1980, AM ECON REV, V70, P921
   MUNDLAK Y, 1978, ECONOMETRICA, V46, P69, DOI 10.2307/1913646
   Nachtergaele F., 2012, Harmonized world soil database
   Ochieng J, 2016, NJAS-WAGEN J LIFE SC, V77, P71, DOI 10.1016/j.njas.2016.03.005
   Ortiz-Bobea A, 2020, AM J AGR ECON, V102, P934, DOI 10.1093/ajae/aaz047
   PAXSON CH, 1992, AM ECON REV, V82, P15
   Schoengold K, 2015, AM J AGR ECON, V97, P897, DOI 10.1093/ajae/aau073
   Seo SN, 2013, CLIMATIC CHANGE, V121, P115, DOI 10.1007/s10584-013-0839-8
   Sherlund SM, 2002, J DEV ECON, V69, P85, DOI 10.1016/S0304-3878(02)00054-8
   Smale M, 1998, AM J AGR ECON, V80, P482, DOI 10.2307/1244551
   Staiger D, 1997, ECONOMETRICA, V65, P557, DOI 10.2307/2171753
   Stock J. H  ..., 2005, IDENTIFICATION INFER, P80, DOI [10.1017/CBO9780511614491.006, DOI 10.1017/CBO9780511614491.006]
   Tilman D, 2005, J ENVIRON ECON MANAG, V49, P405, DOI 10.1016/j.jeem.2004.03.008
   Vicente-Serrano SM, 2010, J HYDROMETEOROL, V11, P1033, DOI 10.1175/2010JHM1224.1
   Weber S, 2010, STATA J, V10, P331, DOI 10.1177/1536867X1001000302
   Widawsky D., 1998, FARMERS GENEBANKS CR
   Wineman A, 2017, FOOD SECUR, V9, P281, DOI 10.1007/s12571-016-0645-z
   Wooldridge J. M., 2002, ECONOMETRIC ANAL CRO, P2002
NR 61
TC 34
Z9 34
U1 7
U2 45
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0305-750X
J9 WORLD DEV
JI World Dev.
PD NOV
PY 2020
VL 135
AR 105065
DI 10.1016/j.worlddev.2020.105065
PG 11
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA NH5LR
UT WOS:000564711800023
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Le Roy, B
   Dixon, KW
   Adams-Smith, D
AF Le Roy, Benjamin
   Dixon, Keith W.
   Adams-Smith, Dennis
TI High-resolution urban climate simulations for heat and health
   applications in Philadelphia
SO URBAN CLIMATE
LA English
DT Article
DE Urban Climate Modeling; SURFEX; TEB; Urban Heat Island; Evaluation; Heat
   Stress
ID LAND-SURFACE TEMPERATURE; ENERGY-BALANCE MODEL; COVER DATABASE;
   AIR-POLLUTION; TEB; PARAMETERIZATION; VEGETATION; IMPLEMENTATION;
   GENERATION; INCLUSION
AB Stakeholders need high-resolution urban climate information for city planning and adaptation to climate risks. Climate models have too coarse a spatial resolution to properly represent cities at the relevant scale, and downscaled products often fail to account for urban effects. We propose here a methodological framework for producing high-resolution urban databases that are used to drive the SURFEX-TEB land surface and urban canopy models. A historical simulation is carried out over the period 1991-2020, based on a reanalysis of the city of Philadelphia (Pennsylvania, USA). The simulation is compared with observations outside and inside the city, as well as with a field campaign. The results show good agreement between the model and observations, with average summer biases of only -1( degrees)C and + 0.8 C-degrees for daily minimum and maximum temperatures outside the city, and almost none inside. The simulation is used to calculate the maximum daily heat index (HIX) and to study emergency heat alerts. The HIX is slightly overestimated and, consequently, the model simulates too many heat events if not bias corrected. Overall, HIX conditions at Philadelphia International Airport are found to be suitable proxies for city-wide summer conditions, and therefore are appropriate to use for emergency heat declarations.
C1 [Le Roy, Benjamin] Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ USA.
   [Dixon, Keith W.] NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA.
   [Adams-Smith, Dennis] Univ Corp Atmospher Res Cooperat Program Advanceme, Boulder, CO USA.
C3 National Oceanic Atmospheric Admin (NOAA) - USA; Princeton University;
   National Oceanic Atmospheric Admin (NOAA) - USA
RP Le Roy, B (corresponding author), Helmholtz Zentrum Hereon, Climate Serv Ctr Germany GER, Hamburg, Germany.
EM benjamin.le-roy@hereon.de
RI Dixon, Keith/L-7120-2015; Le Roy, Benjamin/ABA-3284-2021
FU National Oceanic and Atmospheric Administration's (NOAA) Climate Program
   Office, NOAA's Geophysical Fluid Dynamics Laboratory; Cooperative
   Institute for Modeling the Earth System-a collaboration between
   Princeton University; NOAA
FX This work was supported by the National Oceanic and Atmospheric
   Administration's (NOAA) Climate Program Office, NOAA's Geophysical Fluid
   Dynamics Laboratory, and the Cooperative Institute for Modeling the
   Earth System-a collaboration between Princeton University and NOAA. The
   authors declare no conflicts of interest.
CR Albergel C, 2018, HYDROL EARTH SYST SC, V22, P3515, DOI 10.5194/hess-22-3515-2018
   Anderson B., 2016, Package 'weathermetrics': functions to convert between weather metrics, P2
   Anderson GB, 2013, ENVIRON HEALTH PERSP, V121, P1111, DOI 10.1289/ehp.1206273
   Argüeso D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0117066
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Baniassadi A, 2019, URBAN CLIM, V29, DOI 10.1016/j.uclim.2019.100495
   Bernard E, 2022, J APPL METEOROL CLIM, V61, P1159, DOI 10.1175/JAMC-D-21-0134.1
   Brugha R, 2014, PAEDIATR RESPIR REV, V15, P194, DOI 10.1016/j.prrv.2014.03.001
   Bruse M, 1998, ENVIRON MODELL SOFTW, V13, P373, DOI 10.1016/S1364-8152(98)00042-5
   Bruse Michael., 2004, ENVI MET 30 UPDATED
   Bueno B, 2012, GEOSCI MODEL DEV, V5, P433, DOI 10.5194/gmd-5-433-2012
   Cannon AJ, 2015, J CLIMATE, V28, P6938, DOI 10.1175/JCLI-D-14-00754.1
   Chakraborty TC, 2023, ONE EARTH, V6, P738, DOI 10.1016/j.oneear.2023.05.016
   Champeaux JL, 2005, METEOROL APPL, V12, P29, DOI 10.1017/S1350482705001519
   Chen F, 2007, J APPL METEOROL CLIM, V46, P694, DOI 10.1175/JAM2463.1
   Chu E.K., 2023, fifth National
   City of Philadelphia, 2015, Building Footprints update
   Coulston JW, 2012, PHOTOGRAMM ENG REM S, V78, P715, DOI 10.14358/PERS.78.7.715
   D'Amato G, 2010, J INVEST ALLERG CLIN, V20, P95
   de Munck CS, 2013, GEOSCI MODEL DEV, V6, P1941, DOI 10.5194/gmd-6-1941-2013
   Demuzere M, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00605-z
   Dewitz Jon, 2021, USGS
   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]
   Duchêne F, 2022, URBAN CLIM, V46, DOI 10.1016/j.uclim.2022.101319
   Falcone James A, 2016, USGS, DOI 10.5066/F7W09416
   Fan HL, 2005, ATMOS ENVIRON, V39, P73, DOI 10.1016/j.atmosenv.2004.09.031
   Geary R.C., 1936, Suppl. J. R. Stat. Soc, V3, P178, DOI DOI 10.2307/2983669
   Grell G.A., 1994, A Description of the Fifth-Generation Penn State/NCAR Mesoscale Model (MM5)
   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
   Hashemi F, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13041040
   Hayden M.H., 2023, Human health. In: Fifth National Climate Assessment, DOI [10.7930/NCA5.2023.CH15, DOI 10.7930/NCA5.2023.CH15]
   Heaviside Clare, 2017, Curr Environ Health Rep, V4, P296, DOI 10.1007/s40572-017-0150-3
   Heris MP, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0542-3
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Kusaka H, 2001, BOUND-LAY METEOROL, V101, P329, DOI 10.1023/A:1019207923078
   Landsberg H.E., 1970, American Meteorological Society, P91, DOI [10.1007/978-1-935704-35-514, DOI 10.1007/978-1-935704-35-514]
   Langendijk GS, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10120730
   Lanzante JR, 2020, INT J CLIMATOL, V40, P1571, DOI 10.1002/joc.6288
   Le Roy B., 2024, J. Appl. Meteorol. Climatol.
   Le Roy B, 2021, CLIM DYNAM, V56, P2487, DOI 10.1007/s00382-020-05600-z
   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
   Lu YC, 2022, J APPL METEOROL CLIM, V61, P1367, DOI 10.1175/JAMC-D-22-0021.1
   Masson V, 2014, URBAN CLIM, V10, P407, DOI 10.1016/j.uclim.2014.03.004
   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 V, 2020, ANNU REV ENV RESOUR, V45, P411, DOI 10.1146/annurev-environ-012320-083623
   Mironov D.V., 2008, COSMO technical report
   Nogueira M, 2022, GEOSCI MODEL DEV, V15, P5949, DOI 10.5194/gmd-15-5949-2022
   Nogueira M, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100683
   Nogueira M, 2020, GEOSCI MODEL DEV, V13, P3975, DOI 10.5194/gmd-13-3975-2020
   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., 2004, IOM Report, P81
   Oke T. R., 2017, Urban Climates, DOI [10.1017/9781139016476, DOI 10.1017/9781139016476]
   Oleson KW, 2015, CLIMATIC CHANGE, V129, P525, DOI 10.1007/s10584-013-0936-8
   Otte TL, 2004, J APPL METEOROL, V43, P1648, DOI 10.1175/JAM2164.1
   Pearson K., 1905, Biometrika, V4, P169
   Pekel JF, 2016, NATURE, V540, P418, DOI 10.1038/nature20584
   Potapov P, 2021, REMOTE SENS ENVIRON, V253, DOI 10.1016/j.rse.2020.112165
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Ramamurthy P, 2017, J GEOPHYS RES-ATMOS, V122, P168, DOI 10.1002/2016JD025357
   Redon E, 2020, GEOSCI MODEL DEV, V13, P385, DOI 10.5194/gmd-13-385-2020
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Rothfusz L.P., 1990, The heat index equation (or, more than you ever wanted to know about heat index), V9023, P640
   Salgado R, 2010, BOREAL ENVIRON RES, V15, P231
   Schmidt GA, 2006, J CLIMATE, V19, P153, DOI 10.1175/JCLI3612.1
   Schmidt GA, 2014, J ADV MODEL EARTH SY, V6, P141, DOI 10.1002/2013MS000265
   Shandas V, 2019, CLIMATE, V7, DOI 10.3390/cli7010005
   Skamarock WC, 2008, J COMPUT PHYS, V227, P3465, DOI 10.1016/j.jcp.2007.01.037
   Soltani A, 2017, FRONT ARCHIT RES, V6, P529, DOI 10.1016/j.foar.2017.08.001
   STEADMAN RG, 1979, J APPL METEOROL, V18, P861, DOI 10.1175/1520-0450(1979)018<0861:TAOSPI>2.0.CO;2
   Strategies C.A.P.A., 2022, Heat Watch Philadelphia Report
   Tebaldi C, 2021, NAT CLIM CHANGE, V11, P746, DOI 10.1038/s41558-021-01127-1
   Trail M, 2013, GEOSCI MODEL DEV, V6, P1429, DOI 10.5194/gmd-6-1429-2013
   Wang ZH, 2013, Q J ROY METEOR SOC, V139, P1643, DOI 10.1002/qj.2032
   Xian G, 2011, T&F SER REMOTE SENS, P525
   Yang LM, 2018, ISPRS J PHOTOGRAMM, V146, P108, DOI 10.1016/j.isprsjprs.2018.09.006
   Yoo C, 2018, ISPRS J PHOTOGRAMM, V137, P149, DOI 10.1016/j.isprsjprs.2018.01.018
NR 80
TC 0
Z9 0
U1 10
U2 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2024
VL 57
AR 102114
DI 10.1016/j.uclim.2024.102114
EA AUG 2024
PG 17
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA F9J7G
UT WOS:001312900700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Ding, SS
   Zou, YC
   Yu, XF
AF Ding, Shanshan
   Zou, Yuanchun
   Yu, Xiaofei
TI Freeze-thaw cycles alter the growth sprouting strategy of wetland plants
   by promoting denitrification
SO COMMUNICATIONS EARTH & ENVIRONMENT
LA English
DT Article
ID N DEPOSITION TRANSIENT; FRESH-WATER MARSH; SCIRPUS-PLANICULMIS; SEEDLING
   EMERGENCE; SANJIANG PLAIN; SHORT-TERM; NORTHEAST; NITROGEN; CARBON;
   SEQUENCES
AB Sprouting and early growth of plants in wetlands can be inhibited by freeze-thaw cycles via denitrification and reduction of soil nitrogen, according to a temperature-controlled experiment in the Momoge wetland in China.
   Freeze-thaw cycles exert an important abiotic stress on plants at the beginning of winter and spring in mid-to-high latitudes. Here, we investigate whether the effects of freeze-thaw cycles are carried over into the growing season in wetlands. We conduct a temperature-controlled experiment under two freeze-thaw and two flooding conditions on a typical plant (Scirpus planiculmis) and soil from the Momoge wetland (China) and analyze the microbial nitrogen metabolism, based on metagenomic sequencing. We show that freeze-thaw cycles earlier in the year significantly inhibit plant sprouting and early growth. Specifically, they promote denitrification and thus reduce nitrogen levels, which in turn intensifies nitrogen limitation in the wetland soil. We find that plants tend to sprout later but faster after they are exposed to freeze-thaw cycles. Wetland flooding could alleviate these medium-term effects of freeze-thaw cycles. Our results suggest that wetland plants in mid-to-high latitudes have evolved sprouting and growth strategies to adapt to climatic conditions at the beginning of winter and spring.
C1 [Ding, Shanshan; Yu, Xiaofei] Northeast Normal Univ, Engn Res Ctr Low Carbon Treatment & Green Dev Poll, Sch Environm, Minist Educ, Changchun 130117, Peoples R China.
   [Ding, Shanshan; Yu, Xiaofei] Northeast Normal Univ, Sch Environm, State Environm Protect Key Lab Wetland Conservat &, Changchun 130117, Peoples R China.
   [Ding, Shanshan; Yu, Xiaofei] Northeast Normal Univ, Sch Geog Sci, Key Lab Vegetat Ecol, Minist Educ, Changchun 130024, Peoples R China.
   [Ding, Shanshan; Yu, Xiaofei] Northeast Normal Univ, Sch Geog Sci, Key Lab Geog Proc & Ecol Secur Changbai Mt, Minist Educ, Changchun 130024, Peoples R China.
   [Zou, Yuanchun; Yu, Xiaofei] Chinese Acad Sci, Northeast Inst Geog & Agroecol, Heilongjiang Xingkai Lake Wetland Ecosyst Natl Obs, Changchun 130102, Peoples R China.
   [Zou, Yuanchun; Yu, Xiaofei] Chinese Acad Sci, Northeast Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130102, Peoples R China.
   [Zou, Yuanchun; Yu, Xiaofei] Chinese Acad Sci, Northeast Inst Geog & Agroecol, Jilin Prov Joint Key Lab Changbai Mt Wetland & Eco, Changchun 130102, Peoples R China.
C3 Northeast Normal University - China; Northeast Normal University -
   China; Northeast Normal University - China; Northeast Normal University
   - China; Chinese Academy of Sciences; Northeast Institute of Geography &
   Agroecology, CAS; Chinese Academy of Sciences; Northeast Institute of
   Geography & Agroecology, CAS; Chinese Academy of Sciences; Northeast
   Institute of Geography & Agroecology, CAS
RP Yu, XF (corresponding author), Northeast Normal Univ, Engn Res Ctr Low Carbon Treatment & Green Dev Poll, Sch Environm, Minist Educ, Changchun 130117, Peoples R China.; Yu, XF (corresponding author), Northeast Normal Univ, Sch Environm, State Environm Protect Key Lab Wetland Conservat &, Changchun 130117, Peoples R China.; Yu, XF (corresponding author), Northeast Normal Univ, Sch Geog Sci, Key Lab Vegetat Ecol, Minist Educ, Changchun 130024, Peoples R China.; Yu, XF (corresponding author), Northeast Normal Univ, Sch Geog Sci, Key Lab Geog Proc & Ecol Secur Changbai Mt, Minist Educ, Changchun 130024, Peoples R China.; Yu, XF (corresponding author), Chinese Acad Sci, Northeast Inst Geog & Agroecol, Heilongjiang Xingkai Lake Wetland Ecosyst Natl Obs, Changchun 130102, Peoples R China.; Yu, XF (corresponding author), Chinese Acad Sci, Northeast Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130102, Peoples R China.; Yu, XF (corresponding author), Chinese Acad Sci, Northeast Inst Geog & Agroecol, Jilin Prov Joint Key Lab Changbai Mt Wetland & Eco, Changchun 130102, Peoples R China.
EM yuxf888@nenu.edu.cn
RI Zou, Yuanchun/B-6666-2008
OI Zou, Yuanchun/0000-0003-1520-9678
FU National Natural Science Foundation of China [42222102, 42171107];
   Professional Association of the Alliance of International Science
   Organizations
FX AcknowledgementsThis research was funded by the National Natural Science
   Foundation of China (grant numbers 42222102, 42171107), and the
   Professional Association of the Alliance of International Science
   Organizations (Grant No. ANSO-PA-2020-14).
CR An Y, 2019, ECOL INDIC, V107, DOI 10.1016/j.ecolind.2019.105654
   [Anonymous], 2012, Harmonized World Soil Database (version 1.2)
   Bao S., 2000, Soil and agriculture and chemical analysis
   Bao T, 2021, GLOBAL CHANGE BIOL, V27, P376, DOI 10.1111/gcb.15421
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
   Campbell JL, 2019, ENVIRON REV, V27, P545, DOI 10.1139/er-2018-0097
   Chen H, 2021, AGR FOREST METEOROL, V297, DOI 10.1016/j.agrformet.2020.108279
   Cui YX, 2020, SOIL TILL RES, V197, DOI 10.1016/j.still.2019.104463
   Dong XF, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.107880
   Dyer AR, 2004, PLANT ECOL, V172, P211, DOI 10.1023/B:VEGE.0000026339.61069.33
   Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
   Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
   Elkin L., 2021, P ACM S US INT SOFTW, DOI DOI 10.1145/3472749.3474784
   Fox J., 2019, R COMPANION APPL REG
   Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
   Garcia MO, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00616
   Groffman PM, 2001, BIOGEOCHEMISTRY, V56, P191, DOI 10.1023/A:1013024603959
   Gurevich A, 2013, BIOINFORMATICS, V29, P1072, DOI 10.1093/bioinformatics/btt086
   Hao M., 2016, THESIS U CHINESE ACA
   Harrison JL, 2020, BIOGEOCHEMISTRY, V151, P139, DOI 10.1007/s10533-020-00717-z
   Hoyle GL, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00731
   Ji XM, 2022, SOIL BIOL BIOCHEM, V168, DOI 10.1016/j.soilbio.2022.108608
   [姜明 Jiang Ming], 2005, [自然资源学报, Journal of Natural Resources], V20, P279
   Kay M., 2021, EFFECT SIZES ART
   Kay Matthew, 2021, Zenodo
   Keith DA, 2010, GLOBAL CHANGE BIOL, V16, P2300, DOI 10.1111/j.1365-2486.2009.02072.x
   KENNEDY AD, 1993, POLAR BIOL, V13, P271
   Kieft B, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01282
   Koerselman W, 1996, J APPL ECOL, V33, P1441, DOI 10.2307/2404783
   Kreyling J, 2008, NEW PHYTOL, V177, P938, DOI 10.1111/j.1469-8137.2007.02309.x
   Kreyling J, 2012, PLANT SOIL, V353, P19, DOI 10.1007/s11104-011-0970-0
   Lambers H., 2008, Plant Physiological Ecology, V2nd edn, DOI DOI 10.1007/978-0-387-78341-3
   Lauro FM, 2011, ISME J, V5, P879, DOI 10.1038/ismej.2010.185
   Lenth Russell V, 2024, CRAN
   Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
   Li H., 2013, THESIS U CHINESE ACA
   Li YX, 2022, CATENA, V209, DOI 10.1016/j.catena.2021.105846
   Liu B, 2016, ECOL ENG, V87, P30, DOI 10.1016/j.ecoleng.2015.11.026
   Lu R, 2000, The Analytical Methods for Soil and Agrochemistry
   Luan ZQ, 2012, J FOOD AGRIC ENVIRON, V10, P1495
   Ma H, 2020, J PLANT ECOL, V13, P204, DOI 10.1093/jpe/rtaa001
   Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
   Mangiafico SS., 2016, Summary and Analysis of Extension Program Evaluation in R, version 1.15.0
   Mason RE, 2022, SCIENCE, V376, P261, DOI 10.1126/science.abh3767
   Mercer KL, 2011, AM J BOT, V98, P975, DOI 10.3732/ajb.1000408
   Min K, 2014, ENVIRON EXP BOT, V106, P124, DOI 10.1016/j.envexpbot.2014.01.009
   Mitsch WJ., 2015, Wetlands, V5
   Oksanen J., 2020, EGAN COMMUNITY ECOLO
   Ott JP, 2019, ANN BOT-LONDON, V123, P1099, DOI 10.1093/aob/mcz051
   Pan YJ, 2020, FUNCT ECOL, V34, P956, DOI 10.1111/1365-2435.13541
   Pedersen EP, 2020, GLOBAL CHANGE BIOL, V26, P6523, DOI 10.1111/gcb.15306
   Pezeshki SR, 2001, ENVIRON EXP BOT, V46, P299, DOI 10.1016/S0098-8472(01)00107-1
   Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
   Raats M. M., 1991, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Ren JS, 2018, SCI TOTAL ENVIRON, V625, P782, DOI 10.1016/j.scitotenv.2017.12.309
   Renne IJ, 2014, J ECOL, V102, P86, DOI 10.1111/1365-2745.12189
   Revelle William, 2024, CRAN
   Sanders-DeMott R, 2018, BIOGEOCHEMISTRY, V137, P337, DOI 10.1007/s10533-018-0422-5
   Satyanti A, 2019, OECOLOGIA, V189, P407, DOI 10.1007/s00442-018-04328-2
   Sawicka JE, 2010, ISME J, V4, P585, DOI 10.1038/ismej.2009.140
   Semenchuk PR, 2015, BIOGEOCHEMISTRY, V124, P81, DOI 10.1007/s10533-015-0082-7
   Shen MY, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02560
   Song CC, 2008, J ENVIRON MANAGE, V88, P428, DOI 10.1016/j.jenvman.2007.03.030
   Song CC, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034009
   Song Y., 2017, THESIS NE I GEOGRAPH
   Song Y, 2017, SOIL BIOL BIOCHEM, V109, P35, DOI 10.1016/j.soilbio.2017.01.020
   Song Y, 2017, PHYS CHEM EARTH, V97, P3, DOI 10.1016/j.pce.2016.12.005
   Sosnová M, 2010, AQUAT BOT, V92, P33, DOI 10.1016/j.aquabot.2009.09.005
   Tang HR, 2021, ECOSPHERE, V12, DOI 10.1002/ecs2.3448
   Vankoughnett MR, 2014, SOIL BIOL BIOCHEM, V77, P170, DOI 10.1016/j.soilbio.2014.06.020
   Vankoughnett MR, 2014, NEW PHYTOL, V202, P1277, DOI 10.1111/nph.12734
   Wang GP, 2007, GEODERMA, V138, P153, DOI 10.1016/j.geoderma.2006.11.006
   Wang JY, 2017, WETLANDS, V37, P437, DOI 10.1007/s13157-017-0879-3
   Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
   Wang Y., 2022, J ANHUI AGR SCI, V50, P135
   Wei T., 2021, R PACKAGE CORRPLOT V
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3_1
   Wobbrock JO, 2011, 29TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, P143, DOI 10.1145/1978942.1978963
   Yang KJ, 2019, SOIL BIOL BIOCHEM, V135, P51, DOI 10.1016/j.soilbio.2019.04.012
   Ye ZC, 2022, J SOIL SEDIMENT, V22, P1228, DOI 10.1007/s11368-022-03142-x
   Yu D., 2022, THESIS HARBIN NORMAL
   Yu JB, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD008025
   Yu XF, 2020, SCI TOTAL ENVIRON, V706, DOI 10.1016/j.scitotenv.2019.136091
   Yu XF, 2011, SOIL BIOL BIOCHEM, V43, P1308, DOI 10.1016/j.soilbio.2011.03.002
   Zhang CH, 2021, ECOL INDIC, V129, DOI 10.1016/j.ecolind.2021.107974
   Zhang L, 2014, POL J ENVIRON STUD, V23, P1813
   Zheng S., 2019, THESIS JILIN AGR U
   Zhu WH, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq275
NR 89
TC 3
Z9 3
U1 17
U2 70
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
EI 2662-4435
J9 COMMUN EARTH ENVIRON
JI Commun. Earth Environ.
PD FEB 28
PY 2023
VL 4
IS 1
AR 57
DI 10.1038/s43247-023-00718-4
PG 11
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA 9L0BR
UT WOS:000941223700001
OA gold
DA 2025-01-10
ER

PT J
AU Wang, SJ
AF Wang Shijin
TI Perception of indigenous people of climate change and its impact on the
   Everest National Nature Preserve
SO METEOROLOGICAL APPLICATIONS
LA English
DT Article
DE climate change; Everest National Nature Preserve (ENNP); local
   perception and knowledge; tourism
ID CHANGE RISK PERCEPTION; PUBLIC PERCEPTION; TIBETAN PLATEAU; ADAPTATION;
   COMMUNITIES; BEHAVIOR; TRENDS; CHINA
AB Using interviews and surveys of 212 households in villages situated at different elevations in the Everest National Nature Preserve (ENNP), correlations and comparative analyses were employed to reveal the residents' perceptions and understanding of climate change and its effects on the ENNP. Results showed that: (1) nearly all residents thought that climate warming and ice-snow landscape decrease were very significant, but there was an obvious difference between the residents' cognition and observations to the change of runoff; (2) higher altitude is, more obvious warming is, and stronger residents' perception of climate change and its impacts is in the ENNP, for which educational level and age were the main factors affecting their degree of perception; (3) especially, higher altitude is, more frequent the tourism participation of residents is and higher their income is; and (4) because the centralized pollutant treatment facilities have a low efficiency, and because the area receives a large number of tourists whose activities are spatially scattered, the potential risk of environmental pollution has been increasing in recent years. At present there is an urgent need for policy suggestions at the strategic level of national ecological security and interregional equity principles concerning the adaptation to climate and environmental changes in the ENNP.
C1 [Wang Shijin] Northwest Inst Ecoenvironm & Resources, Yulong Snow Mt Glacier & Environm Observat & Res, State Key Lab Cryospher Sci, Lanzhou, Peoples R China.
   [Wang Shijin] Univ Chinese Acad Sci, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Wang, SJ (corresponding author), Donggang West Rd 320, Lanzhou 730000, Gansu, Peoples R China.
EM xiaohanjin@126.com
OI Wang, Shijin/0000-0002-4788-0530
FU "Strategic priority research program" of the Chinese Academy of Sciences
   [XDA19070503]; National Natural Science Found [41690143]
FX "Strategic priority research program" of the Chinese Academy of
   Sciences, Grant/Award Number: XDA19070503; National Natural Science
   Found, Grant/Award Number: 41690143
CR Akerlof K, 2013, GLOBAL ENVIRON CHANG, V23, P81, DOI 10.1016/j.gloenvcha.2012.07.006
   Ameztegui A, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0197689
   [Anonymous], 2018, HDB SUSTAINABILITY S
   Aryal S, 2016, CLIM DEV, V8, P435, DOI 10.1080/17565529.2015.1040718
   Bardsley DK, 2018, SOC NATUR RESOUR, V31, P424, DOI 10.1080/08941920.2017.1421733
   Belfer E, 2017, CLIMATIC CHANGE, V145, P57, DOI 10.1007/s10584-017-2076-z
   Bhatt BC, 2014, J GEOPHYS RES-ATMOS, V119, P12533, DOI 10.1002/2014JD022134
   Brown I, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0297
   Budhathoki NK, 2020, CLIM DEV, V12, P204, DOI 10.1080/17565529.2019.1612317
   Byg A, 2009, GLOBAL ENVIRON CHANG, V19, P156, DOI 10.1016/j.gloenvcha.2009.01.010
   Capstick S, 2015, WIRES CLIM CHANGE, V6, P35, DOI 10.1002/wcc.321
   Capstick SB, 2014, CLIMATIC CHANGE, V122, P695, DOI 10.1007/s10584-013-1003-1
   Chakraborty D, 2015, AM J PRIMATOL, V77, P271, DOI 10.1002/ajp.22343
   [陈德亮 Chen Deliang], 2015, [科学通报, Chinese Science Bulletin], V60, P3025
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Devkota R., 2014, Journal of Environment Protection, V5, P255, DOI [DOI 10.4236/JEP.2014.54029, 10.4236/JEP.2014.54029]
   Dey T, 2018, ENVIRON DEV SUSTAIN, V20, P925, DOI 10.1007/s10668-017-9920-1
   Domingos S., 2018, Theory and Practice of Climate Adaptation, P49
   Ellis F, 1998, J DEV STUD, V35, P1, DOI 10.1080/00220389808422553
   Gao J, 2019, NATURE, V565, P19, DOI 10.1038/d41586-018-07838-4
   Guo WQ, 2015, J GLACIOL, V61, P357, DOI 10.3189/2015JoG14J209
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   Hassan S, 2018, EARTH SYST ENVIRON, V2, P515, DOI 10.1007/s41748-018-0058-6
   Howe PD, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab466a
   Ingty T, 2017, CLIMATIC CHANGE, V145, P41, DOI 10.1007/s10584-017-2080-3
   Ji ZM, 2013, J ATMOS SCI, V70, P1278, DOI 10.1175/JAS-D-12-0155.1
   Jorgensen SL, 2016, CLIMATIC CHANGE, V138, P283, DOI 10.1007/s10584-016-1718-x
   Kimaro EG, 2018, PASTORALISM, V8, DOI 10.1186/s13570-018-0125-5
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Li WK, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06762-5
   Libarkin JC, 2018, CLIMATIC CHANGE, V150, P403, DOI 10.1007/s10584-018-2279-y
   Likert R., 1932, ARCH PSYCHOL, V22, P55, DOI DOI 10.4135/9781412961288.N454
   [刘伟刚 Liu Weigang], 2006, [冰川冻土, Journal of Glaciology and Geocryology], V28, P663
   Negi VS, 2017, J MT SCI-ENGL, V14, P403, DOI 10.1007/s11629-015-3814-1
   Nie Y, 2010, J GEOGR SCI, V20, P667, DOI 10.1007/s11442-010-0803-8
   O'Connor RE, 1999, RISK ANAL, V19, P461, DOI 10.1023/A:1007004813446
   Ojala M, 2015, J ENVIRON EDUC, V46, P133, DOI 10.1080/00958964.2015.1021662
   Panda A, 2016, NAT HAZARDS, V84, P777, DOI 10.1007/s11069-016-2456-0
   Panno A, 2015, EUR J SOC PSYCHOL, V45, P858, DOI 10.1002/ejsp.2162
   Pratoomchai W, 2015, WATER RESOUR MANAG, V29, P3807, DOI 10.1007/s11269-015-1030-y
   [普布次仁 Pubu Ciren], 2013, [冰川冻土, Journal of Glaciology and Geocryology], V35, P1103
   Risen JL, 2011, J PERS SOC PSYCHOL, V100, P777, DOI 10.1037/a0022460
   Roco L, 2015, REG ENVIRON CHANGE, V15, P867, DOI 10.1007/s10113-014-0669-x
   Ruiz I, 2020, ENVIRON SCI POLICY, V108, P112, DOI 10.1016/j.envsci.2020.03.020
   Running K, 2017, SOC NATUR RESOUR, V30, P659, DOI 10.1080/08941920.2016.1239151
   Scruggs L, 2012, GLOBAL ENVIRON CHANG, V22, P505, DOI 10.1016/j.gloenvcha.2012.01.002
   Shen MG, 2015, NATL SCI REV, V2, P454, DOI 10.1093/nsr/nwv058
   Shen SSP, 2015, THEOR APPL CLIMATOL, V120, P445, DOI 10.1007/s00704-014-1185-0
   Sun YY, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15010091
   Tesfahunegn GB, 2019, SOC SCI J, V56, P268, DOI 10.1016/j.soscij.2018.07.004
   Tindall DB, 2015, NAT CLIM CHANGE, V5, P546, DOI 10.1038/nclimate2597
   Tosun C, 2002, ANN TOURISM RES, V29, P231, DOI 10.1016/S0160-7383(01)00039-1
   Wang B., 2018, GEOPHYS RES LETT, V35
   Wang SJ, 2015, ECOL INDIC, V53, P211, DOI 10.1016/j.ecolind.2015.01.024
   Wang XJ, 2018, INT J CLIMATOL, V38, P1116, DOI 10.1002/joc.5246
   [王忠彦 Wang Zhongyan], 2013, [高原气象, Plateau Meteorology], V32, P31
   Wu QB, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009539
   [Yan Jianzhong 阎建忠], 2006, Journal of Geographical Sciences, V16, P293, DOI 10.1007/s11442-006-0305-x
   Yao TD, 2012, NAT CLIM CHANGE, V2, P663, DOI [10.1038/nclimate1580, 10.1038/NCLIMATE1580]
   Ye QH, 2015, J HYDROL, V530, P273, DOI 10.1016/j.jhydrol.2015.09.014
   Yu H, 2013, NAT HAZARDS, V69, P459, DOI 10.1007/s11069-013-0711-1
NR 61
TC 3
Z9 3
U1 5
U2 22
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 2021
VL 28
IS 2
AR e1987
DI 10.1002/met.1987
PG 12
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Meteorology & Atmospheric Sciences
GA RV1LY
UT WOS:000645602600010
OA gold
DA 2025-01-10
ER

PT J
AU Lee, S
   Jeon, H
   Kim, M
AF Lee, Sangdon
   Jeon, Hyeyoung
   Kim, Minkyung
TI Spatial Distribution of Butterflies in Accordance with Climate Change in
   the Korean Peninsula
SO SUSTAINABILITY
LA English
DT Article
DE butterflies; global warming; habitat shift; spatial distribution;
   northern species
ID BRITISH BUTTERFLIES; PATTERNS; PHENOLOGY; ABUNDANCE; RESPONSES; TRENDS
AB The effects of climate change are becoming apparent in the biosphere. In the 20th century, South Korea experienced a 1.5 degrees C temperature increase due to rapid industrialization and urbanization. If the changes continue, it is predicted that approximately 15-37% of animal and plant species will be endangered after 2050. Because butterflies act as a good indicator for changes in the temperature, the distribution of butterflies can be used to determine their adaptability to climate patterns. Local meteorological data for the period 1938-2011 were used from the National Forest Research Institute of Korea. Local temperature data were additionally considered among the basic information, and the distribution patterns of butterflies were analyzed for both the southern and northern regions. Southern butterflies (with northern limit) tend to increase in number with significant correlation between the temperature and number of habitats (p < 0.000), while northern butterflies (with southern limit) show no statistical significance between the temperature and number of habitats, indicating their sensitivity to temperature change. This finding is in accordance with the conclusion that southern butterflies are more susceptible to climate change when adapting to local environments and expanding their original temperature range for survival, which leads to an increase in the numbers of their habitats.
C1 [Lee, Sangdon; Jeon, Hyeyoung; Kim, Minkyung] Ewha Womans Univ, Coll Engn, Dept Environm Sci & Engn, Seoul 03760, South Korea.
C3 Ewha Womans University
RP Lee, S (corresponding author), Ewha Womans Univ, Coll Engn, Dept Environm Sci & Engn, Seoul 03760, South Korea.
EM lsd@ewha.ac.kr; hyth4197@hanmail.net; pollyfriend@nate.com
OI Lee, Sang-Don/0000-0002-3282-873X
FU Basic Science Research Program through the National Research Foundation
   of Korea (NRF) - Ministry of Science, Technology and Education
   [NRF-2017R1D1A1B03029300]; Environmental Science & Technology Center
   (SEST), KOREA; SEST (2020)
FX This research was funded by Basic Science Research Program through the
   National Research Foundation of Korea (NRF) funded by the Ministry of
   Science, Technology and Education (NRF-2017R1D1A1B03029300) and
   Environmental Science & Technology Center (SEST), KOREA, and SEST
   (2020).
CR [Anonymous], THEORETICAL ECOLOGY
   [Anonymous], 1998, Biostatistical Analysis
   Balmer O, 2000, CONSERV BIOL, V14, P746, DOI 10.1046/j.1523-1739.2000.98612.x
   Bartel RA, 2011, ECOLOGY, V92, P342, DOI 10.1890/10-0489.1
   Beaumont LJ, 2002, GLOBAL CHANGE BIOL, V8, P954, DOI 10.1046/j.1365-2486.2002.00490.x
   BROWN JH, 1984, AM NAT, V124, P255, DOI 10.1086/284267
   Choi JY, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16081437
   Choi SW, 2004, J BIOGEOGR, V31, P587, DOI 10.1046/j.1365-2699.2003.01007.x
   Cooke Philip., 2015, Journal of Open Innovation: Technology, Market, and Complexity, V1, P1, DOI [10.1186/s40852-015-0002-z, DOI 10.1186/S40852-015-0002-Z]
   Folister M.L, 2003, GLOBAL CHANGE BIOL, V9, P1130
   Forister ML, 2010, P NATL ACAD SCI USA, V107, P2088, DOI 10.1073/pnas.0909686107
   Hill JK, 2002, P ROY SOC B-BIOL SCI, V269, P2163, DOI 10.1098/rspb.2002.2134
   Honda K., 2005, Biology of Butterflies
   Kim C.H, 1976, ENCY KOREAN BUTTERFL
   Kim S, 2012, ECOLOGICAL ILLUSTRAT
   KWON T.-S., 2012, DISTRIBUTION CHANGE
   Kwon TS, 2013, ENTOMOL RES, V43, P108, DOI 10.1111/1748-5967.12010
   Kwon TS, 2010, ENVIRON ENTOMOL, V39, P337, DOI 10.1603/EN09184
   Lee S.-D., 2018, J OPEN INNOV-TECHNOL, V4, P48, DOI [10.3390/joitmc4040048, DOI 10.3390/JOITMC4040048]
   Park G.T, 1997, ATLAS BUTTERFLIES
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Parmesan C, 1999, NATURE, V399, P579, DOI 10.1038/21181
   Parmesan C, 1996, NATURE, V382, P765, DOI 10.1038/382765a0
   Pleasants JM, 2013, INSECT CONSERV DIVER, V6, P135, DOI 10.1111/j.1752-4598.2012.00196.x
   Polgar CA, 2013, BIOL CONSERV, V160, P25, DOI 10.1016/j.biocon.2012.12.024
   POLLARD E, 1995, J APPL ECOL, V32, P9, DOI 10.2307/2404411
   Pollard E, 1996, ECOL ENTOMOL, V21, P365
   Pollard E., 1993, Monitoring butterflies for ecology and conservation
   Preston KL, 2012, BIOL CONSERV, V152, P280, DOI 10.1016/j.biocon.2012.03.011
   Rada S, 2019, DIVERS DISTRIB, V25, P217, DOI 10.1111/ddi.12854
   Roy DB, 2000, GLOB CHANGE BIOL, V6, P407, DOI 10.1046/j.1365-2486.2000.00322.x
   Sang A, 2010, BIOL CONSERV, V143, P1405, DOI 10.1016/j.biocon.2010.03.015
   Satterfield DA, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2014.1734
   Seok D.M., 1973, DISTRIBUTION MAPS BU
   Stefanescu C, 2003, GLOBAL CHANGE BIOL, V9, P1494, DOI 10.1046/j.1365-2486.2003.00682.x
   Stefanescu C, 2011, ECOGRAPHY, V34, P353, DOI 10.1111/j.1600-0587.2010.06264.x
   Warren MS, 2001, NATURE, V414, P65, DOI 10.1038/35102054
   Yoshio M., 2010, EFFECTS GLOBAL WARMI, P54
NR 38
TC 2
Z9 4
U1 2
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR 1
PY 2020
VL 12
IS 5
AR 1995
DI 10.3390/su12051995
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 KY3KU
UT WOS:000522470900296
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Vahanvati, M
   McEvoy, D
   Iyer-Raniga, U
AF Vahanvati, Mittul
   McEvoy, Darryn
   Iyer-Raniga, Usha
TI Inclusive and resilient shelter guide: accounting for the needs of
   informal settlements in Solomon Islands
SO INTERNATIONAL JOURNAL OF DISASTER RESILIENCE IN THE BUILT ENVIRONMENT
LA English
DT Article
DE Resilience; Climate change adaptation; Disaster risk reduction; Housing;
   Shelter; Informal settlements
ID RECONSTRUCTION
AB PurposeThis paper aims to highlight the localised shelter solutions to fulfil adequate and disaster resilient housing needs of urban informal settlers of Honiara, the capital city of Solomon Islands, in a way that is sensitive to their unique challenges, values and aspirations, is gender- and disability-inclusive, and considers housing from the complete lifecycle of a disaster (pre-, during- and post-). Design/methodology/approachQualitative data was gathered through empirical research through five community workshops at five hotspot settlements, two stakeholder workshops and a stakeholder interview. Semi-structured questions as well as photographs of housing and settlement were used for data collection. With an emphasis on self-recovery, the identified shelter needs were then matched with the roles and responsibilities of the Government to support a process of "assisted" self-preparedness and recovery. FindingsThe output of the research was the Solomon Islands Shelter Guide. This paper draws from the Guide to present some of the findings. One of the key findings was an emphasis on shelter self-preparedness and self-recovery. However, in order for them to do that, they needed a combination of assistance - technical knowledge, materials and financial support - which is tailored to their settlement's specific needs and based on hazard damage assessment. While the Guide provides one form of the assistance (i.e. technical), this paper is a call for action from the Solomon Islands Government and shelter responders to fulfil the rest of the community needs for shelter adequacy. Research limitations/implicationsThe paper contributes to existing scholarship on shelter after disasters by adding "assisted" in front of self-recovery, in line with the limited access to resources by the most vulnerable to recover, despite housing being" a human right and definition of adequate housing (UN-Habitat, 2015, 2021), which includes freedom of choice, entitlements and meeting minimum adequacy criteria. Practical implicationsThere are many implications of this research. Since the publication of the Shelter Guide, there is excitement among most humanitarian and development agencies, government authorities and the local communities in Honiara. The Guide forms the first step in contributing to identified needs and strengthening community capacities to self-build, self-recover or self-retrofit one's house based on their own choice of materials, design, social and economic circumstance. However, it provides one of the three elements identified as needs by the communities, as i) technical guidance, and a kit-of parts for multi-hazard safe housing, ii) financial and economic assistance and iii) a political voice or being supported and heard by the government. The research team are working with the same five urban informal communities in 2022-2023 to develop and operationalise local disaster plans (in partnership with local non-government organisations), capacity-building activities and translation of the Shelter Guide into technical posters (for local builders) and graphic novel in local pidgin language, as part of the Climate Resilient Honiara project (funded by the United Nations framework convention on climate change (UNFCCC) Adaptation fund and administered by UN-Habitat). In the longer term it would be worth evaluating the practical implications of the Guide or to examine whether the proposed socio-technical and governance guidance will find roots in the local culture.
   Originality/valueWhile the Guide adhered to internationally agreed concepts of self-recovery, incremental shelter and core space, it contributes to existing scholarship on shelter after disasters by adding "assisted" in front of self-recovery, in line with housing as a human right and adequate housing (UN-Habitat, 2015, 2021), including freedom of choice, entitlements and meet minimum adequacy criteria, all of which require materials and financial assistance by the relevant in-country authorities.
C1 [Vahanvati, Mittul] Royal Melbourne Inst Technol RMIT, Sch Global Urban & Social Studies, Melbourne, Australia.
   [McEvoy, Darryn] Royal Melbourne Inst Technol RMIT, Climate Change Adaptat Program, Melbourne, Australia.
   [Iyer-Raniga, Usha] Royal Melbourne Inst Technol RMIT, Sch Property Construct & Project Management, Melbourne, Australia.
C3 Royal Melbourne Institute of Technology (RMIT); Royal Melbourne
   Institute of Technology (RMIT); Royal Melbourne Institute of Technology
   (RMIT)
RP Vahanvati, M (corresponding author), Royal Melbourne Inst Technol RMIT, Sch Global Urban & Social Studies, Melbourne, Australia.
EM mittul.vahanvati@rmit.edu.au; darryn.mcevoy@rmit.edu.au;
   usha.iyer-raniga@rmit.edu.au
RI Vahanvati, Mittul/AAB-5546-2020; McEvoy, Darryn/K-8015-2017
OI Iyer-Raniga, Usha/0000-0002-3088-8739
CR Ahmed I., 2015, 5 INT C BUILD RES U, P490
   Aleksandrova M., 2021, WORLD RISK REPORT
   [Anonymous], 2018, Economic Losses, Poverty and Disasters 1998-2017
   [Anonymous], 2020, Human Development Reports
   Barakat Sultan., 2003, Housing reconstruction after conflict and disaster
   Charlesworth E., 2015, SUSTAINABLE HOUSING
   Davis I., 1978, SHELTER DISASTER
   Davis I., 2015, SHELTER DISASTER, Vsecond
   GFDRR SPC and The World Bank, 2015, PAC CAT RISK ASS FIN
   Hawkins K., 2017, RADIO NZ
   Iyer-Raniga U., 2020, NO POVERTY ENCY UN S
   Jones P., 2011, AS PAC NETW HOUS RES
   Keen M., 2016, FLOODS URBAN DISPLAC, V13
   Kiddle G.L., 2017, INFORM SETTLEMENT UP
   Masson-Delmotte V., 2021, Climate Change 2021: the physical science basis, P3
   Mukhier M., 2012, UNDERSTANDING COMMUN
   O'Brien D., 2012, 8 ANN C INT I INFR R
   OLIVERSMITH A, 1990, DISASTERS, V14, P7, DOI 10.1111/j.1467-7717.1990.tb00968.x
   PACCSAP and Solomon Islands Meteorological Services, 2015, CURR FUT CLIM SOL IS
   Roser Max, 2020, The Short History of Global Living Conditions and Why It Matters That We Know It
   Sanderson D, 2017, ENVIRON URBAN, V29, P349, DOI 10.1177/0956247817717422
   Schilderman T., 2014, STILL STANDING LOOKI
   Solomon Islands National Statistics Office, 2021, POPULATION
   SPC SPREP PIFS UNDP UNISDR and USP, 2016, 20172030 FRDP
   Trundle A., 2016, HONIARA URBAN RESILI
   Trundle A, 2019, ENVIRON URBAN, V31, P53, DOI 10.1177/0956247818816654
   Turner JohnF., 1976, Housing by People: Towards Autonomy in Building Environments
   UN, 2022, SDG 11-Make Cities and Human Settlements Inclusive, Safe, Resilient, and Sustainable
   UN-Habitat, 2021, HOUS HUM RIGHTS
   UN-Habitat, 2015, HOUS CTR NEW URB AG
   UN-Habitat, 2022, URB INF EC AL BROWN
   UN-Habitat and CLGF, 2015, PAC URB FOR 2015 NEW
   Urban Settlements Working Group, 2020, SETTL APPR GUID NOT
   Vahanvati M., 2022, INCLUSIVE DISASTER R, DOI [10.25439/rmt.19094600.v3, DOI 10.25439/RMT.19094600.V3]
   Vahanvati M, 2018, DISASTER PREV MANAG, V27, P421, DOI 10.1108/DPM-11-2017-0285
   Webb S., 2020, MULTISECTORAL SHELTE
   Wolff CG, 2001, BRIT MED J, V322, P1209, DOI 10.1136/bmj.322.7296.1209
   World Bank, 2022, POP LIV SLUMS URB PO
NR 38
TC 0
Z9 0
U1 1
U2 9
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 1759-5908
EI 1759-5916
J9 INT J DISASTER RESIL
JI Int. J. Disaster Resil. Built Environ.
PD NOV 2
PY 2023
VL 14
IS 4
SI SI
BP 577
EP 590
DI 10.1108/IJDRBE-10-2022-0098
EA APR 2023
PG 14
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA W9KI6
UT WOS:000960980200001
DA 2025-01-10
ER

PT J
AU Napier, JD
   Grabowski, PP
   Lovell, JT
   Bonnette, J
   Mamidi, S
   Gomez-Hughes, MJ
   VanWallendael, A
   Weng, XY
   Handley, LH
   Kim, MK
   Boe, AR
   Fay, PA
   Fritschi, FB
   Jastrow, JD
   Lloyd-Reilley, J
   Lowry, DB
   Matamala, R
   Mitchell, RB
   Rouquette, FM 
   Wu, YQ
   Webber, J
   Jones, T
   Barry, K
   Grimwood, J
   Schmutz, J
   Juenger, TE
AF Napier, Joseph D.
   Grabowski, Paul P.
   Lovell, John T.
   Bonnette, Jason
   Mamidi, Sujan
   Gomez-Hughes, Maria Jose
   VanWallendael, Acer
   Weng, Xiaoyu
   Handley, Lori H.
   Kim, Min K.
   Boe, Arvid R.
   Fay, Philip A.
   Fritschi, Felix B.
   Jastrow, Julie D.
   Lloyd-Reilley, John
   Lowry, David B.
   Matamala, Roser
   Mitchell, Robert B.
   Rouquette, Francis M., Jr.
   Wu, Yanqi
   Webber, Jenell
   Jones, Teresa
   Barry, Kerrie
   Grimwood, Jane
   Schmutz, Jeremy
   Juenger, Thomas E.
TI A generalist-specialist trade-off between switchgrass cytotypes impacts
   climate adaptation and geographic range
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE cytotypes; octoploid; Panicum virgatum
ID PANICUM-VIRGATUM; EVOLUTIONARY CONSEQUENCES; R-PACKAGE; POLYPLOIDY;
   POPULATION; ALIGNMENT; PLOIDY; HYBRIDIZATION; ASSOCIATION; DIVERSITY
AB Polyploidy results from whole-genome duplication and is a unique form of heritable variation with pronounced evolutionary implications. Different ploidy levels, or cytotypes, can exist within a single species, and such systems provide an opportunity to assess how ploidy variation alters phenotypic novelty, adaptability, and fitness, which can, in turn, drive the development of unique ecological niches that promote the coexistence of multiple cytotypes. Switchgrass, Panicum virgatum, is a widespread, perennial C4 grass in North America with multiple naturally occurring cytotypes, primarily tetraploids (4x) and octoploids (8x). Using a combination of genomic, quantitative genetic, landscape, and niche modeling approaches, we detect divergent levels of genetic admixture, evidence of niche differentiation, and differential environmental sensitivity between switchgrass cytotypes. Taken together, these findings support a generalist (8x)-specialist (4x) trade-off. Our results indicate that the 8x represent a unique combination of genetic variation that has allowed the expansion of switchgrass' ecological niche and thus putatively represents a valuable breeding resource.
C1 [Napier, Joseph D.; Bonnette, Jason; Gomez-Hughes, Maria Jose; Weng, Xiaoyu; Juenger, Thomas E.] Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 USA.
   [Grabowski, Paul P.; Lovell, John T.; Mamidi, Sujan; Handley, Lori H.; Kim, Min K.; Webber, Jenell; Jones, Teresa; Grimwood, Jane; Schmutz, Jeremy] HudsonAlpha Inst Biotechnol, Genome Sequencing Ctr, Huntsville, AL 35806 USA.
   [VanWallendael, Acer; Lowry, David B.] Michigan State Univ, Dept Plant Biol, E Lansing, MI 48824 USA.
   [Boe, Arvid R.] South Dakota State Univ, Dept Agron Hort & Plant Sci, Brookings, SD 57007 USA.
   [Fay, Philip A.] USDA ARS, Grassland Soil & Water Res Lab, Temple, TX 76502 USA.
   [Fritschi, Felix B.] Univ Missouri, Div Plant Sci & Technol, Columbia, MO 65211 USA.
   [Jastrow, Julie D.; Matamala, Roser] Argonne Natl Lab, Environm Sci Div, Lemont, IL 60439 USA.
   [Lloyd-Reilley, John] USDA, Nat Resources Conservat Serv, Kika Garza Plant Mat Ctr, Kingsville, TX 78363 USA.
   [Mitchell, Robert B.] USDA ARS, Wheat Sorghum & Forage Res Unit, Lincoln, NE 68583 USA.
   [Rouquette, Francis M., Jr.] Texas A&M Univ, Texas A&M AgriLife Res & Extens Ctr, Overton, TX 75684 USA.
   [Wu, Yanqi] Oklahoma State Univ, Dept Plant & Soil Sci, Stillwater, OK 74078 USA.
   [Barry, Kerrie; Schmutz, Jeremy] Lawrence Berkeley Natl Lab, US DOE, Joint Genome Inst, Berkeley, CA 94720 USA.
C3 University of Texas System; University of Texas Austin; HudsonAlpha
   Institute for Biotechnology; Michigan State University; South Dakota
   State University; United States Department of Agriculture (USDA);
   University of Missouri System; University of Missouri Columbia; United
   States Department of Energy (DOE); Argonne National Laboratory; United
   States Department of Agriculture (USDA); United States Department of
   Agriculture (USDA); Texas A&M University System; Oklahoma State
   University System; Oklahoma State University - Stillwater; United States
   Department of Energy (DOE); Joint Genome Institute - JGI; Lawrence
   Berkeley National Laboratory
RP Napier, JD; Juenger, TE (corresponding author), Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 USA.; Schmutz, J (corresponding author), HudsonAlpha Inst Biotechnol, Genome Sequencing Ctr, Huntsville, AL 35806 USA.; Schmutz, J (corresponding author), Lawrence Berkeley Natl Lab, US DOE, Joint Genome Inst, Berkeley, CA 94720 USA.
EM Joseph.Napier@austin.utexas.edu; jschmutz@hudsonalpha.org;
   tjuenger@austin.utexas.edu
RI Schmutz, Jeremy/N-3173-2013; Wu, Yanqi/N-8180-2016; Weng,
   Xiaoyu/J-4899-2019; Grimwood, Jane/ABD-5737-2021; Fay,
   Philip/I-1853-2012; Jastrow, Julie/AAX-1631-2020; Barry,
   Kerrie/AAA-5500-2020; mamidi, sujan/P-7009-2018
OI Jastrow, Julie/0000-0001-7069-4560; Weng, Xisheng/0000-0002-6021-1462;
   Matamala, Roser/0000-0001-5552-9807; VanWallendael,
   Acer/0000-0002-3900-2818; Barry, Kerrie/0000-0002-8999-6785; weng,
   xiaoyu/0000-0002-3831-7551; mamidi, sujan/0000-0002-3837-6121; Gomez
   Hughes, Maria Jose/0000-0002-0256-0971; Wu, Yanqi/0000-0003-0802-6881;
   Grabowski, Paul/0000-0002-4372-0847
FU US Department of Energy, Office of Science, Office of Biological and
   Environmental Research, Genomic Science Program [DEAC02-06CH11357,
   DE-SC0014156, DE-SC0021126, DE-SC0017883]; Office of Science of the US
   Department of Energy [DEAC02-05CH11231]; Great Lakes Bioenergy Research
   Center, US Department of Energy, Office of Science, Office of Biological
   and Environmental Research [DE-SC0018409]; USDA-ARS; U.S. Department of
   Energy (DOE) [DE-SC0017883, DE-SC0021126] Funding Source: U.S.
   Department of Energy (DOE)
FX We thank J. Randall (North Carolina Botanical Garden), M. Casler (US
   Department of Agriculture-Agricultural Research Service [USDAARS]), A.
   Stottlemeyer (The Ohio State University Newark), and M. Harrison
   (Germplasm Resources Information Network) for generously sharing seed
   collections of switchgrass. We thank the HudsonAlpha Genomic Services
   Lab for loading Illumina X10 sequencing runs and the Joint Genome
   Institute (JGI) production group for sequencing library ASHOA. We are
   grateful for JGI sequencing capacity contributed to the community
   sequencing effort by the Bioenergy Research Centers through the
   Bioenergy Science Center led by the Oak Ridge National Laboratory. We
   thank Lisa Vormwald, Matthew Smith, Perla Dubeney, John Sanley, Nick
   Ryan, Todd Bortnem, Tim Vugteveen, Scott Hoffman, Matt Donahue, and
   Justin Shih for propagating, planting, and managing switchgrass field
   plantings. This research was supported by the US Department of Energy,
   Office of Science, Office of Biological and Environmental Research,
   Genomic Science Program Grants DE-SC0014156 and DE-SC0021126 (to T.E.J.)
   and DE-SC0017883 (to D.B.L.). The work (Proposal
   10.46936/10.25585/60001049) conducted by the US Department of Energy
   Joint Genome Institute is supported by the Office of Science of the US
   Department of Energy under Contract DEAC02-05CH11231. This material is
   based upon work supported in part by the Great Lakes Bioenergy Research
   Center, US Department of Energy, Office of Science, Office of Biological
   and Environmental Research under Award DE-SC0018409. The work conducted
   by Argonne National Laboratory is supported by the US Department of
   Energy, Office of Science, Office of Biological and Environmental
   Research, Genomic Science Program under Contract DEAC02-06CH11357. The
   field research was supported by the USDA-ARS, an equal opportunity
   employer.
CR Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
   Alix K, 2017, ANN BOT-LONDON, V120, P183, DOI 10.1093/aob/mcx079
   [Anonymous], 2007, ORNLTM2007109
   Baker H. G., 1965, The genetics of colonizing species: Proc. 1st Internat. Union biol Sci., Asilomar, California., P147
   Baniaga AE, 2020, ECOL LETT, V23, P68, DOI 10.1111/ele.13402
   Bardil A, 2011, NEW PHYTOL, V192, P760, DOI 10.1111/j.1469-8137.2011.03833.x
   Bi Y, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-19591-9
   Borcard D, 2011, USE R, P1, DOI 10.1007/978-1-4419-7976-6
   Bossdorf O, 2008, DIVERS DISTRIB, V14, P676, DOI 10.1111/j.1472-4642.2008.00471.x
   Bouckaert R, 2019, PLOS COMPUT BIOL, V15, DOI 10.1371/journal.pcbi.1006650
   Brittingham HA, 2018, AM J BOT, V105, P700, DOI 10.1002/ajb2.1046
   Broder AZ, 1998, COMPRESSION AND COMPLEXITY OF SEQUENCES 1997 - PROCEEDINGS, P21, DOI 10.1109/SEQUEN.1997.666900
   Casler MD, 2004, CROP SCI, V44, P293, DOI 10.2135/cropsci2004.2930
   Casler MD, 2007, CROP SCI, V47, P2261, DOI 10.2135/cropsci2006.12.0797
   Casler MD, 2015, CROP SCI, V55, P2463, DOI 10.2135/cropsci2015.02.0076
   Chang CC, 2015, GIGASCIENCE, V4, DOI 10.1186/s13742-015-0047-8
   Costich DE, 2010, PLANT GENOME-US, V3, P130, DOI 10.3835/plantgenome2010.04.0010
   Coughlan JM, 2017, MOL ECOL, V26, P5484, DOI 10.1111/mec.14331
   Danecek P, 2011, BIOINFORMATICS, V27, P2156, DOI 10.1093/bioinformatics/btr330
   Dierckxsens N, 2017, NUCLEIC ACIDS RES, V45, DOI 10.1093/nar/gkw955
   Elith J, 1998, QUANTITATIVE METHODS FOR CONSERVATION BIOLOGY, P39
   Fawcett T, 2006, PATTERN RECOGN LETT, V27, P861, DOI 10.1016/j.patrec.2005.10.010
   FELBER F, 1991, J EVOLUTION BIOL, V4, P195, DOI 10.1046/j.1420-9101.1991.4020195.x
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Forester BR, 2018, MOL ECOL, V27, P2215, DOI 10.1111/mec.14584
   Forester BR, 2016, MOL ECOL, V25, P104, DOI 10.1111/mec.13476
   Grabowski PP, 2014, MOL ECOL, V23, P4059, DOI 10.1111/mec.12845
   Gugger PF, 2013, MOL ECOL, V22, P3598, DOI 10.1111/mec.12317
   Hijmans RJ, 2007, GLOBAL ECOL BIOGEOGR, V16, P485, DOI 10.1111/j.1466-8238.2007.00308.x
   Huson DH, 2006, MOL BIOL EVOL, V23, P254, DOI 10.1093/molbev/msj030
   Johnson AL, 2014, BOT J LINN SOC, V176, P99, DOI 10.1111/boj.12190
   Jombart T., 2015, A tutorial for discriminant analysis of principal components (DAPC) using adegenet 2.0. 0
   Jombart T, 2008, BIOINFORMATICS, V24, P1403, DOI 10.1093/bioinformatics/btn129
   Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
   Kent WJ, 2002, GENOME RES, V12, P656, DOI [10.1101/gr.229202. Article published online before March 2002, 10.1101/gr.229202]
   Kirkpatrick M, 2015, MOL ECOL, V24, P2046, DOI 10.1111/mec.13074
   Koboldt DC, 2012, GENOME RES, V22, P568, DOI 10.1101/gr.129684.111
   Kolár F, 2017, TRENDS PLANT SCI, V22, P1041, DOI 10.1016/j.tplants.2017.09.011
   Leitch AR, 2008, SCIENCE, V320, P481, DOI 10.1126/science.1153585
   Levin D. A., 1975, Taxon, V24, P35, DOI 10.2307/1218997
   Levins R., 1968, Evolution in Changing Environments: Some Theoretical Explorations
   Li H, 2010, BIOINFORMATICS, V26, P589, DOI 10.1093/bioinformatics/btp698
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Lovell JT, 2021, NATURE, V590, P438, DOI 10.1038/s41586-020-03127-1
   Lowry DB, 2019, P NATL ACAD SCI USA, V116, P12933, DOI 10.1073/pnas.1821543116
   Lowry DB, 2014, AM NAT, V183, P682, DOI 10.1086/675760
   Lowry E, 2006, J BIOGEOGR, V33, P1975, DOI 10.1111/j.1365-2699.2006.01562.x
   Lu F, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003215
   Madlung A, 2013, Cytogenet Genome Res, V140, P270, DOI 10.1159/000351430
   Madlung A, 2013, HEREDITY, V110, P99, DOI 10.1038/hdy.2012.79
   Manzaneda AJ, 2012, NEW PHYTOL, V193, P797, DOI 10.1111/j.1469-8137.2011.03988.x
   Martin SL, 2013, EVOLUTION, V67, P1780, DOI 10.1111/evo.12065
   Martínez-Reyna JM, 2002, CROP SCI, V42, P1800, DOI 10.2135/cropsci2002.1800
   Mason AS, 2020, FRONT GENET, V11, DOI 10.3389/fgene.2020.01014
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   MCMILLAN C, 1959, AM J BOT, V46, P590, DOI 10.2307/2439303
   Meirmans PG, 2018, J HERED, V109, P283, DOI 10.1093/jhered/esy006
   Napier J. D., GENERALIST SPECIAL
   Okada M, 2010, GENETICS, V185, P745, DOI 10.1534/genetics.110.113910
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Ondov BD, 2016, GENOME BIOL, V17, DOI 10.1186/s13059-016-0997-x
   Ortiz Edgardo M, 2019, Zenodo
   Otto SP, 2007, CELL, V131, P452, DOI 10.1016/j.cell.2007.10.022
   Palik DJ, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154444
   Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
   Paradis E, 2019, BIOINFORMATICS, V35, P526, DOI 10.1093/bioinformatics/bty633
   Parisod C, 2010, NEW PHYTOL, V186, P5, DOI 10.1111/j.1469-8137.2009.03142.x
   PORTER CL, 1966, ECOLOGY, V47, P980, DOI 10.2307/1935646
   Purcell S, 2007, AM J HUM GENET, V81, P559, DOI 10.1086/519795
   Ramsey J, 1998, ANNU REV ECOL SYST, V29, P467, DOI 10.1146/annurev.ecolsys.29.1.467
   Ramsey J, 2002, ANNU REV ECOL SYST, V33, P589, DOI 10.1146/annurev.ecolsys.33.010802.150437
   Ramsey J, 2011, P NATL ACAD SCI USA, V108, P7096, DOI 10.1073/pnas.1016631108
   Rellstab C, 2015, MOL ECOL, V24, P4348, DOI 10.1111/mec.13322
   RILEY RD, 1982, CROP SCI, V22, P1082, DOI 10.2135/cropsci1982.0011183X002200050047x
   Sacks EJ, 2021, NATURE, V590, P394, DOI 10.1038/d41586-021-00212-x
   Sanderson MA, 1996, BIORESOURCE TECHNOL, V56, P83, DOI 10.1016/0960-8524(95)00176-X
   Schliep KP, 2011, BIOINFORMATICS, V27, P592, DOI 10.1093/bioinformatics/btq706
   Shin J.H., 2006, Journal of Statistical Software, V16, P1, DOI DOI 10.18637/JSS.V016.C03
   SOLTIS DE, 1995, EVOLUTION, V49, P727, DOI 10.1111/j.1558-5646.1995.tb02309.x
   Soltis PS, 2015, CURR OPIN GENET DEV, V35, P119, DOI [10.1016/j.gde.2015.11.003, 10.1016/j.pbi.2005.01.001]
   Soltis PS, 2000, P NATL ACAD SCI USA, V97, P7051, DOI 10.1073/pnas.97.13.7051
   STEBBINS GL, 1985, ANN MO BOT GARD, V72, P824, DOI 10.2307/2399224
   te Beest M, 2012, ANN BOT-LONDON, V109, P19, DOI 10.1093/aob/mcr277
   Treier UA, 2009, ECOLOGY, V90, P1366, DOI 10.1890/08-0420.1
   Triplett JK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038702
   Van VALEN LEIGH, 1965, AMER NATUR, V99, P377, DOI 10.1086/282379
   VanWallendael A, 2022, MOL ECOL RESOUR, V22, P612, DOI 10.1111/1755-0998.13499
   Wang C, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.653183
   Warren DL, 2008, EVOLUTION, V62, P2868, DOI 10.1111/j.1558-5646.2008.00482.x
   Warren DL, 2021, ECOGRAPHY, V44, P504, DOI 10.1111/ecog.05485
   Warren DL, 2019, ECOGRAPHY, V42, P444, DOI 10.1111/ecog.03900
   Warren DL, 2014, TRENDS ECOL EVOL, V29, P572, DOI 10.1016/j.tree.2014.08.003
   Weiss CL, 2018, BMC BIOINFORMATICS, V19, DOI 10.1186/s12859-018-2128-z
   Yu GC, 2017, METHODS ECOL EVOL, V8, P28, DOI 10.1111/2041-210X.12628
   Zhang YW, 2011, CROP SCI, V51, P2626, DOI 10.2135/cropsci2011.02.0104
NR 95
TC 8
Z9 8
U1 3
U2 24
PU NATL ACAD SCIENCES
PI WASHINGTON
PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA
SN 0027-8424
EI 1091-6490
J9 P NATL ACAD SCI USA
JI Proc. Natl. Acad. Sci. U. S. A.
PD APR 12
PY 2022
VL 119
IS 15
AR e2118879119
DI 10.1073/pnas.2118879119
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 0W9VR
UT WOS:000789366600001
PM 35377798
OA hybrid, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Jordhus-Lier, D
   Saaghus, A
   Scott, D
   Ziervogel, G
AF Jordhus-Lier, David
   Saaghus, Andreas
   Scott, Dianne
   Ziervogel, Gina
TI Adaptation to flooding, pathway to housing or 'wasteful expenditure'?
   Governance configurations and local policy subversion in a flood-prone
   informal settlement in Cape Town
SO GEOFORUM
LA English
DT Article
DE Adaptation; Flood mitigation; Informal settlements; Urban govemance;
   Decision making; Upgrading
ID CLIMATE-CHANGE; VULNERABILITY; STATE; CONTRADICTIONS; POLITICS; CITIES
AB This paper responds to the call by Wise et al. (2014) to improve our understanding of decisions related to urban climate adaptation by situating policy interventions in a broader governance context. To develop this argument we use a qualitative case study from Cape Town, South Africa of a local government intervention in an informal settlement suffering from annual flooding. The intervention took the form of gravel platforms raising the ground on which residential dwellings were located. We argue that the meaning and purpose of this intervention have been shaped by multiple social agendas promoted by various actors, producing a contested result and arguably impacting on the potential of the intervention to serve as a pathway to increased adaptive capacity. In addition to the notion of adaptive pathways, we draw on the notions of governance configuration and local policy subversion to explain the case in question.
C1 [Jordhus-Lier, David; Saaghus, Andreas] Univ Oslo, Dept Sociol & Human Geog, Oslo, Norway.
   [Scott, Dianne] Univ Cape Town, African Ctr Cities, Cape Town, South Africa.
   [Ziervogel, Gina] Univ Cape Town, Dept Environm & Geog Sci, Cape Town, South Africa.
   [Ziervogel, Gina] Univ Cape Town, African Climate & Dev Initiat, Cape Town, South Africa.
C3 University of Oslo; University of Cape Town; University of Cape Town;
   University of Cape Town
RP Jordhus-Lier, D (corresponding author), Univ Oslo, Dept Sociol & Human Geog, Oslo, Norway.
EM david.jordhus-lier@sosgeo.uio.no; gina@csag.uct.ac.za
RI Ziervogel, Gina/AAG-2945-2019
OI Ziervogel, Gina/0000-0003-4219-6809
FU South African-Norway Cooperation Program (SANCOOP) of the Research
   Council of Norway - Norwegian Ministry of Foreign Affairs [234206]
FX The work was supported by the South African-Norway Cooperation Program
   (SANCOOP) of the Research Council of Norway and funded by the Norwegian
   Ministry of Foreign Affairs (grant number 234206). The authors are
   grateful for the thorough engagement by the editor and two anonymous
   reviewers which has helped to sharpen the analysis presented in this
   text. Any errors remain the responsibility of the authors.
CR Adegun OB, 2015, ENVIRON URBAN, V27, P407, DOI 10.1177/0956247815569700
   Barnes M, 2009, SUBVERSIVE CITIZENS: POWER, AGENCY AND RESISTANCE IN PUBLIC SERVICES, P1, DOI 10.1332/policypress/9781847422088.001.0001
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Betsill MM, 2006, GLOBAL GOV, V12, P141, DOI 10.1163/19426720-01202004
   Bolnick A., 2010, UPGRADING INFORMAL S
   Braun BP, 2014, ENVIRON PLANN D, V32, P49, DOI 10.1068/d4313
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Brenner Neil., 2005, City: Analysis of Urban Trends, Theory, Policy, Action, V9, P101, DOI [DOI 10.1080/13604810500092106, 10.1080/13604810500092106]
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Burnham M, 2018, WORLD DEV, V108, P231, DOI 10.1016/j.worlddev.2018.04.014
   CCA Environmental, 2009, HER IMP ASS ARCH CUL
   City of Cape Town, 2016, CIT CAP TOWN INT HUM
   Colenbrander D., 2016, EXPLORING ROLE BUREA
   CORC FEDUP & I, 2014, GREEN PARK HOUS EN R
   Daraghma A., 2009, CONSTRUCTION NATURE
   Department of Energy, 2015, POL GUID EL UNPR AR
   Desportes I, 2016, S AFR GEOGR J, V98, P61, DOI 10.1080/03736245.2015.1052842
   Drivdal L, 2016, S AFR GEOGR J, V98, P21, DOI 10.1080/03736245.2015.1052839
   Dupont V, 2016, ROU STUD CIT DEVELOP, P1
   Fazey I, 2018, CLIM DEV, V10, P197, DOI 10.1080/17565529.2017.1301864
   Fazey I, 2016, CLIM DEV, V8, P26, DOI 10.1080/17565529.2014.989192
   Gillard R, 2016, WIRES CLIM CHANGE, V7, P251, DOI 10.1002/wcc.384
   Gorddard R, 2016, ENVIRON SCI POLICY, V57, P60, DOI 10.1016/j.envsci.2015.12.004
   Green Duncan., 2012, POVERTY POWER ACTIVE
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Huchzermeyer M., 2006, Informal Settlements: A Perpetual Challenge
   Huchzermeyer Marie., 2011, Cities with Slums: From Informal Settlement Eradication to a Right to the City in Africa
   Inderberg TH, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P433
   Jacobs F., 2015, Urban Forum, V26, P425, DOI [DOI 10.1007/S12132-015-9258-4, 10.1007/s12132-015-9258-4]
   Jordhus-Lier DC, 2012, GEOGR COMPASS, V6, P423, DOI 10.1111/j.1749-8198.2012.00496.x
   Joshi A, 2012, PUBLIC MANAG REV, V14, P145, DOI 10.1080/14719037.2012.657837
   Kornienko K, 2017, J ASIAN AFR STUD, V52, P34, DOI 10.1177/0021909614560243
   Kuhne B., 2015, THESIS
   Lipsky M, 2010, STREET-LEVEL BUREAUCRACY: DILEMMAS OF THE INDIVIDUAL IN PUBLIC SERVICES, 30TH EDITION, P1
   McFarlane C, 2009, GEOFORUM, V40, P561, DOI 10.1016/j.geoforum.2009.05.003
   Miraftab F, 2005, J PLAN EDUC RES, V25, P200, DOI 10.1177/0739456X05282182
   Misra K, 2014, WATER ALTERN, V7, P15
   Nelson LS, 1998, SOC SCI J, V35, P477
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Oldfield S, 2015, ENVIRON PLANN A, V47, P1100, DOI 10.1177/0308518X15592309
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Peyroux E., 2014, Spatial Knowledge Management and Participatory Governance: Rethinking the Trajectories of Urban
   Ribot J, 2014, J PEASANT STUD, V41, P667, DOI 10.1080/03066150.2014.894911
   Romero-Lankao P, 2018, NAT CLIM CHANGE, V8, P754, DOI 10.1038/s41558-018-0264-0
   Saaghus, 2016, FLOODING FORMALIZATI
   Seeliger L, 2013, ENVIRON URBAN, V26, P184
   Seeliger L, 2013, SUSTAINABILITY-BASEL, V5, P2108, DOI 10.3390/su5052108
   South African SDI Alliance, 2015, CORC ANN REP 2015
   Tschakert P, 2013, CLIM DEV, V5, P340, DOI 10.1080/17565529.2013.828583
   van Asselt MBA, 2011, J RISK RES, V14, P431, DOI 10.1080/13669877.2011.553730
   van Zeijl-Rozema A, 2008, SUSTAIN DEV, V16, P410, DOI 10.1002/sd.367
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Ziervogel G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090955
   Ziervogel G, 2016, S AFR GEOGR J, V98, P1, DOI 10.1080/03736245.2014.924867
NR 54
TC 24
Z9 25
U1 0
U2 21
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 JAN
PY 2019
VL 98
BP 55
EP 65
DI 10.1016/j.geoforum.2018.09.029
PG 11
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA HM5PD
UT WOS:000459526700006
DA 2025-01-10
ER

PT J
AU Sheller, M
AF Sheller, Mimi
TI Caribbean futures in the offshore Anthropocene: Debt, disaster, and
   duration
SO ENVIRONMENT AND PLANNING D-SOCIETY & SPACE
LA English
DT Article
DE Caribbean Theory; Climate Change; Hurricanes; Islands; Futuring
ID MOBILITY SYSTEMS
AB The devastating impacts of Hurricanes Irma and Maria across the Caribbean (especially in Barbuda, Dominica, Puerto Rico, St Martin/St Maarten, and parts of the British and US Virgin Islands) are haunting harbingers of a world of climate disaster, halting recovery, and impossible futures. Being at the leading edge of the global capitalist exploitation of people and other living and non-living beings in a world-spanning system of vast inequity and severe injustice, Caribbean thinkers, writers, poets, philosophers, activists, and artists have long lived with, dwelt upon, and offered answers to the problem of being human after Man, as Sylvia Wynter puts it. This reflection on island futuring and defuturing offers a critical analysis of Caribbean "disaster recovery" and "climate adaptation" based on an understanding of the disjuncture between three uneven spatio-temporal realities: (1) the decelerating "islanding effects" of debt, foreign aid, and austerity; (2) the accelerating mobilities of the "offshore" and extended operational landscapes of "planetary urbanization"; and (3) the durational im/mobilities of Amerindian survival, Maroon escape, and Black/Indigenous cultural endurance of alternative ontologies.
C1 [Sheller, Mimi] Drexel Univ, Sociol, Philadelphia, PA 19104 USA.
   [Sheller, Mimi] Drexel Univ, Ctr Mobil Res & Policy, Philadelphia, PA 19104 USA.
C3 Drexel University; Drexel University
RP Sheller, M (corresponding author), Drexel Univ, Philadelphia, PA 19104 USA.
EM mimi.sheller@drexel.edu
RI Sheller, Mimi/X-3023-2019
OI Sheller, Mimi/0000-0001-9097-9563
CR [Anonymous], 2009, ISL STUD J
   [Anonymous], WASHINGTON POST
   [Anonymous], 2015, City, DOI [10.1080/13604813.2015.1014712, DOI 10.1080/13604813.2015.1014712]
   Arboleda M, 2016, INT J URBAN REGIONAL, V40, P96, DOI 10.1111/1468-2427.12290
   Arboleda M, 2015, GEOFORUM, V67, P4, DOI 10.1016/j.geoforum.2015.09.016
   Aronoff K., 2017, THE INTERCEPT
   Bonilla Yarimar., 2017, The Washington Post
   Brenner N., 2014, ENVIRON PLANN, V36, P570
   DeLoughrey E, 2007, ROUTES AND ROOTS
   Du Bois W.E.B., 1998, Black Reconstruction in America 1860-1880
   Dunlap RileyE., 2015, Climate Change and Society: Sociological Perspectives, DOI DOI 10.1093/ACPROF:OSO/9780199356102.003.0010
   Enloe C, 2000, BANANAS BASES BEACHE
   Escobar A, 2017, New Ecol Twenty Firs, P202
   Figueroa E, 2008, JAMAICA SALE PRODUCE
   Figueroa E, 2018, FLY ME MOON PRODUCED
   Giorgi F, 2006, GEOPHYS RES LETT, V3333
   Global Weather Oscillations Inc, 2017, HURR TROP STORM LAND
   GOJ/EU/UNEP, 2013, EU CLIM CHANG JAM
   Gonzalez J.E., 2017, EOS T AM GEOPHYS UN, V98, DOI DOI 10.1029/2017EO071975
   Grove RichardH., 1995, Green Imperialism: Colonial Expansion, Tropical Island Edens and the Origins of Environmentalism, 1600-1860
   Hall S, 2003, COMMUNICATION
   Haraway Donna, 2016, A/b: Autobiography Studies, DOI DOI 10.1080/08989575.2019.1664163
   Kamugisha A, 2013, SMALL AXE, V17, P43, DOI 10.1215/07990537-2323310
   Kamugisha A, 2016, SMALL AXE, V20, P129, DOI 10.1215/07990537-3481414
   Kipfer S., 2014, Em Implosions/Explosions, P288
   Kipfer S, 2017, ENVIRON PLANN D, V36, P474
   Kipfer S, 2013, HIST MATER, V21, P76, DOI 10.1163/1569206X-12341297
   Klein N., 2007, The Shock Doctrine: The Rise of Disaster Capitalism
   Klein Naomi., 2018, The Battle for Paradise: Puerto Rico Takes on the Disaster Capitalists
   McKittrick K., 2006, DEMONIC GROUNDS BLAC
   Negron-Muntaner F, 2018, CARIBBEAN SYLLABUS L
   Niland D, 2017, CARIBBEAN J
   Nixon Angelique., 2015, RESISTING PARADISE T
   Nixon R., 2011, Slow Violence and the Environmentalism of the Poor
   Roberts BrianRussell., 2017, Archipelagic American Studies
   Rojo AntonioBenitez., 1996, REPEATING ISLAND CAR
   Schoen J, 2017, HERES OBSCURE TAX CH
   Sharpe Christina., 2016, WAKE BLACKNESS BEING, DOI DOI 10.1515/9780822373452
   Sheller M, 2014, ALUMINUM DREAMS: THE MAKING OF LIGHT MODERNITY, P1
   Sheller M, 2019, ISLAND FUTURES
   Sheller M, ARCHIPELAGIC THINKIN
   Sheller M, 2007, SMALL AXE, V11, P16, DOI 10.1215/-11-3-16
   Sheller M, 2013, CULT GEOGR, V20, P185, DOI 10.1177/1474474012438828
   Sheller M, 2009, ENVIRON PLANN A, V41, P1386, DOI 10.1068/a41248
   Sheller M, 2009, SINGAPORE J TROP GEO, V30, P189, DOI 10.1111/j.1467-9493.2009.00365.x
   Sheller Mimi., 2018, MOBILITY JUSTICE POL
   Spillers Hortense., 2003, BLACK WHITE COLOR ES
   Stephens M, 2013, SMALL AXE, V17, P8, DOI 10.1215/07990537-2323292
   Taylor Matthew., 2017, Guardian
   Teaiwa TK, 2007, A WORLD OF ISLANDS
   Trouillot M.R., 2003, GLOBAL TRANSFORMATIO
   Ulysse GinaAthena., 2015, Why Haiti Needs New Narratives: A Post-Quake Chronicle
   Urry J., 2007, Mobilities
   Wehiley AlexanderG., 2014, Habeas Viscus: Racializing Assemblages, Biopolitics and Black Feminist Theories of the Human
   Wilson J., 2015, Human Geography, V8, P1, DOI DOI 10.1177/194277861500800301
   Wynter S, 2003, CR-NEW CENTEN REV, V3, P257, DOI 10.1353/ncr.2004.0015
   Yeampierre Elizabeth., 2017, The Intercept
NR 57
TC 29
Z9 32
U1 0
U2 25
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0263-7758
EI 1472-3433
J9 ENVIRON PLANN D
JI Environ. Plan. D-Soc. Space
PD DEC
PY 2018
VL 36
IS 6
BP 971
EP 986
DI 10.1177/0263775818800849
PG 16
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA HD1KS
UT WOS:000452269500001
DA 2025-01-10
ER

PT C
AU Ron, G
   Shallaby, S
   Antonako, T
AF Ron, Gili
   Shallaby, Sara
   Antonako, Theofano
BE KepczynskaWalczak, A
   Bialkowski, S
TI On-Site Fabrication and Assembly for Arid Region Settlements
SO ECAADE 2018: COMPUTING FOR A BETTER TOMORROW, VO 1
LA English
DT Proceedings Paper
CT 36th International Conference on Education and Research in Computer
   Aided Architectural Design in Europe (eCAADe)
CY SEP 17-21, 2018
CL Lodz Univ Technol, Fac Civil Engn Architecture & Environml Engn, Lodz,
   POLAND
SP Minist Sci & Higher Educ, Autodesk Inc, GRAPHISOFT SE, Vectorworks, Bentley Syst Inc
HO Lodz Univ Technol, Fac Civil Engn Architecture & Environml Engn
DE Material System; Vernacular Architecture; Digital Morphogenesis;
   Topological Interlocking; Robotic Fabrication; Robotic Assembly
ID SULFUR
AB With fast growing population rates and the further desertification of the global climate, desert regions, covering one fifth of the world's surface, provide an opportunity for future habitats. However, their extreme climatic conditions and remoteness pose a planning challenge, currently addressed with prefabrication and layered design; wasteful and costly solutions. This article proposes a bespoke design, fabrication and assembly process: performed in-situ with using local resources and novel automation. The research addresses challenges in on-site robotic forming and assembly of mono-material discrete elements, made in waterless concrete of sand-Sulphur composite. The formed components are examined in formwork-free assembly of wall and arch, with Pick & Place tool-path. The component's design incorporates topological and osteomorphic interlocking, facilitating structural integrity, as well as self-shading and passive cooling, to fit with local climate. This work culminates in a design proposal for constructing desert habitats, climatically adapted for Zagora oasis in the Moroccan Sahara: a remote site of hyper-arid climate.
C1 [Ron, Gili; Shallaby, Sara; Antonako, Theofano] Architectural Assoc, London, England.
RP Ron, G (corresponding author), Architectural Assoc, London, England.
EM giliron.space@gmail.com; sarah-shallaby@hotmail.com;
   fan_antonako@hotmail.com
CR [Anonymous], FORMAKADEMISK
   [Anonymous], 2000, Sands, Powders and Grains
   ANTHONY EJ, 2015, HDB MINERALOGY, V5, DOI DOI 10.1038/SREP14745
   Anthony J.W., 2003, HDB MINERALOGY, VII
   Ariza I., 2015, 19 CONGRESSO SOCIEDA
   Augugliaro F, 2014, IEEE CONTR SYST MAG, V34, P46, DOI 10.1109/MCS.2014.2320359
   Block P, 2015, ARCHIT DESIGN, V85, P74, DOI 10.1002/ad.1957
   Bonwetsch FG, 2012, R O B BESPOKE BUILDI
   Darnell G.R., 1992, GRD2992 ID NAT ENG L, P1
   Deuss M, 2014, ACM T GRAPHIC, V33, DOI 10.1145/2661229.2661266
   Dixon J., 2001, FARMING SYSTEMS POVE
   Estrin Y, 2001, MATER SCI ENG, V31, P1189
   F Gramazio MK, 2014, ROBOTIC TOUCH ROBOTS
   FATHY H., 1986, NATURAL ENERGY VERNA
   Gilles Retsin MJG, 2017, DISCRETE COMPUTATION
   Groover MP, 1996, FUNDAMENTAL MODERN M
   Hakim BS, 2007, ARCHNET-IJAR, V1, P153
   Helm V, 2014, IN SITU FABRICATION
   Hensel M, 2012, DIGITAL TURN ARCHITE, P158
   Hensel M., 2013, Emergent technologies and design: Towards a biological paradigm for architecture
   Kaltenbach F., 2017, DETAIL MAGAZIN ARCHI, V6, P1
   Kershaw GP, 1996, ARCTIC, V49, P328
   Khoukhi M, 2012, INT J ENERGY ENVIR E, V3, DOI 10.1186/2251-6832-3-5
   Laity J., 2008, DESERTDESERT ENV
   Lee SH, 2014, MATERIALS, V7, P4739, DOI 10.3390/ma7064739
   Leland JC, 2017, SCI ROBOT, V26, P1
   Meir IE, 2002, THERMAL COMFORT THER
   Menges A, 2011, TIME ARCHITECTURE, V6, P118
   Minke G., 2013, BUILDING EARTH DESIG
   Mohamed MAA, 2010, 7 INT C SUST ARCH UR
   Parascho S, 2017, COOPERATIVE FABRICAT
   Ratha D, 2006, 2 INT C MIGR REM
   Rybczynski W, 1974, SULFUR CONCRETE VERY
   Samarai M.A., 1985, Materials and Structures, V18, P57
   Scott K, 1999, CHEM ENG J, V73, P101, DOI 10.1016/S1385-8947(99)00023-6
   Shokry HM, 2009, ARCC LEADERSHIP ARCH, P15
   Skiba S, 2008, PRACE GEOGRAFICZNE, P37
   Tawfiq MF, 1982, ARAB J SCI ENG, V7, P21
   Toutanji H, 2009, PERFORMANCE WATERLES
   Wan L., 2016, CONSTR BUILD MATER, P1
   Weizmann M., 2015, topological interlocking in Architectur-al design
   Yuan R. L., 1993, 5482R93 ACI
NR 42
TC 1
Z9 1
U1 0
U2 1
PU ECAADE-EDUCATION & RESEARCH COMPUTER AIDED ARCHITECTURAL DESIGN EUROPE
PI BRUSSELS
PA DEPT ARCHITECTURE SINT-LUCAS BRUSSELS-GHENT, HOGESCHOOL VOOR WETENSCHAP
   & KUNST, PALEIZENSTRAAT 65, BRUSSELS, 1030, BELGIUM
BN 978-94-91207-15-0
PY 2018
BP 801
EP 810
PG 10
WC Computer Science, Software Engineering
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science
GA BO2QO
UT WOS:000507565700096
DA 2025-01-10
ER

PT J
AU Akerlof, KL
   Rowan, KE
   La Porte, T
   Batten, BK
   Ernst, H
   Sklarew, DM
AF Akerlof, Karen L.
   Rowan, Katherine E.
   La Porte, Todd
   Batten, Brian K.
   Ernst, Howard
   Sklarew, Dann M.
TI Risky business: Engaging the public on sea level rise and inundation
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Sea level rise; Risk perception; Deliberation; Communication; Public
   opinion; Climate adaptation
ID CLIMATE-CHANGE; NONRESPONSE BIAS; ADAPTATION; DELIBERATION; PERCEPTIONS;
   PARTICIPATION; ENGAGEMENT; WORLDVIEWS; DEMOCRACY; SCIENCE
AB To examine whether U.S. public opinion may become as sharply polarized on adaptation responses as it has been on mitigation policies, we surveyed a sample of urban coastal residents in Maryland (n=378). We then tested the impact of a community deliberative event (n=40) with small-group sea level rise discussions as a depolarization strategy. Cultural worldviews which contribute to politically polarized beliefs about climate were predictive of perceptions of sea level rise risk. Living close to flooding hazards. also significantly predicted respondents' perceptions of household or neighborhood risks, but not of risks to the entire county. The event significantly increased topic knowledge among all participants and, among those with a worldview predisposing them to lower risk perceptions, significantly increased problem identification and concern about impacts. These results suggest small-group deliberation focused on local problem-solving may be an effective tool for reducing the polarizing effects of cultural worldviews on decision-making. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Akerlof, Karen L.; Sklarew, Dann M.] George Mason Univ, Dept Environm Sci & Policy, Fairfax, VA 22030 USA.
   [Rowan, Katherine E.] George Mason Univ, Dept Commun, Fairfax, VA 22030 USA.
   [La Porte, Todd] George Mason Univ, Sch Policy Govt & Int Affairs, Fairfax, VA 22030 USA.
   [Ernst, Howard] US Naval Acad, Dept Polit Sci, Annapolis, MD 21402 USA.
   [Akerlof, Karen L.] George Mason Univ, Ctr Climate Change Commun, Fairfax, VA 22030 USA.
C3 George Mason University; George Mason University; George Mason
   University; United States Department of Defense; United States Navy;
   United States Naval Academy; George Mason University
RP Akerlof, KL (corresponding author), George Mason Univ, Dept Environm Sci & Policy, Fairfax, VA 22030 USA.; Akerlof, KL (corresponding author), George Mason Univ, Ctr Climate Change Commun, Fairfax, VA 22030 USA.
EM kakerlof@gmu.edu
RI Akerlof, Karen/ITT-4145-2023; Sklarew, Daniel/R-6132-2018
OI Sklarew, Dann/0000-0003-2107-9144; Akerlof, Karen/0000-0002-7756-2197
FU Mid-Atlantic Sea Grant; Virginia Sea Grant (VASG)
FX This work was supported by Mid-Atlantic Sea Grant, and Virginia Sea
   Grant (VASG). Funding did not influence the study's design,
   implementation, analysis, writing, or interpretation. We wish to thank:
   Dan Nataf, Center for the Study of Local Issues, Anne Arundel Community
   College, for assistance in executing the survey; Cecily Cutshall and
   Courtney Burkey for facilitation of the community discussion; Mohan
   Rajasekar of Dewberry for developing the SLR viewer; and Cliff Sutton,
   Director of the George Mason University Statistical Consulting Center.
CR Abroms LC, 2008, ANNU REV PUBL HEALTH, V29, P219, DOI 10.1146/annurev.publhealth.29.020907.090824
   Akerlof K., 2012, Risky Business: Engaging the Public in Policy Discourse on Sea-Level Rise and Inundation
   Akerlof K., 2014, Adapting to climate change and sea level rise: A Maryland statewide survey, Fall 2014
   [Anonymous], 2007, REPUBLIC COM 2 0
   [Anonymous], AM CLIM CHOIC AD IMP
   [Anonymous], 2013, SUCCESSFUL ADAPTATIO
   [Anonymous], 1983, RISK CULTURE ESSAY S
   ARMSTRONG JS, 1977, J MARKETING RES, V14, P396, DOI 10.2307/3150783
   Barabas J, 2004, AM POLIT SCI REV, V98, P687, DOI 10.1017/S0003055404041425
   Boon J., 2006, The three faces of Isabel
   Boon J.D., 2010, Chesapeake Bay land subsidence and sea level change: An evaluation of past and present trends and future outlook, DOI 10.21220/V58X4P
   Braman D., 2007, 1017189 ID SSRN ELIB
   Brody SD, 2008, ENVIRON BEHAV, V40, P72, DOI 10.1177/0013916506298800
   BURLESON BR, 1984, HUM COMMUN RES, V10, P557, DOI 10.1111/j.1468-2958.1984.tb00032.x
   Burton P., 2011, PLANNING CLIMATE ADA
   Canfield C, 2015, ENERGY RES SOC SCI, V8, P184, DOI 10.1016/j.erss.2015.05.008
   Capstick S, 2015, WIRES CLIM CHANGE, V6, P35, DOI 10.1002/wcc.321
   Carpini MXD, 2004, ANNU REV POLIT SCI, V7, P315, DOI 10.1146/annurev.polisci.7.121003.091630
   Carrico AR, 2015, J ENVIRON PSYCHOL, V41, P19, DOI 10.1016/j.jenvp.2014.10.009
   Cobb MD, 2011, J NANOPART RES, V13, P1533, DOI 10.1007/s11051-011-0227-0
   Covi M. P., 2015, ENV COMMUN, P1
   DAKE K, 1991, J CROSS CULT PSYCHOL, V22, P61, DOI 10.1177/0022022191221006
   Dewberry, 2012, COMM AD SEA LEV RIS
   Douglas Mary., 1970, Natural Symbols: Explorations in Cosmology
   Farrar C, 2010, BRIT J POLIT SCI, V40, P333, DOI 10.1017/S0007123409990433
   Fishkin JS, 2005, ACTA POLIT, V40, P284, DOI 10.1057/palgrave.ap.5500121
   GANNON MJ, 1971, J APPL PSYCHOL, V55, P586, DOI 10.1037/h0031907
   Garmestani AS, 2013, ECOL SOC, V18, DOI 10.5751/ES-05180-180109
   Gastil J., 2010, Journal of Public Deliberation, V6, P3
   Gastil J., 2016, PUBLIC ADM
   GIK Custom Research North America, 2013, STANF U CLIM AD NAT
   Goebbert K, 2012, WEATHER CLIM SOC, V4, P132, DOI 10.1175/WCAS-D-11-00044.1
   Gottmann J., 1961, Megalopolis: The Urbanized Northeastern Seaboard of the United States
   Greenberg J, 2013, COMM COM INF SC, V390, P1
   Groves RM, 2004, PUBLIC OPIN QUART, V68, P2, DOI 10.1093/poq/nfh002
   Higgins M., 2008, Sea Grant Law and Policy Journal, V1, P43
   Hindriks F, 2012, RATION SOC, V24, P198, DOI 10.1177/1043463111429274
   Hinkel J, 2015, NAT CLIM CHANGE, V5, P188, DOI 10.1038/nclimate2505
   Hobson K, 2011, GLOBAL ENVIRON CHANG, V21, P957, DOI 10.1016/j.gloenvcha.2011.05.001
   Hofstede Geert., 1983, INT STUDIES MANAGEME, V13, P46, DOI DOI 10.1080/00208825.1983.11656358
   Hoss Frauke, 2014, Environment Systems & Decisions, V34, P578, DOI 10.1007/s10669-014-9517-2
   Howe PD, 2011, GLOBAL ENVIRON CHANG, V21, P711, DOI 10.1016/j.gloenvcha.2011.02.001
   Hurlimann A, 2014, LANDSCAPE URBAN PLAN, V126, P84, DOI 10.1016/j.landurbplan.2013.12.013
   Javeline D, 2014, PERSPECT POLIT, V12, P420, DOI 10.1017/S1537592714000784
   Kahan D.M., 2008, HDB RISK THEORY EPIS, P725, DOI [10.1007/978-94-007-1433-5_28, DOI 10.1007/978-94-007-1433-5_28]
   Kahan D, 2012, NATURE, V488, P255, DOI 10.1038/488255a
   Kahan D, 2010, NATURE, V463, P296, DOI 10.1038/463296a
   Kahan DM, 2015, POLIT PSYCHOL, V36, P1, DOI 10.1111/pops.12244
   Kahan DM, 2010, LAW HUMAN BEHAV, V34, P501, DOI 10.1007/s10979-009-9201-0
   Kahan DM, 2009, NAT NANOTECHNOL, V4, P87, DOI [10.1038/nnano.2008.341, 10.1038/NNANO.2008.341]
   Kates R.W., 1997, ENVIRONMENT, V39, P29, DOI [10.1080/00139159709604767, DOI 10.1080/00139159709604767]
   Keeter S, 2006, PUBLIC OPIN QUART, V70, P759, DOI 10.1093/poq/nfl035
   Klima K, 2016, ADV NAT TECH HAZ RES, V45, P55, DOI 10.1007/978-3-319-20161-0_4
   Lewis EF, 2013, EVAL HEALTH PROF, V36, P330, DOI 10.1177/0163278713496565
   List C, 2013, J POLIT, V75, P80, DOI 10.1017/S0022381612000886
   Luskin RC, 2002, BRIT J POLIT SCI, V32, P455, DOI 10.1017/S0007123402000194
   MacInnis B, 2015, CLIMATIC CHANGE, V128, P17, DOI 10.1007/s10584-014-1286-x
   Markolf Samuel A., 2015, Environment Systems & Decisions, V35, P427, DOI 10.1007/s10669-015-9572-3
   Maryland Commission on Climate Change, 2008, COMPR STRAT RED MAR
   Moser SC, 2008, CLIMATIC CHANGE, V87, pS309, DOI 10.1007/s10584-007-9384-7
   Moser SC, 2014, WIRES CLIM CHANGE, V5, P337, DOI 10.1002/wcc.276
   Moser SC, 2012, CLIMATIC CHANGE, V111, P165, DOI 10.1007/s10584-012-0398-4
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Moser SusanneC., 2009, Good Morning America!: The Explosive U.S. Awakening to the Need for Adaptation
   Nisbet MC, 2007, PUBLIC OPIN QUART, V71, P444, DOI 10.1093/poq/nfm031
   Pew Research Center for the People and the Press, 2012, ASSESSING REPRESENTA
   Responsive Management, 2010, DEL RES OP CLIM CHAN
   Responsive Management, 2014, DEL RES OP CLIM CHAN
   Richards D.P., 2015, Communication Design Quarterly Review, V3, P20, DOI [10.1145/2792989.2792992, DOI 10.1145/2792989.2792992]
   Roser-Renouf C, 2014, CLIMATIC CHANGE, V125, P163, DOI 10.1007/s10584-014-1173-5
   Ruddell D, 2012, CLIMATIC CHANGE, V111, P581, DOI 10.1007/s10584-011-0165-y
   Sallenger AH, 2012, NAT CLIM CHANGE, V2, P884, DOI [10.1038/nclimate1597, 10.1038/NCLIMATE1597]
   Sjöberg L, 2000, RISK ANAL, V20, P1, DOI 10.1111/0272-4332.00001
   Sjoberg L., 1998, RISK, V9, P137
   Sovacool BK, 2011, CLIM POLICY, V11, P1177, DOI 10.1080/14693062.2011.579315
   Stephens SH, 2015, J BUS TECH COMMUN, V29, P314, DOI 10.1177/1050651915573963
   Stephens SH, 2014, SCI COMMUN, V36, P675, DOI 10.1177/1075547014550371
   Sunstein CR, 2000, YALE LAW J, V110, P71, DOI 10.2307/797587
   Sunstein CR, 2002, J POLIT PHILOS, V10, P175, DOI 10.1111/1467-9760.00148
   Tansey J., 2009, Handbook of crisis and risk communication, P53
   Taylor A, 2014, RISK ANAL, V34, P1995, DOI 10.1111/risa.12234
   Timotijevic L, 2007, HEALTH POLICY, V82, P302, DOI 10.1016/j.healthpol.2006.09.010
   van der Linden S, 2016, SCI COMMUN, V38, P128, DOI 10.1177/1075547015614970
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   Wong-Parodi G, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/3/034004
   Wong-Parodi G, 2014, CLIMATIC CHANGE, V126, P485, DOI 10.1007/s10584-014-1226-9
   Wong-Parodi G, 2014, P NATL ACAD SCI USA, V111, P13658, DOI 10.1073/pnas.1320021111
   Woodruff S.C., 2016, Nat. Clim. Change
   Woolley AW, 2010, SCIENCE, V330, P686, DOI 10.1126/science.1193147
NR 89
TC 23
Z9 26
U1 0
U2 31
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 DEC
PY 2016
VL 66
BP 314
EP 323
DI 10.1016/j.envsci.2016.07.002
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ED7YT
UT WOS:000389089300034
DA 2025-01-10
ER

PT J
AU Lassa, JA
   Lai, AYH
   Goh, T
AF Lassa, Jonatan A.
   Lai, Allen Yu-Hung
   Goh, Tian
TI Climate extremes: an observation and projection of its impacts on food
   production in ASEAN
SO NATURAL HAZARDS
LA English
DT Article
DE Agricultural vulnerability; Climate adaptation; Climate extremes; Food
   security; Loss and damage
ID INDONESIAN RICE AGRICULTURE; LOWER MEKONG BASIN; ADAPTATION; ASIA;
   VULNERABILITY; TEMPERATURE; VARIABILITY; SECURITY; OPTIONS; RISKS
AB Climate change alters global food systems, especially agriculture and fisheries-significant aspects of the livelihoods and food security of populations. The 2014 IPCC Fifth Assessment Report identified Southeast Asia as the most vulnerable coastal region in the world, and highlighted the potential distribution of impacts and risks of climate change in the region. While climate hazards may differ across geographical regions, the impact of climate extremes on food production will affect marginal farmers, fishers and poor urban consumers disproportionately, as they have limited capacities to adapt to and recover from extreme weather events. Governments and other stakeholders need to respond to climate extremes and incorporate adaptation into national development plans. Unfortunately, there is still limited peer-review publication on the subject matter. This paper presents some findings from research on observed and projected loss and damage inflicted by climate extremes on agricultural crops in Southeast Asia.
C1 [Lassa, Jonatan A.; Goh, Tian] Nanyang Technol Univ, Ctr Nontradit Secur Studies, S Rajaratnam Sch Int Studies, 50 Nanyang Ave, Singapore 639798, Singapore.
   [Lai, Allen Yu-Hung] ESSEC Business Sch, Inst Hlth Econ & Management, 2 One North Gateway, Singapore 138502, Singapore.
C3 Nanyang Technological University; ESSEC Business School
RP Lai, AYH (corresponding author), ESSEC Business Sch, Inst Hlth Econ & Management, 2 One North Gateway, Singapore 138502, Singapore.
EM jonatan.lassa@gmail.com; allen.lai@essec.edu; istgoh@ntu.edu.sg
RI Lassa, Jonatan/M-6112-2019
OI Lassa, Jonatan/0000-0002-8432-842X; Goh, Tian/0000-0002-8702-4907
CR Amien I, 1996, WATER AIR SOIL POLL, V92, P29
   [Anonymous], 4901 WORLD BANK
   Arunrat N., 2015, Asian Soc. Sci., V11, P275, DOI [10.5539/ass.v11n15p275, DOI 10.5539/ASS.V11N15P275]
   Bassino JP, 2006, ECON REV, V73, P3
   Caballero-Anthony M, 2015, FRAMING ASEAN SOCIOC
   FAO WFP IFAD, 2014, STAT FOOD INS 2014 R
   Felkner J, 2009, AM ECON REV, V99, P205, DOI 10.1257/aer.99.2.205
   Kawasaki J., 2011, Journal of ISSAAS (International Society for Southeast Asian Agricultural Sciences), V17, P14
   Kuneepong P, 2001, INT C MOD SIM 10 13
   Lam MY, 1993, AOAR TECHNICAL REPOR
   Lassa JA, 2012, 20118 ERIA, P595
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Luo Y, 1998, AGR ECOSYST ENVIRON, V68, P197, DOI 10.1016/S0167-8809(97)00083-2
   Mainuddin M, 2013, NAT HAZARDS, V66, P905, DOI 10.1007/s11069-012-0526-5
   Mainuddin M, 2011, FOOD SECUR, V3, P433, DOI 10.1007/s12571-011-0154-z
   Matthews RB, 1997, AGR SYST, V54, P399, DOI 10.1016/S0308-521X(95)00060-I
   Naylor R, 2002, B INDONES ECON STUD, V38, P75, DOI 10.1080/000749102753620293
   Naylor RL, 2007, P NATL ACAD SCI USA, V104, P7752, DOI 10.1073/pnas.0701825104
   Naylor RL, 2010, INT SER OPER RES MAN, V138, P127, DOI 10.1007/978-1-4419-1129-2_4
   Pandey S, 2007, AGR ECON-BLACKWELL, V37, P213, DOI 10.1111/j.1574-0862.2007.00246.x
   Peng SB, 2004, P NATL ACAD SCI USA, V101, P9971, DOI 10.1073/pnas.0403720101
   Snivdongs A, 2006, 07 AS INT START SECR
   Teng P, 2015, CLIMATE CHANGE IMPAC
   UNFCCC, 2012, APPR ADDR LOSS DAM A
   United Nations Framework Convention on Climate Change (UNFCCC), 2013, WARS INT MECH LOSS D
   USDA, 2008, BURM WID CYCL DAM MA
   Wassmann R, 2009, ADV AGRON, V102, P91, DOI 10.1016/S0065-2113(09)01003-7
   World Bank, 2010, EC AD CLIM CHANG
   Zou LL, 2010, NAT HAZARDS, V54, P901, DOI 10.1007/s11069-010-9513-x
NR 29
TC 16
Z9 16
U1 8
U2 95
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 NOV
PY 2016
VL 84
SU 1
BP S19
EP S33
DI 10.1007/s11069-015-2081-3
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 EB7US
UT WOS:000387596900003
DA 2025-01-10
ER

PT J
AU Relethford, JH
AF Relethford, JH
TI Boas and beyond: Migration and craniometric variation
SO AMERICAN JOURNAL OF HUMAN BIOLOGY
LA English
DT Article; Proceedings Paper
CT 28th Annual Meeting of the Human-Biology-Association
CY APR 26, 2003
CL Tempe, AZ
SP Human Biol Assoc
ID CRANIAL PLASTICITY; HEAD FORM; IMMIGRANT; CLIMATE; IRELAND
AB Migration is expected to affect craniometric variation in three ways: 1) movement into a different environment leading to developmental plasticity; 2) movement into a different environment followed by in situ adaptation through natural selection; and 3) changes in among-group differentiation and genetic distance through the action of gene flow. The relative influence of these three factors has been argued in the literature, most recently in a series of articles debating the statistical and biological significance of Boas's immigration studies as they relate to cranial plasticity. The Boas debate is discussed within the broader context of debate over genetic and environmental influences on craniometric variation. Additional examples are provided from an ongoing study of global craniometric variation. Although developmental plasticity and climatic adaptation have had an impact on craniometric variation, these factors tend not to erase, or even obscure greatly, underlying patterns of population structure and history that fit a neutral model of quantitative variation. Thus, craniometric data can be used to explore questions of gene flow and genetic affinity. (C) 2004 Wiley-Liss, Inc.
C1 SUNY Coll Oneonta, Dept Anthropol, Oneonta, NY 13820 USA.
C3 State University of New York (SUNY) System
RP SUNY Coll Oneonta, Dept Anthropol, Oneonta, NY 13820 USA.
EM relethjh@oneonta.edu
CR BEALS KL, 1984, CURR ANTHROPOL, V25, P301, DOI 10.1086/203138
   BEALS KL, 1972, AM J PHYS ANTHROPOL, V37, P85, DOI 10.1002/ajpa.1330370111
   BEALS KL, 1983, AM J PHYS ANTHROPOL, V62, P425, DOI 10.1002/ajpa.1330620407
   Boas F., 1912, CHANGES BODILY FORM
   Cavalli-Sforza L. L., 1994, HIST GEOGRAPHY HUMAN
   Eller E, 1999, AM J PHYS ANTHROPOL, V108, P147, DOI 10.1002/(SICI)1096-8644(199902)108:2<147::AID-AJPA2>3.0.CO;2-E
   FIX AG, 1978, ANN HUM GENET, V41, P329, DOI 10.1111/j.1469-1809.1978.tb01900.x
   Gravlee CC, 2003, AM ANTHROPOL, V105, P326, DOI 10.1525/aa.2003.105.2.326
   Gravlee CC, 2003, AM ANTHROPOL, V105, P125, DOI 10.1525/aa.2003.105.1.125
   GULIELMINOMATES.CR, 1979, AM J PHYS ANTHROPOL, V50, P54
   HARDING RM, 1990, HUM BIOL, V62, P733
   Harris Marvin., 1968, The Rise of Anthropological Theory: A History of Theories of Culture
   Holloway RL, 2002, P NATL ACAD SCI USA, V99, P14622, DOI 10.1073/pnas.242622399
   HOWELLS WW, 1973, 67 HARV U PEAB MUS
   Howells WW., 1989, Papers of the Peabody Museum of Archaeology and Ethnology
   JANTZ RL, 1992, HUM BIOL, V64, P435
   Jorde L.B., 1980, CURRENT DEV ANTHR GE, V1, P135, DOI DOI 10.1007/978-1-4613-3084-4_7
   LASKER GW, 1969, SCIENCE, V166, P1480, DOI 10.1126/science.166.3912.1480
   Little MA., 1988, Biological aspects of human migration, P167
   MORTON N E, 1971, Theoretical Population Biology, V2, P507, DOI 10.1016/0040-5809(71)90038-4
   Relethford JH, 1997, HUM BIOL, V69, P443
   RELETHFORD JH, 1994, AM J PHYS ANTHROPOL, V95, P249
   Relethford JH, 2002, AM J PHYS ANTHROPOL, V118, P393, DOI 10.1002/ajpa.10079
   RELETHFORD JH, 1994, AM J PHYS ANTHROPOL, V95, P53, DOI 10.1002/ajpa.1330950105
   RELETHFORD JH, 1995, AM J PHYS ANTHROPOL, V96, P25, DOI 10.1002/ajpa.1330960104
   Relethford JohnH., 2003, REFLECTIONS OUR HUMA
   Roberts D.F., 1995, Human Variability and Plasticity, P1
   Schell L.M., 1995, Human Variability and Plasticity, P213
   SMOUSE PE, 1986, SYST ZOOL, V35, P627, DOI 10.2307/2413122
   Sparks CS, 2003, AM ANTHROPOL, V105, P333, DOI 10.1525/aa.2003.105.2.333
   Sparks CS, 2002, P NATL ACAD SCI USA, V99, P14636, DOI 10.1073/pnas.222389599
NR 31
TC 102
Z9 137
U1 0
U2 22
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1042-0533
EI 1520-6300
J9 AM J HUM BIOL
JI Am. J. Hum. Biol.
PD JUL-AUG
PY 2004
VL 16
IS 4
BP 379
EP 386
DI 10.1002/ajhb.20045
PG 8
WC Anthropology; Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH); Conference Proceedings Citation Index - Science (CPCI-S)
SC Anthropology; Life Sciences & Biomedicine - Other Topics
GA 834QK
UT WOS:000222425400003
PM 15214056
DA 2025-01-10
ER

PT J
AU Tian, H
   Liu, Y
   Li, JC
   Xing, QW
   Sun, H
   Tian, YJ
AF Tian, Hao
   Liu, Yang
   Li, Jianchao
   Xing, Qinwang
   Sun, He
   Tian, Yongjun
TI Satellite nighttime remote sensing promotes the spatially refined
   monitoring and assessment of offshore fishery
SO INTERNATIONAL JOURNAL OF DIGITAL EARTH
LA English
DT Article
DE Nighttime remote sensing; fishery activity monitoring; fishery
   management; climate change; Yellow-Bohai Sea
ID CLIMATE-CHANGE; YELLOW SEA; COLD-WATER; MANAGEMENT; SCENARIOS; TRACKING;
   LIGHT
AB Offshore small-scale fisheries, constituting 31% of global marine captures, are crucial for the promotion of sustainable fisheries. However, current fishery monitoring, assessments, and management remain incomplete. Nighttime remote sensing provides a critical perspective for monitoring fishery activities. Thus, in this study, a dynamic threshold fishing vessel detection (DTFVD) model was developed to assess and manage the spatiotemporal variations of offshore fisheries. Results demonstrated that the DTFVD model provides superior accuracy in nighttime fishery monitoring and can successfully identify a robust seasonal bimodal distribution of the Yellow-Bohai Sea's fisheries. By analysing the impacts of climate, environmental, and policy factors, this study reveals that ocean dynamics affect the seasonal and geographic distribution of offshore nighttime fisheries by enhancing ocean mixing and ecological processes. The effects of the COVID-19 lockdowns and Chinese summer fishing moratorium on offshore fisheries were also determined by nighttime remote sensing. According to future climate warming predictions, the habitats for the recruited migratory fish population may gradually move northward and disappear under climate risks, leading to the disappearance of suitable fishing areas for nighttime fisheries. Therefore, this study suggests integrating nighttime remote sensing into offshore fishery monitoring and assessment efforts for climate-adapted fishery management strategies.
C1 [Tian, Hao; Liu, Yang; Li, Jianchao; Tian, Yongjun] Ocean Univ China, Deep Sea & Polar Fisheries Res Ctr, Qingdao 266003, Peoples R China.
   [Tian, Hao; Liu, Yang; Li, Jianchao; Tian, Yongjun] Ocean Univ China, Key Lab Mariculture, Minist Educ, Qingdao 266003, Peoples R China.
   [Liu, Yang; Tian, Yongjun] Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao 266100, Peoples R China.
   [Xing, Qinwang] Shandong Univ, Inst Marine Sci & Technol, Qingdao, Peoples R China.
   [Sun, He] Fujian Prov Invest Design & Res Inst Water Conserv, Fuzhou, Peoples R China.
C3 Ocean University of China; Ocean University of China; Ocean University
   of China; Shandong University
RP Liu, Y (corresponding author), Ocean Univ China, Deep Sea & Polar Fisheries Res Ctr, Qingdao 266003, Peoples R China.; Liu, Y (corresponding author), Ocean Univ China, Key Lab Mariculture, Minist Educ, Qingdao 266003, Peoples R China.; Liu, Y (corresponding author), Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao 266100, Peoples R China.
EM Yangliu315@ouc.edu.cn
RI Tian, Hao/J-6023-2018; Liu, Yang/AAK-3617-2020; Xing,
   Qinwang/GQY-4526-2022
OI Liu, Yang/0000-0001-8548-0223; Xing, Qinwang/0000-0003-4854-320X
CR Arostegui MC, 2022, NATURE, V609, P535, DOI 10.1038/s41586-022-05162-6
   Belkin IM, 2009, PROG OCEANOGR, V81, P207, DOI 10.1016/j.pocean.2009.04.011
   Boyce DG, 2022, NAT CLIM CHANGE, V12, P854, DOI 10.1038/s41558-022-01437-y
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Casalicchio G., 2018, J OPEN SOURCE SOFTW, V3, P786, DOI [DOI 10.21105/JOSS.00786, 10.21105/joss.00786]
   Chen GY, 2019, PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2019), DOI 10.1145/3331453.3361661
   Chen YL, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2022.109759
   Cinner JE, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30991-4
   Cozzolino Ezequiel, 2016, Remote Sensing Applications: Society and Environment, V4, P167, DOI 10.1016/j.rsase.2016.09.002
   Diao XY, 2022, J OCEANOL LIMNOL, V40, P55, DOI 10.1007/s00343-021-0206-y
   Dimarchopoulou D, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24468-y
   Ding LL, 2021, MAR POLICY, V133, DOI 10.1016/j.marpol.2021.104707
   Elvidge CD, 2022, FRONT REMOTE SENS, V3, DOI 10.3389/frsen.2022.919937
   Elvidge CD, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00132
   Elvidge CD, 2015, REMOTE SENS-BASEL, V7, P3020, DOI 10.3390/rs70303020
   Fan H, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-26373-w
   FAO, 2022, STATE WORLD FISHERIE, DOI [DOI 10.4060/CC0463-N, DOI 10.4060/CC0461-N]
   Guisan A, 2002, ECOL MODEL, V157, P89, DOI 10.1016/S0304-3800(02)00204-1
   Gutierrez N. L., 2023, Production and Environmental Interactions of Small-Scale Fisheries. in: FAO
   He B, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13224507
   He ZY, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10070912
   Hsu F.-C., 2013, Proc. Asia-Pac. Adv. Netw, V35, P62, DOI [10.7125/APAN.35.7, DOI 10.7125/APAN.35.7]
   Hsu FC, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11090995
   Hurtt GC, 2011, CLIMATIC CHANGE, V109, P117, DOI 10.1007/s10584-011-0153-2
   James M, 2018, MAR POLICY, V91, P113, DOI 10.1016/j.marpol.2018.02.012
   Jin X., 2005, Biological Resources and Habitat of the Yellow-Bohai Sea
   Kroodsma DA, 2018, SCIENCE, V359, P904, DOI 10.1126/science.aao5646
   Lee MA, 2023, PEERJ, V11, DOI 10.7717/peerj.15788
   Lee Ming-An, 2022, Journal of the Fisheries Society of Taiwan, V49, P127, DOI 10.29822%2fJFST.202206_49(2).0006
   Lee Ming-An, 2022, Journal of the Fisheries Society of Taiwan, V49, P113, DOI 10.29822%2fJFST.202206_49(2).0005
   Levin N, 2020, REMOTE SENS ENVIRON, V237, DOI 10.1016/j.rse.2019.111443
   Li G, 2014, INT J REMOTE SENS, V35, P4399, DOI 10.1080/01431161.2014.916057
   Li JC, 2016, J GEOPHYS RES-OCEANS, V121, P6779, DOI 10.1002/2016JC012186
   Lie HJ, 2019, J GEOPHYS RES-OCEANS, V124, P4856, DOI 10.1029/2019JC015180
   Liu Y., 2015, Proceedings of the Asia- Pacific Advanced Network, V39, P28, DOI [10.7125/APAN.39, DOI 10.7125/APAN.39, 10.7125/apan.39.3, DOI 10.7125/APAN.39.3]
   Liu Y, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.659816
   Lue XG, 2010, CONT SHELF RES, V30, P620, DOI 10.1016/j.csr.2009.09.002
   Ma SY, 2023, SCI TOTAL ENVIRON, V857, DOI 10.1016/j.scitotenv.2022.159325
   March D, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22423-6
   Melnychuk MC, 2021, NAT SUSTAIN, V4, P440, DOI 10.1038/s41893-020-00668-1
   Miller SD, 2013, REMOTE SENS-BASEL, V5, P6717, DOI 10.3390/rs5126717
   Miller SD, 2012, P NATL ACAD SCI USA, V109, P15706, DOI 10.1073/pnas.1207034109
   Ministry of Agriculture and Rural Affairs of the People's Republic of China, 2021, Notification of the Ministry of Agriculture and Rural Affairs on printing and distributing the 14th Five-Year National Fishery Development Plan
   Ministry of Foreign Affairs of the People's Republic of China, 2020, Fisheries Agreement between the Government of the People's Republic of China and the Government of the Republic of Korea
   Mondal S, 2023, MAR POLLUT BULL, V197, DOI 10.1016/j.marpolbul.2023.115733
   Mondal S, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1258535
   Mondal S, 2023, J MAR SCI ENG, V11, DOI 10.3390/jmse11081565
   Mondal S, 2023, PEERJ, V11, DOI 10.7717/peerj.14990
   Mondal S, 2023, J MAR SCI ENG, V11, DOI 10.3390/jmse11010102
   Mondal S, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14205278
   Mondal S, 2021, J MAR SCI TECH-TAIW, V29, P795, DOI 10.51400/2709-6998.2559
   Mondal S, 2021, J MAR SCI TECH-TAIW, V29, P784, DOI 10.51400/2709-6998.2558
   Mondal S, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13142669
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Natural Resources of the People's Republic of China, 2012, National Marine Function Zoning (2011-2020)
   Oh Y, 2020, INT J REMOTE SENS, V41, P5884, DOI 10.1080/01431161.2019.1685722
   Park J, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abb1197
   Poloczanska ES, 2013, NAT CLIM CHANGE, V3, P919, DOI [10.1038/nclimate1958, 10.1038/NCLIMATE1958]
   Richerson K, 2018, MAR POLICY, V95, P142, DOI 10.1016/j.marpol.2018.03.005
   Roberts JJ, 2010, ENVIRON MODELL SOFTW, V25, P1197, DOI 10.1016/j.envsoft.2010.03.029
   Rogers MA, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15040976
   Shim E, 2021, INT J INFECT DIS, V102, P1, DOI 10.1016/j.ijid.2020.10.007
   Sihombing RI, 2024, INT J REMOTE SENS, V45, P8722, DOI 10.1080/01431161.2023.2235644
   Smith AM, 2024, bioRxiv, DOI [10.1101/2022.10.26.513922, 10.1101/2022.10.26.513922, DOI 10.1101/2022.10.26.513922]
   Straka WC, 2015, REMOTE SENS-BASEL, V7, P971, DOI 10.3390/rs70100971
   Sun C, 2020, ISPRS J PHOTOGRAMM, V165, P152, DOI 10.1016/j.isprsjprs.2020.05.019
   Tang DL, 2004, HYDROBIOLOGIA, V511, P1, DOI 10.1023/B:HYDR.0000014001.43554.6f
   Tian H, 2022, MAR POLICY, V144, DOI 10.1016/j.marpol.2022.105227
   Tian H, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.808282
   Tigchelaar M, 2022, GLOB FOOD SECUR-AGR, V33, DOI 10.1016/j.gfs.2022.100637
   VanDerWal J, 2013, NAT CLIM CHANGE, V3, P239, DOI [10.1038/NCLIMATE1688, 10.1038/nclimate1688]
   Vayghan AH, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12162515
   Wang C, 2020, LANCET, V395, P470, DOI 10.1016/S0140-6736(20)30185-9
   Wood S. N., 2006, Journal of Statistical Software, V16
   Xing QW, 2023, PROG OCEANOGR, V216, DOI 10.1016/j.pocean.2023.103072
   Xing QW, 2023, REMOTE SENS ENVIRON, V294, DOI 10.1016/j.rse.2023.113627
   Xing QW, 2022, PROG OCEANOGR, V201, DOI 10.1016/j.pocean.2022.102743
   Xing QW, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.758538
   Xu LY, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.865645
   Xue GF, 2005, OCEAN DEV INT LAW, V36, P363, DOI 10.1080/00908320500308767
   Yu YJ, 2006, MAR POLICY, V30, P249, DOI 10.1016/j.marpol.2004.12.006
   Yuan DL, 2013, ACTA OCEANOL SIN, V32, P42, DOI 10.1007/s13131-013-0287-3
   Zhang R, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.915765
   Zhang WC, 2022, FISH OCEANOGR, V31, P456, DOI 10.1111/fog.12595
   Zhang WC, 2021, FISH OCEANOGR, V30, P366, DOI 10.1111/fog.12523
   Zhang ZX, 2018, CONT SHELF RES, V154, P1, DOI 10.1016/j.csr.2017.12.012
   Zhao LH, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14215336
   Zhao YB, 2020, ENVIRON SCI TECH LET, V7, P402, DOI 10.1021/acs.estlett.0c00304
   Zhu Y.G, 2009, THESIS OCEAN U CHINA
NR 89
TC 1
Z9 1
U1 11
U2 31
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1753-8947
EI 1753-8955
J9 INT J DIGIT EARTH
JI Int. J. Digit. Earth
PD DEC 31
PY 2024
VL 17
IS 1
AR 2322762
DI 10.1080/17538947.2024.2322762
PG 26
WC Geography, Physical; Remote Sensing
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Remote Sensing
GA JS5Z8
UT WOS:001175179600001
OA gold
DA 2025-01-10
ER

PT J
AU Lorente, C
   Corell, D
   Estrela, MJ
   Miró, JJ
   Orgambides-García, D
AF Lorente, Christian
   Corell, David
   Estrela, Maria Jose
   Miro, Juan Javier
   Orgambides-Garcia, David
TI Impact of Climate Change on the Bioclimatological Conditions Evolution
   of Peninsular and Balearic Spain During the 1953-2022 Period
SO CLIMATE
LA English
DT Article
DE bioclimatology; climate change; Iberian Peninsula; macrobioclimates;
   bioclimates
ID AIR-TEMPERATURE; PRECIPITATION; MOUNTAINS; TRENDS; VEGETATION;
   DIVERSITY; REGION; SHIFT
AB Climate change is altering the temperature and precipitation patterns in the Iberian Peninsula and on the Balearic Islands, with potential impacts on the distribution of plant communities. This study analyses the evolution of bioclimatic units in this region during the 1953-2022 period. Data from 3668 weather stations distributed throughout the study area were analysed. Two 35-year periods (1953-1987 and 1988-2022) were compared to assess changes in macrobioclimates and bioclimates. The results showed expansion of the Mediterranean macrobioclimate, whose total area increased by 6.93%, mainly at the expense of the Temperate macrobioclimate. For bioclimates, a trend towards more xeric and continental conditions was observed in the Mediterranean region, while temperate areas moved towards homogenisation of climate conditions. Likewise, two new bioclimates were detected, which indicate the emergence of new climate conditions. These results suggest a reorganisation of bioclimatic conditions, with particular implications for biodiversity in mountainous and transitional areas, where endemic species face higher risks of habitat loss. This study provides useful information for developing targeted conservation strategies, establishing a baseline for monitoring future changes and developing early warning systems for vulnerable ecosystems, thus supporting the design of climate-adapted conservation measures in the region studied.
C1 [Lorente, Christian; Corell, David; Orgambides-Garcia, David] Univ Valencia, Fac Phys, Dept Earth Phys & Thermodynam, Dr Moliner St 50, Burjassot 46100, Spain.
   [Estrela, Maria Jose; Miro, Juan Javier] Univ Valencia, Fac Geog & Hist, Dept Geog, Av Blasco Ibanez 28, Valencia 46010, Spain.
C3 University of Valencia; University of Valencia
RP Lorente, C (corresponding author), Univ Valencia, Fac Phys, Dept Earth Phys & Thermodynam, Dr Moliner St 50, Burjassot 46100, Spain.
EM christian.lorente@uv.es; david.corell@uv.es; majoesna@uv.es;
   javier.miro-perez@uv.es; orgarda@uv.es
RI Corell, David/HNQ-3505-2023; Estrela, Maria/L-7540-2014; Miró,
   Juan/ABG-8040-2020
OI CORELL, DAVID/0000-0002-1826-8625; Miro, Juan
   Javier/0000-0003-2167-1228; Orgambides-Garcia, David/0009-0004-0468-8217
FU Generalitat Valenciana; Ministry of Science and Innovation
   [PID2020-118797RB-I00, MCIN/AEI/10.13039/501100011033]; 
   [PROMETEO/2021/016]
FX This study has been carried out within the framework of Research
   Projects PROMETEO/2021/016 of the Generalitat Valenciana and
   PID2020-118797RB-I00 (MCIN/AEI/10.13039/501100011033) of the Ministry of
   Science and Innovation.
CR Andrade C, 2020, INT J CLIMATOL, V40, P5863, DOI 10.1002/joc.6553
   Barredo J.I., 2020, Climate Change Impacts and Adaptation in Europe. JRC PESETA IV Final Report, P1
   Bednar-Friedl B., 2023, Climate Change 2022Impacts, Adaptation and Vulnerability, P1817, DOI DOI 10.1017/9781009325844.015
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Benito Garzón M, 2008, APPL VEG SCI, V11, P169, DOI 10.3170/2008-7-18348
   Cano E., 2022, Natural Resources Conservation and Advances for Sustainability, P377
   Cano-Ortiz A, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12112707
   Cardona C., 2015, Reg. Environ. Chang, V15, P559
   Cramer W., 2020, Climate and Environmental Change in the Mediterranean BasinCurrent Situation and Risks for the Future. First Mediterranean Assessment Report, P11, DOI [10.5281/zenodo.5513887, DOI 10.5281/ZENODO.5513887]
   Cramer W, 2018, NAT CLIM CHANGE, V8, P972, DOI 10.1038/s41558-018-0299-2
   de Luis M, 2011, NAT HAZARD EARTH SYS, V11, P1259, DOI 10.5194/nhess-11-1259-2011
   De Luis M., 2007, Geographicalia, V52, P53, DOI [10.26754/ojsgeoph/geoph.2007521107, DOI 10.26754/OJSGEOPH/GEOPH.2007521107]
   del Río S, 2024, THEOR APPL CLIMATOL, V155, P3387, DOI 10.1007/s00704-024-04831-y
   del Río S, 2021, ECOL INDIC, V131, DOI 10.1016/j.ecolind.2021.108202
   del Río S, 2018, PLANT BIOSYST, V152, P1205, DOI 10.1080/11263504.2018.1435572
   Diffenbaugh NS, 2012, CLIMATIC CHANGE, V114, P813, DOI 10.1007/s10584-012-0570-x
   Domonkos P., 2014, P 8 SEM HOM QUAL CON, P46
   Domonkos P, 2015, THEOR APPL CLIMATOL, V122, P303, DOI 10.1007/s00704-014-1298-5
   Dullinger S, 2012, NAT CLIM CHANGE, V2, P619, DOI 10.1038/NCLIMATE1514
   El Kenawy A, 2012, ATMOS RES, V106, P159, DOI 10.1016/j.atmosres.2011.12.006
   Engler R, 2011, GLOBAL CHANGE BIOL, V17, P2330, DOI 10.1111/j.1365-2486.2010.02393.x
   Estrela MJ, 2024, ATMOSPHERE-BASEL, V15, DOI 10.3390/atmos15020166
   Fernández JBG, 2004, PLANT ECOL, V172, P83, DOI 10.1023/B:VEGE.0000026039.00969.7a
   García-Romero A, 2010, CLIMATIC CHANGE, V100, P645, DOI 10.1007/s10584-009-9727-7
   García-Ruiz JM, 2011, EARTH-SCI REV, V105, P121, DOI 10.1016/j.earscirev.2011.01.006
   Gimnez-Alfaro B., 2016, Glob. Change Biol, V22, P3642, DOI [10.1111/gcb.13341, DOI 10.1111/GCB.13341]
   Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005
   González-Pérez A, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12101966
   Gordo O, 2010, GLOBAL CHANGE BIOL, V16, P1082, DOI 10.1111/j.1365-2486.2009.02084.x
   Gottfried M, 2012, NAT CLIM CHANGE, V2, P111, DOI [10.1038/nclimate1329, 10.1038/NCLIMATE1329]
   Guardiola M, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12142640
   Honrado J, 2007, ACTA BOT GALLICA, V154, P63, DOI 10.1080/12538078.2007.10516045
   Iglesias A, 2012, CLIMATIC CHANGE, V112, P29, DOI 10.1007/s10584-011-0338-8
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P2233, DOI [10.1017/9781009325844.021.2233, 10.1017/9781009325844.021]
   Miró JJ, 2018, INT J CLIMATOL, V38, P4699, DOI 10.1002/joc.5689
   Miró JJ, 2017, ATMOS RES, V197, P313, DOI 10.1016/j.atmosres.2017.07.016
   Miró JJ, 2016, ATMOS RES, V180, P150, DOI 10.1016/j.atmosres.2016.05.020
   Jeschke JM, 2008, ANN NY ACAD SCI, V1134, P1, DOI 10.1196/annals.1439.002
   Jump AS, 2009, TRENDS ECOL EVOL, V24, P694, DOI 10.1016/j.tree.2009.06.007
   Lamprecht A, 2021, ALPINE BOT, V131, P27, DOI 10.1007/s00035-021-00246-x
   Lionello P, 2018, REG ENVIRON CHANGE, V18, P1481, DOI 10.1007/s10113-018-1290-1
   Llorens L, 2017, PLANT VEG, V13, P3, DOI 10.1007/978-3-319-54867-8_1
   Lpez M.L., 2017, Estud. Geogr, V78, P553, DOI [10.3989/estgeogr.201719, DOI 10.3989/ESTGEOGR.201719]
   Lpez-Fernndez M.L., 2016, P 10 C INT AEC CLIM, P205
   lvarez A., 2022, P 12 C INT AS ESP CL, P551
   Martínez MD, 2010, INT J CLIMATOL, V30, P267, DOI 10.1002/joc.1884
   Mendoza-Fernández AJ, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11233193
   Marfil JM, 2017, LAZAROA, V38, P7, DOI 10.5209/LAZA.55439
   Miró JJ, 2023, ATMOS RES, V286, DOI 10.1016/j.atmosres.2023.106695
   Moratiel R, 2017, THEOR APPL CLIMATOL, V130, P419, DOI 10.1007/s00704-016-1891-x
   Nunes LJR, 2023, CLIMATE, V11, DOI 10.3390/cli11080173
   Pauli H, 2012, SCIENCE, V336, P353, DOI 10.1126/science.1219033
   Pausas JG, 2019, BIOSCIENCE, V69, P143, DOI 10.1093/biosci/biy157
   Peña-Angulo D, 2021, INT J CLIMATOL, V41, P3071, DOI 10.1002/joc.7006
   Peñuelas J, 2003, GLOBAL CHANGE BIOL, V9, P131, DOI 10.1046/j.1365-2486.2003.00566.x
   Peñuelas J, 2013, GLOBAL CHANGE BIOL, V19, P2303, DOI 10.1111/gcb.12143
   Pereira SC, 2021, CLIMATE, V9, DOI 10.3390/cli9090139
   Rivas-Martinez S., 2017, The Vegetation of the Iberian Peninsula. Plant and Vegetation, P29, DOI [DOI 10.1007/978-3-319-54784-8_2, 10.1007/978-3-319-54784-8, DOI 10.1007/978-3-319-54784-8]
   Rivas-Martinez S., 2017, The Vegetation of the Iberian Peninsula, V2, P131, DOI [10.1007/978-3-319-54784-8_5, DOI 10.1007/978-3-319-54784-8_5, 10.1007/978-3-319-54784-85, DOI 10.1007/978-3-319-54784-85]
   Rivas-Martnez S., 2011, GLOB GEOBOT, V1, DOI [10.5616/gg110001, DOI 10.5616/GG110001]
   Rivas-Martnez S., 2021, Int. J. Geobot. Res, V10, P91, DOI [10.5616/ijgr211006, DOI 10.5616/IJGR211006, 10.5616/ ijr211006, DOI 10.5616/IJR211006]
   Ruiz-Labourdette D, 2012, J BIOGEOGR, V39, P162, DOI 10.1111/j.1365-2699.2011.02592.x
   Sandonis L, 2020, CLIM RES, V82, P177, DOI 10.3354/cr01627
   Serrano-Notivoli R, 2018, INT J CLIMATOL, V38, P4211, DOI 10.1002/joc.5562
   Smith WK, 2009, BOT REV, V75, P163, DOI 10.1007/s12229-009-9030-3
   Valladares F., 2014, Forests and Global Change, P47
NR 66
TC 1
Z9 1
U1 0
U2 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2225-1154
J9 CLIMATE
JI Climate
PD NOV
PY 2024
VL 12
IS 11
AR 183
DI 10.3390/cli12110183
PG 20
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA N4L7A
UT WOS:001364078200001
OA gold
DA 2025-01-10
ER

PT J
AU Votsi, NE
   Speyer, O
   Michailidou, DE
   Koukoulis, A
   Chatzidiakos, C
   Vandecasteele, I
   Photiadou, C
   Iglesias, JMR
   Aurambout, JP
   Gerasopoulos, E
AF Votsi, Nefta-Eleftheria
   Speyer, Orestis
   Michailidou, Danai-Eleni
   Koukoulis, Athanasios
   Chatzidiakos, Charalampos
   Vandecasteele, Ine
   Photiadou, Christiana
   Iglesias, Jose Miguel Rubio
   Aurambout, Jean-Philippe
   Gerasopoulos, Evangelos
TI Urban Biodiversity Index for Trees: A Climate Adaptation Measure for
   Cities Based on Tree Inventories
SO ENVIRONMENTS
LA English
DT Article
DE urban resilience; climate crisis; tree registry; native; alien;
   invasive; toxic
ID PLANT; SUSTAINABILITY; INDICATORS; COMMUNITY; HEALTH; FUTURE; RISKS
AB A historically large percentage of the world's population has moved to urban areas in the past few decades, causing various negative effects for the environment, such as air, noise, water, and light pollution; land degradation; and biodiversity loss. Under the current climate crisis, cities are anticipated to play an essential part in adaptation strategies to extreme atmospheric events. This study aims at developing indicators at an urban scale that can highlight adaptation progress by investigating relevant data (especially in situ) and statistics at a pan-European level in support of the EU's strategy for adapting to the impacts of climate change. The proposed indicator, Urban Biodiversity Indicator for Trees (UBI4T), which can be derived from city tree inventories, assesses one essential component of urban biodiversity by computing the proportion of native, alien, invasive, and toxic tree species spatially across a city. According to our findings (applying the UBI4T for Amsterdam and exploring its policy potential for Barcelona), the UBI4T can offer crucial information for decision and policy makers, as well as stakeholders of a city, with the aim of conducting dedicated and effective strategic initiatives to restore, improve, and protect nature in the urban environment, thus contributing to adaptation and resilience to extreme atmospheric events in cities.
C1 [Votsi, Nefta-Eleftheria; Speyer, Orestis; Michailidou, Danai-Eleni; Koukoulis, Athanasios; Chatzidiakos, Charalampos; Gerasopoulos, Evangelos] Natl Observ Athens, Inst Environm Res & Sustainable Dev, I Metaxa & Vas Pavlou,P Penteli Lofos Koufou, Athens 15236, Greece.
   [Vandecasteele, Ine; Photiadou, Christiana; Iglesias, Jose Miguel Rubio; Aurambout, Jean-Philippe] European Environm Agcy, Kongens Nytorv 6, DK-1050 Copenhagen, Denmark.
C3 National Observatory of Athens
RP Votsi, NE (corresponding author), Natl Observ Athens, Inst Environm Res & Sustainable Dev, I Metaxa & Vas Pavlou,P Penteli Lofos Koufou, Athens 15236, Greece.
EM nvotsi@noa.gr; jean-philippe.aurambout@eea.europa.eu
OI Michailidou, Danai-Eleni/0000-0002-8732-0677; Speyer,
   Orestis/0000-0001-5252-7080
FU European Environment Agency
FX This research was funded by the European Environment Agency under the
   project InCASE of the Service Level Agreement (SLA) between the DG RTD
   of the European Commission and the European Environment Agency on
   "Mainstreaming GEOSS Data Sharing and Management Principles in support
   of Europe's environment", implementing the Horizon 2020 Work Programme
   2018-2020,Other Action 20.
CR Abella SR, 2015, NAT CONSERV-BULGARIA, P71, DOI 10.3897/natureconservation.10.4407
   Anadón A, 2018, VETERINARY TOXICOLOGY: BASIC AND CLINICAL PRINCIPLES, 3RD EDITION, P891, DOI 10.1016/B978-0-12-811410-0.00062-3
   [Anonymous], 2009, New Economics Foundation21 June
   [Anonymous], 2011, Report of the AHTEG on Indicators for the Strategic Plan for Biodiversity 20112020
   [Anonymous], 2021, Technical Report No. 2
   [Anonymous], 2012, Cities and Biodiversity Outlook
   [Anonymous], 1998, Toxic Plants and Other Natural Toxicants
   Bauman JM, 2015, ECOL ENG, V83, P521, DOI 10.1016/j.ecoleng.2015.06.023
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Boland B., 2021, FOCUSED ADAPTATION S
   Butt N, 2018, GEO-GEOGR ENVIRON, V5, DOI 10.1002/geo2.52
   .cbd.int, CONVENTION BIOLOGICA
   CBI User's Manual for the City Biodiversity Index, 2012, Secretariat of the Convention on Biological Diversity
   Chan YK, 2005, SOC INDIC RES, V71, P259, DOI 10.1007/s11205-004-8020-4
   Collins SL, 2002, OIKOS, V99, P571, DOI 10.1034/j.1600-0706.2002.12112.x
   Colombo M.L., 2010, MOST COMMONLY PLANT
   Currie J, 2015, AM ECON REV, V105, P678, DOI 10.1257/aer.20121656
   Dearborn DC, 2010, CONSERV BIOL, V24, P432, DOI 10.1111/j.1523-1739.2009.01328.x
   Dearing MD, 2022, FUNCT ECOL, V36, P2119, DOI 10.1111/1365-2435.14093
   Dümpelmann S, 2020, ONE EARTH, V2, P402, DOI 10.1016/j.oneear.2020.04.017
   EEA, 2020, EEA Report No. 12/2020, DOI [10.2800/324620, DOI 10.2800/324620]
   Esperon-Rodriguez M, 2023, LANDSCAPE URBAN PLAN, V233, DOI 10.1016/j.landurbplan.2023.104705
   European Environment Agency, 2011, Europes Environment: An Assessment of Assessments
   Ferreiro D, 2010, TOP COMPANION ANIM M, V25, P64, DOI 10.1053/j.tcam.2009.07.001
   Frank B., 2017, Sociology International Journal, V1, P1, DOI [DOI 10.15406/SIJ.2017.01.00001, 10.15406/sij.2017.01.00001]
   Garrard GE, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12411
   GAULT G, 1995, RECL MED VET, V171, P171
   Genovese D, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/ace986
   Gilbert O.L., 1989, ECOLOGY URBAN HABITA
   Gillner S, 2017, URBAN ECOSYST, V20, P853, DOI 10.1007/s11252-016-0636-z
   Giménez N, 2017, J EMERG MED, V53, pE41, DOI 10.1016/j.jemermed.2017.04.033
   Greasley D, 2014, J ENVIRON ECON MANAG, V67, P171, DOI 10.1016/j.jeem.2013.12.001
   Hermy M, 2000, LANDSCAPE URBAN PLAN, V49, P149, DOI 10.1016/S0169-2046(00)00061-X
   Hiremath RB, 2013, ENERGY SUSTAIN DEV, V17, P555, DOI 10.1016/j.esd.2013.08.004
   Huang L, 2015, LANDSCAPE ECOL, V30, P1175, DOI 10.1007/s10980-015-0208-2
   Hylander K, 2022, CONSERV BIOL, V36, DOI 10.1111/cobi.13847
   Keeler BL, 2019, NAT SUSTAIN, V2, P29, DOI 10.1038/s41893-018-0202-1
   Konca C, 2014, TURK J EMERG MED, V14, P32, DOI 10.5505/1304.7361.2013.23500
   Kowarik I, 2011, ENVIRON POLLUT, V159, P1974, DOI 10.1016/j.envpol.2011.02.022
   Krigas N, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10040805
   Lehmann S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052932
   McDonald R., 2016, PLANTING HLTH AIR GL
   McPherson EG, 2014, INT J LIFE CYCLE ASS, V19, P1653, DOI 10.1007/s11367-014-0772-8
   Mirakbari SM, 2019, WILD ENVIRON MED, V30, P99, DOI 10.1016/j.wem.2018.09.001
   National Research Council, 2010, Adapting to the impacts of climate change. Adapting to the impacts of climate change, DOI DOI 10.17226/12783
   Oduor AMO, 2013, NEW PHYTOL, V200, P986, DOI 10.1111/nph.12429
   Pamukcu-Albers P, 2021, LANDSCAPE ECOL, V36, P665, DOI 10.1007/s10980-021-01212-y
   Parra-Tabla V, 2021, NEW PHYTOL, V230, P2117, DOI 10.1111/nph.17339
   Pascual U, 2022, BIOSCIENCE, V72, P684, DOI 10.1093/biosci/biac031
   Zari MP, 2022, NAT CLIM CHANGE, V12, P601, DOI 10.1038/s41558-022-01390-w
   Pereira E, 2005, ECOL SOC, V10
   Pereira HM, 2006, TRENDS ECOL EVOL, V21, P123, DOI 10.1016/j.tree.2005.10.015
   Perez G, 2022, ECOSYST SERV, V56, DOI 10.1016/j.ecoser.2022.101459
   Pierce JR, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0235773
   Pintr L., 2014, Use of Indicators in Policy Analysis: Annotated Training Module Prepared for the World Bank Institute
   Prescott-Allen R., 2001, WELLBEING NATIONS
   Raj D, 2019, REND LINCEI-SCI FIS, V30, P649, DOI 10.1007/s12210-019-00831-7
   Reynolds HL, 2022, FRONT ECOL ENVIRON, V20, P231, DOI 10.1002/fee.2446
   Ruf K., 2018, ETC/BD Report to the EEA, ETC/BD Working paper N B/2018
   Salmond JA, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0103-6
   Scholes RJ, 2012, CURR OPIN ENV SUST, V4, P139, DOI 10.1016/j.cosust.2011.12.005
   Schwartz KR, 2017, FRONT ECOL EVOL, V5, DOI 10.3389/fevo.2017.00120
   Serrano R., 2018, Environment and Ecology Research, V6, P487
   Soga M, 2016, FRONT ECOL ENVIRON, V14, P94, DOI 10.1002/fee.1225
   Solecki William, 2013, P485
   Staddon Chad, 2018, Environment Systems & Decisions, V38, P330, DOI 10.1007/s10669-018-9702-9
   stberg J., 2013, Ph.D. Thesis
   Talberth J., 2006, The Genuine Progress Indicator 2006: A Tool for Sustainable Development, Redefining Progress
   Uchiyama Y., 2020, Sustainable Cities and Communities, P300
   United Nations Framework on Climate Change, Biodiversity-Our Strongest Natural Defense against Climate Change
   van den Hove S, 2007, FUTURES, V39, P807, DOI 10.1016/j.futures.2006.12.004
   Verma P, 2018, ECOL INDIC, V93, P282, DOI 10.1016/j.ecolind.2018.05.007
   Walpole M, 2009, SCIENCE, V325, P1503, DOI 10.1126/science.1175466
   Watson JEM, 2012, ADV CLIM CHANG RES, V3, P1, DOI 10.3724/SP.J.1248.2012.00001
   Werner P., 2009, Biodiversity and Cities. A Review and Bibliography, P245
   Wiedmann T., 2010, Sustainability, V2, P1645
   Wilby RL, 2006, PROG PHYS GEOG, V30, P73, DOI 10.1191/0309133306pp470ra
NR 77
TC 0
Z9 0
U1 7
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3298
J9 ENVIRONMENTS
JI Environments
PD JUL
PY 2024
VL 11
IS 7
AR 144
DI 10.3390/environments11070144
PG 21
WC Environmental Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA ZR5T7
UT WOS:001277041700001
OA gold
DA 2025-01-10
ER

PT J
AU Deng, XY
   Yu, WP
   Shi, JA
   Huang, YJ
   Li, DD
   He, XW
   Zhou, W
   Xie, ZY
AF Deng, Xiangyi
   Yu, Wenping
   Shi, Jinan
   Huang, Yajun
   Li, Dandan
   He, Xuanwei
   Zhou, Wei
   Xie, Zunyi
TI Characteristics of surface urban heat islands in global cities of
   different scales: Trends and drivers
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Surface urban heat island; Thermal remote sensing; Urban climate;
   Long-term trend
ID TIME-SERIES; SEASONAL-VARIATIONS; TEMPORAL TRENDS; LONG-TERM;
   TEMPERATURE; MODIS; VEGETATION; CHINESE; CLIMATE; URBANIZATION
AB Given the increasing severity of the surface urban heat island (SUHI) phenomenon, urban residents face heightened heat stress. Consequently, mitigating the effects of SUHI becomes critically important to improve urban livability. Previous studies often overlooked the influence of city size on SUHI, focusing on the correlational between SUHI and drivers and sidelining the synergistic effects of multiple factors on SUHI. To address this issue, we introduced a novel method, " geographical convergent cross-mapping " , coupled with the random forest and Shapley value theory. Our results indicated that: Globally, SUHI exhibited a decreasing trend during day and night, with significant spatiotemporal disparities, and in cities of varying sizes, the cooling capacity of vegetation for SUHI showed significant variation. Locally, in arid cities spanning 150 - 200 km 2 , vegetation contributed to cooling SUHI by up to 61 %, but this effect lessened in larger cities. Notably, in equatorial cities larger than 200 km 2 , this capability dropped drastically during summer, from 49 % to 7 %. Long-term trends showed an increase in daytime SUHI in equatorial regions and large cities along the southeastern coasts of China and the United States. This study provides key insights for precise urban climate adaptation and sustainable planning in cities of different sizes.
C1 [Deng, Xiangyi; Yu, Wenping; Huang, Yajun; Li, Dandan; He, Xuanwei; Zhou, Wei] Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat & R, 2 Tiansheng Rd, Chongqing 400715, Peoples R China.
   [Deng, Xiangyi; Yu, Wenping; Huang, Yajun] Southwest Univ, Yibin Acad, Yibin 644000, Sichuan, Peoples R China.
   [Yu, Wenping] Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data App, Chongqing 400715, Peoples R China.
   [Shi, Jinan] Chongqing Technol & Business Univ, Software Engn Inst, Pass Coll, 593 Jiaotong Rd, Chongqing 401520, Peoples R China.
   [Xie, Zunyi] Henan Univ, Coll Geog & Environm Sci, Kaifeng 475004, Peoples R China.
   [Xie, Zunyi] Univ Queensland, Sch Environm, Brisbane, Qld 4072, Australia.
C3 Southwest University - China; Southwest University - China; Southwest
   University - China; Chongqing Technology & Business University; Henan
   University; University of Queensland
RP Yu, WP (corresponding author), Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat & R, 2 Tiansheng Rd, Chongqing 400715, Peoples R China.; Yu, WP (corresponding author), Southwest Univ, Yibin Acad, Yibin 644000, Sichuan, Peoples R China.; Yu, WP (corresponding author), Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data App, Chongqing 400715, Peoples R China.
EM ywpgis2005@swu.edu.cn
RI Deng, Xiangyi/IUM-5264-2023; Xie, Zunyi/KHY-7553-2024; Li,
   Dandan/ADP-4794-2022; Zhou, Wei/V-3877-2019
FU National Natural Science Foundation of China [42171338, 42371333];
   National Key Research and Development Program [2022YFB3903503]; Sichuan
   Science and Technology Program [2023NSFSC1916]; Special fund for youth
   team of Southwest University [SWU-XJLJ202305]; Southwest University
   Graduate Research Innovation Project [SWUS23077]
FX These authors are grateful for the financial support provided by the
   National Natural Science Foundation of China (42171338, 42371333) ,
   National Key Research and Development Program (2022YFB3903503) , Sichuan
   Science and Technology Program (2023NSFSC1916) , the Special fund for
   youth team of Southwest University (SWU-XJLJ202305) and the Southwest
   University Graduate Research Innovation Project (SWUS23077) .
CR Acosta MP, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2023.105170
   Aleksandrowicz O, 2017, URBAN CLIM, V21, P1, DOI 10.1016/j.uclim.2017.04.002
   Berger C, 2017, REMOTE SENS ENVIRON, V193, P225, DOI 10.1016/j.rse.2017.02.020
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Buyantuyev A, 2010, LANDSCAPE ECOL, V25, P17, DOI 10.1007/s10980-009-9402-4
   Cai DL, 2017, SCI TOTAL ENVIRON, V589, P200, DOI 10.1016/j.scitotenv.2017.02.148
   Cao C, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12509
   Cao Q, 2021, BUILD ENVIRON, V192, DOI 10.1016/j.buildenv.2021.107635
   Chakraborty T, 2019, INT J APPL EARTH OBS, V74, P269, DOI 10.1016/j.jag.2018.09.015
   Clinton N, 2013, REMOTE SENS ENVIRON, V134, P294, DOI 10.1016/j.rse.2013.03.008
   Cui YP, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080706
   Cui YY, 2012, J APPL METEOROL CLIM, V51, P855, DOI 10.1175/JAMC-D-11-0104.1
   Deilami K, 2018, INT J APPL EARTH OBS, V67, P30, DOI 10.1016/j.jag.2017.12.009
   Du HY, 2016, SCI TOTAL ENVIRON, V571, P461, DOI 10.1016/j.scitotenv.2016.07.012
   Duveiller G, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02810-8
   EISENMAN RL, 1967, BEHAV SCI, V12, P396, DOI 10.1002/bs.3830120506
   Elmqvist T, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00018-w
   Elvidge CD, 1997, INT J REMOTE SENS, V18, P1373, DOI 10.1080/014311697218485
   Elvidge CD, 2017, INT J REMOTE SENS, V38, P5860, DOI 10.1080/01431161.2017.1342050
   Estoque RC, 2017, SCI TOTAL ENVIRON, V577, P349, DOI 10.1016/j.scitotenv.2016.10.195
   [方迎波 Fang Yingbo], 2017, [地球科学进展, Advance in Earth Sciences], V32, P187
   Gago EJ, 2013, RENEW SUST ENERG REV, V25, P749, DOI 10.1016/j.rser.2013.05.057
   Gao BB, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-41619-6
   Gao BB, 2022, SPAT STAT-NETH, V50, DOI 10.1016/j.spasta.2022.100621
   Gao BB, 2022, SCI BULL, V67, P232, DOI 10.1016/j.scib.2021.10.002
   Geng XL, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104303
   Gong P, 2020, REMOTE SENS ENVIRON, V236, DOI 10.1016/j.rse.2019.111510
   Good EJ, 2016, J GEOPHYS RES-ATMOS, V121, P8801, DOI 10.1002/2016JD025318
   Haashemi S, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8040352
   Heinl M, 2015, LANDSCAPE URBAN PLAN, V134, P33, DOI 10.1016/j.landurbplan.2014.10.003
   Hooker J, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.246
   Hou HR, 2023, SUSTAIN CITIES SOC, V92, DOI 10.1016/j.scs.2023.104513
   Hou HR, 2022, SCI TOTAL ENVIRON, V829, DOI 10.1016/j.scitotenv.2022.154710
   Hsu F.-C., 2013, Proc. Asia-Pac. Adv. Netw, V35, P62, DOI [10.7125/APAN.35.7, DOI 10.7125/APAN.35.7]
   Huang KN, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4b71
   Huang X, 2019, ISPRS J PHOTOGRAMM, V152, P119, DOI 10.1016/j.isprsjprs.2019.04.010
   Imhoff ML, 2010, REMOTE SENS ENVIRON, V114, P504, DOI 10.1016/j.rse.2009.10.008
   Jamei E, 2016, RENEW SUST ENERG REV, V54, P1002, DOI 10.1016/j.rser.2015.10.104
   James G, 2013, SPRINGER TEXTS STAT, V103, P1, DOI 10.1007/978-1-4614-7138-7_1
   Jarvis A., 2008, HOLE FILLED SRTM GLO
   Jin K, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102488
   Karabulut M., 2008, Int. J. Environmental Application and Science, V3, P399
   Kendall M. G., 1948, Rank correlation methods.
   Lai JM, 2021, REMOTE SENS ENVIRON, V253, DOI 10.1016/j.rse.2020.112198
   Lai JM, 2018, REMOTE SENS ENVIRON, V217, P203, DOI 10.1016/j.rse.2018.08.021
   Lam CKC, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102971
   Lemus-Canovas M, 2020, SCI TOTAL ENVIRON, V699, DOI 10.1016/j.scitotenv.2019.134307
   Lewis SL, 2015, NATURE, V519, P171, DOI 10.1038/nature14258
   Li D, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau4299
   Li HD, 2018, SCI TOTAL ENVIRON, V636, P818, DOI 10.1016/j.scitotenv.2018.04.254
   Li JF, 2021, BUILD ENVIRON, V199, DOI 10.1016/j.buildenv.2021.107935
   Li KN, 2022, REMOTE SENS ENVIRON, V271, DOI 10.1016/j.rse.2022.112898
   Li KN, 2019, SCI TOTAL ENVIRON, V669, P229, DOI 10.1016/j.scitotenv.2019.03.100
   Li KN, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10101650
   Li L, 2020, INT J APPL EARTH OBS, V90, DOI 10.1016/j.jag.2020.102131
   Li XM, 2017, SCI TOTAL ENVIRON, V605, P426, DOI 10.1016/j.scitotenv.2017.06.229
   Li XC, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9be3
   Li YT, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-35799-4
   Li Z.-L., 2020, Progress in Electromagnetics Research C, V102, P31, DOI [10.2528/PIERC20020403, DOI 10.2528/PIERC20020403, 10.2528/pierc20020403]
   Liu HM, 2023, REMOTE SENS ENVIRON, V296, DOI 10.1016/j.rse.2023.113735
   Liu SD, 2021, BUILD ENVIRON, V202, DOI 10.1016/j.buildenv.2021.108051
   Liu ZH, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00539-x
   Liu ZH, 2022, ISPRS J PHOTOGRAMM, V187, P14, DOI 10.1016/j.isprsjprs.2022.02.019
   Liu ZH, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2021GL096842
   Lu DS, 2006, REMOTE SENS ENVIRON, V104, P157, DOI 10.1016/j.rse.2005.11.015
   Lundberg SM, 2017, ADV NEUR IN, V30
   Ma T, 2012, REMOTE SENS ENVIRON, V124, P99, DOI 10.1016/j.rse.2012.04.018
   MANLEY G, 1958, Q J ROY METEOR SOC, V84, P70, DOI 10.1002/qj.49708435910
   Manoli G, 2020, P NATL ACAD SCI USA, V117, P7082, DOI 10.1073/pnas.1917554117
   Manoli G, 2019, NATURE, V573, P55, DOI 10.1038/s41586-019-1512-9
   Martilli A, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100541
   Meng CL, 2016, SCI REP-UK, V6, DOI 10.1038/srep24337
   Ming YJ, 2023, SUSTAIN CITIES SOC, V89, DOI 10.1016/j.scs.2022.104350
   Mohajerani A, 2017, J ENVIRON MANAGE, V197, P522, DOI 10.1016/j.jenvman.2017.03.095
   Molnar C, 2020, COMM COM INF SC, V1323, P417, DOI 10.1007/978-3-030-65965-3_28
   Naeem S, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7020038
   Ngarambe J, 2021, J HAZARD MATER, V403, DOI 10.1016/j.jhazmat.2020.123615
   Oukawa GY, 2024, SUSTAIN CITIES SOC, V102, DOI 10.1016/j.scs.2024.105204
   Oukawa GY, 2022, SCI TOTAL ENVIRON, V815, DOI 10.1016/j.scitotenv.2021.152836
   Peng J, 2018, SCI TOTAL ENVIRON, V635, P487, DOI 10.1016/j.scitotenv.2018.04.105
   Peng J, 2016, REMOTE SENS ENVIRON, V173, P145, DOI 10.1016/j.rse.2015.11.027
   Peng SS, 2012, ENVIRON SCI TECHNOL, V46, P696, DOI 10.1021/es2030438
   Qiao RL, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108457
   Quan JL, 2016, J GEOPHYS RES-ATMOS, V121, P2638, DOI 10.1002/2015JD024354
   Rasul A, 2017, LAND-BASEL, V6, DOI 10.3390/land6020038
   Roth M., 2002, P WORKSH IGESI APN M, P23
   Rubel F, 2010, METEOROL Z, V19, P135, DOI 10.1127/0941-2948/2010/0430
   Runge J, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10105-3
   Santamouris M, 2015, ENERG BUILDINGS, V98, P119, DOI 10.1016/j.enbuild.2014.09.052
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   She YH, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac4630
   Shen HF, 2016, REMOTE SENS ENVIRON, V172, P109, DOI 10.1016/j.rse.2015.11.005
   Shen PK, 2023, REMOTE SENS ENVIRON, V284, DOI 10.1016/j.rse.2022.113361
   Shen PK, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2020JD033521
   Si ML, 2022, ISPRS J PHOTOGRAMM, V183, P321, DOI 10.1016/j.isprsjprs.2021.11.017
   Sismanidis P, 2015, 2015 JOINT URBAN REMOTE SENSING EVENT (JURSE)
   Strumbelj E, 2014, KNOWL INF SYST, V41, P647, DOI 10.1007/s10115-013-0679-x
   Sugihara G, 2012, SCIENCE, V338, P496, DOI 10.1126/science.1227079
   Sun YM, 2014, ENERG BUILDINGS, V77, P171, DOI 10.1016/j.enbuild.2014.03.055
   Thompson JA, 2017, REMOTE SENS ENVIRON, V199, P1, DOI 10.1016/j.rse.2017.06.032
   Ulpiani G, 2021, SCI TOTAL ENVIRON, V751, DOI 10.1016/j.scitotenv.2020.141727
   United Nations S.., 2022, Goal 11: Make cities inclusive, safe, resilient and sustainable
   Venter ZS, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abb9569
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Wan ZM, 2008, REMOTE SENS ENVIRON, V112, P59, DOI 10.1016/j.rse.2006.06.026
   Wan ZM, 2014, REMOTE SENS ENVIRON, V140, P36, DOI 10.1016/j.rse.2013.08.027
   Wan ZM, 1996, IEEE T GEOSCI REMOTE, V34, P892, DOI 10.1109/36.508406
   Wang CL, 2023, SUSTAIN CITIES SOC, V97, DOI 10.1016/j.scs.2023.104749
   Wang J, 2015, REMOTE SENS-BASEL, V7, P3670, DOI 10.3390/rs70403670
   Wang L, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12233929
   Wang XJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030587
   Wu JS, 2013, REMOTE SENS ENVIRON, V134, P111, DOI 10.1016/j.rse.2013.03.001
   Wu ZF, 2019, ENVIRON REV, V27, P241, DOI 10.1139/er-2018-0029
   Wu ZQ, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156348
   Xia HP, 2022, REMOTE SENS ENVIRON, V273, DOI 10.1016/j.rse.2022.112972
   Xie QJ, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031132
   Yang CB, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9101066
   Yang C, 2024, SUSTAIN CITIES SOC, V101, DOI 10.1016/j.scs.2023.105093
   Yang JC, 2018, J APPL METEOROL CLIM, V57, P1309, DOI 10.1175/JAMC-D-17-0265.1
   Yang QQ, 2019, SCI TOTAL ENVIRON, V655, P652, DOI 10.1016/j.scitotenv.2018.11.171
   Yao R, 2017, SCI TOTAL ENVIRON, V609, P742, DOI 10.1016/j.scitotenv.2017.07.217
   Yu M, 2012, ATMOS ENVIRON, V60, P544, DOI 10.1016/j.atmosenv.2012.06.075
   Yuan Y, 2022, ENVIRON INT, V170, DOI 10.1016/j.envint.2022.107574
   Zeng ZZ, 2017, NAT CLIM CHANGE, V7, P432, DOI [10.1038/NCLIMATE3299, 10.1038/nclimate3299]
   Zhang P, 2012, CAN J REMOTE SENS, V38, P441
   Zhang P, 2010, CAN J REMOTE SENS, V36, P185, DOI 10.5589/m10-039
   Zhang YJ, 2017, LANDSCAPE URBAN PLAN, V165, P162, DOI 10.1016/j.landurbplan.2017.04.009
   Zhao SQ, 2016, P NATL ACAD SCI USA, V113, P6313, DOI 10.1073/pnas.1602312113
   Zhong S, 2018, GEOPHYS RES LETT, V45, P6710, DOI 10.1029/2018GL077239
   Zhou B, 2013, GEOPHYS RES LETT, V40, P5486, DOI 10.1002/2013GL057320
   Zhou B, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-04242-2
   Zhou DC, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11010048
   Zhou DC, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074009
   Zhou DC, 2015, SCI REP-UK, V5, DOI 10.1038/srep11160
   Zhou DC, 2014, REMOTE SENS ENVIRON, V152, P51, DOI 10.1016/j.rse.2014.05.017
NR 135
TC 13
Z9 13
U1 71
U2 100
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 JUL 15
PY 2024
VL 107
AR 105483
DI 10.1016/j.scs.2024.105483
EA MAY 2024
PG 19
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 SY7T8
UT WOS:001238084000001
DA 2025-01-10
ER

PT J
AU Ling, SD
   Keane, JP
AF Ling, Scott D.
   Keane, John P.
TI Climate-driven invasion and incipient warnings of kelp ecosystem
   collapse
SO NATURE COMMUNICATIONS
LA English
DT Article
ID CATASTROPHIC SHIFTS; URCHIN; ABALONE; REEFS; BEDS
AB Climate change is progressively redistributing species towards the Earth's poles, indicating widespread potential for ecosystem collapse. Detecting early-warning-signals and enacting adaptation measures is therefore a key imperative for humanity. However, detecting early-warning signals has remained elusive and has focused on exceptionally high-frequency and/ or long-term time-series, which are generally unattainable for most ecosystems that are under-sampled and already impacted by warming. Here, we show that a catastrophic phase-shift in kelp ecosystems, caused by range-extension of an overgrazing sea urchin, also propagates poleward. Critically, we show that incipient spatial-pattern-formations of kelp overgrazing are detectable well-in-advance of collapse along temperate reefs in the ocean warming hotspot of south-eastern Australia. Demonstrating poleward progression of collapse over 15 years, these early-warning 'incipient barrens' are now widespread along 500 km of coast with projections indicating that half of all kelp beds within this range-extension region will collapse by similar to 2030. Overgrazing was positively associated with deep boulder-reefs, yet negatively associated with predatory lobsters and subordinate abalone competitors, which have both been intensively fished. Climate-driven collapse of ecosystems is occurring; however, by looking equatorward, space-for-time substitutions can enable practical detection of early-warning spatial-pattern-formations, allowing local climate adaptation measures to be enacted in advance.
C1 [Ling, Scott D.; Keane, John P.] Univ Tasmania, Inst Marine & Antarctic Studies, Private Bag 129, Hobart, Tas 7001, Australia.
C3 University of Tasmania
RP Ling, SD (corresponding author), Univ Tasmania, Inst Marine & Antarctic Studies, Private Bag 129, Hobart, Tas 7001, Australia.
EM Scott.Ling@utas.edu.au
RI Ling, Scott/J-7161-2014
OI Ling, Scott/0000-0002-5544-8174; Keane, John Patrick/0000-0001-8950-5176
FU Sustainable Marine Research Collaboration Agreement, Tasmanian State
   Government [2001/02 survey16]; Fisheries Research and Development
   Corporation [2001/044]; Sustainable Marine Research Collaboration
   Agreement, Tasmanian Government [FT200100949]; Australian Research
   Council [FT200100949] Funding Source: Australian Research Council
FX We acknowledge Craig Johnson for initiating the 2001/02 survey16, funded
   by the Fisheries Research and Development Corporation (Project No.
   2001/044). We thank a team of survey divers including Jeff Ross, Dave
   Stevenson, Robbie Kilpatrick, Simon Talbot, Sarah-Jane Pyke, Craig
   Sanderson, Gabrielle Dominguez, Edward Forbes, Jane Ruckert, Olivia
   Johnson, Laurel Johnston, Martin Filleul and Elizabeth Oh. Dave
   Stevenson, Jane Ruckert, Olivia Johnson, Ellie Paine and Amy Nau
   assisted with analysis of towed-video data. Ken Ridgway assisted with
   producing sea surface temperature plot in Fig. 1a. The 2016/17 survey
   was funded by the Sustainable Marine Research Collaboration Agreement,
   Tasmanian Government (to S.D.L.). This research was supported by the
   Australian Research Council (FT200100949 to S.D.L.).
CR ANDREW NL, 1992, AUST J MAR FRESH RES, V43, P1547
   Andrew NL, 2000, MAR FRESHWATER RES, V51, P255, DOI 10.1071/MF99008
   [Anonymous], 2005, Establishment of the long-spined sea urchin (Centrostephanus rodgersii) in Tasmania: first assessment of potential threats to fisheries
   Cresswell K., 2019, Centrostephanus subsidy program: initial evaluation, P26
   Flukes EB, 2012, MAR ECOL PROG SER, V464, P179, DOI 10.3354/meps09881
   Gervais CR, 2021, GLOBAL CHANGE BIOL, V27, P3200, DOI 10.1111/gcb.15634
   Hughes TP, 2017, NATURE, V543, P373, DOI 10.1038/nature21707
   Hughes TP, 2013, TRENDS ECOL EVOL, V28, P149, DOI 10.1016/j.tree.2012.08.022
   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]
   Johnson C. R., 2013, REBUILDING ECOSYSTEM
   Johnson CR, 2011, J EXP MAR BIOL ECOL, V400, P17, DOI 10.1016/j.jembe.2011.02.032
   Ling SD, 2008, OECOLOGIA, V156, P883, DOI 10.1007/s00442-008-1043-9
   Ling SD, 2015, PHILOS T R SOC B, V370, DOI 10.1098/rstb.2013.0269
   Ling SD, 2012, ECOL APPL, V22, P1232, DOI 10.1890/11-1587.1
   Ling SD, 2010, J EXP MAR BIOL ECOL, V395, P135, DOI 10.1016/j.jembe.2010.08.027
   Ling SD, 2009, P NATL ACAD SCI USA, V106, P22341, DOI 10.1073/pnas.0907529106
   Ling SD, 2009, GLOBAL CHANGE BIOL, V15, P719, DOI 10.1111/j.1365-2486.2008.01734.x
   Ling SD, 2009, MAR ECOL PROG SER, V374, P113, DOI 10.3354/meps07729
   Ling SD, 2008, GLOBAL CHANGE BIOL, V14, P907, DOI 10.1111/j.1365-2486.2008.01543.x
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Perkins NR, 2015, ESTUAR COAST SHELF S, V155, P56, DOI 10.1016/j.ecss.2015.01.014
   Ridgway KR, 2023, PROG OCEANOGR, V215, DOI 10.1016/j.pocean.2023.103046
   Rietkerk M, 2004, SCIENCE, V305, P1926, DOI 10.1126/science.1101867
   Sanderson JC, 2016, MAR FRESHWATER RES, V67, P84, DOI 10.1071/MF14255
   Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000
   Scheffer M, 2012, SCIENCE, V338, P344, DOI 10.1126/science.1225244
   Scheffer M, 2009, NATURE, V461, P53, DOI 10.1038/nature08227
   Strain EMA, 2009, MAR ECOL PROG SER, V377, P169, DOI 10.3354/meps07816
   Tracey SR, 2015, BIOL INVASIONS, V17, P1885, DOI 10.1007/s10530-015-0845-z
   Vergés A, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.0846
   Wernberg T, 2016, SCIENCE, V353, P169, DOI 10.1126/science.aad8745
NR 31
TC 2
Z9 3
U1 5
U2 16
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD JAN 9
PY 2024
VL 15
IS 1
AR 400
DI 10.1038/s41467-023-44543-x
PG 9
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA EN2K4
UT WOS:001139536800011
PM 38195631
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Roy, R
   Monju, MH
   Tan, ML
   Rahman, MS
   Kundu, S
   Rahman, MS
   Talukder, B
   Bhuyan, MS
AF Roy, Ranjan
   Monju, Moynul Hasan
   Tan, Mou Leong
   Rahman, Md. Sadique
   Kundu, Shilpi
   Rahman, Md. Shahinoor
   Talukder, Byomkesh
   Bhuyan, Md. Simul
TI Determining synergies and trade-offs between adaptation, mitigation and
   development in coastal socio-ecological systems in Bangladesh
SO ENVIRONMENTAL DEVELOPMENT
LA English
DT Article
DE Coastal resilience; Sustainable intensification of coastal; agriculture;
   Integrated climate strategy; Climate-smart farming; Integrated coastal
   zone management
ID DPSIR FRAMEWORK; CLIMATE-CHANGE; SOIL RESPIRATION; MARINE FISHERIES;
   MANAGEMENT; ECOSYSTEM; IMPACT; REGION; SUSTAINABILITY; STRATEGIES
AB Mapping synergies and trade-offs is crucial for managing climate change impacts on coastal socioecological systems (SESs) through integrated response. This study employed the DPSIR (drivers, pressures, states, impacts, and responses) framework, focus group discussions, and participatory workshops to determine synergies, and trade-offs and develop measures to maximize synergies and minimize trade-offs between adaptation, mitigation and development in five coastal SESs in Bangladesh. The findings indicated that climate-smart farming was a major intervention that facilitated synergies between agricultural production and climate adaptation and mitigation. The major trade-off identified was that between agricultural production and the overexploitation of marine and coastal resources. The findings also revealed that overall, synergies were more prevalent than trade-offs in the coastal SESs. Three broad measures (namely, government's financial, institutional and regulatory support) were devised for maximizing synergies and minimizing trade-offs depending mainly on the pace and magnitude of adopting climate-resilient and/or -smart approaches needed to attain multiple societal objectives simultaneously. Critical policy implications include developing innovative financial mechanisms, strengthening natural resources stewardship, investing in sustainable intensification of polder agriculture, and improving coastal institutional scaffolds for building climate-resilient coastal zones.
C1 [Roy, Ranjan; Monju, Moynul Hasan; Kundu, Shilpi] Sher E Bangla Agr Univ, Dept Agr Extens & Informat Syst, Dhaka, Bangladesh.
   [Tan, Mou Leong] Univ Sains Malaysia, Sch Humanities, Geog Sect, Gelugor 11800, Penang, Malaysia.
   [Rahman, Md. Sadique] Sher E Ebangla Agr Univ, Dept Management & Finance, Dhaka, Bangladesh.
   [Rahman, Md. Shahinoor] New Jersey City Univ, Dept Earth & Environm Sci, Jersey City, NJ USA.
   [Talukder, Byomkesh] York Univ, Dahdaleh Inst Global Hlth Res, Toronto, ON, Canada.
   [Bhuyan, Md. Simul] Bangladesh Oceanog Res Inst, Coxs Bazar 4730, Bangladesh.
   [Roy, Ranjan] Sher E Bangla Agr Univ, Dept Agr Extens & Informat Syst, Dhaka 1207, Bangladesh.
C3 Sher-e-Bangla Agricultural University (SAU); Universiti Sains Malaysia;
   New Jersey City University; York University - Canada; Sher-e-Bangla
   Agricultural University (SAU)
RP Roy, R (corresponding author), Sher E Bangla Agr Univ, Dept Agr Extens & Informat Syst, Dhaka 1207, Bangladesh.
EM ranjan@sau.edu.bd
RI Rahman, Sadique/AAP-2118-2020; Bhuyan, Md. Simul/H-9591-2018; Tan,
   Mou/N-4678-2017; Rahman, Md Shahinoor/C-1490-2017
OI Rahman, Md Shahinoor/0000-0001-5540-3307
FU Ministry of Education, Bangladesh [SD20201476]
FX The writing of this paper was supported by the Ministry of Education,
   Bangladesh [Grant No. SD20201476] . We are grateful to them and to the
   Bangladesh Bureau of Educational Information and Statistics (BANBEIS) .
CR Adams H., 2018, Ecosystem Services for Well-Being in Deltas, P405, DOI 10.1007/978-3-319-71093-8_22
   Agarwal N., 2019, Getting the Shrimp's Share. Mangrove Deforestation and Shrimp Consumption, Assessment and Alternatives, P102
   Ahmed A.U., 2016, Technological and Institutional Innovations for Marginalized Smallholders in Agricultural Development, P241, DOI [DOI 10.1007/978-3-319-25718-1_15, 10.1007/978-3-319-25718-1_15]
   Ahmed AU., 2019, STATUS CLIMATE CHANG, P125, DOI [10.1007/978-3-319-99347-8_7, DOI 10.1007/978-3-319-99347-8_7]
   Akinyi DP, 2021, REG SUSTAIN, V2, P130, DOI 10.1016/j.regsus.2021.05.002
   Al-Mamun S., 2011, Journal of Environmental Science and Natural Resources, V4, P127, DOI 10.3329/jesnr.v4i2.10161
   [Anonymous], 2016, Bangladesh Disaster Related Statistics 2015
   [Anonymous], 2015, Principles for building resilience: sustaining ecosystem services in social-ecological systems, DOI [DOI 10.1017/CBO9781316014240.002, 10.1017/CBO9781316014240, DOI 10.1017/CBO9781316014240]
   [Anonymous], 1999, European Environment Agency Technical Report, P1
   [Anonymous], 2005, Coastal zone policy. Government of the Peoples Republic of Bangladesh
   [Anonymous], 2006, COASTAL DEV STRATEGY
   [Anonymous], 1995, Social Sciences in Health
   Arslan A., 2019, Impact assessment report: Coastal Climate Resilience Infrastructure Project (CCRIP), Peoples Republic of Bangladesh
   Atkins JP, 2011, MAR POLLUT BULL, V62, P215, DOI 10.1016/j.marpolbul.2010.12.012
   Azad A.K., 2005, Bangladesh J. Ext. Educ., V17, P33
   Ba BH, 2016, RENEW ENERG, V87, P977, DOI 10.1016/j.renene.2015.07.045
   Bangladesh Bureau of Statistics, 2016, Yearbook of Agricultural Statistics of Bangladesh 2014
   Bangladesh Rice Research Institute, 2014, Fact Sheet: Varieties of Boro Rice
   Basak J., 2009, INT Center, V38, P9
   Behnassi M., 2014, VULNERABILITY AGR WA
   Bidone ED, 2004, REG ENVIRON CHANGE, V4, P5, DOI 10.1007/s10113-003-0059-2
   Bruley E, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01760-8
   Canonizado J.A., 1998, Integrated forest management plan for the Sundarbans reserved forest
   Chan NW, 2016, WATER-SUI, V8, DOI 10.3390/w8090403
   Dasgupta S., 2014, World Bank Policy Research Working Paper No. 7140
   Dastagir MR, 2015, WEATHER CLIM EXTREME, V7, P49, DOI 10.1016/j.wace.2014.10.003
   de Jonge VN, 2012, OCEAN COAST MANAGE, V68, P169, DOI 10.1016/j.ocecoaman.2012.05.017
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Department of Fisheries Bangladesh, 2019, Yearbook of Fisheries Statistics of Bangladesh, 2018-19. Fisheries Resources Survey System (FRSS)
   Didar-Ul Islam SM, 2016, AQUACULT INT, V24, P1163, DOI 10.1007/s10499-016-9978-z
   Ding WX, 2006, ATMOS ENVIRON, V40, P3294, DOI 10.1016/j.atmosenv.2006.01.045
   Duguma LA, 2014, ENVIRON MANAGE, V54, P420, DOI 10.1007/s00267-014-0331-x
   FAO, 2012, Master Plan for Agricultural Development in the Southern Region of Bangladesh
   FAO, 2015, POLICY BRIEF
   Freitas H., 1998, ISRC working paper, 10298
   General Economics Division, 2018, Bangladesh Delta Plan (BDP) 2100
   General Economics Division, 2020, 8th Five Year Plan: July 2020 - June 2025. Promoting prosperity and fostering inclusiveness
   Giupponi C, 2007, ENVIRON MODELL SOFTW, V22, P248, DOI 10.1016/j.envsoft.2005.07.024
   Government of Bangladesh, 2021, MUJIB CLIMATE PROSPE
   Green JM, 2003, HEALTH RISK SOC, V5, P33, DOI 10.1080/1369857031000065998
   Haines A, 2017, NAT CLIM CHANGE, V7, P863, DOI 10.1038/s41558-017-0012-x
   Hamza MA, 2005, SOIL TILL RES, V82, P121, DOI 10.1016/j.still.2004.08.009
   Hegre H, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208729
   Hossain MS, 2013, REV ENVIRON SCI BIO, V12, P313, DOI 10.1007/s11157-013-9311-5
   Hossain M. S. S., 2019, Resilience in Action: Challenges and Solutions to Climate Change in Bangladesh, P27
   Hossain MS, 2016, REG ENVIRON CHANGE, V16, P429, DOI 10.1007/s10113-014-0748-z
   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]
   Islam MS, 2004, MAR POLLUT BULL, V48, P624, DOI 10.1016/j.marpolbul.2003.12.004
   Islam MS, 2003, OCEAN COAST MANAGE, V46, P763, DOI 10.1016/S0964-5691(03)00064-4
   Islam Shafi Noor, 2008, Frontiers of Earth Science in China, V2, P439, DOI 10.1007/s11707-008-0049-2
   Kagalou I, 2012, WATER RESOUR MANAG, V26, P1677, DOI 10.1007/s11269-012-9980-9
   Karageorgis AP, 2006, ENVIRON MANAGE, V38, P304, DOI 10.1007/s00267-004-0290-8
   Kassam A, 2012, FIELD CROP RES, V132, P7, DOI 10.1016/j.fcr.2012.02.023
   Kelble CR, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0070766
   Kendrick A., 1994, The Gher Revolution: the Social Impacts of Technological Change in Freshwater Prawn Cultivation in Southern Bangladesh
   Khan MF, 2010, STUD ISLAM FINANC AC, P1, DOI 10.1109/CEC.2010.5586547
   KITZINGER J, 1994, SOCIOL HEALTH ILL, V16, P103, DOI 10.1111/1467-9566.ep11347023
   Kloos J., 2013, Report 10
   Kuzyakov Y, 2004, PLANT SOIL, V263, P85, DOI 10.1023/B:PLSO.0000047728.61591.fd
   Langou G.D., 2020, Leveraging Synergies and Tackling Trade-Offs Among Specific Goals. Global State of the SDGs: Three Layers of Critical Action (Report 2019)
   Laurikka H., 2013, Guest Article: Synergies between Mitigation and Adaptation Exist in Several Sectors
   Lázár AN, 2015, ENVIRON SCI-PROC IMP, V17, P1018, DOI [10.1039/c4em00600c, 10.1039/C4EM00600C]
   Leslie HM, 2015, P NATL ACAD SCI USA, V112, P5979, DOI 10.1073/pnas.1414640112
   Lewison RL, 2016, ENVIRON SCI POLICY, V56, P110, DOI 10.1016/j.envsci.2015.11.001
   Lobell DB, 2007, CLIMATIC CHANGE, V81, P187, DOI 10.1007/s10584-006-9141-3
   Locatelli B, 2015, RESTOR ECOL, V23, P337, DOI 10.1111/rec.12209
   Mainali B, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030815
   Mallick B, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123332
   Maya KA, 2019, CLIM CHANG ECON, V10, DOI 10.1142/S201000781950012X
   Ministry of Environment Forest and Climate Change, 2021, NATIONALLY DETERMINE
   Ministry of Water Resources Government of the People's Republic of Bangladesh, 2006, Coastal Development Strategy 2006
   Nerini FF, 2018, NAT ENERGY, V3, P10, DOI 10.1038/s41560-017-0036-5
   Nicholls RJ, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P315
   Ojeda-Martinez C, 2009, OCEAN COAST MANAGE, V52, P89, DOI 10.1016/j.ocecoaman.2008.10.004
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Pacheco A, 2007, OCEAN COAST MANAGE, V50, P119, DOI 10.1016/j.ocecoaman.2006.08.008
   Páez-Osuna F, 2001, ENVIRON MANAGE, V28, P131, DOI 10.1007/s002670010212
   Paul BG, 2011, OCEAN COAST MANAGE, V54, P201, DOI 10.1016/j.ocecoaman.2010.12.001
   Price G., 2016, Rethinking Water-Climate Cooperation in South Asia
   Qi Jeffrey, 2022, ADDRESSING CLIMATE C
   Ranjan Roy Ranjan Roy, 2013, Journal of Environmental Protection, V4, P40
   Refulio-Coronado S, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.648006
   Ren XE, 2007, CHINESE SCI BULL, V52, P2722, DOI 10.1007/s11434-007-0346-2
   Roy R, 2019, ECOL INDIC, V106, DOI 10.1016/j.ecolind.2019.105525
   Roy R, 2018, CLIM CHANG MANAG, P39, DOI 10.1007/978-3-319-69838-0_3
   Schipper ELF., 2022, Climate Change 2022: Impacts, P2655, DOI [10.1017/9781009325844.027.2655, DOI 10.1017/9781009325844.027.2655, 10.1017/ 9781009325844.027, DOI 10.1017/9781009325844.027]
   Shahidullah M., 1994, Bangladesh J. For. Sci., V23, P26
   Shrestha S, 2019, J ENVIRON MANAGE, V235, P535, DOI 10.1016/j.jenvman.2019.01.035
   Simelton E, 2013, CLIM DEV, V5, P123, DOI 10.1080/17565529.2012.751893
   Srinivasan S., 2019, 6 INT C DUR CONCR ST
   Suckall N, 2014, APPL GEOGR, V46, P111, DOI 10.1016/j.apgeog.2013.11.005
   Talukder B, 2016, RENEW AGR FOOD SYST, V31, P148, DOI 10.1017/S1742170515000095
   Thornton TF, 2010, ENVIRON SOC, V1, P132, DOI 10.3167/ares.2010.010107
   Trinh T., 2016, CCAFS Working Paper No. 169
   Troell M., 2009, FAO Fisheries and Aquaculture Technical Paper, P47
   Uddin MN, 2019, APPL GEOGR, V102, P47, DOI 10.1016/j.apgeog.2018.12.011
   Uddin SMM, 2014, J FORESTRY RES, V25, P605, DOI 10.1007/s11676-014-0448-z
   Upazila Fisheries Office, 2017, Annual Report 2017
   Weitz N, 2018, SUSTAIN SCI, V13, P531, DOI 10.1007/s11625-017-0470-0
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   World Bank, 2016, High and Dry: Climate Change, Water, and the Economy
   Xu YY, 2017, P NATL ACAD SCI USA, V114, P10315, DOI 10.1073/pnas.1618481114
NR 102
TC 0
Z9 0
U1 5
U2 12
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 2023
VL 48
AR 100936
DI 10.1016/j.envdev.2023.100936
EA OCT 2023
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA Y9SG7
UT WOS:001108580200001
DA 2025-01-10
ER

PT J
AU Kaliba, AR
   Gongwe, AG
   Mazvimavi, K
   Yigletu, A
AF Kaliba, Aloyce R.
   Gongwe, Anne G.
   Mazvimavi, Kizito
   Yigletu, Ashagre
TI Impact of Adopting Improved Seeds on Access to Broader Food Groups Among
   Small-Scale Sorghum Producers in Tanzania
SO SAGE OPEN
LA English
DT Article
DE dietary diversity; doubly robust; improved sorghum varieties; inverse
   probability treatment weighting; Tanzania; weighted regression
ID DOUBLY ROBUST ESTIMATION; DIETARY DIVERSITY; PROPENSITY SCORE; CAUSAL
   INFERENCE; NUTRITIONAL-STATUS; AGRICULTURAL TECHNOLOGIES;
   SOCIOECONOMIC-STATUS; FARMING HOUSEHOLDS; MATCHING METHODS; MISSING DATA
AB In this study, we use double-robust estimators (i.e., inverse probability weighting and inverse probability weighting with regression adjustment) to quantify the effect of adopting climate-adaptive improved sorghum varieties on household and women dietary diversity scores in Tanzania. The two indicators, respectively, measure access to broader food groups and micronutrient and macronutrient availability among children and women of reproductive age. The selection of sample households was through a multistage sampling technique, and the population was all households in the sorghum-producing regions of Central, Northern, and Northwestern Tanzania. Before data collection, enumerators took part in a 1-week training workshop and later collected data from 822 respondents using a structured questionnaire. The main results from the study show that the adoption of improved sorghum seeds has a positive effect on both household and women dietary diversity scores. Access to quality food groups improves nutritional status, food security adequacy, and general welfare of small-scale farmers in developing countries. Agricultural projects that enhance access to improved seeds are, therefore, likely to generate a positive and sustainable effect on food security and poverty alleviation in sorghum-producing regions of Tanzania.
C1 [Kaliba, Aloyce R.; Yigletu, Ashagre] Southern Univ & A&M Coll, Baton Rouge, LA USA.
   [Gongwe, Anne G.] Int Crop Res Inst Semiarid Crops, Bulawayo, Zimbabwe.
   [Mazvimavi, Kizito] St Augustine Univ Tanzania, Mwanza, Tanzania.
C3 Southern University System; Southern University & A&M College
RP Kaliba, AR (corresponding author), Southern Univ & A&M Coll, Coll Business, TT Allain Suit 251,POB 9723, Baton Rouge, LA 70813 USA.
EM aloyce_kaliba@subr.edu
FU International Crop Research Institute for Semi-Arid Tropics (ICRISAT) in
   Nairobi, Kenya
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: The
   International Crop Research Institute for Semi-Arid Tropics (ICRISAT) in
   Nairobi, Kenya, funded this study under the Monitoring, Evaluation,
   Impact, and policy East Africa Program. However, the view expressed in
   this paper are those of the authors and do not necessarily represent
   ICRISAT's view.
CR Abadie A, 2006, ECONOMETRICA, V74, P235, DOI 10.1111/j.1468-0262.2006.00655.x
   Abebe Y., 2015, J. Agric. Econ. Dev., V4, P37
   Ainembabazi JH, 2014, J DEV STUD, V50, P666, DOI 10.1080/00220388.2013.874556
   Amare M, 2012, AGR ECON-BLACKWELL, V43, P27, DOI 10.1111/j.1574-0862.2011.00563.x
   Angrist JD, 2009, MOSTLY HARMLESS ECONOMETRICS: AN EMPIRICISTS COMPANION, P1
   [Anonymous], 1996, POPUL DEV REV, V22, P807
   [Anonymous], 2007, 4211 WORLD BANK
   [Anonymous], 2006, FHI 360FANTA
   Arimond M, 2004, J NUTR, V134, P2579, DOI 10.1093/jn/134.10.2579
   Asfaw S, 2012, FOOD POLICY, V37, P283, DOI 10.1016/j.foodpol.2012.02.013
   Austin PC, 2007, STAT MED, V26, P754, DOI 10.1002/sim.2618
   Austin PC, 2011, MULTIVAR BEHAV RES, V46, P399, DOI 10.1080/00273171.2011.568786
   Austin PC, 2009, STAT MED, V28, P3083, DOI 10.1002/sim.3697
   Awel Y.M., 2014, Productivity and welfare effects of weather index insurance: Quasi-experimental evidence
   Awotide B.A., 2016, AGR FOOD EC, V4, P3, DOI [DOI 10.1186/S40100-016-0047-8, 10.1186/s40100-016-0047-8]
   Bang H, 2005, BIOMETRICS, V61, P962, DOI 10.1111/j.1541-0420.2005.00377.x
   Becquey E, 2010, J NUTR, V140, P2233, DOI 10.3945/jn.110.125716
   Bingham S.A., 1997, DESIGN CONCEPTS NUTR
   Burnham KP, 2004, SOCIOL METHOD RES, V33, P261, DOI 10.1177/0049124104268644
   Caliendo M, 2008, J ECON SURV, V22, P31, DOI 10.1111/j.1467-6419.2007.00527.x
   Cattaneo MD, 2010, J ECONOMETRICS, V155, P138, DOI 10.1016/j.jeconom.2009.09.023
   Chakona G, 2017, NUTRIENTS, V9, DOI 10.3390/nu9080812
   CHARNES A, 1978, EUR J OPER RES, V2, P429, DOI 10.1016/0377-2217(78)90138-8
   Dehejia RH, 1999, J AM STAT ASSOC, V94, P1053, DOI 10.2307/2669919
   Despotis DK, 2005, J OPER RES SOC, V56, P969, DOI 10.1057/palgrave.jors.2601927
   DiCiccio TJ, 1996, STAT SCI, V11, P189
   Doss C.R., 2003, 0301 CIMMYT
   Ecker O, 2018, FOOD POLICY, V79, P271, DOI 10.1016/j.foodpol.2018.08.002
   Ellis F, 1998, J DEV STUD, V35, P1, DOI 10.1080/00220389808422553
   Etikan I., 2017, Biometrics & Biostatistics International Journal, V5, DOI [DOI 10.15406/BBIJ.2017.05.00149, 10.15406/bbij.2017.05.00149, 10.15406/bbij.2017.05.001, DOI 10.15406/BBIJ.2017.05.001]
   European Food Safety Authority, 2009, EFSA J, V7, DOI 10.2903/j.efsa.2009.1435
   Evenson RE, 2003, SCIENCE, V300, P758, DOI 10.1126/science.1078710
   Faber M, 2017, ECOL FOOD NUTR, V56, P62, DOI 10.1080/03670244.2016.1261024
   FARRELL MJ, 1957, J R STAT SOC SER A-G, V120, P253, DOI 10.2307/2343100
   Food and Agriculture Organization of the United Nations, 2014, MIN DIET DIV WOM MDD
   Funk MJ, 2011, AM J EPIDEMIOL, V173, P761, DOI 10.1093/aje/kwq439
   Gernand AD, 2016, NAT REV ENDOCRINOL, V12, P274, DOI 10.1038/nrendo.2016.37
   Glynn AN, 2010, POLIT ANAL, V18, P36, DOI 10.1093/pan/mpp036
   Greifer Noah, 2024, CRAN
   Hansen BB, 2008, BIOMETRIKA, V95, P481, DOI 10.1093/biomet/asn004
   Hatloy A, 2000, PUBLIC HEALTH NUTR, V3, P57, DOI 10.1017/S1368980000000628
   Heckman JJ, 2007, HBK ECON, V2, P4779, DOI 10.1016/S1573-4412(07)06070-9
   Holden S, 2001, J AGR ECON, V52, P53, DOI 10.1111/j.1477-9552.2001.tb00938.x
   Huang MG, 2018, FOOD NUTR BULL, V39, P219, DOI 10.1177/0379572118761682
   Imai K, 2004, J AM STAT ASSOC, V99, P854, DOI 10.1198/016214504000001187
   Jones AD, 2017, J NUTR, V147, P86, DOI 10.3945/jn.116.235879
   Jones AD, 2013, ADV NUTR, V4, P481, DOI 10.3945/an.113.004119
   Kabunga NS, 2014, FOOD POLICY, V45, P25, DOI 10.1016/j.foodpol.2013.12.009
   Kaliba A. R., 2018, Agricultural and Food Economics, V6, P18, DOI 10.1186/s40100-018-0114-4
   Kaliba A. R., 2017, Journal of Development and Agricultural Economics, V9, P250, DOI 10.5897/jdae2017.0833
   Kalinda T., 2014, Asian Journal of Agricultural Sciences, V6, P33
   Kang JDY, 2007, STAT SCI, V22, P523, DOI 10.1214/07-STS227
   Kanyeka E., 2007, Improved Agricultural Research Technology Recommended in Tanzania
   Kassie M, 2011, WORLD DEV, V39, P1784, DOI 10.1016/j.worlddev.2011.04.023
   Kebede W.M., 2015, J FOOD SECUR, V3, P75
   Keding GB, 2012, FOOD SECUR, V4, P129, DOI 10.1007/s12571-011-0163-y
   Kendall A, 1996, J AM DIET ASSOC, V96, P1019, DOI 10.1016/S0002-8223(96)00271-4
   Kennedy G., 2013, GUIDELINES MEASURING
   Kennedy GL, 2007, J NUTR, V137, P472, DOI 10.1093/jn/137.2.472
   Khonje M, 2015, WORLD DEV, V66, P695, DOI 10.1016/j.worlddev.2014.09.008
   Kilimo, 2008, TANZ VAR LIST
   Kinabo J., 2016, African Journal of Food, Agriculture, Nutrition and Development, V16, P11295, DOI 10.18697/ajfand.76.16045
   Koppmair S, 2017, PUBLIC HEALTH NUTR, V20, P325, DOI [10.1017/S1368980016002135, 10.1017/s1368980016002135]
   Lee BK, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018174
   Linden A, 2017, J EVAL CLIN PRACT, V23, P697, DOI 10.1111/jep.12714
   Luckett BG, 2015, PUBLIC HEALTH NUTR, V18, P2479, DOI 10.1017/S136898001500169X
   Lumley T., 2015, Journal of Survey Statistics and Methodology, V3, P1, DOI [10.1093/jssam/smu021, DOI 10.1093/JSSAM/SMU021]
   Lumley T, 2018, SURVEY ANAL COMPLEX, V3.33-2
   Lumley T, 2014, AUST NZ J STAT, V56, P1, DOI 10.1111/anzs.12065
   Martin-Prevel Y., 2015, Moving Forward on Choosing a Standard Operational Indicator of Women's Dietary Diversity
   Mason NM, 2013, AGR ECON-BLACKWELL, V44, P659, DOI 10.1111/agec.12080
   Mathenge MK, 2014, FOOD POLICY, V44, P262, DOI 10.1016/j.foodpol.2013.09.013
   Mbwana H. A., 2016, Cogent Food & Agriculture, V2, P1224046, DOI 10.1080/23311932.2016.1224046
   Mgonja Mary A., 2005, Journal of Food Agriculture & Environment, V3, P124
   Mwangi M., 2015, J EC SUSTAIN DEV, V6, P10
   Ntwenya JE, 2017, FOOD NUTR BULL, V38, P501, DOI 10.1177/0379572117708647
   Obersteiner M., 2001, IR01068 IIASA
   Ochieng J, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0189022
   Operations Evaluation Department , 2011, IMPR FOOD SEC SYST R
   Otto Lars, 2024, CRAN
   Passarelli S, 2018, FOOD SECUR, V10, P981, DOI 10.1007/s12571-018-0812-5
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Ravallion M, 1997, WORLD BANK ECON REV, V11, P357, DOI 10.1093/wber/11.2.357
   Robins J., 2007, STAT SCI, V22, P544
   ROSENBAUM PR, 1983, BIOMETRIKA, V70, P41, DOI 10.1093/biomet/70.1.41
   ROSENBAUM PR, 1985, AM STAT, V39, P33, DOI 10.2307/2683903
   RUBIN DB, 1974, J EDUC PSYCHOL, V66, P688, DOI 10.1037/h0037350
   Savy M, 2005, EUR J CLIN NUTR, V59, P703, DOI 10.1038/sj.ejcn.1602135
   Shadish WR, 2008, J AM STAT ASSOC, V103, P1334, DOI 10.1198/016214508000000733
   Sharpe A., 2010, 10 CSLS
   Shiferaw B, 2014, FOOD POLICY, V44, P272, DOI 10.1016/j.foodpol.2013.09.012
   Sibhatu KT, 2018, FOOD POLICY, V77, P1, DOI 10.1016/j.foodpol.2018.04.013
   Sisay Debebe Sisay Debebe, 2015, Journal of Development and Agricultural Economics, V7, P282
   Skelly Andrea C, 2012, Evid Based Spine Care J, V3, P9, DOI 10.1055/s-0031-1298595
   Smale M, 2018, FOOD POLICY, V74, P162, DOI 10.1016/j.foodpol.2018.01.001
   Smale M, 2015, FOOD POLICY, V52, P44, DOI 10.1016/j.foodpol.2015.03.001
   Smale M, 2014, J DEV STUD, V50, P680, DOI 10.1080/00220388.2014.887690
   Somarriba N, 2009, SOC INDIC RES, V94, P115, DOI 10.1007/s11205-008-9356-y
   Steiner PM, 2010, PSYCHOMETRIKA, V75, P775, DOI 10.1007/s11336-010-9170-8
   Stuart EA, 2013, J CLIN EPIDEMIOL, V66, pS84, DOI 10.1016/j.jclinepi.2013.01.013
   Stuart EA, 2010, MULTIVAR BEHAV RES, V45, P746, DOI 10.1080/00273171.2010.503544
   Stuart EA, 2010, STAT SCI, V25, P1, DOI 10.1214/09-STS313
   Suvedi M, 2017, J AGRIC EDUC EXT, V23, P351, DOI [10.1080/1389224x.2017.1323653, 10.1080/1389224X.2017.1323653]
   Tesfaye W, 2018, FOOD POLICY, V75, P52, DOI 10.1016/j.foodpol.2018.01.004
   THOMPSON FE, 1994, J NUTR, V124, pS2245, DOI 10.1093/jn/124.suppl_11.2245s
   Uysal SD, 2015, J APPL ECONOMET, V30, P763, DOI 10.1002/jae.2386
   Webb P, 2006, J NUTR, V136, P1404
   Wooldridge JM, 2007, J ECONOMETRICS, V141, P1281, DOI 10.1016/j.jeconom.2007.02.002
   Wooldridge JeffreyMarc., 2002, Portuguese Economic Journal, V1, P117, DOI [10.1007/s10258-002-0008-x, DOI 10.1007/S10258-002-0008-X]
   *WORLD FOOD PROGR, 2005, EM FOOD SEC ASS HDB
   Zereyesus Y.A., 2013, EC EFFECT ASSESSMENT
   Zhao WZ, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-017-4381-x
NR 112
TC 7
Z9 7
U1 0
U2 5
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 2158-2440
J9 SAGE OPEN
JI SAGE Open
PD JAN
PY 2021
VL 11
IS 1
AR 2158244020979992
DI 10.1177/2158244020979992
PG 18
WC Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA PU4HC
UT WOS:000609266700001
OA gold
DA 2025-01-10
ER

PT J
AU Morley, JW
   Frölicher, TL
   Pinsky, ML
AF Morley, James W.
   Frolicher, Thomas L.
   Pinsky, Malin L.
TI Characterizing uncertainty in climate impact projections: a case study
   with seven marine species on the North American continental shelf
SO ICES JOURNAL OF MARINE SCIENCE
LA English
DT Article
DE black sea bass; climate change; market squid; sablefish; species
   distribution modelling
ID ADAPTATION STRATEGIES; DISTRIBUTION MODELS; RANGE SHIFTS; DISTRIBUTIONS;
   FISHERIES; OCEAN; RESPONSES; VULNERABILITY; BIODIVERSITY; PREDICTION
AB Projections of climate change impacts on living resources are being conducted frequently, and the goal is often to inform policy. Species projections will be more useful if uncertainty is effectively quantified. However, few studies have comprehensively characterized the projection uncertainty arising from greenhouse gas scenarios, Earth system models (ESMs), and both structural and parameter uncertainty in species distribution modelling. Here, we conducted 8964 unique 21st century projections for shifts in suitable habitat for seven economically important marine species including American lobster, Pacific halibut, Pacific ocean perch, and summer flounder. For all species, both the ESM used to simulate future temperatures and the niche modelling approach used to represent species distributions were important sources of uncertainty, while variation associated with parameter values in niche models was minor. Greenhouse gas emissions scenario contributed to uncertainty for projections at the century scale. The characteristics of projection uncertainty differed among species and also varied spatially, which underscores the need for improved multi-model approaches with a suite of ESMs and niche models forming the basis for uncertainty around projected impacts. Ensemble projections show the potential for major shifts in future distributions. Therefore, rigorous future projections are important for informing climate adaptation efforts.
C1 [Morley, James W.] East Carolina Univ, Dept Biol, Coastal Studies Inst, Wanchese, NC USA.
   [Frolicher, Thomas L.] Univ Bern, Phys Inst, Climate & Environm Phys, Bern, Switzerland.
   [Frolicher, Thomas L.] Univ Bern, Oeschger Ctr Climate Change Res, Bern, Switzerland.
   [Pinsky, Malin L.] Rutgers State Univ, Dept Ecol Evolut & Nat Resources, New Brunswick, NJ USA.
C3 University of North Carolina; East Carolina University; University of
   Bern; University of Bern; Rutgers University System; Rutgers University
   New Brunswick
RP Morley, JW (corresponding author), East Carolina Univ, Dept Biol, Coastal Studies Inst, Wanchese, NC USA.
EM morleyj19@ecu.edu
RI Pinsky, Malin/K-2884-2015; /CAE-6559-2022; Frolicher, Thomas/E-5137-2015
OI Frolicher, Thomas/0000-0003-2348-7854; Morley, James/0000-0003-0711-6180
FU Pew Charitable Trusts [28295]; Mid-Atlantic Fishery Management Council;
   National Oceanic and Atmospheric Administration's "FY14 Understanding
   Climate Impacts on Fish Stocks and Fisheries to Inform Sustainable
   Management" initiative [OAR-CPO-2014-2004106]; US National Science
   Foundation [OCE-1426891, DEB-1616821]; Cooperative Institution for the
   North Atlantic Region (CINAR) [NA14OAR4320158]; North Carolina Sea Grant
   [R/18-SFA-2, 2016-R/16-HCE-3]; North Carolina Policy Collaboratory;
   Swiss National Science Foundation [PP00P2_170687]; European Union
   [820989]
FX Funding was provided by the Pew Charitable Trusts (#28295), the
   Mid-Atlantic Fishery Management Council, the National Oceanic and
   Atmospheric Administration's "FY14 Understanding Climate Impacts on Fish
   Stocks and Fisheries to Inform Sustainable Management" initiative
   (Competition OAR-CPO-2014-2004106), US National Science Foundation
   (#OCE-1426891 and #DEB-1616821), and the Cooperative Institution for the
   North Atlantic Region (CINAR) under (NA14OAR4320158). JWM was supported
   by North Carolina Sea Grant (projects: R/18-SFA-2; 2016-R/16-HCE-3) and
   the North Carolina Policy Collaboratory. TLF acknowledges support from
   the Swiss National Science Foundation (PP00P2_170687) and the European
   Union's Horizon 2020 research and innovation programme (820989) (project
   COMFORT, Our common future ocean in the Earth system-quantifying coupled
   cycles of carbon, oxygen, and nutrients for determining and achieving
   safe operating spaces 30 with respect to tipping points).
CR Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   [Anonymous], **DATA OBJECT**
   Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Araújo MB, 2011, ECOL LETT, V14, P484, DOI 10.1111/j.1461-0248.2011.01610.x
   Azen R, 2003, PSYCHOL METHODS, V8, P129, DOI 10.1037/1082-989X.8.2.129
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Barry SC, 2002, ECOL MODEL, V157, P179, DOI 10.1016/S0304-3800(02)00194-1
   Becker JJ, 2009, MAR GEOD, V32, P355, DOI 10.1080/01490410903297766
   Bell RJ, 2018, CAN J FISH AQUAT SCI, V75, P1405, DOI 10.1139/cjfas-2017-0085
   Bell RJ, 2015, ICES J MAR SCI, V72, P1311, DOI 10.1093/icesjms/fsu217
   Bonebrake TC, 2018, BIOL REV, V93, P284, DOI 10.1111/brv.12344
   Brodie SJ, 2020, ECOGRAPHY, V43, P11, DOI 10.1111/ecog.04707
   Buisson L, 2010, GLOBAL CHANGE BIOL, V16, P1145, DOI 10.1111/j.1365-2486.2009.02000.x
   Carton JA, 2018, J CLIMATE, V31, P6967, DOI 10.1175/JCLI-D-18-0149.1
   Cheung WWL, 2016, SCIENCE, V354, P1591, DOI 10.1126/science.aag2331
   Cheung WWL, 2016, ICES J MAR SCI, V73, P1283, DOI 10.1093/icesjms/fsv250
   Cheung WWL, 2010, GLOBAL CHANGE BIOL, V16, P24, DOI 10.1111/j.1365-2486.2009.01995.x
   Cheung WWL, 2009, FISH FISH, V10, P235, DOI 10.1111/j.1467-2979.2008.00315.x
   Degeling K, 2017, BMC MED RES METHODOL, V17, DOI 10.1186/s12874-017-0437-y
   Diniz JAF, 2009, ECOGRAPHY, V32, P897, DOI 10.1111/j.1600-0587.2009.06196.x
   Dormann CF, 2008, ECOLOGY, V89, P3371, DOI 10.1890/07-1772.1
   Dubik BA, 2019, MAR POLICY, V99, P243, DOI 10.1016/j.marpol.2018.10.032
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Elith J., 2017, R Documentation, P1
   Eyring V, 2019, NAT CLIM CHANGE, V9, P102, DOI 10.1038/s41558-018-0355-y
   Fay G, 2017, ECOL MODEL, V347, P1, DOI 10.1016/j.ecolmodel.2016.12.016
   Freer JJ, 2018, MAR BIOL, V165, DOI 10.1007/s00227-017-3239-1
   Frölicher TL, 2016, GLOBAL BIOGEOCHEM CY, V30, P1224, DOI 10.1002/2015GB005338
   Gaichas SK, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00105
   Garcia Molinos Jorge, 2016, Nature Climate Change, V6, P83, DOI 10.1038/nclimate2769
   Goberville E, 2015, ECOL EVOL, V5, P1100, DOI 10.1002/ece3.1411
   Guisan A, 2013, ECOL LETT, V16, P1424, DOI 10.1111/ele.12189
   Hare JA, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0146756
   Hare JA, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052294
   Hare JA, 2012, ICES J MAR SCI, V69, P1753, DOI 10.1093/icesjms/fss160
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Hoag H, 2017, SCIENCE, V358, P1235, DOI 10.1126/science.358.6368.1235
   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
   Jones MC, 2015, ICES J MAR SCI, V72, P741, DOI 10.1093/icesjms/fsu172
   Jones MC, 2012, ECOL MODEL, V225, P133, DOI 10.1016/j.ecolmodel.2011.11.003
   Kuhn M., 2018, R package version 6.0-80
   Le Bris A, 2018, P NATL ACAD SCI USA, V115, P1831, DOI 10.1073/pnas.1711122115
   Lotze HK, 2019, P NATL ACAD SCI USA, V116, P12907, DOI 10.1073/pnas.1900194116
   MacLauchlin K., 2018, SOCIOECONOMIC PROFIL
   McHenry J, 2019, GLOBAL CHANGE BIOL, V25, P4208, DOI 10.1111/gcb.14828
   Miller DD, 2018, GLOBAL CHANGE BIOL, V24, pE1, DOI 10.1111/gcb.13829
   Morley JW, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0196127
   National Marine Fisheries Service, 2018, FISH US 2017 NOAA CU
   Nye JA, 2009, MAR ECOL PROG SER, V393, P111, DOI 10.3354/meps08220
   Ocean Biogeographic Information System, 2019, INT OC COMM UNESCO
   Pacifici M, 2015, NAT CLIM CHANGE, V5, P215, DOI 10.1038/NCLIMATE2448
   Pereira HM, 2010, SCIENCE, V330, P1496, DOI 10.1126/science.1196624
   Perretti CT, 2019, FISH RES, V215, P62, DOI 10.1016/j.fishres.2019.03.006
   Pinsky ML, 2018, SCIENCE, V360, P1189, DOI 10.1126/science.aat2360
   Pinsky ML, 2014, OCEANOGRAPHY, V27, P146, DOI 10.5670/oceanog.2014.93
   Pinsky ML, 2013, SCIENCE, V341, P1239, DOI 10.1126/science.1239352
   Pinsky ML, 2012, CLIMATIC CHANGE, V115, P883, DOI 10.1007/s10584-012-0599-x
   Planque B, 2011, ICES J MAR SCI, V68, P1045, DOI 10.1093/icesjms/fsr007
   R Core Team, 2019, R LANG ENV STAT COMP
   Raftery AE, 2017, NAT CLIM CHANGE, V7, P637, DOI [10.1038/nclimate3352, 10.1038/NCLIMATE3352]
   Raybaud V, 2017, ICES J MAR SCI, V74, P1288, DOI 10.1093/icesjms/fsx003
   Saba VS, 2016, J GEOPHYS RES-OCEANS, V121, P118, DOI 10.1002/2015JC011346
   Stock CA, 2011, PROG OCEANOGR, V88, P1, DOI 10.1016/j.pocean.2010.09.001
   Sunday JM, 2012, NAT CLIM CHANGE, V2, P686, DOI 10.1038/NCLIMATE1539
   Thomas AC, 2017, ELEMENTA-SCI ANTHROP, V5, DOI 10.1525/elementa.240
   Thuiller W, 2004, GLOBAL CHANGE BIOL, V10, P2020, DOI 10.1111/j.1365-2486.2004.00859.x
   Thuiller W, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09519-w
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   Venables W. N., 2002, Modern Applied Statistics with S, DOI 10.1007/978-0-387-21706-2
   Wisz MS, 2015, NAT CLIM CHANGE, V5, P261, DOI [10.1038/nclimate2500, 10.1038/NCLIMATE2500]
   Wong A, 2011, HEALTH ECON, V20, P379, DOI 10.1002/hec.1597
   Wood SN, 2011, J ROY STAT SOC B, V73, P3, DOI 10.1111/j.1467-9868.2010.00749.x
   Young T, 2019, ICES J MAR SCI, V76, P93, DOI 10.1093/icesjms/fsy140
NR 73
TC 9
Z9 9
U1 1
U2 21
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1054-3139
EI 1095-9289
J9 ICES J MAR SCI
JI ICES J. Mar. Sci.
PD NOV-DEC
PY 2020
VL 77
IS 6
BP 2118
EP 2133
DI 10.1093/icesjms/fsaa103
PG 16
WC Fisheries; Marine & Freshwater Biology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Fisheries; Marine & Freshwater Biology; Oceanography
GA PY7HN
UT WOS:000612212800010
OA Green Published, Green Accepted, Bronze
DA 2025-01-10
ER

PT C
AU Hviid, CA
   Zukowska-Tejsen, D
   Nielsen, V
AF Hviid, Christian A.
   Zukowska-Tejsen, Daria
   Nielsen, Vilhjalmur
BE Kurnitski, J
   Kalamees, T
TI Cooling of schools - results from a demonstration project using
   adiabatic evaporative cooling with harvested rainwater
SO 12TH NORDIC SYMPOSIUM ON BUILDING PHYSICS (NSB 2020)
SE E3S Web of Conferences
LA English
DT Proceedings Paper
CT 12th Nordic Symposium on Building Physics (NSB)
CY SEP 06-09, 2020
CL Tallinn, ESTONIA
ID PERFORMANCE
AB This paper reports on a demonstration project where a section of a school building with eight classrooms and three other rooms was retrofitted with a mechanical balanced ventilation system with an integrated evaporative cooling unit. The floor area was 537 m(2). Especially in temperate climates, evaporative cooling has unreleased potential as an alternative solution to conventional cooling technologies, and by combining it with harvesting of rainwater, the solution aligns well with a future with higher cooling needs, need for climate adaptation, and the overall sustainability agenda. The cooling unit works by storing, filtering and spraying rainwater into the return air. The water evaporates, cools the return air, and through an innovative corrosion-resilient plastic heat exchanger, the return air then absorbs heat from the supply air. In this way indoor climate problems caused by humidification of the indoor air are avoided. The demonstration was running in the May and June 2019. The results show that the specific fan power increased approx. 500 J/m(3) when the evaporative cooling pumps were activated and that the available cooling power - depending on the moisture content of the return air - was fluctuating in the range 20-30 W/m(2). The peak rainwater consumption was approx. 1 m(3)/day. The results show that implementation of evaporative cooling with harvested rainwater is an attractive and sustainable alternative to mechanical compressor cooling.
C1 [Hviid, Christian A.; Zukowska-Tejsen, Daria; Nielsen, Vilhjalmur] Tech Univ Denmark, Dept Civil Engn, Brovej Bldg 118, DK-2800 Lyngby, Denmark.
C3 Technical University of Denmark
RP Hviid, CA (corresponding author), Tech Univ Denmark, Dept Civil Engn, Brovej Bldg 118, DK-2800 Lyngby, Denmark.
EM cah@byg.dtu.dk
RI Hviid, Christian/IUQ-6118-2023
OI Nielsen, Vilhjalmur/0000-0002-7737-0654; Zukowska-Tejsen,
   Daria/0000-0003-1357-1163; Hviid, Christian Anker/0000-0002-8340-7222
CR [Anonymous], 2005, TM36 CIBSE
   Bruno F., 2011, ENERGY BUILD, V43, P12
   De Antonellis S, 2017, ENERG BUILDINGS, V142, P147, DOI 10.1016/j.enbuild.2017.02.057
   Duan ZY, 2012, RENEW SUST ENERG REV, V16, P6823, DOI 10.1016/j.rser.2012.07.007
   Haverinen-Shaughnessy U, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0136165
   Heidarinejad G, 2009, BUILD ENVIRON, V44, P2073, DOI 10.1016/j.buildenv.2009.02.017
   Hviid C.A., 2019, 349061 ELFORSK
   Porumb B, 2016, ENRGY PROCED, V85, P461, DOI 10.1016/j.egypro.2015.12.228
   Riangvilaikul B, 2010, ENERG BUILDINGS, V42, P637, DOI 10.1016/j.enbuild.2009.10.034
   Steeman M, 2009, APPL THERM ENG, V29, P2870, DOI 10.1016/j.applthermaleng.2009.02.004
   Wargocki P, 2006, ASHRAE J, V48, P22
   WaterAid, 2013, TECH REP
   Zhao XD, 2009, INT J LOW-CARBON TEC, V4, P27, DOI 10.1093/ijlct/ctp005
NR 13
TC 4
Z9 4
U1 0
U2 4
PU E D P SCIENCES
PI CEDEX A
PA 17 AVE DU HOGGAR PARC D ACTIVITES COUTABOEUF BP 112, F-91944 CEDEX A,
   FRANCE
SN 2267-1242
J9 E3S WEB CONF
PY 2020
VL 172
AR 02003
DI 10.1051/e3sconf/202017202003
PG 6
WC Architecture; Construction & Building Technology; Green & Sustainable
   Science & Technology; Engineering, Civil; Physics, Applied
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Architecture; Construction & Building Technology; Science & Technology -
   Other Topics; Engineering; Physics
GA BQ4RB
UT WOS:000594033400012
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU McEvoy, S
   van de Ven, FHM
   Brolsma, R
   Slinger, JH
AF McEvoy, Sadie
   van de Ven, Frans H. M.
   Brolsma, Reinder
   Slinger, Jill H.
TI Evaluating a Planning Support System's Use and Effects in Urban
   Adaptation: An Exploratory Case Study from Berlin, Germany
SO SUSTAINABILITY
LA English
DT Article
DE planning support system; case study; climate adaptation; urban planning
ID PUBLIC-PARTICIPATION; DECISION-SUPPORT; FRAMEWORK; TOOLS; PRACTITIONERS;
   PSS; IMPLEMENTATION; PERFORMANCE; DESIGN
AB Planning Support Systems (PSS) are increasingly used to support collaborative planning workshops in urban adaptation practice. Research has focused on developing such tools and evaluating their use in workshops but has not measured tools' effects over time on real planning processes, on the participants involved, and on the final outcomes. The role that tools play in adaptation planning, therefore, remains unclear. A longitudinal case study was made to evaluate a PSS, the Adaptation Support Tool (AST), in a design workshop for sustainable urban water management, in Berlin, Germany. The case study also served to test the evaluation framework and generate insights regarding systematic evaluations of tools in planning processes. The case study was carried out over eighteen months, to capture both the details of the workshop and its longer-term effects on the project and participants. Our results show that the AST's most evident effects were (1) contributory and less tangible in nature (e.g., supporting learning), than directly causal and concrete (e.g., affecting planning decisions), and (2) a function of the process and context in which the workshop took place. This study demonstrates that making systematic, longitudinal evaluations are valuable for studying the role of PSS in urban adaptation planning.
C1 [McEvoy, Sadie; van de Ven, Frans H. M.; Brolsma, Reinder] Deltares, NL-2629 HV Delft, Netherlands.
   [McEvoy, Sadie; Slinger, Jill H.] Delft Univ Technol, Policy Anal, Fac Technol Policy & Management, NL-2628 BX Delft, Netherlands.
   [van de Ven, Frans H. M.] Delft Univ Technol, Fac Civil Engn & Geosci, Water Management, NL-2628 CN Delft, Netherlands.
   [Slinger, Jill H.] Rhodes Univ, Inst Water Res, ZA-6139 Grahamstown, South Africa.
C3 Deltares; Delft University of Technology; Delft University of
   Technology; Rhodes University
RP McEvoy, S (corresponding author), Deltares, NL-2629 HV Delft, Netherlands.; McEvoy, S (corresponding author), Delft Univ Technol, Policy Anal, Fac Technol Policy & Management, NL-2628 BX Delft, Netherlands.
EM sadie.mcevoy@deltares.nl; frans.vandeven@deltares.nl;
   reinder.brolsma@deltares.nl; j.h.slinger@tudelft.nl
RI Slinger, Jill/F-1414-2011
OI Slinger, Jill/0000-0001-5257-8857; McEvoy, Sadie/0000-0002-3329-950X
FU European Union [640954]
FX This project received funding from the European Union's Horizon 2020
   research and innovation programme, under grant agreement No. 640954.
CR Abelson J, 2003, SOC SCI MED, V57, P239, DOI 10.1016/S0277-9536(02)00343-X
   Al-Kodmany K, 1999, LANDSCAPE URBAN PLAN, V45, P37, DOI 10.1016/S0169-2046(99)00024-9
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   [Anonymous], SMART SUSTAINABLE DI
   [Anonymous], PLANNING SUPPORT SYS
   [Anonymous], PLANNING SUPPORT SYS
   [Anonymous], 2014, Geodesign by Integrating Design and Geospatial Sciences
   [Anonymous], STADTT GREEN MOAB BE
   [Anonymous], MOAB W
   [Anonymous], 2017, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-015-9633-4
   [Anonymous], PLANNING SUPPORT TOO
   [Anonymous], 2016, TRANSPORTATION RES A
   Arciniegas G, 2013, ENVIRON MODELL SOFTW, V39, P159, DOI 10.1016/j.envsoft.2012.02.021
   Arciniegas G, 2012, LANDSCAPE URBAN PLAN, V107, P332, DOI 10.1016/j.landurbplan.2012.06.004
   Billger M, 2017, ENVIRON PLAN B-URBAN, V44, P1012, DOI 10.1177/0265813516657341
   Birkmann J, 2014, URBAN CLIM, V7, P115, DOI 10.1016/j.uclim.2014.01.006
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Geertman S, 2006, ENVIRON PLANN B, V33, P863, DOI 10.1068/b31129
   Geertman S, 2017, TRANSPORT RES A-POL, V104, P70, DOI 10.1016/j.tra.2016.10.016
   Geurts JLA, 2001, EUR J OPER RES, V128, P300, DOI 10.1016/S0377-2217(00)00073-4
   Goodspeed R, 2016, ENVIRON PLANN B, V43, P444, DOI 10.1177/0265813515614665
   Hassenforder E, 2015, J ENVIRON MANAGE, V157, P84, DOI 10.1016/j.jenvman.2015.04.012
   Henstra D, 2016, CLIM POLICY, V16, P496, DOI 10.1080/14693062.2015.1015946
   Innes JE, 1999, J AM PLANN ASSOC, V65, P412, DOI 10.1080/01944369908976071
   Jones NA, 2009, ENVIRON MANAGE, V44, P1180, DOI 10.1007/s00267-009-9391-8
   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
   Masson V, 2014, URBAN CLIM, V10, P407, DOI 10.1016/j.uclim.2014.03.004
   Mayer IS, 2005, ENVIRON PLANN B, V32, P403, DOI 10.1068/b31149
   McEvoy S., 2019, Planning Support Tools in Urban Adaptation Practice
   McEvoy S, 2019, COMPUT ENVIRON URBAN, V77, DOI 10.1016/j.compenvurbsys.2019.101353
   McEvoy S, 2018, J ENVIRON MANAGE, V207, P319, DOI 10.1016/j.jenvman.2017.10.041
   Midgley G, 2013, EUR J OPER RES, V229, P143, DOI 10.1016/j.ejor.2013.01.047
   Pelzer P, 2017, TRANSPORT RES A-POL, V104, P84, DOI 10.1016/j.tra.2016.06.019
   Pelzer P, 2014, PLAN THEORY PRACT, V15, P527, DOI 10.1080/14649357.2014.963653
   Pelzer P, 2016, COMPUT ENVIRON URBAN, V56, P25, DOI 10.1016/j.compenvurbsys.2015.10.008
   Pelzer P, 2015, APPL SPAT ANAL POLIC, V8, P155, DOI 10.1007/s12061-015-9135-5
   Pelzer P, 2014, COMPUT ENVIRON URBAN, V48, P16, DOI 10.1016/j.compenvurbsys.2014.05.002
   Pettit C., 2018, City, Culture and Society, V12, P13, DOI [DOI 10.1016/J.CCS.2017.10.002, 10.1016/J.CCS.2017.10.002, 10.1016/j.ccs.2017.10.002]
   Pettit CJ, 2005, ENVIRON PLANN B, V32, P523, DOI 10.1068/b31109
   Rowe G, 2000, SCI TECHNOL HUM VAL, V25, P3, DOI 10.1177/016224390002500101
   Rowe G, 2004, SCI TECHNOL HUM VAL, V29, P512, DOI 10.1177/0162243903259197
   Russo P, 2018, INT J HUM-COMPUT INT, V34, P57, DOI 10.1080/10447318.2017.1327213
   Russo P, 2018, COMPUT ENVIRON URBAN, V67, P9, DOI 10.1016/j.compenvurbsys.2017.08.009
   Sellberg MM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07258-200143
   Te Brommelströet M, 2015, PLAN PRACT RES, V30, P179, DOI 10.1080/02697459.2015.1023077
   te Brömmelstroet M, 2013, COMPUT ENVIRON URBAN, V41, P299, DOI 10.1016/j.compenvurbsys.2012.07.004
   Thissen WAH, 2001, EUR J OPER RES, V129, P627, DOI 10.1016/S0377-2217(99)00470-1
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   van de Ven FHM, 2016, ENVIRON SCI POLICY, V66, P427, DOI 10.1016/j.envsci.2016.06.010
   Vonk G, 2005, ENVIRON PLANN A, V37, P909, DOI 10.1068/a3712
   Vonk G., 2008, APPL SPAT ANAL POLIC, V1, P153, DOI DOI 10.1007/S12061-008-9011-7
   Voskamp IM, 2015, BUILD ENVIRON, V83, P159, DOI 10.1016/j.buildenv.2014.07.018
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Yin R., 2010, QUALITATIVE RES STAR
NR 55
TC 7
Z9 7
U1 0
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2020
VL 12
IS 1
AR 173
DI 10.3390/su12010173
PG 27
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA KX5YC
UT WOS:000521955600173
OA gold, Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU White, DD
   Lawless, KL
   Vivoni, ER
   Mascaro, G
   Pahle, R
   Kumar, I
   Coli, P
   Castillo, RM
   Moreda, F
   Asfora, M
AF White, Dave D.
   Lawless, Krista L.
   Vivoni, Enrique R.
   Mascaro, Giuseppe
   Pahle, Robert
   Kumar, Ipsita
   Coli, Pedro
   Castillo, Raul Munoz
   Moreda, Fekadu
   Asfora, Marcelo
TI Co-Producing Interdisciplinary Knowledge and Action for Sustainable
   Water Governance: Lessons from the Development of a Water Resources
   Decision Support System in Pernambuco, Brazil
SO GLOBAL CHALLENGES
LA English
DT Article
DE decision support; stakeholder engagement; sustainability; water
   management
ID TRANSDISCIPLINARY RESEARCH; SCIENCE; POLICY; MODEL; COPRODUCTION;
   FRAMEWORK; MONSOON; MAKERS; CREDIBILITY; LEGITIMACY
AB One of the most pressing global challenges for sustainable development is freshwater management. Sustainable water governance requires interdisciplinary knowledge about environmental and social processes as well as participatory strategies that bring scientists, managers, policymakers, and other stakeholders together to cooperatively produce knowledge and solutions, promote social learning, and build enduring institutional capacity. Cooperative production of knowledge and action is designed to enhance the likelihood that the findings, models, simulations, and decision support tools developed are scientifically credible, solutions-oriented, and relevant to management needs and stakeholders' perspectives. To explore how interdisciplinary science and sustainable water management can be co-developed in practice, the experiences of an international collaboration are drawn on to improve local capacity to manage existing and future water resources efficiently, sustainably, and equitably in the State of Pernambuco in northeastern Brazil. Systems are developed to model and simulate rainfall, reservoir management, and flood forecasting that allow users to create, save, and compare future scenarios. A web-enabled decision support system is also designed to integrate models to inform water management and climate adaptation. The challenges and lessons learned from this project, the transferability of this approach, and strategies for evaluating the impacts on management decisions and sustainability outcomes are discussed.
C1 [White, Dave D.; Lawless, Krista L.; Vivoni, Enrique R.; Mascaro, Giuseppe; Pahle, Robert] Arizona State Univ, Decis Ctr Desert City, 21 E 6th St,Suite 126B, Tempe, AZ 85287 USA.
   [Kumar, Ipsita] Columbia Water Ctr, 842 SW Mudd,4711,500 West 120th St, New York, NY 10027 USA.
   [Coli, Pedro; Castillo, Raul Munoz] Interamer Dev Bank, 1300 New York Ave NW, Washington, DC 20577 USA.
   [Moreda, Fekadu] Res Triangle Inst, POB 12194, Res Triangle Pk, NC 27709 USA.
   [Asfora, Marcelo] Agencia Pernambucana Aguas & Clima, Ave Cruz Cabuga 1111, BR-5040000 Recife, PE, Brazil.
C3 Arizona State University; Arizona State University-Tempe; Inter-American
   Development Bank; Research Triangle Institute
RP White, DD (corresponding author), Arizona State Univ, Decis Ctr Desert City, 21 E 6th St,Suite 126B, Tempe, AZ 85287 USA.
EM dave.white@asu.edu
RI Mascaro, Giuseppe/K-5504-2013; White, Dave/AAF-8898-2020; Vivoni,
   Enrique/E-1202-2012
OI Lawless, Krista L./0000-0002-4215-1793; Vivoni,
   Enrique/0000-0002-2659-9459; White, Dave/0000-0002-5518-1596
FU Inter-American Development Bank (IADB) under IDB Technical Cooperation
   [BR-T1305, C0112-15]
FX This material was based upon work supported by the Inter-American
   Development Bank (IADB) under IDB Technical Cooperation BR-T1305 (IADB
   Contract No C0112-15), A Water Resources Decision Support System to
   Reduce Drought Vulnerability and Enable Adaptation to Climate Change in
   Pernambuco. Any opinions, findings, and conclusions or recommendations
   expressed in this material were those of the author(s) and do not
   necessarily reflect the views of the Inter-American Development Bank
   (IADB).
CR Agrawal A, 2001, WORLD DEV, V29, P1649, DOI 10.1016/S0305-750X(01)00063-8
   Alvares CA, 2013, METEOROL Z, V22, P711, DOI 10.1127/0941-2948/2013/0507
   [Anonymous], 1972, Interdisciplinarity: Problems of teaching and research in universities
   Armitage D, 2015, AMBIO, V44, P353, DOI 10.1007/s13280-015-0644-x
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Baumgartner T, 2013, ECOL SOC, V18, DOI 10.5751/ES-05564-180303
   Benjamín AH, 2005, TEX LAW REV, V83, P2185
   Blättel-Mink B, 2005, INT J SUST DEV WORLD, V12, P1, DOI 10.1080/13504500509469613
   Butler D, 2017, GLOB CHALL, V1, P61, DOI 10.1002/gch2.1002
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   CHETTIPARAMB A., 2007, INTERDISCIPLINARITY
   Chiang JCH, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2000JD000307
   Clark WC, 2003, P NATL ACAD SCI USA, V100, P8059, DOI 10.1073/pnas.1231333100
   Cutts BB, 2011, ENVIRON SCI POLICY, V14, P977, DOI 10.1016/j.envsci.2011.05.012
   de Sherbinin A, 2014, CLIMATIC CHANGE, V123, P23, DOI 10.1007/s10584-013-0900-7
   Döll P, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035006
   Dunn G, 2017, ENVIRON SCI POLICY, V76, P146, DOI 10.1016/j.envsci.2017.07.005
   Eddy MC, 2017, J AM WATER RESOUR AS, V53, P6, DOI 10.1111/1752-1688.12496
   Veiga LBE, 2013, WATER RESOUR MANAG, V27, P2287, DOI 10.1007/s11269-013-0288-1
   Feldman DL, 2009, WEATHER CLIM SOC, V1, P9, DOI 10.1175/2009WCAS1007.1
   Giannini A, 2004, CLIM DYNAM, V22, P839, DOI 10.1007/s00382-004-0420-2
   Gibson Robert B., 2006, Journal of Environmental Assessment Policy and Management, V8, P259, DOI 10.1142/S1464333206002517
   Girod B, 2009, ENVIRON SCI POLICY, V12, P103, DOI 10.1016/j.envsci.2008.12.006
   Gober P, 2013, WATER RESOUR MANAG, V27, P955, DOI 10.1007/s11269-012-0222-y
   Greene AM, 2011, Q J ROY METEOR SOC, V137, P347, DOI 10.1002/qj.788
   Griggs D, 2013, NATURE, V495, P305, DOI 10.1038/495305a
   Grimm AM, 2003, J CLIMATE, V16, P263, DOI 10.1175/1520-0442(2003)016<0263:TENIOT>2.0.CO;2
   Hadorn GH, 2006, ECOL ECON, V60, P119, DOI 10.1016/j.ecolecon.2005.12.002
   HAITH DA, 1987, WATER RESOUR BULL, V23, P471, DOI 10.1111/j.1752-1688.1987.tb00825.x
   Hu Q, 2012, J PUBLIC AFF EDUC, V18, P513, DOI 10.1080/15236803.2012.12001697
   Hughes JP, 1999, J R STAT SOC C-APPL, V48, P15, DOI 10.1111/1467-9876.00136
   Jerneck A, 2011, SUSTAIN SCI, V6, P69, DOI 10.1007/s11625-010-0117-x
   Kasemir B., 2003, PUBLIC PARTICIPATION
   Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386
   Khalil AF, 2010, HYDROLOG SCI J, V55, P333, DOI 10.1080/02626661003780342
   Klein J.T., 2010, The Oxford Handbook of Interdisciplinarity, DOI DOI 10.1093/OXFORDHB/9780198733522.001.0001
   Klein JT, 2008, AM J PREV MED, V35, pS116, DOI 10.1016/j.amepre.2008.05.010
   Kuzdas C, 2016, SUSTAIN SCI, V11, P231, DOI 10.1007/s11625-015-0324-6
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Larson KL, 2015, SUSTAINABILITY-BASEL, V7, P14761, DOI 10.3390/su71114761
   Larson KL, 2013, J ENVIRON MANAGE, V116, P58, DOI 10.1016/j.jenvman.2012.11.016
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lubell M, 2009, AM COMP ENVIRON POLI, P255
   Marengo JA, 2013, J CLIMATE, V26, P9137, DOI 10.1175/JCLI-D-12-00642.1
   Meppem T, 1998, ECOL ECON, V26, P121, DOI 10.1016/S0921-8009(97)00117-1
   Miller TR, 2011, INT J SUST HIGHER ED, V12, P177, DOI 10.1108/14676371111118228
   Miller TR, 2008, ECOL SOC, V13
   Muñoz-Erickson TA, 2014, ENVIRON SCI POLICY, V37, P182, DOI 10.1016/j.envsci.2013.09.014
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Pahl-Wostl C, 2006, ECOL SOC, V11
   Pahl-Wostl C, 2013, ENVIRON SCI POLICY, V28, P36, DOI 10.1016/j.envsci.2012.11.009
   Pohl C, 2008, ENVIRON SCI POLICY, V11, P46, DOI 10.1016/j.envsci.2007.06.001
   Powers JG, 2017, B AM METEOROL SOC, V98, P1717, DOI 10.1175/BAMS-D-15-00308.1
   Robertson AW, 2004, J CLIMATE, V17, P4407, DOI 10.1175/JCLI-3216.1
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Rogers P., 2003, EFFECTIVE WATER GOVE
   Sachs JD, 2012, LANCET, V379, P2206, DOI 10.1016/S0140-6736(12)60685-0
   Schellnhuber H.J., 2012, TURN HEAT WHY 4 C WA
   Scholz Roland W., 2006, International Journal of Sustainability in Higher Education, V7, P226, DOI [10.1108/14676370610677829, DOI 10.1108/14676370610677829]
   Scholz RW., 2001, TRANSDISCIPLINARITY, P236, DOI [10.1007/978-3-0348-8419-8_17, DOI 10.1007/978-3-0348-8419-8_17]
   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]
   United Nations, 2015, No.A/RES/70/1.
   Walter AI, 2007, EVAL PROGRAM PLANN, V30, P325, DOI 10.1016/j.evalprogplan.2007.08.002
   Weart S, 2013, P NATL ACAD SCI USA, V110, P3657, DOI 10.1073/pnas.1107482109
   White DD, 2015, ENVIRON PRAC, V17, P25, DOI 10.1017/S1466046614000489
   White DD, 2010, SCI PUBL POLICY, V37, P219, DOI 10.3152/030234210X497726
   Wiek A, 2012, WATER RESOUR MANAG, V26, P3153, DOI 10.1007/s11269-012-0065-6
   Wiek A, 2009, EUR J OPER RES, V197, P360, DOI 10.1016/j.ejor.2008.06.013
   Wohl RR, 1955, SOC FORCES, V33, P374, DOI 10.2307/2573010
   Wutich A, 2010, FIELD METHOD, V22, P88, DOI 10.1177/1525822X09349918
   Xiang TT, 2017, J GEOPHYS RES-ATMOS, V122, P9024, DOI 10.1002/2017JD026472
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
   Yucel I, 2015, J HYDROL, V523, P49, DOI 10.1016/j.jhydrol.2015.01.042
NR 73
TC 12
Z9 12
U1 1
U2 22
PU WILEY-V C H VERLAG GMBH
PI WEINHEIM
PA POSTFACH 101161, 69451 WEINHEIM, GERMANY
EI 2056-6646
J9 GLOB CHALL
JI Glob. Chall.
PD APR
PY 2019
VL 3
IS 4
SI SI
AR 1800012
DI 10.1002/gch2.201800012
PG 14
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA ID5DO
UT WOS:000471696700007
PM 31565371
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Lasne, C
   Van Heerwaarden, B
   Sgrò, CM
   Connallon, T
AF Lasne, Clementine
   Van Heerwaarden, Belinda
   Sgro, Carla M.
   Connallon, Tim
TI Quantifying the relative contributions of the X chromosome, autosomes,
   and mitochondrial genome to local adaptation
SO EVOLUTION
LA English
DT Article
DE Adaptive divergence; Drosophila; mtDNA; stress resistance; X chromosome
ID DROSOPHILA-MELANOGASTER; GENE FLOW; NATURAL-SELECTION; BODY-SIZE;
   GEOGRAPHIC-VARIATION; POPULATION-GENETICS; CLIMATIC SELECTION; CLINAL
   VARIATION; SEX-CHROMOSOMES; INVERSION
AB During local adaptation with gene flow, some regions of the genome are inherently more responsive to selection than others. Recent theory predicts that X-linked genes should disproportionately contribute to local adaptation relative to other genomic regions, yet this prediction remains to be tested. We carried out a multigeneration crossing scheme, using two cline-end populations of Drosophila melanogaster, to estimate the relative contributions of the X chromosome, autosomes, and mitochondrial genome to divergence in four traits involved in local adaptation (wing size, resistance to heat, desiccation, and starvation stresses). We found that the mitochondrial genome and autosomes contributed significantly to clinal divergence in three of the four traits. In contrast, the X made no significant contribution to divergence in these traits. Given the small size of the mitochondrial genome, our results indicate that it plays a surprisingly large role in clinal adaptation. In contrast, the X, which represents roughly 20% of the Drosophila genome, contributes negligiblya pattern that conflicts with theoretical predictions. These patterns reinforce recent work implying a central role of mitochondria in climatic adaptation, and suggest that different genomic regions may play fundamentally different roles in processes of divergence with gene flow.
C1 [Lasne, Clementine; Van Heerwaarden, Belinda; Sgro, Carla M.; Connallon, Tim] Monash Univ, Sch Biol Sci, Clayton, Vic 3800, Australia.
C3 Monash University
RP Lasne, C (corresponding author), Monash Univ, Sch Biol Sci, Clayton, Vic 3800, Australia.
EM clementine.lasne@gmail.com
RI Lasne, Clementine/W-1296-2019; Sgro, Carla/G-5166-2010; van Heerwaarden,
   Belinda/A-4515-2012; Connallon, Tim/B-6726-2016
OI van Heerwaarden, Belinda/0000-0003-2435-2900; Lasne,
   Clementine/0000-0002-1197-8616
FU School of Biological Sciences at Monash University; Australian Research
   Council
FX We are grateful to Fiona Cockerell, Teresa Kutz, Chris Allan, Sonia
   Sanchez, Michael Roast, Felix Zajitschek, Hariz Ahmad, Taylor Graham,
   and Oscar Formoso for assistance with fly maintenance and phenotyping
   scoring, and to Damian Dowling, the AE, and two anonymous reviewers for
   valuable comments and suggestions on an earlier version of the
   manuscript. Support for this research was provided by the School of
   Biological Sciences at Monash University and the Australian Research
   Council.
CR Adams MD, 2000, SCIENCE, V287, P2185, DOI 10.1126/science.287.5461.2185
   Allen SL, 2017, MOL ECOL, V26, P1256, DOI 10.1111/mec.14015
   Anderson AR, 2005, MOL ECOL, V14, P851, DOI 10.1111/j.1365-294X.2005.02445.x
   Anderson AR, 2003, HEREDITY, V90, P195, DOI 10.1038/sj.hdy.6800220
   [Anonymous], 1996, The Genetical Analysis of Quantitative Traits
   [Anonymous], 2006, TpsDig, version 2.10, digitalized landmarks and outlines
   [Anonymous], 1971, Genetics of the Evolutionary Process
   [Anonymous], 2010, Elements of Evolutionary Genetics
   [Anonymous], 1977, GEOGRAPHIC VARIATION
   [Anonymous], 1982, Introduction to Biometrical Genetics
   AVERY PJ, 1984, GENET RES, V44, P321, DOI 10.1017/S0016672300026550
   Bachtrog D, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001899
   Balloux F, 2009, P ROY SOC B-BIOL SCI, V276, P3447, DOI 10.1098/rspb.2009.0752
   Bergstrom CT, 1998, GENETICS, V149, P2135
   Blackmon H, 2016, EVOLUTION, V70, P420, DOI 10.1111/evo.12844
   Blanquart F, 2012, J EVOLUTION BIOL, V25, P1351, DOI 10.1111/j.1420-9101.2012.02524.x
   Camus MF, 2017, MOL BIOL EVOL, V34, P2600, DOI 10.1093/molbev/msx184
   CARSON HL, 1984, P NATL ACAD SCI-BIOL, V81, P6904, DOI 10.1073/pnas.81.21.6904
   Chakraborty M, 2018, NAT GENET, V50, P20, DOI 10.1038/s41588-017-0010-y
   CHARLESWORTH B, 1987, AM NAT, V130, P113, DOI 10.1086/284701
   Charlesworth B, 2001, CURR BIOL, V11, pR182, DOI 10.1016/S0960-9822(01)00089-6
   Charlesworth B, 2018, MOL ECOL, V27, P3753, DOI 10.1111/mec.14534
   Charlesworth B, 2018, GENETICS, V208, P377, DOI 10.1534/genetics.117.300426
   Chippindale AK, 2001, P NATL ACAD SCI USA, V98, P5677, DOI 10.1073/pnas.101456898
   Connallon T, 2018, PHILOS T R SOC B, V373, DOI 10.1098/rstb.2017.0423
   Connallon T, 2018, PLOS BIOL, V16, DOI 10.1371/journal.pbio.2006735
   Durmaz E, 2018, J EVOLUTION BIOL, V31, P1354, DOI 10.1111/jeb.13310
   Fabian DK, 2012, MOL ECOL, V21, P4748, DOI 10.1111/j.1365-294X.2012.05731.x
   Fox CW, 2004, J EVOLUTION BIOL, V17, P1007, DOI 10.1111/j.1420-9101.2004.00752.x
   GarciaRamos G, 1997, EVOLUTION, V51, P21, DOI [10.2307/2410956, 10.1111/j.1558-5646.1997.tb02384.x]
   Gilchrist AS, 1999, GENETICS, V153, P1775
   HALDANE JBS, 1948, J GENET, V48, P277, DOI 10.1007/BF02986626
   Hallas R, 2002, GENET RES, V79, P141, DOI 10.1017/S0016672301005523
   Hartl D.L., 2007, Principles of Population Genetics
   Hedrick PW, 2007, EVOLUTION, V61, P2750, DOI 10.1111/j.1558-5646.2007.00250.x
   Heyer E, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-1-203
   Hoban S, 2016, AM NAT, V188, P379, DOI 10.1086/688018
   Hoffmann AA, 2002, ECOL LETT, V5, P614, DOI 10.1046/j.1461-0248.2002.00367.x
   Hoffmann AA, 2007, GENETICA, V129, P133, DOI 10.1007/s10709-006-9010-z
   JAMES AC, 1995, GENETICS, V140, P659
   James JE, 2016, MOL ECOL, V25, P67, DOI 10.1111/mec.13475
   Kapun M, 2016, MOL BIOL EVOL, V33, P1317, DOI 10.1093/molbev/msw016
   Kennington WJ, 2003, GENETICS, V165, P667
   Kennington WJ, 2001, HEREDITY, V87, P363, DOI 10.1046/j.1365-2540.2001.00925.x
   Kirkpatrick M, 2006, GENETICS, V173, P419, DOI 10.1534/genetics.105.047985
   Kirkpatrick M, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000501
   KNIBB WR, 1982, GENETICA, V58, P213, DOI 10.1007/BF00128015
   Kolaczkowski B, 2011, GENETICS, V187, P245, DOI 10.1534/genetics.110.123059
   Krimbas CB., 1992, Drosophila inversion polymorphism
   Lambert CA, 2010, AM J HUM GENET, V86, P34, DOI 10.1016/j.ajhg.2009.12.002
   Lasne C, 2018, EVOLUTION, V72, P1317, DOI 10.1111/evo.13494
   Lasne C, 2017, GENETICS, V205, P1285, DOI 10.1534/genetics.116.194670
   Lenormand T, 2002, TRENDS ECOL EVOL, V17, P183, DOI 10.1016/S0169-5347(02)02497-7
   Lowry DB, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000500
   Markow TA, 2000, OIKOS, V89, P378, DOI 10.1034/j.1600-0706.2000.890219.x
   Meisel RP, 2013, TRENDS GENET, V29, P537, DOI 10.1016/j.tig.2013.05.009
   Mishmar D, 2003, P NATL ACAD SCI USA, V100, P171, DOI 10.1073/pnas.0136972100
   Mittleman BE, 2017, ECOL EVOL, V7, P533, DOI 10.1002/ece3.2634
   Morales HE, 2015, MOL ECOL, V24, P2820, DOI 10.1111/mec.13203
   Moran P., 1962, STAT PROCESSES EVOLU
   MORAN P. A. P., 1959, AUSTRALIAN JOUR BIOL SCI, V12, P109
   Nosil P, 2009, MOL ECOL, V18, P375, DOI 10.1111/j.1365-294X.2008.03946.x
   Orr HA, 2010, PHILOS T R SOC B, V365, P1195, DOI 10.1098/rstb.2009.0282
   Orr HA, 1998, GENETICS, V149, P2099
   Parkash R, 1999, J ZOOL SYST EVOL RES, V37, P195
   Parkash R, 2012, EVOL ECOL, V26, P149, DOI 10.1007/s10682-011-9482-x
   Polechová J, 2018, PLOS BIOL, V16, DOI 10.1371/journal.pbio.2005372
   Polechová J, 2015, P NATL ACAD SCI USA, V112, P6401, DOI 10.1073/pnas.1421515112
   Presgraves DC, 2008, TRENDS GENET, V24, P336, DOI 10.1016/j.tig.2008.04.007
   Presgraves DC, 2018, MOL ECOL, V27, P3822, DOI 10.1111/mec.14777
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Rajpurohit S, 2013, COMP BIOCHEM PHYS A, V164, P391, DOI 10.1016/j.cbpa.2012.11.013
   Rako L, 2006, GENETICA, V128, P373, DOI 10.1007/s10709-006-7375-7
   Reinhold K, 1998, BEHAV ECOL SOCIOBIOL, V44, P1, DOI 10.1007/s002650050508
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Sgrò CM, 2010, J EVOLUTION BIOL, V23, P2484, DOI 10.1111/j.1420-9101.2010.02110.x
   Sheets H.D., 2003, IMP INTEGRATED MORPH
   Stefansson H, 2005, NAT GENET, V37, P129, DOI 10.1038/ng1508
   Trochet A, 2016, Q REV BIOL, V91, P297, DOI 10.1086/688097
   Turner TL, 2008, GENETICS, V179, P455, DOI 10.1534/genetics.107.083659
   van Heerwaarden B, 2017, EVOLUTION, V71, P2618, DOI 10.1111/evo.13342
   van Heerwaarden B, 2011, EVOLUTION, V65, P1048, DOI 10.1111/j.1558-5646.2010.01196.x
   Via S, 2008, MOL ECOL, V17, P4334, DOI 10.1111/j.1365-294X.2008.03921.x
   Weeks AR, 2002, ECOL LETT, V5, P756, DOI 10.1046/j.1461-0248.2002.00380.x
   Wilson Sayres Melissa A, 2014, PLoS Genet, V10, pe1004064, DOI 10.1371/journal.pgen.1004064
   Wolff JN, 2016, MITOCHONDRIAL DNA A, V27, P4672, DOI 10.3109/19401736.2015.1106496
   Yeaman S, 2011, EVOLUTION, V65, P2123, DOI 10.1111/j.1558-5646.2011.01277.x
   Yeaman S, 2011, EVOLUTION, V65, P1897, DOI 10.1111/j.1558-5646.2011.01269.x
NR 88
TC 16
Z9 18
U1 0
U2 25
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0014-3820
EI 1558-5646
J9 EVOLUTION
JI Evolution
PD FEB
PY 2019
VL 73
IS 2
BP 262
EP 277
DI 10.1111/evo.13647
PG 16
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA HL6MD
UT WOS:000458847800010
PM 30417348
DA 2025-01-10
ER

PT J
AU Drach, P
   Krüger, EL
   Emmanuel, R
AF Drach, Patricia
   Kruger, Eduardo L.
   Emmanuel, Rohinton
TI Effects of atmospheric stability and urban morphology on daytime
   intra-urban temperature variability for Glasgow, UK
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Intra-urban temperature differences; Atmospheric stability; Urban
   morphology; Climate change; Urban design
ID HEAT-ISLAND; CLIMATE-CHANGE; AIR-TEMPERATURE; LAND-USE; GEOMETRY;
   COMFORT; LONDON; CITY; VEGETATION; QUALITY
AB This study investigates the joint effect of atmospheric conditions and urban morphology, expressed as the Sky View Factor (SVF), on intra-urban variability. The study has been carried out in Glasgow, UK, a shrinking city with a maritime temperate climate type, and findings could guide future climate adaptation plans in terms of morphology and services provided by the municipality to overcome thermal discomfort in outdoor settings. In this case, SVF has been used as an indicator of urban morphology. The modified Pasquill-Gifford-Turner (PGT) classification system was adopted for classifying the temperature monitoring periods according to atmospheric stability conditions. Thirty two locations were selected on the basis of SVF with a wide variety of urban shapes (narrow streets, neighbourhood green spaces, urban parks, street canyons and public squares) and compared to a reference weather station during a total of twenty three transects during late spring and summer in 2013. Maximum daytime intra-urban temperature differences were found to be strongly correlated with atmospheric stability classes. Furthermore, differences in air temperature are noticeable in urban canyons, with a direct correlation to the site's SVF (or sky openness) and with an inverse trend under open-air conditions. (C) 2018 Elsevier B.V. All rights reserved.
C1 [Drach, Patricia] Univ Estado Rio De Janeiro, Dept Arquitetura & Urbanism, Rio De Janeiro, Brazil.
   [Kruger, Eduardo L.] Univ Tecnol Fed Parana, Dept Construcao Civil, Campus Curitiba Sede Ecoville, BR-81280340 Curitiba, Parana, Brazil.
   [Emmanuel, Rohinton] Glasgow Caledonian Univ, Sch Engn & Built Environm, Glasgow, Lanark, Scotland.
C3 Universidade do Estado do Rio de Janeiro; Universidade Tecnologica
   Federal do Parana; Glasgow Caledonian University
RP Krüger, EL (corresponding author), Univ Tecnol Fed Parana, Dept Construcao Civil, Campus Curitiba Sede Ecoville, BR-81280340 Curitiba, Parana, Brazil.
EM patricia.drach@uerj.br; ekruger@utfpr.edu.br;
   Rohinton.Emmanuel@gcu.ac.uk
RI Drach, Patricia/AAW-5978-2021; Kruger, Eduardo/AAY-7243-2020; Emmanuel,
   Rohinton/H-6313-2019; Kruger, Eduardo/K-6644-2012
OI Chaves Drach, Patricia Regina/0000-0002-1548-4592; Emmanuel,
   Rohinton/0000-0002-3726-5892; Kruger, Eduardo/0000-0003-2895-5530
CR [Anonymous], 1998, ISO 7726
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], 2009, PLANNING CLIMATE CHA
   [Anonymous], 902 ANSIASHRAE
   [Anonymous], 2005, Ergonomics of the thermal environment _ Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria
   [Anonymous], WORKBOOK AFINOSPHELI
   [Anonymous], 2004, HEAT WAVES RISKS RES
   Beniston M, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2003GL018857
   Carter JG, 2011, CURR OPIN ENV SUST, V3, P193, DOI 10.1016/j.cosust.2010.12.015
   Chen L, 2012, CITIES, V29, P118, DOI 10.1016/j.cities.2011.08.006
   Eliasson I, 2003, METEOROL APPL, V10, P135, DOI 10.1017/S1350482703002056
   Eliasson I, 1996, ATMOS ENVIRON, V30, P379, DOI 10.1016/1352-2310(95)00033-X
   Emmanuel R, 2015, LANDSCAPE URBAN PLAN, V138, P71, DOI 10.1016/j.landurbplan.2015.02.012
   Emmanuel R, 2012, BUILD ENVIRON, V53, P137, DOI 10.1016/j.buildenv.2012.01.020
   Gronlund CJ, 2014, ENVIRON HEALTH PERSP, V122, P1187, DOI 10.1289/ehp.1206132
   Hebbert M, 2013, URBAN STUD, V50, P1332, DOI 10.1177/0042098013480970
   Holmer B, 2013, INT J CLIMATOL, V33, P3089, DOI 10.1002/joc.3561
   Höppe P, 1999, INT J BIOMETEOROL, V43, P71, DOI 10.1007/s004840050118
   Kassomenos PA, 2003, THEOR APPL CLIMATOL, V75, P65, DOI 10.1007/s00704-003-0730-z
   Kershaw T, 2010, BUILD SERV ENG RES T, V31, P251, DOI 10.1177/0143624410365033
   Kleerekoper L, 2012, RESOUR CONSERV RECY, V64, P30, DOI 10.1016/j.resconrec.2011.06.004
   Kolokotroni M, 2006, SOL ENERGY, V80, P383, DOI 10.1016/j.solener.2005.03.010
   Kolokotroni M, 2008, SOL ENERGY, V82, P986, DOI 10.1016/j.solener.2008.05.004
   Kolokotsa D, 2009, SOL ENERGY, V83, P1871, DOI 10.1016/j.solener.2009.06.018
   Konarska J, 2016, INT J CLIMATOL, V36, P2379, DOI 10.1002/joc.4502
   Krüger E, 2013, LANDSCAPE URBAN PLAN, V117, P112, DOI 10.1016/j.landurbplan.2013.04.019
   Krüger E, 2013, INT J BIOMETEOROL, V57, P521, DOI 10.1007/s00484-012-0578-y
   Lai LW, 2009, SCI TOTAL ENVIRON, V407, P2724, DOI 10.1016/j.scitotenv.2008.12.002
   Lee SH, 2009, LANDSC ECOL ENG, V5, P183, DOI 10.1007/s11355-009-0067-6
   Matzarakis A, 2007, INT J BIOMETEOROL, V51, P323, DOI 10.1007/s00484-009-0261-0
   Mavrogianni A, 2011, BUILD SERV ENG RES T, V32, P35, DOI 10.1177/0143624410394530
   Mirzaei PA, 2010, BUILD ENVIRON, V45, P2192, DOI 10.1016/j.buildenv.2010.04.001
   Mohan M, 1998, ATMOS ENVIRON, V32, P3775, DOI 10.1016/S1352-2310(98)00109-5
   Oikonomou E, 2012, BUILD ENVIRON, V57, P223, DOI 10.1016/j.buildenv.2012.04.002
   OKE TR, 1981, J CLIMATOL, V1, P237, DOI 10.1002/joc.3370010304
   Russo S, 2014, J GEOPHYS RES-ATMOS, V119, P12500, DOI 10.1002/2014JD022098
   Scott AA, 2017, J APPL METEOROL CLIM, V56, P159, DOI 10.1175/JAMC-D-16-0232.1
   Shimoda Y, 2003, BUILD RES INF, V31, P222, DOI 10.1080/0961321032000097647
   Souza L., 2007, Energy for Sustainable Development, V11, P44, DOI [10.1016/S0973-0826(08)60409-3, DOI 10.1016/S0973-0826(08)60409-3]
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Stone B, 2012, LANDSCAPE URBAN PLAN, V107, P263, DOI 10.1016/j.landurbplan.2012.05.014
   Svensson MK, 2004, METEOROL APPL, V11, P201, DOI 10.1017/S1350482704001288
   Tomlinson CJ, 2012, INT J CLIMATOL, V32, P214, DOI 10.1002/joc.2261
   Unger J, 2004, CLIM RES, V27, P253, DOI 10.3354/cr027253
   Unger J, 2001, METEOROL APPL, V8, P189, DOI 10.1017/S1350482701002067
   Unger J, 2009, INT J ENVIRON POLLUT, V36, P59, DOI 10.1504/IJEP.2009.021817
   Upmanis H, 1999, CLIMATE RES, V13, P125, DOI 10.3354/cr013125
   Zhang X, 2017, NAT COMMUN, V8, DOI [10.1038/ncomms15280, 10.1038/ncomms14542]
NR 48
TC 19
Z9 20
U1 3
U2 71
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 15
PY 2018
VL 627
BP 782
EP 791
DI 10.1016/j.scitotenv.2018.01.285
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA GF3IV
UT WOS:000431848500075
PM 29426203
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Liang, L
AF Liang, Liang
TI Geographic variations in spring and autumn phenology of white ash in a
   common garden
SO PHYSICAL GEOGRAPHY
LA English
DT Article
DE Fraxinus americana; climatic adaptation; geographic gradient; climate
   change; seasonality; genotypic variation
ID POPULATION-LEVEL VARIATION; GENETIC-VARIATION; CLIMATE-CHANGE; SUGAR
   MAPLE; BUD-BURST; GROWTH; LEAF; SENESCENCE; TEMPERATURE; DORMANCY
AB Geographic variations in plant phenology are known to be affected by climatic differences over space, but the role of adaptation variability of plant populations is less well understood. In this study, I examined the geographic variations in spring and autumn phenology of white ash (Fraxinus americana L.) in a common garden and related observations over a 2-year period (2013 and 2014) to climatic and geographic factors of their provenances. Spring leaf-out of trees with northern provenances occurred later in 2013, but slightly earlier in 2014, than those with southern provenances. This difference was potentially caused by the counterbalancing effect of chilling and forcing in response to interannual temperature fluctuations. In both years, leaf senescence of white ash occurred significantly earlier for trees with northern than southern provenances, reflecting strong adaptation to a photoperiod gradient. The growing season length for white ash, therefore, is constrained by spring and fall phenology through different environmental cues. Spring phenology exerted a greater influence on the interannualvariability of growing season length. Identifying these detailed adaptive patterns facilitates a better understanding of phenological change over space and allows development of genotype-sensitive phenological models to predict the ecological impact of climate change.
C1 [Liang, Liang] Univ Kentucky, Dept Geog, 817 Patterson Off Tower, Lexington, KY 40506 USA.
C3 University of Kentucky
RP Liang, L (corresponding author), Univ Kentucky, Dept Geog, 817 Patterson Off Tower, Lexington, KY 40506 USA.
EM liang.liang@uky.edu
FU University of Kentucky
FX The work was supported by the University of Kentucky.
CR Alfaro RI, 2014, FOREST ECOL MANAG, V333, P76, DOI 10.1016/j.foreco.2014.04.006
   [Anonymous], P CENTR HARDW FOR C
   [Anonymous], P 8 CENTR HARDW FOR
   [Anonymous], 2007, CONTRIBUTION WORKING
   [Anonymous], 1976, P 10 CENTRAL STATES
   [Anonymous], 1957, RES B
   [Anonymous], 28 NE FOR TREE IMPR
   [Anonymous], 1971, ATLAS US TREES
   [Anonymous], NE684 USDA FOR SERV
   [Anonymous], THESIS U KANSAS LAWR
   [Anonymous], US FOR SERV GEN TECH
   [Anonymous], 1994, SILVAE GENET
   Basler D, 2012, AGR FOREST METEOROL, V165, P73, DOI 10.1016/j.agrformet.2012.06.001
   Caffarra A, 2011, CLIM RES, V46, P147, DOI 10.3354/cr00980
   Caffarra A, 2011, INT J BIOMETEOROL, V55, P711, DOI 10.1007/s00484-010-0386-1
   CAMPBELL RK, 1979, BOT GAZ, V140, P223, DOI 10.1086/337079
   Caprio J. M., 1974, Phenology and seasonality modeling., P353
   Carter KK, 1996, CAN J FOREST RES, V26, P1089, DOI 10.1139/x26-120
   Cech F. C., 1979, Proceedings, First North Central Tree Improvement Conference, Madison, Wisconsin, August 21-23, 1979, P21
   Celton JM, 2011, NEW PHYTOL, V192, P378, DOI 10.1111/j.1469-8137.2011.03823.x
   Chmura DJ, 2002, SILVAE GENET, V51, P123
   Chuine I, 2000, J ECOL, V88, P561, DOI 10.1046/j.1365-2745.2000.00468.x
   CLAUSEN KE, 1981, SILVAE GENET, V30, P93
   CLAUSEN KE, 1984, CAN J FOREST RES, V14, P775, DOI 10.1139/x84-138
   CLAUSEN KE, 1982, CAN J FOREST RES, V12, P440, DOI 10.1139/x82-067
   Cleland EE, 2007, TRENDS ECOL EVOL, V22, P357, DOI 10.1016/j.tree.2007.04.003
   Coville FV, 1920, P NATL ACAD SCI USA, V6, P434, DOI 10.1073/pnas.6.7.434
   Donnelly A, 2012, CLIM RES, V53, P245, DOI 10.3354/cr01102
   Donnelly A., 2011, Systematics Association Special Volume Series, V78, P176
   DUBA S E, 1981, Southern Journal of Applied Forestry, V5, P65
   FARMER RE, 1993, SILVAE GENET, V42, P148
   Flint H.L., 1974, Phenology and seasonality modeling, P83
   Fracheboud Y, 2009, PLANT PHYSIOL, V149, P1982, DOI 10.1104/pp.108.133249
   Fu YSH, 2014, P NATL ACAD SCI USA, V111, P7355, DOI 10.1073/pnas.1321727111
   Gallinat AS, 2015, TRENDS ECOL EVOL, V30, P169, DOI 10.1016/j.tree.2015.01.004
   Gan SS, 1997, PLANT PHYSIOL, V113, P313, DOI 10.1104/pp.113.2.313
   Haack RA., 2002, Newsl Mich Entomol Soc, V47, P1
   Hall D, 2007, EVOLUTION, V61, P2849, DOI 10.1111/j.1558-5646.2007.00230.x
   Hopkins A.D., 1918, Periodical events and natural law as guides to agricultural research and practice
   Hwang T, 2014, GLOBAL CHANGE BIOL, V20, P2580, DOI 10.1111/gcb.12556
   Keenan TF, 2015, GLOBAL CHANGE BIOL, V21, P2634, DOI 10.1111/gcb.12890
   KRIEBEL H. B., 1962, SILVAE GENET, V11, P125
   LANG GA, 1987, HORTSCIENCE, V22, P371
   LECHOWICZ MJ, 1984, AM NAT, V124, P821, DOI 10.1086/284319
   Liang L, 2014, INT J BIOMETEOROL, V58, P1789, DOI 10.1007/s00484-013-0691-6
   Liang L, 2014, CLIMATIC CHANGE, V122, P735, DOI 10.1007/s10584-013-1024-9
   Liu LL, 2015, REMOTE SENS ENVIRON, V160, P156, DOI 10.1016/j.rse.2015.01.011
   Marchin RM, 2008, TREE PHYSIOL, V28, P151, DOI 10.1093/treephys/28.1.151
   Matyas C, 1996, EUPHYTICA, V92, P45, DOI 10.1007/BF00022827
   McCabe GJ, 2012, INT J CLIMATOL, V32, P2301, DOI 10.1002/joc.3400
   McCarragher SR, 2011, PHYS GEOGR, V32, P1, DOI 10.2747/0272-3646.32.1.1
   Munné-Bosch S, 2004, FUNCT PLANT BIOL, V31, P203, DOI 10.1071/FP03236
   Nienstaedt H., 1974, PHENOLOGY SEASONALIT, P389
   Noodén LD, 1997, PHYSIOL PLANTARUM, V101, P746, DOI 10.1111/j.1399-3054.1997.tb01059.x
   Olson MS, 2013, MOL ECOL, V22, P1214, DOI 10.1111/mec.12067
   PERRY TO, 1960, ECOLOGY, V41, P790, DOI 10.2307/1931816
   Polgar C, 2014, NEW PHYTOL, V202, P106, DOI 10.1111/nph.12647
   Richardson AD, 2006, GLOBAL CHANGE BIOL, V12, P1174, DOI 10.1111/j.1365-2486.2006.01164.x
   Rohde A, 2011, TREE PHYSIOL, V31, P472, DOI 10.1093/treephys/tpr038
   Schlesinger R.C., 1990, SILVICS N AM, V2, P333
   Schwartz MD, 2013, AGR FOREST METEOROL, V169, P136, DOI 10.1016/j.agrformet.2012.10.014
   Schwartz MD, 2010, INT J CLIMATOL, V30, P1595, DOI 10.1002/joc.2014
   Schwartz MD, 1997, PROG BIOMET, V12, P23
   Stout S. L., 1986, Northern Journal of Applied Forestry, V3, P69
   Taiz L., 2010, Plant Physiology, VFifth
   Team RC, 2014, R: A Language and Environment for Statistical Computing
   THOMAS H, 1980, ANNU REV PLANT PHYS, V31, P83, DOI 10.1146/annurev.pp.31.060180.000503
   VAARTAJA O, 1959, ECOL MONOGR, V29, P91, DOI 10.2307/1942199
   Vitasse Y, 2010, FUNCT ECOL, V24, P1211, DOI 10.1111/j.1365-2435.2010.01748.x
   Vitasse Y, 2009, CAN J FOREST RES, V39, P1259, DOI 10.1139/X09-054
   Way DA, 2015, PLANT CELL ENVIRON, V38, P1725, DOI 10.1111/pce.12431
   Way DA, 2011, TREE PHYSIOL, V31, P469, DOI 10.1093/treephys/tpr044
   WEBB DP, 1977, FOREST SCI, V23, P474
   Wright Jonathan W., 1944, JOUR FOREST, V42, P489
NR 74
TC 13
Z9 14
U1 4
U2 44
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0272-3646
EI 1930-0557
J9 PHYS GEOGR
JI Phys. Geogr.
PD NOV 2
PY 2015
VL 36
IS 6
BP 489
EP 509
DI 10.1080/02723646.2015.1123538
PG 21
WC Environmental Sciences; Geography, Physical; Geosciences,
   Multidisciplinary; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography; Geology;
   Meteorology & Atmospheric Sciences
GA DE9UD
UT WOS:000370984000003
DA 2025-01-10
ER

PT J
AU Yakovlev, IA
   Fossdal, CG
   Johnsen, O
AF Yakovlev, Igor A.
   Fossdal, Carl Gunnar
   Johnsen, Oystein
TI MicroRNAs, the epigenetic memory and climatic adaptation in Norway
   spruce
SO NEW PHYTOLOGIST
LA English
DT Article
DE bud set; epigenetic; microRNA; miRNA expression; reverse-transcription
   polymerase chain reaction (RT-PCR)
ID PICEA-ABIES; COMPUTATIONAL IDENTIFICATION; ECTOPIC EXPRESSION;
   PINUS-CONTORTA; GENE; MIRNA; TEMPERATURE; BIOGENESIS; MODULATION;
   DAYLENGTH
AB P>Norway spruce expresses a temperature-dependent epigenetic memory from the time of embryo development, which thereafter influences the timing bud phenology. MicroRNAs (miRNAs)are endogenous small RNAs, exerting epigenetic gene regulatory impacts. We have tested for their presence and differential expression.
   We prepared concatemerized small RNA libraries from seedlings of two full-sib families, originated from seeds developed in a cold and warm environment. One family expressed distinct epigenetic effects while the other not. We used available plant miRNA query sequences to search for conserved miRNAs and from the sequencing we found novel ones; the miRNAs were monitored using relative real time-PCR.
   Sequencing identified 24 novel and four conserved miRNAs. Further screening of the conserved miRNAs confirmed the presence of 16 additional miRNAs. Most of the miRNAs were targeted to unknown genes. The expression of seven conserved and nine novel miRNAs showed significant differences in transcript levels in the full-sib family showing distinct epigenetic difference in bud set, but not in the nonresponding full-sib family. Putative miRNA targets were studied.
   Norway spruce contains a set of conserved miRNAs as well as a large proportion of novel nonconserved miRNAs. The differentially expression of specific miRNAs indicate their putative participation in the epigenetic regulation.
C1 [Yakovlev, Igor A.; Fossdal, Carl Gunnar] Norwegian Forest & Landscape Inst, N-1431 As, Norway.
   [Johnsen, Oystein] Univ Life Sci, Dept Plant & Environm Sci, N-1432 As, Norway.
C3 The Norwegian Forest & Landscape Institute; Norwegian University of Life
   Sciences
RP Yakovlev, IA (corresponding author), Norwegian Forest & Landscape Inst, POB 115, N-1431 As, Norway.
EM igor.yakovlev@skogoglandskap.no
RI Yakovlev, Igor/AAO-1314-2020; Fossdal, Carl Gunnar/C-5536-2008
OI Fossdal, Carl Gunnar/0000-0002-7390-7864; Yakovlev,
   Igor/0000-0002-2731-7433
FU Norwegian Research Council [191455]; Norwegian University of Life
   Sciences (UMB)
FX We thank Monica Fongen (Norwegian Forest and Landscape Institute) for
   excellent technical help during small RNA extraction and libraries
   construction. This work was supported by the Norwegian Research Council
   (Grants # 191455) and the Norwegian University of Life Sciences (UMB).
CR Abdel-Ghany SE, 2008, J BIOL CHEM, V283, P15932, DOI 10.1074/jbc.M801406200
   Achard P, 2004, DEVELOPMENT, V131, P3357, DOI 10.1242/dev.01206
   Allen RS, 2007, P NATL ACAD SCI USA, V104, P16371, DOI 10.1073/pnas.0707653104
   Ambros V, 2003, RNA, V9, P277, DOI 10.1261/rna.2183803
   Axtell MJ, 2008, TRENDS PLANT SCI, V13, P343, DOI 10.1016/j.tplants.2008.03.009
   Axtell MJ, 2005, PLANT CELL, V17, P1658, DOI 10.1105/tpc.105.032185
   Bartel DP, 2004, CELL, V116, P281, DOI 10.1016/S0092-8674(04)00045-5
   Carthew RW, 2009, CELL, V136, P642, DOI 10.1016/j.cell.2009.01.035
   Chu CY, 2007, J CELL PHYSIOL, V213, P412, DOI 10.1002/jcp.21230
   Dolgosheina EV, 2008, RNA, V14, P1508, DOI 10.1261/rna.1052008
   Fahlgren N, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000219
   Gandikota M, 2007, PLANT J, V49, P683, DOI 10.1111/j.1365-313X.2006.02983.x
   Gong XM, 2008, PLANTA, V228, P563, DOI 10.1007/s00425-008-0759-4
   Griffiths-Jones S, 2008, NUCLEIC ACIDS RES, V36, pD154, DOI 10.1093/nar/gkm952
   Gruber AR, 2008, NUCLEIC ACIDS RES, V36, pW70, DOI 10.1093/nar/gkn188
   He XF, 2008, FEBS LETT, V582, P2445, DOI 10.1016/j.febslet.2008.06.011
   Johnsen O, 2005, PLANT CELL ENVIRON, V28, P1090, DOI 10.1111/j.1365-3040.2005.01356.x
   Johnsen O, 2005, NEW PHYTOL, V168, P589, DOI 10.1111/j.1469-8137.2005.01538.x
   Kim VN, 2005, NAT REV MOL CELL BIO, V6, P376, DOI 10.1038/nrm1644
   Kuhn DE, 2008, METHODS, V44, P47, DOI 10.1016/j.ymeth.2007.09.005
   Kvaalen H, 2008, NEW PHYTOL, V177, P49, DOI 10.1111/j.1469-8137.2007.02222.x
   Liu DM, 2009, PHYSIOL PLANTARUM, V136, P223, DOI 10.1111/j.1399-3054.2009.01229.x
   Liu PP, 2007, PLANT J, V52, P133, DOI 10.1111/j.1365-313X.2007.03218.x
   Lu SF, 2007, PLANT J, V51, P1077, DOI 10.1111/j.1365-313X.2007.03208.x
   Manning K, 2006, NAT GENET, V38, P948, DOI 10.1038/ng1841
   Meyers BC, 2006, CURR OPIN BIOTECH, V17, P139, DOI 10.1016/j.copbio.2006.01.008
   Millar AA, 2005, PLANT CELL, V17, P705, DOI 10.1105/tpc.104.027920
   Montgomery TA, 2008, P NATL ACAD SCI USA, V105, P20055, DOI 10.1073/pnas.0810241105
   Morin RD, 2008, GENOME RES, V18, P571, DOI 10.1101/gr.6897308
   Oh TJ, 2008, NEW PHYTOL, V179, P67, DOI 10.1111/j.1469-8137.2008.02448.x
   Olsen JE, 1997, PLANT J, V12, P1339, DOI 10.1046/j.1365-313x.1997.12061339.x
   Rana TM, 2007, NAT REV MOL CELL BIO, V8, P23, DOI 10.1038/nrm2085
   Rehfeldt GE, 1999, ECOL MONOGR, V69, P375, DOI 10.1890/0012-9615(1999)069[0375:GRTCIP]2.0.CO;2
   Rehfeldt GE, 2002, GLOBAL CHANGE BIOL, V8, P912, DOI 10.1046/j.1365-2486.2002.00516.x
   Reyes JL, 2007, PLANT J, V49, P592, DOI 10.1111/j.1365-313X.2006.02980.x
   Riese M, 2007, GENE, V401, P28, DOI 10.1016/j.gene.2007.06.018
   Rohde A, 2008, NEW PHYTOL, V177, P2, DOI 10.1111/j.1469-8137.2007.02319.x
   Rozen S, 2000, Methods Mol Biol, V132, P365
   Schneider DA, 2006, P NATL ACAD SCI USA, V103, P12707, DOI 10.1073/pnas.0605686103
   Tsuji H, 2006, PLANT J, V47, P427, DOI 10.1111/j.1365-313X.2006.02795.x
   Valdés-López O, 2008, PLANT CELL ENVIRON, V31, P1834, DOI 10.1111/j.1365-3040.2008.01883.x
   Wu G, 2006, DEVELOPMENT, V133, P3539, DOI 10.1242/dev.02521
   Xue LJ, 2009, NUCLEIC ACIDS RES, V37, P916, DOI 10.1093/nar/gkn998
   Yang TW, 2007, PLANT SCI, V172, P423, DOI 10.1016/j.plantsci.2006.10.009
   Zhang BH, 2006, COMPUT BIOL CHEM, V30, P395, DOI 10.1016/j.compbiolchem.2006.08.006
   Zhang BH, 2006, DEV BIOL, V289, P3, DOI 10.1016/j.ydbio.2005.10.036
   Zhang WW, 2009, COMPUT BIOL CHEM, V33, P84, DOI 10.1016/j.compbiolchem.2008.07.006
   Zuker M, 2003, NUCLEIC ACIDS RES, V31, P3406, DOI 10.1093/nar/gkg595
NR 48
TC 124
Z9 175
U1 0
U2 65
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.
PY 2010
VL 187
IS 4
BP 1154
EP 1169
DI 10.1111/j.1469-8137.2010.03341.x
PG 16
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 639TY
UT WOS:000280998600027
PM 20561211
DA 2025-01-10
ER

PT J
AU Gamalei, YV
   Pakhomova, MV
   Scheremet'ev, SN
AF Gamalei, Yu. V.
   Pakhomova, M. V.
   Scheremet'ev, S. N.
TI Dicotyledons of Cretaceous, Palaeogene, and Neogene. Adaptogenesis of
   the terminal phloem
SO ZHURNAL OBSHCHEI BIOLOGII
LA Russian
DT Article
ID EARLY EOCENE; EVOLUTION; LEAVES; TEMPERATURE; PALEOCENE; NORTHERN;
   PLANTS; LEVEL; TREES; FLORA
AB A database containing information on the trait complex for terminal phloem of dicots leaf having been created during the last thirty years was analyzed. The typology of terminal phloem was verified. The monotypy of plant taxa up to the family level was confirmed. For orders and subclasses, the wide distribution of structural parallelisms was demonstrated. The lists of plant families with similar structures of the phloem terminals was elaborated. As a result of comparative analysis of these lists and paleobotanic data on the age of plant families, the specificity of the types of terminal phloem and the associated morphological and functional characteristics of the groups of families of the same evolutionary, age were revealed. Ancestral type prevails among the families belonging to Prodicots, which were emerged during Cretaceous. Symplastic type is characteristic to the families of Eudicots and biomes appeared in Paleogene, while the apoplastic type is characteristic to the families and biomes of Neogene. For each group to taxa, plant stem and root parasitism is characteristic for the crown taxa completing the structural sequences of trees and herbs. All these data allow discussion of the questions of climatic adaptogenesis of the character complex studied here, the impossibility of structural iterations in morphological evolution, and the reasons of similarities and differences in the evolutionary and contemporary zonal series of the terminal phloem in Dicots.
C1 [Gamalei, Yu. V.; Pakhomova, M. V.; Scheremet'ev, S. N.] Russian Acad Sci, Koniorov Bot Inst, St Petersburg 197376, Russia.
C3 Russian Academy of Sciences; Komarov Botanical Institute, Russian
   Academy of Sciences
RP Gamalei, YV (corresponding author), Russian Acad Sci, Koniorov Bot Inst, Prof Popov St 2, St Petersburg 197376, Russia.
EM gamalei@gmail.ru
RI Sheremetiev, Serge/K-4891-2013
OI Sheremetiev, Serge/0000-0002-0318-6766
CR [Anonymous], GEOL S AM S, DOI DOI 10.1130/0-8137-2361-2.329
   [Anonymous], 1983, NORD J BOT
   [Anonymous], 2002, Mem Fac Sci Kyoto Univ Ser Geol Mineral.
   [Anonymous], 1975, ECOLOGICAL STRATEGIE
   Bailey I. W., 1957, Journal of the Arnold Arboretum, V38, P243
   Batashev D. R., 2000, Botanicheskii Zhurnal (St. Petersburg), V85, P1
   Batashev D. R., 2006, Botanicheskii Zhurnal (St. Petersburg), V90, P1368
   BATASHEV DR, 1997, SRAVNITELNAYA ANATOM, P1
   Beerling D.J., 2001, Vegetation and the Terrestrial Carbon Cycle: Modelling the first 400 million years
   BEERLING DJ, 2002, ANN REV EARTH PLANET, V30, P537
   Bell WA, 1957, MEM GEOL SURV CAN, V293, P1
   Benton M.J., 1993, FOSS REC, V2, P845
   Berner RA, 2006, GEOCHIM COSMOCHIM AC, V70, P5653, DOI 10.1016/j.gca.2005.11.032
   Bredenkamp GJ, 2002, PLANT ECOL, V163, P209, DOI 10.1023/A:1020957807971
   Brown RW., 1962, US GEOLOGICAL SURVEY, V375, P1
   Carlquist S., 2001, COMP WOOD ANATOMY SY, DOI [10.1007/978-3-662-04578-7, DOI 10.1007/978-3-662-04578-7]
   Chandler MEJ, 1961, GEOLOGY, V5, P93
   Chandler MEJ., 1962, The Lower Tertiary floras of southern England. II. Flora of the Pipe-clay series of Dorset (Lower Bagshot), P1
   CHAVCHAVADZE, 2001, STRUKTURNYE OSOBENNO
   CHERNOV YI, 1983, ZH OBSHCH BIOL, V44, P187
   CHERNOV YI, 1988, ZOOL ZH, V67, P1445
   CHERNOV YI, 2004, VESTNIK RFFI, P5
   CHUMAKOV NM, 1997, PRIRODA, P66
   CRABTREE DR, 1987, ANN MO BOT GARD, V74, P707, DOI 10.2307/2399448
   Dietz H, 2002, ANN BOT-LONDON, V90, P663, DOI 10.1093/aob/mcf247
   EDELMAN DW, 1975, EOCENE GENNER BASIN
   FISHER AA, 1990, CUTIS, V46, P199
   FISHER DG, 1986, PLANTA, V169, P141, DOI 10.1007/BF00392308
   GAMALEI IV, 1984, DOKL AKAD NAUK SSSR+, V277, P1513
   GAMALEI Y, 1991, TREES-STRUCT FUNCT, V5, P50, DOI 10.1007/BF00225335
   Gamalei Yu. V., 1998, Fiziologiya Rastenii (Moscow), V45, P614
   Gamalei Yu. V., 1974, BOT ZH LENINGRAD, V59, P980
   Gamalei Y, 1989, TREES-STRUCT FUNCT, V3, P96, DOI 10.1007/BF01021073
   GAMALEI YV, 1994, PLANTA, V194, P443, DOI 10.1007/BF00714455
   GAMALEI YV, 1996, COMP BIOL TREES HERB, P85
   GAMALEI YV, 1985, FIZIOL RAST, V32, P866
   GAMALEI YV, 1983, BOT ZH, V68, P428
   GAMALEI YV, 2000, FIZIOL RAST, V47, P120
   GAMALEI YV, 1983, BOT ZH, V68, P287
   GAMALEY YUV, 2004, TRANSPORTNAYA SISTEM
   GAMALEY YUV, 1990, FLOEMA LISTA
   GAMALEY YV, 2005, BOT ZH, V90, P1454
   GAMALEY YV, 2000, SRAVNITELNAYA FLORIS, P350
   GAMALEY YV, 2007, FIZIOL RAST, V54, P5
   GAMALEY YV, 1992, BIOL RAZNOOBRAZIYE P, P181
   GAMALEY YV, 1984, BOT ZH, V69, P1159
   Gibbs MT, 1999, AM J SCI, V299, P611, DOI 10.2475/ajs.299.7-9.611
   GORNYI VI, 2001, DOKL AKAD NAUK, V378, P1
   GRADSTEIN FM, 2004, GEOLOTIC TIME SCALE
   GUNNING BES, 1968, J CELL BIOL, V37, pC7, DOI 10.1083/jcb.37.3.C7
   GUNNING BES, 1974, TRANSFER CELLS, P441
   HUANG Q.C., 1994, Geological Society of America Special Papers, V287, P129
   Kazda M, 2000, PLANT BIOLOGY, V2, P268, DOI 10.1055/s-2000-3701
   Lear CH, 2000, SCIENCE, V287, P269, DOI 10.1126/science.287.5451.269
   Metcalfe C.R., 1979, ANATOMY DICOTYLEDONS, V1, P276
   MEYEN SV, 1987, ZH OBSHCH BIOL, V48, P291
   Meyer H.W., 1997, U CALIFORNIA PUBLICA, V141, P1
   Miller KG, 2005, SCIENCE, V310, P1293, DOI 10.1126/science.1116412
   Mosbrugger V, 2005, P NATL ACAD SCI USA, V102, P14964, DOI 10.1073/pnas.0505267102
   MULLER J, 1981, BOT REV, V47, P1, DOI 10.1007/BF02860537
   Nikolaev SD, 1998, GLOBAL PLANET CHANGE, V18, P85, DOI 10.1016/S0921-8181(98)00009-5
   Olmstead RG, 2001, AM J BOT, V88, P348, DOI 10.2307/2657024
   PATE JS, 1969, PROTOPLASMA, V68, P135, DOI 10.1007/BF01247901
   RAZUMOVSKAYA AV, 2006, USTOYCHIVOST EKOSIST, V1, P179
   RAZUMOVSKAYA AV, 2000, SRAVNITELNAYA FLORIS, P375
   Royer DL, 2006, GEOCHIM COSMOCHIM AC, V70, P5665, DOI 10.1016/j.gca.2005.11.031
   Scotese C.R., 2003, Paleomap project
   Scott L, 1995, PALEOCLIMATE AND EVOLUTION, WITH EMPHASIS ON HUMAN ORIGINS, P65
   Spicer RA, 2002, PALAEOGEOGR PALAEOCL, V184, P65, DOI 10.1016/S0031-0182(02)00247-X
   Stepanova A. V., 2006, Botanicheskii Zhurnal (St. Petersburg), V90, P1378
   SYUTKINA AV, 2000, BOT ZH, V85, P54
   Tajika E, 1999, ISL ARC, V8, P293, DOI 10.1046/j.1440-1738.1999.00238.x
   TAKHTAJAN A., 1997, Diversity and classification of flowering plants
   TURGEON R, 1993, PLANTA, V191, P446, DOI 10.1007/BF00195746
   Turgeon R, 2001, AM J BOT, V88, P1331, DOI 10.2307/3558441
   Veizer J, 1999, CHEM GEOL, V161, P59, DOI 10.1016/S0009-2541(99)00081-9
   Wallmann K., 2004, GEOCHEM GEOPHY GEOSY, V5, P1
   Wilf P, 2000, GEOL SOC AM BULL, V112, P292, DOI 10.1130/0016-7606(2000)112<0292:LPEECC>2.3.CO;2
   Willis K.J., 2002, EVOLUTION PLANTS
   WING SL, 1995, PALAEOGEOGR PALAEOCL, V115, P117, DOI 10.1016/0031-0182(94)00109-L
   YATSENKOKHMELEV.AA, 1954, DREVESINY KAVKAZA
   Yurtsev BA, 2001, QUATERNARY SCI REV, V20, P165, DOI 10.1016/S0277-3791(00)00125-6
   Zachos J, 2001, SCIENCE, V292, P686, DOI 10.1126/science.1059412
   ZAVARZIN AA, 1986, TRUD PO TEOR PAR I
   [No title captured]
NR 85
TC 3
Z9 8
U1 0
U2 1
PU MEZHDUNARODNAYA KNIGA
PI MOSCOW
PA 39 DIMITROVA UL., MOSCOW, 113095, RUSSIA
SN 0044-4596
J9 ZH OBSHCH BIOL
JI Zhurnal Obshchei Biol.
PD MAY-JUN
PY 2008
VL 69
IS 3
BP 220
EP 237
PG 18
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA 316KX
UT WOS:000256949500005
PM 18677965
DA 2025-01-10
ER

PT J
AU Olsen, K
   Reynolds, KT
   Hoffmann, AA
AF Olsen, K
   Reynolds, KT
   Hoffmann, AA
TI A field cage test of the effects of the endosymbiont <i>Wolbachia</i> on
   <i>Drosophila melanogaster</i>
SO HEREDITY
LA English
DT Article
DE Drosophila; field fitness; maternal transmission; symbiont; Wolbachia
ID CYTOPLASMIC INCOMPATIBILITY; POPULATIONS; INFECTION; DYNAMICS; AGE;
   MORTALITY; SELECTION; PATTERNS; SIMULANS
AB Wolbachia endosymbionts are known to affect the fitness of their hosts, but most of this information is from laboratory studies. In Drosophila melanogaster, Wolbachia frequencies vary clinally in frequency in Australia and may confound climatic adaptation. Here we use field cages in a reciprocal exchange design to test for Wolbachia effects in D. melanogaster in winter at temperate and tropical sites. Infected flies of both populations had a lower fecundity in tropical north Queensland, whilst in temperate southern Victoria Wolbachia effects depended on the nuclear population background. Here infected flies from Victoria were more fecund. Wolbachia also influenced larval/pupal viability in the tropics but this was dependent on population background. In comparisons of the populations, there was no evidence for local adaptation for total fecundity, viability or survival over winter. However, in Victoria, a local population had a higher late-life fecundity than a tropical population from Queensland that had higher early-life fecundity. At a tropical site, local Queensland flies had a higher early fecundity than Victorian flies. In contrast to many laboratory studies, mortality rates in the field cages increased only slightly over time. Both the Wolbachia effects and population differences have not been previously detected in laboratory studies with D. melanogaster and highlight the utility of Drosophila field studies in fitness experiments.
C1 La Trobe Univ, Ctr Environm Stress & Adaptat Res, Bundoora, Vic 3083, Australia.
C3 La Trobe University
RP Hoffmann, AA (corresponding author), La Trobe Univ, Ctr Environm Stress & Adaptat Res, Bundoora, Vic 3083, Australia.
RI Hoffmann, Ary/C-2961-2011
OI Hoffmann, Ary/0000-0001-9497-7645
CR BOULETREAUMERLE J, 1992, EVOL ECOL, V6, P223, DOI 10.1007/BF02214163
   Bourtzis K, 1996, GENETICS, V144, P1063
   FUKUI HH, 1993, EXP GERONTOL, V28, P585, DOI 10.1016/0531-5565(93)90048-I
   GIORDANO R, 1995, GENETICS, V140, P1307
   HOFFMANN AA, 1994, GENETICS, V136, P993
   Hoffmann AA, 1998, GENETICS, V148, P221
   HOFFMANN AA, 1990, GENETICS, V126, P933
   Hoffmann AA, 1999, HEREDITY, V83, P637, DOI 10.1038/sj.hdy.6886490
   HOFFMANN AA, 1997, INFLUENTIAL PASSENGE, P3
   IZQUIERDO JI, 1991, ENTOMOL EXP APPL, V59, P51, DOI 10.1007/BF00187965
   Jeyaprakash A, 2000, INSECT MOL BIOL, V9, P393, DOI 10.1046/j.1365-2583.2000.00203.x
   Johanowicz DL, 1999, ENTOMOL EXP APPL, V93, P259, DOI 10.1023/A:1003846200146
   ONEILL SL, 1992, P NATL ACAD SCI USA, V89, P2699, DOI 10.1073/pnas.89.7.2699
   Partridge L, 1999, P ROY SOC B-BIOL SCI, V266, P255, DOI 10.1098/rspb.1999.0630
   PerrotMinnot MJ, 1996, GENETICS, V143, P961
   Poinsot D, 1997, EVOLUTION, V51, P180, DOI 10.1111/j.1558-5646.1997.tb02399.x
   Promislow DEL, 1996, GENETICS, V143, P839
   ROSE MR, 1981, GENETICS, V97, P187
   Schoenmaker A, 1998, OIKOS, V81, P587, DOI 10.2307/3546779
   TURELLI M, 1995, GENETICS, V140, P1319
   VOELKER RA, 1991, MOL CELL BIOL, V11, P894, DOI 10.1128/MCB.11.2.894
   Werren JH, 1997, ANNU REV ENTOMOL, V42, P587, DOI 10.1146/annurev.ento.42.1.587
NR 22
TC 63
Z9 69
U1 1
U2 18
PU BLACKWELL SCIENCE LTD
PI OXFORD
PA P O BOX 88, OSNEY MEAD, OXFORD OX2 0NE, OXON, ENGLAND
SN 0018-067X
J9 HEREDITY
JI Heredity
PD JUN
PY 2001
VL 86
BP 731
EP 737
DI 10.1046/j.1365-2540.2001.00892.x
PN 6
PG 7
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA 478WD
UT WOS:000171370300010
PM 11595053
OA Bronze
DA 2025-01-10
ER

PT J
AU Kim, H
   Woosnam, KM
   Marcouiller, DW
   Kim, H
AF Kim, Hyun
   Woosnam, Kyle Maurice
   Marcouiller, David W.
   Kim, Hyewon
TI Seeking anticipatory adaptation: adaptive capacity and resilience to
   flood risk
SO ENVIRONMENTAL HAZARDS-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Climate risks; economic impulse and response; spatial and temporal
   differentials; vulnerability
ID EXPOSURE; NETWORKS; HAZARDS
AB Adaptation to climate risks involves complementarities between vulnerability, adaptive capacity, and resilience. In this study focused on anticipatory adaptation as social dynamics and social construction, we assess county-level adaptive capacity and resilience to inland flood risks. This is done through the application of temporal models, spatial differentials of risk, and economic impulse-response dynamics in the US Upper Midwest over the last 20 years. Empirical results for anticipatory adaptation suggest that social capital attributes and a variety of mitigation measures play a critical role in alleviating flood risks. In addition, counties with higher levels of adaptive capacity rebound more quickly from sudden climate-induced events. Effective and proactive local adaptation planning and policy combined with a region-wide understanding of anticipatory adaptation and temporal matches, spatial differentials, and impulse-response dynamics can help minimise disaster loss and make disaster-prone communities more resilient to future events.
C1 [Kim, Hyun; Kim, Hyewon] Chungnam Natl Univ, Coll Social Sci, 99 Daehak Ro, Daejeon 34134, South Korea.
   [Woosnam, Kyle Maurice] Univ Johannesburg, Sch Tourism & Hospitality Management, Auckland Pk, South Africa.
   [Marcouiller, David W.] Univ Wisconsin, Madison, WI USA.
C3 Chungnam National University; University of Johannesburg; University of
   Wisconsin System; University of Wisconsin Madison
RP Kim, H (corresponding author), Chungnam Natl Univ, Coll Social Sci, 99 Daehak Ro, Daejeon 34134, South Korea.
EM hkim9129@gmail.com
FU Ministry of Education of the Republic of Korea; National Research
   Foundation of Korea [NRF-2020S1A5A2A03043565]
FX This work was supported by the Ministry of Education of the Republic of
   Korea and the National Research Foundation of Korea
   (NRF-2020S1A5A2A03043565).
CR Adamson GCD, 2018, GLOBAL ENVIRON CHANG, V48, P195, DOI 10.1016/j.gloenvcha.2017.12.003
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2003, ECON GEOGR, V79, P387
   AKSHA SK, 2018, ENVIRON HAZARDS-UK, V17
   Amisano Giannl., 1997, TOPICS STRUCTURAL VA
   Amoako C, 2018, GEOJOURNAL, V83, P949, DOI 10.1007/s10708-017-9807-6
   Araos M, 2017, J ENVIRON POL PLAN, V19, P682, DOI 10.1080/1523908X.2016.1264873
   Begg C, 2015, ENVIRON PLANN C, V33, P685, DOI 10.1068/c12216
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Berke P, 2015, J AM PLANN ASSOC, V81, P287, DOI 10.1080/01944363.2015.1093954
   Berkes F., 2013, Society and Natural Resources, V26
   Blythe JL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06408-190206
   Brody SD, 2012, ECOL INDIC, V18, P493, DOI 10.1016/j.ecolind.2012.01.004
   Brooks N., 2005, ADAPTATION POLICY FR, P165
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Bunce M, 2010, ENVIRON SCI POLICY, V13, P485, DOI 10.1016/j.envsci.2010.06.003
   Choi C, 2016, INT J URBAN SCI, V20, P188
   Nguyen CV, 2017, CLIMATIC CHANGE, V143, P355, DOI 10.1007/s10584-017-2012-2
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Davino C, 2014, WILEY SER PROBAB ST, P1
   Djalante R, 2011, INT J DISAST RISK SC, V2, P1, DOI 10.1007/s13753-011-0015-6
   Eakin H, 2015, APPLIED STUDIES IN CLIMATE ADAPTATION, P227
   Eakin H, 2010, GLOBAL ENVIRON CHANG, V20, P1, DOI 10.1016/j.gloenvcha.2009.08.002
   Ebi K.L., 2005, ADAPTATION POLICY FR
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Ensor JE, 2015, GLOBAL ENVIRON CHANG, V31, P38, DOI 10.1016/j.gloenvcha.2014.12.005
   Eriksen C, 2017, ENVIRON PLANN A, V49, P293, DOI 10.1177/0308518X16669511
   ERIKSEN SH, 2015, GLOBAL ENVIRON CHANG, V35
   Fidelman P, 2017, ENVIRON SCI POLICY, V76, P103, DOI 10.1016/j.envsci.2017.06.018
   Frick-Trzebitzky F, 2019, J ENVIRON POL PLAN, V21, P577, DOI 10.1080/1523908X.2017.1343136
   Fuerth LS, 2009, FORESIGHT, V11, P14, DOI 10.1108/14636680910982412
   GALLOPIN GC, 2006, GLOBAL ENVIRON CHANG, V16
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hummel MA, 2018, REG ENVIRON CHANGE, V18, P1343, DOI 10.1007/s10113-017-1267-5
   Jones L, 2019, CLIM DEV, V11, P3, DOI 10.1080/17565529.2017.1374237
   KIM H, 2018, ENVIRON HAZARDS-UK, V17
   Kim H, 2018, GEOFORUM, V96, P129, DOI 10.1016/j.geoforum.2018.08.006
   Klein R.J., 2003, Global environmental change part B: environmental hazards, V5, DOI https://doi.org/10.1016/j.hazards.2004.02.001
   Leykin D, 2016, INT J DISAST RISK RE, V15, P125, DOI 10.1016/j.ijdrr.2016.01.008
   LI M, 2017, GLOBAL ENVIRON CHANG, V47
   LU Y, 2018, ENVIRON HAZARDS-UK, V17
   Miles ScottB., 2015, Environmental Hazards, V14
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Murphy DJ, 2017, LANDSCAPE URBAN PLAN, V167, P441, DOI 10.1016/j.landurbplan.2017.07.016
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   PATERSON SK, 2017, GEOFORUM J PHYS HUMA, V81
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Posey J, 2009, GLOBAL ENVIRON CHANG, V19, P482, DOI 10.1016/j.gloenvcha.2009.06.003
   QIN W, 2017, NAT HAZARDS, V89
   Smit B., 2006, Global environmental change, V16
   Sutter D, 2010, NAT HAZARDS, V53, P125, DOI 10.1007/s11069-009-9416-x
   THALER T, 2016, REG ENVIRON CHANGE, V16
   Thaler T, 2016, ENVIRON SCI POLICY, V55, P292, DOI 10.1016/j.envsci.2015.04.007
   Tierney Kathleen., 2014, SOCIAL ROOTS RISK PR
   Tschakert P, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.476
   TSELIOS V, 2017, ENVIRON HAZARDS-UK, V16
   Turner B.L., 2003, Proceedings of the National Academy of Sciences of the United States of America, V100
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   van Wesenbeeck BK, 2017, MITIG ADAPT STRAT GL, V22, P1087, DOI 10.1007/s11027-016-9714-z
   Wagner M, 2014, APPL GEOGR, V50, P15, DOI 10.1016/j.apgeog.2014.01.009
   Ward PJ, 2017, NAT CLIM CHANGE, V7, P642, DOI [10.1038/nclimate3350, 10.1038/NCLIMATE3350]
   Watson R, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, pIX
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Worthington A, 2004, APPL ECON, V36, P2177, DOI 10.1080/0003684042000282489
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   2010, SPRINGER SER ENV MAN, P1
NR 68
TC 4
Z9 4
U1 4
U2 25
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1747-7891
EI 1878-0059
J9 ENVIRON HAZARDS-UK
JI Environ. Hazards
PD JAN 1
PY 2022
VL 21
IS 1
BP 36
EP 57
DI 10.1080/17477891.2021.1902783
EA MAR 2021
PG 22
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 0H0DH
UT WOS:000632814100001
DA 2025-01-10
ER

PT J
AU Sherren, K
   Loik, L
   Debner, JA
AF Sherren, Kate
   Loik, Logan
   Debner, James A.
TI Climate adaptation in 'new world' cultural landscapes: The case of Bay
   of Fundy agricultural dykelands (Nova Scotia, Canada)
SO LAND USE POLICY
LA English
DT Article
DE Agricultural marshlands; Climate change; Coastal wetland restoration;
   Managed realignment; Multifunctional landscape; Public discourse; Q
   methodology
ID APPLYING Q-METHODOLOGY; ECOSYSTEM SERVICES; PLACE ATTACHMENT; SOCIAL
   VALUES; WETLANDS; LAND; VULNERABILITY; RESTORATION; PERCEPTIONS;
   GOVERNANCE
AB North America has few cultural agricultural landscapes, and often commensurately poor governance arrangements for managing change in such settings. This research uses the Acadian dykelands of Nova Scotia, Canada, as an opportunity to explore the social and governance limits to coastal climate adaptation in 'new world' cultural agricultural landscapes, as well as inform local decision-making. Approximately half of Nova Scotia's coastal wetlands were converted to dykeland in the 1600s, lowering local resilience to the increased frequency and storm severity anticipated with climate change. Today, dykelands protect a diversity of public and private interests, meanings and values, yet are controlled by the agricultural sector, which can no longer afford to maintain them all to 2050 climate projections. We report here on a representative online Q-methodology survey of 183 adult Nova Scotians in the spring of 2015. Respondents sorted 34 statements along a normal distribution about whether they prefer dykeland maintenance or wetland restoration, and under what governance arrangements. Four factors were derived: the dominant discourse was local, female and strongly pro-dykeland, indicating the likelihood for local resistance to dykeland removal on for cultural, recreational and farming reasons. The second factor was supportive of wetland restoration for reasons of efficiency, not wetland affinity, but characterized by those in positions of management power. The two minority viewpoints were less informed about dykelands, characteristic of outsiders, and concerned more with governance. More education is needed about the challenges facing dykelands, the benefits of coastal wetlands, and the management options, but this research shows proposals to change landscape should emphasize flood mitigation over cost-saving. Cultural values and status quo bias are clearly barriers to adaptation planning, even when discussing the removal of man-made structures. The factors were surprisingly polarized, suggesting the forced-normal distribution affects the space available to convey nuanced perspectives. Large p-set Q-method of this kind is likely most useful for characterizing the emergent discourses demographically, and understanding their prevalence; the same discourses had emerged within a much smaller pilot study. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Sherren, Kate; Loik, Logan] Dalhousie Univ, Sch Resource & Environm Studies, Suite 5010,6100 Univ Ave, Halifax, NS B3H 4R2, Canada.
   [Debner, James A.] Corp Res Associates, Suite 5001,7071 Bayers Rd, Halifax, NS B3L 2C2, Canada.
C3 Dalhousie University
RP Sherren, K (corresponding author), Dalhousie Univ, Sch Resource & Environm Studies, Suite 5010,6100 Univ Ave, Halifax, NS B3H 4R2, Canada.
EM kate.sherren@dal.ca
OI Sherren, Kate/0000-0003-1576-9878
FU Dalhousie University Research Ethics Board [2014-3319]; Canadian Social
   Sciences and Humanities Research Council [430-2012-0641]
FX The Dalhousie University Research Ethics Board approved both the pilot
   project (2014-3319) and the online panel (2015-3489). The authors would
   like to acknowledge funding from the Canadian Social Sciences and
   Humanities Research Council Funding430-2012-0641 (Sherren PI). Thanks
   also to Kevin Bekkers, Nova Scotia Department of Agriculture Land
   Protection Division for contacts and insights, Kate Goodale for
   assistance with the second ethics application, and Christina Waddy from
   Corporate Research Associates for liaising with programmers, sample
   stratification and survey implementation. Final thanks to John Parkins,
   Matt Dairon, Susan Haydt, and two anonymous reviewers, who gave useful
   feedback on earlier drafts.
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1, DOI 10.1017/CBO9780511596667.002
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Alexander K, 2011, J ENVIRON PLANN MAN, V55, P409
   [Anonymous], PRES AGR LAND NOV SC
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], IBM SPSS Statistics for windows-version 20.0
   Antrop M, 2005, LANDSCAPE URBAN PLAN, V70, P21, DOI 10.1016/j.landurbplan.2003.10.002
   Armatas CA, 2014, ECOL ECON, V107, P447, DOI 10.1016/j.ecolecon.2014.09.010
   Asiedu G., 2013, THESIS DALHOUSIE U H
   Barbier EB, 2007, ECON POLICY, P178, DOI 10.1111/j.1468-0327.2007.00174.x
   Bauer A, 2014, GEOFORUM, V51, P121, DOI 10.1016/j.geoforum.2013.10.006
   Beaumont LJ, 2011, P NATL ACAD SCI USA, V108, P2306, DOI 10.1073/pnas.1007217108
   Beilin R, 2015, SUSTAIN SCI, V10, P195, DOI 10.1007/s11625-015-0289-5
   Beilin R, 2014, LAND USE POLICY, V36, P60, DOI 10.1016/j.landusepol.2013.07.003
   Bleakney J.Sherman., 2004, Sods, Soil, and Spades: The Acadians at Grand Pre and Their Dykeland Legacy
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Bouzillé JB, 2001, J VEG SCI, V12, P269, DOI 10.2307/3236611
   Bowron T.M., 2012, Tidal Marsh Restoration, P191, DOI [DOI 10.5822/978-1-61091-229-713, 10.5822/978-1-61091-229-7_13, DOI 10.5822/978-1-61091-229-7_13, DOI 10.5822/978-1-61091-229-7]
   Boyd J., 2002, AM J AGR EC, V84
   Burch S, 2010, J FLOOD RISK MANAG, V3, P126, DOI 10.1111/j.1753-318X.2010.01062.x
   Butzer KW, 2002, ANN ASSOC AM GEOGR, V92, P451, DOI 10.1111/1467-8306.00299
   Callegaro M, 2008, PUBLIC OPIN QUART, V72, P1008, DOI 10.1093/poq/nfn065
   Clare S, 2013, GEOFORUM, V49, P40, DOI 10.1016/j.geoforum.2013.05.007
   Climate Change Nova Scotia, 2005, AD CHANG CLIM NOV SC
   Curry R, 2013, J ENVIRON PLANN MAN, V56, P624, DOI 10.1080/09640568.2012.693453
   Dairon M.R., 2015, RURAL SOCIOLOGY
   Danielson S, 2009, FIELD METHOD, V21, P219, DOI 10.1177/1525822X09332082
   Davis CharlesH., 2011, Participations: Journal of Audience and Reception Studies, V8, P559
   de Groot R, 2012, ECOSYST SERV, V1, P50, DOI 10.1016/j.ecoser.2012.07.005
   Devine-Wright P, 2009, J COMMUNITY APPL SOC, V19, P426, DOI 10.1002/casp.1004
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Erwin KL, 2009, WETL ECOL MANAG, V17, P71, DOI 10.1007/s11273-008-9119-1
   Euliss NH, 2006, SCI TOTAL ENVIRON, V361, P179, DOI 10.1016/j.scitotenv.2005.06.007
   Fazey I, 2010, FRONT ECOL ENVIRON, V8, P414, DOI 10.1890/080215
   Ferguson S.D., 2000, RES PUBLIC OPINION E
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Frantzi S, 2009, J ENVIRON MANAGE, V90, P177, DOI 10.1016/j.jenvman.2007.08.013
   Government of Nova Scotia, 2000, AGR MARSHL CONS ACT
   Graham S, 2013, ENVIRON IMPACT ASSES, V41, P45, DOI 10.1016/j.eiar.2013.02.002
   Grand Pre World Heritage Stewardship Board, 2011, WORLD HER NOM PROP L
   Hahn T, 2006, HUM ECOL, V34, P573, DOI 10.1007/s10745-006-9035-z
   Harman BP, 2015, J COASTAL RES, V31, P790, DOI 10.2112/JCOASTRES-D-13-00095.1
   Hobson K, 2011, GLOBAL ENVIRON CHANG, V21, P957, DOI 10.1016/j.gloenvcha.2011.05.001
   Hughes L, 2003, AUSTRAL ECOL, V28, P423, DOI 10.1046/j.1442-9993.2003.01300.x
   Ives CD, 2014, J ENVIRON MANAGE, V144, P67, DOI 10.1016/j.jenvman.2014.05.013
   Jongman B, 2012, GLOBAL ENVIRON CHANG, V22, P823, DOI 10.1016/j.gloenvcha.2012.07.004
   Lambrou Y., 2006, Gender: The missing component of the response to climate change
   Lieske D.J., 2015, CLIMATE CHANGE ADAPT
   Lieske DJ, 2015, ENVIRON MODELL SOFTW, V68, P98, DOI 10.1016/j.envsoft.2015.02.005
   Luisetti T, 2011, OCEAN COAST MANAGE, V54, P212, DOI 10.1016/j.ocecoaman.2010.11.003
   MacDonald GK, 2010, ESTUAR COAST, V33, P151, DOI 10.1007/s12237-009-9222-4
   Manuel PM, 2003, WETLANDS, V23, P921, DOI 10.1672/0277-5212(2003)023[0921:CPOSUW]2.0.CO;2
   MEA M.E. A., 2005, ECOSYSTEMS HUMAN WEL
   Milcu AI, 2014, LAND USE POLICY, V41, P408, DOI 10.1016/j.landusepol.2014.06.019
   Mitsch WJ, 2013, LANDSCAPE ECOL, V28, P583, DOI 10.1007/s10980-012-9758-8
   Monbiot G., 2014, Feral: Rewilding the land, sea, and human life
   Morris J., 2014, J FLOOD RISK MANAGE
   Nicholls RJ, 2004, GLOBAL ENVIRON CHANG, V14, P69, DOI 10.1016/j.gloenvcha.2003.10.007
   Nijnik M, 2009, LAND USE POLICY, V26, P77, DOI 10.1016/j.landusepol.2008.03.001
   Nova Scotia Department of Agriculture and Marketing (NSDAM), 2010, LAND PROT SECT
   Nova Scotia Department of Natural Resources (NSDNR), 2009, FUND DYK WILDL
   Nova Scotia Environment, 2013, HIST WETL LOSS NOV S
   O'Brien KL, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P164
   Oosterberg W., 2004, 1 INT EXP M URB FLOO, P49
   Plieninger T, 2015, CURR OPIN ENV SUST, V14, P28, DOI 10.1016/j.cosust.2015.02.006
   Ramsar Convention on Wetlands, 2010, CAR WETL ANSW CLIM C
   Richards W., 2011, Scenarios and Guidance for Adaptation to Climate Change and Sea Level Rise - NS and PEI Municipalities
   Roca E, 2012, OCEAN COAST MANAGE, V60, P38, DOI 10.1016/j.ocecoaman.2012.01.002
   Scannell L, 2013, ENVIRON BEHAV, V45, P60, DOI 10.1177/0013916511421196
   Scherr S.J., 2012, Agriculture Food Security, V1, P1
   SCHMOLCK P, 2013, PQMETHOD VERSION 2 3
   Singh K., 2007, ENV J INTERDISCIP ST, V35
   Small C, 2003, J COASTAL RES, V19, P584
   Spalding MD, 2014, CONSERV LETT, V7, P293, DOI 10.1111/conl.12074
   Stanton J.M., 2002, 13001 SYR U SCH INF, P13001
   Statistics Canada, 2011, TABL 202 0102 AV FEM
   Thompson AW, 2013, FIELD METHOD, V25, P25, DOI 10.1177/1525822X12453516
   Tibbetts JR, 2013, J COAST CONSERV, V17, P775, DOI 10.1007/s11852-013-0277-9
   TOBIN GA, 1995, WATER RESOUR BULL, V31, P359, DOI 10.1111/j.1752-1688.1995.tb04025.x
   Van Proosdij D., 2012, BEST MANAGEMENT PRAC, P149
   Verhoeve A, 2015, LAND USE POLICY, V42, P547, DOI 10.1016/j.landusepol.2014.09.008
   Watts S., 2012, Qual Res Psychol, V2, P67, DOI [DOI 10.1080/14780887.2011.595017, 10.1191/1478088705qp022oa, DOI 10.1191/1478088705QP022OA]
   Watts S., 2012, Doing Q methodological research
   Wolters M, 2005, BIOL CONSERV, V123, P249, DOI 10.1016/j.biocon.2004.11.013
NR 85
TC 33
Z9 35
U1 1
U2 59
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 FEB
PY 2016
VL 51
BP 267
EP 280
DI 10.1016/j.landusepol.2015.11.018
PG 14
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DC9QI
UT WOS:000369555700025
DA 2025-01-10
ER

PT J
AU Odériz, I
   Silva, R
   Mortlock, TR
   Mori, N
   Shimura, T
   Webb, A
   Padilla-Hernández, R
   Villers, S
AF Oderiz, I
   Silva, R.
   Mortlock, T. R.
   Mori, N.
   Shimura, T.
   Webb, A.
   Padilla-Hernandez, R.
   Villers, S.
TI Natural Variability and Warming Signals in Global Ocean Wave Climates
SO GEOPHYSICAL RESEARCH LETTERS
LA English
DT Article
DE ENSO; global warming; natural variability; PDO; SAM; wave climate
ID SOUTHERN ANNULAR MODE; WIND-SPEED; ALEUTIAN LOW; PACIFIC; IMPACTS;
   TRENDS; ENSO; POWER; TELECONNECTION; PROJECTIONS
AB This paper presents a multivariate classification of the global wave climate into types driven by atmospheric circulation patterns. The primary source of the net long-term variability is evaluated based on historical wave simulations. Results show that the monsoon, extratropical, subtropical, and polar wave climate types of the Pacific and North Atlantic Oceans are dominated by natural variability, whereas the extratropical and subtropical wave climate types in the Indian Ocean, and the tropical wave climate types of the Atlantic and Pacific Oceans exhibit a global warming signal. In the Pacific sector of the Southern Ocean, strong natural variability may mask a global warming signal that is yet to emerge as being statistically significant. In addition, wave climate teleconnections were found across the world that can provide a framework for joint strategies to achieve the goals of climate adaption for resilient coastal communities and environments.
C1 [Oderiz, I; Silva, R.] Univ Nacl Autonoma Mexico, Inst Ingn, Mexico City, DF, Mexico.
   [Mortlock, T. R.] Risk Frontiers, St Leonards, NSW, Australia.
   [Mortlock, T. R.] Macquarie Univ, Dept Earth & Environm Sci, N Ryde, NSW, Australia.
   [Mori, N.; Shimura, T.; Webb, A.] Kyoto Univ, Disaster Prevent Res Inst, Kyoto, Japan.
   [Padilla-Hernandez, R.] Natl Ocean & Atmospher Adm NOAA, IMSG, Greenbelt, MD USA.
   [Villers, S.] Univ Nacl Autonoma Mexico, Fac Ciencias, Mexico City, DF, Mexico.
C3 Universidad Nacional Autonoma de Mexico; Macquarie University; Kyoto
   University; National Oceanic Atmospheric Admin (NOAA) - USA; Universidad
   Nacional Autonoma de Mexico
RP Odériz, I (corresponding author), Univ Nacl Autonoma Mexico, Inst Ingn, Mexico City, DF, Mexico.
EM itxaso.oderiz@gmail.com
RI Webb, Adrean/AAL-4408-2020; Mori, Nobuhito/B-8627-2008
OI Webb, Adrean/0000-0002-0677-3560; Mortlock, Thomas/0000-0002-5018-1976;
   Shimura, Tomoya/0000-0001-8284-0668; Oderiz, Itxaso/0000-0002-6338-1141;
   Mori, Nobuhito/0000-0001-9082-3235
FU Fondo CONACYT-SENER/Sustentabilidad Energetica through the Centro
   Mexicano de Inovacion en Energias del Oceano (CEMIE-Oceano) [249795];
   DPRI research funds; JSPS KAKENHI; Integrated Research Program for
   Advancing Climate Models (TOUGOU Program) - MEXT of Japan
   [JPMXD0717935498]
FX This work was financed by Fondo CONACYT-SENER/Sustentabilidad Energetica
   through the Centro Mexicano de Inovacion en Energias del Oceano
   (CEMIE-Oceano), grant number 249795; and DPRI research funds, JSPS
   KAKENHI and Integrated Research Program for Advancing Climate Models
   (TOUGOU Program: JPMXD0717935498) supported by MEXT of Japan. The
   authors want to thank David K. Adams and Stipo Sentic for discussions at
   the initial stages of this research.
CR Alves JHGM, 2006, OCEAN MODEL, V11, P98, DOI 10.1016/j.ocemod.2004.11.007
   Anoop TR, 2015, J ATMOS OCEAN TECH, V32, P1372, DOI 10.1175/JTECH-D-14-00212.1
   Arblaster JM, 2006, J CLIMATE, V19, P2896, DOI 10.1175/JCLI3774.1
   Barnard PL, 2015, NAT GEOSCI, V8, P801, DOI [10.1038/NGEO2539, 10.1038/ngeo2539]
   Bell GD, 2006, J CLIMATE, V19, P590, DOI 10.1175/JCLI3659.1
   Berkhin P, 2006, GROUPING MULTIDIMENSIONAL DATA: RECENT ADVANCES IN CLUSTERING, P25
   Bonsal BR, 2001, INT J CLIMATOL, V21, P95, DOI 10.1002/joc.590
   Broccoli AJ, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL024546
   Bromirski PD, 2013, J GEOPHYS RES-OCEANS, V118, P6329, DOI 10.1002/2013JC009189
   Cai WJ, 2015, NAT CLIM CHANGE, V5, P849, DOI [10.1038/NCLIMATE2743, 10.1038/nclimate2743]
   Clem KR, 2020, NAT CLIM CHANGE, V10, P762, DOI 10.1038/s41558-020-0815-z
   Delpey MT, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC005885
   Deser C, 2012, NAT CLIM CHANGE, V2, P775, DOI 10.1038/NCLIMATE1562
   Dodet G, 2010, OCEAN MODEL, V31, P120, DOI 10.1016/j.ocemod.2009.10.010
   Duarte CM, 2020, NATURE, V580, P39, DOI 10.1038/s41586-020-2146-7
   Echevarria ER, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2020JC016354
   Echevarria ER, 2019, J GEOPHYS RES-OCEANS, V124, P2924, DOI 10.1029/2018JC014620
   England MH, 2014, NAT CLIM CHANGE, V4, P222, DOI [10.1038/nclimate2106, 10.1038/NCLIMATE2106]
   Erftemeijer PLA, 2012, MAR POLLUT BULL, V64, P1737, DOI 10.1016/j.marpolbul.2012.05.008
   Fairley I, 2020, APPL ENERG, V262, DOI 10.1016/j.apenergy.2020.114515
   Fraser CI, 2018, NAT CLIM CHANGE, V8, P704, DOI 10.1038/s41558-018-0209-7
   Godoi VA, 2020, CLIM DYNAM, V54, P3991, DOI 10.1007/s00382-020-05217-2
   Godwyn-Paulson P, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-020-08469-x
   Guenther H., 1992, WAM MODEL CYCLE 4
   Hanson JL, 2001, J ATMOS OCEAN TECH, V18, P277, DOI 10.1175/1520-0426(2001)018<0277:AAOOSD>2.0.CO;2
   Hemer MA, 2013, OCEAN MODEL, V70, P221, DOI 10.1016/j.ocemod.2012.09.008
   Hemer MA, 2013, NAT CLIM CHANGE, V3, P471, DOI [10.1038/nclimate1791, 10.1038/NCLIMATE1791]
   Hemer MA, 2010, INT J CLIMATOL, V30, P475, DOI 10.1002/joc.1900
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   HIRSCH RM, 1982, WATER RESOUR RES, V18, P107, DOI 10.1029/WR018i001p00107
   Huizer S, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-48382-z
   Izaguirre C, 2021, NAT CLIM CHANGE, V11, P14, DOI 10.1038/s41558-020-00937-z
   Izaguirre C, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL047302
   Jiang HY, 2020, J CLIMATE, V33, P3381, DOI 10.1175/JCLI-D-19-0729.1
   Jiang HY, 2019, J ATMOS OCEAN TECH, V36, P1933, DOI 10.1175/JTECH-D-18-0228.1
   Kendall M. G., 1948, Rank correlation methods.
   Ketchen DJ, 1996, STRATEGIC MANAGE J, V17, P441, DOI 10.1002/(SICI)1097-0266(199606)17:6<441::AID-SMJ819>3.0.CO;2-G
   Kirezci E, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67736-6
   Kumar VS, 2012, J EARTH SYST SCI, V121, P393, DOI 10.1007/s12040-012-0160-3
   Li F, 2015, CLIM DYNAM, V44, P1245, DOI 10.1007/s00382-014-2134-4
   Li XM, 2016, GEOPHYS RES LETT, V43, P5202, DOI 10.1002/2016GL068702
   Lim EP, 2016, GEOPHYS RES LETT, V43, P7160, DOI 10.1002/2016GL069453
   Liu QX, 2016, J CLIMATE, V29, P7957, DOI 10.1175/JCLI-D-16-0219.1
   Lobeto H, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-86524-4
   Luijendijk A, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24630-6
   MacQueen J., 1967, P 5 BERK S MATH STAT, V1, P281
   Marshall AG, 2018, OCEAN MODEL, V129, P58, DOI 10.1016/j.ocemod.2018.07.007
   Melet A, 2018, NAT CLIM CHANGE, V8, P234, DOI 10.1038/s41558-018-0088-y
   Meucci A, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz7295
   Morim J, 2019, NAT CLIM CHANGE, V9, P711, DOI 10.1038/s41558-019-0542-5
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Newman M, 2003, J CLIMATE, V16, P3853, DOI 10.1175/1520-0442(2003)016<3853:EVOTPD>2.0.CO;2
   Odériz I, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2020JC016464
   Odériz I, 2020, OCEAN DYNAM, V70, P1253, DOI 10.1007/s10236-020-01387-z
   Odériz I, 2020, J COASTAL RES, P128, DOI 10.2112/SI95-025.1
   Pickart RS, 2009, J PHYS OCEANOGR, V39, P1317, DOI 10.1175/2008JPO3891.1
   Ranasinghe R, 2016, EARTH-SCI REV, V160, P320, DOI 10.1016/j.earscirev.2016.07.011
   Reguero BG, 2015, APPL ENERG, V148, P366, DOI 10.1016/j.apenergy.2015.03.114
   Reguero BG, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08066-0
   REITER ER, 1978, J ATMOS SCI, V35, P349, DOI 10.1175/1520-0469(1978)035<0349:TIVOTO>2.0.CO;2
   Ribal A, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0083-9
   Saha Suranjana, 2011, CISL RDA
   Saha Suranjana, 2010, CISL RDA
   Semedo A, 2011, J CLIMATE, V24, P1461, DOI 10.1175/2010JCLI3718.1
   Shimura T, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL089296
   Shimura T, 2019, COAST ENG, V151, P1, DOI 10.1016/j.coastaleng.2019.04.013
   Shimura T, 2013, J CLIMATE, V26, P8654, DOI 10.1175/JCLI-D-12-00397.1
   Stopa JE, 2014, J GEOPHYS RES-OCEANS, V119, P5563, DOI 10.1002/2013JC009729
   Tebaldi C, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049863
   Toimil A, 2020, EARTH-SCI REV, V202, DOI 10.1016/j.earscirev.2020.103110
   Wang B, 2000, J CLIMATE, V13, P1517, DOI 10.1175/1520-0442(2000)013<1517:PEATHD>2.0.CO;2
   Wang GJ, 2013, SCI REP-UK, V3, DOI 10.1038/srep02039
   Wang HJ, 2012, CHINESE SCI BULL, V57, P3535, DOI 10.1007/s11434-012-5285-x
   Wang L, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035287
   Webb A, 2011, OCEAN MODEL, V40, P273, DOI 10.1016/j.ocemod.2011.08.007
   Wernberg T, 2016, SCIENCE, V353, P169, DOI 10.1126/science.aad8745
   Yang S, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-62138-0
   Young IR, 2011, SCIENCE, V332, P451, DOI 10.1126/science.1197219
   Young IR, 2019, SCIENCE, V364, P548, DOI 10.1126/science.aav9527
   Zhang RH, 1996, J METEOROL SOC JPN, V74, P49, DOI 10.2151/jmsj1965.74.1_49
NR 80
TC 26
Z9 26
U1 3
U2 38
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0094-8276
EI 1944-8007
J9 GEOPHYS RES LETT
JI Geophys. Res. Lett.
PD JUN 16
PY 2021
VL 48
IS 11
AR e2021GL093622
DI 10.1029/2021GL093622
PG 12
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology
GA SV1AN
UT WOS:000663558200014
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Li, H
   Liu, MM
   Lu, Q
AF Li, Han
   Liu, Mengmeng
   Lu, Qian
TI Impact of climate change on household development resilience: Evidence
   from rural China
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Climate change; Development resilience; Long-run; Household welfare
ID SHOCKS; TEMPERATURE; POVERTY; AGRICULTURE; CONSUMPTION; ADAPTATION;
   EXPOSURE; FLOODS; RISK; FOOD
AB The adverse impacts of climate change have emerged as one of the primary threats to human development; however, the climate change economic impact evaluation literature has mostly estimated effects under an assumption of full certainty. This article aims to estimate the long-run impact of climate change on household development resilience. To do so, we use the China Health and Nutrition Survey, which contains detailed lon-gitudinal socioeconomic information from 1989 to 2015, and matches them to weather data. We find that climate change negatively impacts household development resilience. This negative impact stems from both a decline in upward mobility of households and an increase in downside risks. In other words, the rise in tem-peratures not only reduces the pace of household economic growth but also amplifies economic volatility, elevating consumption risk for households. The effects are driven by the decrease in agricultural production output and the risk of off-farm income. However, longer-run adaptation has offset 22.09% of the short-run effects of climate change on household development resilience. In contrast, climate adaptation mitigates household welfare loss to a greater extent through agricultural input adjustments and income diversification in the long run.
C1 [Li, Han; Liu, Mengmeng; Lu, Qian] Northwest A&F Univ, Coll Econ & Management, Yangling 712100, Shaanxi, Peoples R China.
C3 Northwest A&F University - China
RP Lu, Q (corresponding author), Northwest A&F Univ, Coll Econ & Management, Yangling 712100, Shaanxi, Peoples R China.
EM 15738516737@163.com; 1432898770@qq.com; hechuanhugh@126.com
RI lu, qian/IUN-7445-2023; Liu, Mengmeng/GVS-8050-2022
CR Antle J.M., 1983, Journal of Business Economic Statistics, V1, P192, DOI DOI 10.1080/07350015.1983.10509339
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Banerjee A, 2015, SCIENCE, V348, DOI 10.1126/science.1260799
   Barrett CB, 2006, WORLD DEV, V34, P1, DOI 10.1016/j.worlddev.2005.06.008
   Barrett CB, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2023343118
   Barrett CB, 2014, P NATL ACAD SCI USA, V111, P14625, DOI 10.1073/pnas.1320880111
   Behboudian M, 2023, J CLEAN PROD, V397, DOI 10.1016/j.jclepro.2023.136437
   Bohra-Mishra P, 2014, P NATL ACAD SCI USA, V111, P9780, DOI 10.1073/pnas.1317166111
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   Chaijaroen P, 2019, J DEV ECON, V136, P119, DOI 10.1016/j.jdeveco.2018.10.002
   Chen SH, 2021, J DEV ECON, V153, DOI 10.1016/j.jdeveco.2021.102711
   Chen S, 2021, J DEV ECON, V148, DOI 10.1016/j.jdeveco.2020.102557
   Chester MV, 2020, NAT CLIM CHANGE, V10, P488, DOI 10.1038/s41558-020-0741-0
   Cissé JD, 2018, J DEV ECON, V135, P272, DOI 10.1016/j.jdeveco.2018.04.002
   d'Errico M, 2019, ECOL ECON, V164, DOI 10.1016/j.ecolecon.2019.106365
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   Deryugina Tatyana., 2014, Does the Environment Still Matter? Daily Temperature and Income in the United States, DOI [DOI 10.3386/W20750, 10.3386/W20750]
   Deschenes O, 2020, J DEV ECON, V145, DOI 10.1016/j.jdeveco.2020.102461
   Donadelli M, 2017, J ECON DYN CONTROL, V82, P331, DOI 10.1016/j.jedc.2017.07.003
   Du MY, 2023, J CLEAN PROD, V422, DOI 10.1016/j.jclepro.2023.138589
   Fishman R, 2019, J ENVIRON ECON MANAG, V93, P221, DOI 10.1016/j.jeem.2018.10.001
   Gong BL, 2018, J DEV ECON, V132, P18, DOI 10.1016/j.jdeveco.2017.12.005
   Guido Z, 2020, WORLD DEV, V132, DOI 10.1016/j.worlddev.2020.104979
   Hallegatte S, 2018, ENVIRON DEV ECON, V23, P217, DOI 10.1017/S1355770X18000141
   Hertel TW, 2010, APPL ECON PERSPECT P, V32, P355, DOI 10.1093/aepp/ppq016
   Heyes A, 2022, J DEV ECON, V155, DOI 10.1016/j.jdeveco.2021.102786
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Hochachka G, 2021, WORLD DEV, V140, DOI 10.1016/j.worlddev.2020.105361
   Huang KX, 2020, J ENVIRON ECON MANAG, V104, DOI 10.1016/j.jeem.2020.102376
   Islam A, 2012, J DEV ECON, V97, P232, DOI 10.1016/j.jdeveco.2011.05.003
   JUST RE, 1979, AM J AGR ECON, V61, P276, DOI 10.2307/1239732
   Kahsay G. A., 2023, WORLD DEV SUSTAINABI, V2, DOI DOI 10.1016/J.WDS.2023.100046
   Knippenberg E, 2019, WORLD DEV, V121, P1, DOI 10.1016/j.worlddev.2019.04.010
   Mariam N, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/aba2fe
   Mendelsohn R, 2006, ENVIRON DEV ECON, V11, P159, DOI 10.1017/S1355770X05002755
   Mendelsohn RO, 2017, REV ENV ECON POLICY, V11, P280, DOI 10.1093/reep/rex017
   Nosheen M, 2023, J CLEAN PROD, V421, DOI 10.1016/j.jclepro.2023.138480
   Phadera L, 2019, J DEV ECON, V138, P205, DOI 10.1016/j.jdeveco.2019.01.003
   Preacher KJ, 2004, BEHAV RES METH INS C, V36, P717, DOI 10.3758/BF03206553
   Quiroga S, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104733
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Schulte M, 2023, J CLEAN PROD, V421, DOI 10.1016/j.jclepro.2023.138487
   Shwom R, 2012, WIRES CLIM CHANGE, V3, P379, DOI 10.1002/wcc.182
   Skjeflo S, 2013, GLOBAL ENVIRON CHANG, V23, P1694, DOI 10.1016/j.gloenvcha.2013.08.011
   Smith LC, 2018, WORLD DEV, V102, P358, DOI 10.1016/j.worlddev.2017.07.003
   Sun TY, 2023, J CLEAN PROD, V412, DOI 10.1016/j.jclepro.2023.137372
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Wiebelt M, 2013, FOOD POLICY, V43, P77, DOI 10.1016/j.foodpol.2013.08.009
   Winsemius HC, 2018, ENVIRON DEV ECON, V23, P328, DOI 10.1017/S1355770X17000444
   Zhang P, 2017, J ENVIRON ECON MANAG, V83, P8, DOI 10.1016/j.jeem.2016.12.001
NR 50
TC 4
Z9 4
U1 54
U2 124
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 1
PY 2024
VL 434
AR 139689
DI 10.1016/j.jclepro.2023.139689
EA DEC 2023
PG 11
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 CX9V0
UT WOS:001128658100001
DA 2025-01-10
ER

PT J
AU Cwik, B
   Gonnerman, C
   O'Rourke, M
   Robinson, B
   Schoonmaker, D
AF Cwik, Bryan
   Gonnerman, Chad
   O'Rourke, Michael
   Robinson, Brian
   Schoonmaker, Daniel
TI Building community capacity with philosophy: Toolbox dialogue and
   climate resilience
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE climate change; climate resiliency; philosophy; Toolbox dialogue method;
   values-informed mental models
ID MENTAL MODELS; SCIENTISTS; SCIENCE
AB In this article, we describe a project in which philosophy, in combination with methods drawn from mental modeling, was used to structure dialogue among stakeholders in a region-scale climate adaptation process. The case study we discuss synthesizes the Toolbox dialogue method, a philosophically grounded approach to enhancing communication and collaboration in complex research and practice, with a mental modeling approach rooted in risk analysis, assessment, and communication to structure conversations among non-academic stakeholders who have a common interest in planning for a sustainable future. We begin by describing the background of this project, including details about climate resiliency efforts in West Michigan and the Toolbox dialogue method, which was extended in this project from academic research into community organization involving the West Michigan Climate Resiliency Framework Initiative. This extension involved application of several methods, which are the focus of the Methods section. We then present and discuss preliminary results that suggest the potential for philosophical dialogue to enhance mutual understanding in complex community initiatives that focus on sustainable responses to climate change. Overall, the article supplies a detailed, instructive example of how philosophy can support policy-relevant decision-making processes at the community level.
C1 [Cwik, Bryan] Portland State Univ, Philosophy & Univ Studies, Portland, OR 97207 USA.
   [Gonnerman, Chad] Univ Southern Indiana, Dept Polit Sci Publ Adm & Philosophy, Evansville, IN USA.
   [O'Rourke, Michael] Michigan State Univ, Ctr Interdisciplinar, E Lansing, MI 48824 USA.
   [O'Rourke, Michael] Michigan State Univ, Dept Philosophy, E Lansing, MI 48824 USA.
   [Robinson, Brian] Texas A&M Univ Kingsville, Dept Hist Polit Sci & Philosophy, Kingsville, TX USA.
   [Schoonmaker, Daniel] West Michigan Sustainable Business Forum, Grand Rapids, MI USA.
C3 Portland State University; Michigan State University; Michigan State
   University; Texas A&M University System; Texas A&M University Kingsville
RP Cwik, B (corresponding author), Portland State Univ, Philosophy & Univ Studies, Portland, OR 97207 USA.
RI Robinson, B/LBH-2242-2024; Gonnerman, Chad/KIK-5348-2024
OI O'Rourke, Michael/0000-0002-4629-0811
FU National Science Foundation through the Network for Sustainable Climate
   Risk Management (SCRiM) under NSF [GEO-1240507]; Rock Ethics Institute
   at Penn State University; Sustainable Michigan Endowed Project; USDA
   National Institute of Food and Agriculture, Hatch project [1016959]
FX This article has been a long time in production, and we are grateful to
   a number of organizations, people, and conferences for their support.
   Our work was supported by the National Science Foundation through the
   Network for Sustainable Climate Risk Management (SCRiM) under NSF
   cooperative agreement GEO-1240507. We would also like to acknowledge the
   Rock Ethics Institute at Penn State University and the Sustainable
   Michigan Endowed Project for funding support, and Amway for in -kind
   support for the Summit food and space. O'Rourke's work on this article
   was supported by the USDA National Institute of Food and Agriculture,
   Hatch project 1016959. We would like to thank the following individuals
   for their assistance along the way: Evelyn Brister, Michael Burroughs,
   Aaron Ferguson, Michelle Gibbs, Klaus Keller, Lauren Mayer, Sara Meyer,
   Rob Peeler, Zachary Piso, Nancy Tuana, Sean Valles, Eric VanDellen,
   Benjamin VanGessel, Stephanie E. Vasko, and Kyle Whyte. Finally, we
   would like to thank audiences at two conferences for their input: the
   Joint Caucus for Socially Engaged Philosophers and Historians of Science
   (November 2014) and the 2016 Science of Team Science Conference (May
   2016) .
CR Bessette DL, 2017, RISK ANAL, V37, P1993, DOI 10.1111/risa.12743
   Brister E, 2021, SOC EPISTEMOL, V35, P393, DOI 10.1080/02691728.2020.1757176
   Bruer J.T., 1993, SCH THOUGHT SCI LEAR
   Concepcion David., 2004, Teaching Philosophy, V27, P351, DOI [10.5840/teachphil200427443, DOI 10.5840/TEACHPHIL200427443]
   Creswell J. W., 2016, Qualitative inquiry and research design: Choosing among five approaches
   Donovan SM, 2015, SAGE OPEN, V5, DOI 10.1177/2158244015586237
   Downs JS, 2008, VACCINE, V26, P1595, DOI 10.1016/j.vaccine.2008.01.011
   Edmondson A, 1999, ADMIN SCI QUART, V44, P350, DOI 10.2307/2666999
   Eigenbrode SD, 2007, BIOSCIENCE, V57, P55, DOI 10.1641/B570109
   Elliott Kevin., 2017, A Tapestry Of Values, DOI DOI 10.1093/ACPROF:OSO/9780190260804.001.0001
   Giere RN, 2004, PHILOS SCI, V71, P742, DOI 10.1086/425063
   Hubbs G, 2020, The Toolbox Dialogue Initiative: The Power of Cross-Disciplinary Practice, DOI 10.1201/9780429440014
   Jackson A, 2014, TOP 10 W MICHIGAN WE
   Johnson--Laird P. N., 1983, Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness
   Johnson-Laird PN, 2010, P NATL ACAD SCI USA, V107, P18243, DOI 10.1073/pnas.1012933107
   Jones NA, 2011, ECOL SOC, V16
   Klein P, 2011, J GEOGR HIGHER EDUC, V35, P425, DOI 10.1080/03098265.2011.576337
   Laursen BK, 2021, STUD HIST PHILOS SCI, V87, P54, DOI 10.1016/j.shpsa.2021.02.004
   Lélé S, 2005, BIOSCIENCE, V55, P967, DOI 10.1641/0006-3568(2005)055[0967:PI]2.0.CO;2
   Looney C., 2014, Enhancing Communication Collaboration in Interdisciplinary Research, P220, DOI [DOI 10.4135/9781483352947.N11, 10.4135/9781483352947.n11]
   MacLeod M, 2018, SYNTHESE, V195, P697, DOI 10.1007/s11229-016-1236-4
   Mayer LA, 2017, GLOBAL ENVIRON CHANG, V42, P107, DOI 10.1016/j.gloenvcha.2016.12.007
   McInerney D, 2012, CLIMATIC CHANGE, V112, P547, DOI 10.1007/s10584-011-0377-1
   Morgan M.G., 2001, RISK COMMUNICATION M
   Nelson MP, 2009, CONSERV BIOL, V23, P1090, DOI 10.1111/j.1523-1739.2009.01250.x
   O'Rourke M, 2013, SYNTHESE, V190, P1937, DOI 10.1007/s11229-012-0175-y
   ORourke M., 2020, The Toolbox Dialogue Initiative: The Power of Cross-Disciplinary Practice, P17, DOI [10.1201/9780429440014-2, DOI 10.1201/9780429440014-2]
   Parker T., 2012, LOSS MICHIGAN APPLES
   Ramadier T, 2004, FUTURES, V36, P423, DOI 10.1016/j.futures.2003.10.009
   Rinkus M.A., 2020, The toolbox dialogue initiative: The power of crossdisciplinary practice, P142, DOI [10.1201/9780429440014-10, DOI 10.1201/9780429440014-10]
   Rinkus M. A., 2020, TOOLBOX DIALOGUE INI, P116, DOI [10.4324/9780429440014-8, DOI 10.4324/9780429440014-8]
   Robinson B., 2020, The toolbox dialogue initiative, P127, DOI [10.1201/9780429440014-9, DOI 10.1201/9780429440014-9]
   Robinson B, 2019, PHILOS SCI, V86, P551, DOI 10.1086/703553
   Roulston K., 2014, SAGE HDB QUALITATIVE, P297, DOI [https://doi.org/10.4135/9781849208963, DOI 10.4135/9781849208963, DOI 10.4135/9781446282243.N20]
   Strawson Peter., 2008, FREEDOM RESENTMENT O, DOI [10.4324/9780203882566, DOI 10.4324/9780203882566]
   Thagard P, 2012, COGNITIVE SCI SCI EX, DOI [10.7551/mitpress/9218.001.0001, DOI 10.7551/MITPRESS/9218.001.0001]
   Torregrossa M, 2013, MICHIGAN WEATHER UPD
   Tourangeau R., 1992, CONTEXT EFFECTS SOCI, P35, DOI [DOI 10.1007/978-1-4612-2848-6_4, 10.1007/978-1-4612-2848-6_4]
   United Nations, 2021, Progress on the Sustainable Development Goals: The Gender Snapshot 2021
   van Fraassen Bas C., 1980, The Scientific Image, DOI DOI 10.1093/0198244274.001.0001
   West Michigan Environmental Action Council (WMEAC), 2013, GRAND RAP CLIM RES R
   West Michigan Sustainable Business Forum (WMSBF), 2014, W MICH CLIM RES FRAM
   Western Michigan University Evaluation Center (WMUEC), 2017, MSU TOOLB DIAL IN EV, DOI [10.5281/zenodo.6555532, DOI 10.5281/ZENODO.6555532]
   Whetstone H, 2014, WEATHERING CLIMATE M
NR 44
TC 0
Z9 0
U1 1
U2 8
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 JUN
PY 2022
VL 27
IS 2
AR 21
DI 10.5751/ES-13282-270221
PG 16
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 3C2UZ
UT WOS:000828485200009
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Liu, Y
   Fan, JC
   Plamthottam, R
   Gao, M
   Peng, ZH
   Meng, Y
   He, MF
   Wu, HX
   Wang, YF
   Liu, TX
   Zhang, C
   Pei, QB
AF Liu, Ying
   Fan, Jiacheng
   Plamthottam, Roshan
   Gao, Meng
   Peng, Zihang
   Meng, Yuan
   He, Mingfei
   Wu, Hanxiang
   Wang, Yufeng
   Liu, Tianxi
   Zhang, Chao
   Pei, Qibing
TI Automatically Modulated Thermoresponsive Film Based on a Phase-Changing
   Copolymer
SO CHEMISTRY OF MATERIALS
LA English
DT Article
ID VO2 NANOPARTICLES; SMART; TEMPERATURE; TRANSMITTANCE; PERFORMANCE;
   COMPOSITES; EFFICIENT; COLOR
AB Thermoresponsive materials, in particular those exhibiting switchable optical transmittance via temperature change, have been widely used in different applications. If the required temperature change is within seasonal temperature changes, the transmittance change would consume low energy or be autonomous. Here, a solid-state thermoresponsive phase-changing copolymer (TPCC) film has been demonstrated, with a large transmittance modulation between room and hot temperatures (>28 degrees C). The polymer film comprises a hydrophilic poly-(hydroxyethyl acrylate) (HEA) cross-linked with a hydrophobic phase-changing poly(hexadecyl acrylate-co-tetradecyl acrylate) (HDA-TA). The TPCC was designed such that the HEA and HDA-TA moieties produce micrometer-scale phase separation, the HDA-TA moiety undergoes reversible crystalline-to-amorphous transition at 28-32 degrees C, and the refractive indices of the hydrophilic and hydrophobic phases are matched at ambient temperature but are mismatched when the temperature is above the transition. The TPCC film showed high modulations of transmittance in the visible (390-780 nm), solar (300-2500 nm), and infrared (780-2500 nm) spectrum of 68.8, 62.7, and 55.8%, respectively. The opacity switching was reversible without any decay after 1000 heating-cooling cycles. The TPCC film was investigated for autonomous and climate-adaptable solar modulation window application.
C1 [Liu, Ying; Fan, Jiacheng; Plamthottam, Roshan; Gao, Meng; Peng, Zihang; Meng, Yuan; He, Mingfei; Wu, Hanxiang; Pei, Qibing] Univ Calif Los Angeles, Dept Mat Sci & Engn, Henry Samueli Sch Engn & Appl Sci, Los Angeles, CA 90095 USA.
   [Liu, Ying; Wang, Yufeng; Liu, Tianxi; Zhang, Chao] Donghua Univ, State Key Lab Modificat Chem Fibers & Polymer Mat, Coll Mat Sci & Engn, Shanghai 201620, Peoples R China.
C3 University of California System; University of California Los Angeles;
   Donghua University
RP Pei, QB (corresponding author), Univ Calif Los Angeles, Dept Mat Sci & Engn, Henry Samueli Sch Engn & Appl Sci, Los Angeles, CA 90095 USA.
EM qpei@seas.ucla.edu
RI Peng, Zihang/AAJ-9358-2021; Fan, Jiacheng/JXN-5511-2024; Gao,
   Meng/AAQ-4348-2021; Wu, Hanxiang/JFJ-0519-2023; Pei, Qibing/N-7497-2015;
   Liu, Tianxi/E-6628-2011; Zhang, Chao/M-4145-2017
OI Liu, Tianxi/0000-0002-5592-7386; Pei, Qibing/0000-0003-1669-1734; Wu,
   Hanxiang/0000-0002-8556-8468; Gao, Meng/0000-0002-3018-6657; Fan,
   Jiacheng/0009-0007-7716-5208; LIU, YING/0000-0001-6970-4469; Zhang,
   Chao/0000-0003-1255-7183
FU China Scholarship Council; NIH [1S10RR23057]; CNSI at UCLA
FX Y.L. acknowledges support from the China Scholarship Council
   Scholarship. The authors are grateful to Metricon Corporation for their
   kind support with refractive indices test. The authors acknowledge the
   use of instruments at the Electron Imaging Center for NanoMachines
   supported by NIH (1S10RR23057 to ZHZ) and CNSI at UCLA.
CR [Anonymous], 1981, Light scattering by small particles
   Cao RR, 2019, ACS APPL MATER INTER, V11, P8982, DOI 10.1021/acsami.8b18282
   Coates D, 1995, J MATER CHEM, V5, P2063, DOI 10.1039/jm9950502063
   Cui YY, 2018, JOULE, V2, P1707, DOI 10.1016/j.joule.2018.06.018
   Gu HX, 2018, ACS NANO, V12, P559, DOI 10.1021/acsnano.7b07360
   HIRABAYASHI T, 1988, POLYM J, V20, P693, DOI 10.1295/polymj.20.693
   Jurewicz I, 2020, ADV FUNCT MATER, V30, DOI 10.1002/adfm.202002473
   Karshalev E, 2018, CHEM MATER, V30, P1593, DOI 10.1021/acs.chemmater.7b04792
   Ke YJ, 2018, ADV FUNCT MATER, V28, DOI 10.1002/adfm.201800113
   Ke YJ, 2016, ACS APPL MATER INTER, V8, P33112, DOI 10.1021/acsami.6b12175
   Kim HN, 2020, ADV FUNCT MATER, V30, DOI 10.1002/adfm.201902597
   Li P, 2020, CHEM COMMUN, V56, P5929, DOI 10.1039/d0cc01627f
   Li XH, 2019, JOULE, V3, P290, DOI 10.1016/j.joule.2018.10.019
   Liang X, 2018, J MATER CHEM C, V6, P7054, DOI 10.1039/c8tc01274a
   Liang X, 2017, ACS APPL MATER INTER, V9, P40810, DOI 10.1021/acsami.7b11582
   Liang X, 2017, MATER HORIZ, V4, P878, DOI 10.1039/c7mh00224f
   Lin HJ, 2019, CHEM MATER, V31, P9504, DOI 10.1021/acs.chemmater.9b03670
   Liu J, 2014, CHEM-ASIAN J, V9, P275, DOI 10.1002/asia.201301010
   Liu JC, 2020, ANGEW CHEM INT EDIT, V59, P3495, DOI 10.1002/anie.201914193
   Nosonovsky M, 2011, LANGMUIR, V27, P14419, DOI 10.1021/la201656y
   Panák O, 2017, DYES PIGMENTS, V136, P382, DOI 10.1016/j.dyepig.2016.08.050
   Peng S, 2004, J APPL POLYM SCI, V93, P1240, DOI 10.1002/app.20578
   Pickering JP, 1998, POLYM BULL, V40, P549, DOI 10.1007/s002890050289
   Ren Z, 2016, MACROMOLECULES, V49, P134, DOI 10.1021/acs.macromol.5b02382
   Shen N, 2014, J MATER CHEM A, V2, P15087, DOI 10.1039/c4ta02880e
   Takeuchi M, 2018, ADV FUNCT MATER, V28, DOI 10.1002/adfm.201804906
   Wang Q, 2020, ADV OPT MATER, V8, DOI 10.1002/adom.202001207
   Wang WT, 2018, ADV OPT MATER, V6, DOI 10.1002/adom.201701093
   Wang YP, 2021, ACS NANO, V15, P3509, DOI 10.1021/acsnano.1c00181
   Xie Y, 2020, MACROMOL RAPID COMM, V41, DOI 10.1002/marc.202000290
   Zhang LM, 2020, J MATER CHEM C, V8, P13396, DOI 10.1039/d0tc03436c
   Zhang QH, 2021, ADV FUNCT MATER, V31, DOI 10.1002/adfm.202100686
   Zhang W, 2021, CHEM ENG J, V419, DOI 10.1016/j.cej.2021.129553
   Zhang Y, 2019, APPL ENERG, V254, DOI 10.1016/j.apenergy.2019.113690
   Zheng JY, 2015, NANO ENERGY, V11, P136, DOI 10.1016/j.nanoen.2014.09.023
   Zhou Y, 2020, JOULE, V4, P2458, DOI 10.1016/j.joule.2020.09.001
   Zhou Y, 2018, ADV FUNCT MATER, V28, DOI 10.1002/adfm.201705365
   Zhu JT, 2016, RSC ADV, V6, P67396, DOI 10.1039/c6ra14232j
   Zhu JT, 2017, NEW J CHEM, V41, P830, DOI 10.1039/c6nj03369e
   Zhu JT, 2016, ACS APPL MATER INTER, V8, P29742, DOI 10.1021/acsami.6b11202
   Zhu JT, 2015, ACS APPL MATER INTER, V7, P27796, DOI 10.1021/acsami.5b09011
NR 41
TC 23
Z9 22
U1 6
U2 70
PU AMER CHEMICAL SOC
PI WASHINGTON
PA 1155 16TH ST, NW, WASHINGTON, DC 20036 USA
SN 0897-4756
EI 1520-5002
J9 CHEM MATER
JI Chem. Mat.
PD SEP 28
PY 2021
VL 33
IS 18
BP 7232
EP 7241
DI 10.1021/acs.chemmater.1c01389
EA SEP 2021
PG 10
WC Chemistry, Physical; Materials Science, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Materials Science
GA WB4GQ
UT WOS:000703532600008
DA 2025-01-10
ER

PT J
AU Rendon, C
   Osman, KK
   Faust, KM
AF Rendon, Celine
   Osman, Khalid K.
   Faust, Kasey M.
TI Path towards community resilience: Examining stakeholders? coordination
   at the intersection of the built, natural, and social systems
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Equity; Environmental planning; Sustainability; Resilience; Community
   resilience; Flooding
ID ENVIRONMENTAL JUSTICE; BUILDING RESILIENCE; CLIMATE ADAPTATION; FLOOD
   HAZARDS; VULNERABILITY; MANAGEMENT; EQUITY; RACE; CAPABILITIES;
   RESPONSES
AB It is well established that low-income and communities of color often receive delayed disaster recovery while disproportionately impacted from disasters. Governments have more recently employed equity principles into their policies and frameworks to improve resiliency of such communities to disasters. However, although many city agencies have an overlying goal to advance racial equity, the reality of coordination efforts may reveal shortcomings that perpetuate inequitable outcomes in the decision-making process of city stakeholders. This study assessed internal stakeholder interviews from city agencies, social services, and a nonprofit in summer of 2018 to identify obstacles and opportunities for building community resilience in Southeast Austin. An inductive qualitative analysis was then performed to extract emergent themes from the interviews. Key recommendations for improving equitable community resilience planning were developed such as, increased internal coordination and collaboration, and improved external communication and engagement. This study contributes to understanding the relationship of equity in community resiliency planning and represents an important contribution to understanding the influential factors that shape a decision-makers role in planning efforts. Improving such understandings can support more collaborative and participatory decision-making processes between affected community members and city agencies.
C1 [Rendon, Celine; Osman, Khalid K.; Faust, Kasey M.] Univ Texas Austin, 301 E Dean Keeton St,STOP 1752, Austin, TX 78712 USA.
C3 University of Texas System; University of Texas Austin
RP Faust, KM (corresponding author), Univ Texas Austin, 301 E Dean Keeton St,STOP 1752, Austin, TX 78712 USA.
EM cpr622@utexas.edu; kosman@utexas.edu; faustk@utexas.edu
RI Faust, Kasey/AAT-2629-2021
OI Rendon, Celine/0000-0002-5029-5834; Faust, Kasey/0000-0001-7986-4757;
   Osman, Khalid/0000-0002-9804-8322
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Almanza L., 2002, HOUSING PATTERNS STU
   [Anonymous], 2008, DUMPING DIXIE RACE C
   [Anonymous], 2018, SOCIAL JUSTICE CONTE
   [Anonymous], PLANNING CLIMATE DEV, V10, P116
   [Anonymous], 2009, DEFINING ENV JUSTICE
   [Anonymous], 2016, CITY AUSTIN STRATEGI
   [Anonymous], 2003, The Vulnerability of Cities: Natural Disasters and Social Resilience
   Baker SH, 2019, HARVARD CIVIL RIGHTS, V54, P1
   Banuls V.A., 2017, MOVING FORWARD DISAS
   Beeman Angie., 2011, CRIT SOCIOL, V37, P27, DOI DOI 10.1177/0896920510378762
   BIERNACKI P, 1981, SOCIOL METHOD RES, V10, P141, DOI 10.1177/004912418101000205
   Bosher L, 2009, DISASTER PREV MANAG, V18, P9, DOI 10.1108/09653560910938501
   Brems E, 2018, DEUSTO J HUMAN RIGHT
   Briassoulis H, 2015, ENVIRON MANAGE, V56, P1448, DOI 10.1007/s00267-015-0584-z
   Buchele Mose., 2013, LIKE BOMB WENTSCENES
   Bullard R.D., 2005, QUEST ENV JUSTICE HU
   Bullard Robert D., 2012, WRONG COMPLEXION PRO
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Chakraborty J, 2014, NAT HAZARDS REV, V15, DOI 10.1061/(ASCE)NH.1527-6996.0000140
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   City of Austin, 2020, EQUITY OFFICE WENDY
   City of Austin Watershed Protection Department, 2019, ON CREEK FLOODPL STU
   Cohen O, 2017, TECHNOL FORECAST SOC, V121, P119, DOI 10.1016/j.techfore.2016.11.008
   Cole LW, 2001, GROUND ENV RACISM RI, V34
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 1996, INT SOC SCI J, V48, P525, DOI 10.1111/1468-2451.00053
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Domingue SJ, 2019, AM REV PUBLIC ADM, V49, P897, DOI 10.1177/0275074019856122
   Doussard M, 2020, CITIES, V96, DOI 10.1016/j.cities.2019.102450
   Emrich CT, 2020, ENVIRON HAZARDS-UK, V19, P228, DOI 10.1080/17477891.2019.1675578
   Engle NL, 2010, GLOBAL ENVIRON CHANG, V20, P4, DOI 10.1016/j.gloenvcha.2009.07.001
   Federal Emergency Management Agency. (, 2015, RISK MAPP ASS PLANN
   Fisher S, 2015, GEOGR J, V181, P73, DOI 10.1111/geoj.12078
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Fumo M, 2018, CULTURAL LANDSCAPE D
   Gardiner EP, 2019, CLIMATIC CHANGE, V153, P477, DOI 10.1007/s10584-018-2216-0
   Goodman LA., 1961, ANN MATH STAT, P148, DOI [DOI 10.1214/AOMS/1177705148, 10.1214/aoms/1177705148]
   Green Colin., 1994, Floods Across Europe, P32
   Grove K, 2020, GEOFORUM, V117, P134, DOI 10.1016/j.geoforum.2020.09.014
   Grove K, 2020, ANN AM ASSOC GEOGR, V110, P1613, DOI 10.1080/24694452.2020.1715778
   Hale RL, 2018, J AM WATER RESOUR AS, V54, P1137, DOI 10.1111/1752-1688.12676
   Harrison JL, 2014, ENVIRON POLIT, V23, P650, DOI 10.1080/09644016.2013.877558
   Hassen I, 2018, CITIES, V80, P45, DOI 10.1016/j.cities.2017.06.019
   Hesed CDM, 2015, NAT CLIM CHANGE, V5, P683, DOI [10.1038/NCLIMATE2668, 10.1038/nclimate2668]
   Holland B, 2017, ENVIRON POLIT, V26, P391, DOI 10.1080/09644016.2017.1287625
   Hung HC, 2013, CLIMATIC CHANGE, V120, P491, DOI 10.1007/s10584-013-0819-z
   Johnson C, 2014, ENVIRON URBAN, V26, P29, DOI 10.1177/0956247813518684
   Kais SM, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13121211
   Kapucu N, 2008, DISASTERS, V32, P239, DOI 10.1111/j.1467-7717.2008.01037.x
   Karakoc DB, 2020, SUSTAIN CITIES SOC, V57, DOI 10.1016/j.scs.2020.102072
   Kreps G.A, 1989, S SOC STRUCT DIS COL
   La Rosa D, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101885
   Leach WD, 2002, J POLICY ANAL MANAG, V21, P645, DOI 10.1002/pam.10079
   LeBreton JM, 2008, ORGAN RES METHODS, V11, P815, DOI 10.1177/1094428106296642
   Leighton H., 2019, BOTH DALLAS HOUSTON
   LICHTERMAN P, 1995, SOC PROBL, V42, P513, DOI 10.1525/sp.1995.42.4.03x0130z
   Longhurst R, 2003, KEY METHODS GEOGR, V3, P143
   Maantay J, 2009, APPL GEOGR, V29, P111, DOI 10.1016/j.apgeog.2008.08.002
   Mason LR, 2019, J COMMUNITY PRACT, V27, P334, DOI 10.1080/10705422.2019.1655125
   MASSEY DS, 1990, SOC FORCES, V69, P15, DOI 10.2307/2579605
   Mavhura E, 2017, GEOFORUM, V86, P103, DOI 10.1016/j.geoforum.2017.09.008
   McGlinchy A., 2015, 2 YEARS FLOODS DOVE
   Medd W, 2015, J FLOOD RISK MANAG, V8, P315, DOI 10.1111/jfr3.12098
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Miller Hesed CD, 2017, CLIMATIC CHANGE, V143, P185, DOI 10.1007/s10584-017-1982-4
   Mohai P, 2009, ANNU REV ENV RESOUR, V34, P405, DOI 10.1146/annurev.environ.082508-094348
   Montgomery MC, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/9/095010
   Muller C, 2018, ANNU REV SOCIOL, V44, P263, DOI 10.1146/annurev-soc-073117-041222
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nesbitt L, 2019, URBAN FOR URBAN GREE, V44, DOI 10.1016/j.ufug.2019.126433
   O'Neill E, 2018, INT J RIVER BASIN MA, V16, P71, DOI 10.1080/15715124.2017.1351979
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Pellow DavidNaguib., 2017, WHAT IS CRITICAL ENV
   Piggee C, 2008, ANAL CHEM, V80, P4783, DOI 10.1021/ac086126c
   Roberts JT, 2009, INT J COMP SOCIOL, V50, P385, DOI 10.1177/0020715209105147
   Saldana J., 2015, The coding manual for qualitative researchers
   Schlosberg D, 2004, ENVIRON POLIT, V13, P517, DOI 10.1080/0964401042000229025
   Schlosberg D., 2003, MORAL POLITICAL REAS
   Schlosberg D, 2014, WIRES CLIM CHANGE, V5, P359, DOI 10.1002/wcc.275
   Schlosberg D, 2012, ETHICS INT AFF, V26, P445, DOI 10.1017/S0892679412000615
   Schlosberg David., 1999, Environmental Justice and the New Pluralism
   Schlosberg David., 2009, DEFINING ENV JUSTICE
   Schneider SaundraK., 1995, Flirting with Disaster: Public Management in Crisis Situations
   Shapiro I., 2005, RECESSION CONTINUES, V1, P16
   Shrader-Frechette K.S., 2002, Environmental Justice: Creating Equality, Reclaiming Democracy
   Singleton RoyceA., 1993, APPROACHES SOCIAL RE
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Tapsell SM, 2002, PHILOS T R SOC A, V360, P1511, DOI 10.1098/rsta.2002.1013
   Tinsley H.E. A., 2000, Handbook of Applied Multivariate Statistics and Mathematical Modeling, P95, DOI DOI 10.1016/B978-012691360-6/50005-7
   Trudeau D, 2018, SUSTAIN CITIES SOC, V41, P601, DOI 10.1016/j.scs.2018.05.007
   Ueland J, 2006, GEOGR REV, V96, P50, DOI 10.1111/j.1931-0846.2006.tb00387.x
   *US CENS BUR, 2010, CENS US CENS BUR 201
   Walpole SC, 2009, B WORLD HEALTH ORGAN, V87, P799, DOI 10.2471/BLT.09.067116
   Werritty A., 2007, EXPLORING SOCIAL IMP
   White RK, 2015, AM BEHAV SCI, V59, P200, DOI 10.1177/0002764214550296
   Wilson BarbaraBrown., 2018, Resilience for All
   Wilson B, 2020, J AM PLANN ASSOC, V86, P443, DOI 10.1080/01944363.2020.1759127
   Wright B., 2010, FLA A M UL REV, V6, P197
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Zenou Y, 2000, J URBAN ECON, V48, P260, DOI 10.1006/juec.1999.2166
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 104
TC 32
Z9 36
U1 3
U2 52
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 MAY
PY 2021
VL 68
AR 102774
DI 10.1016/j.scs.2021.102774
EA FEB 2021
PG 12
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 RI0EA
UT WOS:000636582200004
DA 2025-01-10
ER

PT J
AU Eisele, M
   Troost, C
   Berger, T
AF Eisele, Marius
   Troost, Christian
   Berger, Thomas
TI How Bayesian Are Farmers When Making Climate Adaptation Decisions? A
   Computer Laboratory Experiment for Parameterising Models of Expectation
   Formation
SO JOURNAL OF AGRICULTURAL ECONOMICS
LA English
DT Article
DE Agent&#8208; based modelling; belief elicitation; climate change;
   climate variability; rational expectations
ID MONETARY INCENTIVES; BELIEF ELICITATION; AGRICULTURE; SIMULATION; RISK;
   REPRESENTATION; RATIONALITY; PREFERENCES; INFORMATION; PSYCHOLOGY
AB As the consequences of climate change for agricultural production slowly unfold at the local level (sometimes with contradicting signals), farmers' information processing and decision making become more relevant for policy analysis and modelling. The major challenge is to reveal patterns in the way farmers form expectations about future production outcomes and to encode these findings into models of heterogeneous expectation formation. We developed and tested a payout-motivated field experiment to observe farmer decision-making under climate change and to examine how they form their expectations in a recursive-dynamic context. Participants were exposed to ambiguity and acquired incremental evidence about the true distribution of possible climate outcomes through repeated random draws. Simulation models used in agricultural and environmental research usually implement simple forms of adaptive agent expectation or completely neglect this issue by assuming perfect foresight or constant expectations. Our computer laboratory experiments with blue- and white-collar farmers from Southwest Germany (n = 97) suggest that expectation behaviour of a large share of farmers can be well replicated with Bayesian types of expectation models.
C1 [Eisele, Marius; Troost, Christian; Berger, Thomas] Univ Hohenheim, Hans Ruthenberg Inst, Stuttgart, Germany.
C3 University Hohenheim
RP Berger, T (corresponding author), Univ Hohenheim, Hans Ruthenberg Inst, Stuttgart, Germany.
EM thomas.berger@uni-hohenheim.de
RI Berger, Thomas/E-8495-2010
OI Troost, Christian/0000-0003-4626-7117; Berger,
   Thomas/0000-0003-3316-9614
FU Deutsche Forschungsgemeinschaft (DFG) [FOR-1695]
FX Funding by Deutsche Forschungsgemeinschaft (DFG) under FOR-1695 is
   gratefully acknowledged.
CR Ames, 2020, 10 INT C ENV M SOFTW
   [Anonymous], DW NEWS DTSCH WELLE
   Antle JM, 2010, APPL ECON PERSPECT P, V32, P386, DOI 10.1093/aepp/ppq015
   Armantier O, 2013, EUR ECON REV, V62, P17, DOI 10.1016/j.euroecorev.2013.03.008
   Balmann, 2019, ECOLOGICAL COMPLEXIT, V40, P1007
   Berger T, 2006, AGR SYST, V88, P28, DOI 10.1016/j.agsy.2005.06.002
   Berger T, 2001, AGR ECON-BLACKWELL, V25, P245, DOI 10.1111/j.1574-0862.2001.tb00205.x
   Berger T, 2017, AGR ECON-BLACKWELL, V48, P693, DOI 10.1111/agec.12367
   Berger T, 2014, J AGR ECON, V65, P323, DOI 10.1111/1477-9552.12045
   Bert FE, 2006, AGR SYST, V88, P180, DOI 10.1016/j.agsy.2005.03.007
   Bougherara D, 2017, EUR REV AGRIC ECON, V44, P782, DOI 10.1093/erae/jbx011
   Chakravarty S, 2009, THEOR DECIS, V66, P199, DOI 10.1007/s11238-008-9112-4
   Charness G, 2016, J ECON BEHAV ORGAN, V131, P141, DOI 10.1016/j.jebo.2016.08.010
   Dessart FJ, 2019, EUR REV AGRIC ECON, V46, P417, DOI 10.1093/erae/jbz019
   Forster MR, 2000, J MATH PSYCHOL, V44, P205, DOI 10.1006/jmps.1999.1284
   Freeman T, 2009, CAN J AGR ECON, V57, P537, DOI 10.1111/j.1744-7976.2009.01169.x
   Happe K, 2008, J ECON BEHAV ORGAN, V67, P431, DOI 10.1016/j.jebo.2006.10.009
   Hardaker JB, 2010, AGR SYST, V103, P345, DOI 10.1016/j.agsy.2010.01.001
   Harrison GW, 2011, EUR REV AGRIC ECON, V38, P335, DOI 10.1093/erae/jbr029
   Harrison GW, 2004, J ECON LIT, V42, P1009, DOI 10.1257/0022051043004577
   Heckbert S, 2010, ANN NY ACAD SCI, V1185, P39, DOI 10.1111/j.1749-6632.2009.05286.x
   HEY JD, 1994, J ECON BEHAV ORGAN, V25, P329, DOI 10.1016/0167-2681(94)90104-X
   Holt CA, 2016, AM ECON J-MICROECON, V8, P110, DOI 10.1257/mic.20130274
   Huber R, 2018, AGR SYST, V167, P143, DOI 10.1016/j.agsy.2018.09.007
   Huebener H, 2017, ADV SCI RES, V14, P261, DOI 10.5194/asr-14-261-2017
   Huirne R.B.M., 2004, Coping with Risk in Agriculture
   Iyer P, 2020, J AGR ECON, V71, P3, DOI 10.1111/1477-9552.12325
   Janssen MA, 2006, ECOL SOC, V11
   Just DR, 2016, AM J AGR ECON, V98, P1181, DOI 10.1093/ajae/aaw019
   Kahneman D, 2003, AM ECON REV, V93, P1449, DOI 10.1257/000282803322655392
   Kahneman D., 2011, Thinking, fast and slow
   MEHTA CR, 1983, J AM STAT ASSOC, V78, P427, DOI 10.2307/2288652
   Nerlove M, 2001, HANDB ECON, V18, P155
   NERLOVE M, 1958, Q J ECON, V73, P227
   Rabin M, 2002, EUR ECON REV, V46, P657, DOI 10.1016/S0014-2921(01)00207-0
   Read D, 2005, J ECON METHODOL, V12, P265, DOI 10.1080/13501780500086180
   Reidsma P, 2018, AGR SYST, V159, P111, DOI 10.1016/j.agsy.2017.10.012
   Reutemann T, 2016, ECOL ECON, V129, P220, DOI 10.1016/j.ecolecon.2016.05.020
   Rommel J, 2019, J AGR ECON, V70, P408, DOI 10.1111/1477-9552.12298
   Schlag KH, 2015, EXP ECON, V18, P457, DOI 10.1007/s10683-014-9416-x
   SCHOEMAKER PJH, 1982, J ECON LIT, V20, P529
   Schotter A, 2014, ANNU REV ECON, V6, P103, DOI 10.1146/annurev-economics-080213-040927
   Schreinemachers P, 2006, J LAND USE SCI, V1, P29, DOI 10.1080/17474230600605202
   Schreinemachers P, 2009, CAN J AGR ECON, V57, P513, DOI 10.1111/j.1744-7976.2009.01168.x
   Shaw, 1987, B ECON RES, V39, P187, DOI DOI 10.1111/J.1467-8586.1987.TB00241.X
   Sisco MR, 2017, CLIMATIC CHANGE, V143, P227, DOI 10.1007/s10584-017-1984-2
   Slovic P, 2004, RISK ANAL, V24, P311, DOI 10.1111/j.0272-4332.2004.00433.x
   Stanovich KE, 2000, BEHAV BRAIN SCI, V23, P645, DOI 10.1017/S0140525X00003435
   Tesfatsion L, 2006, HANDB ECON, V13, P831
   Troost C, 2015, AM J AGR ECON, V97, P833, DOI 10.1093/ajae/aau076
   Voinov A, 2010, ENVIRON MODELL SOFTW, V25, P1268, DOI 10.1016/j.envsoft.2010.03.007
   Weber EU, 2018, PERSPECT PSYCHOL SCI, V13, P508, DOI 10.1177/1745691618767910
   Weber EU, 2016, WIRES CLIM CHANGE, V7, P125, DOI 10.1002/wcc.377
   Weber EU, 2004, PSYCHOL REV, V111, P430, DOI 10.1037/0033-295X.111.2.430
   Zaval L, 2014, NAT CLIM CHANGE, V4, P143, DOI 10.1038/NCLIMATE2093
NR 55
TC 11
Z9 12
U1 4
U2 20
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0021-857X
EI 1477-9552
J9 J AGR ECON
JI J. Agric. Econ.
PD SEP
PY 2021
VL 72
IS 3
BP 805
EP 828
DI 10.1111/1477-9552.12425
EA FEB 2021
PG 24
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA TU6EF
UT WOS:000615813000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Arnold, JL
   Cangelosi, E
   Beyea, WR
   Shaaban, A
   Kim, SK
AF Arnold, Joel L.
   Cangelosi, Elena
   Beyea, Wayne R.
   Shaaban, Amal
   Kim, Suk-Kyung
TI Rural climate resilience through built-environment interventions:
   modified deliberation with analysis as a tool to address barriers to
   adaptive capacity
SO REGIONAL STUDIES REGIONAL SCIENCE
LA English
DT Article
DE Climate change; built environment; public health; climate adaptation;
   community planning; visualization
ID CHANGE ADAPTATION; COMMUNITIES; INSTITUTIONS; EXAMPLES; INSIGHTS;
   IMAGERY
AB The public health impacts of climate change, and how they can be addressed through implementable built-environment interventions in non-agricultural-based rural communities, is an understudied area in the academic literature and adaptation planning practice, particularly in the United States. This paper addresses this gap in understanding through a pilot project that developed a climate and health-adaptation plan with Marquette County, a geographically large, coastal, non-agricultural-based, rural community in Michigan's Upper Peninsula. We show how the Deliberation with Analysis model of public participation, supported by visualizations and followed by post-participant surveys to measure its impact on barriers to adaptive capacity, can be used effectively to overcome barriers to adaptive capacity identified in the literature, specifically in understudied non-agricultural-based, rural, coastal communities in the United States. This study contributes to academic debates on adaptation and rurality by displaying the utility of a method that overcomes these key barriers to adaptive capacity noted in past research, specifically a lack of public awareness, a lack of or difficulty understanding climate information, a lack of leadership, and limited coordination and competing priorities.
C1 [Arnold, Joel L.; Cangelosi, Elena; Beyea, Wayne R.; Shaaban, Amal] Michigan State Univ, Sch Planning Design & Construct, E Lansing, MI 48824 USA.
   [Kim, Suk-Kyung] Yonsei Univ, Interior Architecture & Built Environm, Seoul, South Korea.
C3 Michigan State University; Yonsei University
RP Arnold, JL (corresponding author), Michigan State Univ, Sch Planning Design & Construct, E Lansing, MI 48824 USA.
EM arnold70@msu.edu; cangelo3@msu.edu; beyea@msu.edu; shaabana@msu.edu;
   kimskyu@yonsei.ac.kr
OI Cangelosi, Elena/0000-0002-5690-4370; Arnold, Joel/0000-0001-5573-785X
FU Centers for Disease Control and Prevention [EH001124]
FX This work was supported by the Centers for Disease Control and
   Prevention [cooperative agreement number EH001124]. Its contents are
   solely the responsibility of the authors and do not necessarily
   represent the official views of the Centers for Disease Control and
   Prevention or the Michigan Department of Health and Human Services
   (MDHHS).
CR Angel J., 2018, Fourth National Climate Assessment, VII, P863, DOI DOI 10.7930/NCA4.2018.CH21
   [Anonymous], 1996, UNDERSTANDING RISK U, DOI DOI 10.17226/5138
   [Anonymous], 2008, Public Participation Guide, DOI [10.17226/12434, DOI 10.17226/12434]
   [Anonymous], 2013, Rural Urban Continuum Codes
   [Anonymous], 2015, Descriptions and Maps: County Economic Types, 2015 Edition
   Azhoni A, 2017, SCI TOTAL ENVIRON, V576, P817, DOI 10.1016/j.scitotenv.2016.10.151
   Bajayo R, 2012, HEALTH PROMOT J AUST, V23, P30, DOI 10.1071/HE12030
   Bell EJ, 2013, RURAL REMOTE HEALTH, V13
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Botchwey ND, 2014, J PLAN EDUC RES, V34, P113, DOI 10.1177/0739456X14531830
   Brown I, 2016, REG ENVIRON CHANGE, V16, P1685, DOI 10.1007/s10113-015-0898-7
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   Casey A, 2019, COAST MANAGE, V47, P169, DOI 10.1080/08920753.2019.1564952
   Centers for Disease Control and Prevention (CD), 2019, CLIMATE EFFECTS HLTH
   Centers for Disease Control and Prevention (CDC), 2019, SAN FRANCISCO CLIMAT
   Centers for Disease Control and Prevention (CDC), 2019, BRACE FRAMEWORK
   Centers for Disease Control and Prevention (CDC), 2017, CLIMATE READY STATES
   Centers for Disease Control and Prevention (CDC), 2019, NEW YORK CITY CLIMAT
   Central Upper Peninsula Planning and Development, PRIOR CLIM AD PLANS
   Chaudhury AS, 2017, J RURAL STUD, V53, P214, DOI 10.1016/j.jrurstud.2017.05.010
   City of Bay City, 2017, CITY BAY CITY MICHIG
   City of Detroit Office of Sustainability, 2019, DETROIT SUSTAINABILI
   City of Flint, 2013, IMAGINE FLINT MASTER
   City of Hancock, 2017, HANCOCK MASTER PLAN
   Crawford P, 2018, TOWN PLAN REV, V89, P283, DOI 10.3828/tpr.2018.17
   Cuevas SC, 2016, CLIMATIC CHANGE, V136, P661, DOI 10.1007/s10584-016-1625-1
   Detroiters Working for Environmental Justice, 2017, DETR CLIM ACT PLAN
   Dilling L, 2017, ENVIRON PLANN A, V49, P2628, DOI 10.1177/0308518X16688686
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Fleming E., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume, VII, P322, DOI [DOI 10.7930/NCA4.2018.CH8, 10.7930/NCA4.2018.CH3, DOI 10.7930/NCA4.2018.CH3]
   Gray S, 2017, BIOL CONSERV, V208, P76, DOI 10.1016/j.biocon.2016.07.037
   Grusak, 2018, AGR RURAL COMMUNITIE, DOI [https://doi.org/10.7930/NCA4.2018.CH10, DOI 10.7930/NCA4.2018.CH10]
   Hamin EM, 2014, J AM PLANN ASSOC, V80, P110, DOI 10.1080/01944363.2014.949590
   Hanna EG, 2011, ASIA-PAC J PUBLIC HE, V23, p105S, DOI 10.1177/1010539510391459
   Hart PS, 2016, SCI COMMUN, V38, P415, DOI 10.1177/1075547016655357
   Henly-Shepard S, 2015, ENVIRON SCI POLICY, V45, P109, DOI 10.1016/j.envsci.2014.10.004
   Houghton A, 2017, J ENVIRON PUBLIC HEA, V2017, DOI 10.1155/2017/3407325
   Kahan D, 2010, NATURE, V463, P296, DOI 10.1038/463296a
   Kennedy B., 2015, THESIS MICHIGAN STAT
   Lal P, 2011, MITIG ADAPT STRAT GL, V16, P819, DOI 10.1007/s11027-011-9295-9
   Lonsdale WR, 2017, ENVIRON MANAGE, V60, P1076, DOI 10.1007/s00267-017-0933-1
   Marinucci GD, 2014, INT J ENV RES PUB HE, V11, P6433, DOI 10.3390/ijerph110606433
   Marquette County Resource Management/Development Department, 2007, HAZ MIT PLAN COUNTR
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Michigan Department of Health and Human Services (MDHHS) and Michigan State University Extension (MSUE), 2017, MARQ AR CLIM HLTH AD
   Michigan State University Extension (MSUE) and Michigan State University School of Planning Design and Construction (MSU SPDC), 2019, MARQUETTE AREA CLIMA
   Michigan State University Extension (MSUE) and Michigan State University School of Planning Design and Construction (MSU SPDC), 2018, MARQUETTE AREA CLIMA
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   Morello-Frosch R., 2009, CLIMATE GAP INEQUALI
   National Research Council, 2010, AM S CLIMATE CHOICES
   New York State, 2019, CLIMATE SMART COMMUN
   Nordgren J, 2016, ENVIRON SCI POLICY, V66, P344, DOI 10.1016/j.envsci.2016.05.006
   O'Neill S, 2009, SCI COMMUN, V30, P355, DOI 10.1177/1075547008329201
   O'Neill SJ, 2013, GLOBAL ENVIRON CHANG, V23, P413, DOI 10.1016/j.gloenvcha.2012.11.006
   Ohio Department of Natural Resources, GREAT LAKES BASIN
   Oulahen G, 2018, PLAN THEORY PRACT, V19, P405, DOI 10.1080/14649357.2018.1481993
   Owrangi A, 2017, LANCET, V389, P16
   Pendall R, 2018, HOUS POLICY DEBATE, V28, P901, DOI 10.1080/10511482.2018.1494024
   Raymond CM, 2013, GLOBAL ENVIRON CHANG, V23, P103, DOI 10.1016/j.gloenvcha.2012.11.004
   Reidmiller D.R., 2018, IMP RISKS AD US 4 NA
   Rosser Ezra., 2006, Georgetown Journal on Poverty Law Policy, P33
   Runkle J, 2018, CURR ENV HLTH REP, V5, P439, DOI 10.1007/s40572-018-0223-y
   Schramm P., CLIMATE MODELS USE C
   Shreck B, 2016, SOC NATUR RESOUR, V29, P509, DOI 10.1080/08941920.2015.1095380
   Singh NP, 2018, NAT HAZARDS, V92, P1287, DOI 10.1007/s11069-018-3250-y
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Stults M, 2017, CLIM RISK MANAG, V17, P21, DOI 10.1016/j.crm.2017.06.004
   Uittenbroek CJ, 2016, J ENVIRON POL PLAN, V18, P161, DOI 10.1080/1523908X.2015.1065717
   US Census Bureau, 2019, AM FACTF 2017 ACS 5
   Weston J, 2013, PLAN PRACT RES, V28, P186, DOI 10.1080/02697459.2012.704736
   Williams R., 2019, MICHIGAN RADIO 0816
   Wisconsin Climate and Health Program, 2016, CLIM HLTH COMM ENG T
   Wood RS, 2014, REV POLICY RES, V31, P529, DOI 10.1111/ropr.12103
   World Health Organization, 2018, COP24 SPEC REP HLTH
   Yale Program on Climate Change Communication, 2016, GLOB WARM 6 AM
NR 77
TC 3
Z9 3
U1 5
U2 13
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2168-1376
J9 REG STUD REG SCI
JI Reg. Stud. Reg. Sci.
PD JAN 1
PY 2021
VL 8
IS 1
BP 1
EP 24
DI 10.1080/21681376.2020.1854110
PG 24
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA PL2BJ
UT WOS:000602933600001
OA gold
DA 2025-01-10
ER

PT J
AU Nguyen, HQ
   Radhakrishnan, M
   Bui, TKN
   Tran, DD
   Ho, LP
   Tong, VT
   Huynh, LTP
   Chau, NXQ
   Ngo, TTT
   Pathirana, A
   Ho, HL
AF Hong Quan Nguyen
   Radhakrishnan, Mohanasundar
   Thi Kim Ngan Bui
   Dung Duc Tran
   Long Phi Ho
   Viet Thanh Tong
   Luu Trung Phung Huynh
   Nguyen Xuan Quang Chau
   Thi Thu Trang Ngo
   Pathirana, Assela
   Huu Loc Ho
TI Evaluation of retrofitting responses to urban flood risk in Ho Chi Minh
   City using the Motivation and Ability (MOTA) framework
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Ability; Ho Chi Minh city; Motivation; Retrofitting; Urban flood
ID WATER MANAGEMENT; CITIES
AB Upgrading urban services and maintaining their functionality, such as drainage systems, in a sustainable manner to keep up with the increasing demand and changing needs, like climate adaptation and socio-economic conditions, is a planning, implementation and management challenge. Retrofitting urban infrastructure is a socio-technical process like planned or autonomous adaptation, where the motivation and ability of the stakeholders should be ascertained to avoid implementation bottlenecks. This paper aims at improving the understanding of institutional decision making for implementing retrofitting responses using the Motivation and Abilities (MOTA) framework. Motivation and abilities of the stakeholders to retrofit the urban drainage system in Ho Chi Minh City for maintaining the service levels in a changing climate urbanization were explored. The MOTA scores, based on stakeholder consultation and surveys, were obtained for retrofitting responses. The analysis of MOTA scores revealed that the motivation and ability of the stakeholders differed based on the adaptation objectives for planning and implementing drainage retrofitting responses. Hence it is recommended to use MOTA framework as a practical means to explore the inherent biases and internal processes of various actors to understand and communicate the need to integrate decision making in a sustainable manner.
C1 [Hong Quan Nguyen; Dung Duc Tran; Long Phi Ho; Nguyen Xuan Quang Chau] Viet Nam Natl Univ Ho Chi Minh City VNU HCM, Ctr Water Management & Climate Change WACC, Ho Chi Minh City, Vietnam.
   [Hong Quan Nguyen] Ho Chi Minh City Peoples Comm, Dept Sci & Technol, ICST, Ho Chi Minh City, Vietnam.
   [Radhakrishnan, Mohanasundar; Pathirana, Assela] Delft Inst Water Educ, IHE, Delft, Netherlands.
   [Thi Kim Ngan Bui] Dist 1 People Comm, Div Environm & Resources, Ho Chi Minh City, Vietnam.
   [Viet Thanh Tong] Ho Chi Minh City Peoples Comm, Dept Nat Resources & Environm, Ho Chi Minh City, Vietnam.
   [Luu Trung Phung Huynh] Ho Chi Minh City Peoples Comm, Dept Sci & Technol, Ho Chi Minh City, Vietnam.
   [Thi Thu Trang Ngo] Univ Social Sci & Humanities, VNU HCM, Ho Chi Minh City, Vietnam.
   [Huu Loc Ho] Nguyen Tat Thanh Univ, NTT Hi Tech Inst, Ho Chi Minh City, Vietnam.
   [Huu Loc Ho] Nanyang Technol Univ, Nanyang Environm & Water Res Inst, Singapore, Singapore.
C3 Vietnam National University Ho Chi Minh City (VNUHCM) System; IHE Delft
   Institute for Water Education; Vietnam National University Ho Chi Minh
   City (VNUHCM) System; VNU-HCM University of Social Sciences & Humanities
   (VNUHCM-USSH); Nguyen Tat Thanh University (NTTU); Danish Hydraulic
   Institute (DHI); Nanyang Technological University
RP Ho, HL (corresponding author), Nanyang Technol Univ, Nanyang Environm & Water Res Inst, Singapore, Singapore.
EM hohl@ntu.edu.sg
RI Pathirana, Assela/B-5189-2011; Giang, Nguyen/C-7514-2019; Duc Tran,
   Dung/J-2496-2015
OI Radhakrishnan, Mohanasundar/0000-0003-3785-7713; Nguyen, Hong
   Quan/0000-0001-7685-8191; CHAU, Quang/0000-0002-9597-1787; Duc Tran,
   Dung/0000-0003-2331-4996; ho, loc/0000-0002-8300-6699
FU Ho Chi Minh Department of Science and Technology through the Institute
   for Computational Science and Technology (ICST)
FX The authors acknowledge and appreciate the inputs provided through the
   recent initiative on "Green Infrastructure" supported by the Ho Chi Minh
   Department of Science and Technology through the Institute for
   Computational Science and Technology (ICST). Our appreciation extends to
   all the participants from relevant government agencies whose inputs are
   fundamentals for the study.
CR ADB, 2016, NAT BAS SOL BUILD RE, P175
   Bosomworth K, 2017, ENVIRON SCI POLICY, V76, P23, DOI 10.1016/j.envsci.2017.06.007
   BRESSER RKF, 1988, STRATEGIC MANAGE J, V9, P375, DOI 10.1002/smj.4250090407
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Burton I., 2004, INT C AD SCI MAN POL
   Collier Zachary A., 2017, Environment Systems & Decisions, V37, P241, DOI 10.1007/s10669-017-9651-8
   Dan N., 2017, FINDING EFFECTIVE FL
   Dixon T, 2013, BUILD RES INF, V41, P499, DOI 10.1080/09613218.2013.812432
   EEA, 2016, URB SPRAWL EUR JOINT
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Floyd DL, 2000, J APPL SOC PSYCHOL, V30, P407, DOI 10.1111/j.1559-1816.2000.tb02323.x
   Fogg BJ, 2009, P 4 INT C PERS TECHN, V40, P7, DOI [DOI 10.1145/1541948.1541999, 10.1145/1541948.1541999, DOI 10.1145/1541948]
   Garschagen M, 2015, PAC AFF, V88, P599, DOI 10.5509/2015883599
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Nguyen HQ, 2019, J ENVIRON PLANN MAN, V62, P1603, DOI 10.1080/09640568.2019.1568768
   Klein R. J. T, 2017, WORKING PAPER, P25
   Lawson E., 2014, Flood Recovery, Innovation and Response IV, V184, P113, DOI [DOI 10.2495/FRIAR140101, 10.2495/FRIAR140101, 10.2495/friar140101]
   Liu DS, 2016, NATURE, V537, P307, DOI 10.1038/537307c
   Loc Ho Huu, 2017, Environment Systems & Decisions, V37, P332, DOI 10.1007/s10669-017-9639-4
   Martin DM, 2017, RIVER RES APPL, V33, P586, DOI 10.1002/rra.3103
   OECD, 2016, OECD REP SER, P15
   Pathirana A, 2017, CLIMATIC CHANGE
   Phi HL, 2015, WATER INT, V40, P984, DOI 10.1080/02508060.2015.1101528
   Radhakrishnan M, 2014, 13 INT C URB DRAIN 2
   Radhakrishnan M, 2017, CLIMATIC CHANGE
   Radhakrishnan M, 2018, CITIES, V78, P87, DOI 10.1016/j.cities.2018.01.022
   Radhakrishnan M, 2017, WATER-SUI, V9, DOI 10.3390/w9020129
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Tessler ZD, 2015, SCIENCE, V349, P638, DOI 10.1126/science.aab3574
   UNEP, 2014, AD GAP REP 2014, P68
   United Nations, 2015, No.A/RES/70/1.
   Victoria, 2016, ALL THINGS CONSIDERE
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   Zevenbergen C, 2018, SPONGE CITIES EMERGI, P462
NR 34
TC 40
Z9 40
U1 4
U2 23
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 MAY
PY 2019
VL 47
AR 101465
DI 10.1016/j.scs.2019.101465
PG 10
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 IC9CZ
UT WOS:000471280400018
DA 2025-01-10
ER

PT B
AU van Klinken, RD
   Morin, L
AF van Klinken, Rieks D.
   Morin, Louise
BE Julien, M
   McFadyen, R
   Cullen, J
TI <i>Xanthium occidentale</i> Bertol. - Noogoora burr
SO BIOLOGICAL CONTROL OF WEEDS IN AUSTRALIA
LA English
DT Article; Book Chapter
DE Noogoora burr complex; rust fungus Puccinia xanthii; stem-galling moth
   Epiblema strenuana
ID BIOLOGICAL-CONTROL; HOST-RANGE; STRUMARIUM
AB The annual herb, Xanthium occidentale, Noogoora burr, was one of the first weeds targeted by biocontrol worldwide. In the 1950s it was considered one of the worst weeds in Australia, owing largely to its impact on the wool industry. In Australia it was the focus of major efforts both prior to and following World War II; these resulted in the release of three biocontrol agents, two stem-boring beetles and a seed-feeding fly. In 1974 the rust fungus Puccinia xanthii was introduced through unknown means, and in 1982 the stem-galling moth Epiblema strenuana was released against Parthenium hysterophorus but it also attacked Noogoora burr. The rust caused almost complete control across much of Australia, except in more arid regions and in the wet-dry tropics. The moth may also have provided some control, but the remaining three insects had no impact. Recent work has focused on finding pathogenic rust isolates that are better adapted climatically to conditions in northern Australia, but it has so far not been successful. Nonetheless, the benefits of the biocontrol program (including the rust) were estimated to exceed $A23 million in 2004-05, and Noogoora burr is now considered a relatively minor problem nationally.
C1 [van Klinken, Rieks D.] CSIRO Ecosyst Sci, Brisbane, Qld 4001, Australia.
   [Morin, Louise] CSIRO Ecosyst Sci, Canberra, ACT 2601, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Ecosystem Sciences
RP van Klinken, RD (corresponding author), CSIRO Ecosyst Sci, GPO Box 2583, Brisbane, Qld 4001, Australia.
RI Morin, Louise/B-4822-2009; van Klinken, Rieks/B-1772-2009
OI Morin, Louise/0000-0002-9515-2255; van Klinken,
   Rieks/0000-0002-7578-8977
CR Alcorn J. L., 1975, Queensland Agricultural Journal, V101, P162
   Alcorn J. L., 1976, APPS Newsletter, V5, P33, DOI 10.1071/APP9760033
   ALCORN JL, 1976, T BRIT MYCOL SOC, V66, P365, DOI 10.1016/S0007-1536(76)80078-2
   Chippendale J.F., 1995, Proceedings 8th International Symposium on Biological Control of Weeds, P185
   Farr D.F., 2010, Fungal databases, Systematic Mycology and Microbiology Laboratory
   Goeden R.D., 1995, P565
   Grice AC, 2002, WEEDS SIGNIFICANCE G
   HASAN S, 1974, PANS (Pest Articles and News Summaries), V20, P437
   Hasan S., 1974, Miscellaneous Publications, Commonwealth Institute of Biological Control, P137
   Haseler W. H., 1981, Proceedings of the 5th International Symposium on Biological Control of Weeds., P3
   Hilgendorf J.H., 1982, Bulletin of the Entomological Society of America, V28, P147
   HILGENDORF JH, 1983, ENVIRON ENTOMOL, V12, P404, DOI 10.1093/ee/12.2.404
   Hocking PJ, 1995, BIOL AUSTR WEEDS, V1, P241
   Julien M.H., 1998, Biological Control of Weeds. A World Catalogue of Agents and Their Target Weeds, V4th
   Kelly S. G., 1931, Journal of the Council for Scientific and Industrial Research, Australia, V4, P161
   Liddle MJ, 1986, ECOLOGY EXOTIC ANIMA, P188
   LOVE DORIS, 1959, CANADIAN JOUR BOT, V37, P173
   McFadyen R. E., 1987, Proceedings of the Eighth Australian Weeds Conference, Sydney, New South Wales, Australia, 21-25 September, 1987, P97
   MCMILLAN C, 1973, CAN J BOT, V51, P221, DOI 10.1139/b73-030
   MORIN L, 1993, CAN J BOT, V71, P959, DOI 10.1139/b93-108
   Morin L., 1996, Proceedings of the 9th international symposium on biological control of weeds, Stellenbosch, South Africa, 19-26 January 1996., P385
   Morin L, 1993, THESIS U NEW ENGLAND
   Morin Louise, 1994, Proceedings of the Linnean Society of New South Wales, V114, P133
   Page AP, 2006, TECHNICAL SERIES CRC, V10
   Seier MK, 2009, MYCOL RES, V113, P1271, DOI 10.1016/j.mycres.2009.08.009
   Thorp J.R., 2000, DETERMINATION WEEDS
   Van Klinken RD, 2003, BIOCONTROL SCI TECHN, V13, P139, DOI 10.1080/0958315021000073420
   WAPSHERE AJ, 1974, AUST J AGR RES, V25, P275, DOI 10.1071/AR9740275
   WEAVER SE, 1983, CAN J PLANT SCI, V63, P211, DOI 10.4141/cjps83-021
   WILSON CG, 1993, ENVIRON ENTOMOL, V22, P254, DOI 10.1093/ee/22.1.254
NR 30
TC 5
Z9 5
U1 0
U2 5
PU CSIRO PUBLISHING
PI CLAYTON
PA UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10, CLAYTON, VIC
   3168, AUSTRALIA
BN 978-0-643-10420-4; 978-0-643-09993-7
PY 2012
BP 591
EP 600
PG 10
WC Agronomy; Biotechnology & Applied Microbiology; Ecology; Environmental
   Sciences
WE Book Citation Index – Science (BKCI-S)
SC Agriculture; Biotechnology & Applied Microbiology; Environmental
   Sciences & Ecology
GA BFT35
UT WOS:000321242400073
DA 2025-01-10
ER

PT J
AU Mildrexler, DJ
   Berner, LT
   Law, BE
   Birdsey, RA
   Moomaw, WR
AF Mildrexler, David J.
   Berner, Logan T.
   Law, Beverly E.
   Birdsey, Richard A.
   Moomaw, William R.
TI Protect large trees for climate mitigation, biodiversity, and forest
   resilience
SO CONSERVATION SCIENCE AND PRACTICE
LA English
DT Article
DE aboveground forest carbon; biodiversity; climate change; eastern Oregon;
   large trees
ID CARBON STORAGE; ECOSYSTEM CARBON; PONDEROSA PINE; FIRE SEVERITY;
   UNITED-STATES; LAND; MANAGEMENT; US; CALIFORNIA; OREGON
AB Protecting the climate system requires urgently reducing carbon emissions to the atmosphere and increasing cumulative carbon stocks in natural systems. Recent studies confirm that large trees accumulate and store a disproportionate share of aboveground forest carbon. In the temperate forests of the western United States, a century of intensive logging drastically reduced large-trees and older forest, but some large trees remain. However, recent changes to large tree management policy on National Forest lands east of the Cascade Mountains crest in Oregon and southeastern Washington allows increased harvesting of large-diameter trees (=53 cm or 21 inches) that account for just 3% of all stems, but hold 42% of total aboveground carbon. In this article, we describe synergies with protecting large trees for climate mitigation, biodiversity, and forest resilience goals to shift species composition, reduce fuel loads and stem density, and adapt to climatically driven increases in fire activity in eastern Oregon.
C1 [Mildrexler, David J.] Eastern Oregon Legacy Lands, Joseph, OR USA.
   [Berner, Logan T.] EcoSpatial Serv LLC, Juneau, AK USA.
   [Law, Beverly E.] Oregon State Univ, Forest Ecosyst & Soc, Corvallis, OR USA.
   [Birdsey, Richard A.; Moomaw, William R.] Woodwell Climate Res Ctr, Falmouth, MA USA.
   [Moomaw, William R.] Tufts Univ, Ctr Int Environm & Resource Policy, Fletcher Sch, Medford, MA USA.
   [Mildrexler, David J.] Eastern Oregon Legacy Lands, POB 666, Joseph, OR 97846 USA.
C3 Oregon State University; Tufts University
RP Mildrexler, DJ (corresponding author), Eastern Oregon Legacy Lands, POB 666, Joseph, OR 97846 USA.
EM davidm@eorlegacylands.org
RI Law, Beverly/G-3882-2010
OI Mildrexler, David/0000-0001-8370-8714
FU Eastern Oregon Legacy Lands; OSU Agricultural Research Foundation;
   Rockefeller Brothers Fund; Woodwell Climate Research Center
FX Eastern Oregon Legacy Lands; OSU Agricultural Research Foundation;
   Rockefeller Brothers Fund; Woodwell Climate Research Center
CR [Anonymous], 1993, FOREST ECOSYSTEM MAN
   Bell DM, 2021, FOREST ECOL MANAG, V479, DOI 10.1016/j.foreco.2020.118554
   Berner LT, 2017, BIOGEOSCIENCES, V14, P365, DOI 10.5194/bg-14-365-2017
   Birdsey R, 2006, J ENVIRON QUAL, V35, P1461, DOI 10.2134/jeq2005.0162
   Birdsey RA, 2023, FRONT FOR GLOB CHANG, V5, DOI 10.3389/ffgc.2022.1074508
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   Bull EL, 2005, NORTHWEST SCI, V79, P37
   Bull Evelyn L., 1994, Studies in Avian Biology, V16, P103
   Buotte PC, 2020, ECOL APPL, V30, DOI 10.1002/eap.2039
   Buotte PC, 2019, GLOBAL CHANGE BIOL, V25, P290, DOI 10.1111/gcb.14490
   Campbell JL, 2012, FRONT ECOL ENVIRON, V10, P83, DOI 10.1890/110057
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Davis KT, 2019, ECOGRAPHY, V42, P1, DOI 10.1111/ecog.03836
   De Frenne P, 2019, NAT ECOL EVOL, V3, P744, DOI 10.1038/s41559-019-0842-1
   Delmotte V.M., 2018, SUMMARY POLICYMAKERS, P32
   Depro BM, 2008, FOREST ECOL MANAG, V255, P1122, DOI 10.1016/j.foreco.2007.10.036
   Dilling L., 2013, OPPORTUNITIES CHALLE, P455
   Domec JC, 2004, OECOLOGIA, V141, P7, DOI 10.1007/s00442-004-1621-4
   Dugan AJ, 2017, CLIMATIC CHANGE, V144, P207, DOI 10.1007/s10584-017-2038-5
   Erb KH, 2018, NATURE, V553, P73, DOI 10.1038/nature25138
   Fargione JE, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat1869
   Friedlingstein P, 2019, EARTH SYST SCI DATA, V11, P1783, DOI 10.5194/essd-11-1783-2019
   Gibson L, 2011, NATURE, V478, P378, DOI 10.1038/nature10425
   Griscom BW, 2017, P NATL ACAD SCI USA, V114, P11645, DOI 10.1073/pnas.1710465114
   Henjum M.G., 1994, Interim protection for late-successional forests, fisheries, and watersheds
   Hessburg P. F., 2020, PNWGTR990 USDA FOR S
   Hessburg PF, 2022, FRONT ECOL ENVIRON, V20, P40, DOI 10.1002/fee.2408
   Howard J.L., 2000, Fire Effects Information System
   Hudiburg T, 2009, ECOL APPL, V19, P163, DOI 10.1890/07-2006.1
   Hudiburg TW, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab28bb
   Hurteau MD, 2019, P NATL ACAD SCI USA, V116, P10193, DOI 10.1073/pnas.1905146116
   IPBES, 2021, Scientific Outcome of the IPBES-IPCC Co-Sponsored Workshop on Biodiversity and Climate Change, DOI [10.5281/zenodo.4782538, DOI 10.5281/ZENODO.4659158]
   Irvine J, 2007, GLOBAL CHANGE BIOL, V13, P1748, DOI 10.1111/j.1365-2486.2007.01368.x
   Irvine J, 2004, TREE PHYSIOL, V24, P753, DOI 10.1093/treephys/24.7.753
   James JN, 2018, FOREST ECOL MANAG, V429, P625, DOI 10.1016/j.foreco.2018.07.029
   Johnson C. J., 1992, R6 ERW TP 036 92
   Johnston JD, 2021, FRONT FOR GLOB CHANG, V4, DOI 10.3389/ffgc.2021.653774
   Knapp EE, 2006, INT J WILDLAND FIRE, V15, P37, DOI 10.1071/WF04068
   Krofcheck DJ, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1663
   Law BE, 2022, FRONT FOR GLOB CHANG, V5, DOI 10.3389/ffgc.2022.1028401
   Law BE, 2022, LAND-BASEL, V11, DOI 10.3390/land11050721
   Law BE, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00326-0
   Law BE, 2018, P NATL ACAD SCI USA, V115, P3663, DOI 10.1073/pnas.1720064115
   Law BE, 2011, CARBON MANAG, V2, P73, DOI 10.4155/CMT.10.40
   Lawrence D, 2022, FRONT FOR GLOB CHANG, V5, DOI 10.3389/ffgc.2022.756115
   Leverett RT, 2021, FRONT FOR GLOB CHANG, V4, DOI 10.3389/ffgc.2021.620450
   Lindenmayer DB, 2009, CONSERV LETT, V2, P271, DOI 10.1111/j.1755-263X.2009.00080.x
   Lutz JA, 2018, GLOBAL ECOL BIOGEOGR, V27, P849, DOI 10.1111/geb.12747
   Lutz JA, 2021, ECOL PROCESS, V10, DOI 10.1186/s13717-021-00299-0
   Lutz JA, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036131
   Matthews HD, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00391-z
   McNicol IM, 2018, ECOSYSTEMS, V21, P740, DOI 10.1007/s10021-017-0180-6
   Merschel A, 2019, J FOREST, V117, P128, DOI 10.1093/jofore/fvy085
   Mildrexler DJ, 2018, J APPL METEOROL CLIM, V57, P391, DOI 10.1175/JAMC-D-17-0093.1
   Mildrexler DJ, 2020, FRONT FOR GLOB CHANG, V3, DOI 10.3389/ffgc.2020.594274
   Mitchell SR, 2009, ECOL APPL, V19, P643, DOI 10.1890/08-0501.1
   Moomaw WR, 2019, FRONT FOR GLOB CHANG, V2, DOI 10.3389/ffgc.2019.00027
   Moris JV, 2022, LANDSCAPE ECOL, V37, P2149, DOI 10.1007/s10980-022-01478-w
   North M, 2009, ECOL APPL, V19, P1385, DOI 10.1890/08-1173.1
   Pan YD, 2013, ANNU REV ECOL EVOL S, V44, P593, DOI 10.1146/annurev-ecolsys-110512-135914
   Pellegrini AFA, 2017, ECOL LETT, V20, P307, DOI 10.1111/ele.12725
   Perry DA, 2004, CONSERV BIOL, V18, P913, DOI 10.1111/j.1523-1739.2004.00530.x
   Rose CL, 2001, WILDLIFE-HABITAT RELATIONSHIPS IN OREGON AND WASHINGTON, P580
   Ruefenacht B, 2008, PHOTOGRAMM ENG REM S, V74, P1379, DOI 10.14358/PERS.74.11.1379
   Schoennagel T, 2017, P NATL ACAD SCI USA, V114, P4582, DOI 10.1073/pnas.1617464114
   Simard SW, 2020, FRONT FOR GLOB CHANG, V3, DOI 10.3389/ffgc.2020.00088
   Stenzel JE, 2021, J GEOPHYS RES-BIOGEO, V126, DOI 10.1029/2020JG005815
   Stephenson NL, 2014, NATURE, V507, P90, DOI 10.1038/nature12914
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Teich M, 2022, ECOHYDROLOGY, V15, DOI 10.1002/eco.2414
   Turner DP, 2011, FOREST ECOL MANAG, V262, P1318, DOI 10.1016/j.foreco.2011.06.034
   United States Department of Agriculture (USDA) Forest Service, 2021, FOR PLANS AM FOR MAN
   van Mantgem PJ, 2016, FIRE ECOL, V12, P13, DOI 10.4996/fireecology.1201013
   Vickers D, 2012, TELLUS B, V64, DOI 10.3402/tellusb.v64i0.17159
   Vie J.-C., 2009, Wildlife in a Changing World - An Analysis of the 2008 IUCN Red List of Threatened Species, P180
   Wan ZM, 2014, REMOTE SENS ENVIRON, V140, P36, DOI 10.1016/j.rse.2013.08.027
   Wyatt C. H., 2017, CLIMATE CHANGE VULNE, P331
   Zhou D, 2013, BIOGEOSCIENCES, V10, P3691, DOI 10.5194/bg-10-3691-2013
NR 78
TC 7
Z9 7
U1 15
U2 37
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
EI 2578-4854
J9 CONSERV SCI PRACT
JI Conserv. Sci. Pract.
PD JUL
PY 2023
VL 5
IS 7
AR e12944
DI 10.1111/csp2.12944
EA APR 2023
PG 10
WC Biodiversity Conservation
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation
GA K8QC0
UT WOS:000976131500001
OA gold
DA 2025-01-10
ER

PT J
AU Try, S
   Qin, XS
AF Try, Sophal
   Qin, Xiaosheng
TI Evaluation of Future Changes in Climate Extremes over Southeast Asia
   Using Downscaled CMIP6 GCM Projections
SO WATER
LA English
DT Article
DE CMIP6; climate change; extreme precipitation and temperature; SEA
ID DAILY TEMPERATURE; SUMMER MONSOON; INDO-CHINA; FLOOD; RAINFALL; BANGKOK;
   UNCERTAINTIES; PREDICTION; ENSEMBLE; JAKARTA
AB This study presented an assessment of climate extremes in the Southeast Asia (SEA) region, utilizing downscaled climate projections from the Coupled Model Intercomparison Project Phase 6 (CMIP6) Global Climate Models (GCMs). The study outputs uncovered statistically significant trends indicating a rise in extreme precipitation and temperature events throughout SEA for both the near-term (2021-2060) and long-term (2061-2100) future under both SSP245 and SSP585 scenarios, in comparison to the historical period (1950-2014). Moreover, we investigated the seasonal fluctuations in rainfall and temperature distributions, accentuating the occurrence of drier dry seasons and wetter rainy seasons in particular geographic areas. The focused examination of seven prominent cities in SEA underscored the escalating frequency of extreme rainfall events and rising temperatures, heightening the urban vulnerability to urban flooding and heatwaves. This study's findings enhance our comprehension of potential climate extremes in SEA, providing valuable insights to inform climate adaptation, mitigation strategies, and natural disaster preparedness efforts within the region.
C1 [Try, Sophal; Qin, Xiaosheng] Nanyang Technol Univ, Sch Civil & Environm Engn, 50 Nanyang Ave, Singapore 639798, Singapore.
C3 Nanyang Technological University
RP Qin, XS (corresponding author), Nanyang Technol Univ, Sch Civil & Environm Engn, 50 Nanyang Ave, Singapore 639798, Singapore.
EM trysophal001@gmail.com; xsqin@ntu.edu.sg
RI XIAOSHENG, QIN/A-3803-2011
FU Ministry of Education, Singapore [RG72/22, MOE-MOET32022-0006]
FX This research is supported by the Ministry of Education, Singapore,
   under its MOE Academic Research Fund Tier 1 (Grant No. RG72/22). This
   research is also supported in part by the Ministry of Education,
   Singapore, under its MOE Academic Research Fund Tier 3, Award number
   MOE-MOET32022-0006. Any opinions, findings, conclusions, or
   recommendations expressed in this material are those of the authors and
   do not reflect the views of the Ministry of Education, Singapore.
   Climate scenarios used were from the NEX-GDDP-CMIP6 dataset, prepared by
   the Climate Analytics Group and NASA Ames Research Center using the NASA
   Earth Exchange and distributed by the NASA Center for Climate Simulation
   (NCCS).
CR Adeyeri OE, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-25265-4
   [Anonymous], 2015, MRC Annual Mekong Flood Report 2011
   Bhuiyan TR, 2019, COMM ENV DISAST RISK, V20, P79, DOI 10.1108/S2040-726220180000020016
   Bourdeau-Goulet SC, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF001995
   Budiyono Y, 2016, NAT HAZARD EARTH SYS, V16, P757, DOI 10.5194/nhess-16-757-2016
   Chen HP, 2020, SCI BULL, V65, P1415, DOI 10.1016/j.scib.2020.05.015
   Chen MY, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009132
   Chhin R, 2020, CLIMATIC CHANGE, V162, P687, DOI 10.1007/s10584-020-02850-y
   Chhin R, 2018, J GEOPHYS RES-ATMOS, V123, P8949, DOI 10.1029/2017JD028026
   Demirel MC, 2018, HYDROL EARTH SYST SC, V22, P1299, DOI 10.5194/hess-22-1299-2018
   Desmet Q, 2022, INT J CLIMATOL, V42, P97, DOI 10.1002/joc.7234
   Dutta D, 2011, HYDROLOG SCI J, V56, P805, DOI 10.1080/02626667.2011.585611
   Duy PN, 2018, J URBAN PLAN DEV, V144, DOI 10.1061/(ASCE)UP.1943-5444.0000419
   Endo N, 2009, SOLA, V5, P168, DOI 10.2151/sola.2009-043
   Faostat F., 2017, Statistical Database
   Garcia FCC, 2015, TENCON IEEE REGION
   Ge F, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd7ad
   Ge F, 2017, THEOR APPL CLIMATOL, V128, P523, DOI 10.1007/s00704-015-1729-y
   Giorgi F, 2000, GEOPHYS RES LETT, V27, P1295, DOI 10.1029/1999GL011016
   Haile AT, 2013, HYDROL PROCESS, V27, P1829, DOI 10.1002/hyp.9330
   Hariadi MH, 2023, INT J CLIMATOL, V43, P1639, DOI 10.1002/joc.7938
   Heng S., 2021, Water Secur. Asia, P687, DOI [10.1007/978-3-319-54612-451, DOI 10.1007/978-3-319-54612-451]
   Iqbal Z, 2021, ATMOS RES, V254, DOI 10.1016/j.atmosres.2021.105525
   Kim IW, 2019, CLIM DYNAM, V52, P1317, DOI 10.1007/s00382-018-4193-4
   Le PVV, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-39463-9
   Liu SF, 2023, J HYDROL, V621, DOI 10.1016/j.jhydrol.2023.129593
   Luo PP, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-30024-5
   Ly S, 2023, PROG EARTH PLANET SC, V10, DOI 10.1186/s40645-023-00586-8
   Lagmay AM, 2017, J ENVIRON SCI-CHINA, V59, P39, DOI 10.1016/j.jes.2017.03.004
   Mandapaka PV, 2018, INT J CLIMATOL, V38, P5231, DOI 10.1002/joc.5724
   MASSEY FJ, 1951, J AM STAT ASSOC, V46, P68, DOI 10.2307/2280095
   McKinnon KA, 2016, NAT GEOSCI, V9, P389, DOI [10.1038/NGEO2687, 10.1038/ngeo2687]
   Murphy JM, 2004, NATURE, V430, P768, DOI 10.1038/nature02771
   Noor M, 2019, HYDROL RES, V50, P1772, DOI 10.2166/nh.2019.097
   Pearson K., 1948, Early Statistical Papers, P1
   Peng SL, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-022-27357-7
   Phanuwan C, 2006, WATER SCI TECHNOL, V54, P203, DOI 10.2166/wst.2006.470
   Qin XS, 2022, J HYDROL, V606, DOI 10.1016/j.jhydrol.2021.127421
   Reeder G, 2019, URBAN BOOK SERIES, P103, DOI 10.1007/978-3-319-98968-6_6
   Rendana M., 2023, Geol. Ecol. Landsc, DOI [10.1080/24749508.2023.2205717, DOI 10.1080/24749508.2023.2205717]
   Rettie FM, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02337-2
   Roberts NM, 2008, MON WEATHER REV, V136, P78, DOI 10.1175/2007MWR2123.1
   Rummukainen M, 2010, WIRES CLIM CHANGE, V1, P82, DOI 10.1002/wcc.8
   Sayama T, 2015, NAT HAZARD EARTH SYS, V15, P1617, DOI 10.5194/nhess-15-1617-2015
   Seneviratne SI, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001474
   Singh V.P., 1998, Entropy-Based Parameter Estimation in Hydrology, P169
   Singh V, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2019.124320
   Skliris N, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.926568
   Sun QH, 2018, REV GEOPHYS, V56, P79, DOI 10.1002/2017RG000574
   Sunilkumar K, 2019, EARTH SPACE SCI, V6, P1321, DOI 10.1029/2018EA000503
   Supari, 2020, ENVIRON RES, V184, DOI 10.1016/j.envres.2020.109350
   Supharatid S, 2022, J WATER CLIM CHANGE, V13, P337, DOI 10.2166/wcc.2021.015
   Takahashi HG, 2008, J METEOROL SOC JPN, V86, P429, DOI 10.2151/jmsj.86.429
   Thanvisitthpon N, 2018, ENVIRON URBAN ASIA, V9, P86, DOI 10.1177/0975425317748532
   Thrasher B, 2012, HYDROL EARTH SYST SC, V16, P3309, DOI 10.5194/hess-16-3309-2012
   Thrasher B, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01393-4
   Thuon T, 2019, URBAN BOOK SERIES, P127, DOI 10.1007/978-3-319-98968-6_7
   Try S, 2023, J HYDROL-REG STUD, V49, DOI 10.1016/j.ejrh.2023.101508
   Try S, 2022, J HYDROL-REG STUD, V40, DOI 10.1016/j.ejrh.2022.101035
   Try S, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0226814
   Vachaud G, 2019, J HYDROL, V573, P1021, DOI 10.1016/j.jhydrol.2018.02.044
   Wang B, 2001, J CLIMATE, V14, P4073, DOI 10.1175/1520-0442(2001)014<4073:IVOTAS>2.0.CO;2
   Wood AW, 2004, CLIMATIC CHANGE, V62, P189, DOI 10.1023/B:CLIM.0000013685.99609.9e
   Worawiwat A, 2021, J HYDROL X, V13, DOI 10.1016/j.hydroa.2021.100095
   Wu YH, 2024, J ENVIRON INFORM, V44, P140, DOI 10.3808/jei.202400522
   Yatagai A, 2012, B AM METEOROL SOC, V93, P1401, DOI 10.1175/BAMS-D-11-00122.1
   Zhang XB, 2011, WIRES CLIM CHANGE, V2, P851, DOI 10.1002/wcc.147
   Zin WW, 2018, J DISASTER RES, V13, P14
   Zoleta-Nantes D.B., 2007, Soc. Sci. Diliman, V1, P60
NR 69
TC 0
Z9 0
U1 14
U2 14
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD AUG
PY 2024
VL 16
IS 15
AR 2207
DI 10.3390/w16152207
PG 20
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA C1N4K
UT WOS:001287096400001
OA gold
DA 2025-01-10
ER

PT J
AU Roy, A
   Mallick, TK
   Tahir, AA
AF Roy, Anurag
   Mallick, Tapas K.
   Tahir, Asif Ali
TI An optimal climate-adaptable hydrogel-filled smart window for the
   energy-saving built environment
SO JOURNAL OF MATERIALS CHEMISTRY C
LA English
DT Article
AB It is highly desirable to secure the net-zero targets by employing sustainable building materials that can store and release their energy depending on the weather. Conspicuously, windows can play a pivotal role in controlling the energy used in the building by reducing the use of energy-consuming areas that devour massive energy for air conditioning or heating appliances. Presently, the comfort performance of window materials is reaching its storage and processing limit, causing a significant push to find smart materials that can be used in the next generation of the built environment. An innovative solution for sustainable glazing has established an understanding of pH-temperature-transparency modulation. This work uses a hydroxypropyl cellulose and polyacrylic acid-based hydrogel as a rational energy stimulus for double-glazed windows, enriching a comfortable indoor daylight environment without sacrificing aesthetic appeal. The hydrogel maintains thermal comfort across various outdoor temperatures from 4 degrees C to 60 degrees C. The developed hydrogel-filled prototype glazing's indoor thermal comfort performance and durability were analsyzed, where the hydrogel intermolecular gap and porosity play a pivotal role across various pHs.
C1 [Roy, Anurag; Mallick, Tapas K.; Tahir, Asif Ali] Univ Exeter, Environm & Sustainabil Inst, Fac Environm Sci & Econ, Penryn TR10 9FE, Cornwall, England.
C3 University of Exeter
RP Roy, A; Tahir, AA (corresponding author), Univ Exeter, Environm & Sustainabil Inst, Fac Environm Sci & Econ, Penryn TR10 9FE, Cornwall, England.
EM a.roy30@exeter.ac.uk; a.tahir@exeter.ac.uk
RI Mallick, Tapas/ABE-6357-2020; Roy, Anurag/AAA-6065-2022; ROY,
   ANURAG/H-4438-2015; TAHIR, ASIF ALI/A-2515-2014
OI ROY, ANURAG/0000-0002-2097-9442; TAHIR, ASIF ALI/0000-0003-1985-6127
FU Engineering and Physical Sciences Research Council (EPSRC), UK
   [EP/T025875/1, EP/V049046/1]; EPSRC [EP/T025875/1, EP/V049046/1] Funding
   Source: UKRI
FX This work was funded by the Engineering and Physical Sciences Research
   Council (EPSRC), UK, under research grant numbers EP/T025875/1 and
   EP/V049046/1. However, EPSRC was not directly involved in the writing of
   this article. The authors acknowledge the help rendered for the ATR
   characterization by Prof. Francesca Palombo, Associate Professor of
   Biomedical Spectroscopy, University of Exeter, Streatham Campus, UK. The
   authors would also like to acknowledge Dr Ellen Green, Unit of Activity
   Manager Biophysics, College of Engineering, Mathematics and Physical
   Sciences, University of Exeter, Streatham Campus, UK, for her assistance
   in the Raman spectroscopy characterization. The authors are also
   thankful to Dr Yusuf Chanchangi, Postdoctoral Researcher, University of
   Exeter, Penryn Campus, UK, for his help in 3D printing.
CR Adar F, 2016, SPECTROSCOPY-US, V31, P22
   Agarwal UP, 2019, MOLECULES, V24, DOI 10.3390/molecules24091659
   Bhattacharyya Abir, 2020, Biotribology, V22, DOI 10.1016/j.biotri.2020.100125
   Cao D, 2018, SOL RRL, V2, DOI 10.1002/solr.201700219
   Eklund A, 2020, ADV FUNCT MATER, V30, DOI 10.1002/adfm.202000754
   Feng YQ, 2022, MOLECULES, V27, DOI 10.3390/molecules27051638
   Guan Y, 2009, SOFT MATTER, V5, P842, DOI 10.1039/b815913k
   Guo YH, 2020, CHEM REV, V120, P7642, DOI 10.1021/acs.chemrev.0c00345
   Heidarian P, 2020, CARBOHYD POLYM, V231, DOI 10.1016/j.carbpol.2019.115743
   Hong SN, 2020, MATER CHEM PHYS, V250, DOI 10.1016/j.matchemphys.2020.123146
   Li XH, 2019, JOULE, V3, P290, DOI 10.1016/j.joule.2018.10.019
   Lin CJ, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abn7359
   Lu XH, 2002, MACROMOLECULES, V35, P9164, DOI 10.1021/ma0208842
   Martin-Pastor M, 2020, J POLYM SCI, V58, P1632, DOI 10.1002/pol.20200185
   Nakamura A, 2021, SOL ENERG MAT SOL C, V232, DOI 10.1016/j.solmat.2021.111348
   Nakamura C, 2019, IND ENG CHEM RES, V58, P6424, DOI 10.1021/acs.iecr.9b00407
   Rohowsky J, 2016, CARBOHYD POLYM, V142, P56, DOI 10.1016/j.carbpol.2015.12.060
   Roy A, 2022, ACS SUSTAIN CHEM ENG, V10, P6609, DOI 10.1021/acssuschemeng.2c00260
   Roy A, 2022, CONSTR BUILD MATER, V331, DOI 10.1016/j.conbuildmat.2022.127319
   Runnerstrom EL, 2014, CHEM COMMUN, V50, P10555, DOI 10.1039/c4cc03109a
   Seddiqi H, 2021, CELLULOSE, V28, P1893, DOI 10.1007/s10570-020-03674-w
   Sennakesavan G, 2020, POLYM DEGRAD STABIL, V180, DOI 10.1016/j.polymdegradstab.2020.109308
   Serpe MJ, 2019, NATURE, V565, P438, DOI 10.1038/d41586-019-00084-2
   Stuart MAC, 2010, NAT MATER, V9, P101, DOI [10.1038/NMAT2614, 10.1038/nmat2614]
   Wang XJ, 2021, FRONT ENERGY RES, V9, DOI 10.3389/fenrg.2021.800382
   Wei W, 2021, RENEW SUST ENERG REV, V142, DOI 10.1016/j.rser.2021.110859
   Wu MC, 2018, ACS APPL MATER INTER, V10, P39819, DOI 10.1021/acsami.8b15574
   Xin FF, 2018, EUR POLYM J, V99, P65, DOI 10.1016/j.eurpolymj.2017.12.008
   Xu G, 2022, ADV FUNCT MATER, V32, DOI 10.1002/adfm.202109597
   Yang YS, 2017, RSC ADV, V7, P7758, DOI 10.1039/c6ra24686a
   Yang YS, 2016, RSC ADV, V6, P61449, DOI 10.1039/c6ra12454b
   Yao RS, 2011, J NANOMATER, V2011, DOI 10.1155/2011/507542
   Youngblood N, 2022, ACS PHOTONICS, V9, P90, DOI 10.1021/acsphotonics.1c01128
   Zhang J, 2022, J THERM ANAL CALORIM, V147, P7729, DOI 10.1007/s10973-021-11082-w
   Zhang LM, 2022, CERAM INT, V48, P37122, DOI 10.1016/j.ceramint.2022.08.288
   Zhang LM, 2021, ACS APPL ENERG MATER, V4, P9783, DOI 10.1021/acsaem.1c01854
   Zhang R, 2021, J MATER CHEM A, V9, P17481, DOI 10.1039/d1ta03917b
   Zhang XJ, 2019, CARBOHYD POLYM, V215, P58, DOI 10.1016/j.carbpol.2019.03.066
   Zhou Y, 2020, JOULE, V4, P2458, DOI 10.1016/j.joule.2020.09.001
   Zhou Y, 2020, J MATER CHEM A, V8, P10007, DOI 10.1039/d0ta00849d
   Zhou Y, 2014, J MATER CHEM A, V2, P13550, DOI 10.1039/c4ta02287d
NR 41
TC 5
Z9 5
U1 4
U2 30
PU ROYAL SOC CHEMISTRY
PI CAMBRIDGE
PA THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS,
   ENGLAND
SN 2050-7526
EI 2050-7534
J9 J MATER CHEM C
JI J. Mater. Chem. C
PD OCT 27
PY 2022
VL 10
IS 41
BP 15474
EP 15482
DI 10.1039/d2tc03254f
EA SEP 2022
PG 9
WC Materials Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Materials Science; Physics
GA 5R9WC
UT WOS:000862301500001
OA hybrid, Green Published
DA 2025-01-10
ER

PT B
AU Okemo, P
   Wijesundra, U
   Nakandala, U
   Ananda, GKS
   Vanambathina, P
   Hasan, S
   Abdulla, M
   Sharma, P
   Manatunga, S
   Pazhany, A
   Masouleh, AK
   Nath, O
   Mitter, N
   Furtado, A
   Henry, RJ
AF Okemo, Pauline
   Wijesundra, Upendra
   Nakandala, Upuli
   Ananda, Galaihalage K. S.
   Vanambathina, Prameela
   Hasan, Sharmin
   Abdulla, Muhammad
   Sharma, Priyanka
   Manatunga, Sachini
   Pazhany, Adhini
   Masouleh, Ardy Kharabian
   Nath, Onkar
   Mitter, Neena
   Furtado, Agnelo
   Henry, Robert J.
BE Bayer, PE
   Edwards, D
TI The Use of Genome Sequencing to Improve Crops for Tropical Agriculture
SO NEXT-GENERATION SEQUENCING AND AGRICULTURE
SE CABI Biotechnology Series
LA English
DT Article; Book Chapter
ID COMPLETE CHLOROPLAST GENOME; COMPLETE NUCLEOTIDE-SEQUENCE; WATER-DEFICIT
   STRESS; MITOCHONDRIAL GENOME; GENE-EXPRESSION;
   PHYLOGENETIC-RELATIONSHIPS; TRANSCRIPTION FACTORS; PROVIDE INSIGHTS;
   PINEAPPLE GENOME; CASSAVA GENOME
AB Agriculture in the tropical world faces many challenges because of growing populations and environmental degradation. Climate change is exacerbating these problems but also extending them to a wider range of environments globally. Tropical crops may be increasingly suitable for regions much further from the equator. Many tropical crops have not had the long history of research investment that has supported the major crops from temperate regions. As genome sequencing technology has advanced rapidly in recent years it has been applied to many tropical species that have not been well researched in the past. Advances in genome sequencing can be viewed as providing an opportunity for our understanding of the biology and breeding of tropical crop plants to catch up with that for better-studied species. Genomics provides a platform that can be used to support germplasm analysis and conservation, climate adaptation, improvement of crop performance, and food nutritional and functional quality.
C1 [Okemo, Pauline; Wijesundra, Upendra; Nakandala, Upuli; Ananda, Galaihalage K. S.; Vanambathina, Prameela; Hasan, Sharmin; Abdulla, Muhammad; Sharma, Priyanka; Manatunga, Sachini; Pazhany, Adhini; Masouleh, Ardy Kharabian; Nath, Onkar; Mitter, Neena; Furtado, Agnelo; Henry, Robert J.] Univ Queensland, Queensland Alliance Agr & Food Innovat, Brisbane, Qld 4072, Australia.
   [Henry, Robert J.] Univ Queensland, ARC Ctr Excellence Plant Success Nat & Agr, Brisbane, Qld 4072, Australia.
C3 University of Queensland; University of Queensland; ARC Centre of
   Excellence for Plant Success in Nature & Agriculture
RP Henry, RJ (corresponding author), Univ Queensland, Queensland Alliance Agr & Food Innovat, Brisbane, Qld 4072, Australia.; Henry, RJ (corresponding author), Univ Queensland, ARC Ctr Excellence Plant Success Nat & Agr, Brisbane, Qld 4072, Australia.
EM o.asami@uq.edu.au; w.wijesundara@uq.edu.au; u.nakandala@uq.edu.au;
   k.ananda@uq.edu.au; p.vanambathina@uq.edu.au; sharmin.hasan@uq.edu.au;
   muhammad.abdullah@uq.edu.au; priyanka.sharma@uq.edu.au;
   m.manatunga@uq.net.au; a.pazhany@uq.edu.au;
   a.kharabianmasouleh@uq.edu.au; o.nath@uq.edu.au; n.mitter@uq.edu.au;
   a.furtado@uq.edu.au; robert.henry@uq.edu.au
RI Nath, Onkar/GPX-3727-2022; Henry, Robert/B-5824-2008; mitter,
   neena/D-1862-2013
OI mitter, neena/0000-0001-6146-6179; Okemo, Pauline/0000-0003-2594-1336;
   Nath, Onkar/0000-0002-6348-364X
CR Ahmadi N, 2014, RICE, V7, DOI 10.1186/s12284-014-0029-y
   Ahsan MU, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00729
   Ananda G, 2021, PLANT GENOME-US, V14, DOI 10.1002/tpg2.20123
   Ananda GKS, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.01108
   Anjanappa RB, 2018, MOL PLANT PATHOL, V19, P476, DOI 10.1111/mpp.12565
   [Anonymous], 2013, Save and grow cassava: a guide to sustainable production and identification
   Arumuganathan K., 1991, Plant Mol Biol Rep, V9, P208, DOI [10.1007/BF02672069, DOI 10.1007/BF02672069]
   Asaf S, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00304
   Asano T, 2004, DNA RES, V11, P93, DOI 10.1093/dnares/11.2.93
   Azim MK, 2014, PLANT MOL BIOL, V85, P193, DOI 10.1007/s11103-014-0179-8
   Bahariah B, 2021, J GENET ENG BIOTECHN, V19, DOI 10.1186/s43141-021-00185-4
   Bai FX, 2014, ACTA PHYSIOL PLANT, V36, P3207, DOI 10.1007/s11738-014-1687-5
   Bally ISE, 2021, BMC PLANT BIOL, V21, DOI 10.1186/s12870-021-02858-1
   Bausher MG, 2006, BMC PLANT BIOL, V6, DOI 10.1186/1471-2229-6-21
   de Andrade LRB, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0224920
   Brar DS, 2018, COMPEND PL GENOME, P1, DOI 10.1007/978-3-319-71997-9_1
   Bredeson JV, 2016, NAT BIOTECHNOL, V34, P562, DOI 10.1038/nbt.3535
   Butler JB, 2018, HEREDITY, V121, P87, DOI 10.1038/s41437-018-0058-1
   Byrt CS, 2011, J INTEGR PLANT BIOL, V53, P120, DOI 10.1111/j.1744-7909.2010.01023.x
   Carbonell-Caballero J, 2015, MOL BIOL EVOL, V32, P2015, DOI 10.1093/molbev/msv082
   Carson DL, 2000, CROP SCI, V40, P1769, DOI 10.2135/cropsci2000.4061769x
   Castillo MC, 2013, ANN BOT-LONDON, V112, P1371, DOI 10.1093/aob/mct211
   Ceballos H, 2016, FRONT PLANT SCI, V7, DOI [10.3359/fpls.2016.01227, 10.3389/fpls.2016.01227]
   Chabikwa TG, 2020, SCI DATA, V7, DOI 10.1038/s41597-019-0350-9
   Chandrasekaran J, 2016, MOL PLANT PATHOL, V17, P1140, DOI 10.1111/mpp.12375
   Chen H, 2008, J HERED, V99, P382, DOI 10.1093/jhered/esn016
   Chen HF, 2009, J HERED, V100, P56, DOI 10.1093/jhered/esn068
   Chen HM, 2007, EUPHYTICA, V157, P113, DOI 10.1007/s10681-007-9400-z
   Cheng B, 2020, J EXP BOT, V71, P4201, DOI 10.1093/jxb/eraa151
   Cheng B, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-29842-4
   Cheng B, 2017, GIGASCIENCE, V6, DOI 10.1093/gigascience/gix086
   Cheng B, 2016, TRENDS FOOD SCI TECH, V57, P20, DOI 10.1016/j.tifs.2016.09.003
   Cheng HY, 2021, NAT METHODS, V18, P170, DOI 10.1038/s41592-020-01056-5
   Cooper T, 2015, ACTA HORTIC, V1101, P177, DOI 10.17660/ActaHortic.2015.1101.27
   Cordeiro G., 2007, Pulses, sugar and tuber crops, P175
   Cowan MF, 2020, ENVIRON EXP BOT, V169, DOI 10.1016/j.envexpbot.2019.103884
   D'Hont A, 2012, NATURE, V488, P213, DOI 10.1038/nature11241
   Daniell H, 2008, THEOR APPL GENET, V116, P723, DOI 10.1007/s00122-007-0706-y
   Dautt-Castro M, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00062
   De las Rivas J, 2002, GENOME RES, V12, P567, DOI 10.1101/gr.209402
   De Souza AP, 2008, PLANT CELL ENVIRON, V31, P1116, DOI 10.1111/j.1365-3040.2008.01822.x
   Denoeud F, 2014, SCIENCE, V345, P1181, DOI 10.1126/science.1255274
   Deshpande AB, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-08499-5
   Dillon N., 2016, PLANT ANIMAL GENOME
   Dillon SL, 2007, PLANT SYST EVOL, V268, P29, DOI 10.1007/s00606-007-0571-9
   Dinesh MR, 2011, WILD CROP RELATIVES: GENOMIC AND BREEDING RESOURCES - TROPICAL AND SUBTROPICAL FRUITS, P61, DOI 10.1007/978-3-642-20447-0_4
   Dong HH, 2020, BMC GENET, V21, DOI 10.1186/s12863-020-00926-3
   Evans DL, 2019, PEERJ, V7, DOI 10.7717/peerj.7558
   Ferreira SD, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-6-210
   Fu XZ, 2013, BIOMED RES INT-UK, V2013, DOI 10.1155/2013/918136
   Garsmeur O, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05051-5
   Gleadow RM, 2016, FIELD CROP RES, V185, P97, DOI 10.1016/j.fcr.2015.10.010
   Gleadow RM, 2014, ANNU REV PLANT BIOL, V65, P155, DOI 10.1146/annurev-arplant-050213-040027
   Gmitter F. G. Jr., 2007, Fruits and nuts, P265
   GMITTER FG, 1990, ECON BOT, V44, P267, DOI 10.1007/BF02860491
   Gomez MA, 2019, PLANT BIOTECHNOL J, V17, P421, DOI 10.1111/pbi.12987
   Gong XQ, 2013, PLANT CELL TISS ORG, V113, P137, DOI 10.1007/s11240-012-0267-x
   Gruezo W., 1992, Plant Resources of South-East Asia No.2: Edible Fruits and Nuts, P203
   Guyeux C, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0216347
   Ha J, 2021, PLANT GENOME-US, V14, DOI 10.1002/tpg2.20121
   Hardner C. M., 2009, Horticultural Reviews, V35, P1
   Hardner C, 2016, GENET RESOUR CROP EV, V63, P1411, DOI 10.1007/s10722-015-0328-1
   Healey A, 2018, AUST J BOT, V66, P369, DOI 10.1071/BT18028
   Healey AL, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02009-0
   Heaton EA, 2010, ADV BOT RES, V56, P75, DOI 10.1016/S0065-2296(10)56003-8
   HIRATSUKA J, 1989, MOL GEN GENET, V217, P185, DOI 10.1007/BF02464880
   Hoang NV, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-017-3757-8
   Huang XH, 2013, TRENDS GENET, V29, P225, DOI 10.1016/j.tig.2012.12.001
   Huang Y, 2021, HORTIC RES-ENGLAND, V8, DOI 10.1038/s41438-021-00505-2
   Ibarra-Laclette E, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1775-y
   Iyer C.P A., 1997, The Mango. Botany, Production, P49
   Jiao KY, 2016, MOL BREEDING, V36, DOI 10.1007/s11032-016-0552-1
   Jo S, 2017, MITOCHONDRIAL DNA B, V2, P698, DOI 10.1080/23802359.2017.1390407
   Júnior TC, 2004, CURR GENET, V46, P366, DOI 10.1007/s00294-004-0542-4
   Kaila T, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01847
   Kandpal M, 2020, FRONT GENET, V11, DOI 10.3389/fgene.2020.584678
   Kang YJ, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6443
   Kasirajan L, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-30033-4
   Kawahara Y, 2013, RICE, V6, DOI 10.1186/1939-8433-6-4
   Kayondo SI, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-19696-1
   Kilaru A, 2015, BMC PLANT BIOL, V15, DOI 10.1186/s12870-015-0586-2
   Kim SK, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00626
   Kim YA, 2019, RICE, V12, DOI 10.1186/s12284-019-0325-7
   Kittipadakul P, 2020, CROP BREED GENET GEN, DOI [10.20900/cbgg20200008, DOI 10.20900/CBGG20200008]
   Kostermans A.J.G.H., 1993, The mangoes: their botany, nomenclature, horticulture and utilization
   LAZARIDES M, 1991, Australian Systematic Botany, V4, P591, DOI 10.1071/SB9910591
   Lee E, 2021, FRONT GENET, V12, DOI 10.3389/fgene.2021.642518
   Li PH, 2020, J AGR FOOD CHEM, V68, P11389, DOI 10.1021/acs.jafc.0c04075
   Li SB, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10040668
   Li W, 2020, bioRxiv, DOI [10.1101/2020.02.22.960880, 10.1101/2020.02.22.960880, DOI 10.1101/2020.02.22.960880]
   Li YY, 2019, BMC GENOMICS, V20, DOI 10.1186/s12864-019-5988-3
   Liang YY, 2021, AOB PLANTS, V13, DOI 10.1093/aobpla/plab043
   Liao WB, 2016, SCI REP-UK, V6, DOI 10.1038/srep21542
   Lin CP, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0129396
   Lin WJ, 2016, J AGR FOOD CHEM, V64, P6648, DOI 10.1021/acs.jafc.6b03015
   Liu B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028516
   Liu CY, 2016, J GENET, V95, P527, DOI 10.1007/s12041-016-0663-9
   Liu J, 2018, MITOCHONDRIAL DNA B, V3, P1276, DOI 10.1080/23802359.2018.1532836
   Liu J, 2018, MITOCHONDRIAL DNA B, V3, P962, DOI 10.1080/23802359.2018.1507647
   Liu J, 2017, MITOCHONDRIAL DNA B, V2, P738, DOI 10.1080/23802359.2017.1390401
   Liu Q, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0104933
   Liu XL, 2020, MITOCHONDRIAL DNA B, V5, P3407, DOI 10.1080/23802359.2020.1820395
   Luria N, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-957
   Ma ZF, 2021, IN VITRO CELL DEV-PL, V57, P700, DOI 10.1007/s11627-021-10203-2
   Mace ES, 2009, BMC PLANT BIOL, V9, DOI 10.1186/1471-2229-9-13
   Mallikarjuna N, 2011, WILD CROP RELATIVES: GENOMIC AND BREEDING RESOURCES: LEGUME CROPS AND FORAGES, P21, DOI 10.1007/978-3-642-14387-8_2
   Mast AR, 2008, AM J BOT, V95, P843, DOI 10.3732/ajb.0700006
   McNally KL, 2009, P NATL ACAD SCI USA, V106, P12273, DOI 10.1073/pnas.0900992106
   Ming R, 2016, TRENDS GENET, V32, P690, DOI 10.1016/j.tig.2016.08.008
   Ming R, 2015, NAT GENET, V47, P1435, DOI 10.1038/ng.3435
   Mir RR, 2014, THEOR APPL GENET, V127, P2663, DOI 10.1007/s00122-014-2406-8
   Moner AM, 2020, BMC PLANT BIOL, V20, DOI 10.1186/s12870-020-02689-6
   Mukherjee S. K., 1949, Science and Culture, V15, P5
   Murigneux V, 2020, GIGASCIENCE, V9, DOI 10.1093/gigascience/giaa146
   Myburg AA, 2014, NATURE, V510, P356, DOI 10.1038/nature13308
   Neilson EH, 2015, J EXP BOT, V66, P1817, DOI 10.1093/jxb/eru526
   Ngugi-Dawit A, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10040517
   Niu Y.-F., 2020, bioRxiv, V2020, DOI [10.1101/2020.03.11.987057, DOI 10.1101/2020.03.11.987057, 10.1101/ 2020.03.11.987057]
   Niu YF, 2021, PEERJ, V9, DOI 10.7717/peerj.10774
   Njaci I, 2021, INT J MOL SCI, V22, DOI 10.3390/ijms22010309
   Nock CJ, 2020, G3-GENES GENOM GENET, V10, P3497, DOI 10.1534/g3.120.401326
   Nock CJ, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-3272-3
   Nock CJ, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-S9-S13
   Notsu Y, 2002, MOL GENET GENOMICS, V268, P434, DOI 10.1007/s00438-002-0767-1
   Nzuki I, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01168
   Ochieng JW, 2007, MOL PHYLOGENET EVOL, V44, P752, DOI 10.1016/j.ympev.2007.04.017
   Odipio J, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01780
   Osuna-Mascaro C, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-35654-3
   Papini-Terzi FS, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-120
   PARIDA A, 1990, GENETICA, V82, P125, DOI 10.1007/BF00124642
   Parra-O C, 2009, AUST SYST BOT, V22, P384, DOI 10.1071/SB09028
   Paterson A. H., 2010, Genetics, genomics and breeding of sugarcane, P149
   Paterson AH, 2009, NATURE, V457, P551, DOI 10.1038/nature07723
   Patil PG, 2017, J APPL GENET, V58, P307, DOI 10.1007/s13353-017-0400-y
   Arce-Leal AP, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8040528
   Pazhamala L, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00050
   Pazhamala LT, 2017, J EXP BOT, V68, P2037, DOI 10.1093/jxb/erx010
   Peng Z, 2020, PLANT J, V104, P1215, DOI 10.1111/tpj.14993
   Pereira LG, 2015, BIORESOURCE TECHNOL, V190, P242, DOI 10.1016/j.biortech.2015.04.095
   Prochnik S, 2012, TROP PLANT BIOL, V5, P88, DOI 10.1007/s12042-011-9088-z
   PUNDIR RPS, 1987, EUPHYTICA, V36, P33, DOI 10.1007/BF00730644
   Ramu P, 2017, NAT GENET, V49, P959, DOI 10.1038/ng.3845
   Rao NK, 2003, GENET RESOUR CROP EV, V50, P707, DOI 10.1023/A:1025055018954
   Rathinam M, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0218731
   Rawat N, 2017, HORTIC RES-ENGLAND, V4, DOI 10.1038/hortres.2017.64
   Rendón-Anaya M, 2019, P NATL ACAD SCI USA, V116, P17081, DOI 10.1073/pnas.1822129116
   Rodriguez-Uribe L, 2006, J EXP BOT, V57, P1391, DOI 10.1093/jxb/erj118
   Ruan MB, 2017, J EXP BOT, V68, P3657, DOI 10.1093/jxb/erx202
   Rubinstein M, 2019, BMC GENOMICS, V20, DOI 10.1186/s12864-019-5672-7
   Saxena KB, 2018, EUPHYTICA, V214, DOI 10.1007/s10681-018-2298-9
   Saxena KB, 2010, J HERED, V101, P497, DOI 10.1093/jhered/esq028
   Saxena RK, 2018, PLANT GENOME-US, V11, DOI 10.3835/plantgenome2018.01.0005
   Schaffer B., 2013, The avocado: botany, production and uses, DOI 10.1079/9781845937010.0000
   Schnell RJ, 2006, J AM SOC HORTIC SCI, V131, P214, DOI 10.21273/JASHS.131.2.214
   Scussel S, 2019, ARCH VIROL, V164, P2193, DOI 10.1007/s00705-019-04228-7
   Sharma N, 2020, BIOTECHNOL LETT, V42, P1035, DOI 10.1007/s10529-020-02863-8
   Sharma P., 2021, bioRxiv, DOI [10.46471/gigabyte.24, DOI 10.46471/GIGABYTE.24]
   Sharma P., 2021, bioRxiv, DOI [10.1101/2021.09.09.459704, DOI 10.1101/2021.09.09.459704]
   Sharma P, 2020, Accelerated Plant Breeding, V3, P109
   Sharma P, 2021, PLANT DIRECT, V5, DOI 10.1002/pld3.364
   Sharma S, 2013, FRONT PLANT SCI, V4, DOI 10.3389/fpls.2013.00309
   Shearman JR, 2016, SCI REP-UK, V6, DOI 10.1038/srep31533
   Shepherd M, 2011, BIOFUELS-UK, V2, P639, DOI [10.4155/bfs.11.136, 10.4155/BFS.11.136]
   Sherman A, 2015, BMC PLANT BIOL, V15, DOI 10.1186/s12870-015-0663-6
   Shi SS, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0181998
   Shimizu T, 2017, FRONT GENET, V8, DOI 10.3389/fgene.2017.00180
   Singh N., 2014, PLANT ANIMAL GENOME
   Singh N.K., 2018, PLANT ANIMAL GENOME
   Singh NK, 2012, J PLANT BIOCHEM BIOT, V21, P98, DOI 10.1007/s13562-011-0088-8
   Singh NK, 2021, MANGO GENOME, P165
   Singh R, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-22798-5
   Singh S, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61889-0
   Somerville C, 2010, SCIENCE, V329, P790, DOI 10.1126/science.1189268
   Song Y, 2016, CAN J FOREST RES, V46, P1293, DOI 10.1139/cjfr-2016-0199
   Soni P, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00227
   Spangler RE, 2003, AUST SYST BOT, V16, P279, DOI 10.1071/SB01006
   Srivastava V, 2017, PLANT CELL TISS ORG, V129, P153, DOI 10.1007/s11240-016-1166-3
   Subudhi PK, 2020, INT J MOL SCI, V21, DOI 10.3390/ijms21165759
   Svitashev S, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13274
   Tangphatsornruang S, 2010, DNA RES, V17, P11, DOI 10.1093/dnares/dsp025
   Thirugnanasambandam PP, 2019, BMC PLANT BIOL, V19, DOI 10.1186/s12870-019-1733-y
   Tian XR, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01921
   Tian XJ, 2006, PLANT PHYSIOL, V140, P401, DOI 10.1104/pp.105.070060
   Torres A.M., 1978, California Avocado Society Yearbook, V62, P103
   Tran HTM, 2018, TREE GENET GENOMES, V14, DOI 10.1007/s11295-018-1282-9
   Tran HTM, 2018, PLANT BIOTECHNOL J, V16, P1756, DOI 10.1111/pbi.12912
   Tran HTM, 2017, TREE GENET GENOMES, V13, DOI 10.1007/s11295-017-1138-8
   Tripathi L, 2020, CURR OPIN PLANT BIOL, V56, P118, DOI 10.1016/j.pbi.2020.05.003
   Tuteja R, 2013, DNA RES, V20, P485, DOI 10.1093/dnares/dst025
   Varshney RK, 2017, NAT GENET, V49, P1082, DOI 10.1038/ng.3872
   Varshney RK, 2013, NAT BIOTECHNOL, V31, P240, DOI 10.1038/nbt.2491
   Varshney RK, 2012, NAT BIOTECHNOL, V30, P83, DOI 10.1038/nbt.2022
   Venkateswaran K., 2014, Genetics, genomics and breeding of sorghum, P56
   Venkateswaran K., 2019, Breeding Sorghum for Diverse End Uses, P15, DOI DOI 10.1016/B978-0-08-101879-8.00002-4
   Vettore AL, 2001, GENET MOL BIOL, V24, P1, DOI 10.1590/S1415-47572001000100002
   Vicentini R, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0137698
   Waclawovsky AJ, 2010, PLANT BIOTECHNOL J, V8, P263, DOI 10.1111/j.1467-7652.2009.00491.x
   Wang L, 2018, MOL PLANT, V11, P1024, DOI 10.1016/j.molp.2018.06.001
   Wang MH, 2014, NAT GENET, V46, P982, DOI 10.1038/ng.3044
   Wang P, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-01959-8
   Wang S, 2016, GENOME ANNOUNCEMENTS, V4, DOI 10.1128/genomeA.01703-15
   Wang X, 2017, NAT GENET, V49, P765, DOI 10.1038/ng.3839
   Wang Z, 2019, NAT PLANTS, V5, P810, DOI 10.1038/s41477-019-0452-6
   Wei CL, 2018, P NATL ACAD SCI USA, V115, pE4151, DOI 10.1073/pnas.1719622115
   Wolfe MD, 2019, GENETICS, V213, P1237, DOI 10.1534/genetics.119.302757
   Wu GA, 2014, NAT BIOTECHNOL, V32, P656, DOI 10.1038/nbt.2906
   Wu GA, 2018, NATURE, V554, P311, DOI 10.1038/nature25447
   Xia EH, 2020, MOL PLANT, V13, P1013, DOI 10.1016/j.molp.2020.04.010
   Xia EH, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0127-1
   Xie RJ, 2018, FUNCT INTEGR GENOMIC, V18, P155, DOI 10.1007/s10142-017-0582-8
   Xu Q, 2013, NAT GENET, V45, P59, DOI 10.1038/ng.2472
   Xu X, 2012, NAT BIOTECHNOL, V30, P105, DOI 10.1038/nbt.2050
   Yan Y, 2020, PLANT BIOTECHNOL J, V18, P1504, DOI 10.1111/pbi.13321
   Yang YM, 2014, NAT COMMUN, V5, DOI [10.1038/ncomms5564, 10.1038/ncomms6110]
   Zhang SK, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00503
   Zhang S, 2020, TREE GENET GENOMES, V16, DOI 10.1007/s11295-020-01480-w
   Zhang XY, 2020, BMC GENOMICS, V21, DOI 10.1186/s12864-020-6644-7
   Zhang YJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0116056
   Zhang YZ, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-2779-y
   Zhou XY, 2021, POSTHARVEST BIOL TEC, V172, DOI 10.1016/j.postharvbio.2020.111362
   Zhu CQ, 2019, PLANT BIOTECHNOL J, V17, P2199, DOI 10.1111/pbi.13132
   Zhuang WJ, 2019, NAT GENET, V51, P865, DOI 10.1038/s41588-019-0402-2
NR 222
TC 0
Z9 0
U1 1
U2 1
PU CABI PUBLISHING-C A B INT
PI WALLINGFORD
PA CABI PUBLISHING, WALLINGFORD 0X10 8DE, OXON, ENGLAND
BN 978-1-78924-783-1; 978-1-78924-782-4
J9 CABI BIOTECH SER
PY 2022
VL 12
BP 59
EP 91
DI 10.1079/9781789247848.0004
D2 10.1079/9781789247848.0000
PG 33
WC Agricultural Engineering; Biotechnology & Applied Microbiology
WE Book Citation Index – Science (BKCI-S)
SC Agriculture; Biotechnology & Applied Microbiology
GA BW7AV
UT WOS:001187264300005
DA 2025-01-10
ER

PT J
AU Helfgott, A
AF Helfgott, Ariella
TI Operationalising systemic resilience
SO EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
LA English
DT Article
DE Community Operational Research; Resilience; Systems Thinking;
   Development; Climate Adaptation
ID ECOLOGICAL RESILIENCE; CLIMATE-CHANGE; FUTURE; PERSPECTIVE
AB This paper provides a critical analysis and synthesis of insights from the fields of Resilience Thinking, Critical Systems Thinking, Community Operational Research and Development Studies; and presents an operational framework for 'systemic resilience'. The framework is grounded in strength-based multi-stakeholder processes that explore the framing of 'resilience of what, to what, for whom, over what time frame'. Insights from Critical Systems Theory and Systemic Intervention demonstrate that rigorous framing of resilience necessarily involves participatory systemic boundary critique and both theoretical and methodological pluralism. This framework has implications for Community Operational Research activities aimed at building community resilience, and a suite of general principles is provided to this end. The Systemic Integrated Adaptation program in Nepal is provided to highlight applications in Community Operational Research, and also to highlight the flexible nature of the framework through the use of novel participatory techniques. Finally, the paper provides a discussion aimed to promote dialogue between the Resilience, Systems Thinking, Community Operational Research and Development communities. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Helfgott, Ariella] Univ Oxford, Environm Change Inst, Oxford, England.
   [Helfgott, Ariella] Univ Utrecht, Copernicus Inst Sustainable Dev, Utrecht, Netherlands.
C3 University of Oxford; Utrecht University
RP Helfgott, A (corresponding author), Univ Oxford, Environm Change Inst, Oxford, England.; Helfgott, A (corresponding author), Univ Utrecht, Copernicus Inst Sustainable Dev, Utrecht, Netherlands.
EM ariella.helfgott@ouce.ox.ac.uk
FU CGIAR Climate Change, Agriculture and Food Security (CCAFS) Research
   Program
FX Enormous thanks to the CGIAR Climate Change, Agriculture and Food
   Security (CCAFS) Research Program, particularly Dr. Andrew Jarvis for
   supporting the Systemic Integrated Adaptation (SIA) Program. I would
   also like to thank the SIA team, Dr. Chase Soya, Dr. Meghan Bailey, Dr.
   Abrar Chaudhury and Dr. Jessica Thorn, for their input into the
   implementation of multi-stakeholder processes undertaken by the SIA
   program.
CR Ackoff R.L., 2006, IDEALIZED DESIGN CRE
   Ackoff R.L., 1981, Creating the corporate future
   ACKOFF RL, 1979, J OPER RES SOC, V30, P93, DOI 10.1057/jors.1979.22
   ACKOFF RL, 1979, J OPER RES SOC, V30, P189, DOI 10.1057/jors.1979.41
   ACKOFF RL, 1970, OPER RES, V18, P761, DOI 10.1287/opre.18.5.761
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Agrawal A, 2011, GLOBAL ENVIRON CHANG, V21, P1, DOI 10.1016/j.gloenvcha.2010.12.007
   [Anonymous], ART JUDGEMENT
   [Anonymous], P CGIAR RES PROGR CL
   [Anonymous], P CLIM CHANG AGR FOO
   [Anonymous], MICRO MESO MACRO ADD
   [Anonymous], 2005, Collapse: How Civilizations Choose to Fail and Succeed
   [Anonymous], P CGIAR RES PROGR CL
   [Anonymous], BILDER ANDRE UTVIKLI
   [Anonymous], CHALLENGE TO REASON
   [Anonymous], ADAPTATION RESILIENC
   [Anonymous], 2004, ECOL SOC
   [Anonymous], NEW EVOLVING IDEAS S
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 2004, THESIS
   [Anonymous], EXPLORING FLOOD PRON
   [Anonymous], RESILIENCE
   [Anonymous], EU FP7 TRANSMANGO DE
   [Anonymous], 1997, MULTIMETHODOLOGY THE
   [Anonymous], ECOLOGY SOC
   [Anonymous], 2009, Questioning Collapse: Human Resilience, Ecological Vulnerability, and the Aftermath of Empire
   [Anonymous], 1996, ENG ECOLOGICAL CONST
   [Anonymous], 2004, COMMUNITY OPERATIONA
   [Anonymous], OPERATIONALISING RES
   [Anonymous], P BELG EUR COMM
   [Anonymous], STRENGTH BASED APPRO
   [Anonymous], 1985, HARVARD BUSINESS REV
   Bhamra R, 2011, INT J PROD RES, V49, P5375, DOI 10.1080/00207543.2011.563826
   Börjeson L, 2006, FUTURES, V38, P723, DOI 10.1016/j.futures.2005.12.002
   Brand FS, 2007, ECOL SOC, V12
   Campbell FC, 2008, elements of metallurgy and engineering alloys
   Chaudhury M, 2013, REG ENVIRON CHANGE, V13, P389, DOI 10.1007/s10113-012-0350-1
   Checkland P., 1981, Systems thinking, systems practice: Includes a 30-year retrospective
   Churchman C.West., 1968, SYSTEMS APPROACH
   Cooperrider D., 1987, RES ORG CHANGE DEV
   Davies R., 2005, MOST SIGNIFICANT CHA
   Doyle JC, 2005, P NATL ACAD SCI USA, V102, P14497, DOI 10.1073/pnas.0501426102
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gregory WJ, 1996, SYST PRACTICE, V9, P605, DOI 10.1007/BF02169216
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Helfgott A., 2008, SYSTEMIST, V30, P398
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hughes TP, 2007, AMBIO, V36, P586, DOI 10.1579/0044-7447(2007)36[586:AMOTGB]2.0.CO;2
   Kok K, 2011, TECHNOL FORECAST SOC, V78, P835, DOI 10.1016/j.techfore.2011.01.004
   Kretzmann J., 1993, BUILDING COMMUNITIES
   Martin-Breen P., 2011, Resilience: A literature review
   Meadows D.H., 1994, ENVISIONING SUSTAINA
   Midgley G, 1997, SYST PRACTICE, V10, P37, DOI 10.1007/BF02557850
   Midgley G, 1998, J OPER RES SOC, V49, P467, DOI 10.2307/3009885
   Midgley G., 2000, Systemic intervention: philosophy, methodology, and practice
   Midgley G, 2007, EMERGENCE-COMPLEX OR, V9
   Mikkelsen B., 2005, Methods for Development Work and Research: A New Guide for Practitioners, V2nd
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   Porter L, 2012, PLAN THEORY PRACT, V13, P593, DOI 10.1080/14649357.2012.731210
   Robinson J, 2011, TECHNOL FORECAST SOC, V78, P756, DOI 10.1016/j.techfore.2010.12.006
   STAR SL, 1989, SOC STUD SCI, V19, P387, DOI 10.1177/030631289019003001
   ULRICH W, 1993, SYST PRACTICE, V6, P583, DOI 10.1007/BF01059480
   ULRICH W, 1987, EUR J OPER RES, V31, P276, DOI 10.1016/0377-2217(87)90036-1
   Ulrich W., 1983, CRITICAL HEURISTICS
   Walker B, 2006, ECOL SOC, V11
   WHITE L, 1994, J OPER RES SOC, V45, P733
   Wilkinson A, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/4/045017
NR 68
TC 81
Z9 83
U1 7
U2 59
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0377-2217
EI 1872-6860
J9 EUR J OPER RES
JI Eur. J. Oper. Res.
PD AUG 1
PY 2018
VL 268
IS 3
SI SI
BP 852
EP 864
DI 10.1016/j.ejor.2017.11.056
PG 13
WC Management; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Operations Research & Management Science
GA GE4DH
UT WOS:000431164000008
OA Green Published
DA 2025-01-10
ER

PT S
AU Emerton, L
   Huxham, M
   Bournazel, J
   Kumara, MP
AF Emerton, Lucy
   Huxham, Mark
   Bournazel, Jil
   Kumara, M. Priyantha
BE Renaud, FG
   SudmeierRieux, K
   Estrella, M
   Nehren, U
TI Valuing Ecosystems as an Economic Part of Climate-Compatible Development
   Infrastructure in Coastal Zones of Kenya & Sri Lanka
SO ECOSYSTEM-BASED DISASTER RISK REDUCTION AND ADAPTATION IN PRACTICE
SE Advances in Natural and Technological Hazards Research
LA English
DT Article; Book Chapter
DE Climate-compatible development; Coastal ecosystems; Economic valuation;
   Mangroves
ID MANGROVE; PROTECTION; VALUATION; IMPACTS
AB Even though 'green' options for addressing the impacts of climate change have gained in currency over recent years, they are yet to be fully mainstreamed into development policy and practice. One important reason is the lack of economic evidence as to why investing in ecosystems offers a cost-effective, equitable and sustainable means of securing climate adaptation, disaster risk reduction and other development co-benefits. This chapter presents a conceptual framework for integrating ecosystem values into climate-compatible development planning. Case studies from coastal areas of Kenya and Sri Lanka illustrate how such an approach can be applied in practice to make the economic and business case for ecosystem-based measures. It is argued that, rather than posing 'grey' and 'green' options as being necessarily in opposition to each other or as mutually incompatible, from an economic perspective both should be seen as being part and parcel of the same basic infrastructure that is required to deliver essential development services in the face of climate change.
C1 [Emerton, Lucy] Environm Management Grp, Environm Econ, Colombo, Sri Lanka.
   [Huxham, Mark] Edinburgh Napier Univ, Sch Life Sport & Social Sci, Edinburgh, Midlothian, Scotland.
   [Kumara, M. Priyantha] Ocean Univ Sri Lanka, Fac Fisheries & Marine Sci, Tangalle, Sri Lanka.
C3 Edinburgh Napier University; Ocean University of Sri Lanka
RP Emerton, L (corresponding author), Environm Management Grp, Environm Econ, Colombo, Sri Lanka.
EM lucy@environment-group.org; m.huxham@napier.ac.uk;
   jil.bournazel@gmail.com; kumarampp@yahoo.com
RI Kumara, M.P./CAH-8793-2022; Huxham, Mark/D-4427-2015
OI Huxham, Mark/0000-0001-7877-6675; Emerton, Lucy/0000-0003-1626-6324;
   Kumara, M.P./0000-0001-9192-0387
FU NERC [NE/I003401/1] Funding Source: UKRI
CR Agardy T., 2005, Ecosystems and human well-being: Current state and trends
   [Anonymous], 2009, ECOSYSTEM BASED ADAP, DOI DOI 10.1093/JSS/XXXIII.1.1
   [Anonymous], 2005, Ecosystems and Human Well being synthesis
   [Anonymous], 2008, The Economics of Ecosystems and Biodiversity: An Interim Report
   [Anonymous], 0703072010580412SERB
   [Anonymous], 2020, FUND EC REST EUR
   [Anonymous], 2009, The Sunken Billions: The Economic Justification for Fisheries Reform
   [Anonymous], 2007, VALUING ENV SMALL IS
   Barbier EB, 2011, ECOL MONOGR, V81, P169, DOI 10.1890/10-1510.1
   Batagoda B.M. S., 2003, The Economic Valuation of Alternative Uses of Mangrove Forests in Sri Lanka
   [Beaudoin Yannick. TEEB. TEEB.], 2012, Why Value the Oceans - A discussion paper
   Beck MW, 2012, COASTAL HABITATS RIS
   Bournazel J, 2015, OCEAN COAST MANAGE, V113, P18, DOI 10.1016/j.ocecoaman.2015.05.009
   Clark S., 2012, ECOSYSTEM BASED ADAP
   Cooper E., 2008, Coastal Capital: Economic Contribution of Coral Reefs and Mangroves to Belize
   Das S., 2009, Can mangroves minimize property loss during big storms?: An analysis of house damages due to the super cyclone in Orissa
   Das S, 2013, ESTUAR COAST SHELF S, V134, P98, DOI 10.1016/j.ecss.2013.09.021
   De Mel M., 2011, VALUATION ECOSYSTEM
   Emerton L, 2006, Counting coastal ecosystems as an economic part of development infrastructure
   Emerton L., 2014, ICOAST TECHNICAL REP
   Ferrario F, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4794
   Gunawardena M, 2005, ENVIRON MANAGE, V36, P535, DOI 10.1007/s00267-003-0286-9
   Haisfield KM, 2010, CONSERV LETT, V3, P243, DOI 10.1111/j.1755-263X.2010.00104.x
   Huxham M, 2013, EC VALUATION MANGROV
   Huxham M, 2015, J ENVIRON MANAGE, V157, P168, DOI 10.1016/j.jenvman.2015.04.018
   Kirui KB, 2013, OCEAN COAST MANAGE, V83, P19, DOI 10.1016/j.ocecoaman.2011.12.004
   Mohammed E.Y., 2012, PAYMENTS COASTAL MAR
   Primavera JH, 1997, AQUAC RES, V28, P815
   Rao Nalini S., 2013, An Economic Analysis of Ecosystem-based Adaptation and Engineering Options for Climate Change Adaptation in Lami Town, Republic of the Fiji Islands
   [Renaud FabriceG. UNU (United Nations University) UNU (United Nations University)], 2013, The Role of Ecosystems in Disaster Risk Reduction
   Rideout AJR, 2013, GLOBAL CHANGE BIOL, V19, P3493, DOI 10.1111/gcb.12176
   Shepard CC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027374
   Shreve CM, 2014, INT J DISAST RISK RE, V10, P213, DOI 10.1016/j.ijdrr.2014.08.004
   Spalding MD, 2014, OCEAN COAST MANAGE, V90, P50, DOI 10.1016/j.ocecoaman.2013.09.007
   Sudmeier-Rieux K., 2013, ECOSYSTEM APPROACH D
   TEEB-The Economics of Ecosystems and Biodiversity, 2010, The Economics of Ecosystems and Biodiversity: Mainstreaming the Economics of Nature: A synthesis of the approach, conclusions and recommendations of TEEB
   Temmerman S, 2013, NATURE, V504, P79, DOI 10.1038/nature12859
   Tompkins E.L., 2013, 124 CTR CLIM CHANG E
   UNEP, 2004, AN RES IMP FISH SUBS
   UNEP-WCMC, 2011, UNEP WCMC BIOD SER, V33
   [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]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
   [No title captured]
NR 65
TC 4
Z9 4
U1 0
U2 6
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1878-9897
EI 2213-6959
BN 978-3-319-43633-3; 978-3-319-43631-9
J9 ADV NAT TECH HAZ RES
PY 2016
VL 42
BP 23
EP 43
DI 10.1007/978-3-319-43633-3_2
D2 10.1007/978-3-319-43633-3
PG 21
WC Engineering, Environmental; Meteorology & Atmospheric Sciences
WE Book Citation Index – Science (BKCI-S)
SC Engineering; Meteorology & Atmospheric Sciences
GA BH2YR
UT WOS:000399487500003
DA 2025-01-10
ER

PT B
AU Prosinger, J
   Suhardiman, D
   Giordano, M
AF Prosinger, Jana
   Suhardiman, Diana
   Giordano, Mark
BE Hoanh, CT
   Johnston, R
   Smakhtin, V
TI Linking Climate Change Discourse with Climate Change Policy in the
   Mekong: The Case of Lao PDR
SO CLIMATE CHANGE AND AGRICULTURAL WATER MANAGEMENT IN DEVELOPING COUNTRIES
SE CABI Climate Change Series
LA English
DT Article; Book Chapter
ID UNCERTAINTY; SCIENCE
AB Current discourse on climate change highlights the issue of uncertainty, risks and the importance of systems' resilience as a means to cope with impacts of climate change and climate variability. This chapter links the dominant approach of uncertainty as presented in the climate change discourse with policy discussions on climate adaptation strategies in the Lower Mekong Basin. Taking Lao PDR as our case study, we discuss how the idea of uncertainty can be perceived and interpreted differently by policy actors. While these different perceptions and interpretations might lead to multiple problem framings, they also reflect structural impediments and institutional barriers in the overall formulation process of climate change policy and adaptation strategies. The main message of the chapter is that understanding of these different notions of uncertainty is crucial to increase the actual significance of climate change policy. Policy and governance responses to climate change need to be formulated based on a more nuanced, sophisticated understanding of how various policy actors and stakeholders perceive and experience uncertainty.
C1 [Prosinger, Jana] Sch Oriental & African Studies, London, England.
   [Suhardiman, Diana] Int Water Management Inst, South East Asia Reg Off, Viangchan, Laos.
   [Giordano, Mark] Georgetown Univ, Georgetowns Sch Foreign Serv, Washington, DC USA.
C3 University of London; University of London School Oriental & African
   Studies (SOAS); CGIAR; International Water Management Institute (IWMI);
   Georgetown University
RP Suhardiman, D (corresponding author), Int Water Management Inst, South East Asia Reg Off, Viangchan, Laos.
EM janaprosinger@gmail.com; d.suhardiman@cgiar.org; mg1382@georgetown.edu
CR [Anonymous], 2002, CLIMATE CHANGE POLIC
   [Anonymous], 2007, The Honest Broker: Making Sense of Science in Policy and Politics
   [Anonymous], 2007, CLIM CHANG IMP AD VU
   Carpenter SR, 2008, ECOL SOC, V13
   Climate Change Strategy (CCS), 2011, GOV LAO PDR
   Dessai S., 2007, UNCERTAINTY CLIMATE
   Dimitrov RS, 2003, INT STUD QUART, V47, P123, DOI 10.1111/1468-2478.4701006
   Drieschova A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P384
   Edelman Murray., 1988, CONSTRUCTING POLITIC
   Heal G, 2002, ENVIRON RESOUR ECON, V22, P3, DOI 10.1023/A:1015556632097
   ISO, 2002, RISK MAN VOC GUID US
   Jones N, 2012, SOC SCI J, V49, P33, DOI 10.1016/j.soscij.2011.06.011
   Mosse David., 2004, Cultivating Development: An Ethnography of Aid Policy and Practice
   National Adaptation Programme of Action to Climate Change (NAPA), 2008, WAT RES ENV ADM
   NEW M., 2000, Integr. Assess, V1, P203, DOI DOI 10.1023/A:1019144202120
   Organisation for Economic Co-operation and Development (OECD), 2006, KEY AD CONC TERMS
   Sabatier P., 1988, W POLITICAL Q, V42, P229
   Shackley S, 1996, SCI TECHNOL HUM VAL, V21, P275, DOI 10.1177/016224399602100302
   Termeer C. J. A. M., 2009, STATE ART GOVERNANCE
   Tol RSJ, 2005, ENERG POLICY, V33, P2064, DOI 10.1016/j.enpol.2004.04.002
   van der Sluijs J, 2006, IMPLEMENTING THE PRECAUTIONARY PRINCIPLE: PERSPECTIVES AND PROSPECTS, P245
   Walker W.E., 2003, INTEGRATED ASSESSMEN, V4, P5, DOI [DOI 10.1076/IAIJ.4.1.5.16466, https://doi.org/10.1076/iaij.4.1.5.16466]
   Wardekker A., 2011, THESIS UTRECHT U UTR
   Weber EP, 2008, POLIT SCI, V60, P133, DOI 10.1177/003231870806000111
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
NR 25
TC 1
Z9 1
U1 0
U2 3
PU CABI PUBLISHING-C A B INT
PI WALLINGFORD
PA CABI PUBLISHING, WALLINGFORD 0X10 8DE, OXON, ENGLAND
BN 978-1-78064-366-3
J9 CABI CLIM CHANGE SER
PY 2016
VL 8
BP 208
EP 220
D2 10.1079/9781780643663.0000
PG 13
WC Agronomy; Environmental Sciences
WE Book Citation Index – Science (BKCI-S)
SC Agriculture; Environmental Sciences & Ecology
GA BE8TW
UT WOS:000377029200014
OA Green Submitted
DA 2025-01-10
ER

PT J
AU van Woesik, R
   Sakai, K
   Ganase, A
   Loya, Y
AF van Woesik, R.
   Sakai, K.
   Ganase, A.
   Loya, Y.
TI Revisiting the winners and the losers a decade after coral bleaching
SO MARINE ECOLOGY PROGRESS SERIES
LA English
DT Article
DE Coral bleaching; Climate adaptation; Temperature; Reefs; Recovery
ID GREAT-BARRIER-REEF; CLIMATE-CHANGE; STYLOPHORA-PISTILLATA;
   TEMPERATURE-VARIATION; THERMAL TOLERANCE; GENETIC-STRUCTURE;
   INDIAN-OCEAN; COLONY SIZE; MORTALITY; RECOVERY
AB Over the past 3 decades, thermal stress events have damaged corals globally. Few studies, however, have tracked the recovery process or assessed whether winners in the short term are also winners in the long term. In the present study, we repeatedly sampled a coral assemblage over a 14 yr period, from 1997 to 2010, through 2 thermal stress events (in 1998 and 2001). Our goal was to examine the consistency of short-term winner and loser outcomes over the recovery period. Although species richness had recovered after 10 yr, the reef composition had changed, and few pocilloporids were to be found. The short-term winners were the thermally tolerant encrusting and massive coral morphologies (Porites and faviids) and Acropora colonies <5 cm in diameter. Long-term winners were revealed as (1) thermally tolerant, locally persistent colonies, (2) remnant survivors that rapidly regrew, and (3) regionally persistent colonies that recruited.
C1 [van Woesik, R.; Ganase, A.] Florida Inst Technol, Dept Biol Sci, Melbourne, FL 32901 USA.
   [Sakai, K.] Univ Ryukyus, Trop Biosphere Res Ctr, Sesoko Stn, Okinawa 9050227, Japan.
   [Loya, Y.] Tel Aviv Univ, Dept Zool, IL-69978 Tel Aviv, Israel.
C3 Florida Institute of Technology; University of the Ryukyus; Tel Aviv
   University
RP van Woesik, R (corresponding author), Florida Inst Technol, Dept Biol Sci, Melbourne, FL 32901 USA.
EM rvw@fit.edu
RI Loya, Yossi/J-3039-2012
OI Sakai, Kazuhiko/0000-0003-1905-5952; Loya, Yossi/0000-0001-6870-9444
FU Tropical Biosphere Research Center (TBRC); University of the Ryukyus;
   Japan Society for the Promotion of Science [21570021, 21247006];
   Grants-in-Aid for Scientific Research [20121002, 21570021] Funding
   Source: KAKEN
FX We thank the Tropical Biosphere Research Center (TBRC), University of
   the Ryukyus, for providing a visiting professor fellowship to R.v.W. in
   the summer of 2010; the Japan Society for the Promotion of Science for
   providing a Fellowship to Y.L. in the summer of 2007; JSPS KAKENHI (C &
   A) nos. 21570021 & 21247006 for supporting K.S. We also thank the TBRC
   Director, Prof. H. Oku, for providing the opportunity and facilities to
   carry out the research. The assistance of the staff is greatly
   appreciated, especially that of S. Nakamura, Y. Nakano, A. Takemura, S.
   Harii and C. Uchima. We also extend thanks to T. Done and L. Devantier
   for sharing the Great Barrier Reef data. Our special thanks extend to S.
   van Woesik for editorial comments.
CR [Anonymous], 2014, Bayesian Data Analysis
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Aronson RB, 2000, NATURE, V405, P36, DOI 10.1038/35011132
   Baird AH, 2002, MAR ECOL PROG SER, V237, P133, DOI 10.3354/meps237133
   Baird AH, 2009, TRENDS ECOL EVOL, V24, P16, DOI 10.1016/j.tree.2008.09.005
   Baker AC, 2001, NATURE, V411, P765, DOI 10.1038/35081151
   Barshis DJ, 2010, MOL ECOL, V19, P1705, DOI 10.1111/j.1365-294X.2010.04574.x
   Bena C, 2004, B MAR SCI, V75, P115
   Berkelmans R, 2006, P ROY SOC B-BIOL SCI, V273, P2305, DOI 10.1098/rspb.2006.3567
   Bou-Abdallah F, 2006, BBA-GEN SUBJECTS, V1760, P1690, DOI 10.1016/j.bbagen.2006.08.014
   BROWN BE, 1990, CORAL REEFS, V8, P163, DOI 10.1007/BF00265007
   Carroll SP, 2007, FUNCT ECOL, V21, P387, DOI 10.1111/j.1365-2435.2007.01289.x
   Côté IM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000438
   DAYTON PK, 1971, ECOL MONOGR, V41, P351, DOI 10.2307/1948498
   Done TJ, 2010, CORAL REEFS, V29, P815, DOI 10.1007/s00338-010-0637-y
   Donner SD, 2005, GLOBAL CHANGE BIOL, V11, P2251, DOI 10.1111/j.1365-2486.2005.01073.x
   Endler J.A., 1986, Monographs in Population Biology, pviii
   Fabricius KE, 2006, LIMNOL OCEANOGR, V51, P30, DOI 10.4319/lo.2006.51.1.0030
   Gates RD, 1999, AM ZOOL, V39, P30
   Glynn PW, 2001, B MAR SCI, V69, P79
   GLYNN PW, 1991, TRENDS ECOL EVOL, V6, P175, DOI 10.1016/0169-5347(91)90208-F
   GLYNN PW, 1988, ANNU REV ECOL SYST, V19, pU309
   GLYNN PW, 1993, CORAL REEFS, V12, P1, DOI 10.1007/BF00303779
   GLYNN PW, 1984, ENVIRON CONSERV, V11, P133, DOI 10.1017/S0376892900013825
   Golbuu Y, 2007, CORAL REEFS, V26, P319, DOI 10.1007/s00338-007-0200-7
   Grottoli AG, 2006, NATURE, V440, P1186, DOI 10.1038/nature04565
   Hall VR, 1996, ECOLOGY, V77, P950, DOI 10.2307/2265514
   Hoegh-Guldberg O, 2007, SCIENCE, V318, P1737, DOI 10.1126/science.1152509
   Hoegh-Guldberg O, 1999, MAR FRESHWATER RES, V50, P839, DOI 10.1071/MF99078
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hughes TP, 2000, ECOLOGY, V81, P2241, DOI 10.1890/0012-9658(2000)081[2241:SSEWBW]2.0.CO;2
   Kai S, 2008, MAR ECOL PROG SER, V354, P133, DOI 10.3354/meps07216
   Loya Y, 2001, ECOL LETT, V4, P122, DOI 10.1046/j.1461-0248.2001.00203.x
   LOYA Y, 1976, NATURE, V259, P478, DOI 10.1038/259478a0
   MAC ARTHUR ROBERT H., 1967
   Marshall PA, 2000, CORAL REEFS, V19, P155, DOI 10.1007/s003380000086
   Maynard JA, 2008, MAR BIOL, V155, P173, DOI 10.1007/s00227-008-1015-y
   McClanahan TR, 2007, MAR ECOL PROG SER, V337, P1, DOI 10.3354/meps337001
   McClanahan TR, 2007, ECOL MONOGR, V77, P503, DOI 10.1890/06-1182.1
   McClanahan TR, 2004, MAR BIOL, V144, P1239, DOI 10.1007/s00227-003-1271-9
   McClanahan TR, 2003, ECOSYSTEMS, V6, P551, DOI 10.1007/s10021-002-0104-x
   Nakajima Y, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011149
   Nakamura T, 2003, MAR ECOL PROG SER, V256, P287, DOI 10.3354/meps256287
   Nakamura T, 2001, MAR ECOL PROG SER, V212, P301, DOI 10.3354/meps212301
   Nishikawa A, 2003, MAR ECOL PROG SER, V256, P87, DOI 10.3354/meps256087
   Papina M, 2002, COMP BIOCHEM PHYS B, V131, P767, DOI 10.1016/S1096-4959(02)00025-8
   Riegl BM, 2009, ECOL MODEL, V220, P192, DOI 10.1016/j.ecolmodel.2008.09.022
   Roth L, 2010, MAR ECOL PROG SER, V411, P73, DOI 10.3354/meps08640
   Rothman K J, 1990, Epidemiology, V1, P43, DOI 10.1097/00001648-199001000-00010
   Sakai K., 1984, Galaxea, V3, P57
   Sakai K, 1998, BIOL BULL, V195, P319, DOI 10.2307/1543143
   Scheffer M, 2003, TRENDS ECOL EVOL, V18, P648, DOI 10.1016/j.tree.2003.09.002
   Schoener TW, 2011, SCIENCE, V331, P426, DOI 10.1126/science.1193954
   Smith-Keune C, 2006, CORAL REEFS, V25, P493, DOI 10.1007/s00338-006-0129-2
   SOUSA WP, 1979, ECOLOGY, V60, P1225, DOI 10.2307/1936969
   SZMANT AM, 1990, CORAL REEFS, V8, P217, DOI 10.1007/BF00265014
   Thompson DM, 2009, P ROY SOC B-BIOL SCI, V276, P2893, DOI 10.1098/rspb.2009.0591
   Thompson JN, 1998, TRENDS ECOL EVOL, V13, P329, DOI 10.1016/S0169-5347(98)01378-0
   van Nes EH, 2007, AM NAT, V169, P738, DOI 10.1086/516845
   Van Woesik R, 2004, CORAL HEALTH AND DISEASE, P119
   vanWoesik R, 1997, CORAL REEFS, V16, P103, DOI 10.1007/s003380050064
   VANWOESIK R, 2006, COASTAL ESTUARINE ST, V61, P129
   WALLACE CC, 1985, MAR BIOL, V88, P217, DOI 10.1007/BF00392585
   Wilkinson C, 1999, AMBIO, V28, P188
   Zvuloni A, 2008, LIMNOL OCEANOGR-METH, V6, P144, DOI 10.4319/lom.2008.6.144
NR 65
TC 336
Z9 378
U1 0
U2 157
PU INTER-RESEARCH
PI OLDENDORF LUHE
PA NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY
SN 0171-8630
EI 1616-1599
J9 MAR ECOL PROG SER
JI Mar. Ecol.-Prog. Ser.
PY 2011
VL 434
BP 67
EP 76
DI 10.3354/meps09203
PG 10
WC Ecology; Marine & Freshwater Biology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology;
   Oceanography
GA 802TC
UT WOS:000293532900006
OA Bronze
DA 2025-01-10
ER

PT J
AU Zeilstra, I
   Fischer, K
AF Zeilstra, I
   Fischer, K
TI Cold tolerance in relation to developmental and adult temperature in a
   butterfly
SO PHYSIOLOGICAL ENTOMOLOGY
LA English
DT Article
DE acclimation; chill coma; climatic adaptation; developmental plasticity;
   Lepidoptera
ID DROSOPHILA-MELANOGASTER; RESISTANCE; ADAPTATIONS; RESPONSES; INSECTS;
   DIPTERA; SIZE
AB Larvae of the butterfly Lycaena tityrus (Poda) are reared at 20 or 27 degreesC until adult eclosion, after which they are maintained at the same temperature or are transferred to the alternate temperature. The resulting adults are exposed to -20 degreesC for 8 min, returned to ambient temperature, and the recovery time to standing position is recorded. On the day of eclosion, individuals reared at 20 degreesC show 19% shorter recovery times than individuals reared at 27 degreesC. This effect of developmental temperature disappears when the same animals are tested 3 and 6 days later. However, adult temperature did not affect recovery time in these animals, presumably due to over-riding effects of previous cold shocks. This is suggested by another set of animals, not having experienced previous cold shocks, demonstrating recovery times that are 28% shorter in individuals maintained as adults for 3 days at 20 compared to 27 degreesC. Thus, L. tityrus appears to be capable of adapting to local temperatures.
C1 Univ Bayreuth, Dept Anim Ecol 1, D-95440 Bayreuth, Germany.
C3 University of Bayreuth
RP Univ Bayreuth, Dept Anim Ecol 1, POB 101251, D-95440 Bayreuth, Germany.
EM klaus.fischer@uni-bayreuth.de
CR Addo-Bediako A, 2000, P ROY SOC B-BIOL SCI, V267, P739, DOI 10.1098/rspb.2000.1065
   [Anonymous], 1998, Die Tagfalter Europas und Nordwestafrikas
   Arnett AE, 2003, ECOL ENTOMOL, V28, P645, DOI 10.1111/j.1365-2311.2003.00554.x
   ATKINSON D, 1994, ADV ECOL RES, V25, P1, DOI 10.1016/S0065-2504(08)60212-3
   David JR, 2003, FUNCT ECOL, V17, P425, DOI 10.1046/j.1365-2435.2003.00750.x
   David RJ, 1998, J THERM BIOL, V23, P291, DOI 10.1016/S0306-4565(98)00020-5
   Ebert G, 1991, Die Schmetterlinge Baden-Wurttembergs, V2
   Fischer K, 2003, P ROY SOC B-BIOL SCI, V270, P2051, DOI 10.1098/rspb.2003.2470
   Fischer K, 2000, OIKOS, V90, P372, DOI 10.1034/j.1600-0706.2000.900218.x
   Gibert P, 2001, EVOLUTION, V55, P205, DOI 10.1111/j.0014-3820.2001.tb01286.x
   Gibert P, 2001, EVOLUTION, V55, P1063, DOI 10.1554/0014-3820(2001)055[1063:CCTAMC]2.0.CO;2
   Goto SG, 1998, J INSECT PHYSIOL, V44, P1233, DOI 10.1016/S0022-1910(98)00101-2
   Hill JK, 2002, P ROY SOC B-BIOL SCI, V269, P2163, DOI 10.1098/rspb.2002.2134
   Hoffmann AA, 2003, J THERM BIOL, V28, P175, DOI 10.1016/S0306-4565(02)00057-8
   Hoffmann AA, 2002, ECOL LETT, V5, P614, DOI 10.1046/j.1461-0248.2002.00367.x
   HONEK A, 1993, OIKOS, V66, P483, DOI 10.2307/3544943
   Kelty JD, 1999, J INSECT PHYSIOL, V45, P719, DOI 10.1016/S0022-1910(99)00040-2
   Kelty JD, 2001, J EXP BIOL, V204, P1659
   Leather SR., 1993, ECOLOGY INSECT OVERW
   LEE RE, 1987, SCIENCE, V238, P1415, DOI 10.1126/science.238.4832.1415
   Ohtsu T, 1998, EUR J BIOCHEM, V252, P608, DOI 10.1046/j.1432-1327.1998.2520608.x
   Ohtsu T, 1999, ENVIRON ENTOMOL, V28, P968, DOI 10.1093/ee/28.6.968
   Parmesan C, 1999, NATURE, V399, P579, DOI 10.1038/21181
   PARTRIDGE L, 1996, PHENOTYPIC EVOLUTION, P265
   Sejerkilde M, 2003, J INSECT PHYSIOL, V49, P719, DOI 10.1016/S0022-1910(03)00095-7
   Sinclair BJ, 2003, TRENDS ECOL EVOL, V18, P257, DOI 10.1016/S0169-5347(03)00014-4
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Willmer P., 2009, Environmental Physiology of Animals
   Wilson RS, 2002, TRENDS ECOL EVOL, V17, P66, DOI 10.1016/S0169-5347(01)02384-9
NR 29
TC 42
Z9 44
U1 0
U2 26
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 MAR
PY 2005
VL 30
IS 1
BP 92
EP 95
DI 10.1111/j.0307-6962.2005.00430.x
PG 4
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA 894KA
UT WOS:000226789000013
DA 2025-01-10
ER

PT J
AU de Lima, AD
   Cassalho, F
   Miesse, TW
   Henke, M
   Canick, MR
   Ferreira, CM
AF de Lima, Andre de Souza
   Cassalho, Felicio
   Miesse, Tyler W.
   Henke, Martin
   Canick, Michelle R.
   Ferreira, Celso M.
TI Assessing the potential long-term effects of sea-level rise on salt
   marsh's coastal protective capacity under different climate pathway
   scenarios
SO ENVIRONMENTAL MONITORING AND ASSESSMENT
LA English
DT Article
DE Chesapeake Bay; Maryland; SLAMM; Climate change; Hurricane Isabel
ID ATLANTIC COAST; WETLANDS; MODEL; PROPAGATION; VEGETATION; EROSION;
   STORMS; WAVES
AB Salt marshes act as natural barriers that reduce wave energy during storm events and help protect coastal communities located in low-lying areas. This ecosystem can be an important asset for climate adaptation due to its particular capability of vertically accrete to adjust to long-term changes in water levels. Therefore, understanding marsh protection benefits thresholds in the face of sea-level rise (SLR) is important for planning future climate adaptation. In this context, the main goal of this manuscript is to examine how the storm protection benefits provided by salt marshes might evolve under SLR projections with different probability levels and emission pathways. In this study, a modeling framework that employs marsh migration predictions from the Sea Level Affecting Marshes Model (SLAMM) as parameterization into a hydrodynamic and wave model (ADCIRC + SWAN) was utilized to explicitly represent wave attenuation by vegetation under storm surge conditions. SLAMM predictions indicate that the SLR scenario, a combination of probability level and emission pathways, plays a substantial role in determining future marsh migration or marsh area loss. For example, results based on the 50% probability, stabilized emissions scenario show an increase of 45% in the marsh area on Maryland's Lower Eastern Shore by 2100, whereas Dorchester County alone could experience a 75% reduction in total salt marsh areas by 2100 under the 1% probability, growing emissions scenario. ADCIRC + SWAN results using SLAMM land cover and elevation outputs indicate that distinct temporal thresholds emerge where marsh extent sharply decreases and wave heights increase, especially after 2050, and exacerbates further after 2080. These findings can be utilized for guiding environmental policies and to aid informed decisions and actions in response to SLR-driven environmental changes.
C1 [de Lima, Andre de Souza; Cassalho, Felicio; Miesse, Tyler W.; Henke, Martin; Ferreira, Celso M.] George Mason Univ, Dept Civil Environm & Infrastruct Engn, 4400 Univ Dr, Fairfax, VA 22030 USA.
   [Canick, Michelle R.] Nature Conservancy, MD DC Chapter, Bethesda, MD USA.
C3 George Mason University; Nature Conservancy
RP de Lima, AD (corresponding author), George Mason Univ, Dept Civil Environm & Infrastruct Engn, 4400 Univ Dr, Fairfax, VA 22030 USA.
EM aedsouza@gmu.edu
RI Cassalho, Felício/AAY-7279-2021; Canick, Michelle/IQV-2860-2023; de
   Lima, Andre de Souza/T-9130-2017
OI de Lima, Andre de Souza/0000-0002-3771-3181
FU National Oceanic and Atmospheric Administration's National Centers for
   Coastal Ocean Science [NA19-NOS4780179]
FX This work was supported by the National Oceanic and Atmospheric
   Administration's National Centers for Coastal Ocean Science under award
   NA19-NOS4780179.
CR Alizad K, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0205176
   [Anonymous], 1992, Report 1: Theory and Methodology of ADCIRC-2DDI and ADCIRC-3DL. Dredging Research Program Technical Report DRP-92-6
   Baptist MartinJ., 2021, Nature-Based Solutions, V1, DOI DOI 10.1016/J.NBSJ.2021.100005
   Baron-Hyppolite C, 2019, GEOSCIENCES, V9, DOI 10.3390/geosciences9010008
   Bendoni M, 2019, COAST ENG, V152, DOI 10.1016/j.coastaleng.2019.103514
   Beven J.L., 2003, TROPICAL CYCLONE REP
   Bigalbal A, 2018, J MAR SCI ENG, V6, DOI 10.3390/jmse6030086
   Bindoff N. L., 2022, The ocean and cryosphere in a changing
   Boesch D.F., 2018, SEA LEVEL RISE PROJE, P27
   Lebbe TB, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.740602
   Booij N, 1999, J GEOPHYS RES-OCEANS, V104, P7649, DOI 10.1029/98JC02622
   Breda A, 2021, HYDROL EARTH SYST SC, V25, P769, DOI 10.5194/hess-25-769-2021
   Burns CJ, 2021, ESTUAR COAST, V44, P162, DOI 10.1007/s12237-020-00781-6
   Cassalho F, 2023, REG STUD MAR SCI, V68, DOI 10.1016/j.rsma.2023.103264
   Cassalho F, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-12104-w
   Cassalho F, 2022, GEOCARTO INT, V37, P10532, DOI 10.1080/10106049.2022.2037731
   Castagno KA, 2022, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.756670
   Chavez V., 2021, Journal of Infrastructure Preservation and Resilience, V2, P7, DOI [DOI 10.1186/S43065-021-00026-1, 10.1186/s43065-021-00026-1]
   Chesapeake Bay Program Office (CBPO), 2022, One-meter resolution land cover dataset for the Chesapeake Bay watershed, 2013/14
   Clough J. S., 2016, SLAMM 6.7 technical documentation, P97
   Clough Jonathan., 2021, Application of the Sea-Level Affecting Marshes Model to Coastal Maryland - EESLR 2019 Quantifying the Benefits of Natural and Nature-Based Features in Maryland's Chesapeake and Atlantic Coastal Bays to Inform Conservation and Management under Future Sea
   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]
   Coleman DJ, 2023, ESTUAR COAST, V46, P404, DOI 10.1007/s12237-022-01138-x
   Costanza R, 2008, AMBIO, V37, P241, DOI 10.1579/0044-7447(2008)37[241:TVOCWF]2.0.CO;2
   DALRYMPLE RA, 1984, J WATERW PORT C-ASCE, V110, P67, DOI 10.1061/(ASCE)0733-950X(1984)110:1(67)
   Danielson J. J., 2016, Advances in
   Dietrich JC, 2011, COAST ENG, V58, P45, DOI 10.1016/j.coastaleng.2010.08.001
   Dubayah RO, 2018, ORNL DAAC, DOI 10.3334/ORNLDAAC/1538
   Eggleston J., 2013, LAND SUBSIDENCE RELA, DOI DOI 10.3133/CIR1392
   Esteves LS, 1998, J COASTAL RES, P11
   Fagherazzi S, 2020, J GEOPHYS RES-EARTH, V125, DOI 10.1029/2019JF005200
   Fagherazzi S, 2012, REV GEOPHYS, V50, DOI 10.1029/2011RG000359
   Farron SJ, 2020, MAR GEOL, V425, DOI 10.1016/j.margeo.2020.106195
   Ferreira Celso, 2022, HydroShare, DOI 10.4211/hs.9034fa75324d46299984b681c54218e9
   Garzon JL, 2019, J GEOPHYS RES-OCEANS, V124, P5220, DOI 10.1029/2018JC014865
   Garzon JL, 2019, COAST ENG, V146, P32, DOI 10.1016/j.coastaleng.2018.11.001
   Ge ZM, 2016, SCI REP-UK, V6, DOI 10.1038/srep28466
   GEBCO Bathymetric Compilation Group 2020, 2020, BODC
   Gedan KB, 2020, WETLANDS, V40, P1717, DOI 10.1007/s13157-020-01328-y
   Gittman RK, 2014, OCEAN COAST MANAGE, V102, P94, DOI 10.1016/j.ocecoaman.2014.09.016
   Glass EM, 2018, LIMNOL OCEANOGR, V63, P951, DOI 10.1002/lno.10682
   Glick P, 2013, J COASTAL RES, P211, DOI [10.2112/SI63-0017.1, 10.2112/S163-017.1]
   Gorrell L, 2011, COAST ENG, V58, P510, DOI 10.1016/j.coastaleng.2011.01.013
   Grinsted A, 2010, CLIM DYNAM, V34, P461, DOI 10.1007/s00382-008-0507-2
   Hensel P. F., 2008, 2008 OC SCI M AM GEO
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hijuelos AC, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0216695
   Hsiao SC, 2021, SCI TOTAL ENVIRON, V764, DOI 10.1016/j.scitotenv.2020.144439
   Johnston J, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-01096-7
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Karegar MA, 2016, GEOPHYS RES LETT, V43, P3126, DOI 10.1002/2016GL068015
   Kearney M.S., 2002, EOS T AM GEOPHYS UN, V3, P173
   Khalid A, 2020, ENVIRON MODELL SOFTW, V131, DOI 10.1016/j.envsoft.2020.104748
   Khojasteh D, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0257538
   Kirwan ML, 2016, GEOPHYS RES LETT, V43, P4366, DOI 10.1002/2016GL068507
   Kirwan ML, 2016, NAT CLIM CHANGE, V6, P253, DOI 10.1038/NCLIMATE2909
   Kirwan ML, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL045489
   Le Coent P., 2021, Nature- Based Solutions, V1, DOI [DOI 10.1016/J.NBSJ.2021.100002, 10.1016/J.NBSJ.2021.100002]
   Leal W, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19010585
   Leonardi N, 2018, GEOMORPHOLOGY, V301, P92, DOI 10.1016/j.geomorph.2017.11.001
   Li XR, 2020, WETLANDS, V40, P771, DOI 10.1007/s13157-019-01219-x
   Liu ZZ, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00117-7
   Loftis JD, 2018, OCEANS 2018 MTS/IEEE CHARLESTON
   Maryland Geological Survey (MGS), 2003, Vector Digital Data
   Maryland Geological Survey (MGS), 2017, Vector Digital Data
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   Mcleod E, 2011, FRONT ECOL ENVIRON, V9, P552, DOI 10.1890/110004
   Mcleod E, 2010, OCEAN COAST MANAGE, V53, P507, DOI 10.1016/j.ocecoaman.2010.06.009
   Mendez FJ, 2004, COAST ENG, V51, P103, DOI 10.1016/j.coastaleng.2003.11.003
   Miesse T, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-11533-x
   Mogensen LA, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-19695-2
   Molino GD, 2022, LIMNOL OCEANOGR LETT, V7, P321, DOI 10.1002/lol2.10262
   Morris JT, 2002, ECOLOGY, V83, P2869, DOI 10.1890/0012-9658(2002)083[2869:ROCWTR]2.0.CO;2
   Nicholls RJ, 2004, GLOBAL ENVIRON CHANG, V14, P69, DOI 10.1016/j.gloenvcha.2003.10.007
   NOAA National Centers for Environmental Information, 1998, NCEI
   Nunez K, 2021, OCEAN COAST MANAGE, V214, DOI 10.1016/j.ocecoaman.2021.105898
   NYMAN JA, 1993, MAR ECOL PROG SER, V96, P269, DOI 10.3354/meps096269
   Pachauri RK., 2015, CLIMATE CHANGE 2014, P151
   Paquier AE, 2017, ESTUAR COAST, V40, P930, DOI 10.1007/s12237-016-0190-1
   Passeri DL, 2015, EARTHS FUTURE, V3, P159, DOI 10.1002/2015EF000298
   Phillips MR, 2010, GLOBAL PLANET CHANGE, V73, P211, DOI 10.1016/j.gloplacha.2010.06.005
   Post B., 2005, Hurricane Isabel assessment, a review of hurricane evacuation study products and other aspects of the National Hurricane Mitigation and Preparedness Program NHMPP in the context of the Hurricane Isabel response
   Rangel-Buitrago N, 2013, INT J CLIMATOL, V33, P2142, DOI 10.1002/joc.3579
   Raposa KB, 2016, BIOL CONSERV, V204, P263, DOI 10.1016/j.biocon.2016.10.015
   Raw JL, 2020, AFR J AQUAT SCI, V45, P49, DOI 10.2989/16085914.2019.1662763
   Rezaie AM, 2021, NAT HAZARDS REV, V22, DOI 10.1061/(ASCE)NH.1527-6996.0000505
   Roberts KJ, 2019, GEOSCI MODEL DEV, V12, P1847, DOI 10.5194/gmd-12-1847-2019
   Rogers K, 2012, ECOL MODEL, V244, P148, DOI 10.1016/j.ecolmodel.2012.06.014
   Sallenger AH, 2012, NAT CLIM CHANGE, V2, P884, DOI [10.1038/nclimate1597, 10.1038/NCLIMATE1597]
   Schuerch M, 2018, NATURE, V561, P231, DOI 10.1038/s41586-018-0476-5
   Seddon N, 2020, GLOB SUSTAIN, V3, DOI 10.1017/sus.2020.8
   Smith CS, 2018, ECOL APPL, V28, P871, DOI 10.1002/eap.1722
   Sowinska-Swierkosz B, 2021, SCI TOTAL ENVIRON, V787, DOI 10.1016/j.scitotenv.2021.147615
   Sowiska-wierkosz B., 2022, Nature-based Solutions, V2, P100009, DOI [10.1016/j.nbsj.2022.100009, DOI 10.1016/J.NBSJ.2022.100009]
   Spanger-Siegfried E., 2014, University Digital Conservancy
   Taylor-Burns R, 2023, COAST ENG, V184, DOI 10.1016/j.coastaleng.2023.104346
   Teh S.Y., 2016, International Journal of Agriculture, Forestry and Plantation, V2, P1
   Thorslund J, 2017, ECOL ENG, V108, P489, DOI 10.1016/j.ecoleng.2017.07.012
   Tonelli M, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC006026
   Torio DD, 2013, J COASTAL RES, V29, P1049, DOI 10.2112/JCOASTRES-D-12-00162.1
   Turner RE, 2004, ECOL RES, V19, P29, DOI 10.1111/j.1440-1703.2003.00610.x
   U.S. Census Bureau, 2022, United states census bureau's american community survey 5-year estimates accessed through ArcGIS living atlas of the world, with the most recent vintage and the specific table ID(s) found in the top of the description and in the credits (attribution) section of each layer's item details page.
   U.S. Fish and Wildlife Service, 2020, National Wetlands Inventory website
   Van Dolah ER, 2020, WETLANDS, V40, P1751, DOI 10.1007/s13157-020-01388-0
   Vinent OD, 2019, J ENVIRON ECON MANAG, V98, DOI 10.1016/j.jeem.2019.102262
   Virginia Institute of Marine Science (VIMS), 2008, Erosion rate attributes with modifications from Maryland Shoreline Inventory reports
   Wiberg PL, 2020, ANNU REV MAR SCI, V12, P389, DOI 10.1146/annurev-marine-010419-010610
   Wu WT, 2017, OCEAN COAST MANAGE, V138, P1, DOI 10.1016/j.ocecoaman.2017.01.005
   Zervas C.E., 2009, SEA LEVEL VARIATIONS
   Zhang XX, 2020, WETLANDS, V40, P2151, DOI 10.1007/s13157-020-01346-w
NR 111
TC 0
Z9 0
U1 4
U2 4
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 SEP
PY 2024
VL 196
IS 9
AR 817
DI 10.1007/s10661-024-12961-z
PG 21
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA C8X2L
UT WOS:001292133400004
PM 39147999
OA hybrid
DA 2025-01-10
ER

PT J
AU Noel, AR
   Shriver, RK
   Crausbay, SD
   Bradford, JB
AF Noel, Adam R. R.
   Shriver, Robert K. K.
   Crausbay, Shelley D. D.
   Bradford, John B. B.
TI Where can managers effectively resist climate-driven ecological
   transformation in pinyon-juniper woodlands of the US Southwest?
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE climate adaptation; climate change; dry forests and woodlands;
   ecological transformation; forest management; tree mortality; tree
   recruitment
ID TREE MORTALITY; LAND-USE; FOREST; DROUGHT; WATER; VEGETATION; WILDFIRES;
   VULNERABILITY; CONSEQUENCES; REGENERATION
AB Pinyon-juniper (PJ) woodlands are an important component of dryland ecosystems across the US West and are potentially susceptible to ecological transformation. However, predicting woodland futures is complicated by species-specific strategies for persisting and reproducing under drought conditions, uncertainty in future climate, and limitations to inferring demographic rates from forest inventory data. Here, we leverage new demographic models to quantify how climate change is expected to alter population demographics in five PJ tree species in the US West and place our results in the context of a climate adaptation framework to resist, accept, or direct ecological transformation. Two of five study species, Pinus edulis and Juniperus monosperma, are projected to experience population declines, driven by both rising mortality and decreasing recruitment rates. These declines are reasonably consistent across various climate futures, and the magnitude of uncertainty in population growth due to future climate is less than uncertainty due to how demographic rates will respond to changing climate. We assess the effectiveness of management to reduce tree density and mitigate competition, and use the results to classify southwest woodlands into areas where transformation is (a) unlikely and can be passively resisted, (b) likely but may be resisted by active management, and (c) likely unavoidable, requiring managers to accept or direct the trajectory. Population declines are projected to promote ecological transformation in the warmer and drier PJ communities of the southwest, encompassing 37.1%-81.1% of our sites, depending on future climate scenarios. Less than 20% of sites expected to transform away from PJ have potential to retain existing tree composition by density reduction. Our results inform where this adaptation strategy could successfully resist ecological transformation in coming decades and allow for a portfolio design approach across the geographic range of PJ woodlands.
C1 [Noel, Adam R. R.; Bradford, John B. B.] US Geol Survey, Southwest Biol Sci Ctr, Flagstaff, AZ 86001 USA.
   [Noel, Adam R. R.; Bradford, John B. B.] No Arizona Univ, Ctr Adaptable Western Landscapes, Flagstaff, AZ USA.
   [Shriver, Robert K. K.] Univ Nevada Reno, Dept Nat Resources & Environm Sci, Reno, NV USA.
   [Crausbay, Shelley D. D.] Conservat Sci Partners, Truckee, CA USA.
C3 United States Department of the Interior; United States Geological
   Survey; Northern Arizona University; Nevada System of Higher Education
   (NSHE); University of Nevada Reno
RP Noel, AR (corresponding author), US Geol Survey, Southwest Biol Sci Ctr, Flagstaff, AZ 86001 USA.
EM anoel@usgs.gov
OI Crausbay, Shelley/0000-0003-3028-801X
FU North Central Climate Adaptation Science Center
FX North Central Climate Adaptation Science Center
CR Allen CD, 1998, P NATL ACAD SCI USA, V95, P14839, DOI 10.1073/pnas.95.25.14839
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   Anderegg WRL, 2013, NAT CLIM CHANGE, V3, P30, DOI 10.1038/nclimate1635
   Andrews CM, 2020, J APPL ECOL, V57, P1089, DOI 10.1111/1365-2664.13615
   Andrus RA, 2018, ECOLOGY, V99, P567, DOI 10.1002/ecy.2134
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Baker WL, 2004, FOREST ECOL MANAG, V189, P1, DOI 10.1016/j.foreco.2003.09.006
   Balda R. P., 1980, WORKSH P INT FOR RAN
   Batjes NH, 2016, GEODERMA, V269, P61, DOI 10.1016/j.geoderma.2016.01.034
   Bechtold W.A., 2005, The Enhanced Forest Inventory and Analysis Program: National Sampling Design and Estimation Procedures, P27
   Bell DM, 2014, GLOBAL ECOL BIOGEOGR, V23, P168, DOI 10.1111/geb.12109
   Bradford JB, 2022, J APPL ECOL, V59, P549, DOI 10.1111/1365-2664.14073
   Bradford JB, 2017, FRONT ECOL ENVIRON, V15, P11, DOI 10.1002/fee.1445
   Breshears DD, 2005, P NATL ACAD SCI USA, V102, P15144, DOI 10.1073/pnas.0505734102
   Caswell Hal, 2001, pi
   Chenoweth DA, 2023, ECOHYDROLOGY, V16, DOI 10.1002/eco.2509
   Clifford KR, 2022, BIOSCIENCE, V72, P57, DOI 10.1093/biosci/biab086
   Crausbay SD, 2022, BIOSCIENCE, V72, P71, DOI 10.1093/biosci/biab102
   D'Amato AW, 2013, ECOL APPL, V23, P1735, DOI 10.1890/13-0677.1
   Davis KT, 2019, P NATL ACAD SCI USA, V116, P6193, DOI 10.1073/pnas.1815107116
   DeRose, 2016, RESOURCE B USDA, DOI [10.2737/RMRS-RB-22, DOI 10.2737/RMRS-RB-22]
   Felton AJ, 2022, ECOL LETT, V25, P2688, DOI 10.1111/ele.14132
   Flake S.W., 2016, Stand dynamics during drought: responses of adult trees, tree regeneration, and understory vegetation to multiyear drought in pinyon-juniper woodlands
   Flake SW, 2019, ECOL APPL, V29, DOI 10.1002/eap.1831
   Floyd ML, 2021, NAT AREA J, V41, P28, DOI 10.3375/043.041.0105
   Floyd ML, 2009, ECOL APPL, V19, P1223, DOI 10.1890/08-1265.1
   Friggens MM., 2012, Modeling and predicting vegetation response of western USA grasslands, shrublands, and deserts to climate change (Chapter 1)
   Garfin G., 2013, Assessment of Climate Change in the Southwest United States, V531, DOI DOI 10.5822/978-1-61091-484-0
   Grant GE, 2013, FRONT ECOL ENVIRON, V11, P314, DOI 10.1890/120209
   Guiterman CH, 2022, FIRE ECOL, V18, DOI 10.1186/s42408-022-00131-w
   Hartsell JA, 2020, FOREST ECOL MANAG, V455, DOI 10.1016/j.foreco.2019.117628
   Houlahan JE, 2017, OIKOS, V126, P1, DOI 10.1111/oik.03726
   Hunter ME, 2011, FIRE ECOL, V7, P108, DOI 10.4996/fireecology.0703108
   Jump AS, 2017, GLOBAL CHANGE BIOL, V23, P3742, DOI 10.1111/gcb.13636
   Kannenberg SA, 2021, FOREST ECOL MANAG, V480, DOI 10.1016/j.foreco.2020.118639
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   LAJTHA K, 1991, TREE PHYSIOL, V9, P59, DOI 10.1093/treephys/9.1-2.59
   Lehnert S., 2021, E JEMEZ LANDSCAPE FU
   Little E.L., 1971, ATLAS US TREES CONIF, P1146, DOI [10.5962/bhl.title.130546, DOI 10.5962/BHL.TITLE.130546]
   Livneh B, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.42
   Loehman RA, 2023, ECOSYSTEMS, V26, P362, DOI 10.1007/s10021-022-00762-9
   López BC, 2008, J ARID ENVIRON, V72, P602, DOI 10.1016/j.jaridenv.2007.10.012
   Lynch AJ, 2022, BIOSCIENCE, V72, P45, DOI 10.1093/biosci/biab091
   Lynch AJ, 2021, FRONT ECOL ENVIRON, V19, P461, DOI 10.1002/fee.2377
   Magness DR, 2022, BIOSCIENCE, V72, P30, DOI 10.1093/biosci/biab083
   Maurer E.P., 2007, Eos, Transactions, American Geophysical Union, V88, DOI 10.1029/2007EO470006
   McDowell N, 2008, NEW PHYTOL, V178, P719, DOI 10.1111/j.1469-8137.2008.02436.x
   McDowell NG, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0921
   McDowell NG, 2018, TRENDS ECOL EVOL, V33, P15, DOI 10.1016/j.tree.2017.10.002
   Meddens AJH, 2015, NEW PHYTOL, V206, P91, DOI 10.1111/nph.13193
   Morris LR, 2014, J MAMMAL, V95, P1144, DOI 10.1644/13-MAMM-S-169
   Mote P., 2011, Eos Trans. AGU, V92, P257, DOI DOI 10.1029/2011EO310001
   Negrón JF, 2003, WEST N AM NATURALIST, V63, P440
   Palmquist KA, 2016, ECOLOGY, V97, P2342, DOI 10.1002/ecy.1457
   Parmenter RR, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2360
   Petrie MD, 2017, ECOLOGY, V98, P1548, DOI 10.1002/ecy.1791
   Redmond MD, 2018, J ECOL, V106, P625, DOI 10.1111/1365-2745.12880
   Redmond MD, 2015, GLOBAL CHANGE BIOL, V21, P3685, DOI 10.1111/gcb.12976
   Rehfeldt GE, 2012, ECOL APPL, V22, P119, DOI 10.1890/11-0495.1
   Romme William H., 2021, Rangelands, V43, P9, DOI 10.1016/j.rala.2020.10.003
   Romme WH, 2009, RANGELAND ECOL MANAG, V62, P203, DOI 10.2111/08-188R1.1
   Rupp DE, 2013, J GEOPHYS RES-ATMOS, V118, P10884, DOI 10.1002/jgrd.50843
   Schuurman G.W., 2020, Resist-accept-direct (RAD): a framework for the 21st-century natural resource manager, DOI DOI 10.36967/NRR-2283597
   Schuurman GW, 2022, BIOSCIENCE, V72, P16, DOI 10.1093/biosci/biab067
   Shriver RK, 2022, GLOBAL ECOL BIOGEOGR, V31, P2259, DOI 10.1111/geb.13582
   Shriver RK, 2021, ECOLOGY, V102, DOI 10.1002/ecy.3425
   St-Laurent GP, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-020-01556-2
   Stevens-Rumann CS, 2022, CAN J FOREST RES, V52, P1281, DOI 10.1139/cjfr-2022-0054
   Stevens-Rumann CS, 2019, FIRE ECOL, V15, DOI 10.1186/s42408-019-0032-1
   Stevens-Rumann CS, 2018, ECOL LETT, V21, P243, DOI 10.1111/ele.12889
   Thomas KA, 2023, ECOSPHERE, V14, DOI 10.1002/ecs2.4414
   Thorne JH, 2018, CLIMATIC CHANGE, V148, P387, DOI 10.1007/s10584-017-2010-4
   Tohver IM, 2014, J AM WATER RESOUR AS, V50, P1461, DOI 10.1111/jawr.12199
   USFS, 2023, FS1215A
   USFS, 2021, DROUGHT CAUS JUN CEN
   Van Gunst KJ, 2016, FOREST ECOL MANAG, V359, P19, DOI 10.1016/j.foreco.2015.09.032
   Weisberg PJ, 2007, RANGELAND ECOL MANAG, V60, P115, DOI 10.2111/05-224R2.1
   West AG, 2008, ECOL APPL, V18, P911, DOI 10.1890/06-2094.1
   Williams AP, 2013, NAT CLIM CHANGE, V3, P292, DOI [10.1038/NCLIMATE1693, 10.1038/nclimate1693]
   Williams JW, 2022, BIOSCIENCE, V72, P13, DOI 10.1093/biosci/biab123
NR 80
TC 8
Z9 10
U1 4
U2 18
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 2023
VL 29
IS 15
BP 4327
EP 4341
DI 10.1111/gcb.16756
EA MAY 2023
PG 15
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA K8UI9
UT WOS:001001071200001
PM 37246831
OA hybrid
DA 2025-01-10
ER

PT J
AU Bigger, P
   Millington, N
AF Bigger, Patrick
   Millington, Nate
TI Getting soaked? Climate crisis, adaptation finance, and racialized
   austerity
SO ENVIRONMENT AND PLANNING E-NATURE AND SPACE
LA English
DT Article
DE Financialization of nature; green bonds; racial capitalism; climate
   adaptation; urban political ecology
ID CAPE-TOWN; GREEN ECONOMY; SOUTH-AFRICA; URBAN; WATER; FINANCIALIZATION;
   GEOGRAPHIES; RETHINKING; POLITICS; GENDER
AB As the effects of austerity continue to ravage cities and the impacts of climate change become more pronounced, municipal officials around the world are struggling to pay for climate adaptation. Some cities have already begun to anticipate the new infrastructures that climate change will require, while others have been forced to adapt in real time as climate crises have arrived in spectacular ways. Two of the most emblematic events are Superstorm Sandy, which drenched New York City in October 2012, and the drought-induced crisis of water scarcity in Cape Town, South Africa, which was most visible between 2016 and 2018. In both cases, the cities turned to green bonds, a form of municipal finance that foregrounds environmental ambitions. In this paper, we track the forms of adaptation projects that green borrowing are earmarked to fund. Drawing from scholarship on the financialization of nature alongside recent work on racial capitalism and austerity, we find that rather than transformative municipal change each city is largely carrying on with projects that reinscribe existing inequalities in the city. In addition to reflecting inequalities already present in the two cities, however, the use of municipal debt for adaptation intensifies risks, both financial and environmental, borne primary by the poor or working class people of color. Building on qualitative fieldwork in Cape Town, New York, and across the green bond investment chain, we argue that the risks posed by climate change in the city cannot be financialized away. Ultimately, we call for the end of municipal austerity driven by national and supranational budgeting choices in favor of increasing national funding of municipal adaptation by rescaling borrowing to higher political scales that can more progressively distribute risks.
C1 [Bigger, Patrick] Univ Lancaster, Lib Ave, Lancaster LA1 4YQ, England.
   [Millington, Nate] Univ Manchester, Manchester, Lancs, England.
C3 Lancaster University; University of Manchester
RP Bigger, P (corresponding author), Univ Lancaster, Lib Ave, Lancaster LA1 4YQ, England.
EM p.bigger@lancaster.ac.uk
RI Bigger, Patrick/JPL-7319-2023
OI Bigger, Patrick/0000-0002-0022-6822
FU Economic and Social Research Council-Department for International
   Development [ES/M009408/1]; Swedish Research Council [2015-01694];
   Swedish Research Council [2015-01694] Funding Source: Swedish Research
   Council; ESRC [ES/M009408/1] Funding Source: UKRI
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: Funding
   for this paper came from the Economic and Social Research
   Council-Department for International Development joint fund for poverty
   alleviation research ES/M009408/1, for the project titled ``Turning
   Livelihoods to Rubbish? Assessing the Impacts of Formalization and
   Technologization of Waste Management on the Urban Poor'' and Swedish
   Research Council project grant, ``Climate Change and Transformations of
   Financial Risk'' (#2015-01694).
CR Afridi L., 2016, IS EC OPPORTUNITY TH
   [Anonymous], 2012, The Road Back: A Historic Review of the Mta Capital Program
   [Anonymous], 2016, Capitalism and the Web of Life, DOI DOI 10.1111/j.1467-8675.2008.00471.x
   Arestis P, 2013, FEM ECON, V19, P152, DOI 10.1080/13545701.2013.795654
   Aronoff Kate., 2018, THE INTERCEPT
   Ashton P, 2012, INT J URBAN REGIONAL, V36, P773, DOI 10.1111/j.1468-2427.2011.01077.x
   Asiyanbi AP, 2018, ENVIRON PLANN A, V50, P531, DOI 10.1177/0308518X17708787
   Baucom Ian., 2005, Spectres of the Atlantic: Finance Capital, Slavery, and the Philosophy of History
   Beymer-Farris BA, 2012, GLOBAL ENVIRON CHANG, V22, P332, DOI 10.1016/j.gloenvcha.2011.11.006
   Bigger P, 2018, ENVIRON PLAN E-NAT, V1, P25, DOI 10.1177/2514848618776864
   Bigger Patrick., 2017, Journal of Environmental Investing, V8, P273
   Bledsoe A, 2019, ENVIRON PLANN D, V37, P8, DOI 10.1177/0263775818805102
   Bond P, 2012, ANTIPODE, V44, P684, DOI 10.1111/j.1467-8330.2011.00890.x
   Bracking S, 2015, THIRD WORLD Q, V36, P2337
   Braun M.Z., 2018, BLOOMBERG 0312
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Calvario R., 2017, CAPITALISM NATURE SO, V28, P69
   Caro RobertA., 1974, POWER BROKER R MOSES
   Chattopadhyay Swati., 2012, UNLEARNING CITY INFR
   Chomba S, 2016, LAND USE POLICY, V50, P202, DOI 10.1016/j.landusepol.2015.09.021
   Christophers B, 2020, ENVIRON PLAN E-NAT, V1, P144
   Christophers B, 2020, ENVIRON PLANN A, V52, P88, DOI 10.1177/0308518X18819004
   Christophers B, 2015, DIALOGUES HUM GEOGR, V5, P183, DOI 10.1177/2043820615588153
   Climate Bonds Initiative, 2019, GREEN BONDS STAT MAR
   Climate Bonds Initiative, 10 POINT CAS
   Cohen D.A., 2017, The city is the factory: New solidarities and spatial strategies in an urban age, P140
   Colon D., 2018, CURBED NEW YORK 0725
   Debonis M, 2011, WASHINGTON POST 0110
   Demause N., 2016, The Village Voice
   Dempsey J, 2016, ANN AM ASSOC GEOGR, V106, P653, DOI 10.1080/24694452.2016.1140018
   Dickinson M, 2008, CRIT ANTHROPOL, V28, P27, DOI 10.1177/0308275X07086556
   Dillon L, 2014, ANTIPODE, V46, P1205, DOI 10.1111/anti.12009
   Durkin E., 2018, GUARDIAN 1120
   Enqvist JP, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1354
   Farnsworth K, 2012, J POVERTY SOC JUSTIC, V20, P133, DOI 10.1332/175982712X652041
   Fitzsimmons E.G., 2017, NEW YORK TIMES 0629
   Fitzsimmons EG, 2019, NEW YORK TIMES
   Fredrickson GeorgeM., 1981, WHITE SUPREMACY COMP
   Freilla O., 2004, Highway Robbery, P75
   Gelinas N., 2011, NEW YORK POST 0713
   Goldin J., 2017, J GENDER STUD, V26, P561, DOI [10.1080/09589236.2016.1150819, DOI 10.1080/09589236.2016.1150819]
   Hart G, 2018, PROG HUM GEOG, V42, P371, DOI 10.1177/0309132516681388
   Harvey David, 2005, Neoliberalism: A brief history, DOI DOI 10.1093/OSO/9780199283262.003.0010
   Heynen N, 2016, PROG HUM GEOG, V40, P839, DOI 10.1177/0309132515617394
   Hickel J., 2017, The Divide: Global Inequality from Conquest to Free Markets
   Hinds K, 2012, WNYC
   Hood Clifton., 2004, 722 Miles: The Building of the Subways and How They Transformed New York
   Hu Winnie., 2018, NEW YORK TIMES
   Huber M, 2016, JACOBIN
   Jaglin S, 2008, GEOFORUM, V39, P1897, DOI 10.1016/j.geoforum.2008.04.010
   Kabak B., 2010, 2 AVENUE SAGAS 1020
   Kamaldien Y., 2018, WEEKEND ARGUS 0120
   Katz C, 2008, GENDER PLACE CULT, V15, P15, DOI 10.1080/09663690701817485
   Kish Z, 2015, CULT STUD, V29, P630, DOI 10.1080/09502386.2015.1017137
   Knocke J, 2016, MEDIUM
   Labor Market Information Service, 2009, EMPL NEW YORK CIT UR
   Laird J, 2017, DEMOGRAPHY, V54, P391, DOI 10.1007/s13524-016-0532-4
   Langley P, 2018, ECON ANTHROPOL, V5, P172, DOI 10.1002/sea2.12115
   Lave R, 2018, ENVIRON PLAN E-NAT, V1, P25
   Lawhon M, 2016, REG STUD, V50, P1611, DOI 10.1080/00343404.2016.1162288
   Long J, 2019, URBAN STUD, V56, P992, DOI 10.1177/0042098018770846
   MacKenzie D, 2009, ACCOUNT ORG SOC, V34, P440, DOI 10.1016/j.aos.2008.02.004
   Manning RD., 2010, ETHNIC RACIAL STUD, V21, P328
   McIntyre M, 2011, ANTIPODE, V43, P1465, DOI 10.1111/j.1467-8330.2011.00906.x
   Millington N, 2019, PROG HUM GEOG, V43, P1044, DOI 10.1177/0309132518799911
   Mitchell K, 2016, ANTIPODE, V48, P724, DOI 10.1111/anti.12203
   NY Torch, 2010, BACK SCEN CRIM
   O'Connor, 1994, CAPITALISM NATURE SO, V5
   Ouma S, 2018, ENVIRON PLANN A, V50, P500, DOI 10.1177/0308518X18755748
   Ouma S, 2015, DIALOGUES HUM GEOGR, V5, P225, DOI 10.1177/2043820615588160
   Palmer I., 2017, BUILDING CAPABLE STA, V1
   Partridge C., 2018, PREMIUM PRIMARY SECO, DOI [10.2139/SSRN.3237032, DOI 10.2139/SSRN.3237032]
   Patel Raj., 2017, The History of the World in Seven Cheap Things
   Peck Jamie., 2012, City, V16, DOI [10.1080/13604813.2012.734071, DOI 10.1080/13604813.2012.734071]
   Prasch RE, 2004, J ECON ISSUES, V38, P405, DOI 10.1080/00213624.2004.11506700
   Prince Sabiytha., 2016, AFRICAN AMERICANS GE
   Pulido L, 2000, ANN ASSOC AM GEOGR, V90, P12, DOI 10.1111/0004-5608.00182
   Pulido L., 2016, Capitalism Nature Socialism, V27, P1, DOI DOI 10.1080/10455752.2016.1213013
   Ranganathan M, 2021, ANTIPODE, V53, P115, DOI 10.1111/anti.12555
   Ranganathan Malini., 2016, CAPITALISM NATURE SO, V27, P17, DOI [10.1080/10455752.2016.1206583, DOI 10.1080/10455752.2016.1206583]
   Raval A, 2019, FINANCIAL TIMES 1227
   Redden M., 2016, GUARDIAN 0920
   Reichelt H., 2017, GREEN BOND MARKET 10
   Rivera R., 2008, NEW YORK TIMES 0726
   Robertson MM, 2006, ENVIRON PLANN D, V24, P367, DOI 10.1068/d3304
   Robinson J, 2016, INT J URBAN REGIONAL, V40, P187, DOI 10.1111/1468-2427.12273
   Rodina L, 2016, GEOFORUM, V72, P58, DOI 10.1016/j.geoforum.2016.04.003
   Roeland M., 2018, GROUNDUP
   Rosenman E, 2019, PROG HUM GEOG, V43, P141, DOI 10.1177/0309132517739142
   Roy A, 2005, J AM PLANN ASSOC, V71, P147, DOI 10.1080/01944360508976689
   Roy A, 2017, GEOFORUM, V80, pA1, DOI 10.1016/j.geoforum.2016.12.012
   Roy A, 2009, REG STUD, V43, P819, DOI 10.1080/00343400701809665
   SACN, 2018, State of City Finances Report 2018
   Saska J, 2015, PLANPHILLY 0126
   Scaggs A., 2018, FINANCIAL TIMES 0809
   Scheba S., 2018, ONLINE ESSAY INT J U
   Smith N., 2007, Socialist Register, V43, P19
   Socio-Economic Rights Institute, 2013, TARG POOR AN FREE BA
   Sonti S, 2018, JACOBIN 1220
   Sörqvist P, 2015, FOOD QUAL PREFER, V43, P1, DOI 10.1016/j.foodqual.2015.02.001
   Stringer S.M., 2018, LEFT DARK MTA IS FAI
   Sultana F, 2018, WATER SECUR NEW WOR, P17, DOI 10.1007/978-3-319-64046-4_2
   Swyngedouw E, 2013, ACME, V12, P1
   Tripathy A, 2017, ECON ANTHROPOL, V4, P239, DOI 10.1002/sea2.12091
   UN Environmental Program, 2016, AD FIN GAP REP 2016
   WINNER L, 1980, DAEDALUS, V109, P121
   World Bank, CIT CRED IN PARTN DE
   Yates JS, 2018, WORLD DEV, V110, P75, DOI 10.1016/j.worlddev.2018.05.021
   Ziervogel G., 2019, UNPACKING CAPE TOWN
NR 109
TC 76
Z9 79
U1 2
U2 18
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 2514-8486
EI 2514-8494
J9 ENVIRON PLAN E-NAT
JI Environ. Plan. E-Nat. Space
PD SEP
PY 2020
VL 3
IS 3
BP 601
EP 623
DI 10.1177/2514848619876539
PG 23
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA VK8CT
UT WOS:000755970000001
OA Green Submitted, Green Accepted
DA 2025-01-10
ER

PT J
AU Butler, JRA
   Skewes, T
   Mitchell, D
   Pontio, M
   Hills, T
AF Butler, J. R. A.
   Skewes, T.
   Mitchell, D.
   Pontio, M.
   Hills, T.
TI Stakeholder perceptions of ecosystem service declines in Milne Bay,
   Papua New Guinea: Is human population a more critical driver than
   climate change?
SO MARINE POLICY
LA English
DT Article
DE Livelihoods; Human population growth; Food security; Coral Triangle;
   Small islands; Climate adaptation
ID FOOD SECURITY; BIODIVERSITY; LIVELIHOODS; ADAPTATION; VALUATION; FISH
AB Milne Bay Province (MBP) in Papua New Guinea is a priority seascape in the Coral Triangle marine biodiversity hotspot. Goal 4 of the Coral Triangle Initiative on Coral Reefs, Fisheries and Food Security promotes adaptation planning for small island ecosystems and communities threatened by climate change, but information to identify vulnerable islands and priority interventions is limited. This study adapted the Millennium Ecosystem Assessment (2005) framework in MBP with regional stakeholders to project trends in harvested or cultivated 'provisioning' ecosystem goods and services (EGS), human wellbeing, drivers of change and necessary management strategies, based on their tacit knowledge. In 2010 five island subregions which are susceptible to food insecurity were assessed. Workshop participants identified freshwater, garden food crops, coral, beche-de-mer, reef fish and sharks as the most important EGS in all subregions. Terrestrial EGS contributed 43% of aggregated ecosystem-derived well-being, and marine EGS 57%. By 2030 the overall condition of EGS was projected to decline by > 50%. The primary driver in all subregions was human population growth, and climate change impacts were predicted in only two subregions. Improved garden and agricultural productivity and population control were the highest ranked management strategies. Population relocation was also prioritised for two subregions where human carrying capacities may soon be exceeded. Although none of the strategies addressed climate change directly, all could yield climate adaptation and marine conservation co-benefits by enhancing ecosystem-based adaptation and community adaptive capacity. It is suggested that there is a 20-30 year 'adaptation window' in which to address population growth, which otherwise will continue to erode the capacity of communities and ecosystems to cope with potentially extreme climate impacts after mid-century. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Butler, J. R. A.] CSIRO Ecosyst Sci & Climate Adaptat Flagship, EcoSci Precinct, Brisbane, Qld 4001, Australia.
   [Skewes, T.] CSIRO Marine & Atmospher Res & Climate Adaptat Fl, EcoSci Precinct, Brisbane, Qld 4001, Australia.
   [Mitchell, D.; Pontio, M.] Conservat Int, Asia Pacific Field Div, Pacific Isl Program, Alotau 211, Papua N Guinea.
   [Hills, T.] Conservat Int, Global Strategies Div, Kent St New Farm, Qld 4005, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Butler, JRA (corresponding author), CSIRO Ecosyst Sci & Climate Adaptat Flagship, EcoSci Precinct, GPO Box 2583, Brisbane, Qld 4001, Australia.
EM james.butler@csiro.au
RI Butler, James/D-7446-2011; Skewes, Timothy/N-9530-2015
OI Butler, James/0000-0001-8333-947X; Skewes, Timothy/0000-0002-8972-6734
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Allen B, 2009, FOOD AGR PAPUA NEW G, P62
   Allen B. J., 2001, Food security for Papua New Guinea. Proceedings of the Papua New Guinea Food and Nutrition 2000 Conference, PNG University of Technology, Lae, Papua New Guinea, 26-30 June 2000, P155
   Allen GR, 2008, AQUAT CONSERV, V18, P541, DOI 10.1002/aqc.880
   Allen GR, 2000, RAPID MARINE BIODIVE, V11
   [Anonymous], 2005, ECOSYSTEMS HUMAN WEL
   [Anonymous], 2011, FITTER FUTURE ALL CO
   [Anonymous], SEA SLUGS SKIRMISHES
   [Anonymous], PREL FIG PAP NEW GUI
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], CONTRIBUTION WORKING
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Ballard D., 2005, ACTION RES-LONDON, V3, P135, DOI [DOI 10.1177/1476750305052138, 10.1177/1476750305052138]
   Bayas JCL, 2011, P NATL ACAD SCI USA, V108, P18612, DOI 10.1073/pnas.1013516108
   Bell J, 2010, VULNERABILITY TROPIC
   Bell JD, 2009, MAR POLICY, V33, P64, DOI 10.1016/j.marpol.2008.04.002
   Bohensky EB, 2009, 18TH WORLD IMACS CONGRESS AND MODSIM09 INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, P2826
   Bourke R. M., 2001, Food security for Papua New Guinea. Proceedings of the Papua New Guinea Food and Nutrition 2000 Conference, PNG University of Technology, Lae, Papua New Guinea, 26-30 June 2000, P5
   Bourke R. M., 2005, Development Bulletin, P27
   Bowen RE, 2003, OCEAN COAST MANAGE, V46, P299, DOI 10.1016/S0964-5691(03)00008-5
   Brown V.A., 2008, Leonardo's vision: A guide to collective thinking and action
   Butler JRA, 2013, J ENVIRON MANAGE, V123, P14, DOI 10.1016/j.jenvman.2013.03.008
   Butler JRA, 2011, ANIM CONSERV, V14, P599, DOI 10.1111/j.1469-1795.2011.00509.x
   Butler JRA, 2009, FISH RES, V96, P259, DOI 10.1016/j.fishres.2008.12.006
   Butler JRA, 2012, ECOL SOC, V17, DOI 10.5751/ES-05165-170434
   Butler JRA, 2013, AGR ECOSYST ENVIRON, V180, P176, DOI 10.1016/j.agee.2011.08.017
   Butler JRA, 2011, MAR POLICY, V35, P317, DOI 10.1016/j.marpol.2010.10.011
   Butler JRA, 2012, REPORT PREPARED AUST
   Butler JRA, GLOBAL ENV IN PRESS
   Carneiro G, 2011, MAR POLICY, V35, P351, DOI 10.1016/j.marpol.2010.10.015
   Carpenter KE, 2005, ENVIRON BIOL FISH, V72, P467, DOI 10.1007/s10641-004-3154-4
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Chamberlain M, 2008, 2 WAMSI
   Christensen AE, 2010, ASIA PAC VIEWP, V51, P278, DOI 10.1111/j.1467-8373.2010.01431.x
   Church J. A., 2009, NCCARF PUBLICATION
   Coral Triangle (CTI) Secretariat, 2011, REG WID EARL ACT PLA
   Coral Triangle (CTI) Secretariat, 2009, COR TRI IN COR REEFS
   Daw T, 2011, DEV WORKING PAPER SE
   de Groot R, 2006, LANDSCAPE URBAN PLAN, V75, P175, DOI 10.1016/j.landurbplan.2005.02.016
   Department of Environment and Conservation, 2010, PNG MAR PROGR COR RE
   Enfors EI, 2008, ECOL SOC, V13
   Ensor J., 2011, Uncertain Futures: Adapting development to a changing climate
   Fazey I, 2011, GLOBAL ENVIRON CHANG, V21, P1275, DOI 10.1016/j.gloenvcha.2011.07.006
   Fazey I, 2010, GLOBAL ENVIRON CHANG, V20, P713, DOI 10.1016/j.gloenvcha.2010.04.011
   Foale S, 2013, MAR POLICY, V38, P174, DOI 10.1016/j.marpol.2012.05.033
   Folke C., 2005, Ecosyst Hum Well- Multiscale Assess, P261
   Gidley J. M., 2009, Environmental Policy and Governance, V19, P427, DOI 10.1002/eet.524
   Gough KV, 2010, SINGAPORE J TROP GEO, V31, P1, DOI 10.1111/j.1467-9493.2010.00382.x
   Grantham H. S., 2011, Pacific Conservation Biology, V17, P241
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hayes G., 1993, PACIFIC VIEWPOINT, V34, P153, DOI DOI 10.1111/APV.342002
   Hein L, 2006, ECOL ECON, V57, P209, DOI 10.1016/j.ecolecon.2005.04.005
   Hills T, 2011, REPORT SECRETARIAT P
   Hoegh-Guldberg Ove., 2009, The Coral Triangle and Climate Change: Ecosystems, People and Societies at Risk
   Jonathon A, 2001, P PAP NEW GUIN FOOD, V99, P209
   Kenter JO, 2011, GLOBAL ENVIRON CHANG, V21, P505, DOI 10.1016/j.gloenvcha.2011.01.001
   Kinch J, 2007, REV FISHEREIS MARINE
   Kinch J, 2001, PNG99G41
   Leisz SJ, 2009, SPATIAL ANAL LOCATIO
   McAdoo BG, 2011, EARTH-SCI REV, V107, P147, DOI 10.1016/j.earscirev.2010.11.005
   Mitchell David., 2001, SUSTAINABLE USE OPTI
   Mitchell RK, 1997, ACAD MANAGE REV, V22, P853, DOI 10.2307/259247
   Mogina J., 2001, Food security for Papua New Guinea. Proceedings of the Papua New Guinea Food and Nutrition 2000 Conference, PNG University of Technology, Lae, Papua New Guinea, 26-30 June 2000, P201
   *NAT RES I, 2010, PAP NEW GUIN DISTR P
   National Fisheries Authority, 2006, SOC SURV SMALL SCAL
   Office of Climate Change and Development, 2010, INT ACT PLAN CLIM CO
   Oliver-Smith Anthony., 2011, Migration and Climate Change, P160
   Organisation for Economic Cooperation and Development, 1993, OEC ENV MON, V83
   Perez A.A., 2010, Building resilience to climate change: Ecosystem-based adaptation and lessons from the field
   Polhemus DA, 2009, BISHOP MUS TECH REP, V42
   Richards K, 2009, BISHOP MUS TECH REP, V42
   Schwarz AM, 2011, GLOBAL ENVIRON CHANG, V21, P1128, DOI 10.1016/j.gloenvcha.2011.04.011
   Shaw A, 2009, GLOBAL ENVIRON CHANG, V19, P447, DOI 10.1016/j.gloenvcha.2009.04.002
   Skewes T., 2002, Research for sustainable use of beche-de-mer resources in Milne Bay Province, Papua New Guinea
   Skewes T, 2003, CLEVELAND CSIRO DIVI
   Skewes T., 2011, CSIRO Final Report to the CSIRO AusAID Alliance
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Spalding M., 2010, WORLD MANGROVE ATLAS
   TEEB, 2010, EC ECOSYSTEMS BIOD E
   Veron J.E.N, 2009, J CORAL REEF STUD, V11, P91, DOI DOI 10.3755/GALAXEA.11.91
   Wood AL, 2013, MAR POLICY, V42, P305, DOI 10.1016/j.marpol.2013.03.005
   World Bank, 2009, CONV SOLUT INC TRUTH
NR 84
TC 36
Z9 37
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 MAY
PY 2014
VL 46
BP 1
EP 13
DI 10.1016/j.marpol.2013.12.011
PG 13
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA AE3CE
UT WOS:000333853700001
DA 2025-01-10
ER

PT J
AU Waheed, M
   Haq, SM
   Arshad, F
   Vitasovic-Kosic, I
   Bussmann, RW
   Hashem, A
   Abd-Allah, EF
AF Waheed, Muhammad
   Haq, Sheikh Marifatul
   Arshad, Fahim
   Vitasovic-Kosic, Ivana
   Bussmann, Rainer W.
   Hashem, Abeer
   Abd-Allah, Elsayed Fathi
TI <i>Xanthium strumarium</i> L., an invasive species in the subtropics:
   prediction of potential distribution areas and climate adaptability in
   Pakistan
SO BMC ECOLOGY AND EVOLUTION
LA English
DT Article
DE Invasive plant; Species distribution model; Climate change; Subtropical
   region; MaxEnt model
ID DISTRIBUTION MODELS; MAXENT; PLANT; IMPACT; RANGE; BIAS
AB Invasive species such as Xanthium strumarium L., can disrupt ecosystems, reduce crop yields, and degrade pastures, leading to economic losses and jeopardizing food security and biodiversity. To address the challenges posed by invasive species such as X. strumarium, this study uses species distribution modeling (SDM) to map its potential distribution in Pakistan and assess how it might respond to climate change. This addresses the urgent need for proactive conservation and management strategies amidst escalating ecological threats. SDM forecasts a species' potential dispersion across various geographies in both space and time by correlating known species occurrences to environmental variables. SDMs have the potential to help address the challenges posed by invasive species by predicting the future habitat suitability of species distributions and identifying the environmental factors influencing these distributions. Our study shows that seasonal temperature dependence, mean temperature of wettest quarter and total nitrogen content of soil are important climatic factors influencing habitat suitability of X. strumarium. The potential habitat of this invasive species is likely to expand beyond the areas it currently colonizes, with a notable presence in the Punjab and Khyber Pakhtunkhwa regions. These areas are particularly vulnerable due to threats to agriculture and biodiversity. Under current conditions, an estimated 21% of Pakistan's land area is infested by X. strumarium, mainly in upper Punjab, central Punjab and Khyber Pakhtunkhwa. The range is expected to expand in most regions except Sindh. The central and northeastern parts of the country are proving to be particularly suitable habitats for X. strumarium. Effective strategies are crucial to contain the spread of X. strumarium. The MaxEnt modeling approach generates invasion risk maps by identifying potential risk zones based on a species' climate adaptability. These maps can aid in early detection, allowing authorities to prioritize surveillance and management strategies for controlling the spread of invasive species in suitable habitats. However, further research is recommended to understand the adaptability of species to unexplored environments.
C1 [Waheed, Muhammad; Arshad, Fahim] Univ Okara, Dept Bot, Okara 56300, Pakistan.
   [Haq, Sheikh Marifatul; Bussmann, Rainer W.] Ilia State Univ, Inst Bot, Dept Ethnobot, Tbilisi, Georgia.
   [Vitasovic-Kosic, Ivana] Univ Zagreb, Fac Agr, Dept Agr Bot, Div Hort & Landscape Architecture, Svetosimunska Cesta 25, Zagreb 10000, Croatia.
   [Bussmann, Rainer W.] State Museum Nat Hist, Dept Bot, Karlsruhe, Germany.
   [Hashem, Abeer] King Saud Univ, Coll Sci, Bot & Microbiol Dept, POB 2460, Riyadh 11451, Saudi Arabia.
   [Abd-Allah, Elsayed Fathi] King Saud Univ, Coll Food & Agr Sci, Plant Protect Dept, POB 2460, Riyadh 11451, Saudi Arabia.
C3 Ilia State University; University of Zagreb; King Saud University; King
   Saud University
RP Waheed, M (corresponding author), Univ Okara, Dept Bot, Okara 56300, Pakistan.
EM f19-phd-bot-5013@uo.edu.pk
FU King Saud University, Riyadh, Saudi Arabia [RSP2024R134]
FX The authors would like to extend their sincere appreciation to the
   Researchers Supporting Project Number (RSP2024R134), King Saud
   University, Riyadh, Saudi Arabia. This paper is part of the Ph.D. work
   of the first author. The author is thankful to the University of Okara
   for providing research facilities.
CR Adhikari P, 2023, BIOLOGY-BASEL, V12, DOI 10.3390/biology12010084
   Albert CH, 2017, CONSERV BIOL, V31, P1383, DOI 10.1111/cobi.12943
   Anderson RP, 2011, ECOL MODEL, V222, P2796, DOI 10.1016/j.ecolmodel.2011.04.011
   Arshad F, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14127215
   Bahia R, 2022, BIOL CONSERV, V265, DOI 10.1016/j.biocon.2021.109399
   Bai DF, 2018, ZOOL RES, V39, P373, DOI 10.24272/j.issn.2095-8137.2018.057
   Baloch G. M., 1968, Technical Bulletin Commonwealth Institute Biological Control, VNo. 10, P103
   Bao R, 2022, PEERJ, V10, DOI 10.7717/peerj.13337
   Bosso L, 2016, BIOL INVASIONS, V18, P1759, DOI 10.1007/s10530-016-1118-1
   Bradley BA, 2010, BIOL INVASIONS, V12, P1855, DOI 10.1007/s10530-009-9597-y
   BYRD JD, 1991, WEED TECHNOL, V5, P270, DOI 10.1017/S0890037X00028098
   Chaudhry S, 2022, PLANT CELL REP, V41, P1, DOI 10.1007/s00299-021-02759-5
   Cho KH, 2022, FRONT ECOL EVOL, V10, DOI 10.3389/fevo.2022.1036816
   Chu Jianmin, 2017, Biodiversity Science, V25, P799, DOI 10.17520/biods.2015218
   Cotto O, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15399
   Drenovsky RE, 2012, ANN BOT-LONDON, V110, P141, DOI 10.1093/aob/mcs100
   Duan XG, 2022, FORESTS, V13, DOI 10.3390/f13030402
   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
   Falk W, 2011, J VEG SCI, V22, P621, DOI 10.1111/j.1654-1103.2011.01294.x
   Fitzpatrick MC, 2012, ECOL APPL, V22, P472, DOI 10.1890/11-0009.1
   Fourcade Y, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0097122
   Gervais JA, 2020, BIOL INVASIONS, V22, P2163, DOI 10.1007/s10530-020-02244-2
   Gioria M, 2023, ANNU REV PLANT BIOL, V74, P635, DOI 10.1146/annurev-arplant-070522-071021
   Graham MH, 2003, ECOLOGY, V84, P2809, DOI 10.1890/02-3114
   Grenouillet G, 2011, ECOGRAPHY, V34, P9, DOI 10.1111/j.1600-0587.2010.06152.x
   Guisan A, 2013, ECOL LETT, V16, P1424, DOI 10.1111/ele.12189
   Haq SM, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-11376-6
   Haq SM, 2023, BIOLOGY-BASEL, V12, DOI 10.3390/biology12040610
   Haq SM, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12061222
   Haq SM, 2022, ECOL INDIC, V145, DOI 10.1016/j.ecolind.2022.109670
   Haq SM, 2023, Acta Ecologica Sinica
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Holm L. G., 1977, The world's worst weeds. Distribution and biology.
   Hussain Z, 2014, TURK J AGRIC FOR, V38, P39, DOI 10.3906/tar-1210-53
   Kaky E, 2020, ECOL INFORM, V60, DOI 10.1016/j.ecoinf.2020.101150
   Kong F, 2021, ENVIRON SCI POLLUT R, V28, P34655, DOI 10.1007/s11356-021-13121-3
   Kriticos DJ, 2003, J APPL ECOL, V40, P111, DOI 10.1046/j.1365-2664.2003.00777.x
   Li YM, 2014, GLOBAL ECOL BIOGEOGR, V23, P1094, DOI 10.1111/geb.12191
   Li YX, 2022, ENVIRON SCI POLLUT R, V29, P21751, DOI 10.1007/s11356-021-17294-9
   Lioubimtseva E, 2009, J ARID ENVIRON, V73, P963, DOI 10.1016/j.jaridenv.2009.04.022
   Liu CL, 2020, P NATL ACAD SCI USA, V117, P23643, DOI 10.1073/pnas.2004289117
   Liu Z.L., 2022, RESOUR WANAGEMENT, V1, P35
   Merow C, 2013, ECOGRAPHY, V36, P1058, DOI 10.1111/j.1600-0587.2013.07872.x
   Midgley GF, 2015, NAT CLIM CHANGE, V5, P823, DOI [10.1038/nclimate2753, 10.1038/NCLIMATE2753]
   Mod HK, 2016, J VEG SCI, V27, P1308, DOI 10.1111/jvs.12444
   Muscarella R, 2014, METHODS ECOL EVOL, V5, P1198, DOI 10.1111/2041-210X.12261
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Peterson AT, 2007, ECOGRAPHY, V30, P550, DOI 10.1111/j.2007.0906-7590.05102.x
   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
   Phillips SJ, 2009, ECOL APPL, V19, P181, DOI 10.1890/07-2153.1
   Qureshi H, 2019, ANN BOT-COENOL PLANT, V9, P73, DOI 10.13133/2239-3129/14411
   Rasul G., 2012, CLIMATE CHANGE PAKIS
   Rejmanek M, 2013, Veg Ecol, P387, DOI [10.1002/9781118452592.ch13, DOI 10.1002/9781118452592.CH13]
   Ricciardi A, 2021, ENVIRON REV, V29, P119, DOI 10.1139/er-2020-0088
   Robbins P, 2004, GEOGR REV, V94, P139, DOI 10.1111/j.1931-0846.2004.tb00164.x
   Saeed A, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0241601
   Shafique S, 2007, PAK J BOT, V39, P2607
   Shakoor U, 2011, PAK J AGR SCI, V48, P327
   Siddiqui S., 2018, Int. J. Econ. Environ. Geol, V9, P1
   Srivastava V., 2019, CAB Reviews, V14, P1, DOI 10.1079/PAVSNNR201914020
   Storch D, 2022, ECOGRAPHY, V2022, DOI 10.1111/ecog.05778
   Sultana H, 2009, CLIMATIC CHANGE, V94, P123, DOI 10.1007/s10584-009-9559-5
   Summers DM, 2012, GLOBAL CHANGE BIOL, V18, P2335, DOI 10.1111/j.1365-2486.2012.02700.x
   Turbelin A, Climate change 2021, P515
   Ullah R, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14127141
   Ullah R, 2022, PLANT DIRECT, V6, DOI 10.1002/pld3.375
   Ullah R, 2022, ARAB J SCI ENG, V47, P255, DOI 10.1007/s13369-021-05839-6
   Venne S, 2021, DIVERS DISTRIB, V27, P873, DOI 10.1111/ddi.13238
   Waheed M., 2023, Geology, Ecology, and Landscapes, V1, P1, DOI [10.1080/24749508.2023.2179752, DOI 10.1080/24749508.2023.2179752]
   Waheed M, 2023, LAND-BASEL, V12, DOI 10.3390/land12071433
   Waheed M, 2023, ECOL INDIC, V148, DOI 10.1016/j.ecolind.2023.110053
   [熊巧利 Xiong Qiaoli], 2019, [生态学报, Acta Ecologica Sinica], V39, P9033
   Yang XQ, 2013, ECOL ENG, V51, P83, DOI 10.1016/j.ecoleng.2012.12.004
NR 75
TC 0
Z9 0
U1 8
U2 8
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
EI 2730-7182
J9 BMC ECOL EVOL
JI BMC Ecol. Evol.
PD OCT 10
PY 2024
VL 24
IS 1
AR 124
DI 10.1186/s12862-024-02310-6
PG 17
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA J4P4F
UT WOS:001336897700002
PM 39390368
OA Green Accepted, gold
DA 2025-01-10
ER

PT J
AU McKinnon, AC
AF McKinnon, Alan C.
TI Logistics and climate: an assessment of logistics' multiple roles in the
   climate crisis
SO INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
LA English
DT Article
DE Logistics; climate change; decarbonisation; climate adaptation; carbon
   sequestration; research horizon
ID TRANSPORT
AB Efforts to mitigate climate change and manage its consequences are becoming increasingly reliant on logistics. Logistics' contribution is currently under-estimated by policymakers and researchers. The paper identifies eight roles for logistics in the climate crisis, ranging from being a cause and victim of climate change, to its involvement in decarbonisation, adaptation, carbon sequestration, humanitarian relief and possibly geo-engineering. A broad, multi-disciplinary literature is reviewed to assess current knowledge of the nature and scale of logistics' input into these climate-related activities. Many of them will be highly material- and transport-intensive, stretching future logistical capabilities and making it harder for logistics as a sector to meet Net Zero emission targets. The paper examines the inter-relationship between logistics' various climate-specific roles, highlighting conflicts and synergies. Its concluding section makes the case for extending the scope of logistics research on climate issues and strengthening its links with climate science, environmental studies and related disciplines.
C1 [McKinnon, Alan C.] Kuehne Logist Univ, Grosser Grasbrook 17, D-20457 Hamburg, Germany.
C3 Kuhne Logistics University
RP McKinnon, AC (corresponding author), Kuehne Logist Univ, Grosser Grasbrook 17, D-20457 Hamburg, Germany.
EM alan.mckinnon@klu.org
CR Al Baroudi H, 2021, APPL ENERG, V287, DOI 10.1016/j.apenergy.2021.116510
   [Anonymous], 2023, FFOULKES
   [Anonymous], 2022, World Energy Outlook 2022, DOI DOI 10.1787/3A469970-EN
   [Anonymous], 2021, Methane and climate change - Methane Tracker 2021 - Analysis
   [Anonymous], 2009, Geoengineering the Climate: Science, Governance and Uncertainty
   [Anonymous], 2018, Global Warming of 1.5oC Summary for policymakers: The impacts of global warming of 1.5C 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
   Baresic D., 2022, CLIMATE ACTION SHIPP
   Baur S, 2023, EARTH SYST DYNAM, V14, P367, DOI 10.5194/esd-14-367-2023
   Becattini V, 2022, INT J GREENH GAS CON, V117, DOI 10.1016/j.ijggc.2022.103635
   Becker A, 2016, GLOBAL ENVIRON CHANG, V40, P125, DOI 10.1016/j.gloenvcha.2016.07.008
   Bergero C, 2023, NAT SUSTAIN, V6, DOI 10.1038/s41893-022-01046-9
   Biermann F, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.754
   Bond TC, 2013, J GEOPHYS RES-ATMOS, V118, P5380, DOI 10.1002/jgrd.50171
   Business Continuity Institute, 2023, BCI SUPPLY CHAIN RES
   Carbone V., 2021, ESCP IMPACT PAPER NO
   Carrara S., 2020, EUR 30095 EN, DOI DOI 10.2760/160859
   Chatterjee S, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-17203-7
   Choi TY, 2023, PROD OPER MANAG, V32, P2331, DOI 10.1111/poms.13979
   Circle Economy, 2022, The Circularity Gap Report Poland
   CO2 Earth, 2023, DAILY CO2
   CSCMP, 2024, CSCMP SUPPLY CHAIN M
   d'Amore F, 2017, INT J GREENH GAS CON, V65, P99, DOI 10.1016/j.ijggc.2017.08.015
   DBEIS / DEFRA, 2022, UK GOVT GHG CONVERSI
   DHL, 2022, CISC VIS NETW IND GL
   Dyke J., 2021, the conversation
   European Environment Agency, 2023, ATMOSPHERIC CONCENTR
   Fajardy M., 2019, Grantham Institute Briefing Paper 28
   Fox D., 2023, SCI AM
   Fransham M, 2020, POPUL SPACE PLACE, V26, DOI 10.1002/psp.2327
   Freer M, 2021, SUSTAIN ENERGY TECHN, V47, DOI 10.1016/j.seta.2021.101406
   GLEC, 2023, GLOBAL LOGISTICS EMI
   Global CCS Institute, 2015, TRANSPORTING CO2
   Goldstein A, 2019, NAT CLIM CHANGE, V9, P18, DOI 10.1038/s41558-018-0340-5
   Greene S., 2017, BLACK CARBON METHODO
   Hansen C O., 2016, Arctic Shipping - Commercial Opportunities and Challenges
   Hein C., 2020, LOGISTICS RES, V13, DOI [https://doi.org/10.23773/20203, DOI 10.23773/20203]
   Hooijer A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23810-9
   IEA, 2020, GLOB EN REV 2020
   IEA, 2023, DIRECT AIR CAPTURE
   IEA, 2023, CO 2 EMISSIONS 2022
   Institute of Economics and Peace, 2020, ECOLOGICAL THREAT RE
   International Energy Agency, 2018, The Future of Cooling: Opportunities for Energy-Efficient Air-Conditioning
   International Federation of the Red Cross, 2019, COST DOING NOTHING H
   International Rescue Committee, 2023, EMERGENCY WATCHLIST
   IPCC, 2019, SPECIAL REPORT OCEAN
   IRENA, 2021, PATHWAY DECARBONIZE
   ITF, 2023, TRANSPORT OUTLOOK 20
   ITF, 2019, TRANSPORT OUTLOOK 20
   ITF, 2021, TRANSPORT OUTLOOK 20
   JRC /IEA, 2023, JRC SCI POLICY REPOR
   Koetse MJ, 2009, TRANSPORT RES D-TR E, V14, P205, DOI 10.1016/j.trd.2008.12.004
   Larson P.D., 2004, INT J LOGIST-RES APP, V7, P17, DOI [https://doi.org/10.1080/13675560310001619240, DOI 10.1080/13675560310001619240, 10.1080/13675560310001619240]
   Lee DS, 2021, ATMOS ENVIRON, V244, DOI 10.1016/j.atmosenv.2020.117834
   MacMartin DG, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2016.0454
   MahmoumGonbadi A, 2021, J CLEAN PROD, V323, DOI 10.1016/j.jclepro.2021.129101
   Manners-Bell J., 2023, DEATH GLOBALIZATION
   McKinnon A., 2018, DECARBONIZING LOGIST, V1st
   McKinnon A. C., 2010, ADAPTIVE LOGISTICS P
   McKinnon A. C., 2023, DECARBONIZATION LOGI, DOI [https://doi.org/10.1596/40530, DOI 10.1596/40530]
   McKinsey & Company, 2023, WORLD NEEDS CAPTURE
   McKinsey Global Institute, 2020, COULD CLIMATE BECOME
   Minx JC, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf9b
   Mortensen K. K., 2023, DIGITAL CHALLENGES E
   Naveo Consultancy, 2020, AIR TRANSPORT FLEET
   Net Zero Tracker, 2023, GLOBAL NET ZERO COVE
   Nicholson S., 2019, MAPPING SUPPLY CHAIN
   Ozkan M, 2022, ISCIENCE, V25, DOI 10.1016/j.isci.2022.103990
   Power Technology, 2023, POWER PLANT PROFILE
   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]
   Qi XL, 2024, OCEAN COAST MANAGE, V247, DOI 10.1016/j.ocecoaman.2023.106936
   Rai HB, 2023, ENVIRON SCI TECHNOL, V57, P708, DOI 10.1021/acs.est.2c00299
   Realmonte G, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10842-5
   Robertson Bruce., 2022, The carbon capture crux: Lessons learned
   Rodriguez-Espindola O, 2023, ANN OPER RES, DOI 10.1007/s10479-023-05459-3
   Smith W, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae98d
   Stanley KM, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-019-13899-4
   Stolaroff JK, 2021, FRONT ENERGY RES, V9, DOI 10.3389/fenrg.2021.639943
   Strahan D., 2016, CLEAN COLD GLOBAL GO
   Toelke M., 2021, DECARBONIZING OPERAT
   Turnbull K., 2016, TRANSPORTATION RESIL
   UNCTAD, 2023, Review of maritime transport 2023
   UNECE, 2020, CLIMATE CHANGE IMPAC
   UNEP, 2024, FACTS CLIMATE EMERGE
   UNEP, 2023, BROKEN RECORD EMISSI
   UNHCR, 2020, CLIMATE CHANGE IS MU
   van Loon P, 2015, J CLEAN PROD, V106, P478, DOI 10.1016/j.jclepro.2014.06.060
   Verschuur J, 2020, TRANSPORT RES D-TR E, V85, DOI 10.1016/j.trd.2020.102393
   Webster J., 2023, ENERGY POST
   World Bank, 2024, CONNECTIVITY LOGISTI
   Yan QF, 2023, J HUMANIT LOGIST SUP, V13, P331, DOI 10.1108/JHLSCM-01-2022-0003
   Zihm H., 2019, OPERATIONS LOGISTICS
NR 91
TC 1
Z9 1
U1 16
U2 16
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1367-5567
EI 1469-848X
J9 INT J LOGIST-RES APP
JI Int. J. Logist.-Res. Appl.
PD DEC 1
PY 2024
VL 27
IS 12
SI SI
BP 2556
EP 2570
DI 10.1080/13675567.2024.2367534
EA AUG 2024
PG 15
WC Management
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA P9R9S
UT WOS:001294274000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Dentoni, D
AF Dentoni, Domenico
TI Heat and Organization Studies: Organizing in a world approaching 50°C
SO ORGANIZATION STUDIES
LA English
DT Article
DE global warming; organizational resilience; socio-ecological resilience;
   climate adaptation; materiality
ID CLIMATE-CHANGE; ANIMALS; TEMPERATURE; CREATIVITY; MANAGEMENT; MATTER;
   ETHICS; DEATH; RISK
AB As a symptom of the current global climate emergency, rising temperatures pervade organizational lives. Yet organization studies have hardly investigated the everyday organizing necessary to cope and adapt, here and now, to life in a world approaching and even surpassing 50 degrees C. This article seeks to open spaces of collective inquiry to grapple with practices of organizational co-evolution with heat. I apply Barad's post-humanist notion of diffraction-patterns of interference in entangled agency-through warming organizations, as rising temperatures intra-act with the matter, materials, bodies, and discourses that co-constitute them. Diffractive inquiry helps organization studies understand how rising heat alters and amplifies bodily differences across families, communities, firms, societies, and ecologies. This post-humanist view forces us to rethink theories of organizational resilience, inequality, and identity in co-evolution with heat and other ecological phenomena as part of a relational whole.
C1 [Dentoni, Domenico] Montpellier Business Sch, business resilience & transformat, Montpellier, France.
C3 Montpellier Business School
RP Dentoni, D (corresponding author), Montpellier Business Sch, 2300 Ave Moulins, F-34000 Montpellier, France.
EM d.dentoni@montpellier-bs.com
OI Dentoni, Domenico/0000-0003-0637-0101
FU French government (LabEx Entreprendre) [ANR-10-Labex-11-01]
FX The author disclosed receipt of the following financial support for the
   research, authorship, and/or publication of this article: The author is
   member of LabEx Entrepreneurship, funded by the French government (LabEx
   Entreprendre, ANR-10-Labex-11-01)
CR Alkhaled S, 2022, ORGAN STUD, V43, P1583, DOI 10.1177/01708406211040214
   [Anonymous], 1882, Mathematical and physical papers
   [Anonymous], 1991, Whose science? Whose knowledge? Thinking from women's lives
   Antoni A, 2020, BUS ETHICS Q, V30, P447, DOI 10.1017/beq.2020.1
   Banerjee SB, 2021, ORGAN THEOR, V2, DOI 10.1177/26317877211036714
   Bapuji H, 2020, J MANAGE, V46, P1205, DOI 10.1177/0149206320925881
   Barad K, 2003, SIGNS, V28, P801, DOI 10.1086/345321
   Barad K., 2007, M UNIVERSE HALFWAY Q
   Barad K, 2014, PARALLAX, V20, P168, DOI 10.1080/13534645.2014.927623
   Barad K, 2012, DIFFERENCES, V23, P206, DOI 10.1215/10407391-1892943
   Basir N, 2022, ORGAN STUD, V43, P1607, DOI 10.1177/01708406211044898
   Baudoin L, 2023, J MANAGE STUD, V60, P754, DOI 10.1111/joms.12887
   Beacham J, 2018, ORGANIZATION, V25, P533, DOI 10.1177/1350508418777893
   Bell E, 2020, ORGAN STUD, V41, P681, DOI 10.1177/0170840619866482
   Bentz J, 2019, ELEMENTA-SCI ANTHROP, V7, DOI 10.1525/elementa.390
   Berger C., 2022, Fortune
   Bhm S., 2023, Journal of Tropical Futures, V1, P143, DOI [10.1177/27538931231187314, DOI 10.1177/27538931231187314]
   Bigo V, 2018, ORGAN STUD, V39, P121, DOI 10.1177/0170840617717553
   Bohm S, 2020, ACAD MANAGE PERSPECT, V34, P546, DOI 10.5465/amp.2019.0029
   Campbell N, 2019, ORGAN STUD, V40, P725, DOI 10.1177/0170840618765553
   Candrian C, 2014, HUM RELAT, V67, P53, DOI 10.1177/0018726713485472
   Capra F., 1995, WEB LIFE
   Choi TJ, 2023, ORGAN SCI, V34, DOI 10.1287/orsc.2022.1644
   Chrispal S, 2021, ORGAN STUD, V42, P1501, DOI 10.1177/0170840620964038
   Cloutier C, 2020, ACAD MANAGE J, V63, P1196, DOI 10.5465/amj.2017.1051
   Cnossen B, 2021, ORGAN STUD, V42, P1337, DOI 10.1177/0170840620918380
   Colombo LA, 2023, ACAD MANAG LEARN EDU, V22, P132, DOI 10.5465/amle.2021.0430
   Costas J, 2013, ORGAN STUD, V34, P1467, DOI 10.1177/0170840613495324
   Crane A, 2022, HUM RELAT, V75, P1928, DOI 10.1177/00187267221081296
   Creed WED, 2022, ACAD MANAGE REV, V47, P358, DOI 10.5465/amr.2018.0367
   Cross D, 2021, ORGAN STUD, V42, P1699, DOI 10.1177/0170840620964985
   Cucchi C, 2022, ORGAN STUD, V43, P179, DOI 10.1177/01708406211031730
   de Vet E, 2020, GEOFORUM, V108, P267, DOI 10.1016/j.geoforum.2019.08.022
   Dupret K, 2019, ORGAN STUD, V40, P681, DOI 10.1177/0170840618759816
   Dutta S, 2017, ADMIN SCI QUART, V62, P443, DOI 10.1177/0001839216668172
   Ergene S, 2023, ORGAN STUD, V44, P1961, DOI 10.1177/01708406231175293
   Ergene S, 2021, ORGAN STUD, V42, P1319, DOI 10.1177/0170840620937892
   Fazey I, 2018, ENERGY RES SOC SCI, V40, P54, DOI 10.1016/j.erss.2017.11.026
   Ferns G, 2021, ORGAN STUD, V42, P1005, DOI 10.1177/0170840619855744
   Fields B., 2021, Adaptation Urbanism and Resilient Communities: Transforming Streets to Address Climate Change
   Fotaki M., 2020, BUSINESS ETHICS CARE
   Fotaki M, 2021, ORGAN STUD, V42, P1265, DOI 10.1177/0170840619882955
   Fotaki M, 2015, ACAD MANAG LEARN EDU, V14, P556, DOI 10.5465/amle.2014.0182
   Galafassi D, 2018, CURR OPIN ENV SUST, V31, P71, DOI 10.1016/j.cosust.2017.12.010
   Gioia DA, 2013, ACAD MANAG ANN, V7, P123, DOI 10.1080/19416520.2013.762225
   Hafermalz E, 2020, ORGAN STUD, V41, P1627, DOI 10.1177/0170840620973664
   Hällgren M, 2018, ACAD MANAG ANN, V12, P111, DOI 10.5465/annals.2016.0017
   Haque Umair., 2022, LIFE AGE EXTINCTION
   Haque Umair., 2022, HEAT FLOOD FIRE DROU
   Haraway DonnaJeanne., 1997, MODESTWITNESS SECOND
   Harding N, 2022, ORGAN STUD, V43, P649, DOI 10.1177/0170840621993235
   Harris KL, 2023, ORGAN STUD, V44, P1987, DOI 10.1177/01708406231169424
   Helfand Judith., 2020, COOKED SURVIVAL ZIP
   Hickman C, 2021, LANCET PLANET HEALTH, V5, pE863, DOI 10.1016/S2542-5196(21)00278-3
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Hwang H, 2020, J APPL BEHAV SCI, V56, P294, DOI 10.1177/0021886320936841
   Khan Gulnaz., 2021, HELPING KIDS DEAL CL
   Kornberger M, 2019, ORGAN STUD, V40, P239, DOI 10.1177/0170840618814573
   Labatut J, 2016, ORGANIZATION, V23, P315, DOI 10.1177/1350508416629967
   Marquis C, 2009, RES ORGAN BEHAV, V29, P283, DOI 10.1016/j.riob.2009.06.001
   McKie R, 2022, The Guardian
   Mithani MA, 2020, ACAD MANAGE PERSPECT, V34, P508, DOI 10.5465/amp.2019.0054
   Moernaut R, 2022, INFORM COMMUN SOC, V25, P1047, DOI 10.1080/1369118X.2020.1834600
   Mora C, 2017, NAT CLIM CHANGE, V7, P501, DOI [10.1038/nclimate3322, 10.1038/NCLIMATE3322]
   Müller M, 2019, ORGAN STUD, V40, P1513, DOI 10.1177/0170840619856036
   Nelson LK, 2023, AM SOCIOL REV, V88, P627, DOI 10.1177/00031224231184264
   Norgaard Kari Marie, 2011, Living in Denial: Climate Change, Emotions, and Everyday Life, DOI [DOI 10.7551/MITPRESS/9780262015448.001.0001, 10.7551/mitpress/9780262015448.001.0001]
   NYBERG D, 2022, ORG RESPONSES CLIMAT
   Pereira LM, 2023, MAR POLICY, V153, DOI 10.1016/j.marpol.2023.105644
   Phithakkitnukoon S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039253
   Poldner K, 2017, J CLEAN PROD, V140, P1936, DOI 10.1016/j.jclepro.2016.08.121
   Popovich N, 2019, New York Times
   Prezts M., 2022, Business Ethics Quarterly, V32, P51015, DOI [10.1017/beq.2022.16, DOI 10.1017/BEQ.2022.16]
   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]
   Reed MI, 2012, ORGAN STUD, V33, P203, DOI 10.1177/0170840611430590
   Rockstroem J, 2023, NATURE, V619, P102, DOI 10.1038/s41586-023-06083-8
   Sanz-Barbero B, 2018, SCI TOTAL ENVIRON, V644, P413, DOI 10.1016/j.scitotenv.2018.06.368
   Schmid B, 2021, CULT GEOGR, V28, P3, DOI 10.1177/1474474020918888
   Smith LC, 2012, CULT GEOGR, V19, P329, DOI 10.1177/1474474011429407
   Smith WR, 2022, ORGAN STUD, V43, P1815, DOI 10.1177/01708406211035497
   Stillman JH, 2019, PHYSIOLOGY, V34, P86, DOI 10.1152/physiol.00040.2018
   Taylor CA, 2013, GENDER EDUC, V25, P665, DOI 10.1080/09540253.2013.834617
   Twine R, 2010, FEM PSYCHOL, V20, P397, DOI 10.1177/0959353510368284
   van Daalen KR, 2022, LANCET PLANET HEALTH, V6, pE504, DOI 10.1016/S2542-5196(22)00088-2
   Vega A, 2022, GEOFORUM, V129, P39, DOI 10.1016/j.geoforum.2022.01.003
   Visser LM, 2021, ORGAN STUD, V42, P1817, DOI 10.1177/0170840621997616
   Watts V, 2013, DECOLONIZATION, V2, P20
   Weick KE, 2004, ORGAN STUD, V25, P653, DOI 10.1177/0170840604042408
   Weller SL, 2023, HUM RELAT, V76, P551, DOI 10.1177/00187267211043072
   Wenzel M, 2020, ORGAN STUD, V41, P1441, DOI 10.1177/0170840620912977
   Whiteman G., 2018, The Routledge Companion to Risk, Crisis and Emergency Management, P213
   Wieland A, 2021, J SUPPLY CHAIN MANAG, V57, P58, DOI 10.1111/jscm.12248
   Williams TA, 2017, ACAD MANAG ANN, V11, P733, DOI 10.5465/annals.2015.0134
   Williams TA, 2021, ORGAN SCI, V32, P824, DOI 10.1287/orsc.2020.1409
   Wright AL, 2021, ADMIN SCI QUART, V66, P42, DOI 10.1177/0001839220916401
   Wu Y, 2022, INT EL DEVICES MEET, DOI 10.1109/IEDM45625.2022.10019450
   Zhao Q, 2021, LANCET PLANET HEALTH, V5, pE415, DOI 10.1016/S2542-5196(21)00081-4
NR 97
TC 2
Z9 2
U1 17
U2 17
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 OCT
PY 2024
VL 45
IS 10
DI 10.1177/01708406241261442
EA JUL 2024
PG 16
WC Management
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA H7U5H
UT WOS:001278034800001
DA 2025-01-10
ER

PT J
AU Onyeneke, RU
   Amadi, MU
   Njoku, CL
AF Onyeneke, Robert Ugochukwu
   Amadi, Mark Umunna
   Njoku, Chukwudi Loveday
TI Determinants of climate risk management in paddy and milled rice
   marketing in Nigeria
SO INTERNATIONAL JOURNAL OF GLOBAL WARMING
LA English
DT Article
DE rice marketing; climate change; perception; adaptation; barriers;
   multivariate probit regression; Nigeria
AB The paper examined climate risk management in rice marketing in Ebonyi State, Nigeria using primary data from 112 paddy rice and 172 milled rice traders. Multivariate probit model was adopted for data analysis. The most perceived climate risks include rising temperature, prolonged dry season, and unpredictability of rainfall. Reliance on climate information, storing of (paddy and milled) rice, selling-off purchased (paddy and milled) rice, buying (paddy and milled) rice for sale in small quantities and livelihood diversification were the climate adaptation strategies adopted by rice sellers. We found that socio-economic characteristics and government support influenced choice of adaptation. The main barriers of adaptation include inadequate capital, inadequate storage facilities, price fluctuation and high transportation cost. Government should intensify efforts in providing basic infrastructure in rural areas. Also, efforts should be made to initiate effective climate and market information networks, encourage formation of cooperatives and provision of loans to rice traders.
C1 [Onyeneke, Robert Ugochukwu; Amadi, Mark Umunna; Njoku, Chukwudi Loveday] Alex Ekwueme Fed Univ Ndufu Alike, Dept Agr, Agr Econ & Extens Programme, Abakaliki, Nigeria.
RP Onyeneke, RU (corresponding author), Alex Ekwueme Fed Univ Ndufu Alike, Dept Agr, Agr Econ & Extens Programme, Abakaliki, Nigeria.
EM robertonyeneke@yahoo.com; mikkmore@yahoo.com; chukzy4now1980@gmail.com
RI Onyeneke, Robert/AAS-6211-2021
OI Amadi, Mark Umunna/0000-0003-1775-6325
FU Tertiary Education Trust Fund (TET Fund) of the Federal Republic of
   Nigeria [FUNAI/FA/BI/ 18/002]; TET Fund
FX This paper is part of the output of the research funded by the Tertiary
   Education Trust Fund (TET Fund) of the Federal Republic of Nigeria. The
   Grant ID is FUNAI/FA/BI/ 18/002. We are grateful to TET Fund for funding
   the research.
CR Ali A, 2016, WATER PRACT TECHNOL, V11, P610, DOI 10.2166/wpt.2016.058
   Ayanlade A, 2017, WEATHER CLIM EXTREME, V15, P24, DOI 10.1016/j.wace.2016.12.001
   Boansi D, 2017, WEATHER CLIM EXTREME, V16, P1, DOI 10.1016/j.wace.2017.03.001
   CGIAR, 2016, RIC AGR FOOD SYST CR
   Chidiebere-Mark N.M., 2014, P 14 ANN NAT C NIG A
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Liverpool-Tasie LSO, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110430
NR 7
TC 1
Z9 1
U1 0
U2 1
PU INDERSCIENCE ENTERPRISES LTD
PI GENEVA
PA WORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215
   GENEVA, SWITZERLAND
SN 1758-2083
EI 1758-2091
J9 INT J GLOBAL WARM
JI Int. J. Glob. Warm.
PY 2022
VL 28
IS 4
BP 342
EP 363
DI 10.1504/IJGW.2022.127063
PG 23
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 6N1FC
UT WOS:000889305400003
DA 2025-01-10
ER

PT S
AU O'Reilly, J
   Isenhour, C
   McElwee, P
   Orlove, B
AF O'Reilly, Jessica
   Isenhour, Cindy
   McElwee, Pamela
   Orlove, Ben
BE Brenneis, D
   Strier, KB
TI Climate Change: Expanding Anthropological Possibilities
SO ANNUAL REVIEW OF ANTHROPOLOGY, VOL 49, 2020
SE Annual Review of Anthropology
LA English
DT Article; Book Chapter
DE adaptation; resilience; science and technology studies; climate
   movements; energy transitions; carbon mitigation
ID INDIGENOUS KNOWLEDGE; CULTURAL THEORY; ADAPTATION; POLITICS; CARBON;
   ANTHROPOCENE; SCIENCE; GREEN; RISK; VULNERABILITY
AB Climate anthropology has broadened over the past decade from predominately locally focused studies on climate impacts to encompass new approaches to climate science, mitigation, sustainability transformations, risks, and resilience. We examine how theoretical positionings, including from actor-network theory, new materialisms, ontologies, and cosmopolitics, have helped expand anthropological climate research, particularly in three key interrelated areas. First, we investigate ethnographic approaches to climate science knowledge production, particularly around epistemic authority, visioning of futures, and engagements with the material world. Second, we consider climate adaptation studies that critically examine discourses and activities surrounding concepts of vulnerability, subjectivities, and resilience. Third, we analyze climate mitigation, including energy transitions, technological optimism, market-based solutions, and other ways of living in a carbon-constrained world. We conclude that anthropological approaches provide novel perspectives, made possible through engagements with our uniquely situated research partners, as well as opportunities for opening up diverse solutions and possible transformative futures.
C1 [O'Reilly, Jessica] Indiana Univ, Hamilton Lugar Sch Global & Int Studies, Dept Int Studies, Bloomington, IN 47405 USA.
   [Isenhour, Cindy] Univ Maine, Dept Anthropol, Orono, ME 04469 USA.
   [Isenhour, Cindy] Univ Maine, Climate Change Inst, Orono, ME 04469 USA.
   [McElwee, Pamela] Rutgers State Univ, Sch Environm & Biol Sci, Dept Human Ecol, New Brunswick, NJ 08901 USA.
   [Orlove, Ben] Columbia Univ, Sch Int & Publ Affairs, New York, NY 10025 USA.
C3 Indiana University System; Indiana University Bloomington; University of
   Maine System; University of Maine Orono; University of Maine System;
   University of Maine Orono; Rutgers University System; Rutgers University
   New Brunswick; Columbia University
RP O'Reilly, J (corresponding author), Indiana Univ, Hamilton Lugar Sch Global & Int Studies, Dept Int Studies, Bloomington, IN 47405 USA.
EM jloreill@indiana.edu; cynthia.isenhour@maine.edu;
   pamela.mcelwee@rutgers.edu; bso5@columbia.edu
RI McElwee, Pamela/AAP-1695-2020; McElwee, Pamela/A-9442-2009
OI McElwee, Pamela/0000-0003-3525-9285; Isenhour, Cindy/0000-0001-8413-1558
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], 2013, SOCIAL LIFE CLIMATE
   [Anonymous], 2004, EARTHLY POLITICS LOC
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], 2018, Global warming of 1.5 degree. an ipcc special report on the impacts of global warming of 1.5 degree 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
   Baer H., 2018, The Anthropology of Climate Change: An Integrated Critical Perspective
   BARNES J., 2015, CLIMATE CULTURES ANT
   Barnes J, 2013, NAT CLIM CHANGE, V3, P541, DOI [10.1038/nclimate1775, 10.1038/NCLIMATE1775]
   Barnett J, 2016, NAT CLIM CHANGE, V6, P976, DOI 10.1038/nclimate3140
   Battaglia D, 2017, HIST ANTHROPOL, V28, P263, DOI 10.1080/02757206.2017.1289935
   Batterbury S, 2008, AUST J ANTHROPOL, V19, P62, DOI 10.1111/j.1835-9310.2008.tb00108.x
   Bjorst L. R., 2010, ETUDESINUITSTUDIES, V34, P133
   Blaser M, 2018, INTRO PLURIVERSE PRO
   Boulton E, 2016, WIRES CLIM CHANGE, V7, P772, DOI 10.1002/wcc.410
   Boyer D, 2014, ANTHROPOL QUART, V87, P309, DOI 10.1353/anq.2014.0020
   Boyer Dominic., 2019, Energopolitics: Wind and Power in the Anthropocene
   Brugger J, 2013, GLOBAL ENVIRON CHANG, V23, P1830, DOI 10.1016/j.gloenvcha.2013.07.012
   Buscher B., 2012, CAPITALISM NATURE SO, V23, P4, DOI [10.1080/10455752.2012.674149, DOI 10.1080/10455752.2012.674149, https://doi.org/10.1080/10455752.2012.674149]
   Byg A, 2009, GLOBAL ENVIRON CHANG, V19, P156, DOI 10.1016/j.gloenvcha.2009.01.010
   Cadena Marisolde la., 2018, A World of Many Worlds
   Cameron ES, 2012, GLOBAL ENVIRON CHANG, V22, P103, DOI 10.1016/j.gloenvcha.2011.11.004
   Cassidy R, 2012, ANNU REV ANTHROPOL, V41, P21, DOI 10.1146/annurev-anthro-092611-145706
   Checker M, 2015, NEW DIRECTION SUSTAI, P157
   Choy T, 2015, CULT ANTHROPOL, V30, P210, DOI 10.14506/ca30.2.04
   Choy Timothy., 2011, Ecologies of Comparison: Ethnography of Endangerment in Hong Kong
   Ciplet D, 2017, GLOBAL ENVIRON CHANG, V46, P148, DOI 10.1016/j.gloenvcha.2017.09.003
   Cons J, 2018, CULT ANTHROPOL, V33, P266, DOI 10.14506/ca33.2.08
   Crate S.A., 2016, ANTHR CLIMATE CHANGE
   Crate SA, 2008, CURR ANTHROPOL, V49, P569, DOI 10.1086/529543
   Crate SA, 2011, ANNU REV ANTHROPOL, V40, P175, DOI 10.1146/annurev.anthro.012809.104925
   Crook T, 2018, PACIFIC CLIMATE CULTURES: LIVING CLIMATE CHANGE IN OCEANIA, P1
   Cross J, 2019, J ROY ANTHROPOL INST, V25, P47, DOI 10.1111/1467-9655.13014
   Cruikshank J., 2007, DO GLACIERS LISTEN L
   Csutora M, 2012, J CONSUM POLICY, V35, P145, DOI 10.1007/s10603-012-9187-8
   Dalsgaard S, 2013, HAU-J ETHNOGR THEORY, V3, P80, DOI 10.14318/hau3.1.006
   Demmer U, 2017, J POLIT ECOL, V24, P610, DOI 10.2458/v24i1.20898
   DIRKS R, 1980, CURR ANTHROPOL, V21, P21, DOI 10.1086/202399
   Doane M, 2014, CONSERV SOC, V12, P233, DOI 10.4103/0972-4923.145133
   Escobar A., 2018, DESIGNS PLURIVERSE R, P312, DOI DOI 10.1215/9780822371816
   Farbotko C, 2012, GLOBAL ENVIRON CHANG, V22, P382, DOI 10.1016/j.gloenvcha.2011.11.014
   Farbotko C, 2010, ASIA PAC VIEWP, V51, P47, DOI 10.1111/j.1467-8373.2010.001413.x
   Fiske S., 2018, P WASH DC USGCRP SOC
   Fiske S. J., 2014, CHANGING ATMOSPHERE
   Fiske SJ, 2017, CARBON FIX: FOREST CARBON, SOCIAL JUSTICE, AND ENVIRONMENTAL GOVERNANCE, P1
   Ford JD, 2016, NAT CLIM CHANGE, V6, P349, DOI 10.1038/NCLIMATE2954
   Ford JD, 2010, GLOBAL ENVIRON CHANG, V20, P177, DOI 10.1016/j.gloenvcha.2009.10.008
   Ford JD, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/2/024006
   Gaither CJ, 2016, CITY SOC, V28, P174, DOI 10.1111/ciso.12077
   Goodman J, 2018, ENERGY RES SOC SCI, V45, P1, DOI 10.1016/j.erss.2018.08.010
   Graeter S, 2017, CULT ANTHROPOL, V32, P117, DOI 10.14506/ca32.1.09
   Green D, 2010, CLIMATIC CHANGE, V100, P239, DOI 10.1007/s10584-010-9804-y
   Greenleaf M, 2020, J PEASANT STUD, V47, P286, DOI 10.1080/03066150.2019.1579197
   Günel G, 2016, POLAR-POLIT LEG ANTH, V39, P33, DOI 10.1111/plar.12129
   Haraway D., 2003, The companion species manifesto: Dogs, people, and significant otherness, V1, P3
   Hastrup K., 2012, CURRENT ANTHR, V53, P226
   Hastrup K, 2013, WIRES CLIM CHANGE, V4, P269, DOI 10.1002/wcc.219
   Hicks CC, 2016, SCIENCE, V352, P38, DOI 10.1126/science.aad4977
   Hornborg A, 2009, INT J COMP SOCIOL, V50, P237, DOI 10.1177/0020715209105141
   Hornborg Alf., 2016, Global Magic: Technologies of Appropriation from Ancient Rome to Wall Street
   Howe C, 2015, J LAT AM CARIBB ANTH, V20, P231, DOI 10.1111/jlca.12146
   Howe C, 2015, CULT ANTHROPOL, V30, P203, DOI 10.14506/ca30.2.03
   Hughes DavidMcDermott., 2013, American Anthropologist, V115, P570
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Hulme M, 2015, CULT ANTHROPOL, V30, P236, DOI 10.14506/ca30.2.06
   Igoe J, 2017, CARBON FIX: FOREST CARBON, SOCIAL JUSTICE, AND ENVIRONMENTAL GOVERNANCE, P25
   Ingold T., 2002, PERCEPTION ENV ESSAY
   Isenhour C, 2015, NEW DIRECTION SUSTAI, P1, DOI 10.1017/CBO9781139923316
   Isenhour C, 2019, POWER POLITICS SUSTA, P21, DOI 10.4324/9781315165509-1
   Isenhour C, 2016, ECON ANTHROPOL, V3, P315, DOI 10.1002/sea2.12063
   Isenhour C, 2016, J CLEAN PROD, V134, P320, DOI 10.1016/j.jclepro.2014.12.037
   Isenhour C, 2010, J CONSUM BEHAV, V9, P454, DOI 10.1002/cb.336
   Jacka J., 2009, Anthropology and climate change: from encounters to actions, P197
   Jasanoff S, 2010, SCIENCE, V328, P695, DOI 10.1126/science.1189420
   Jenkins K, 2018, ENERG POLICY, V117, P66, DOI 10.1016/j.enpol.2018.02.036
   Johnson N, 2014, J POLIT ECOL, V21, P161, DOI 10.2458/v21i1.21130
   Jorgensen SL, 2016, CLIMATIC CHANGE, V138, P283, DOI 10.1007/s10584-016-1718-x
   Kallis G, 2018, ANNU REV ENV RESOUR, V43, P291, DOI 10.1146/annurev-environ-102017-025941
   Khan N, 2014, HAU-J ETHNOGR THEORY, V4, P245, DOI 10.14318/hau4.3.015
   KINGSTON PW, 1983, CONTEMP SOCIOL, V12, P414, DOI 10.2307/2067477
   Kohler F, 2017, CONSERV BIOL, V31, P245, DOI 10.1111/cobi.12843
   Kohn E, 2015, ANNU REV ANTHROPOL, V44, P311, DOI 10.1146/annurev-anthro-102214-014127
   Krupnik I, 2010, SIKU: KNOWING OUR ICE: DOCUMENTING INUIT SEA-ICE KNOWLEDGE AND USE, P1, DOI 10.1007/978-90-481-8587-0
   Lahsen M, 2005, SOC STUD SCI, V35, P895, DOI 10.1177/0306312705053049
   Lahsen M, 2008, GLOBAL ENVIRON CHANG, V18, P204, DOI 10.1016/j.gloenvcha.2007.10.001
   Latour B., 1991, We Have Never Been Modern
   Latour B., 2004, Politics of Nature: How to Bring the Sciences into Democracy, DOI 10.4159/9780674039964
   Lau WWY, 2013, OCEAN COAST MANAGE, V83, P5, DOI 10.1016/j.ocecoaman.2012.03.011
   Lazrus H, 2015, HUM ORGAN, V74, P52, DOI 10.17730/humo.74.1.q0667716284749m8
   Lazrus H, 2012, ANNU REV ANTHROPOL, V41, P285, DOI 10.1146/annurev-anthro-092611-145730
   Leach M, 2015, PATHWAY SUSTAIN, P1
   Leduc TimothyB., 2010, Climate Culture Change: Inuit and Western Dialogues with a Warming North
   Lempert W, 2018, CULT ANTHROPOL, V33, P202, DOI 10.14506/ca33.2.04
   Lindisfarne N, 2016, ANTHROPOL TODAY, V32, P27, DOI 10.1111/1467-8322.12302
   Lipset D, 2011, J ROY ANTHROPOL INST, V17, P20, DOI 10.1111/j.1467-9655.2010.01667.x
   Lockyer Joshua., 2015, Environmental Anthropology Engaging Ecotopia Bioregionalism, Permaculture and Ecovillages
   Lunstrum E, 2016, AREA, V48, P142, DOI 10.1111/area.12121
   Lynn K, 2013, CLIMATIC CHANGE, V120, P545, DOI 10.1007/s10584-013-0736-1
   Machaqueiro R, 2017, ECON ANTHROPOL, V4, P82, DOI 10.1002/sea2.12074
   Marino E, 2015, FIERCE CLIMATE SACRED GROUND: AN ETHNOGRAPHY OF CLIMATE CHANGE IN SHISHMAREF, ALASKA, P1
   Mathews AS, 2020, ANNU REV ANTHROPOL, V49, P67, DOI 10.1146/annurev-anthro-102218-011317
   Mathews AS, 2018, CULT ANTHROPOL, V33, P386, DOI 10.14506/ca33.3.05
   McElwee P., 2016, FORESTS ARE GOLD TRE
   McElwee P, 2020, DEV CHANGE, V51, P253, DOI 10.1111/dech.12548
   McNamara KE, 2014, CLIMATIC CHANGE, V123, P121, DOI 10.1007/s10584-013-1047-2
   McNeeley SM, 2014, WEATHER CLIM SOC, V6, P506, DOI 10.1175/WCAS-D-13-00027.1
   Mitcham C, 2013, SCI ENG ETHICS, V19, P313, DOI 10.1007/s11948-013-9446-3
   Mitchell Timothy., 2011, CARBON DEMOCRACY POL
   Miyazaki H., 2005, Global Assemblages: Technology, Politics and Ethics as Anthropological Probles
   Moore A, 2016, J ROY ANTHROPOL INST, V22, P27, DOI 10.1111/1467-9655.12332
   Morton Timothy., 2013, HYPEROBJECTS PHILOS
   Mortreux C, 2009, GLOBAL ENVIRON CHANG, V19, P105, DOI 10.1016/j.gloenvcha.2008.09.006
   Nelson DR, 2009, AM ANTHROPOL, V111, P271, DOI 10.1111/j.1548-1433.2009.01131.x
   O'Reilly J, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.550
   O'Reilly J, 2012, SOC STUD SCI, V42, P709, DOI 10.1177/0306312712448130
   O'Reilly Jessica., 2017, TECHNOCRATIC ANTARCT
   OliverSmith A, 1996, ANNU REV ANTHROPOL, V25, P303, DOI 10.1146/annurev.anthro.25.1.303
   Oppenheimer M., 2019, Discerning experts
   Orecho Samuel Mukulu, 2016, Journal of Human Ecology, V53, P116
   Orlove B, 2014, CURR ANTHROPOL, V55, P249, DOI 10.1086/676298
   Orlove B, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P131
   Patel V, 2015, NEW DIRECTION SUSTAI, P82
   Paulson S, 2017, J POLIT ECOL, V24, P425, DOI 10.2458/v24i1.20882
   Peterson ND, 2014, CONSERV SOC, V12, P229, DOI 10.4103/0972-4923.145128
   Petryna A, 2018, CULT ANTHROPOL, V33, P570, DOI 10.14506/ca33.4.06
   Pettenger M.E., 2007, The social construction of climate change: Power, knowledge, norms
   Pitluck AZ, 2018, ECON ANTHROPOL, V5, P157, DOI 10.1002/sea2.12114
   Povinelli E.A., 2016, GEONTOLOGIES REQUIEM
   Radonic L, 2019, ECON ANTHROPOL, V6, P291, DOI 10.1002/sea2.12146
   Rojas D, 2016, POLAR-POLIT LEG ANTH, V39, P16, DOI 10.1111/plar.12128
   Roscoe P, 2014, AM ANTHROPOL, V116, P535, DOI 10.1111/aman.12115
   Rudiak-Gould P, 2014, CURR ANTHROPOL, V55, P365, DOI 10.1086/676969
   Rudiak-Gould P, 2012, GLOBAL ENVIRON CHANG, V22, P46, DOI 10.1016/j.gloenvcha.2011.09.011
   Sager J, 2016, ECON ANTHROPOL, V3, P31, DOI 10.1002/sea2.12042
   Sahakian M, 2019, ENERG POLICY, V129, P1261, DOI 10.1016/j.enpol.2019.03.027
   Salazar JF, 2018, J CONTEMP ARCHAEOL, V5, P32, DOI 10.1558/jca.33538
   Schroeder H, 2014, ECOL SOC, V19, DOI 10.5751/ES-06537-190131
   Shaffer LJ, 2011, WEATHER CLIM SOC, V3, P223, DOI 10.1175/WCAS-D-10-05004.1
   Simonetti C, 2019, J ROY ANTHROPOL INST, V25, P241, DOI 10.1111/1467-9655.13024
   Smith J, 2017, ENERGY RES SOC SCI, V30, P1, DOI 10.1016/j.erss.2017.06.027
   Smith-Nonini S, 2016, ECON ANTHROPOL, V3, P57, DOI 10.1002/sea2.12044
   Stengers I., 2018, CHALLENGES ONTOLOGIC
   Stengers Isabelle., 2005, MAKING THINGS PUBLIC, P994
   Stensrud AB, 2016, ETHNOS, V81, P75, DOI 10.1080/00141844.2014.929597
   Strauss Sarah., 2003, WEATHER CLIMATE CULT
   Therrell MD, 2011, B AM METEOROL SOC, V92, P583, DOI 10.1175/2011BAMS3146.1
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Thomas KA, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.101928
   Thornton TF, 2010, ENVIRON SOC, V1, P132, DOI 10.3167/ares.2010.010107
   Todd Z, 2016, J HIST SOCIOL, V29, P4, DOI 10.1111/johs.12124
   Tripathy A, 2017, ECON ANTHROPOL, V4, P239, DOI 10.1002/sea2.12091
   Tsing AL, 2005, FRICTION: AN ETHNOGRAPHY OF GLOBAL CONNECTION, P1
   Vásquez-León M, 2009, AM ANTHROPOL, V111, P289, DOI 10.1111/j.1548-1433.2009.01133.x
   Vaughn SE, 2017, CULT ANTHROPOL, V32, P242, DOI 10.14506/ca32.2.07
   Walker-Crawford N., 2017, GLACIERHUB 0202
   Whitington J, 2016, POLAR-POLIT LEG ANTH, V39, P7, DOI 10.1111/plar.12127
   Whitington J, 2013, ANTHROPOL THEOR, V13, P308, DOI 10.1177/1463499613509992
   Zee JC, 2017, CULT ANTHROPOL, V32, P215, DOI 10.14506/ca32.2.06
   Zhang SZ, 2017, ECON ANTHROPOL, V4, P132, DOI 10.1002/sea2.12078
NR 158
TC 34
Z9 42
U1 1
U2 24
PU ANNUAL REVIEWS
PI PALO ALTO
PA 4139 EL CAMINO WAY, PO BOX 10139, PALO ALTO, CA 94303-0897 USA
SN 0084-6570
EI 1545-4290
BN 978-0-8243-1949-6
J9 ANNU REV ANTHROPOL
JI Annu. Rev. Anthropol.
PY 2020
VL 49
BP 13
EP 29
DI 10.1146/annurev-anthro-010220-043113
PG 17
WC Anthropology
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Social Science Citation Index (SSCI)
SC Anthropology
GA BQ6ZY
UT WOS:000613947000004
DA 2025-01-10
ER

PT J
AU Payne, S
   Macintosh, A
   Stock, J
AF Payne, Stephanie
   Macintosh, Alison
   Stock, Jay
TI The thermoregulatory function of the human hand: How do palm and digit
   proportions affect heat loss?
SO AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
LA English
DT Article
DE Allen's rule; climate adaptation; hand proportions; ice-water immersion
ID ALLENS RULE; BODY-SIZE; FINGER; LENGTH; ANTHROPOMETRY; ETHNICITY;
   RESPONSES; EXPOSURE; EXERCISE; HEIGHT
AB ObjectivesThe current study assessed whether ecogeographical patterns seen in hand proportions correlate with heat loss directly. Using a brief severe cold immersion experiment on the hand, the influence of hand and digit dimensions on heat loss was evaluated.
   Materials and methodsA sample of 113 living individuals were tested. Two-dimensional and three-dimensional scanning techniques were used to assess hand and digit dimensions. Thermal imaging analysis was used to quantify heat loss during a 3-min ice-water immersion of the hands.
   ResultsWhen body size was accounted for, hand width and digit length relative to total hand length were significant predictors of heat loss from the hand.
   DiscussionThe current study provides empirical evidence to support the link between thermodynamic principles relating to surface area-to-volume ratio, and ecogeographical patterns associated with temperature.
C1 [Payne, Stephanie; Macintosh, Alison; Stock, Jay] Univ Cambridge, Dept Archaeol, PAVE Res Grp, Cambridge CB2 3EX, Cambs, England.
   [Stock, Jay] Univ Western Ontario, Dept Anthropol, London, ON N6A 5C2, Canada.
C3 University of Cambridge; Western University (University of Western
   Ontario)
RP Payne, S (corresponding author), Dept Archaeol, Phenotyp Adaptabil Variat & Evolut Res Grp, Pembroke St, Cambridge CB2 3EX, England.
EM sp627@cam.ac.uk
RI Stock, Jay/B-6453-2011
OI Stock, Jay/0000-0003-0147-8631; Payne, Stephanie/0000-0002-7173-9262;
   Murray, Alison/0000-0003-2914-5206
FU Trinity Hall Graduate Research Studentship, University of Cambridge
FX Trinity Hall Graduate Research Studentship, University of Cambridge
CR Almécija S, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8717
   [Anonymous], 1877, Radical Review
   Ashizawa K, 1997, ANN HUM BIOL, V24, P117, DOI 10.1080/03014469700004862
   Bergmann KGLC., 1847, Gttinger Studien, V3, P595
   Betti L, 2015, AM J PHYS ANTHROPOL, V158, P132, DOI 10.1002/ajpa.22774
   Bogin B, 2002, AM J HUM BIOL, V14, P753, DOI 10.1002/ajhb.10092
   Chandra Arunesh, 2011, International Journal of Industrial and Systems Engineering, V9, P163, DOI 10.1504/IJISE.2011.042833
   Cheung Stephen S, 2015, Temperature (Austin), V2, P105, DOI 10.1080/23328940.2015.1008890
   Cheung SS, 2012, MICROCIRCULATION, V19, P65, DOI 10.1111/j.1549-8719.2011.00126.x
   Collard M, 2017, VERTEBR PALEOBIOL PA, P161, DOI 10.1007/978-3-319-46646-0_12
   Daanen HAM, 1997, THESIS
   de la Fuente C, 2015, AM J PHYS ANTHROPOL, V158, P719, DOI 10.1002/ajpa.22815
   Dizmen C., 2012, P INT MULTICONFERENC
   Farnell GS, 2008, WILD ENVIRON MED, V19, P238, DOI 10.1580/07-WEME-OR-138.1
   Fooden J, 1999, INT J PRIMATOL, V20, P431, DOI 10.1023/A:1020556922189
   Garrett J., 1970, AMRLTR6926
   GILES E, 1991, J FORENSIC SCI, V36, P1134
   HIRATA K, 1993, J THERM BIOL, V18, P325, DOI 10.1016/0306-4565(93)90053-V
   HOUGHTON P, 1990, ANN HUM BIOL, V17, P19, DOI 10.1080/03014469000000752
   IKEDA A, 1988, J HAND SURG-AM, V13A, P501, DOI 10.1016/S0363-5023(88)80085-6
   Imrhan S., 2005, 19 ANN OCC ERG SAF C
   Imrhan S.N., 1993, Int. J. Ind. Ergon., V12, P281, DOI DOI 10.1016/0169-8141(93)90098-X
   Imrhan SN, 2009, ERGONOMICS, V52, P987, DOI 10.1080/00140130902792478
   Imrhan SN., 2000, Proc Human Factors Ergonom Soc Ann Meeting, V44, P6
   Jay O, 2004, EUR J APPL PHYSIOL, V93, P1, DOI 10.1007/s00421-004-1146-x
   Johnson JM., 1996, HDB PHYSL ENV PHYSL, VI, P215, DOI [10.1002/cphy.cp040111, DOI 10.1002/CPHY.CP040111]
   Lampl M, 2003, AM J HUM BIOL, V15, P533, DOI 10.1002/ajhb.10140
   Lazenby R, 1999, INT J OSTEOARCHAEOL, V9, P182, DOI 10.1002/(SICI)1099-1212(199905/06)9:3<182::AID-OA473>3.0.CO;2-X
   Lee JY, 2013, J THERM BIOL, V38, P70, DOI 10.1016/j.jtherbio.2012.11.004
   LINDSAY SL, 1987, J MAMMAL, V68, P39, DOI 10.2307/1381043
   Makinen Tiina Maria, 2010, Front Biosci (Schol Ed), V2, P1047
   Maley MJ, 2014, EUR J APPL PHYSIOL, V114, P2369, DOI 10.1007/s00421-014-2962-2
   Mandahawi N, 2008, INT J IND ERGONOM, V38, P966, DOI 10.1016/j.ergon.2008.01.010
   Manning JT, 2005, ARCH SEX BEHAV, V34, P329, DOI 10.1007/s10508-005-3121-y
   Molnar G W., 1957, Protection and functioning of the hands in cold climates. National academy of sciences - National research council, P15
   MOLNAR GW, 1946, JAMA-J AM MED ASSOC, V131, P1046, DOI 10.1001/jama.1946.02870300014004
   NILES DM, 1973, EVOLUTION, V27, P405, DOI 10.1111/j.1558-5646.1973.tb00688.x
   Nimmo M, 2004, J SPORT SCI, V22, P898, DOI 10.1080/0264041400005883
   Nudds RL, 2007, EVOLUTION, V61, P2839, DOI 10.1111/j.1558-5646.2007.00242.x
   Numan A. I., 2013, British Journal of Medicine and Medical Research, V3, P1062
   Parsons K., 2014, Human Thermal Environments, VThird
   Pomeroy E, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0051795
   RASMUSSEN PC, 1994, AUK, V111, P143, DOI 10.2307/4088513
   Rodríguez-Niedenführ M, 2001, J ANAT, V199, P547, DOI 10.1046/j.1469-7580.2001.19950547.x
   Rolian C, 2009, EVOL BIOL, V36, P100, DOI 10.1007/s11692-009-9049-8
   Ruff Christopher B., 1994, Yearbook of Physical Anthropology, V37, P65
   Serrat MA, 2013, ANAT REC, V296, P1534, DOI 10.1002/ar.22763
   Serrat MA, 2008, P NATL ACAD SCI USA, V105, P19348, DOI 10.1073/pnas.0803319105
   Steegmann AT, 2007, AM J HUM BIOL, V19, P218, DOI 10.1002/ajhb.20614
   Taylor NAS, 2014, EUR J APPL PHYSIOL, V114, P2037, DOI 10.1007/s00421-014-2940-8
   Voracek M, 2007, PERCEPT MOTOR SKILL, V105, P143, DOI 10.2466/PMS.105.1.143-152
   Wendt D, 2007, SPORTS MED, V37, P669, DOI 10.2165/00007256-200737080-00002
   World Medical Association, 2008, 59 WMA GEN ASS SEOUL
   Xiaohui Z., 2014, ADV PHYS ERGONOMIC 2
   YOSHIMURA HISATO, 1952, JAPANESE JOUR PHYSIOL, V2, P310
NR 55
TC 6
Z9 7
U1 0
U2 15
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 AUG
PY 2018
VL 166
IS 4
BP 803
EP 811
DI 10.1002/ajpa.23469
PG 9
WC Anthropology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Anthropology; Evolutionary Biology
GA GQ3CP
UT WOS:000441538300003
PM 29603137
DA 2025-01-10
ER

PT J
AU McCormack, PC
AF McCormack, Phillipa C.
TI Conservation Introductions for Biodiversity Adaptation under Climate
   Change
SO TRANSNATIONAL ENVIRONMENTAL LAW
LA English
DT Article
DE Climate adaptation; Conservation law; Assisted colonization; Ecological
   replacement; Threatened species
ID ASSISTED COLONIZATION; MANAGED RELOCATION; TRANSLOCATION; EXTINCTION;
   POLICY; STATIONARITY; MAMMALS; RISKS; DEAD
AB Anthropogenic climate change represents a wicked problem, both for the Earth's natural systems and for biodiversity conservation law and policy. Legal frameworks for conservation have a critical role to play in helping species and ecosystems to adapt as the climate changes. However, they are currently poorly equipped to regulate adaptation strategies that demand high levels of human intervention. This article investigates law and policy for conservation introductions, which involve relocating species outside their historical habitat. It takes as a case study Australian law on conservation introductions, demonstrating theoretical and practical legal hurdles to these strategies at international, national and subnational levels. The article argues that existing legal mechanisms may be repurposed, in some cases, to better regulate conservation introduction projects. However, new legal mechanisms are also needed, and soon, to effectively conserve species and ecosystems in a period of unprecedented ecological change.
C1 [McCormack, Phillipa C.] Univ Tasmania, Fac Law, Sandy Bay, Tas, Australia.
C3 University of Tasmania
RP McCormack, PC (corresponding author), Univ Tasmania, Fac Law, Sandy Bay, Tas, Australia.
EM phillipa.mccormack@utas.edu.au
RI McCormack, Phillipa/GYA-3008-2022; McCormack, Phillipa C/N-3668-2017
OI McCormack, Phillipa C/0000-0001-6751-8291
FU University of Tasmania
FX My sincere thanks to my PhD supervisors, Jan McDonald and Michael
   Lockwood of the University of Tasmania, for their ongoing support and
   excellent guidance. I am also grateful to two anonymous reviewers for
   TEL, whose comments have significantly improved this article.
CR Adam P., 2009, ECOLOGICAL MANAGEMEN, V10, p[S44, S50]
   [Anonymous], 2003, Linkages in the Landscape: The Role of Corridors and Connectivity in Wildlife Conservation
   Arnold C. A., 2014, SOCIAL ECOLOGICAL RE, P243
   Arnold CraigAnthony., 2013, Environmental Law Reporter, V5, P10426
   Australian Government Department of the Environment and Energy, 2013, TRANSL LIST THREAT S
   Australian Invasive Species Council (ISC), 2012, CORR RISK ASS NEED S, P7
   Barnosky AD, 2011, NATURE, V471, P51, DOI 10.1038/nature09678
   Borgstrom S., 2012, NORDIC ENV LAW J, V1, P31
   Box J., 2003, Journal of Environmental Planning and Management, V46, P839, DOI 10.1080/0964056032000157624
   Box J, 2014, WATER ENVIRON J, V28, P540, DOI 10.1111/wej.12077
   Bradshaw CJA, 2006, CONSERV BIOL, V20, P1306, DOI 10.1111/j.1523-1739.2006.00428.x
   Braverman I, 2014, GEOFORUM, V51, P47, DOI 10.1016/j.geoforum.2013.09.018
   Burbidge Andrew A., 2011, Pacific Conservation Biology, V17, P259
   Cahill AE, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.1890
   Camacho Alejandro., 2010, Yale Journal on Regulation, P171
   Ceballos G, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400253
   Chauvenet ALM, 2013, J APPL ECOL, V50, P1330, DOI 10.1111/1365-2664.12150
   Classen A. T., 2015, ECOSPHERE, V6
   Clement S, 2015, ENVIRON PLAN LAW J, V32, P93
   Cliquet A, 2009, UTRECHT LAW REV, V5, P158, DOI 10.18352/ulr.100
   Craig RK, 2010, HARVARD ENVIRON LAW, V34, P9
   Department of Environment & Primary Industries, 2013, PROC STAT TRANSL THR
   Dirzo R, 2014, SCIENCE, V345, P401, DOI 10.1126/science.1251817
   DPIPWE Tasmania, 2010, UNPUB, P6
   Dunlop Michael, 2012, IMPLICATIONS CLIMATE, P7
   Harris S., 2013, ECOLOGICAL MANAGEMEN, V14, p[106, 108]
   Heller NE, 2014, CONSERV BIOL, V28, P696, DOI 10.1111/cobi.12269
   Hoag H., 2010, Nature Reports Climate Change, V4, P51, DOI [10.1038/climate.2010.38, DOI 10.1038/CLIMATE.2010.38]
   Hobbs RJ, 2006, GLOBAL ECOL BIOGEOGR, V15, P1, DOI 10.1111/j.1466-822x.2006.00212.x
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Hughes Lesley, 2012, P8
   International Union for the Conservation of Nature (IUCN), 2010, RED LIST THREAT SPAC
   IPCC, 2018, GLOB WARM 1 5C SUMM
   IUCN, GLOSS CONS TERMS, P70
   IUCN/ Species Survival Commission (SSC), 2013, GUID REINTR OTH CONS, P3
   Joly J.Lurman., 2009, Environmental Law Reporter News Analysis, V39, P10413
   Kesler D. C., 2011, PARTN ENV TECHN TECH
   Lausche B., 2013, LEGAL ASPECTS CONNEC
   Lawler J. J., 2011, FRONTIERS ECOLOGY EN, V9, p[569, 572]
   Lee E., 2016, SQUARE BRACKETS, V10, P22
   McCormack P. C., 2014, ENV PLANNING LAW J, V31, p[114, 129]
   McDonald J., 2016, UNSW LAW J, V39, p[1612, 1626]
   McDonald J, 2016, ECOL SOC, V21, DOI 10.5751/ES-08460-210225
   McDonald JA, 2015, BIOL CONSERV, V182, P102, DOI 10.1016/j.biocon.2014.11.030
   McDonald-Madden E, 2011, NAT CLIM CHANGE, V1, P261, DOI 10.1038/NCLIMATE1170
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   McLean I. F. G., 2003, HAB TRANSL POL BRIT
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Mitchell Nicola, 2013, Biology - Basel, V2, P1, DOI 10.3390/biology2010001
   Neff MW, 2014, BIOL CONSERV, V172, P1, DOI 10.1016/j.biocon.2014.02.001
   New South Wales National Parks & Wildlife Service, 2001, POL PROC STAT 9 POL, V9
   New Zealand Department of Conservation, 2011, TRANSL GUID COMM GRO
   Northern Territory Government, 2009, TRANSL THREAT AN POL
   O'Sullivan OS, 2017, GLOBAL CHANGE BIOL, V23, P209, DOI 10.1111/gcb.13477
   Olive A, 2014, CAN GEOGR-GEOGR CAN, V58, P263, DOI 10.1111/cag.12090
   Olson ER, 2015, CONSERV LETT, V8, P351, DOI 10.1111/conl.12141
   Parks Tasmanian, 2000, FREYC NAT PARK WYE R, P39
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Pope J., 2013, PLANNING ASSESSMENT
   Pritchard D. J., 2010, BGJOURNAL, V7, p[1, 2]
   Queensland Environment Protection Agency, 2005, NAT CONS KOAL CONS P
   Rees PA, 2001, ORYX, V35, P216, DOI 10.1046/j.1365-3008.2001.00178.x
   Reside A. E., 2013, CLIMATE CHANGE REFUG, P49
   Ricciardi A, 2009, TRENDS ECOL EVOL, V24, P476, DOI 10.1016/j.tree.2009.05.005
   Rogers K., 2014, ESTUAR COAST, V37, p[67, 75]
   Ruhl J. B., 2011, N CAROLINA LAW REV, V89, p[1373, 1396]
   Ruhl JB, 2010, ENV L, V40, P364
   Sandler R, 2010, CONSERV BIOL, V24, P424, DOI 10.1111/j.1523-1739.2009.01351.x
   Schloss CA, 2012, P NATL ACAD SCI USA, V109, P8606, DOI 10.1073/pnas.1116791109
   Schwartz MW, 2013, ANN NY ACAD SCI, V1286, P15, DOI 10.1111/nyas.12050
   Schwartz MW, 2012, BIOSCIENCE, V62, P732, DOI 10.1525/bio.2012.62.8.6
   Seddon PJ, 2014, SCIENCE, V345, P406, DOI 10.1126/science.1251818
   Seddon PJ, 2010, RESTOR ECOL, V18, P796, DOI 10.1111/j.1526-100X.2010.00724.x
   Seddon PJ, 2009, CONSERV BIOL, V23, P788, DOI 10.1111/j.1523-1739.2009.01200.x
   Shirey PD, 2013, CONSERV LETT, V6, P300, DOI 10.1111/conl.12031
   Shirey PD, 2010, CONSERV LETT, V3, P45, DOI 10.1111/j.1755-263X.2009.00083.x
   Short J., 2009, AUSTRALIAN ANIMAL WE, piv
   South Australian Government, 2006, DRAFT TRANSL NAT FAU
   Steffen W., 2009, AUSTR BIODIVERSITY C, P87
   Stein B. A., 2013, FRONTIERS ECOLOGY EN, V11, p[502, 506]
   Tasmanian Department of Primary Industries Parks Water & the Environment (DPIPWE Tasmania), 2011, POL PROC TRANSL
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Trouwborst A, 2009, J ENVIRON LAW, V21, P419, DOI 10.1093/jel/eqp024
   Urban MC, 2012, P ROY SOC B-BIOL SCI, V279, P2072, DOI 10.1098/rspb.2011.2367
   Walker B., 2004, Ecology and Society, V9, P5
   Webber BL, 2012, GLOBAL ECOL BIOGEOGR, V21, P305, DOI 10.1111/j.1466-8238.2011.00684.x
   Webber BL, 2011, TRENDS ECOL EVOL, V26, P495, DOI 10.1016/j.tree.2011.06.007
   Weeks AR, 2011, EVOL APPL, V4, P709, DOI 10.1111/j.1752-4571.2011.00192.x
   Western Australian Department of Conservation and Land Management, 1995, POL STAT 29 TRANSL T
   Whitten, 2011, COMPENDIUM EXISTING, P43
   Willis SG, 2009, CONSERV LETT, V2, P45, DOI 10.1111/j.1755-263X.2008.00043.x
   Wilmers CC, 2005, PLOS BIOL, V3, P571, DOI 10.1371/journal.pbio.0030092
   Woinarski JCZ, 2017, CONSERV BIOL, V31, P13, DOI 10.1111/cobi.12852
   Woinarski JCZ, 2015, P NATL ACAD SCI USA, V112, P4531, DOI 10.1073/pnas.1417301112
   Worboys G., 2010, Connectivity conservation management: a global guide
   Worboys G. L., 2008, AUSTR PROT AR C 2008
   Wyborn C, 2015, ENVIRON POLICY GOV, V25, P1, DOI 10.1002/eet.1657
   Xu H, 2014, BIODIVERS CONSERV, V23, P2637, DOI 10.1007/s10531-014-0728-0
NR 98
TC 15
Z9 15
U1 0
U2 27
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 2047-1025
EI 2047-1033
J9 TRANSNATL ENVIRON LA
JI Transnatl. Environ. Law
PD JUL
PY 2018
VL 7
IS 2
BP 323
EP 345
DI 10.1017/S2047102517000383
PG 23
WC Environmental Studies; Law
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Government & Law
GA GM3YG
UT WOS:000438047900007
DA 2025-01-10
ER

PT J
AU Blackmore, C
AF Blackmore, Chris
TI Learning to change farming and water management practices in response to
   the challenges of climate change and sustainability
SO OUTLOOK ON AGRICULTURE
LA English
DT Article
DE change; farming; innovation; learning systems; practices; thinking;
   water
AB Extremes of wet and dry weather experienced in the UK in recent years have raised many questions and issues about traditional water management and farming practices. Farm infrastructure and traditional machinery have been found to be limited when addressing these issues, which include increases in flooding, diffuse pollution and the inability to access land to carry out basic farming operations. This paper reviews reactions to these issues from those tasked with addressing them in the short and long term. Drawing on theories of learning systems, it considers the nature of some of the learning that has taken place and what kinds of social infrastructure can support such learning. Implications for future learning system design are discussed. Key examples are drawn from two research contexts, one concerned with a new generation of agricultural machines and the other with water management, governance and climate adaptation.
C1 Open Univ, Engn & Innovat Dept, Syst Thinking Practice Res Network, Milton Keynes MK7 6AA, Bucks, England.
C3 Open University - UK
RP Blackmore, C (corresponding author), Open Univ, Engn & Innovat Dept, Syst Thinking Practice Res Network, Walton Hall, Milton Keynes MK7 6AA, Bucks, England.
EM chris.blackmore@open.ac.uk
CR [Anonymous], 2008, The Later Works 8, 1925-1953
   [Anonymous], 2012, International Business Times
   [Anonymous], POLICYMAKING COMMUNI
   Bateson G., 2000, STEPS ECOLOGY MIND
   Bawden R., 1994, FARMER 1 RURAL PEOPL, P258
   Bawden R., 2000, Cybernetics Human Knowing, V7, P5
   Bawden R., 1995, Occasional Paper No. 1
   Bawden R., 2007, SAGE HDB ENV SOC, P224
   BBC, 2012, MORP ANG 2 FLOOD 4 Y
   BBC Radio 4, 2014, FARMING TODAY   0110
   Blackmore C., 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, P2228
   Blackmore C, 2010, SOCIAL LEARNING SYSTEMS AND COMMUNITIES OF PRACTICE, P1, DOI 10.1007/978-1-84996-133-2
   Blackmore C, 2004, PRE P 6 IFSA EUR S 4, P449
   Blackmore C, 2002, PRE P 5 IFSA EUR S 8, P548
   Blackmore C., 2012, 10 EUR IFSA S PROD R
   Blackmore C. P., 2009, THESIS OPEN U MILTON
   Blackmore C, 2006, Changing European Farming Systems for a Better Future: New Visions for Rural Areas, P29
   Blackmore S, 2014, COMMUNICATION
   Colvin J, 2014, RES POLICY, V43, P760, DOI 10.1016/j.respol.2013.12.010
   Dillen J., 2012, RISICOBEOORDELING
   DTC - Demonstration Test Catchment Project - Hampshire Avon, 2013, FARM OP DIFF POLL MI
   Environment Agency, 2013, POLL INC REP SEPT 20
   Geoghegan H, 2012, CLIMATIC CHANGE, V113, P55, DOI 10.1007/s10584-012-0417-5
   Ison R, 2010, SYSTEMS PRACTICE: HOW TO ACT IN A CLIMATE-CHANGE WORLD, P1, DOI 10.1007/978-1-84996-125-7
   Leeuwis C., 2002, WHEEL BARROWS FULL F
   Lewin K., 1946, RESOLVING SOCIAL CON, P201
   Met Office, 2014, REC WET JAN PARTS BR
   Schon D.A., 1973, Beyond the stable state: Public and private learning in a changing society
   Snyder W.M., 2004, Creating a learning culture, P35
   Sterling S, 2012, LEARNING FOR SUSTAINABILITY IN TIMES OF ACCELERATING CHANGE, P511
   van Oost I., 2014, DEFINITON INNOVATION
   Vickers G., 1965, ART JUDGMENT STUDY P
   Wals AEJ, 2012, LEARNING FOR SUSTAINABILITY IN TIMES OF ACCELERATING CHANGE, P21
   Wenger E, 2000, ORGANIZATION, V7, P225, DOI 10.1177/135050840072002
   Wenger E., 2009, COMMUNITIES PRACTICE
NR 35
TC 3
Z9 3
U1 2
U2 30
PU I P PUBLISHING LTD
PI LONDON
PA 258 BELSIZE RD, LONDON NW6 4BT, ENGLAND
SN 0030-7270
EI 2043-6866
J9 OUTLOOK AGR
JI Outlook Agric.
PD SEP
PY 2014
VL 43
IS 3
BP 173
EP 178
DI 10.5367/oa.2014.0169
PG 6
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA AX0TK
UT WOS:000346664900005
DA 2025-01-10
ER

PT J
AU Baule, W
   Allred, B
   Frankenberger, J
   Gamble, D
   Andresen, J
   Gunn, KM
   Brown, L
AF Baule, William
   Allred, Barry
   Frankenberger, Jane
   Gamble, Debra
   Andresen, Jeff
   Gunn, Kpoti M.
   Brown, Larry
TI Northwest Ohio crop yield benefits of water capture and subirrigation
   based on future climate change projections
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE Climate; Subirrigation; Crop-Yield; Evapotranspiration; Water-Capture
ID TABLE MANAGEMENT; CONTROLLED DRAINAGE; TILE DRAINAGE; CORN; WETLANDS;
   IMPACTS; SURFACE; MAIZE; LEVEL
AB Climate change projections for the Midwest U.S. indicate a future with increased growing season dryness that will adversely impact crop production sustainability. Systems that capture water for later subirrigation use have potential as a climate adaptation strategy to mitigate this increased crop water stress. Three such systems were operated in northwest Ohio from 1996 to 2008, and they exhibited substantial crop yield benefits, especially in dry growing seasons, but also to a lesser extent in near normal or wet growing seasons. The goal of this research was to estimate the increase in crop yield benefits of water capture and subirrigation systems that can be expected under projcted 2041-2070 climate conditions in northwest Ohio. Historical subirrigated field crop yield differences with fields having free drainage only, relative to growing season dryness/wetness, were used to determine future northwest Ohio subirrigated field crop yield increases, based on the modeled climate for 2041-2070. Climate records for 2041-2070 were projected using three bias corrected model combinations, CRCM + CGCM3, RCM3 + GFDL, and MM5I + HadCM3. Growing season dryness/wetness was classified based on the difference between rainfall and the crop adjusted potential evapotranspiration using the 1984-2013 climate record at the three system locations. Projected 2041-2070 growing season precipitation varied substantially between the three model combinations; however, all three indicated increased growing season dryness due to rising temperature and solar radiation. The overall subirrigated field corn yield increase rose to an estimated 27.5%-30.0% in 2041-2070 from 20.5% in 1996-2008, while the subirrigated field soybean yield increase improved from 12.2% in 1996-2008 to 19.8%-21.5% for 2041-2070. Consequently, as growing season drought becomes more frequent, the crop yield benefits with water capture and subirrigation systems will improve, and these systems therefore provide a viable climate adaptation strategy for agricultural production. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Baule, William; Andresen, Jeff] Univ Michigan, Great Lakes Integrated Sci Assessments, Ann Arbor, MI 48109 USA.
   [Allred, Barry; Gamble, Debra] Ohio State Univ, USDA ARS, Soil Drainage Unit, Columbus, OH 43210 USA.
   [Frankenberger, Jane] Purdue Univ, Dept Agr & Biol Engn, W Lafayette, IN 47907 USA.
   [Baule, William; Andresen, Jeff] Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI 48824 USA.
   [Gunn, Kpoti M.; Brown, Larry] Ohio State Univ, Dept Food Agr & Biol Engn, Columbus, OH 43210 USA.
C3 University of Michigan System; University of Michigan; United States
   Department of Agriculture (USDA); University System of Ohio; Ohio State
   University; Purdue University System; Purdue University; Michigan State
   University; University System of Ohio; Ohio State University
RP Baule, W (corresponding author), Dept Geog Environm & Spatial Sci, Geography Bldg 673 Auditorium Rd, E Lansing, MI 48824 USA.
EM baulewil@msu.edu; allred.13@osu.edu; frankenb@purdue.edu;
   debralynngamble@yahoo.com; andresen@msu.edu;
   stephankpoti.gunn@ars.usda.gov; brown.59@osu.edu
RI Baule, William/KHV-6041-2024; Brown, Larry/E-4380-2012
OI Baule, William/0000-0002-9279-8851
FU Great Lakes Integrated Sciences+Assessments (GLISA) [NOAA-OAR-CPO]
   [NA10OAR4310213, NA15OAR4310148]; National Science Foundation (NSF);
   U.S. Department of Energy (DoE); National Oceanic and Atmospheric
   Administration (NOAA); U.S. Environmental Protection Agency Office of
   Research and Development (EPA)
FX Funding was provided by Great Lakes Integrated Sciences + Assessments
   (GLISA) [NOAA-OAR-CPO grants: NA10OAR4310213 and NA15OAR4310148]. We
   wish to thank the North American Regional Climate Change Assessment
   Program (NARCCAP) for providing the data used in this paper. NARCCAP is
   funded by the National Science Foundation (NSF), the U.S. Department of
   Energy (DoE), the National Oceanic and Atmospheric Administration
   (NOAA), and the U.S. Environmental Protection Agency Office of Research
   and Development (EPA). We would also like to thank the two anonymous
   reviewers for their thoughtful and constructive comments on the
   manuscript.
CR Alexander RB, 2008, ENVIRON SCI TECHNOL, V42, P822, DOI 10.1021/es0716103
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Allred BJ, 2014, APPL ENG AGRIC, V30, P889, DOI 10.13031/aea.30.10501
   Allred BJ, 2014, APPL ENG AGRIC, V30, P163
   Allred BJ, 2003, APPL ENG AGRIC, V19, P407
   Andresen JA, 2001, AGRON J, V93, P1059, DOI 10.2134/agronj2001.9351059x
   [Anonymous], 2010, OH LAK ER PHOSPH TAS
   [Anonymous], IPCC SPEC REP EM SCE
   [Anonymous], 2009, GLOBAL CLIMATE CHANG
   [Anonymous], 2009, Eos, Transactions American Geophysical Union, DOI [DOI 10.1029/2009EO360002, 10.1175/BAMS-D-11-00223.1]
   Baker JM, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011780
   Basile S.J, 2014, ABSTR GC33A0479 2014
   Belcher H. W., 1995, SUBIRRIGATION CONTRO, P482
   Bonfante A, 2015, ADV AGRON, V133, P33, DOI 10.1016/bs.agron.2015.05.001
   COOPER RL, 1991, AGRON J, V83, P884, DOI 10.2134/agronj1991.00021962008300050021x
   COOPER RL, 1992, J PROD AGRIC, V5, P180, DOI 10.2134/jpa1992.0180
   Dai A, 2006, J CLIMATE, V19, P4605, DOI 10.1175/JCLI3884.1
   Drury CF, 2009, J ENVIRON QUAL, V38, P1193, DOI 10.2134/jeq2008.0036
   Drury CF, 1996, J ENVIRON QUAL, V25, P317, DOI 10.2134/jeq1996.00472425002500020016x
   Fausey N. R., 1995, SUBIRRIGATION CONTRO, P482
   Finger R, 2011, CLIMATIC CHANGE, V105, P509, DOI 10.1007/s10584-010-9931-5
   Fisher MJ, 1999, SOIL SCI SOC AM J, V63, P1786, DOI 10.2136/sssaj1999.6361786x
   Hatfield JL, 2011, AGRON J, V103, P351, DOI 10.2134/agronj2010.0303
   Hoell J. M., 2005, 2005 JOINT ASACSSASS
   Katz RW, 1998, J CLIMATE, V11, P591, DOI 10.1175/1520-0442(1998)011<0591:OPISMO>2.0.CO;2
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Luckeydoo LM, 2002, AGR ECOSYST ENVIRON, V88, P89, DOI 10.1016/S0167-8809(01)00155-4
   Maraun D, 2010, REV GEOPHYS, V48, DOI 10.1029/2009RG000314
   Mejia MN, 2000, AGR WATER MANAGE, V46, P73, DOI 10.1016/S0378-3774(99)00109-2
   Melillo J. M., 2014, U S GLOBAL CHANGE RE
   Menne MJ, 2012, J ATMOS OCEAN TECH, V29, P897, DOI 10.1175/JTECH-D-11-00103.1
   Nelson K. A., 2012, CROP MANAGE
   Nelson KA, 2012, INT J AGRON, V2012, DOI 10.1155/2012/925408
   Ng HYF, 2002, AGR ECOSYST ENVIRON, V90, P81, DOI 10.1016/S0167-8809(01)00172-4
   PRIESTLEY CHB, 1972, MON WEATHER REV, V100, P81, DOI 10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
   Richards ST, 1999, J PROD AGRIC, V12, P588, DOI 10.2134/jpa1999.0588
   Smiley PC, 2011, WETL ECOL MANAG, V19, P495, DOI 10.1007/s11273-011-9231-5
   Sobolowski S, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD016430
   Tan C. S., 2007, Canadian Water Resources Journal, V32, P129
   Tennant WJ, 2002, INT J CLIMATOL, V22, P1033, DOI 10.1002/joc.778
   Walthall CL., 2012, Climate change and agriculture in the united states: Effects and adaptation
   WeiSS M., 2008, ADV GEOSCIENCES, V18, P15, DOI [10.5194/adgeo-18-15-2008, DOI 10.5194/ADGEO-18-15-2008]
   White JW, 2011, AGRON J, V103, P1242, DOI 10.2134/agronj2011.0038
   Wilks DS, 1999, AGR FOREST METEOROL, V96, P85, DOI 10.1016/S0168-1923(99)00037-4
   WMO, 1989, CALC MONTHL ANN 30 Y
NR 45
TC 17
Z9 22
U1 3
U2 42
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 JUL 31
PY 2017
VL 189
BP 87
EP 97
DI 10.1016/j.agwat.2017.04.019
PG 11
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA EY9HV
UT WOS:000404310600008
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Pankratz, NMC
   Schiller, CM
AF Pankratz, Nora M. C.
   Schiller, Christoph M.
TI Climate Change and Adaptation in Global Supply-Chain Networks
SO REVIEW OF FINANCIAL STUDIES
LA English
DT Article
DE G15; Q54; G30; F64
ID TEMPERATURE; SHOCKS; LINKAGES; RISKS
AB This paper examines how physical climate exposure affects firm performance and global supply chains. We document that heat at supplier locations reduces the operating income of suppliers and their customers. Further, customers respond to perceived changes in suppliers' exposure: when suppliers' realized exposure exceeds ex ante expectations, customers are 7% more likely to terminate supplier relationships. Consistent with experience-based learning, this effect increases with signal strength and repetition and decreases with country-level climate adaptation. Subsequent replacement suppliers show a lower expected and realized but similar projected heat exposure. We find similar results for suppliers' exposure to floods.Authors have furnished an , which is available on the Oxford University Press Web site next to the link to the final published paper online.
C1 [Pankratz, Nora M. C.] Fed Reserve Board, Washington, DC 20551 USA.
   [Schiller, Christoph M.] Arizona State Univ, WP Carey Sch Business, Tempe, AZ USA.
C3 Federal Reserve System - USA; Federal Reserve System Board of Governors;
   Arizona State University; Arizona State University-Tempe
RP Pankratz, NMC (corresponding author), Fed Reserve Board, Washington, DC 20551 USA.
EM nora.m.pankratz@frb.gov
FU French Social Investment Forum (FIR); Principles for Responsible
   Investment (PRI); Canadian Securities Institute (CSI)
FX We thank Alan Barreca, Kristian Blickle (discussant), Jaap Bos, Claudia
   Custodio (discussant), Hasan Fallahgoul (discussant), Caroline Flammer,
   Martin Gotz, Adel Guitouni (discussant), John Hassler (discussant),
   Alexander Hillert, Marcin Kacperczyk, Taehyun Kim (discussant), Thomas
   Mosk, Jisung Park, Sebastien Pouget, Julien Sauvagnat (discussant), and
   Sumudu Watugala (discussant) for many valuable suggestions. We also
   thank the participants at the 2020 AEA Annual Meeting, EFA Meeting,
   SHOF-ECGI Conference on Finance and Sustainability, 2019 LBS Summer
   Finance Symposium, the IWFSAS, GRASFI, EDHEC Finance of Climate Change,
   and the Paris December Finance Meeting and seminars at the UC
   Environmental Economics Working Group, Boston University, Deutsche
   Bundesbank, EPFL/HEC Lausanne, European Central Bank, Federal Reserve
   Board, FRB Chicago, FRB New York, Frankfurt School of Finance and
   Management, Imperial College, Ivey Business School, Queen's University,
   Stockholm School of Economics, University of Edinburgh, University of
   Glasgow, University of Toronto, University of Zurich, UCLA, Arizona
   State University, University of San Francisco, Maastricht University,
   and Goethe Universitat Frankfurt for many helpful comments. Nora
   Pankratz thanks the French Social Investment Forum (FIR) and the
   Principles for Responsible Investment (PRI), and Christoph Schiller
   thanks the Canadian Securities Institute (CSI) for financial support.
   The views expressed in this paper are those of the authors and do not
   necessarily reflect the views of the Federal Reserve System.
   Supplementary data can be found on The Review of Financial Studies web
   site.
CR Acemoglu D, 2020, ECONOMETRICA, V88, P33, DOI 10.3982/ECTA15899
   Addoum JM, 2020, REV FINANC STUD, V33, P1331, DOI 10.1093/rfs/hhz126
   Agca S, 2022, MANAGE SCI, V68, P6506, DOI 10.1287/mnsc.2021.4174
   Alevy JE, 2007, J FINANC, V62, P151, DOI 10.1111/j.1540-6261.2007.01204.x
   Annan F, 2015, AM ECON REV, V105, P262, DOI 10.1257/aer.p20151031
   [Anonymous], 2010, OFDACRED INT DISASTE
   [Anonymous], 2017, 4 NATL CLIMATE ASSES, VI
   Antràs P, 2017, AM ECON REV, V107, P2514, DOI 10.1257/aer.20141685
   Baldauf M, 2020, REV FINANC STUD, V33, P1256, DOI 10.1093/rfs/hhz073
   Banerjee S, 2008, J FINANC, V63, P2507, DOI 10.1111/j.1540-6261.2008.01403.x
   Barrot JN, 2016, Q J ECON, V131, P1543, DOI 10.1093/qje/qjw018
   Boehm CE, 2019, REV ECON STAT, V101, P60, DOI 10.1162/rest_a_00750
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   Campello M, 2017, J FINANC ECON, V123, P108, DOI 10.1016/j.jfineco.2016.03.010
   Carleton TA, 2016, SCIENCE, V353, DOI 10.1126/science.aad9837
   Carvalho VM, 2021, Q J ECON, V136, P1255, DOI 10.1093/qje/qjaa044
   Cen L, 2018, ACCOUNT REV, V93, P137, DOI 10.2308/accr-51869
   Cen L, 2017, J FINANC ECON, V123, P377, DOI 10.1016/j.jfineco.2016.09.009
   Chen C, 2023, MANAGE SCI, V69, P5147, DOI 10.1287/mnsc.2022.4586
   Chiang YM, 2011, REV FINANC STUD, V24, P1560, DOI 10.1093/rfs/hhq151
   Choi D, 2020, REV FINANC STUD, V33, P1112, DOI 10.1093/rfs/hhz086
   Chu YQ, 2019, MANAGE SCI, V65, P2445, DOI 10.1287/mnsc.2017.2924
   Cohen L, 2008, J FINANC, V63, P1977, DOI 10.1111/j.1540-6261.2008.01379.x
   Cuculiza C., 2023, CLIMATE SENSITIVITY
   Dasgupta S, 2021, J FINANC QUANT ANAL, V56, P1679, DOI 10.1017/S002210902000068X
   Dass N, 2015, REV FINANC, V19, P1867, DOI 10.1093/rof/rfu038
   Deryugina T, 2013, CLIMATIC CHANGE, V118, P397, DOI 10.1007/s10584-012-0615-1
   Dessaint O, 2017, J FINANC ECON, V126, P97, DOI 10.1016/j.jfineco.2017.07.002
   Ellis N., 2017, DORSEY WHITNEY  1101
   Fee CE, 2006, J FINANC, V61, P1217, DOI 10.1111/j.1540-6261.2006.00871.x
   Fiedler T, 2021, NAT CLIM CHANGE, V11, P87, DOI 10.1038/s41558-020-00984-6
   Ginglinger E., MANAGE SCI
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hertzel MG, 2008, J FINANC ECON, V87, P374, DOI 10.1016/j.jfineco.2007.01.005
   Hong H, 2019, J ECONOMETRICS, V208, P265, DOI 10.1016/j.jeconom.2018.09.015
   Hurrell J., 2011, CLIVAR EXCHANGES, V16, P56
   Ilhan E, 2023, REV FINANC STUD, V36, P2617, DOI 10.1093/rfs/hhad002
   Iyer R, 2018, REV ECON STAT, V100, P92, DOI 10.1162/REST_a_00648
   Kala N., 2019, Learning, Adaptation, and Climate Uncertainty: Evidence from Indian Agriculture
   Kale JR, 2007, J FINANC ECON, V83, P321, DOI 10.1016/j.jfineco.2005.12.007
   Kelly DL, 2005, J ENVIRON ECON MANAG, V50, P468, DOI 10.1016/j.jeem.2005.02.003
   Knoll J.-L., 2020, FOLEY LARDNER LLP
   Krueger P, 2020, REV FINANC STUD, V33, P1067, DOI 10.1093/rfs/hhz137
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Li F. W., 2020, DO FIRMS ADAPT CLIMA
   Li Q., IN PRESS
   Lim K., 2018, Endogenous production networks and the business cycle
   Moore FC, 2017, CLIM CHANG ECON, V8, DOI 10.1142/S2010007817500105
   Noy I, 2009, J DEV ECON, V88, P221, DOI 10.1016/j.jdeveco.2008.02.005
   Oberfield E, 2018, ECONOMETRICA, V86, P559, DOI 10.3982/ECTA10731
   Pankratz N, 2023, MANAGE SCI, V69, P7352, DOI 10.1287/mnsc.2023.4685
   Phua K, 2018, J FINANC ECON, V127, P519, DOI 10.1016/j.jfineco.2017.12.008
   PWC, 2015, CEO PULSE CLIMATE CH
   Schlenker WolframCharles A. Taylor., 2019, MARKET EXPECTATIONS
   Sepannen O., 2006, EFFECT TEMPERATURE T
   Somanathan E, 2021, J POLIT ECON, V129, P1797, DOI 10.1086/713733
   Stromberg D., 2007, Journal of Economic Perspectives, V21, P199, DOI 10.1257/jep.21.3.199
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Thompson Hine LLP, 2020, RISK MIT SUPPL CHAIN
   Verbeek M., 2021, Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications (de Gruyter Studies in the Practice of Econometrics) (De Gruyter Studies in the Practice of Econometrics, 1), V1st
   Weisbach M. S., 2018, CLIMATE CHANGE CORPO
   Xiang JJ, 2014, IND HEALTH, V52, P91, DOI 10.2486/indhealth.2012-0145
   Zhang P, 2018, J ENVIRON ECON MANAG, V88, P1, DOI 10.1016/j.jeem.2017.11.001
   Zivin JG, 2018, J ASSOC ENVIRON RESO, V5, P77, DOI 10.1086/694177
   Zivin JG, 2014, J LABOR ECON, V32, P1, DOI 10.1086/671766
NR 66
TC 10
Z9 11
U1 175
U2 245
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 0893-9454
EI 1465-7368
J9 REV FINANC STUD
JI Rev. Financ. Stud.
PD MAY 16
PY 2024
VL 37
IS 6
BP 1729
EP 1777
DI 10.1093/rfs/hhad093
EA JAN 2024
PG 49
WC Business, Finance; Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA QU9A8
UT WOS:001140112000001
OA hybrid
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Tangney, P
AF Tangney, Peter
TI Between conflation and denial - the politics of climate expertise in
   Australia
SO AUSTRALIAN JOURNAL OF POLITICAL SCIENCE
LA English
DT Article
DE Climate change; Evidence-based policy; Australia; expertise
ID CHANGE ADAPTATION; POLICY; SCIENCE
AB Scientific warnings about impending climate disaster and experts' advocacy for more and better climate science have been largely unsuccessful for advancing evidence-based policy in Australia. Continuing expectations to the contrary stem from a reliance on the supposed ability of science to prime political understandings of climate change. This paper shows how scientists undermine this 'deficit model' ideal by conflating types and uses of evidence and expertise in policymaking. These tactics are unconvincing for conservative opponents, for whom climate science is far from the last word on what climate change means. This paper examines experts' rhetorical tactics through the eyes of conservative policymakers and, thereby, proposes a strategy more likely to effect resilient climate adaptation and mitigation policies in Australia.
C1 [Tangney, Peter] Flinders Univ S Australia, Flinders Ctr Sci Educ 21st Century, Adelaide, SA, Australia.
C3 Flinders University South Australia
RP Tangney, P (corresponding author), Flinders Univ S Australia, Flinders Ctr Sci Educ 21st Century, Adelaide, SA, Australia.
EM peter.tangney@flinders.edu.au
RI /CAE-0280-2022; Tangney, Peter/O-2153-2015
OI Tangney, Peter/0000-0003-3878-4034
CR Abbott Tony, 2018, TWITTER POST
   Abbott Tony, 2013, 1 LEADERS DEBATE 201
   Abbott Tony, 2017, 2017 ANN GLOBAL WARM
   American Association for the Advancement of Science, 2017, BRUSSELS DECLARATION
   [Anonymous], 2017, RENEWABLES 2017 GLOB
   [Anonymous], 1986, Science speaks to power: The role of experts in policy making
   [Anonymous], 2007, The Honest Broker: Making Sense of Science in Policy and Politics
   [Anonymous], 2016, CONVERSATION
   [Anonymous], 1998, Rev. Gen. Psychol, DOI [DOI 10.1037/1089-2680.2.2.175, 10.1037/1089-2680.2.2.175]
   Australian Academy of Science, 2017, AUSTR CLIMATE SCI CA
   Bucchi M, 2007, HANDBOOK OF SCIENCE AND TECHNOLOGY STUDIES, THIRD EDITION, P449
   Christoff P., 1998, ARENA, V10, P113
   Church John, 2016, CONSERVATION
   Climate Council, 2014, LAGGING AUSTR GLOBAL
   Climate Institute, 2017, CLIMATE NATION 2017
   Conant James B., 1995, The Copernican Revolution: Planetary Astronomy in the Development of Western Thought, pxiii
   Cook J., 2016, The Conversation
   Cook J, 2017, ENVIRON COMMUN, V11, P733, DOI 10.1080/17524032.2017.1377095
   Cornwall Warren., 2015, Science
   Crowley K, 2007, GLOBAL ENVIRON POLIT, V7, P118, DOI 10.1162/glep.2007.7.4.118
   Curran G, 2011, ENVIRON PLANN C, V29, P1004, DOI 10.1068/c10217
   Curry Judith, 2015, FOX NEWS OPINION
   Curry Judith, 2013, AUSTRALIAN
   Curry Judith, 2017, CLIMATE ETC BLOG
   Dessai S, 2004, CLIMATIC CHANGE, V64, P11, DOI 10.1023/B:CLIM.0000024781.48904.45
   Dessai S, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P64
   Durack Paul J., 2016, OPEN LETT AUSTR GOVT
   Feyerabend P., 1993, Against Method
   Frigg R, 2015, SYNTHESE, V192, P3979, DOI 10.1007/s11229-015-0739-8
   Frigg Roman, 2013, CTR CLIMATE CHANGE E
   Gartrell A., 2017, SYDNEY MORNING HERAL
   Grattan M., 2018, The Conversation
   Hamilton Clive, 2012, CONVERSATION
   Head BW, 2013, AUST J PUBL ADMIN, V72, P397, DOI 10.1111/1467-8500.12037
   Hulme M, 2008, ENVIRON SCI POLICY, V11, P54, DOI 10.1016/j.envsci.2007.09.003
   Ioannidis JPA, 2005, PLOS MED, V2, P696, DOI 10.1371/journal.pmed.0020124
   Jones Roger, 2016, CONVERSATION
   Kahan DM, 2017, NAT CLIM CHANGE, V7, P309, DOI 10.1038/nclimate3283
   Kahan DM, 2015, POLIT PSYCHOL, V36, P1, DOI 10.1111/pops.12244
   Kahan DM, 2012, NAT CLIM CHANGE, V2, P732, DOI 10.1038/NCLIMATE1547
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Kitcher P., 2011, Science in a Democratic Society
   Lakatos I., 1970, Criticism and the growth of knowledge, P91
   Leith P, 2014, ENVIRON SCI POLICY, V39, P162, DOI 10.1016/j.envsci.2014.01.001
   Lemonick Michael D., 2010, NATURE
   Leviston Z., 2012, Ecopsychology, V4, P277, DOI DOI 10.1089/ECO.2012.0051
   Lewandowsky S, 2013, NAT CLIM CHANGE, V3, P399, DOI [10.1038/nclimate1720, 10.1038/NCLIMATE1720]
   Mann Michael E., 2017, FOREIGN AFF
   McCrone A., 2016, GLOBAL TRENDS RENEWA
   Murphy Katharine., 2017, The Guardian
   Nisbet MC, 2009, ENVIRONMENT, V51, P12, DOI 10.3200/ENVT.51.2.12-23
   Pearce W, 2017, ENVIRON COMMUN, V11, P723, DOI 10.1080/17524032.2017.1333965
   Peters Ekong J., 2014, EMERGENCY MANAGEMENT
   Pielke Jr Roger A., 2015, AM INVESTIGATIONCLIM
   Pielke R.A., 2012, Eos Forum, V93, P52, DOI [10.1029/2012EO050008, DOI 10.1029/2012EO050008]
   Pielke Roger., 2010, THE CLIMATE FIX
   Pitman Andy, 2016, CONVERSATION
   Porter JJ, 2015, GLOBAL ENVIRON CHANG, V35, P411, DOI 10.1016/j.gloenvcha.2015.10.004
   Porter James J., 2016, CTR EC CLIMATE CHANG
   Power S, 2005, B AM METEOROL SOC, V86, P839, DOI 10.1175/BAMS-86-6-839
   Preston B.L., 2013, Successful Adaptation to Climate Change: Linking Science and Policy in a Rapidly Changing World, P151
   Prins Gwyn, 2010, HARTWELL PAPER A NEW
   Rickards L, 2014, ENVIRON PLANN C, V32, P641, DOI 10.1068/c12106
   Ridley Matt, 2012, PERILS CONFIRMATION
   Roberts Malcolm, 2016, CLIMATE CSIRO LACKS
   Roper Thomas, 2016, CLIMATE ADAPTATION 2
   Ryan D, 2015, CLIMATIC CHANGE, V131, P519, DOI 10.1007/s10584-015-1402-6
   Santer Ben, 2017, WASH POST
   Sarewitz D, 2004, ENVIRON SCI POLICY, V7, P385, DOI 10.1016/j.envsci.2004.06.001
   Smith Mike, 2017, MIKE SMITH ENTERPRIS
   Spence A, 2010, GLOBAL ENVIRON CHANG, V20, P656, DOI 10.1016/j.gloenvcha.2010.07.002
   Stokes LC, 2017, NAT ENERGY, V2, DOI 10.1038/nenergy.2017.107
   Sturmer Jake, 2016, CSIRO BOSS DEFENDS S
   Tang S, 2012, WEATHER CLIM SOC, V4, P300, DOI 10.1175/WCAS-D-12-00028.1
   Tangney P., 2017, Climate adaptation policy and evidence: Understanding the tensions between politics and expertise in public policy, DOI [10.4324/9781315269252, DOI 10.1177/0263774X15602023]
   Torabi E, 2017, URBAN POLICY RES, V35, P312, DOI 10.1080/08111146.2017.1294538
   WEISS CH, 1979, PUBLIC ADMIN REV, V39, P426, DOI 10.2307/3109916
   Whitehouse Sheldon, 2015, WASH POST
   Whitmore James, 2016, CONVERSATION
   Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748
   Willacy Mark, 2015, AUSTR BROADCASTING C
NR 81
TC 17
Z9 18
U1 0
U2 15
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1036-1146
EI 1363-030X
J9 AUST J POLIT SCI
JI Aust. J. Polit. Sci.
PD JAN 2
PY 2019
VL 54
IS 1
BP 131
EP 149
DI 10.1080/10361146.2018.1551482
PG 19
WC Political Science
WE Social Science Citation Index (SSCI)
SC Government & Law
GA HJ0FA
UT WOS:000456831800007
DA 2025-01-10
ER

PT J
AU López-García, TG
   Manzano, MG
AF Gabriela Lopez-Garcia, Thania
   Manzano, Mario G.
TI Climate vulnerability and socio-environmental situation: perceptions in
   a semiarid region of northeastern Mexico
SO MADERA Y BOSQUES
LA Spanish
DT Article
DE climate adaptation; environmental and social perceptions; water
   resources
ID KNOWLEDGE
AB Interactions of climate and natural resources with environmental and social deterioration are analyzed in this study of an arid region of northern Mexico known as Galeana Valley. The story of the social development of the region was constructed through face-to-face interviews. The perceptions of farmers regarding vulnerability to climate change, water use and the possibility of adaptation were also analyzed. The main problems in the region arising from the analysis are drought and the depletion of hydrological resources, for which the aquifers are the only source of supply. The importance of direct sources of information and interaction with local stakeholders for creating diagnostics, aligning assistance and agendas of rural development is discussed.
C1 [Gabriela Lopez-Garcia, Thania] Sistemas Ambient Energia Escuela Ingn & Ciecias, Campus Monterrey, Monterrey, Mexico.
   [Manzano, Mario G.] Escuela Ingn Ciencias, Tecnol Monterrey, Campus Monterrey, Monterrey, Mexico.
C3 Tecnologico de Monterrey
RP Manzano, MG (corresponding author), Escuela Ingn Ciencias, Tecnol Monterrey, Campus Monterrey, Monterrey, Mexico.
EM mario.manzano@itesm.mx
CR [Anonymous], 2010, DIARIO OFICIAL FEDER
   [Anonymous], 1993, CULTURA CAMBIO GLOBA
   [Anonymous], 2000, Miradas indigenas sobre una naturaleza entristecida. Percepciones del deterioro ambiental entre nahuas del sur de Veracruz
   Bellon MR, 2011, P NATL ACAD SCI USA, V108, P13432, DOI 10.1073/pnas.1103373108
   Berkes F, 2000, ECOL APPL, V10, P1251, DOI 10.2307/2641280
   Boillat S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05894-180421
   Boissière M, 2013, ECOL SOC, V18, DOI 10.5751/ES-05822-180413
   Comision Nacional del Agua, 2009, DET DISP AG AC NAV P
   Conde A. C., 2007, MAS CAMBIO CLIMATICO, P157
   Consejo Nacional para la Cultura y las Artes, 2005, PUEBL MAIZ COC ANC M
   Cotera M., 2000, AREAS IMPORTANCIA CO
   Cruz-Nieto M. A., 2006, THESIS
   De la Vega-Estrada S., 2010, INDICE MARGINACION L
   Durand Leticia, 2008, Nueva antropol, V21, P75
   Eakin H, 2005, WORLD DEV, V33, P1923, DOI 10.1016/j.worlddev.2005.06.005
   Estrada-Castillón E, 2010, REV MEX BIODIVERS, V81, P401
   Gerritsen P.R., 2003, Econ. Soc. Territ, V4, P253, DOI [10.22136/est002003427, DOI 10.22136/EST002003427]
   Gobierno del Estado de Nuevo Leon, 2010, PROGR ACC ANT CAMB C
   Halder P, 2012, REG ENVIRON CHANGE, V12, P665, DOI 10.1007/s10113-012-0281-x
   Instituto Tecnologico y de Estudios Superiores de Monterrey, 2009, AG VID VIS AG VID EJ
   Magana V., 2004, CAMBIO CLIM TICO VIS, P17
   Magrin G, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P581
   March H, 2014, REG ENVIRON CHANGE, V14, P1189, DOI 10.1007/s10113-013-0561-0
   Martinic S., 1997, DISENO EVALUACION PR
   Ortega-Gaucin D., 2012, NUEVO LEON VULNERABI
   Panel Intergubernamental sobre Cambio Climatico-Grupo de trabajo II, 2001, CLIM CHANG 2001 IMP
   Saldana M., 2013, HERENCIA CENTENARIA
   Scott-Morales L, 2004, J MAMMAL, V85, P1095, DOI 10.1644/BER-107.1
   Vásquez-León M, 2003, GLOBAL ENVIRON CHANG, V13, P159, DOI 10.1016/S0959-3780(03)00034-7
   Yaro JA, 2013, REG ENVIRON CHANGE, V13, P1259, DOI 10.1007/s10113-013-0443-5
NR 30
TC 3
Z9 3
U1 0
U2 12
PU INST ECOLOGIA A C
PI XALAPA
PA KM 2 5 CARR ANT A COATEPEC NO 351, CONGREGACION EL HAYA, XALAPA, VER
   00000, MEXICO
SN 2448-7597
J9 MADERA BOSQUES
JI Madera Bosques
PY 2016
VL 22
IS 2
BP 105
EP 117
DI 10.21829/myb.2016.2221328
PG 13
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA EJ2SU
UT WOS:000393062200009
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Kraller, G
   Lotz, A
   Franz, H
AF Kraller, Gabriele
   Lotz, Annette
   Franz, Helmut
TI Climate impact research in Berchtesgaden National Park Reflections on a
   workshop held on 18 and 19 February 2010
SO ECO MONT-JOURNAL ON PROTECTED MOUNTAIN AREAS RESEARCH
LA English
DT Article
DE climate impact; alpine ecosystems; dynamics; adaptations; Berchtesgaden;
   national park
AB Climate impact research in Berchtesgaden National Park (NP) complies with the provisions of its management plan and is supported by a wide range of scientists working for several institutes in Germany, Austria and Switzerland. To promote the exchange of project ideas in the shared study area and discover synergy effects, the park administration initiated a two day workshop in Berchtesgaden. The main topics covered climate impacts on the water balance and snow cover dynamics, species composition and spatial distribution of alpine ecosystems as well as climate adaptation strategies. Workshop results were given an expert assessment by the recently retired director of the Max Plank Institute of Meteorology, Hartmut Grassl.
C1 [Kraller, Gabriele] Graz Univ, Dept Geog, A-8010 Graz, Austria.
   [Lotz, Annette; Franz, Helmut] Res Coordinat & Informat Syst, D-83471 Berchtesgaden, Germany.
C3 University of Graz
RP Kraller, G (corresponding author), Graz Univ, Dept Geog, Heinrichstr 36, A-8010 Graz, Austria.
EM Gabriele.kraller@uni-graz.at; Annette.lotz@npv-bgd.bayern.de;
   Helmut.franz@npv-bgd.bayern.de
NR 0
TC 2
Z9 2
U1 1
U2 9
PU AUSTRIAN ACAD SCIENCES PRESS, UNIV INNSBRUCK
PI VIENNA
PA PO BOX 471, POSTGASSE 7, VIENNA, 1011, AUSTRIA
SN 2073-106X
EI 2073-1558
J9 ECO MONT
JI Eco Mont
PD DEC
PY 2010
VL 2
IS 2
BP 61
EP 65
PG 5
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA V23TU
UT WOS:000208365900010
DA 2025-01-10
ER

PT J
AU Van Rensburg, W
   Head, BW
AF Van Rensburg, Willem
   Head, Brian W.
TI Climate Change Sceptical Frames: The Case of Seven Australian Sceptics
SO AUSTRALIAN JOURNAL OF POLITICS AND HISTORY
LA English
DT Article
AB Climate change sceptics are known for their resistance to proactive climate response policies, especially policies aimed at restricting greenhouse gas emissions. It is often assumed that scepticism about the science behind climate change would lead directly to outright rejection of all proactive climate policies aimed at mitigating emissions and adapting to climate-induced changes already under way. This article demonstrates the variability among the climate policy views of seven well-known Australian climate change sceptics in the period 2007-2012. Using the lens of frame-analysis, we unpack some key sceptic rationales and narratives. The analysis shows that sceptics share a master frame that privileges individualist-libertarian-progress-social order values, which are thus likely to conflict with the values implicit in conventional climate policy remedies. The analysis also shows that sceptical pre-occupations diverge at more detailed framing levels, with various practical concerns and fears often at the centre of sceptical argumentation
C1 [Van Rensburg, Willem; Head, Brian W.] Univ Queensland, Brisbane, Qld 4072, Australia.
C3 University of Queensland
RP Van Rensburg, W (corresponding author), Univ Queensland, Brisbane, Qld 4072, Australia.
RI van Rensburg, Willem/AAJ-6434-2021; Head, Brian/B-9918-2016
OI Head, Brian/0000-0002-9915-0628
CR [Anonymous], AUSTRALIAN
   [Anonymous], NATL POST
   [Anonymous], PSYCHOL COMPUTER VIS
   [Anonymous], CLIMATE SCEPTICS SHI
   [Anonymous], HUMAN CHOICE CLIMATE
   [Anonymous], NO TERRITORY NE 1122
   [Anonymous], WA BUSINESS NEW 0331
   [Anonymous], CANBERRA TIMES
   [Anonymous], SUNDAY TELEGRAPH
   [Anonymous], 1990, CULTURAL THEORY
   [Anonymous], FINANCIAL POST
   [Anonymous], HERALD SUN
   [Anonymous], COURIER MAIL 0331
   [Anonymous], AUSTRALIAN
   [Anonymous], CANBERRA TIMES
   [Anonymous], AUSTR RESOURCES INVE
   [Anonymous], SUN HERALD 0703
   [Anonymous], AGE
   [Anonymous], THE WEEK STAFF
   [Anonymous], DAILY TELEGRAPH
   [Anonymous], AUSTRALIAN
   [Anonymous], HERALD SUN
   [Anonymous], POSTGR C DISC AN U B
   [Anonymous], AUSTR FINANCIAL REV
   [Anonymous], THE ADVERTISER
   [Anonymous], ABC LATELINE 0224
   [Anonymous], AUSTR RESOURCES INVE
   [Anonymous], AUSTRALIAN
   [Anonymous], ENV SCI POLICY SUSTA
   [Anonymous], 702 ABC SYDNEY
   [Anonymous], CRITICAL FRAME ANAL
   [Anonymous], AUSTRALIAN
   [Anonymous], SUNDAY TELEGRAPH
   [Anonymous], AUSTRALIAN
   [Anonymous], PUBLIC POLICY
   [Anonymous], AUSTR POL STUD ASS A
   Beeson M, 2013, AUST J POLIT HIST, V59, P331, DOI 10.1111/ajph.12019
   Bolt A., 2012, HERALD SUN
   Boykoff MT, 2010, GLOBAL ENVIRON CHANG, V20, P53, DOI 10.1016/j.gloenvcha.2009.09.003
   Capstick SB, 2014, GLOBAL ENVIRON CHANG, V24, P389, DOI 10.1016/j.gloenvcha.2013.08.012
   ENTMAN RM, 1993, J COMMUN, V43, P51, DOI 10.1111/j.1460-2466.1993.tb01304.x
   Gamson W.A., 1983, Evaluating the welfare state: Social and political perspectives, P397
   GERHARDS J, 1995, SOC SCI INFORM, V34, P225, DOI 10.1177/053901895034002003
   Grendstad G, 2000, RISK ANAL, V20, P27, DOI 10.1111/0272-4332.00003
   Hamilton Clive., 2010, REQUIEM SPECIES WHY
   Hobson Kersty, 2013, Public Underst Sci, V22, P396, DOI 10.1177/0963662511430459
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Jacques P, 2006, GLOBAL ENVIRON POLIT, V6, P76, DOI 10.1162/152638006775991894
   Kahan Dan., 2006, Yale Law Policy Review, V24, P147
   Lakoff G, 2010, ENVIRON COMMUN, V4, P70, DOI 10.1080/17524030903529749
   McCombs M., 1997, COMMUNICATION DEMOCR
   McKewon E, 2012, JOURNALISM STUD, V13, P277, DOI 10.1080/1461670X.2011.646403
   Nisbet M.C., 2011, CLIMATE SHIFT CLEAR
   O'Neill SJ, 2010, P NATL ACAD SCI USA, V107, pE151, DOI 10.1073/pnas.1010507107
   Pielke R., 2010, The climate fix: what scientists and politicians wont tell you about global warming
   Pielke RA, 1998, GLOBAL ENVIRON CHANG, V8, P159, DOI 10.1016/S0959-3780(98)00011-9
   Prins G, 2007, NATURE, V449, P973, DOI 10.1038/449973a
   Rayner S, 2010, CLIM POLICY, V10, P615, DOI 10.3763/cpol.2010.0138
   Rossen IL, 2015, J ENVIRON PSYCHOL, V42, P42, DOI 10.1016/j.jenvp.2015.01.006
   Schwarz M., 1990, DIVIDED WE STAND RED
   Thomas DR, 2006, AM J EVAL, V27, P237, DOI 10.1177/1098214005283748
   Thompson M., 2003, ECON POLIT WEEKLY, V38, P5107, DOI DOI 10.1007/s10584-012-0441-5
   Van Rensburg W, 2015, SAGE OPEN, V5, DOI 10.1177/2158244015579723
   Verweij M, 2006, PUBLIC ADMIN, V84, P817, DOI 10.1111/j.1540-8159.2005.09566.x-i1
NR 64
TC 10
Z9 10
U1 0
U2 12
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0004-9522
EI 1467-8497
J9 AUST J POLIT HIST
JI Aust. J. Polit. Hist.
PD MAR
PY 2017
VL 63
IS 1
BP 112
EP 128
DI 10.1111/ajph.12318
PG 17
WC History; Political Science
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC History; Government & Law
GA ER5PB
UT WOS:000398853000008
DA 2025-01-10
ER

PT J
AU Kear, M
   Wilder, MO
   Martinez-Molina, KG
   Mccann, L
   Meyer, D
AF Kear, Mark
   Wilder, Margaret O.
   Martinez-Molina, Karina G.
   Mccann, Laura
   Meyer, Dugan
TI Home thermal security, energy equity and the social production of heat
   in manufactured housing
SO ENERGY RESEARCH & SOCIAL SCIENCE
LA English
DT Article
DE Home thermal security; energy poverty; Energy equity; Extreme heat;
   Manufactured housing; Climate change
ID VULNERABILITY; POVERTY
AB This article contributes to theoretical understandings of the relationships among extreme heat vulnerability, energy equity and home thermal security (HTS) - the ability to maintain a home thermal environment consistent with basic health, social and financial needs. Based on three years of mixed-methods qualitative research among social service practitioners, landlords and residents of mobile and manufactured housing (MH) communities, we argue that thermal insecurity is a socially produced, rather than intrinsic, feature of MH. We use the thermal struggles of MH residents to illustrate how gaps in research, markets, landlord-tenant law, policy, and specific government programs overlap to produce MH as a site of hyper-exclusion from many tools used to mitigate and adapt to climate risk. We find that most MH residents, despite barriers and a warming climate, are able to maintain some level of HTS. We highlight the small-scale, improvisational strategies that households use to cope and adapt to the extreme temperatures. HTS is an achievement sustained by a variety of elements that cannot be reduced to simple metrics (e.g., presence of air conditioning). We conclude with a practical set of policy rec-ommendations as well as a call for an expansive "climate finance" that includes the improvisational practices of excluded groups as innovations worth learning from and investing in.
C1 [Kear, Mark] Univ Arizona UA, Sch Geog Dev & Environm SGDE, Tucson, AZ USA.
   [Wilder, Margaret O.] Univ Arizona, Ctr Latin Amer Studies, Sch Geog Dev & Environm, Tucson, AZ USA.
   [Martinez-Molina, Karina G.] UA, Arid Lands Resource Sci, Tucson, AZ USA.
   [Mccann, Laura] UA, Sch Govt & Publ Policy, Tucson, AZ USA.
   [Meyer, Dugan] UA, SGDE, Tucson, AZ USA.
   [Kear, Mark] 1064 E Lowell St, Tucson, AZ 85719 USA.
C3 University of Arizona
RP Kear, M (corresponding author), 1064 E Lowell St, Tucson, AZ 85719 USA.
EM mkear@arizona.edu
FU U.S. Department of Energy, Office of Science, Office of Biological and
   Environmental Research [DE-SC0023520]; Habitat for Humanity Tucson
FX Thanks first go to the MH residents whose invaluable participation forms
   the foundation of our research. This material is based upon work
   supported by the U.S. Department of Energy, Office of Science, Office of
   Biological and Environmental Research's Urban Integrated Field
   Laboratories research activity, under Award Number (s) DE-SC0023520.
   Sincere thanks also go to the Agnese Nelms Haury Program in Environment
   and Social Justice for providing the seed funding that enabled our
   productive and participatory research partnership with Habitat for
   Humanity Tucson, especially Ann Vargas, and the City of Tucson,
   especially Sarah Launius. Final thanks go to the research
   assistants--Phoenix Eskridge-Aldama, Andrea Lara Garcia, Myriam
   Sandoval, Jo-seph Meisburger, and Michela Wilson-who participated in and
   translated interviews, attended community meetings, and recruited
   participants.
CR American Community Survey, 2020, Public-Use Microdata Sample.
   [Anonymous], Climate Assessment for the Southwest
   [Anonymous], THE GAP
   [Anonymous], 2021, The Washington Post2 Jul
   [Anonymous], 2022, From community resilience to climate justice
   [Anonymous], 2021, Administration for Children & Families, Office of Community Services
   Ash KD, 2017, GEOJOURNAL, V82, P533, DOI 10.1007/s10708-016-9700-8
   Ashrae, 2016, Standard 55-2013 User's Manual: ANSI/ASHRAE Standard 55-2013
   Belury L, 2023, GEOGR REV, V113, P585, DOI 10.1080/00167428.2022.2061858
   Boardman Brenda., 1991, Policy Studies, V12, P30, DOI [10.1080/01442879108423600, DOI 10.1080/01442879108423600]
   Bourdieu Pierre, 1984, Distinction: A Social Critique of the Judgement of Taste
   Bouzarovski S., 2015, Energy Policy Making in the EU: Building the Agenda, P129, DOI [10.1007/978-1-4471-6645-0_7, DOI 10.1007/978-1-4471-6645-0_7, 10.1007/978-1-4471-6645-07, DOI 10.1007/978-1-4471-6645-07]
   Bouzarovski S, 2017, ENERG POLICY, V107, P640, DOI 10.1016/j.enpol.2017.03.064
   Bracking S, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.709
   Clearinghouse L., History of LIHEAP
   Colton R., 1999, J. Afford. Hous. Commun. Dev. Law., P8
   Cutter SL, 2000, ANN ASSOC AM GEOGR, V90, P713, DOI 10.1111/0004-5608.00219
   Day Rosie., 2013, Energy Justice in a Changing Climate: Social Equity and Low-carbon Energy, P14, DOI 10.5040/9781350219908.ch-001
   Desmond M., 2016, The New York Times6 Mar, P5
   Fraser Nancy., 2022, Cannibal Capitalism
   Garcia Ochoa R, 2014, Pobreza energetica en America Latina
   Garcia-Ochoa R., 2016, Economia, sociedad y territorio
   Gilmore RW, 2008, GLOB AREA INT ARCH, V6, P31
   Goodspeed R., 2021, Eviction Case Filings and Neighborhood Characteristics in Urban and Rural Places: A Michigan Statewide Analysis, V31, P717
   Guardaro M, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2022.100415
   Hale CR, 2008, GLOB AREA INT ARCH, V6, P1
   Hall SM, 2013, LOCAL ENVIRON, V18, P413, DOI 10.1080/13549839.2012.759337
   Hamstead ZA, 2023, PLAN THEORY PRACT, V24, P153, DOI 10.1080/14649357.2023.2201604
   Harrison C., 2017, Handbook on the Geographies of Energy, P490
   Harrison C., 2010, Because You Got to Have Heat
   Harrison C, 2011, ANN ASSOC AM GEOGR, V101, P949, DOI 10.1080/00045608.2011.569659
   Harry J.C, 2003, Trailer-park Trash: News, Ideology, & Depictions of the American Underclass
   Herbert C., 2023, Comparison of the costs of manufactured and sitebuilt housing
   Hernández D, 2022, AM BEHAV SCI, V66, P856, DOI 10.1177/00027642211013401
   Hondula DM, 2015, ENVIRON RES, V138, P439, DOI 10.1016/j.envres.2015.02.033
   ipcc.ch, Climate change 2021: The physical science basis
   Jacobs F, 2021, SOCIOLOGICA, V15, P55, DOI 10.6092/issn.1971-8853/11659
   Jenkins K, 2016, ENERGY RES SOC SCI, V11, P174, DOI 10.1016/j.erss.2015.10.004
   Joseph M., 2014, DEBT SOC ACCOUNTING
   Kear M., 2020, Arizona republic3 May
   Kear M., 2019, Making Action Possible for Southern Arizona
   Kear M., 2022, The Manufactured Housing Mosaic: A novel approach to differentiating and measuring social vulnerability, DOI [10.31235/osf.io/g3fys, DOI 10.31235/OSF.IO/G3FYS]
   Kear M, 2023, ANN AM ASSOC GEOGR, V113, P1900, DOI 10.1080/24694452.2023.2200507
   Keith L., 2022, Smart Cities Dive13 Jul
   Keith L., 2019, Assessing Policy Innovation: Climate Action Planning in the U.S. Southwest
   Kusenbach M, 2009, QUAL SOCIOL, V32, P399, DOI 10.1007/s11133-009-9139-z
   Lamb Z, 2023, J AM PLANN ASSOC, V89, P72, DOI 10.1080/01944363.2022.2038238
   Lamm T., 2021, Insurance and extreme heat
   Lamm T, 2020, INSURING EXTREME HEA
   liheappm.acf.hhs, Welcome to LIHEAP performance management
   MacKenzie Donald A., 2008, DO EC MAKE MARKETS P, P311, DOI DOI 10.1177/0170840605056393
   Mitchell BC, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/115005
   Morello R., 2009, The climate gap. Inequalities in How climate change hurts Americans & how to close the gap
   Munyanyi ME, 2021, ENERG ECON, V98, DOI 10.1016/j.eneco.2021.105235
   Nelson KS, 2015, APPL GEOGR, V63, P89, DOI 10.1016/j.apgeog.2015.06.011
   Phillips LA, 2021, PROF GEOGR, V73, P619, DOI 10.1080/00330124.2021.1924805
   Ranganathan M, 2022, ENVIRON PLANN D, V40, P197, DOI 10.1177/02637758221084101
   Roesch-McNally G, 2020, WEATHER CLIM SOC, V12, P337, DOI 10.1175/WCAS-D-19-0060.1
   Roy A., 2019, Housing justice in unequal cities, P13
   Rumbach A, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000357
   Shonkoff SB, 2011, CLIMATIC CHANGE, V109, P485, DOI 10.1007/s10584-011-0310-7
   Sovacool BK, 2012, ENERGY SUSTAIN DEV, V16, P272, DOI 10.1016/j.esd.2012.05.006
   Stone B Jr, 2023, ENVIRON SCI TECHNOL, V57, P8245, DOI 10.1021/acs.est.2c09588
   Sullivan E, 2018, Manufactured Insecurity: Mobile Home Parks and Americans' Tenuous Right to Place, P73
   Tate E, 2021, NAT HAZARDS, V106, P435, DOI 10.1007/s11069-020-04470-2
   Tracey C, You're living in a tin can
   Tuck E, 2009, HARVARD EDUC REV, V79, P409, DOI 10.17763/haer.79.3.n0016675661t3n15
   U.S. Department of Health & Human Services, 2011, LOW INC HOM EN ASS P
   U.S. Department of Health & Human Services, 2021, Report No.: SF-425 Federal Financial Report Submissions for LIHEAP
   United States Congress. House. Committee on Transportation and Infrastructure, 2017, Amending the Robert T. Stafford Disaster Relief and Emergency Assistance Act Concerning the Statute of Limitations for Actions to Recover Disaster Or Emergency Assistance Payments, and for Other Purposes: Report (to Accompany H. R. 1678) (including Cost Estimate of the Congressional Budget Office)
   US Census Bureau, 2020, 2019 American housing survey data
   US Census Bureau, AM COMMUNITY SURVEY
   Wilder M, 2016, LOCAL ENVIRON, V21, P1332, DOI 10.1080/13549839.2015.1116063
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Yip AON, 2020, LOCAL ENVIRON, V25, P473, DOI 10.1080/13549839.2020.1778661
NR 75
TC 1
Z9 1
U1 3
U2 6
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 DEC
PY 2023
VL 106
AR 103318
DI 10.1016/j.erss.2023.103318
EA NOV 2023
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA Y5YQ8
UT WOS:001106016600001
OA Bronze
DA 2025-01-10
ER

PT J
AU Kobi, M
AF Kobi, Madlen
TI Warm bodies in the Chinese borderlands: architecture, thermal
   infrastructure, and territorialization in the arid continental climate
   of urumchi, Xinjiang
SO EURASIAN GEOGRAPHY AND ECONOMICS
LA English
DT Article
DE Xinjiang; heating infrastructure; thermal spaces; architecture;
   urbanization; territoriality
ID MATERIAL CULTURE; STATE
AB Architectural research often considers buildings as local material adaptations to climate, particularly when it comes to the analysis of architecture in rural and small-scale settlements. Based on ethnographic data from the rapidly urbanizing oasis metropolis urumchi in China's northwestern borderlands, this paper goes beyond such a localized view of climate responsiveness. It analyzes how individual thermal practices of residents are linked to the interests of the state and to socio-cultural notions of thermal comfort. Through the classification of Xinjiang as part of China's northern "Heating Zone," the keeping warm of individual bodies becomes part of a territorializing strategy. There are, however, clear seasonal differences in how indoor residential spaces are regulated to maintain bodily comfort. In winter, apartment owners and residents enjoy the amenities of the state-financed heating infrastructure. In summer, cooling strategies depend on more neoliberalized, individual, social, and architectural ways to lower indoor temperatures. This paper unfolds the diversity of thermal discourses and practices that characterize urumchi citizens' creation of comfortable residential spaces throughout the seasons. The data outlines that houses as infrastructures are far from being simple containers that keep residents' bodies warm. Instead, the socio-technical organization of thermal spaces interferes with territorial strategies and ethnic place-making.
C1 [Kobi, Madlen] Univ Svizzera Italiana Lugano, Acad Architettura, Inst Hist & Theory Art & Architecture, Largo Bernasconi 2, CH-6850 Mendrisio, Switzerland.
C3 Universita della Svizzera Italiana
RP Kobi, M (corresponding author), Univ Svizzera Italiana Lugano, Acad Architettura, Inst Hist & Theory Art & Architecture, Largo Bernasconi 2, CH-6850 Mendrisio, Switzerland.
EM madlen.kobi@usi.ch
OI Kobi, Madlen/0000-0001-6644-4083
FU Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen
   Forschung
FX This work was supported by the Schweizerischer Nationalfonds zur
   Forderung der Wissenschaftlichen Forschung [132387,157397].
CR Akin Omer., 1997, VERNAC ARCHIT, P869
   [Anonymous], ART SYMBOLIC RESISTA
   Bray David., 2005, Social Space and Governance in Urban China: The Danwei System from Origins to Reform
   Caprioni E, 2011, PAC AFF, V84, P267, DOI 10.5509/2011842267
   Carsten J., 1995, HOUSE L 6 STRAUSS, P1
   Chen Zhendong, 2009, ZHONGGUO MINJU JIANZ
   Chu JY, 2014, AM ETHNOL, V41, P351, DOI 10.1111/amet.12080
   Collier S. J, 2011, POSTSOVIET SOCIAL NE
   Evans C, 2002, J MAT CULT, V7, P189, DOI 10.1177/1359183502007002639
   Finley JS, 2019, CENT ASIAN SURV, V38, P1, DOI 10.1080/02634937.2019.1586348
   Flitsch Mareile., 2004, OPERA SINOLOGICA
   German Federal Ministry of Education and Research, 2017, RECAST UR M RES EFF
   Glicksman Leon, 2006, ALLIANCE GLOBAL SUST, V9
   Gupta A, 2015, CULT ANTHROPOL, V30, P555, DOI 10.14506/ca30.4.04
   Hitchings R, 2008, J MAT CULT, V13, P251, DOI 10.1177/1359183508095495
   Johnson C, 2016, ECON ANTHROPOL, V3, P94, DOI 10.1002/sea2.12047
   Joniak-Luthi A., 2014, Z ETHNOL, V138, P1
   Kinzley Judd and Agnieszka Joniak-Luthi, 2016, WORKING PAPER SERIES, V36
   Kobi M, 2018, CENT ASIAN SURV, V37, P208, DOI 10.1080/02634937.2018.1427555
   Laszczkowski M, 2015, CITY SOC, V27, P136, DOI 10.1111/ciso.12057
   Leibold James., 2013, SURVEILLANCE SOC
   Liu Jiaping., 2015, LUSE JIANZHU XIBU JI
   Liu Shuling, 2013, J PARTY SCH CPC URUM, V4, P56
   LONG WD, 2013, HEAT VENTILATION, V43, P42
   Loubes Jean-Paul., 1998, ARCHITECTURE URBANIS
   Low SethaM., 2014, MAKING PLACE SPACE E, P19, DOI DOI 10.1161/CIRCULATIONAHA.111.087726
   Millward JA, 2009, CENT ASIAN SURV, V28, P347, DOI 10.1080/02634930903577128
   Pawan S, 2016, INN ASIA, V18, P121, DOI 10.1163/22105018-12340056
   Qi Jiaguo, 2013, URBAN SUSTAINABILITY, P69
   Rapoport Amos, 1969, House form and culture
   Rayner Steve., 2003, WEATHER CLIMATE CULT, P277
   Roesler S, 2018, URBAN MICROCLIMATE AS ARTIFACT: TOWARDS AN ARCHITECTURAL THEORY OF THERMAL DIVERSITY, P1, DOI 10.1515/9783035615159
   Ross Anthony., 2012, DEV XINJIANG UYGHUR
   Sahakian Marlyne., 2014, Keeping Cool in Southeast Asia Energy Consumption and Urban Air-Conditioning
   Scott James C, 2020, SEEING STATE CERTAIN
   Shove E., 2012, Governing the Energy Transition. Reality, P51
   Shove E, 2014, J MAT CULT, V19, P113, DOI 10.1177/1359183514525084
   Sint Hildegard., 2007, ARCHITEKTUR IDENTITA
   Statistic Bureau of Xinjiang Uygur Autonomous Region (Xinjiang Weiwuer Zizhiqu Tongjiju), 2017, ZHUYAO NIENF FANGT K
   Steenberg R, 2019, CRIT ASIAN STUD, V51, P274, DOI 10.1080/14672715.2019.1575758
   Vannini P, 2012, SPACE CULT, V15, P361, DOI 10.1177/1206331211412269
   Wang Joseph C., 1997, VERNAC ARCHIT, P890
   Woodworth MD, 2018, LANDSCAPE RES, V43, P891, DOI 10.1080/01426397.2017.1404020
   XUARPGSO (Xinjiang Uyghur Autonomous Region People's Government News Department) and XUARSO (Xinjiang Uyghur Autonomous Region Statistical Office), 2008, 2008 ZHONGG XINJ
   Yeh EmilyT., 2013, Taming Tibet: Landscape Transformation and the Gift of Chinese Development
   Zenz A, 2019, CENT ASIAN SURV, V38, P102, DOI 10.1080/02634937.2018.1507997
   Zhai Yuanjing., 2017, CHINA CULTURAL HERIT
   Zou Yixin., 2016, ZHONGGUO DIANLI, V10, P1
NR 48
TC 4
Z9 4
U1 0
U2 8
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1538-7216
EI 1938-2863
J9 EURASIAN GEOGR ECON
JI Eurasian Geogr. Econ.
PD JAN 2
PY 2020
VL 61
IS 1
SI SI
BP 77
EP 99
DI 10.1080/15387216.2020.1714461
EA JAN 2020
PG 23
WC Area Studies; Geography
WE Social Science Citation Index (SSCI)
SC Area Studies; Geography
GA KV6LH
UT WOS:000509086000001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Kelso, C
   Vogel, C
AF Kelso, Clare
   Vogel, Coleen
TI Diversity to decline-livelihood adaptations of the Namaqua Khoikhoi
   (1800-1900)
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Namaqualand; Livelihoods; Colonialism; Vulnerability; Adaptation;
   Exposure
ID SUSTAINABLE LAND-USE; CLIMATE-CHANGE; ADAPTIVE CAPACITY;
   SOUTHERN-AFRICA; HISTORICAL CLIMATOLOGY; RAINFALL VARIABILITY; HUMAN
   DIMENSIONS; VULNERABILITY; 19TH-CENTURY; DROUGHT
AB An environmental history of the Leliefontein community of Namaqualand, Northern Cape provides a detailed case of the nexus between social and ecological stresses shaping livelihood change. By combining an historical proxy precipitation data set with a livelihood change study the value of historical research in integrated studies of past human-environment systems is illustrated. The identification of effective livelihood adaptation to extreme climatic conditions is examined, illustrating the tradeoffs made between adaptation and 'coping' strategies which were unsuccessful over the long term. During the course of the 19th century the Namaqua Khoikhoi population changed from a sustainable nomadic pastoral community to a poverty stricken rural community with a diversity of livelihood strategies. For the Namaqua increased livelihood diversity - usually an effective adaptation in times of stress - instead of promoting resilience, contributed to their material decline. Widespread transhumance between different climatic regions is shown to have been a successful adaptation to climatic extremes, but external economic exposure and restricted access to land become drivers of decline. The 'double exposure' framework used in contemporary studies, proved useful in accounting for this decline as it can accommodate both environmental and economic stressors. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Kelso, Clare] Univ Johannesburg, Dept Geog Environm Management & Energy Studies, ZA-2006 Johannesburg, South Africa.
   [Vogel, Coleen] Univ Witwatersrand, GCSRI, Johannesburg, South Africa.
C3 University of Johannesburg; University of Witwatersrand
RP Kelso, C (corresponding author), Univ Johannesburg, Dept Geog Environm Management & Energy Studies, Kingsway Campus,POB 524,Auckland Pk, ZA-2006 Johannesburg, South Africa.
EM ckelso@uj.ac.za; coleen.vogel@wits.ac.za
FU University of Johannesburg; European Commission [ERBIC18CT970162]; South
   African National Research Foundation Thuthuka [TTK20110817000024977]
FX The authors are grateful for the funding that assisted this research.
   Firstly, the University of Johannesburg for providing facilities and
   funding. Secondly, at the outset of the archival research assistance was
   provided from a European Commission grant (Contract no.
   ERBIC18CT970162). Thirdly, assistance came from the South African
   National Research Foundation Thuthuka funding programme grant number:
   TTK20110817000024977. Without the financial assistance from these
   organisations the research would not have been possible. Particular
   thanks goes to David Nash for his constructive input on an earlier draft
   of this research. Access to historical resources, in particular the
   papers of Robert Jacob Gordon, was provided by the Brenthust library and
   the authors would like to thank all of the librarians for their informed
   assistance. Access to Government archival sources was provided by the
   National Archives of South Africa in both Pretoria and Cape Town and the
   assistance of the archivists was much appreciated. In addition, the
   authors are grateful for the thorough and insightful comments from the
   reviewers for Global Environmental Change, which were vital to refining
   the manuscript. Finally, thanks to Wendy Job for assistance in the
   preparation of the maps and figures.
CR Adamson GCD, 2014, GEOFORUM, V55, P110, DOI 10.1016/j.geoforum.2014.05.010
   Adamson GCD, 2013, CLIM DYNAM, V40, P2589, DOI 10.1007/s00382-012-1494-x
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Alexander J.E., 1967, EXPEDITION DISCOVERY, V1
   [Anonymous], CAPE TRAVELS 1777 17
   Barrow John., 1801, Travels into the Interior of South Africa
   Berkes R., 2003, NAVIGATING SOCIAL EC
   Berland AJ, 2013, CLIM PAST, V9, P1331, DOI 10.5194/cp-9-1331-2013
   Brázdil R, 2005, CLIMATIC CHANGE, V70, P363, DOI 10.1007/s10584-005-5924-1
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Butzer KW, 2012, P NATL ACAD SCI USA, V109, P3632, DOI 10.1073/pnas.1114845109
   Cairncross B., 2004, Mineralogical Record, V35, P289
   Cameron ES, 2012, GLOBAL ENVIRON CHANG, V22, P103, DOI 10.1016/j.gloenvcha.2011.11.004
   Cape of Good Hope (Colony) Blue Books, 1838, CIVIL COMMISSIONERS
   Cape of Good Hope (Colony) Blue Books, 1867, CIVIL COMMISSIONERS
   Cape of Good Hope (Colony) Blue Books, 1879, CIVIL COMMISSIONERS, P1879
   Cape of Good Hope (Colony) Blue Books, 1860, CIVIL COMMISSIONERS
   Cape of Good Hope (Colony) Blue Books, 1858, CIVIL COMMISSIONERS
   Cape of Good Hope (Colony) Blue Books, 1862, CIVIL COMMISSIONERS
   Cape of Good Hope (Colony) Blue Books, 1869, CIVIL COMMISSIONERS, P1869
   Carstens P., 1966, The social structure of a Cape Coloured reserve
   Comaroff J., 1991, REVELATION REVOLUTIO, V1
   Comaroff J., 1999, LONDON MISSIONARY SO, V1999, P56
   Cousins B, 2007, J ARID ENVIRON, V70, P834, DOI 10.1016/j.jaridenv.2007.04.002
   Desmet PG, 2007, J ARID ENVIRON, V70, P570, DOI 10.1016/j.jaridenv.2006.11.019
   DEVEREUX S, 1993, IDS BULL-I DEV STUD, V24, P52, DOI 10.1111/j.1759-5436.1993.mp24004006.x
   Duncan James., 1993, Place/Culture/Representation, P39
   Duncan James., 1999, Writes of Passage: Reading Ttravel Writing, P1
   Ekblom A, 2012, AMBIO, V41, P479, DOI 10.1007/s13280-012-0286-1
   Elphick R.H., 1972, KRAAL CASTLE KHOIKHO
   Elphick R.H., 1972, CAPE KHOI 1 PHASE S
   Elphick Richard., 1979, SHAPING S AFRICAN SO
   Endfield GH, 2007, CLIMATIC CHANGE, V83, P9, DOI 10.1007/s10584-006-9125-3
   Endfield GH, 2006, CLIMATIC CHANGE, V75, P391, DOI 10.1007/s10584-006-3492-7
   Endfield GH, 2005, T I BRIT GEOGR, V30, P368, DOI 10.1111/j.1475-5661.2005.00177.x
   Endfield GH, 2002, ANN ASSOC AM GEOGR, V92, P727, DOI 10.1111/1467-8306.00313
   Endfield GH, 2002, GEOGR J, V168, P33, DOI 10.1111/1475-4959.00036
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   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]
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   FOX SC, 2005, S AFR GEOGR J, V87, P85
   Fraser EDG, 2007, CLIMATIC CHANGE, V83, P495, DOI 10.1007/s10584-007-9240-9
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Füssel HM, 2010, GLOBAL ENVIRON CHANG, V20, P597, DOI 10.1016/j.gloenvcha.2010.07.009
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Goldman MJ, 2013, GLOBAL ENVIRON CHANG, V23, P588, DOI 10.1016/j.gloenvcha.2013.02.010
   Grab SW, 2010, CLIM DYNAM, V34, P473, DOI 10.1007/s00382-009-0598-4
   GROVE R, 1989, J S AFR STUD, V15, P163, DOI 10.1080/03057078908708196
   Hannaford MJ, 2014, ENVIRON HIST-UK, V20, P411, DOI 10.3197/096734014X14031694156484
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hoffman MT, 2007, J ARID ENVIRON, V70, P641, DOI 10.1016/j.jaridenv.2006.05.014
   Hoffman MT, 2007, J ARID ENVIRON, V70, P561, DOI 10.1016/j.jaridenv.2006.11.021
   HOFFMAN MT, 1990, S AFR J SCI, V86, P286
   Holling C.S., 2001, PANARCHY UNDERSTANDI, V1st
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Holmgren Karin, 2006, Environment Development and Sustainability, V8, P185, DOI 10.1007/s10668-005-5752-5
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P240, DOI 10.1016/j.gloenvcha.2006.04.001
   Kelso C, 2007, CLIMATIC CHANGE, V83, P357, DOI 10.1007/s10584-007-9264-1
   Leeuwenburg J., 1972, COLOURED CITIZ UNPUB
   Leichenko R., 2008, ENV CHANGE GLOBALIZA
   Lutz CatherineA. Jane L. Collins., 1993, READING NATL GEOGRAP
   MacKellar NC, 2007, J ARID ENVIRON, V70, P604, DOI 10.1016/j.jaridenv.2006.03.024
   MARKS S, 1972, J AFR HIST, V13, P55, DOI 10.1017/S0021853700000268
   Mossop E.E., 1935, J HJ WIKAR 1779 J JC, V15
   Mossop E.E., 1947, J BRINK RHENUIS, V28
   Nash D.J., 2014, INT J CLIMATOL
   Nash DJ, 2008, CLIMATIC CHANGE, V86, P257, DOI 10.1007/s10584-007-9274-z
   Nash DJ, 2014, B AM METEOROL SOC, V95, P131, DOI 10.1175/BAMS-D-12-00030.1
   Nash DJ, 2010, CLIMATIC CHANGE, V101, P617, DOI [10.1007/s10584-009-9707-y, 10.1007/s10584-009-9707-v]
   Nash DJ, 2002, S AFR J SCI, V98, P244
   Nash DJ, 2002, INT J CLIMATOL, V22, P821, DOI 10.1002/joc.753
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Neukom R, 2014, CLIM DYNAM, V42, P2713, DOI 10.1007/s00382-013-1886-6
   Neukom R, 2012, HOLOCENE, V22, P501, DOI 10.1177/0959683611427335
   NICHOLSON SE, 1979, J AFR HIST, V20, P31, DOI 10.1017/S0021853700016704
   Nicholson SE, 2001, CLIMATIC CHANGE, V50, P317, DOI 10.1023/A:1010674724320
   Nicholson SE, 2012, B AM METEOROL SOC, V93, P1219, DOI 10.1175/BAMS-D-11-00212.1
   Nicholson SE, 2012, QUATERNARY RES, V78, P13, DOI 10.1016/j.yqres.2012.03.012
   Nicholson SharonE., 1981, Climate and History, P249
   O'Brien K, 2009, ENVIRON SCI POLICY, V12, P23, DOI 10.1016/j.envsci.2008.10.008
   O'Brien K., 2004, Center for International Climate and Environmental Research-Working Paper 04
   O'Brien KL, 2003, ANN ASSOC AM GEOGR, V93, P89, DOI 10.1111/1467-8306.93107
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   O'Connor TG, 2004, CLIMATIC CHANGE, V66, P49, DOI 10.1023/B:CLIM.0000043192.19088.9d
   Orlove B, 2005, ENVIRON SCI POLICY, V8, P589, DOI 10.1016/j.envsci.2005.06.009
   Parkington J., 1984, PAT PRESENT HUNTERGA
   Penn N., 1995, EINIQUALAND STUDIES
   Penn Nigel., 2005, FORGOTTEN FRONTIER C
   Pfister C., 2002, PAGES (Past Global Changes) News, V10, P6, DOI DOI 10.22498/PAGES.10.3.6
   PFISTER C, 2009, DOCUMENTARY EVIDENCE
   Pfister C, 2010, CLIMATIC CHANGE, V100, P25, DOI 10.1007/s10584-010-9829-2
   Price M.J., 1976, THESIS
   Rhenius E.J.T., 1947, J ENSIGN JOHANNES TO, V28
   Rüther K, 2012, J S AFR STUD, V38, P369, DOI 10.1080/03057070.2012.682840
   Said E.W., 1979, ORIENTALISM
   Shaw Barnabas., 1970, MEMORIALS S AFRICA
   Smalberger J.M., 1975, ASPECTS HIST COOPER
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   van der Stel S., 1932, S VANDERSTELS J HIS
   van der Stel S., 1979, S VANDERSTELS JOURNE
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Vogel C.H., 1987, THESIS
   Vogel C.H., 1994, THESIS
   VOGEL CH, 1989, CLIMATIC CHANGE, V14, P291, DOI 10.1007/BF00134967
   Webley L, 2007, J ARID ENVIRON, V70, P629, DOI 10.1016/j.jaridenv.2006.03.009
   Webley L, 1992, THESIS
   Wesleyan Methodist Missionary Society (WMMS(a)), 1829, METHODIST MAGAZINE
   Wesleyan Methodist Missionary Society (WMMS(a)), 1860, METHODIST MAGAZINE
   Wesleyan Methodist Missionary Society (WMMS(a)), 1832, METHODIST MAGAZINE
   Wesleyan Methodist Missionary Society (WMMS(a)), 1837, METHODIST MAGAZINE
   Wesleyan Methodist Missionary Society (WMMS(a)), METHODIST MAGAZINE
   Wesleyan Methodist Missionary Society (WMMS(b)), 1838, REP W METH MISS SOC
   Wesleyan Methodist Missionary Society (WMMS(b)), 1818, REP WESL METH MISS S
   Wesleyan Methodist Missionary Society (WMMS(b)), 1834, REP WESL METH MISS S
   Wesleyan Methodist Missionary Society (WMMS(b)), 1846, REP WESL METH MISS S
   Wesleyan Methodist Missionary Society (WMMS(c)), 1864, MISS NOT
   Wesleyan Methodist Missionary Society (WMMS(c)), 1826, MISS NOT 1826 1837
   Wesleyan Methodist Missionary Society (WMMS(c)), MISS NOT 1821 1822
   Wesleyan Methodist Missionary Society (WMMS(c)), 1856, MISS NOT
   Wesleyan Methodist Missionary Society (WMMS(c)), 1847, MISS NOT 1847
   Ziervogel G, 2004, GEOGR J, V170, P6, DOI 10.1111/j.0016-7398.2004.05002.x
NR 125
TC 11
Z9 11
U1 1
U2 18
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 NOV
PY 2015
VL 35
BP 254
EP 268
DI 10.1016/j.gloenvcha.2015.09.005
PG 15
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA CZ0AI
UT WOS:000366767100023
DA 2025-01-10
ER

PT J
AU Vaughn, SE
AF Vaughn, Sarah Elizabeth
TI Ecotourism's ethics: Self-organization and care in urban Guyana
SO ENVIRONMENT AND PLANNING E-NATURE AND SPACE
LA English
DT Article
DE Anthropocene; ethics; ecotourism; self-organization; climate adaptation
ID ANTHROPOCENE; TOURISM
AB In this article, I shed light on the ethical orientations of people who labour and invest in ecotourism, and the conditions through which ecotourism becomes recognizable as a neoliberal practice. I reveal that what distinguishes ecotourism is not merely its arrangements for the commodification of nature and related scientific enterprises. Instead, ecotourism depends in part on how people live with environmental degradation and the flexible ways in which they relate ideas of care to such lived experiences. Drawing on research conducted in urban Guyana, the article lays out people's struggles to plan for mangrove tourism despite the presence of garbage and the threat of erosion to forests. In so doing, I illustrate that ecotourism expresses itself through self-organizing processes and therefore, is dialectically intertwined with sociopolitical strategies of care and its distribution.
C1 [Vaughn, Sarah Elizabeth] Univ Calif Berkeley, Berkeley, CA 94720 USA.
C3 University of California System; University of California Berkeley
RP Vaughn, SE (corresponding author), Univ Calif Berkeley, Dept Anthropol, 232 Kroeber Hall, Berkeley, CA 94720 USA.
EM sev83@berkeley.edu
CR Adamson AlanH., 1972, SUGAR SLAVES POLITIC
   Agrawal Arun., 2005, ENVIRONMENTALITY TEC
   [Anonymous], 2007, STAT WORLDS FOR 2007
   [Anonymous], 2001, UNEP WCMC GLOBAL SEA
   Anthony EJ, 2012, ECOL ENG, V47, P268, DOI 10.1016/j.ecoleng.2012.07.005
   Appadurai Arjun., 2015, Banking on words: The failure of language in the age of derivative finance
   Augustinus P. G. E. F., 1978, THESIS
   Baptista JA, 2012, AM ANTHROPOL, V114, P639, DOI 10.1111/j.1548-1433.2012.01515.x
   Blaikie PiersHarold Brookfield., 1987, LAND DEGRADATION SOC
   Bornstein E, 2009, CULT ANTHROPOL, V24, P622, DOI 10.1111/j.1548-1360.2009.01042.x
   Brotherson F., 2015, TOURISM MARKETING MA, P8999
   Bulow E S., 2013, The effect of consumptive waste on mangrove functionality: A comparative analysis, V33 pages
   Büscher B, 2016, AREA, V48, P161, DOI 10.1111/area.12153
   Butcher J., 2006, Journal of Sustainable Tourism, V14, P529, DOI 10.2167/jost610.0
   Chalmers A.F., 1976, WHAT IS THIS THING C
   Connolly WilliamE., 2013, The Fragility of Things: Self-organizing Processes, Neoliberal Fantasies, and Democratic Activism
   Cronon W, 1996, ENVIRON HIST, V1, P7, DOI 10.2307/3985059
   Das V, 2007, LIFE AND WORDS: VIOLENCE AND THE DESCENT INTO THE ORDINARY, P1
   De Barros Juanita., 2003, Order and Place in a Colonial City: Patterns of Struggle and Resistance in Georgetown, British Guiana, 1889-1924
   Duffy Rosaleen., 2003, The Ethics of Tourism Development
   Edwards R, 2005, CITIES, V22, P446, DOI 10.1016/j.cities.2005.07.010
   Espino MD., 2015, TOURISM MARKETING MA, P101
   Fletcher Robert., 2014, ROMANCING WILD CULTU
   Global Climate Change Alliance (GCCA), 2012, SUST COAST ZON PROT
   Government of Guyana, 2010, TRANSF GUYAN EC COMB
   Guyana Ministry of Communities (GMC), 2017, PUTT WAST ITS PLAC N
   Hintzen PercyC., 2006, The Costs of Regime Survival: Racial Mobilization, Elite Domination, and Control of the State in Guyana and Trinidad
   Hogg Dominic., 2006, CHANGING CLIMATE ENE
   Honey M, 2008, ECOTOUR BK SER, P234, DOI 10.1079/9781845934002.0234
   Igoe J, 2022, ENCRUCIJADAS, V22
   Jagan Cheddi., 1997, The West on Trial: My Fight for Guyana's Freedom
   Kirksey Eben., 2015, EMERGENT ECOLOGIES
   Lipset D, 2014, HAU-J ETHNOGR THEORY, V4, P215, DOI 10.14318/hau4.3.014
   Livingston Julie., 2019, SELF DEVOURING GROWT, DOI DOI 10.1215/9781478007005
   Mair J, 2015, HAU-J ETHNOGR THEORY, V5, P201, DOI 10.14318/hau5.2.013
   Martins D, 2012, EXPLORE GUYANA, P6466
   McAfee K, 1999, ENVIRON PLANN D, V17, P133, DOI 10.1068/d170133
   Meletis ZA, 2009, ANTIPODE, V41, P741, DOI 10.1111/j.1467-8330.2009.00696.x
   Moore A, 2015, J LAT AM CARIBB ANTH, V20, P513, DOI 10.1111/jlca.12170
   Mowforth M., 2021, TOURISM SUSTAINABILI, P106
   Muehlebach A, 2013, AM ANTHROPOL, V115, P452, DOI 10.1111/aman.12028
   Neves K, 2010, ANTIPODE, V42, P719, DOI 10.1111/j.1467-8330.2010.00770.x
   Palmer CA, 2010, CHEDDI JAGAN AND THE POLITICS OF POWER: BRITISH GUIANA'S STRUGGLE FOR INDEPENDENCE, P1
   Pan American Health Organization (PAHO), 2003, REG EV MUN SOL WAST
   Parrenas J.S., 2018, DECOLONIZING EXTINCT
   Pattullo Polly., 1996, Last Resorts: The Cost of Tourism in the Caribbean
   Peake Linda., 2005, Negotiating Caribbean Freedom: Peasants and the State in Development, P121
   Pelling M, 1999, GEOFORUM, V30, P249, DOI 10.1016/S0016-7185(99)00015-9
   People's National Congress (PNc), 1979, REP 3 BIENN C PEOPL, V2
   Reno Joshua, 2015, Waste Away: Working and Living with a North American Landfill
   Rodney W., 1981, HIST GUYANESE WORKIN
   Rodway James., 1997, The Story of Georgetown
   Satsuka Shiho., 2015, Nature in Translation: Japanese Tourism Encounters the Canadian Rockies
   Sheller M, 2009, SINGAPORE J TROP GEO, V30, P189, DOI 10.1111/j.1467-9493.2009.00365.x
   Stabroek Staff Writer, 2009, STABROEK NEWS 1117
   Strachan A., 1989, URBANIZATION PLANNIN, P140
   Stronza A, 2008, ECOTOUR BK SER, P1, DOI 10.1079/9781845934002.0000
   Thompson Krista., 2007, An Eye for the Tropics: Tourism, Photography, and Framing the Caribbean Picturesque
   Trotz Alissa, 1996, EUR J DEV RES, V8, P177
   Tsing Anna., 2012, RCC Perspectives, P95
   Vivanco Luis., 2006, GREEN ENCOUNTERS SHA
   Wenner MD., 2015, INTERAMERICAN DEV BA
   West P, 2004, CURR ANTHROPOL, V45, P483, DOI 10.1086/422082
NR 63
TC 0
Z9 1
U1 0
U2 5
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 2514-8486
EI 2514-8494
J9 ENVIRON PLAN E-NAT
JI Environ. Plan. E-Nat. Space
PD JUN
PY 2022
VL 5
IS 2
BP 976
EP 994
DI 10.1177/25148486211018566
PG 19
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 2A6PA
UT WOS:000809620500022
DA 2025-01-10
ER

PT C
AU Rawal, R
   Pradhan, P
AF Rawal, Ruchit
   Pradhan, Prabhu
GP IEEE COMP SOC
TI Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
SO 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION
   WORKSHOPS (CVPRW 2020)
SE IEEE Computer Society Conference on Computer Vision and Pattern
   Recognition Workshops
LA English
DT Proceedings Paper
CT IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CY JUN 14-19, 2020
CL ELECTR NETWORK
SP IEEE, CVF, IEEE Comp Soc
AB The utility of aerial imagery (Satellite, Drones) has become an invaluable information source for cross-disciplinary applications, especially for crisis management. Most of the mapping and tracking efforts are manual which is resource-intensive and often lead to delivery delays. Deep Learning methods have boosted the capacity of relief efforts via recognition, detection, and are now being used for non-trivial applications. However the data commonly available is highly imbalanced (similar to other real-life applications) which severely hampers the neural network's capabilities, this reduces robustness and trust. We give an overview on different kinds of techniques being used for handling such extreme settings and present solutions aimed at maximizing performance on minority classes using a diverse set of methods (ranging from architectural tuning to augmentation) which as a combination generalizes for all minority classes. We hope to amplify cross-disciplinary efforts by enhancing model reliability.
C1 [Rawal, Ruchit] Netaji Subhas Univ Technol, New Delhi, India.
   [Pradhan, Prabhu] Max Planck Inst Intelligent Syst, Tubingen, Germany.
   [Pradhan, Prabhu] Indian Inst Sci IISc Bangalore, Aerosp Engn, GCDSL, Bangalore, Karnataka, India.
C3 Netaji Subhas University of Technology; Max Planck Society; Indian
   Institute of Science (IISC) - Bangalore
RP Rawal, R (corresponding author), Netaji Subhas Univ Technol, New Delhi, India.
EM ruchitr.ec.17@nsit.net.in; prabhu.pradhan@tuebingen.mpg.de
FU IISc-B
FX PP extends special thanks to Debasish Ghose (IISc-B) and Krikamol
   Muandet (MPI-IS) for supporting this work.
CR Along Qiaoyong, 2016, IEEE C COMP VIS PATT
   [Anonymous], 2018, ADV NEWAL INFORM PRO
   Bo Tara, 2019, DEALING HUHALANCED D
   Brodersen Kay H., 2010, Proceedings of the 2010 20th International Conference on Pattern Recognition (ICPR 2010), P3121, DOI 10.1109/ICPR.2010.764
   Buda M, 2018, NEURAL NETWORKS, V106, P249, DOI 10.1016/j.neunet.2018.07.011
   Byrd J, 2019, PR MACH LEARN RES, V97
   Cao KD, 2019, ADV NEUR IN, V32
   Cui Y, 2019, PROC CVPR IEEE, P9260, DOI 10.1109/CVPR.2019.00949
   Ferreira J, 2019, INFORMATION, V10, DOI 10.3390/info10030113
   Focareta M., 2015, P 1 INT C METR ARCH
   Garipov T, 2018, ADV NEUR IN, V31
   Ghosh A, 2018, PROC CVPR IEEE, P8513, DOI 10.1109/CVPR.2018.00888
   Greitemann J., 2019, ACM Trans. Intell. Syst. Technol., V99, P1, DOI DOI 10.1145/3298981
   Groves P, 2004, 2003 IEEE WORKSHOP ON ADVANCES IN TECHNIQUES FOR ANALYSIS OF REMOTELY SENSED DATA, P120
   He HB, 2009, IEEE T KNOWL DATA EN, V21, P1263, DOI 10.1109/TKDE.2008.239
   He KM, 2016, PROC CVPR IEEE, P770, DOI 10.1109/CVPR.2016.90
   Hobbs Andrew, 2020, SATELLITE BASED PRED
   Hooker S, 2019, ADV NEUR IN, V32
   Huang C, 2020, IEEE T PATTERN ANAL, V42, P2781, DOI 10.1109/TPAMI.2019.2914680
   Huang C, 2016, PROC CVPR IEEE, P5375, DOI 10.1109/CVPR.2016.580
   Ian Goodfellow J., 2020, PROC 27 INT C NEURAL, V63, P139, DOI [DOI 10.1145/3422622, 10.1145/3422622]
   Izmailov P., 2018, UNC ART INT, P876
   Japkowicz N., 2002, Intelligent Data Analysis, V6, P429
   Jin C, 2017, PR MACH LEARN RES, V70
   Kerdegari I lamideh, 2019, ABS190510920 ARXIV, P10920
   Larsen A.B.L, 2015, ARXIV PREPRINT ARXIV
   Li Hao, 2018, ADV NEURAL INFORM PR
   Liu XY, 2018, IEEE IMAGE PROC, P873, DOI 10.1109/ICIP.2018.8451049
   Mehrjou Arash, 2019, ABS191014428 ARXIV
   Pradhan Prahhu, 2019, NEUR INF PROC SYST N
   Radford Alec, 1934, INT C LEARN REPR ICL
   Razavi A, 2019, ADV NEUR IN, V32
   Rocca B., 2019, Towards Data Science
   Russakovsky O, 2015, INT J COMPUT VISION, V115, P211, DOI 10.1007/s11263-015-0816-y
   Sandfort V, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-52737-x
   Selvaraju RR, 2017, IEEE I CONF COMP VIS, P618, DOI 10.1109/ICCV.2017.74
   Shen L, 2016, LECT NOTES COMPUT SC, V9911, P467, DOI 10.1007/978-3-319-46478-7_29
   Smith LN, 2017, IEEE WINT CONF APPL, P464, DOI 10.1109/WACV.2017.58
   Sokolova M, 2009, INFORM PROCESS MANAG, V45, P427, DOI 10.1016/j.ipm.2009.03.002
   Sun WW, 2019, IEEE GEOSC REM SEN M, V7, P118, DOI 10.1109/MGRS.2019.2911100
   Tan MX, 2019, PR MACH LEARN RES, V97
   Tsagkatakis Grigorios, 2019, SENSORS
   van den Oord A, 2017, ADV NEUR IN, V30
   Wu Y., 2019, ADV NEURAL INFORM PR
   Zagoruyko S., 2016, BRIT MACH VIS C BMVC
   Zhou B, 2016, PROC CVPR IEEE, P2921, DOI 10.1109/CVPR.2016.319
   Zoph Barret, 2016, arXiv
NR 47
TC 0
Z9 0
U1 1
U2 2
PU IEEE COMPUTER SOC
PI LOS ALAMITOS
PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
SN 2160-7508
BN 978-1-7281-9360-1
J9 IEEE COMPUT SOC CONF
PY 2020
BP 350
EP 359
DI 10.1109/CVPRW50498.2020.00047
PG 10
WC Computer Science, Artificial Intelligence; Computer Science, Theory &
   Methods
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science
GA BT0JZ
UT WOS:000788279000038
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Syrbe, RU
   Meier, S
   Moyzes, M
   Dworczyk, C
   Grunewald, K
AF Syrbe, Ralf-Uwe
   Meier, Sophie
   Moyzes, Michelle
   Dworczyk, Claudia
   Grunewald, Karsten
TI Assessment and Monitoring of Local Climate Regulation in Cities by Green
   Infrastructure-A National Ecosystem Service Indicator for Germany
SO LAND
LA English
DT Article
DE climate adaptation; cooling; green space; urban heat island; urban
   planning
ID HEAT; CITY; ISLANDS
AB In densely built-up urban areas, green spaces such as gardens, parks, forests and water bodies can greatly enhance the quality of life for local residents and promote human health. These areas mitigate heat stress and the urban heat island effect to create a balanced local climate. To quantify the ecosystem service of "urban climate regulation" provided by urban green infrastructure, we developed a national indicator for specific measurement and monitoring. This indicator captures both the supply of climate-regulating services by urban green spaces and the demand for this service from the residential population. Using nationwide geodata, a cooling capacity value can be calculated that reflects the tree canopy, soil cover, sizes of green area and site characteristics. This cooling capacity value is then related to the affected residential population in the neighbourhood. Our analysis indicates that 76% of the population in the 165 case cities in Germany enjoy high or very high cooling capacities in their immediate living environment. In 37 cities, over 85% of the population benefits from good or very good cooling capacity provided by green space. The proposed indicator enables a comparison of the cooling service of urban green infrastructure and offers a sound basis for spatial planning and decision-making in urban areas.
C1 [Syrbe, Ralf-Uwe; Meier, Sophie; Dworczyk, Claudia; Grunewald, Karsten] Leibniz Inst Ecol Urban & Reg Dev IOER, Weberpl 1, D-01217 Dresden, Germany.
   [Moyzes, Michelle] Energiedienst Holding AG, Baslerstr 44, CH-5080 Laufenburg, Switzerland.
C3 Leibniz Institut fur okologische Raumentwicklung
RP Syrbe, RU (corresponding author), Leibniz Inst Ecol Urban & Reg Dev IOER, Weberpl 1, D-01217 Dresden, Germany.
EM r.syrbe@ioer.de; s.meier@ioer.de; michelle.moyzes@energiedienst.de;
   c.dworczyk@ioer.de; k.grunewald@ioer.de
OI Grunewald, Karsten/0000-0002-5064-3843; Syrbe,
   Ralf-Uwe/0000-0002-0061-2467; Dworczyk, Claudia/0000-0003-3160-4782
FU Federal Agency for Nature Conservation
FX The team would particularly like to thank Burkhard Schweppe-Kraft and
   Beyhan Ekinci for initiating and supervising the project. The origin of
   the project was Michelle Moyzes' Master's thesis "Development of an
   indicator to assess the ecosystem service 'climate regulation in
   cities'". Our special thanks go to Astrid Ziemann and Uta Moderow from
   the Chair of Meteorology at TU Dresden for their expert supervision of
   the Master's thesis, to Kerstin Ludewig for designing Figure 1 and to
   Derek Henderson for language polishing.
CR Akbari H.S., 1992, COOLING OUR COMMUNIT
   [Anonymous], 2006, Schriftenreihe Dtsch. Rates Landschaftspflege, V78, P5
   [Anonymous], 2021, Forging a climate-resilient Europe - the new EU Strategy on Adaptation to Climate Change
   [Anonymous], 2012, OECD Redefining Urban: A New Way to Measure Metropolitan Areas
   [Anonymous], 2011, Our life insurance
   [Anonymous], 2021, Copernicus Urban Atlas Street Tree Layer 2018 (Vector), Europe, 6-Yearly
   Ballester J, 2023, NAT MED, V29, P1857, DOI 10.1038/s41591-023-02419-z
   Bednar-Friedl B., 2023, Climate Change 2022Impacts, Adaptation and Vulnerability, P1817, DOI DOI 10.1017/9781009325844.015
   BKG-Bundesamt fur Kartographie und Geodasie, Verwaltungsgebiete1:25000,Stand31.12
   BKG-Bundesamt fur Kartographie und Geodasie, Digitales Landbedeckungsmodell fur Deutschland, Stand 2018 Digital Land Cover Model for Germany
   Bohm J., BfN Schriften 444-Urbanes Grun in der doppelten Innenentwicklung | BFN Urban Green in the Dual Internal Development
   Bowler Diana E, 2010, BMC Public Health, V10, P456, DOI 10.1186/1471-2458-10-456
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Bruse D., ENVI-Met A Holistic Microclimate Modelling System
   Chang CR, 2007, LANDSCAPE URBAN PLAN, V80, P386, DOI 10.1016/j.landurbplan.2006.09.005
   Cortinovis C., 2018, One Ecosystem, V3, pe25477, DOI 10.3897/oneeco.3.e25477
   Destatis-Statistisches Bundesamt, Zensusatlas|Kartenanwendung Census: Map Application
   Eichler L., 2020, Wie grn sind deutsche Stdte?Indikatorgesttzte Erfassung des Stadtgrns
   European Commission, 2021, Statistical Office of the European Union. Applying the Degree of Urbanisation: A Methodological Manual to Define Cities, Towns and Rural Areas for International Comparisons
   European Commission (EC), 2019, COM/2019/640 final, DOI [10.1017/CBO9781107415324.004, DOI 10.1017/CBO9781107415324.004]
   Eurostat Guidance Note for Accounting for the Local Climate Regulation Ecosystem Service in the EUForth Draft 2023, 2023, Directorate E: Sectoral and Regional Statistics Unit E-2: Environmental Statistics and Accounts
   Frick A., 2020, Flchennutzungsmonitoring XII. IR Schriften. Band 78
   German Environment Agency-UNFCCC, 2022, Submission Submission under the United Nations Framework Convention on Climate Change and the Kyoto Protocol 2020 National Inventory Report for the German Greenhouse Gas Inventory 1990-2018
   Grunewald K, 2021, ECOSYST SERV, V49, DOI 10.1016/j.ecoser.2021.101273
   Grunewald K., 2017, Nat. Landsch, V92, P485, DOI DOI 10.17433/11.2017.50153517.485-492
   Grunewald Karsten, 2017, International Journal of Biodiversity Science Ecosystem Services & Management, V13, P26, DOI 10.1080/21513732.2017.1283361
   Hecht R, 2008, IEEE T GEOSCI REMOTE, V46, P3832, DOI 10.1109/TGRS.2008.2001771
   hrc-hitzetool.ioer, HeatResilientCity HRC-Tool
   IPCC, 2023, Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, DOI [DOI 10.59327/IPCC/AR6-9789291691647, 10.59327/IPCC/AR6-9789291691647.001]
   Jaganmohan M, 2016, J ENVIRON QUAL, V45, P134, DOI 10.2134/jeq2015.01.0062
   Koc CB, 2018, SOL ENERGY, V166, P486, DOI 10.1016/j.solener.2018.03.008
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Maes J., Mapping and Assessment of Ecosystems and Their Services: An EU Ecosystem Assessment
   Maes J., 2017, Mapping Ecosystem Services, V151, P158, DOI [10.3897/ab.e12837, DOI 10.3897/AB.E12837]
   Marando F, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103564
   monitor.ioer, IOER Monitor der Siedlungs und Freiraumentwicklung
   Natural Capital Project, InVEST User Guide-InVEST Documentation
   OKE TR, 1973, ATMOS ENVIRON, V7, P769, DOI 10.1016/0004-6981(73)90140-6
   Oliveira A, 2021, SCI TOTAL ENVIRON, V790, DOI 10.1016/j.scitotenv.2021.147710
   Potchter O, 2006, INT J CLIMATOL, V26, P1695, DOI 10.1002/joc.1330
   Ronchi S, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102459
   Sachverstandigenrat fur Umweltfragen Wohnungsneubau, 2018, Langfristig Denken-Fur mehr Umweltschutz und Lebensqualitat in den Stadten Long-Term Rethinking about New Housing-For More Environmental Protection and Live Quality in Cities
   Shrestha R, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13070691
   Syrbe RU, 2021, LAND-BASEL, V10, DOI 10.3390/land10040341
   TAHA H, 1991, THEOR APPL CLIMATOL, V44, P123, DOI 10.1007/BF00867999
   Taha H, 1997, ENERG BUILDINGS, V25, P99, DOI 10.1016/S0378-7788(96)00999-1
   TEEB, The Economics of Ecosystems and Biodiversity: Ecological and Economic Foundations
   United Nations, 2016, THE PARIS AGREEMENT
   Veerkamp CJ, 2021, ECOSYST SERV, V52, DOI 10.1016/j.ecoser.2021.101367
   Ward K, 2016, SCI TOTAL ENVIRON, V569, P527, DOI 10.1016/j.scitotenv.2016.06.119
   Wende V.W., 2009, Naturschutz Landschaftsplanung, V41, P145
   Westermann JR, 2021, GAIA, V30, P257, DOI 10.14512/gaia.30.4.9
   Wurm M., 2022, Urban Green Raster Germany 2018.
   Zardo L, 2017, ECOSYST SERV, V26, P225, DOI 10.1016/j.ecoser.2017.06.016
   Zawadzka JE, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104163
NR 55
TC 2
Z9 2
U1 19
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAY
PY 2024
VL 13
IS 5
AR 689
DI 10.3390/land13050689
PG 18
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SD1F8
UT WOS:001232422100001
OA gold
DA 2025-01-10
ER

PT J
AU Ettinger, AK
   Bratman, GN
   Carey, M
   Hebert, R
   Hill, O
   Kett, H
   Levin, P
   Murphy-Williams, M
   Wyse, L
AF Ettinger, Ailene K.
   Bratman, Gregory N.
   Carey, Michael
   Hebert, Ryan
   Hill, Olivia
   Kett, Hannah
   Levin, Phillip
   Murphy-Williams, Maia
   Wyse, Lowell
TI Street trees provide an opportunity to mitigate urban heat and reduce
   risk of high heat exposure
SO SCIENTIFIC REPORTS
LA English
DT Article
ID CLIMATE-CHANGE; PUBLIC-HEALTH; GREEN SPACE; JUSTICE; CITIES
AB Climate change is exacerbating the need for urban greening and the associated environmental and human well-being benefits. Trees can help mitigate urban heat, but more detailed understanding of cooling effects of green infrastructure are needed to guide management decisions and deploy trees as effective and equitable climate adaptation infrastructure. We investigated how urban trees affect summer air temperature along sidewalks within a neighborhood of Tacoma, Washington, USA, and to what extent urban trees reduce risks of high summer temperatures (i.e., the levels regulated by state outdoor heat exposure rules intended to reduce heat-related illnesses). Air temperature varied by 2.57 degrees C, on average, across our study area, and the probability of daytime temperatures exceeding regulated high temperature thresholds was up to five times greater in locations with no canopy cover within 10 m compared to those with 100% cover. Air temperatures decreased linearly with increasing cover within 10 m, suggesting that every unit of added tree cover can help cool the air. Our findings highlight the value of trees in mitigating urban heat, especially given expected warming with climate change. Protecting existing urban trees and increasing tree cover (e.g., by planting street trees), are important actions to enhance climate change resilience of urban areas.
C1 [Ettinger, Ailene K.; Kett, Hannah; Murphy-Williams, Maia] Nat Conservancy Washington, 74 Wall St, Seattle, WA 98121 USA.
   [Bratman, Gregory N.; Hill, Olivia] Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA.
   [Bratman, Gregory N.] Univ Washington, Dept Environm & Occupat Hlth Sci, Seattle, WA 98195 USA.
   [Carey, Michael; Hebert, Ryan] City Tacoma, Urban Forest Program, Tacoma, WA USA.
   [Levin, Phillip] Univ Washington, Sch Marine & Environm Affairs, Seattle, WA USA.
   [Wyse, Lowell] Tacoma Tree Fdn, Tacoma, WA USA.
C3 Nature Conservancy; University of Washington; University of Washington
   Seattle; University of Washington; University of Washington Seattle;
   University of Washington; University of Washington Seattle
RP Ettinger, AK (corresponding author), Nat Conservancy Washington, 74 Wall St, Seattle, WA 98121 USA.
EM ailene.ettinger@tnc.org
RI Bratman, Gregory/JOZ-4454-2023
OI Hill, Olivia/0009-0007-3266-2171
FU Puget Sound Partnership;  [2022-42]
FX We are grateful for funding from Puget Sound Partnership (Agreement
   Number: 2022-42) and to the City of Tacoma for providing information and
   help that supported this research. We thank Tacoma Public Utilities and
   Lumen Technologies for permitting us to install temperature loggers on
   their utility poles.
CR [Anonymous], 2020, About Us
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bratman GN, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax0903
   Buxton J, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-96973-6
   City of Tacoma, 2018, Tacoma Mall Neighborhood Subarea Plan
   Council (PSRC) P. S. R, 2018, Forecast of People and Jobs
   Curriero FC, 2002, AM J EPIDEMIOL, V155, P80, DOI 10.1093/aje/155.1.80
   Debbage N, 2015, COMPUT ENVIRON URBAN, V54, P181, DOI 10.1016/j.compenvurbsys.2015.08.002
   Earth Economics, 2020, Urban Heat Island Analysis
   Flunker JC, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191811583
   Fontana S, 2011, LANDSCAPE URBAN PLAN, V101, P278, DOI 10.1016/j.landurbplan.2011.02.033
   Grineski SE, 2012, APPL GEOGR, V33, P25, DOI 10.1016/j.apgeog.2011.05.013
   Grove M, 2018, ANN AM ASSOC GEOGR, V108, P524, DOI 10.1080/24694452.2017.1365585
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Heidt V, 2008, SPRINGER SER ENV MAN, P84, DOI 10.1007/978-0-387-71425-7_6
   Hesketh M, 2020, AM J IND MED, V63, P300, DOI 10.1002/ajim.23092
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Huang XJ, 2021, BUILD ENVIRON, V205, DOI 10.1016/j.buildenv.2021.108274
   Kondo MC, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15030445
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Li PY, 2021, J ENVIRON MANAGE, V293, DOI 10.1016/j.jenvman.2021.112963
   Lin J, 2021, LANDSCAPE URBAN PLAN, V206, DOI 10.1016/j.landurbplan.2020.103992
   Locke DH, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00022-0
   Manoli G, 2019, NATURE, V573, P55, DOI 10.1038/s41586-019-1512-9
   Masson V, 2020, ANNU REV ENV RESOUR, V45, P411, DOI 10.1146/annurev-environ-012320-083623
   McDonald R., 2016, Nature Conserv, V1, P136
   McDonald RI, 2020, ECOSYSTEMS, V23, P137, DOI 10.1007/s10021-019-00395-5
   McIntyre NE, 2000, ANN ENTOMOL SOC AM, V93, P825, DOI 10.1603/0013-8746(2000)093[0825:EOUAAR]2.0.CO;2
   Mishra V, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/024005
   Mitchell BC, 2014, GEOGR REV, V104, P459, DOI 10.1111/j.1931-0846.2014.12039.x
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Philip S. Y., 2021, EARTH SYST DYNAM DIS, P1, DOI DOI 10.5194/ESD-2021-90
   Popovich N., 2021, N. Y. Times, V11
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Rahman MA, 2020, BUILD ENVIRON, V170, DOI 10.1016/j.buildenv.2019.106606
   Rempel AR, 2022, APPL ENERG, V321, DOI 10.1016/j.apenergy.2022.119323
   Riedman E, 2022, URBAN FOR URBAN GREE, V73, DOI 10.1016/j.ufug.2022.127597
   Sabatini A., How To Set Effective, Evidence-Based Urban Tree Canopy Goals
   Schatz J, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/9/094024
   Schell CJ, 2020, SCIENCE, V369, P1446, DOI 10.1126/science.aay4497
   Schramm PJ, 2021, MMWR-MORBID MORTAL W, V70, P1020, DOI 10.15585/mmwr.mm7029e1
   Seto KC, 2017, P NATL ACAD SCI USA, V114, P8935, DOI 10.1073/pnas.1606037114
   Sharifi A, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141642
   Sousa-Silva R, 2023, LANDSCAPE URBAN PLAN, V231, DOI 10.1016/j.landurbplan.2022.104649
   Spector JT, 2023, AM J IND MED, V66, P623, DOI 10.1002/ajim.23506
   STEADMAN RG, 1984, J CLIM APPL METEOROL, V23, P1674, DOI 10.1175/1520-0450(1984)023<1674:AUSOAT>2.0.CO;2
   Uejio CK, 2011, HEALTH PLACE, V17, P498, DOI 10.1016/j.healthplace.2010.12.005
   Vaughn BK, 2008, J EDUC MEAS, V45, P94, DOI 10.1111/j.1745-3984.2007.00053_2.x
   Wang CH, 2018, EARTHS FUTURE, V6, P1066, DOI 10.1029/2018EF000891
   Wang XJ, 2021, SCI TOTAL ENVIRON, V770, DOI 10.1016/j.scitotenv.2021.145211
   White RH, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36289-3
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wood E, 2018, FRONT PSYCHOL, V9, DOI 10.3389/fpsyg.2018.02320
   Ziter CD, 2019, P NATL ACAD SCI USA, V116, P7575, DOI 10.1073/pnas.1817561116
NR 54
TC 5
Z9 5
U1 8
U2 31
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD FEB 13
PY 2024
VL 14
IS 1
AR 3266
DI 10.1038/s41598-024-51921-y
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA HU9S9
UT WOS:001162143900022
PM 38351140
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Angst, JK
   Kupferschmid, AD
AF Angst, Janika Kim
   Kupferschmid, Andrea Doris
TI Assessing Browsing Impact in Beech Forests: The Importance of Tree
   Responses after Browsing
SO DIVERSITY-BASEL
LA English
DT Article
DE Abies alba; growth rate; herbivory; tree regeneration; ungulate browsing
ID DEER CAPREOLUS-CAPREOLUS; NORTH TEMPERATE FORESTS; ABIES-ALBA SAPLINGS;
   ROE DEER; REGENERATION DYNAMICS; GROWTH-RESPONSE; DAMAGE; SEEDLINGS;
   LIGHT; DEFOLIATION
AB Browsing by ungulates can affect the development of a forest stand due to selective browsing and shifts in the growth ranking between tree species. Assessing browsing impact in an objective way is difficult in patchily distributed beech forests. In systematically arranged plots near Kirchberg, Switzerland, the height increment of the two saplings nearest to the plot center (k-tree method) was measured for each height class and tree species, and the within-tree browsing intensity and damage frequency were assessed. In total, 21 tree species were found. Browsing was particularly frequent in climate-adapted species. Winter browsing was more frequent than summer browsing, which was also true for deciduous species, and it significantly reduced height growth. Former damage along the main stem further reduced upgrowth. Browsing shifted the height increment ratio in favor of Fagus sylvatica. Many winter-browsed saplings of Abies alba, Fagus sylvatica, Acer pseudoplatanus, Fraxinus excelsior and Prunus avium had no new leader shoot by the end of the next growing season, i.e., browsing had a long-lasting impact. For estimating browsing impact, it is thus important to assess delays in the response after browsing. Foresters could easily apply the k-tree method in autumn for effective assessments of browsing impact.
C1 [Angst, Janika Kim; Kupferschmid, Andrea Doris] Swiss Fed Res Inst WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; Swiss Federal Institute
   for Forest, Snow & Landscape Research
RP Kupferschmid, AD (corresponding author), Swiss Fed Res Inst WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
EM andrea.kupferschmid@wsl.ch
OI Kupferschmid, Andrea Doris/0000-0003-2113-9792
CR [Anonymous], 1993, Geholzkunde: einfuhrung in die Dendrologie Stuttgart
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bayerisches Staatsministerium fur Ernahrung Landwirtschaft und Forsten, 2020, ANW ERST FORSTL GUT, P35
   BerwertLopes R, 1996, FOREST ECOL MANAG, V88, P87, DOI 10.1016/S0378-1127(96)03813-3
   Boulanger V, 2009, FOREST ECOL MANAG, V258, P1397, DOI 10.1016/j.foreco.2009.06.055
   Brazaitis G, 2014, EUR J FOREST RES, V133, P857, DOI 10.1007/s10342-014-0802-x
   Brooks ME, 2017, R J, V9, P378, DOI 10.32614/RJ-2017-066
   Bryant DM, 2004, PLANT ECOL, V175, P193, DOI 10.1007/s11258-005-0013-0
   BRZEZIECKI B, 1994, FOREST ECOL MANAG, V69, P167, DOI 10.1016/0378-1127(94)90227-5
   Buhler U., 2005, P FORUM F R WISSEN 2, P59
   Butler L., 2016, WALDSTANDORTE ST GAL, P211
   Cermak P., 2009, Journal of Forest Science (Prague), V55, P23, DOI 10.17221/73/2008-JFS
   Chianucci F, 2022, bioRxiv, DOI [10.1101/2022.04.01.486683, 10.1101/2022.04.01.486683, DOI 10.1101/2022.04.01.486683]
   Churski M, 2017, NEW PHYTOL, V214, P158, DOI 10.1111/nph.14345
   Cornelis J, 1999, J ZOOL, V248, P195, DOI 10.1111/j.1469-7998.1999.tb01196.x
   Didion M, 2011, CLIMATIC CHANGE, V109, P647, DOI 10.1007/s10584-011-0054-4
   Dinca L, 2022, DIVERSITY-BASEL, V14, DOI 10.3390/d14070547
   Dobrowolska D., 2008, Journal of Forest Science (Prague), V54, P398, DOI 10.17221/29/2008-JFS
   Duggelin C., 2020, Schweizerisches Landesforstinventar: Anleitung fur die Feldaufnahmen der funften Erhebung 2018-2026
   DUPRE S, 1986, ANN SCI FOREST, V43, P85, DOI 10.1051/forest:19860107
   EIBERLE K, 1985, Waldhygiene, V16, P95
   Eiberle K., 1985, Schweizerische Zeitschrift fur Forstwesen, V136, P399
   EIBERLE K, 1989, Z JAGDWISS, V35, P235, DOI 10.1007/BF02241661
   ERICSSON A, 1980, J APPL ECOL, V17, P747, DOI 10.2307/2402653
   Fehr M., 2019, Schweizerische Zeitschrift fur Forstwesen, V170, P135, DOI 10.3188/szf.2019.0135
   Felton AM, 2022, FOREST ECOL MANAG, V513, DOI 10.1016/j.foreco.2022.120187
   Frank A, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2580
   Frerker K, 2013, FOREST ECOL MANAG, V291, P55, DOI 10.1016/j.foreco.2012.11.041
   GILL RMA, 1992, FORESTRY, V65, P145, DOI 10.1093/forestry/65.2.145
   GILL RMA, 1992, FORESTRY, V65, P363, DOI 10.1093/forestry/65.4.363-a
   Gonzalez Ronquillo M., 2022, Animal Nutrition Annual Volume 2023
   Götmark FG, 2005, SCAND J FOREST RES, V20, P223, DOI 10.1080/02827580510008383
   HONKANEN T, 1994, FUNCT ECOL, V8, P631, DOI 10.2307/2389926
   Hothorn T, 2008, BIOMETRICAL J, V50, P346, DOI 10.1002/bimj.200810425
   Huber M., 2018, CURR TRENDS FOREST R, V10, pCTFR, DOI [10.29011/2638-0013.10002, DOI 10.29011/2638-0013.10002]
   Keller M., 2013, SCHWEIZERISCHES LAND, P214
   Kleinn C, 2009, ALLG FORST JAGDZTG, V180, P228
   Kleinn C, 2006, FOREST ECOL MANAG, V237, P522, DOI 10.1016/j.foreco.2006.09.072
   Krueger LM, 2009, CAN J FOREST RES, V39, P2460, DOI 10.1139/X09-155
   Kuceravá B, 2013, DENDROBIOLOGY, V69, P49, DOI 10.12657/denbio.069.006
   Kullberg Y, 2001, SCAND J FOREST RES, V16, P371, DOI 10.1080/02827580152496768
   Kupferschmid, 2017, UNGULATES EVOLUTION, P1
   Kupferschmid A.D., 2020, SCHWEIZ Z FORSTWES, V171, P79, DOI [10.3188/szf.2020.0079, DOI 10.3188/SZF.2020.0079]
   Kupferschmid AD, 2008, PLANT ECOL, V198, P121, DOI 10.1007/s11258-007-9390-x
   Kupferschmid Andrea D., 2020, Schweizerische Zeitschrift fur Forstwesen, V171, P69, DOI 10.3188/szf.2020.0069
   Kupferschmid AD, 2019, FOREST ECOL MANAG, V446, P331, DOI 10.1016/j.foreco.2019.05.009
   Kupferschmid AD, 2015, EUR J FOREST RES, V134, P75, DOI 10.1007/s10342-014-0834-2
   Kupferschmid AD, 2014, FOREST ECOL MANAG, V318, P359, DOI 10.1016/j.foreco.2014.01.027
   Kupferschmid AD, 2013, FOREST ECOL MANAG, V310, P393, DOI 10.1016/j.foreco.2013.08.048
   Kupferschmid AD, 2019, ECOL EVOL, V9, P3335, DOI 10.1002/ece3.4955
   Kupferschmid AD, 2018, FOREST ECOL MANAG, V429, P317, DOI 10.1016/j.foreco.2018.06.046
   Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
   Magnussen S, 2012, EUR J FOREST RES, V131, P1513, DOI 10.1007/s10342-012-0619-4
   Meteoblue, 2023, SIM HIST KLIM WETT K
   METZGER F T, 1977, U S Forest Service Research Paper NC, V140, P1
   Millard P, 2001, FUNCT ECOL, V15, P535, DOI 10.1046/j.0269-8463.2001.00541.x
   Moser B, 2006, FOREST ECOL MANAG, V226, P248, DOI 10.1016/j.foreco.2006.01.045
   Muller F., 2004, ERFASSUNG BEURTEILUN, V17, P181
   Nopp-Mayr U, 2023, DIVERSITY-BASEL, V15, DOI 10.3390/d15020165
   Olesen CR, 2008, FOREST ECOL MANAG, V255, P3962, DOI 10.1016/j.foreco.2008.03.050
   PRICE PW, 1991, OIKOS, V62, P244, DOI 10.2307/3545270
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Reimoser F, 1996, FOREST ECOL MANAG, V88, P107, DOI 10.1016/S0378-1127(96)03816-9
   Reimoser F, 1997, ALLG FORST JAGDZTG, V168, P214
   Reimoser F, 1999, FOREST ECOL MANAG, V120, P47, DOI 10.1016/S0378-1127(98)00542-8
   Reimoser F., 2014, ERFASSUNG BEURTEILUN, P177
   Reyes G, 2003, FOREST ECOL MANAG, V186, P349, DOI 10.1016/S0378-1127(03)00303-7
   Robakowski P, 2004, FOREST ECOL MANAG, V201, P211, DOI 10.1016/j.foreco.2004.06.029
   ROSENTHAL JP, 1994, TRENDS ECOL EVOL, V9, P145, DOI 10.1016/0169-5347(94)90180-5
   Schulze ED, 2014, ANN FOR RES, V57, P267
   Stein W.I., 1992, Reforestation practices in southwestern Oregon and northern California, P346
   Tixier H, 1997, J ZOOL, V242, P229, DOI 10.1111/j.1469-7998.1997.tb05799.x
   Tremblay JP, 2007, J APPL ECOL, V44, P552, DOI 10.1111/j.1365-2664.2007.01290.x
   Unkule M, 2022, ANN FOREST SCI, V79, DOI 10.1186/s13595-022-01126-y
   Vera F. W. M., 2000, Grazing ecology and forest history, P287, DOI 10.1079/9780851994420.0287
   Wagner S, 2010, FOREST ECOL MANAG, V259, P2172, DOI 10.1016/j.foreco.2010.02.029
   Weber R, 2018, NEW PHYTOL, V218, P107, DOI 10.1111/nph.14987
NR 77
TC 7
Z9 8
U1 0
U2 16
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1424-2818
J9 DIVERSITY-BASEL
JI Diversity-Basel
PD FEB
PY 2023
VL 15
IS 2
AR 262
DI 10.3390/d15020262
PG 22
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 9H3GP
UT WOS:000938723800001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Quagliarotti, DAL
AF Quagliarotti, Desiree A. L.
TI The Water-Energy-Food Nexus in the Mediterranean Region in a scenario of
   polycrisis
SO TEMA-JOURNAL OF LAND USE MOBILITY AND ENVIRONMENT
LA English
DT Article
DE Mediterranean; Climate change; Ukraine war; WEF nexus
ID CLIMATE ADAPTATION; LAND-USE
AB Multiple global crises, including climate change, the COVID-19 pandemic, and Russia's war on Ukraine, have recently linked together in ways that are significant in scope, devastating in effect, but still poorly understood, triggering what experts call a real polycrisis. In particular, climate change and the Ukraine conflict, acting together, are increasingly putting at risk the availability and access to fundamental resources to human survival and well-being: water, energy and food. The Mediterranean region could be considered both a water, energy and food (WEF) nexus and a climate change 'hotspot'. Since Russia and Ukraine are central players in global commodity markets, the ongoing war and accompanying sanctions are dramatically unsettling energy and food markets, with ripple effects likely to extend well into 2024. The new global systemic risks call for a paradigm shift by adopting measures to reduce exposure and strengthen resilience turning the conventional WEF nexus into a virtuous circle. To face these challenges, three main actions are identified: mainstreaming climate change into the WEF nexus; decouple water, energy and food production from fossil fuel; develop sustainable WEF intra-regional and regional cooperation/integration models based on the principle of comparative advantages. To illustrate these mechanisms the cascading impacts of interactions between the Ukraine-Russia war and climate change on the WEF nexus in the Mediterranean countries are illustrate.
C1 [Quagliarotti, Desiree A. L.] CNR, Inst Studies Mediterranean CNR ISMed, Naples, Italy.
C3 Consiglio Nazionale delle Ricerche (CNR)
RP Quagliarotti, DAL (corresponding author), CNR, Inst Studies Mediterranean CNR ISMed, Naples, Italy.
EM desiree.quagliarotti@ismed.cnr.it
RI Quagliarotti, Desirée/IVH-3070-2023
CR Al-Zubari W.K., 2016, The Water-Energy-Food Nexus in the Arab Region. Understanding the Nexus and Associated Risks. Policy Brief of the Deutsche Gesellschaft fur Internationale Zusammenarbeit (GIZ)
   Allan JA, 1998, GROUND WATER, V36, P545, DOI 10.1111/j.1745-6584.1998.tb02825.x
   [Anonymous], 2014, The Water-Energy-Food Nexus. A new approach in support of food security and sustainable agriculture (1)
   [Anonymous], 2015, Renewable Energy in the Water, P1
   Borgomeo E., 2018, The Water-Energy-Food Nexus in the Middle East and North Africa Scenarios for a Sustainable Future
   Burnett K, 2018, GLOB ENVIRON STUD, P261, DOI 10.1007/978-981-10-7383-0_18
   European Parliament, 2023, Rural tourism. Briefing
   FAO Aquastat, 2023, Global information system on water and agriculture
   Giordano G., 2020, Ensuring Water Security in the Middle East: Policy Implications. EuroMesco Joint Policy Study
   Guida C, 2022, TEMA, V15, P543, DOI 10.6092/1970-9870/9410
   Halalsheh M., 2018, The Water Energy-Food Nexus in the Arab Region. Nexus Technology and Innovation Case Studies. Policy Brief 6
   Harwood SA, 2018, ENVIRON SCI POLICY, V83, P79, DOI 10.1016/j.envsci.2018.01.020
   Homer-Dixon T, 2015, ECOL SOC, V20, DOI 10.5751/ES-07681-200306
   Howells M, 2013, NAT CLIM CHANGE, V3, P621, DOI [10.1038/NCLIMATE1789, 10.1038/nclimate1789]
   IRENA, 2016, Renewable energy in the Arab region: Overview of developments
   IUCN & ROWA, 2019, Nexus Comprehensive Methodological Framework: The MENA Region Initiative as a Model of Nexus Approach and Renewable Energy Technologies (MINARET)
   Katz D., 2017, Water Energy Nexus. A Pre-Feasibility Study for Mid-East Water-Renewable Energy Exchanges
   Kennou H., 2018, IEMed Policy Study, V4
   Laborde D., 2022, Werking Paper n. 2
   Lawrence M., 2023, Global polycrisis: The causal mechanisms of crisis entanglement, DOI [10.2139/ssrn.4483556, DOI 10.2139/SSRN.4483556]
   Lawrence M. S., 2022, 20224 CASC I
   Markantonis V, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00084
   Mecklin J., 2023, Science and Security Board Bulletin of the Atomic Scientists
   Medinilla A., 2021, Briefing Note No. 135
   Mekonnen M.M, 2011, Research Report Series, V50, DOI DOI 10.1016/j.agwat.2009.03.023
   Mohtar RH, 2022, FRONT SUSTAIN FOOD S, V6, DOI 10.3389/fsufs.2022.820305
   Quagliarotti D.A.L., 2023, EuroMeSCo Policy Study, V30
   Quagliarotti D.A.L., 2018, Mediterranean, the Sea that Unites. New Prospects for the Agri-Food System
   Saab N., 2017, Arab Environment in 10 Years
   WFP FAO, 2022, HUNGER HOTSPOTS FAO
   World Economic Forum (WEF), 2023, Global risks report: how organizations should respond
   Zucaro F, 2018, TEMA, V11, P7, DOI 10.6092/1970-9870/5343
NR 32
TC 2
Z9 2
U1 0
U2 0
PU UNIV STUDI NAPOLI FEDERICO II, DIPT PIANIFICAZIONE & SCIENZA TERRITORIO
PI NAPLES
PA PIAZZALE TECCHIO 80, NAPLES, 80125, ITALY
SN 1970-9889
EI 1970-9870
J9 TEMA
JI TeMA
PY 2023
SI SI
DI 10.6092/1970-9870/10308
PG 20
WC Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Urban Studies
GA WE1W7
UT WOS:001253111600006
DA 2025-01-10
ER

PT J
AU Rao, YH
   Zhang, JJ
AF Rao, Yongheng
   Zhang, Jianjun
TI Revealing the Land Use Volatility Process in Northern Southeast Asia
SO LAND
LA English
DT Article
DE land use change; spillover effects; agglomeration effect; GEE; northern
   Southeast Asia
ID CLIMATE ADAPTATION; SPECTRAL INDEXES; COVER CHANGE; MANAGEMENT;
   SEVERITY; DYNAMICS; DRIVERS
AB Frequent land use change has generally been considered as a consequence of human activities. Here, we revealed the land use volatility process in northern Southeast Asia (including parts of Myanmar, Thailand, Laos, Vietnam, and China) from 2000 to 2018 with LandTrendr in the Google Earth Engine (GEE) platform based on the Normalized Burning Index (NBR). The result showed that land use volatility with similar degrees had very obvious aggregation characteristics in time and space in the study area, and the time for the occurrence of land use volatility in adjacent areas was often relatively close. This trend will become more obvious with the intensity of land use volatility. At the same time, land use volatility also has obvious spillover effects, and strong land use volatility will drive changes in the surrounding land. If combined with the land use/cover types, which are closely related to human activities that could have more severe land use volatility, and with the increase of the volatility intensity, the proportion of the land use type with strong land use volatility will gradually increase. Revealing the land use volatility process has a possibility to deepen the understanding of land use change and to help formulate land use policy.
C1 [Rao, Yongheng] Sichuan Univ, Sch Publ Adm, Chengdu 610065, Peoples R China.
   [Zhang, Jianjun] China Univ Geosci Beijing, Sch Land Sci & Technol, Beijing 100083, Peoples R China.
   [Zhang, Jianjun] Minist Nat Resources, Key Lab Land Consolidat & Rehabil, Beijing 100083, Peoples R China.
C3 Sichuan University; China University of Geosciences; Ministry of Natural
   Resources of the People's Republic of China
RP Zhang, JJ (corresponding author), China Univ Geosci Beijing, Sch Land Sci & Technol, Beijing 100083, Peoples R China.; Zhang, JJ (corresponding author), Minist Nat Resources, Key Lab Land Consolidat & Rehabil, Beijing 100083, Peoples R China.
EM raoyongheng@126.com; zhangjianjun_bj@126.com
OI Zhang, Jianjun/0000-0001-9357-6778
FU National Natural Science Foundation of China [42101268]
FX This research was funded by National Natural Science Foundation of
   China, grant number 42101268.
CR Bai Y, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05306-1
   Barnes AD, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6351
   Boulton CA, 2022, NAT CLIM CHANGE, V12, P271, DOI 10.1038/s41558-022-01287-8
   Bryan BA, 2018, NATURE, V559, P193, DOI 10.1038/s41586-018-0280-2
   Cao FQ, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-59503-4
   Clough Y, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13137
   Curtis PG, 2018, SCIENCE, V361, P1108, DOI 10.1126/science.aau3445
   Davis KF, 2020, NAT GEOSCI, V13, P482, DOI 10.1038/s41561-020-0592-3
   de Baan L, 2013, INT J LIFE CYCLE ASS, V18, P1216, DOI 10.1007/s11367-012-0412-0
   Phan DC, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-89034-5
   Escuin S, 2008, INT J REMOTE SENS, V29, P1053, DOI 10.1080/01431160701281072
   Estoque RC, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09646-4
   Osgouei PE, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-11396-1
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Fuldauer LI, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31202-w
   Gao P, 2015, SCI REP-UK, V5, DOI 10.1038/srep11038
   Huang HB, 2017, REMOTE SENS ENVIRON, V202, P166, DOI 10.1016/j.rse.2017.02.021
   Lozano FJ, 2007, REMOTE SENS ENVIRON, V107, P533, DOI 10.1016/j.rse.2006.10.001
   Jepsen MR, 2015, LAND USE POLICY, V49, P53, DOI 10.1016/j.landusepol.2015.07.003
   Jung M, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13452-3
   Kennedy RE, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10050691
   Lambin EF, 2001, GLOBAL ENVIRON CHANG, V11, P261, DOI [10.1016/S0959-3780(01)00007-3, 10.1146/annurev.energy.28.050302.105459]
   Lambin EF, 2003, ANNU REV ENV RESOUR, V28, P205, DOI 10.1146/annurev.energy.28.050302.105459
   Li P, 2015, REMOTE SENS LETT, V6, P49, DOI 10.1080/2150704X.2014.996678
   Li Y, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-29601-0
   Meyfroid P, 2018, GLOBAL ENVIRON CHANG, V53, P52, DOI 10.1016/j.gloenvcha.2018.08.006
   Meyfroidt P, 2011, ANNU REV ENV RESOUR, V36, P343, DOI 10.1146/annurev-environ-090710-143732
   Obidzinski K, 2012, ECOL SOC, V17, DOI 10.5751/ES-04775-170125
   Ordway EM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-07915-2
   Plieninger T, 2016, LAND USE POLICY, V57, P204, DOI 10.1016/j.landusepol.2016.04.040
   Popp A, 2014, NAT CLIM CHANGE, V4, P1095, DOI 10.1038/NCLIMATE2444
   Pütz S, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6037
   Rao YH, 2021, J ENVIRON MANAGE, V278, DOI 10.1016/j.jenvman.2020.111536
   Rerkasem K, 2009, HUM ECOL, V37, P347, DOI 10.1007/s10745-009-9250-5
   Grau HR, 2008, ECOL SOC, V13
   Seneviratne SI, 2018, NAT GEOSCI, V11, P88, DOI 10.1038/s41561-017-0057-5
   Sha ZY, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-021-00333-1
   Szpakowska B, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-11115-w
   Trenberth KE, 2004, NATURE, V427, P213, DOI 10.1038/427213a
   Ustaoglu E., 2019, HDB RES DIGI RES MET, P156
   van Vliet J, 2015, LANDSCAPE URBAN PLAN, V133, P24, DOI 10.1016/j.landurbplan.2014.09.001
   Veraverbeke S, 2011, INT J REMOTE SENS, V32, P3521, DOI 10.1080/01431161003752430
   Wilcove DS, 2013, TRENDS ECOL EVOL, V28, P531, DOI 10.1016/j.tree.2013.04.005
   Winkler K, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22702-2
   Zeng YL, 2022, NAT REV EARTH ENV, V3, P477, DOI 10.1038/s43017-022-00298-5
NR 45
TC 2
Z9 2
U1 4
U2 31
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUL
PY 2022
VL 11
IS 7
AR 1092
DI 10.3390/land11071092
PG 14
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 3H4BE
UT WOS:000831981400001
OA gold
DA 2025-01-10
ER

PT J
AU van Boheemen, LA
   Hodgins, KA
AF van Boheemen, Lotte A.
   Hodgins, Kathryn A.
TI Rapid repeatable phenotypic and genomic adaptation following multiple
   introductions
SO MOLECULAR ECOLOGY
LA English
DT Article
DE Ambrosia artemisiifolia; climate adaptation; genotype-environment
   associations; genotype-phenotype associations; multiple introductions;
   rapid repeated adaptation
ID AMBROSIA-ARTEMISIIFOLIA POPULATIONS; PARALLEL GENETIC EVOLUTION; LOCAL
   ADAPTATION; COMMON RAGWEED; LINKAGE DISEQUILIBRIUM; DEMOGRAPHIC HISTORY;
   ADAPTIVE EVOLUTION; RANGE EXPANSION; FLOWERING TIME; SOFT SWEEPS
AB Uncovering the genomic basis of repeated adaption can provide important insights into the constraints and biases that limit the diversity of genetic responses. Demographic processes such as admixture or bottlenecks affect genetic variation underlying traits experiencing selection. The impact of these processes on the genetic basis of adaptation remains, however, largely unexamined empirically. We here test repeatability in phenotypes and genotypes along parallel climatic clines within the native North American and introduced European and Australian Ambrosia artemisiifolia ranges. To do this, we combined multiple lines of evidence from phenotype-environment associations, F-ST-like outlier tests, genotype-environment associations and genotype-phenotype associations. We used 853 individuals grown in common garden from 84 sampling locations, targeting 19 phenotypes, >83 k SNPs and 22 environmental variables. We found that 17%-26% of loci with adaptive signatures were repeated among ranges, despite alternative demographic histories shaping genetic variation and genetic associations. Our results suggest major adaptive changes can occur on short timescales, with seemingly minimum impacts due to demographic changes linked to introduction. These patterns reveal some predictability of evolutionary change during range expansion, key in a world facing ongoing climate change, and rapid invasive spread.
C1 [van Boheemen, Lotte A.; Hodgins, Kathryn A.] Monash Univ, Sch Biol Sci, Clayton, Vic, Australia.
C3 Monash University
RP van Boheemen, LA (corresponding author), Monash Univ, Sch Biol Sci, Clayton, Vic, Australia.
EM la.vanboheemen@gmail.com
RI van Boheemen, Lotte Anna/C-5382-2017
OI van Boheemen, Lotte Anna/0000-0001-9199-7704; Hodgins,
   Kathryn/0000-0003-2795-5213
FU Monash University Dean's International Postgraduate Research Scholarship
   [DP180102531]; Monash University Startup Grant; ARC grant [DP18010253]
FX Monash University Dean's International Postgraduate Research
   Scholarship, Grant/Award Number: DP180102531; Monash University Startup
   Grant; ARC grant, Grant/Award Number: DP18010253
CR Arendt J, 2008, TRENDS ECOL EVOL, V23, P26, DOI 10.1016/j.tree.2007.09.011
   Bailey SF, 2017, BIOESSAYS, V39, DOI 10.1002/bies.201600176
   Bailey SF, 2015, MOL BIOL EVOL, V32, P1436, DOI 10.1093/molbev/msv033
   Barrett RDH, 2008, TRENDS ECOL EVOL, V23, P38, DOI 10.1016/j.tree.2007.09.008
   Bassham S, 2018, GENETICS, V209, P921, DOI 10.1534/genetics.117.300610
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Blackburn TM, 2015, MOL ECOL, V24, P1942, DOI 10.1111/mec.13075
   Bock DG, 2015, MOL ECOL, V24, P2277, DOI 10.1111/mec.13032
   Bollback JP, 2009, GENETICS, V181, P225, DOI 10.1534/genetics.107.085225
   Chauvel B, 2006, J BIOGEOGR, V33, P665, DOI 10.1111/j.1365-2699.2005.01401.x
   Chevin LM, 2008, GENETICS, V180, P1645, DOI 10.1534/genetics.108.093351
   Chevin LM, 2010, EVOLUTION, V64, P3213, DOI 10.1111/j.1558-5646.2010.01058.x
   Christin PA, 2010, TRENDS GENET, V26, P400, DOI 10.1016/j.tig.2010.06.005
   Chun YJ, 2011, MOL ECOL, V20, P1378, DOI 10.1111/j.1365-294X.2011.05013.x
   Chun YJ, 2010, NEW PHYTOL, V185, P1100, DOI 10.1111/j.1469-8137.2009.03129.x
   Colautti RI, 2015, MOL ECOL, V24, P1999, DOI 10.1111/mec.13162
   Colautti RI, 2013, SCIENCE, V342, P364, DOI 10.1126/science.1242121
   Connallon T, 2018, ANN NY ACAD SCI, V1422, P65, DOI 10.1111/nyas.13536
   Conte GL, 2015, GENETICS, V201, P1189, DOI 10.1534/genetics.115.182550
   Conte GL, 2012, P ROY SOC B-BIOL SCI, V279, P5039, DOI 10.1098/rspb.2012.2146
   Cristescu ME, 2015, MOL ECOL, V24, P2212, DOI 10.1111/mec.13117
   De Mita S, 2013, MOL ECOL, V22, P1383, DOI 10.1111/mec.12182
   De Rosario-Martinez Helios, 2015, PACKAGEPHIA
   Dlugosch KM, 2008, MOL ECOL, V17, P431, DOI 10.1111/j.1365-294X.2007.03538.x
   Dlugosch KM, 2015, MOL ECOL, V24, P2095, DOI 10.1111/mec.13183
   Elmer KR, 2011, TRENDS ECOL EVOL, V26, P298, DOI 10.1016/j.tree.2011.02.008
   Estoup A, 2016, ANNU REV ECOL EVOL S, V47, P51, DOI 10.1146/annurev-ecolsys-121415-032116
   Estoup A, 2010, MOL ECOL, V19, P4113, DOI 10.1111/j.1365-294X.2010.04773.x
   Excoffier L, 2009, HEREDITY, V103, P285, DOI 10.1038/hdy.2009.74
   Facon B, 2006, TRENDS ECOL EVOL, V21, P130, DOI 10.1016/j.tree.2005.10.012
   Facon B, 2011, CURR BIOL, V21, P424, DOI 10.1016/j.cub.2011.01.068
   Frankham R, 1995, ANNU REV GENET, V29, P305, DOI 10.1146/annurev.ge.29.120195.001513
   Gaudeul M, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017658
   Genton BJ, 2005, MOL ECOL, V14, P4275, DOI 10.1111/j.1365-294X.2005.02750.x
   Glémin S, 2003, EVOLUTION, V57, P2678
   Gould BA, 2017, MOL ECOL, V26, P92, DOI 10.1111/mec.13643
   Günther T, 2013, GENETICS, V195, P205, DOI 10.1534/genetics.113.152462
   Hamilton JA, 2015, MOL ECOL, V24, P2253, DOI 10.1111/mec.13099
   Hancock AM, 2010, PHILOS T R SOC B, V365, P2459, DOI 10.1098/rstb.2010.0032
   Handley LJL, 2011, BIOCONTROL, V56, P409, DOI 10.1007/s10526-011-9386-2
   Hermisson J, 2005, GENETICS, V169, P2335, DOI 10.1534/genetics.104.036947
   Hoban S, 2016, AM NAT, V188, P379, DOI 10.1086/688018
   Hodgins KA, 2011, J EVOLUTION BIOL, V24, P2731, DOI 10.1111/j.1420-9101.2011.02404.x
   Hodgins KA, 2019, NEW PHYTOL, V224, P1201, DOI 10.1111/nph.16186
   Hodgins KA, 2018, ANN PLANT REV ONLINE, V1, P459, DOI 10.1002/9781119312994.apr0643
   Holliday JA, 2016, NEW PHYTOL, V209, P1240, DOI 10.1111/nph.13643
   Kim Y, 2004, GENETICS, V167, P1513, DOI 10.1534/genetics.103.025387
   Klopfstein S, 2006, MOL BIOL EVOL, V23, P482, DOI 10.1093/molbev/msj057
   Kremer A, 2012, HEREDITY, V108, P375, DOI 10.1038/hdy.2011.81
   Lässig M, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0077
   Le Corre V, 2012, MOL ECOL, V21, P1548, DOI 10.1111/j.1365-294X.2012.05479.x
   Lee CE, 2002, TRENDS ECOL EVOL, V17, P386, DOI 10.1016/S0169-5347(02)02554-5
   Lee KM, 2017, GENETICS, V207, P1591, DOI 10.1534/genetics.117.300417
   Lee YW, 2014, AOB PLANTS, V6, DOI 10.1093/aobpla/plu004
   Leiblein-Wild MC, 2014, BIOL INVASIONS, V16, P2003, DOI 10.1007/s10530-014-0644-y
   Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
   Li XM, 2015, OECOLOGIA, V177, P669, DOI 10.1007/s00442-014-3127-z
   Lotterhos KE, 2018, GENOME BIOL, V19, DOI 10.1186/s13059-018-1545-7
   Lotterhos KE, 2015, MOL ECOL, V24, P1031, DOI 10.1111/mec.13100
   Lotterhos KE, 2014, MOL ECOL, V23, P2178, DOI 10.1111/mec.12725
   MacPherson A, 2017, J EVOLUTION BIOL, V30, P326, DOI 10.1111/jeb.13006
   Marchini GL, 2018, J EVOLUTION BIOL, V31, P1689, DOI 10.1111/jeb.13369
   Marchini GL, 2016, BIOL INVASIONS, V18, P183, DOI 10.1007/s10530-015-1001-5
   Maron JL, 2004, ECOL MONOGR, V74, P261, DOI 10.1890/03-4027
   Marques DA, 2018, NAT ECOL EVOL, V2, P1128, DOI 10.1038/s41559-018-0581-8
   Martin A, 2013, EVOLUTION, V67, P1235, DOI 10.1111/evo.12081
   MCGOEY BV, 2018, INTRO POPULATIONS RA
   MCGOEY BV, 2019, PARALLEL CLINES NATI
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Messer PW, 2013, TRENDS ECOL EVOL, V28, P659, DOI 10.1016/j.tree.2013.08.003
   Montague JL, 2008, J EVOLUTION BIOL, V21, P234, DOI 10.1111/j.1420-9101.2007.01456.x
   Neiman M, 2006, HEREDITY, V96, P111, DOI 10.1038/sj.hdy.6800772
   Ortiz-Barrientos D, 2016, TRENDS ECOL EVOL, V31, P226, DOI 10.1016/j.tree.2015.12.016
   Oswalt Matthew L, 2008, Allergy Asthma Clin Immunol, V4, P130, DOI 10.1186/1710-1492-4-3-130
   Palmer B, 2012, BIOLOGICAL CONTROL OF WEEDS IN AUSTRALIA, P52
   Prentis PJ, 2008, TRENDS PLANT SCI, V13, P288, DOI 10.1016/j.tplants.2008.03.004
   Pritchard JK, 2010, CURR BIOL, V20, pR208, DOI 10.1016/j.cub.2009.11.055
   Przeworski M, 2002, GENETICS, V160, P1179
   Purcell S, 2007, AM J HUM GENET, V81, P559, DOI 10.1086/519795
   R Core Team, 2019, R LANG ENV STAT COMP
   Rausher MD, 2015, EVOLUTION, V69, P1655, DOI 10.1111/evo.12687
   Remington DL, 2001, P NATL ACAD SCI USA, V98, P11479, DOI 10.1073/pnas.201394398
   Renaut S, 2014, MOL ECOL, V23, P311, DOI 10.1111/mec.12600
   Rius M, 2014, TRENDS ECOL EVOL, V29, P233, DOI 10.1016/j.tree.2014.02.003
   Rockman MV, 2012, EVOLUTION, V66, P1, DOI 10.1111/j.1558-5646.2011.01486.x
   Roman J, 2007, TRENDS ECOL EVOL, V22, P454, DOI 10.1016/j.tree.2007.07.002
   Rougemont Q, 2017, MOL ECOL, V26, P142, DOI 10.1111/mec.13664
   Smith JM, 2007, GENET RES, V89, P391, DOI [10.1017/S0016672308009579, 10.1017/S0016672300014634]
   Smith SD, 2011, MOL BIOL EVOL, V28, P2799, DOI 10.1093/molbev/msr109
   Sork VL, 2013, TREE GENET GENOMES, V9, P901, DOI 10.1007/s11295-013-0596-x
   Stern DL, 2008, EVOLUTION, V62, P2155, DOI 10.1111/j.1558-5646.2008.00450.x
   Stern DL, 2009, SCIENCE, V323, P746, DOI 10.1126/science.1158997
   Van der Auwera Geraldine A, 2013, Curr Protoc Bioinformatics, V43, DOI [10.1002/0471250953.bi1201s43, 10.1002/0471250953.bi1110s43]
   Storz JF, 2016, NAT REV GENET, V17, P239, DOI 10.1038/nrg.2016.11
   Tiffin P, 2014, TRENDS ECOL EVOL, V29, P673, DOI 10.1016/j.tree.2014.10.004
   Trucchi E, 2017, NEW PHYTOL, V216, P267, DOI 10.1111/nph.14722
   Turchin MC, 2012, NAT GENET, V44, P1015, DOI 10.1038/ng.2368
   Uller T, 2011, GLOBAL CHANGE BIOL, V17, P3478, DOI 10.1111/j.1365-2486.2011.02509.x
   van Boheemen LA, 2019, ECOL EVOL, V9, P7942, DOI 10.1002/ece3.5275
   van Boheemen LA, 2017, MOL ECOL, V26, P5421, DOI 10.1111/mec.14293
   VANSBOHEEMEN LA, 2018, NEW PHYTOL, V222, P1, DOI DOI 10.1101/420752
   Verhoeven KJF, 2011, P ROY SOC B-BIOL SCI, V278, P2, DOI 10.1098/rspb.2010.1272
   Weinreich DM, 2005, EVOLUTION, V59, P1165
   Wood TE, 2005, GENETICA, V123, P157, DOI 10.1007/s10709-003-2738-9
   Wright S, 1931, GENETICS, V16, P0097
   Xie KT, 2019, SCIENCE, V363, P81, DOI 10.1126/science.aan1425
   Yang Jian, 2011, Am J Hum Genet, V88, P76, DOI 10.1016/j.ajhg.2010.11.011
   Yang J, 2014, NAT GENET, V46, P100, DOI 10.1038/ng.2876
   Yeaman S, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007717
   Yeaman S, 2016, SCIENCE, V353, P1431, DOI 10.1126/science.aaf7812
   Yeaman S, 2013, P NATL ACAD SCI USA, V110, pE1743, DOI 10.1073/pnas.1219381110
NR 111
TC 24
Z9 27
U1 2
U2 33
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0962-1083
EI 1365-294X
J9 MOL ECOL
JI Mol. Ecol.
PD NOV
PY 2020
VL 29
IS 21
BP 4102
EP 4117
DI 10.1111/mec.15429
EA APR 2020
PG 16
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA OJ4FL
UT WOS:000527089800001
PM 32246535
DA 2025-01-10
ER

PT J
AU Gidhagen, L
   Olsson, J
   Amorim, JH
   Asker, C
   Belusic, D
   Carvalho, AC
   Engardt, M
   Hundecha, Y
   Körnich, H
   Lind, P
   Lindstedt, D
   Olsson, E
   Rosberg, J
   Segersson, D
   Strömbäck, L
AF Gidhagen, Lars
   Olsson, Jonas
   Amorim, Jorge H.
   Asker, Christian
   Belusic, Danijel
   Carvalho, Ana C.
   Engardt, Magnuz
   Hundecha, Yeshewatesfa
   Kornich, Heiner
   Lind, Petter
   Lindstedt, David
   Olsson, Esbjorn
   Rosberg, Jorgen
   Segersson, David
   Stromback, Lena
TI Towards climate services for European cities: Lessons learnt from the
   Copernicus project Urban SIS
SO URBAN CLIMATE
LA English
DT Article
DE Climate impacts; Climate adaptation; Cities; Meteorology; Air quality;
   Hydrology
ID AIR-QUALITY; PRECIPITATION; EMISSIONS; MODEL; PREDICTIONS; EXTREMES;
   SURFACE; LAND
AB The growing share of Europe's population living in cities makes urban climate change impact assessment and adaptation a critical issue. The urban environment is characterized by its sensitivity to small-scale meteorological, hydrological and environmental processes. These are generally not fully described in climate models, largely because of the models' insufficient spatial resolution. The Urban SIS climate service offers historical and future simulated data downscaled to 1 km x 1 km resolution over selected European metropolitan areas. The downscaled data are subsequently used as input to air quality and hydrological impact models, all made available to users as Essential Climate Variables and Sectoral Impact Indicators through a web portal. This paper presents the Urban SIS climate service and demonstrates its functionality in a case study in Stockholm city, Sweden. Good model performance was attained for intra-city temperature gradients and small-scale precipitation extremes. Less positive results were obtained for large-scale precipitation and hydrology, mainly due to an insufficient domain size in the meteorological and climate modelling, in turn related to the substantial computational requirements. An uncertainty classification approach was developed to aid the interpretation and user application of the data. We hope our lessons learnt will support future efforts in this direction.
C1 [Gidhagen, Lars; Olsson, Jonas; Amorim, Jorge H.; Asker, Christian; Belusic, Danijel; Carvalho, Ana C.; Hundecha, Yeshewatesfa; Kornich, Heiner; Lind, Petter; Lindstedt, David; Olsson, Esbjorn; Rosberg, Jorgen; Segersson, David; Stromback, Lena] SMHI FoUh, Swedish Meteorol & Hydrol Inst, Norrkoping 60176, Sweden.
   [Engardt, Magnuz] Environm & Hlth Adm, Box 8136, Stockholm 10420, Sweden.
C3 Swedish Meteorological & Hydrological Institute
RP Olsson, J (corresponding author), SMHI FoUh, Swedish Meteorol & Hydrol Inst, Norrkoping 60176, Sweden.
EM jonas.olsson@smhi.se
RI Olsson, Jonas/LVR-9745-2024; Segersson, David/AAP-3056-2021; Carvalho,
   Ana/ABH-4800-2020; Carvalho, Ana Cristina/K-6979-2012; Amorim, Jorge
   Humberto/E-7515-2010; Belusic, Danijel/E-5672-2012
OI Hundecha, Yeshewatesfa/0000-0002-9225-1485; Carvalho, Ana
   Cristina/0000-0001-5643-0307; Amorim, Jorge
   Humberto/0000-0002-2074-7764; Kornich, Heiner/0000-0003-0524-6440;
   Belusic, Danijel/0000-0002-5665-3866; Segersson,
   David/0000-0002-5935-962X; Stromback, Lena/0000-0001-5517-2940
FU EU Copernicus Climate Change Service [2015/C3S_441_Lot3_SMHI]
FX The Urban SIS project was funded by EU Copernicus Climate Change
   Service, contract 2015/C3S_441_Lot3_SMHI.
CR Andersson C, 2007, TELLUS B, V59, P77, DOI 10.1111/j.1600-0889.2006.00231.x
   [Anonymous], REPORT RESULTS DATAS
   Baklanov A, 2018, URBAN CLIM, V23, P330, DOI 10.1016/j.uclim.2017.05.004
   Bengtsson L, 2017, MON WEATHER REV, V145, P1919, DOI 10.1175/MWR-D-16-0417.1
   Berg P, 2016, J HYDROL, V541, P6, DOI 10.1016/j.jhydrol.2015.11.031
   BUISHAND TA, 1991, HYDROLOG SCI J, V36, P345, DOI 10.1080/02626669109492519
   Chow V.T., 1964, HDB APPL HYDROLOGY C
   Cortekar J, 2016, CLIM SERV, V4, P42, DOI 10.1016/j.cliser.2016.11.002
   De Ridder K, 2015, URBAN CLIM, V12, P21, DOI 10.1016/j.uclim.2015.01.001
   de' Donato FK, 2015, INT J ENV RES PUB HE, V12, P15567, DOI 10.3390/ijerph121215006
   EC ? European Commission, 2016, STAT EUR CIT REP
   Faroux S, 2013, GEOSCI MODEL DEV, V6, P563, DOI 10.5194/gmd-6-563-2013
   Gidhagen L, 2012, ADV METEOROL, V2012, DOI 10.1155/2012/240894
   Häggmark L, 2000, TELLUS A, V52, P2, DOI 10.1034/j.1600-0870.2000.520102.x
   Hazeleger W, 2013, GEOPHYS RES LETT, V40, P1794, DOI 10.1002/grl.50355
   Hazeleger W, 2012, CLIM DYNAM, V39, P2611, DOI 10.1007/s00382-011-1228-5
   Henschel S, 2013, Recommendations for concentration-response functions for cost-benefit analysis of particulate matter, ozone and nitrogen dioxide, health risks of air pollution in Europe-HRAPIE project
   Hernebring C., 2006, 200604 SVU
   Klimont Z, 2017, ATMOS CHEM PHYS, V17, P8681, DOI 10.5194/acp-17-8681-2017
   Kuenen JJP, 2014, ATMOS CHEM PHYS, V14, P10963, DOI 10.5194/acp-14-10963-2014
   Lacressonnière G, 2017, ATMOS ENVIRON, V154, P129, DOI 10.1016/j.atmosenv.2017.01.037
   Lind P, 2016, J CLIMATE, V29, P3501, DOI 10.1175/JCLI-D-15-0463.1
   Lindstedt D, 2015, TELLUS A, V67, DOI 10.3402/tellusa.v67.24138
   Lindström G, 2010, HYDROL RES, V41, P295, DOI 10.2166/nh.2010.007
   Markakis K, 2016, ATMOS CHEM PHYS, V16, P1877, DOI 10.5194/acp-16-1877-2016
   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
   Meinshausen M, 2011, CLIMATIC CHANGE, V109, P213, DOI 10.1007/s10584-011-0156-z
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Olsson J, 2019, HYDROL RES, V50, P945, DOI 10.2166/nh.2019.073
   Olsson J, 2014, HYDROL RES, V45, P479, DOI 10.2166/nh.2013.206
   Robertson L, 1999, J APPL METEOROL, V38, P190, DOI 10.1175/1520-0450(1999)038<0190:AELAAT>2.0.CO;2
   SMHI, 2017, D441542 SMHI
   SMHI, 2017, D441LOT352 SMHI
   SMHI, 2017, D44134 SMHI
   SMHI, 2017, D441LOT353 SMHI
   SMHI, 2017, D441LOT351 SMHI
   Stockholm City, 2018, STRATEGY FOSSILFUEL
   Stohl A, 2015, ATMOS CHEM PHYS, V15, P10529, DOI 10.5194/acp-15-10529-2015
   Taillefer F., 2002, CANARI - Technical Documentation - Based on ARPEGE cycle CY25T1 (AL25T1 for ALADIN), P55
   Termonia P, 2018, GEOSCI MODEL DEV, V11, P257, DOI 10.5194/gmd-11-257-2018
   [UK COMEAP Public Health England], 2015, COMEAP REP STAT
   Ürge-Vorsatz D, 2018, NAT CLIM CHANGE, V8, P174, DOI 10.1038/s41558-018-0100-6
   Watson L, 2016, ATMOS ENVIRON, V142, P271, DOI 10.1016/j.atmosenv.2016.07.051
   Yang W, 2010, HYDROL RES, V41, P211, DOI 10.2166/nh.2010.004
NR 45
TC 19
Z9 19
U1 1
U2 14
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD MAR
PY 2020
VL 31
AR 100549
DI 10.1016/j.uclim.2019.100549
PG 20
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA LJ8SC
UT WOS:000530430400003
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Young, HR
   Cornforth, RJ
   Gaye, AT
   Boyd, E
AF Young, Hannah R.
   Cornforth, Rosalind J.
   Gaye, Amadou T.
   Boyd, Emily
TI Event Attribution science in adaptation decision-making: the context of
   extreme rainfall in urban Senegal
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Senegal; adaptation policy; decision-making; extreme events;
   attribution; climate change
ID CLIMATE-CHANGE; WEATHER; POLICY; INFORMATION; LESSONS; UNCERTAINTY;
   GOVERNANCE; LIABILITY; SOUTHERN; AFRICA
AB Event attribution assesses the effect of climate change on individual extreme events. While scientists have suggested that results could be relevant for climate adaptation policy, this has had little empirical investigation, particularly in developing regions. Taking the case of Senegal, the national adaptation policy context regarding extreme precipitation and flooding in urban areas, and the scientific information needed to support this policy is investigated using key informant interviews, a workshop and document analysis. Flooding in Senegal was found to be viewed primarily as an urban planning concern rather than a climate change issue, with actions to address the impacts focussing on current vulnerabilities of urban communities without considering changing climate risks. While stakeholders thought event attribution might be useful to inform about climate change impacts and future risks of extreme events, it is unclear whether there would be an opportunity for this at present, due to the limited role climate information has in adaptation decision-making. While addressing vulnerability to extremes is necessary whether or not the risk is climate change-related, if long-term planning is to be resilient then knowledge about future changes in risks of extremes will need to be considered, even if individual events are not attributed to climate change.
C1 [Young, Hannah R.] Univ Reading, Dept Meteorol, Reading RG6 6BB, Berks, England.
   [Cornforth, Rosalind J.] Univ Reading, Walker Inst, Reading, Berks, England.
   [Gaye, Amadou T.] Univ Cheikh Anta Diop, Lab Phys Atmosphere & Ocean Simeon Fongang, ESP, Dakar, Senegal.
   [Boyd, Emily] Univ Reading, Dept Geog & Environm Sci, Reading, Berks, England.
   [Boyd, Emily] Lund Univ, Ctr Sustainabil Studies, Lund, Sweden.
C3 University of Reading; University of Reading; University Cheikh Anta
   Diop Dakar; University of Reading; Lund University
RP Young, HR (corresponding author), Univ Reading, Dept Meteorol, Reading RG6 6BB, Berks, England.
EM hannah.young@reading.ac.uk
RI Boyd, Emily/KEE-8802-2024; Young, Hannah/KPA-5358-2024; Cornforth,
   Rosalind/D-2263-2019
OI Young, Hannah/0000-0002-7997-9471; Boyd, Emily/0000-0002-1643-9718;
   Cornforth, Rosalind/0000-0003-4379-9556; Gaye, Amadou
   Thierno/0000-0002-3688-1351
FU Natural Environment Research Council [NE/K005472/1]; NERC [NE/K005472/1,
   NE/P021077/1] Funding Source: UKRI
FX This work was supported by the Natural Environment Research Council
   [grant number NE/K005472/1].
CR Agence de Developpement Municipal, 2011, 1 AG DEV MUN
   Agence de Developpement Municipal, 2015, PROJ GEST EAUX PLUV
   Allen M, 2003, NATURE, V421, P891, DOI 10.1038/421891a
   [Anonymous], 2016, ATTR EXTR WEATH EV C
   [Anonymous], 2009, EOS T AM GEOPHYS UN, DOI DOI 10.1029/2009EO210004
   Atkinson R., 2004, ENCY SOCIAL SCI RES, P1044, DOI DOI 10.4135/9781412950589.N931
   Bader J, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL018426
   Barbour R., 2018, Doing Focus Groups, V2nd ed
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Barrios S, 2006, J URBAN ECON, V60, P357, DOI 10.1016/j.jue.2006.04.005
   Bellprat O, 2015, WEATHER CLIM EXTREME, V9, P36, DOI 10.1016/j.wace.2015.07.001
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Boran I, 2016, ETHICS POLICY ENV, V19, P239, DOI 10.1080/21550085.2016.1226236
   Boyd E, 2013, ENVIRON PLANN C, V31, P926, DOI 10.1068/c12172
   Boyd E, 2013, NAT CLIM CHANGE, V3, P631, DOI 10.1038/NCLIMATE1856
   BRACED, 2014, LIV WAT PARTN INT UR
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Broto VC, 2015, CURR OPIN ENV SUST, V13, P11, DOI 10.1016/j.cosust.2014.12.005
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Castells-Quintana D., 2015, 223 CTR CLIM CHANG E
   Christensen JH, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1217
   Daron JD, 2015, REG ENVIRON CHANGE, V15, P1, DOI 10.1007/s10113-014-0631-y
   Diagne K, 2007, ENVIRON URBAN, V19, P552, DOI 10.1177/0956247807082836
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Direction de la Protection Civile, 2008, PLAN CONT REP SEN
   Dong BW, 2015, NAT CLIM CHANGE, V5, P757, DOI [10.1038/nclimate2664, 10.1038/NCLIMATE2664]
   Donhauser J, 2017, ETHICS POLICY ENV, V20, P263, DOI 10.1080/21550085.2017.1374023
   Fall S, 2006, EARTH INTERACT, V10
   Funk C C., 2012, A climate trend analysis of Senegal
   GFDRR, 2014, SEN URB FLOODS REC R
   Giannini A, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024010
   Government of Senegal and World Bank, 2013, EC SPAT STUD VULN AD
   Government of Senegal World Bank UNDP and EU, 2010, RAPP EV BES POST CAT
   Hoegh-Guldberg O, 2011, NAT CLIM CHANGE, V1, P72, DOI 10.1038/nclimate1107
   Huggel C, 2015, CLIMATIC CHANGE, V133, P453, DOI 10.1007/s10584-015-1441-z
   Hulme M, 2011, SCIENCE, V334, P764, DOI 10.1126/science.1211740
   James R, 2014, NAT CLIM CHANGE, V4, P938, DOI 10.1038/nclimate2411
   Jankovic V, 2017, WEATHER CLIM SOC, V9, P27, DOI 10.1175/WCAS-D-16-0030.1
   Johnson CL, 2005, INT J WATER RESOUR D, V21, P561, DOI 10.1080/07900620500258133
   Jones L., 2014, HOW IS CLIMATE INFOR
   Jones L, 2015, NAT CLIM CHANGE, V5, P812, DOI 10.1038/nclimate2701
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Krueger R.A., 2009, FOCUS GROUPS, V4th
   Lavell A, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P25
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lusk G, 2017, CLIMATIC CHANGE, V143, P201, DOI 10.1007/s10584-017-1967-3
   Mbow C., 2008, Afr. J. Environ. Sci. Technol, V2, P75
   Milen D., 2011, Vulnerability, Risk Reduction and Adaption to Climate Change Viet Nam, Climate Change and Adaption Country Profile
   Ministere de l'Environnement et de la Protection de la Nature, 2006, PLAN ACT AT POUR DAP
   Ministere de l'Environnement et du Developpement Durable, 2015, CONTR PREV DET NIV N
   Ministere de l'Interieur, 2015, CONC MIS PLAC AYST A
   Ministere du Tourisme et des Transport Aeriens, 2016, PLAN ACT SEN 2016 20
   Morss RE, 2005, B AM METEOROL SOC, V86, P1593, DOI 10.1175/BAMS-86-11-1593
   New M, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006289
   OCHA, 2012, OV IMP FLOODS W CENT
   Otto FEL, 2017, NAT CLIM CHANGE, V7, P757, DOI 10.1038/nclimate3419
   Otto FEL, 2015, CLIMATIC CHANGE, V132, P531, DOI 10.1007/s10584-015-1432-0
   Otto FEL, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0299
   Parker HR, 2017, CLIM POLICY, V17, P533, DOI 10.1080/14693062.2015.1124750
   Parker HR, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5386
   Parker HR, 2016, INT J DISAST RISK SC, V7, P353, DOI 10.1007/s13753-016-0105-6
   Patt A, 2012, GEOGR TIDSSKR-DEN, V112, P174, DOI 10.1080/00167223.2012.742967
   Patt A, 2009, NATO SCI PEACE SECUR, P231, DOI 10.1007/978-90-481-2636-1_10
   Pegasys, 2015, POL EC LON LIV DESC
   Peterson TC, 2013, B AM METEOROL SOC, V94, pS1, DOI 10.1175/BAMS-D-13-00085.1
   QSR, 2015, NVIV QUAL DAT AN SOF
   Rust HW, 2013, J CLIMATE, V26, P8189, DOI 10.1175/JCLI-D-12-00302.1
   Sane O. D., 2015, Journal of Geographic Information System, V7, P415, DOI 10.4236/jgis.2015.74033
   Schaer C, 2018, CLIM DEV, V10, P243, DOI 10.1080/17565529.2017.1291405
   Schaer C, 2015, INT J CLIM CHANG STR, V7, P534, DOI 10.1108/IJCCSM-03-2014-0038
   Schwab M, 2017, WEATHER CLIM EXTREME, V18, P1, DOI 10.1016/j.wace.2017.09.001
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Sippel S, 2015, WEATHER CLIM SOC, V7, P224, DOI 10.1175/WCAS-D-14-00045.1
   Southgate R. J., 2013, CAS STUD 5 WATCH RAI, P22
   Stott P.A., 2013, Climate Science for Serving Society, P307, DOI 10.1007/978-94-007-6692-112
   Stott PA, 2004, NATURE, V432, P610, DOI 10.1038/nature03089
   Stott PA, 2013, WEATHER, V68, P274, DOI 10.1002/wea.2141
   Surminski S, 2015, CLIM DEV, V7, P267, DOI 10.1080/17565529.2014.934770
   Tarhule A, 2009, B AM METEOROL SOC, V90, P1607, DOI 10.1175/2009BAMS2697.1
   Thompson A, 2015, CLIMATIC CHANGE, V133, P439, DOI 10.1007/s10584-015-1433-z
   Travis WR, 2014, WEATHER CLIM EXTREME, V5-6, P29, DOI 10.1016/j.wace.2014.08.001
   UNFCCC, 2014, LDC COUNTR INF
   UNISDR, 2013, CONS NAT CADR ACT PO
   Vedeld T, 2016, NAT HAZARDS, V82, pS173, DOI 10.1007/s11069-015-1875-7
   Wang H. G., 2009, PREPARING MANAGE NAT
NR 86
TC 6
Z9 7
U1 0
U2 10
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD OCT 21
PY 2019
VL 11
IS 9
BP 812
EP 824
DI 10.1080/17565529.2019.1571401
PG 13
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA JU2DJ
UT WOS:000501485400008
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Bamba, H
   Korbo, A
   Sanou, H
   Ræbild, A
   Kjær, ED
   Hansen, JK
AF Bamba, Hawa
   Korbo, Adama
   Sanou, Haby
   Raebild, Anders
   Kjaer, Erik D.
   Hansen, Jon K.
TI Genetic differentiation in leaf phenology among natural populations of
   <i>Adansonia digitata</i> L. follows climatic clines
SO GLOBAL ECOLOGY AND CONSERVATION
LA English
DT Article
DE Baobab; Geographic variation; Phenological phases; Senescence; Budburst
ID FOREST TREES; BAOBAB; LEAVES; MANAGEMENT; DAYLENGTH; AFRICA; GROWTH;
   WATER
AB Leafing phenology is an important component of climatic adaptation in semi-arid regions. The questions are to what extent phenology is under genetic control and represent adaptation to local climates? In the present study, we compare leaf phenology among Adansonia digitata L. trees of 27 different origins from West and East Africa and test if the differences follow climatic clines. Timing of bud burst was largely synchronized with the start of rainy season, but some few individual trees showed bud burst before the first rain. Timing of leaf senescence was under genetic control with substantial differences among origins. The timing of senescence was for some origins at the end of rainy season and for some in the beginning of the dry season. Differences among origins in timing of leaf senescence were related to the variation in drought just before- and in the first months of the rainy season at the sites of origin. Populations from drier sites had the earliest leaf shed at the common test site indicating that trees have been adapted to the prevailing climatic conditions at the sites of origin. We discuss the results in the light of possible triggering factors. (C) 2019 The Authors. Published by Elsevier B.V.
C1 [Bamba, Hawa; Korbo, Adama; Sanou, Haby] IER, Programme Ressources Forestieres CRRA Sotuba, Rue Mohamed 5,BP 258, Bamako, Mali.
   [Bamba, Hawa; Sanou, Haby; Raebild, Anders; Kjaer, Erik D.; Hansen, Jon K.] Univ Copenhagen, Dept Geosci & Nat Resource Management, Rolighedsvej 23, DK-1958 Frederiksberg C, Denmark.
C3 University of Copenhagen
RP Hansen, JK (corresponding author), Univ Copenhagen, Dept Geosci & Nat Resource Management, Rolighedsvej 23, DK-1958 Frederiksberg C, Denmark.
EM jkh@ign.ku.dk
RI Ræbild, Anders/N-9741-2014; Kjaer, Erik/D-6534-2017; Hansen,
   Jon/A-6582-2015
OI Kjaer, Erik/0000-0001-8624-1611; Hansen, Jon/0000-0002-1260-3509
FU International Foundation for Science, Sweden [D/5060-1]; CGIAR Research
   Programme on Forests, Trees and Agroforestry (FTA); European Commission
   (EU) through the SAFRUIT project [INCO-DEV-2005-015465]; Danida, Denmark
   through the NUTREE project [DAN 8-912]
FX The present study was supported by International Foundation for Science,
   Sweden through grant no D/5060-1 and by the CGIAR Research Programme on
   Forests, Trees and Agroforestry (FTA), 2017-2022. The European
   Commission (EU) through the SAFRUIT project (Contract no.
   INCO-DEV-2005-015465) and Danida, Denmark through the NUTREE project
   (DAN 8-912) were the financial founders of the trial.
CR Aitken SN, 2016, EVOL APPL, V9, P271, DOI 10.1111/eva.12293
   [Anonymous], 2002, BAOBAB ADANSONIA DIG
   Assogbadjo AE, 2005, BELG J BOT, V138, P47
   BAUM DA, 1995, ANN MO BOT GARD, V82, P440, DOI 10.2307/2399893
   Borchert R, 2005, INT J BIOMETEOROL, V50, P57, DOI 10.1007/s00484-005-0261-7
   Burnham K., 2002, MODEL SELECTION MULT, P60
   Chapotin SM, 2006, NEW PHYTOL, V169, P549, DOI 10.1111/j.1469-8137.2005.01618.x
   Chidumayo EN, 2001, J VEG SCI, V12, P347, DOI 10.2307/3236848
   Dhillion SS, 2004, AGR ECOSYST ENVIRON, V101, P85, DOI 10.1016/S0167-8809(03)00170-1
   Di Lucchio LM, 2018, ECOL EVOL, V8, P11261, DOI 10.1002/ece3.4600
   Diop Aida Gabar, 2006, Fruits, V61, P55, DOI 10.1051/fruits:2006005
   Do FC, 2005, FOREST ECOL MANAG, V215, P319, DOI 10.1016/j.foreco.2005.05.022
   Duvall CS, 2007, J BIOGEOGR, V34, P1947, DOI 10.1111/j.1365-2699.2007.01751.x
   FORSYTHE WC, 1995, ECOL MODEL, V80, P87, DOI 10.1016/0304-3800(94)00034-F
   Gebauer J, 2013, GENET RESOUR CROP EV, V60, P1587, DOI 10.1007/s10722-013-9964-5
   Glew Robert H., 1997, Journal of Food Composition and Analysis, V10, P205, DOI 10.1006/jfca.1997.0539
   Harris I, 2014, INT J CLIMATOL, V34, P623, DOI 10.1002/joc.3711
   Jones P., 2014, CRU TIME SERIES TS H
   Kempe A, 2018, BOT STUD, V59, DOI 10.1186/s40529-018-0223-0
   Korbo A, 2013, TREE GENET GENOMES, V9, P779, DOI 10.1007/s11295-013-0595-y
   Korbo A, 2012, AGROFOREST SYST, V85, P505, DOI 10.1007/s10457-011-9464-6
   Kyndt T, 2009, AM J BOT, V96, P950, DOI 10.3732/ajb.0800266
   Larsen A. S., 2010, GENE FLOW GENETIC ST
   Lobo A, 2018, ECOL EVOL, V8, P2231, DOI 10.1002/ece3.3824
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   NJOKU E, 1964, J ECOL, V52, P19, DOI 10.2307/2257779
   Nordeide MB, 1996, INT J FOOD SCI NUTR, V47, P455, DOI [10.3109/09637489609031874, 10.1080/09637480220164316]
   Ouedrago M., 2014, THESIS
   Owen J., 1970, AFRICAN NOTES, V6, P24
   Parkouda C, 2009, CRIT REV MICROBIOL, V35, P139, DOI 10.1080/10408410902793056
   Ræbild A, 2011, NEW FOREST, V41, P297, DOI 10.1007/s11056-010-9237-5
   Ramírez-Valiente JA, 2017, TREE PHYSIOL, V37, P889, DOI 10.1093/treephys/tpx040
   Ryan CM, 2017, NEW PHYTOL, V213, P625, DOI 10.1111/nph.14262
   Sanchez AC, 2010, AGROFOREST SYST, V80, P191, DOI 10.1007/s10457-010-9282-2
   SAS Institute Inc, 2015, SAS/STAT 14.1 User's Guide
   SATTERTHWAITE FE, 1946, BIOMETRICS BULL, V2, P110, DOI 10.2307/3002019
   Seghieri J, 2012, PHENOLOGY CLIMATE CH
   Sidibe M., 1998, Agroforestry Today, V10, P7
   Sow MD, 2018, ADV BOT RES, V88, P387, DOI 10.1016/bs.abr.2018.09.003
   Stevens N, 2016, AUSTRAL ECOL, V41, P87, DOI 10.1111/aec.12302
   SWANEPOEL CM, 1993, AFR J ECOL, V31, P84, DOI 10.1111/j.1365-2028.1993.tb00522.x
   Sylla MB, 2016, ADAPTATION CLIMATE C
   Venter SM, 2010, FOREST ECOL MANAG, V259, P294, DOI 10.1016/j.foreco.2009.10.016
   WICKENS G E, 1982, Kew Bulletin, V37, P173, DOI 10.2307/4109961
   Yazzie Delvin, 1994, Journal of Food Composition and Analysis, V7, P189, DOI 10.1006/jfca.1994.1018
   2016, GENET RESOUR CROP EV, V63, P377, DOI DOI 10.1007/S10722-015-0360-1
   2013, ECOL EVOL, V3, P399, DOI DOI 10.1002/ECE3.461
NR 47
TC 6
Z9 6
U1 0
U2 3
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2351-9894
J9 GLOB ECOL CONSERV
JI Glob. Ecol. Conserv.
PD JAN
PY 2019
VL 17
AR e00544
DI 10.1016/j.gecco.2019.e00544
PG 10
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA HU7GI
UT WOS:000465448800036
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Johnston, VE
   Borsato, A
   Frisia, S
   Spötl, C
   Dublyansky, Y
   Töchterle, P
   Hellstrom, JC
   Bajo, P
   Edwards, RL
   Cheng, H
AF Johnston, V. E.
   Borsato, A.
   Frisia, S.
   Spoetl, C.
   Dublyansky, Y.
   Toechterle, P.
   Hellstrom, J. C.
   Bajo, P.
   Edwards, R. L.
   Cheng, H.
TI Evidence of thermophilisation and elevation-dependent warming during the
   Last Interglacial in the Italian Alps
SO SCIENTIFIC REPORTS
LA English
DT Article
ID CLIMATE-CHANGE; ISOTOPIC COMPOSITION; ASIAN MONSOON; SPELEOTHEMS; CAVES;
   WATER; PRECIPITATION; TEMPERATURES; CALIBRATION; DELTA-O-18
AB Thermophilisation is the response of plants communities in mountainous areas to increasing temperatures, causing an upward migration of warm-adapted (thermophilic) species and consequently, the timberline. This greening, associated with warming, causes enhanced evapotranspiration that leads to intensification of the hydrological cycle, which is recorded by hydroclimate-sensitive archives, such as stalagmites and flowstones formed in caves. Understanding how hydroclimate manifests at high altitudes is important for predicting future water resources of many regions of Europe that rely on glaciers and snow accumulation. Using proxy data from three coeval speleothems (stalagmites and flowstone) from the Italian Alps, we reconstructed both the ecosystem and hydrological setting during the Last Interglacial (LIG); a warm period that may provide an analogue to a near-future climate scenario. Our speleothem proxy data, including calcite fabrics and the stable isotopes of calcite and fluid inclusions, indicate a +4.3 +/- 1.6 degrees C temperature anomaly at similar to 2000 m a.s.l. for the peak LIG, with respect to present-day values (1961-1990). This anomaly is significantly higher than any low-altitude reconstructions for the LIG in Europe, implying elevation-dependent warming during the LIG. The enhanced warming at high altitudes must be accounted for when considering future climate adaption strategies in sensitive mountainous regions.
C1 [Johnston, V. E.; Borsato, A.] Museo Sci, Corso Lavoro & Sci,3, I-38122 Trento, Italy.
   [Borsato, A.; Frisia, S.] Univ Newcastle, Sch Environm & Life Sci, Callaghan, NSW 2308, Australia.
   [Spoetl, C.; Dublyansky, Y.; Toechterle, P.] Univ Innsbruck, Inst Geol, Innrain 52, A-6020 Innsbruck, Austria.
   [Hellstrom, J. C.; Bajo, P.] Univ Melbourne, Sch Earth Sci, Melbourne, Vic 3010, Australia.
   [Edwards, R. L.; Cheng, H.] Univ Minnesota, Dept Earth Sci, Minneapolis, MN USA.
   [Cheng, H.] Xi An Jiao Tong Univ, Inst Global Environm Change, Xian, Shaanxi, Peoples R China.
   [Johnston, V. E.] Slovenian Acad Sci & Arts, Karst Res Inst, Res Ctr, Titov Trg 2, SI-6230 Postojna, Slovenia.
C3 University of Newcastle; University of Innsbruck; University of
   Melbourne; University of Minnesota System; University of Minnesota Twin
   Cities; Xi'an Jiaotong University; Slovenian Academy of Sciences & Arts
   (SASA); Karst Research Institute, SASA
RP Johnston, VE (corresponding author), Museo Sci, Corso Lavoro & Sci,3, I-38122 Trento, Italy.; Johnston, VE (corresponding author), Slovenian Acad Sci & Arts, Karst Res Inst, Res Ctr, Titov Trg 2, SI-6230 Postojna, Slovenia.
EM johnston.ve@gmail.com
RI Hellstrom, John/B-1770-2008; Edwards, R./I-3124-2014; Dublyansky,
   Yuri/AAM-6110-2020; Johnston, Vanessa/KEE-8509-2024; frisia,
   silvia/B-2672-2010; Borsato, Andrea/H-1412-2012; Cheng, Hai/H-3413-2017
OI Frisia, Silvia/0000-0001-6568-2696; Dublyansky,
   Yuri/0000-0003-1433-9999; Cheng, Hai/0000-0002-5305-9458; Hellstrom,
   John/0000-0001-9427-3525; Johnston, Vanessa/0000-0001-7753-6119;
   Tochterle, Paul/0000-0003-1738-5771
FU European Union [COFUND-GA-2008-226070]
FX VEJ received funding from the European Union's Seventh Framework
   Programme for research, technological development and demonstration
   under grant agreement no. COFUND-GA-2008-226070 - project "Trentino".
   The Geological Survey of the Autonomous Province of Trento permitting
   sampling in CB Cave. We greatly appreciate laboratory help from Manuela
   Wimmer, Marc Luetscher and Gina Moseley (University of Innsbruck),
   Angela Min (University of Minnesota) and Steve Eggins (The Australian
   National University). We acknowledge the contribution of Michele
   Zandonati constructing Fig. 1.
CR Allen JRM, 2009, QUATERNARY SCI REV, V28, P1521, DOI 10.1016/j.quascirev.2009.02.013
   An W, 2016, CLIM PAST, V12, P201, DOI 10.5194/cp-12-201-2016
   Bajo P, 2017, GEOCHIM COSMOCHIM AC, V210, P208, DOI 10.1016/j.gca.2017.04.038
   Bar-Matthews M, 2003, GEOCHIM COSMOCHIM AC, V67, P3181, DOI 10.1016/S0016-7037(02)01031-1
   BERGER A, 1991, QUATERNARY SCI REV, V10, P297, DOI 10.1016/0277-3791(91)90033-Q
   Borsato A, 2000, J SEDIMENT RES, V70, P1171, DOI 10.1306/032300701171
   Borsato A, 2016, GEOCHIM COSMOCHIM AC, V177, P275, DOI 10.1016/j.gca.2015.11.043
   Borsato A, 2015, EARTH SURF PROC LAND, V40, P1158, DOI 10.1002/esp.3706
   Cheng H, 2000, CHEM GEOL, V169, P17, DOI 10.1016/S0009-2541(99)00157-6
   Coplen TB, 2007, GEOCHIM COSMOCHIM AC, V71, P3948, DOI 10.1016/j.gca.2007.05.028
   Daëron M, 2011, GEOCHIM COSMOCHIM AC, V75, P3303, DOI 10.1016/j.gca.2010.10.032
   Dahl-Jensen D, 2013, NATURE, V493, P489, DOI 10.1038/nature11789
   Demény A, 2016, QUATERN INT, V415, P25, DOI 10.1016/j.quaint.2015.11.137
   Drysdale RN, 2009, SCIENCE, V325, P1527, DOI 10.1126/science.1170371
   Dublyansky YV, 2009, RAPID COMMUN MASS SP, V23, P2605, DOI 10.1002/rcm.4155
   Fairchild I.J., 2012, Speleothem-Science. From Process to Past Environments
   Friedman I., 1977, 44OKK US GEOL SURV
   Frisia S, 2000, J SEDIMENT RES, V70, P1183, DOI 10.1306/022900701183
   Frisia S., 2010, Carbonates in Continental Settings: Facies, Environments, and Processes, V61, P269, DOI DOI 10.1016/S0070-4571(09)06106-8
   Frisia S, 2015, INT J SPELEOL, V44, P1, DOI 10.5038/1827-806X.44.1.1
   GAT JR, 1970, J GEOPHYS RES, V75, P3039, DOI 10.1029/JC075i015p03039
   Gobiet A, 2014, SCI TOTAL ENVIRON, V493, P1138, DOI 10.1016/j.scitotenv.2013.07.050
   Goñi MFS, 2012, GEOLOGY, V40, P627, DOI 10.1130/G32908.1
   Gottfried M, 2012, NAT CLIM CHANGE, V2, P111, DOI [10.1038/nclimate1329, 10.1038/NCLIMATE1329]
   Govin A, 2015, QUATERNARY SCI REV, V129, P1, DOI 10.1016/j.quascirev.2015.09.018
   Hellstrom J, 2003, J ANAL ATOM SPECTROM, V18, P1346, DOI 10.1039/b308781f
   Hill Carol., 1997, Cave Minerals of the World, VSecond
   Johnston VE, 2013, CLIM PAST, V9, P99, DOI 10.5194/cp-9-99-2013
   Kaspar F, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL022456
   Kelly MJ, 2006, PALAEOGEOGR PALAEOCL, V236, P20, DOI 10.1016/j.palaeo.2005.11.042
   Kim ST, 1997, GEOCHIM COSMOCHIM AC, V61, P3461, DOI 10.1016/S0016-7037(97)00169-5
   Kopp RE, 2009, NATURE, V462, P863, DOI 10.1038/nature08686
   Kotlarski S, 2012, CLIMATIC CHANGE, V112, P189, DOI 10.1007/s10584-011-0195-5
   Longinelli A, 2003, J HYDROL, V270, P75
   Loutre MF, 2014, CLIM PAST, V10, P1541, DOI 10.5194/cp-10-1541-2014
   Matthews A, 2000, CHEM GEOL, V166, P183, DOI 10.1016/S0009-2541(99)00192-8
   Meteotrentino, 2016, PROV AUT TRENT
   Moseley GE, 2015, QUATERNARY SCI REV, V127, P229, DOI 10.1016/j.quascirev.2015.07.012
   Pepin N, 2015, NAT CLIM CHANGE, V5, P424, DOI [10.1038/nclimate2563, 10.1038/NCLIMATE2563]
   Scholz D, 2012, CLIM PAST, V8, P1367, DOI 10.5194/cp-8-1367-2012
   Scholz D, 2011, QUAT GEOCHRONOL, V6, P369, DOI 10.1016/j.quageo.2011.02.002
   Shackleton NJ, 2003, GLOBAL PLANET CHANGE, V36, P151, DOI 10.1016/S0921-8181(02)00181-9
   Shen CC, 2012, GEOCHIM COSMOCHIM AC, V99, P71, DOI 10.1016/j.gca.2012.09.018
   Treble P, 2003, EARTH PLANET SC LETT, V216, P141, DOI 10.1016/S0012-821X(03)00504-1
   Tremaine DM, 2011, GEOCHIM COSMOCHIM AC, V75, P4929, DOI 10.1016/j.gca.2011.06.005
   Turney CSM, 2010, J QUATERNARY SCI, V25, P839, DOI 10.1002/jqs.1423
   Wainer K, 2011, QUATERNARY SCI REV, V30, P130, DOI 10.1016/j.quascirev.2010.07.004
   Wang QX, 2016, SCI REP-UK, V6, DOI 10.1038/srep19219
   Wang YJ, 2008, NATURE, V451, P1090, DOI 10.1038/nature06692
   Yan L., 2014, Journal of Earth, Ocean and Atmospheric Sciences, V1, P13
   Zhang K, 2015, SCI REP-UK, V5, DOI 10.1038/srep15956
NR 51
TC 26
Z9 25
U1 1
U2 14
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD FEB 8
PY 2018
VL 8
AR 2680
DI 10.1038/s41598-018-21027-3
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA FV3DV
UT WOS:000424449100058
PM 29422638
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Karrasch, L
   Maier, M
   Kleyer, M
   Klenke, T
AF Karrasch, Leena
   Maier, Martin
   Kleyer, Michael
   Klenke, Thomas
TI Collaborative Landscape Planning: Co-Design of Ecosystem-Based Land
   Management Scenarios
SO SUSTAINABILITY
LA English
DT Article
DE co-design; collaborative landscape planning; ecosystem-based management
ID SUSTAINABILITY SCIENCE; ADAPTIVE GOVERNANCE; SERVICES APPROACH;
   TRADE-OFFS; KNOWLEDGE; FRAMEWORK; SYSTEMS; BIODIVERSITY; CHALLENGES;
   SUPPORT
AB Land management in coastal areas has to cope with impacts of climate change and sea level rise. In Germany, landscape plans assess and organize the spatial allocation of land use as an environmental contribution to general spatial planning. Collaborative planning processes are important to develop sustainable and ecosystem-based strategies to make coastal landscapes climate proof. However, there is little experience with collaborative processes in practical planning in Germany, and probably in other countries as well. This paper conducts an empirical case study in the low-lying coastal areas of northwest Germany. During a collaborative landscape planning process, four different ecosystem-based land management scenarios have been co-designed by regional experts and researchers. The participatory and iterative process included the development of scenario narratives to define planning goals, the use of land use elements and their relations to ecosystem services as planning entities in terms of indicators, the art-based illustrations of the different scenarios, and an evaluation and monitoring of the outcomes by regional experts. The decision-maker group decided on the so-called "actor-based" scenario, which contained freshwater retention areas (polders) to prevent potential uncontrolled flooding of the hinterland. This climate adaptation strategy has been implemented in the regional development plan of the county.
C1 [Karrasch, Leena] Carl von Ossietzky Univ Oldenburg, Ecol Econ Grp, Dept Business Adm Econ & Law, D-26111 Oldenburg, Germany.
   [Maier, Martin; Kleyer, Michael] Carl von Ossietzky Univ Oldenburg, Landscape Ecol Grp, Inst Biol & Environm Sci, D-26111 Oldenburg, Germany.
   [Karrasch, Leena; Klenke, Thomas] Carl von Ossietzky Univ Oldenburg, COAST Ctr Environm & Sustainabil Res, D-26111 Oldenburg, Germany.
C3 Carl von Ossietzky Universitat Oldenburg; Carl von Ossietzky Universitat
   Oldenburg; Carl von Ossietzky Universitat Oldenburg
RP Karrasch, L (corresponding author), Carl von Ossietzky Univ Oldenburg, Ecol Econ Grp, Dept Business Adm Econ & Law, D-26111 Oldenburg, Germany.; Karrasch, L (corresponding author), Carl von Ossietzky Univ Oldenburg, COAST Ctr Environm & Sustainabil Res, D-26111 Oldenburg, Germany.
EM leena.karrasch@uni-oldenburg.de; Martin.maier@uni-oldenburg.de;
   Michael.kleyer@uni-oldenburg.de; Thomas.klenke@uni-oldenburg.de
RI ; Maier, Martin/F-5642-2010
OI Klenke, Thomas/0000-0001-7190-8495; Maier, Martin/0000-0002-3782-6370;
   Kleyer, Michael/0000-0002-0824-2974; Karrasch, Leena/0000-0002-7722-1720
FU German Federal Ministry of Education and Research [01LL0911]
FX The development of the actor-based scenario was only possible with the
   active participation of the experts. We are thankful for the time and
   effort they spent during the research process. We would also like to
   thank Udo Schotten for drawing the land management scenarios (Figure 3).
   This project was part of the collaborative research project "Sustainable
   coastal land management: Trade-offs in ecosystem services" (COMTESS),
   supported by the German Federal Ministry of Education and Research
   (grant number 01LL0911).
CR Albert C, 2014, LANDSCAPE ECOL, V29, P1301, DOI [10.1007/s10980-014-9990-5, 10.1007/s10980-014-0085-0]
   Alcamo J., CLIMATE CHANGE 2007
   [Anonymous], 2014, UK NATL ECOSYSTEM AS
   [Anonymous], 2007, NEUENTWICKLUNG REGIO
   [Anonymous], 2003, ECOSYSTEMS HUMAN WEL
   [Anonymous], 2005, Ecosystems and Human Well-being: Synthesis, VI.
   Aurich Landkreis, 2015, REGIONALES RAUMORDNU
   Behre KE, 2004, QUATERN INT, V112, P37, DOI 10.1016/S1040-6182(03)00064-8
   Bennett EM, 2015, CURR OPIN ENV SUST, V14, P76, DOI 10.1016/j.cosust.2015.03.007
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Blotevogel HH, 2014, SPATIAL PLANNING SYSTEMS AND PRACTICES IN EUROPE: A COMPARATIVE PERSPECTIVE ON CONTINUITY AND CHANGES, P83
   Brix H, 2001, AQUAT BOT, V69, P313, DOI 10.1016/S0304-3770(01)00145-0
   Carlsson L, 2005, J ENVIRON MANAGE, V75, P65, DOI 10.1016/j.jenvman.2004.11.008
   Carpenter SR, 2006, ECOL SOC, V11
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Cebrián-Piqueras MA, 2017, ECOSYST SERV, V23, P108, DOI 10.1016/j.ecoser.2016.11.009
   Cebrian-Piqueras Miguel A., 2017, International Journal of Biodiversity Science Ecosystem Services & Management, V13, P53, DOI 10.1080/21513732.2017.1289245
   Clark WC, 2016, P NATL ACAD SCI USA, V113, P4570, DOI 10.1073/pnas.1601266113
   Colucci E, 2007, QUAL HEALTH RES, V17, P1422, DOI 10.1177/1049732307308129
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   Elliott M, 2014, OCEAN COAST MANAGE, V93, P88, DOI 10.1016/j.ocecoaman.2014.03.014
   Eppink FV, 2012, GAIA, V21, P55, DOI 10.14512/gaia.21.1.14
   Epstein G, 2013, INT J COMMONS, V7, P432, DOI 10.18352/ijc.371
   Essink GHPO, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008719
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Fürst C, 2014, LANDSCAPE ECOL, V29, P1435, DOI 10.1007/s10980-014-0052-9
   Grothmann T, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9060976
   Haines-Young R, 2012, EEA Framework Contract No EEA/IEA/09/003
   Hering JG, 2016, SUSTAIN SCI, V11, P363, DOI 10.1007/s11625-015-0314-8
   Innes JE, 1999, J AM PLANN ASSOC, V65, P412, DOI 10.1080/01944369908976071
   Jacob D., 2008, Klimaauswirkungen und anpassung in Deutschland - Phase 1: erstellung regionaler Klimaszenarien fur Deutschland
   Karrasch L, 2016, RES HANDB IMPACT ASS, P86
   Karrasch L, 2014, LAND USE POLICY, V38, P522, DOI 10.1016/j.landusepol.2013.12.010
   Kerselaers E, 2013, LAND USE POLICY, V32, P197, DOI 10.1016/j.landusepol.2012.10.016
   Long RD, 2015, MAR POLICY, V57, P53, DOI 10.1016/j.marpol.2015.01.013
   Malinga R, 2013, ECOL SOC, V18, DOI 10.5751/ES-05494-180410
   Mayring P, QUALITATIVE CONTENT
   McGinnis MD, 2014, ECOL SOC, V19, DOI 10.5751/ES-06387-190230
   McKenzie E, 2014, ENVIRON PLANN C, V32, P320, DOI 10.1068/c12292j
   Miller TR, 2014, SUSTAIN SCI, V9, P239, DOI 10.1007/s11625-013-0224-6
   Minden V, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0284
   Nyberg J.B., ADAPTIVE MANAGEMENT
   Opdam P, 2015, LAND USE POLICY, V46, P223, DOI 10.1016/j.landusepol.2015.02.008
   Opdam P, 2013, LANDSCAPE ECOL, V28, P1439, DOI 10.1007/s10980-013-9925-6
   Opdam Paul., 2013, Landscape Ecology for Sustainable Environment and Culture, P77, DOI DOI 10.1007/978-94-007-6530-6_5
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Parker DC, 2008, GEOFORUM, V39, P789, DOI 10.1016/j.geoforum.2007.05.005
   Partelow S, 2016, ECOL SOC, V21, DOI 10.5751/ES-08524-210327
   Partelow S, 2016, SUSTAIN SCI, V11, P399, DOI 10.1007/s11625-015-0351-3
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Posner SM, 2016, P NATL ACAD SCI USA, V113, P1760, DOI 10.1073/pnas.1502452113
   Rabionet SE, 2011, QUAL REP, V16, P563
   Reise K, 2005, HELGOLAND MAR RES, V59, P9, DOI 10.1007/s10152-004-0202-6
   Reyers B, 2013, FRONT ECOL ENVIRON, V11, P268, DOI 10.1890/120144
   Rijke J, 2012, ENVIRON SCI POLICY, V22, P73, DOI 10.1016/j.envsci.2012.06.010
   Rounsevell MDA, 2010, WIRES CLIM CHANGE, V1, P606, DOI 10.1002/wcc.63
   Sanders E. B. N., 2008, CODESIGN, V4, P5, DOI [10.1080/15710880701875068, DOI 10.1080/15710880701875068]
   Seppelt R, 2013, CURR OPIN ENV SUST, V5, P458, DOI 10.1016/j.cosust.2013.05.002
   Smythe TC, 2015, SOC NATUR RESOUR, V28, P38, DOI 10.1080/08941920.2014.933921
   Stead D, 2014, INT J SUST DEV WORLD, V21, P15, DOI 10.1080/13504509.2013.824928
   Thompson JR, 2012, BIOSCIENCE, V62, P367, DOI 10.1525/bio.2012.62.4.8
   van der Brugge R, 2005, REG ENVIRON CHANGE, V5, P164, DOI 10.1007/s10113-004-0086-7
   van Notten PWF, 2003, FUTURES, V35, P423, DOI 10.1016/S0016-3287(02)00090-3
   Viglizzo EF, 2012, AGR ECOSYST ENVIRON, V154, P78, DOI 10.1016/j.agee.2011.07.007
   Weisse R, 2012, OCEAN COAST MANAGE, V68, P58, DOI 10.1016/j.ocecoaman.2011.09.005
   WICHTMANN W., 1999, Archiv fur Naturschutz und Landschaftsforschung, V38, P217
   Witte S, 2016, WETLANDS, V36, P121, DOI 10.1007/s13157-015-0722-7
NR 68
TC 36
Z9 38
U1 4
U2 62
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2017
VL 9
IS 9
AR 1668
DI 10.3390/su9091668
PG 15
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 FI0MT
UT WOS:000411621200161
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Yin, XJ
   Zhou, GS
AF Yin, Xiaojie
   Zhou, Guangsheng
TI Climatic suitability of the potential geographic distribution of
   <i>Fagus longipetiolata</i> in China
SO ENVIRONMENTAL EARTH SCIENCES
LA English
DT Article
DE Fagus longipetiolata; Potential geographic distribution; MaxEnt model;
   Dominant climatic factors; Threshold
ID SPECIES DISTRIBUTIONS; MAXIMUM-ENTROPY; NICHE MODELS; PREDICTION;
   ALGORITHM; PATTERNS; HABITAT; SOIL
AB The potential geographic distribution of Fagus longipetiolata and its climatic controls are studied, based on the maximum entropy (MaxEnt) model and actual geographic distribution data of F. longipetiolata, together with the climatic factors (annual precipitation, annual average daily minimum temperature, annual average daily maximum temperature, and annual solar radiation) reflecting the effects of solar radiation, heat and water resources on plant growth, as well as annual temperature range reflecting seasonal change. The results indicate that the MaxEnt model is suitable for simulating the geographic distribution of F. longipetiolata. The importance of the five factors and their thresholds of climatic adaptability are ranged as annual precipitation (P > 770 mm) > annual average daily minimum temperature (7 degrees C < T-min <20 degrees C) > annual temperature range (DTY <23 degrees C) > annual average daily maximum temperature (16 degrees C < T-max) > annual solar radiation (1.10 x 10(5) W/m(2) < Radi < 1.42 x 10(5) W/m(2)). The general distribution area is controlled by precipitation. Specifically, the western distribution boundary of F. Iongipetiolata (in Gansu, Sichuan and Yunnan provinces) relies on both temperature and solar radiation, and its northern boundary in China (in Shaanxi, Hubei and Hunan provinces) depends on the seasonal change.
C1 [Yin, Xiaojie; Zhou, Guangsheng] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China.
   [Zhou, Guangsheng] Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Botany, CAS; China
   Meteorological Administration; Chinese Academy of Meteorological
   Sciences (CAMS)
RP Zhou, GS (corresponding author), Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxincun, Beijing 100093, Peoples R China.
EM gszhou@ibcas.ac.cn
FU National Basic Research Program of China [2010CB951303]
FX Authors thank Lingfeng Mao for his assistance in data collection and
   valuable comments on this manuscript. Thanks to the editors of The
   Vegetation Map of China (1:1,000,000). This work is financially
   supported by the National Basic Research Program of China
   (2010CB951303).
CR [Anonymous], 2004, P 21 INT C MACH LEAR
   [曹铭昌 Cao Mingchang], 2005, [生态学报, Acta Ecologica Sinica], V25, P2031
   Cao Xiang-feng, 2010, Yingyong Shengtai Xuebao, V21, P3063
   CARPENTER G, 1993, BIODIVERS CONSERV, V2, P667, DOI 10.1007/BF00051966
   Chen PF, 2007, BIOL INVASIONS, V9, P43, DOI 10.1007/s10530-006-9004-x
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Fang JY, 1999, ACTA BOT SIN, V41, P766
   Guisan A, 2000, ECOL MODEL, V135, P147, DOI 10.1016/S0304-3800(00)00354-9
   Hong Bi-Gong, 1993, Acta Botanica Sinica, V35, P229
   Iverson LR, 2002, FOREST ECOL MANAG, V155, P205, DOI 10.1016/S0378-1127(01)00559-X
   JAYNES ET, 1957, PHYS REV, V106, P620, DOI 10.1103/PhysRev.106.620
   Li Feng, 2006, Yingyong Shengtai Xuebao, V17, P2255
   Liu M. H., 2008, THESIS E CHINA NORMA
   [刘宇 LIU Yu], 2006, [大气科学, Chinese Journal of Atmospheric Sciences], V30, P146
   Ma Song-Mei, 2010, Chinese Journal of Plant Ecology, V34, P1327, DOI 10.3773/j.issn.1005-264x.2010.11.010
   Moffett A, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000824
   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
   PRENTICE IC, 1992, J BIOGEOGR, V19, P117, DOI 10.2307/2845499
   Rupprecht F, 2011, J VEG SCI, V22, P647, DOI 10.1111/j.1654-1103.2011.01269.x
   Shao Hui, 2009, Chinese Journal of Plant Ecology, V33, P870, DOI 10.3773/j.issn.1005-264x.2009.05.005
   Thornton PE, 1999, AGR FOREST METEOROL, V93, P211, DOI 10.1016/S0168-1923(98)00126-9
   Thornton PE, 1997, J HYDROL, V190, P214, DOI 10.1016/S0022-1694(96)03128-9
   Thuiller W, 2003, J VEG SCI, V14, P669, DOI 10.1111/j.1654-1103.2003.tb02199.x
   Vayssières MP, 2000, J VEG SCI, V11, P679, DOI 10.2307/3236575
   Wang Juan, 2006, Zhiwu Shengtai Xuebao, V30, P1040
   WOODWARD FI, 1994, ADV BOT RES, V20, P1, DOI 10.1016/S0065-2296(08)60214-1
   吴刚, 1997, 生态学杂志, V16, P47
   [杨波 Yang Bo], 2009, [植物保护, Plant Protection], V35, P70
   Zhou GS, 2003, GLOBAL CHANGE ECOLOG
NR 30
TC 2
Z9 5
U1 4
U2 47
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1866-6280
EI 1866-6299
J9 ENVIRON EARTH SCI
JI Environ. Earth Sci.
PD FEB
PY 2015
VL 73
IS 3
BP 1143
EP 1149
DI 10.1007/s12665-014-3553-6
PG 7
WC Environmental Sciences; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Water Resources
GA AZ6PI
UT WOS:000348340900018
DA 2025-01-10
ER

PT J
AU Gustafson, DI
   Collins, M
   Fry, J
   Smith, S
   Matlock, M
   Zilberman, D
   Shryock, J
   Doane, M
   Ramsey, N
AF Gustafson, David I.
   Collins, Michael
   Fry, Jonna
   Smith, Saori
   Matlock, Marty
   Zilberman, David
   Shryock, Jereme
   Doane, Michael
   Ramsey, Nathan
TI Climate adaptation imperatives: global sustainability trends and
   eco-efficiency metrics in four major crops - canola, cotton, maize, and
   soybeans
SO INTERNATIONAL JOURNAL OF AGRICULTURAL SUSTAINABILITY
LA English
DT Article
DE food security; sustainable intensification; nutrition security; climate
   change
ID KUZNETS CURVE HYPOTHESIS; FOOD SECURITY; UNITED-STATES; CORN YIELD;
   AGRICULTURE; INTENSIFICATION
AB Supplying our world's growing nutrition needs in more sustainable ways has become an urgent global imperative, given the constraints of finite resources and the challenges of accelerating climate change. We present national-level eco-efficiency metrics in several representative production countries during the most recent decade (2000-2010) for four important crops: canola, cotton, maize, and soybeans. The metrics address greenhouse gas emissions and the utilization of land, water, and energy - all calculated per unit of production. We group countries based on their level of agricultural intensification and find that high-intensification countries are achieving the highest and yet still increasing levels of eco-efficiency, with these decadal gains: canola (26%), cotton (23%), maize (17%), and soybeans (18%). By stark contrast, low-intensification countries had no change in eco-efficiency during this same decade. Overall, our results suggest large opportunities for additional improvements in the developing world, and that cumulative resource savings through intensification have been significant. For instance, in the case of irrigated maize, if the high- and medium-intensification production countries had only achieved the same irrigation water-use efficiency as in the low-intensification countries, approximately 4 quadrillion (4x10(15)) more litres of irrigation water would have been consumed during the period 2000-2010.
C1 [Gustafson, David I.] Int Life Sci Inst Res Fdn, CIMSANS, Washington, DC 20005 USA.
   [Collins, Michael; Fry, Jonna; Smith, Saori] ERM, London EC3A 8AA, England.
   [Matlock, Marty] Univ Arkansas, Coll Engn, Fayetteville, AR 72701 USA.
   [Zilberman, David] Univ Calif Berkeley, Dept Agr & Resource Econ, Berkeley, CA 94720 USA.
   [Shryock, Jereme; Doane, Michael] Monsanto Co, St Louis, MO 63167 USA.
   [Ramsey, Nathan] Context Network, W Des Moines, IA 50266 USA.
C3 University of Arkansas System; University of Arkansas Fayetteville;
   University of California System; University of California Berkeley;
   Monsanto
RP Gustafson, DI (corresponding author), Int Life Sci Inst Res Fdn, CIMSANS, 1156 15th St NW,Suite 200, Washington, DC 20005 USA.
EM dgustafson@ilsi.org
RI Zilberman, David/KVA-6751-2024
OI Matlock, Marty/0000-0003-0176-3969
CR [Anonymous], FOR FUT FOOD FARM
   Beddington J.R., 2012, AGR FOOD SECURITY, V1, P10, DOI DOI 10.1186/2048-7010-1-10
   Beer T., 2007, The greenhouse and air quality emissions of biodiesel blends in Australia, DOI [10.1080/15440478.2014.929556, DOI 10.1080/15440478.2014.929556]
   Boyd-Orr J., 1950, SCI AM, V183, P43
   Cassman KG, 1999, P NATL ACAD SCI USA, V96, P5952, DOI 10.1073/pnas.96.11.5952
   CASTLEBERRY RM, 1984, CROP SCI, V24, P33, DOI 10.2135/cropsci1984.0011183X002400010008x
   Context, 2012, GLOB CROP PROD SYST
   Dinda S, 2004, ECOL ECON, V49, P431, DOI 10.1016/j.ecolecon.2004.02.011
   Duvick DN, 2005, ADV AGRON, V86, P83, DOI 10.1016/S0065-2113(05)86002-X
   Edgerton MD, 2012, NAT BIOTECHNOL, V30, P493, DOI 10.1038/nbt.2259
   FEDER G, 1985, ECON DEV CULT CHANGE, V33, P255, DOI 10.1086/451461
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Galbraith JK, 2007, J POLICY MODEL, V29, P587, DOI 10.1016/j.jpolmod.2007.05.008
   Galeotti M, 2009, ENVIRON RESOUR ECON, V42, P551, DOI 10.1007/s10640-008-9224-x
   Gan YT, 2012, INT J LIFE CYCLE ASS, V17, P58, DOI 10.1007/s11367-011-0337-z
   IFEU, 2007, GREENH GAS BAL GERM
   Khanna M, 1997, ECOL ECON, V23, P25, DOI 10.1016/S0921-8009(96)00553-8
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Nolan E, 2012, AM J AGR ECON, V94, P1171, DOI 10.1093/ajae/aas069
   Panichelli L, 2009, INT J LIFE CYCLE ASS, V14, P144, DOI 10.1007/s11367-008-0050-8
   Richardson AE, 2011, PLANT SOIL, V349, P121, DOI 10.1007/s11104-011-0950-4
   Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108
   Tomlinson I, 2013, J RURAL STUD, V29, P81, DOI 10.1016/j.jrurstud.2011.09.001
   United Nations Statistics Division (UNSD), 2012, 2009 EN STAT YB
   USDA, 2009, 2007 AGR CENS
   Waddington SR, 2010, FOOD SECUR, V2, P27, DOI 10.1007/s12571-010-0053-8
NR 27
TC 13
Z9 14
U1 0
U2 78
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1473-5903
EI 1747-762X
J9 INT J AGR SUSTAIN
JI Int. J. Agric. Sustain.
PD APR 3
PY 2014
VL 12
IS 2
BP 146
EP 163
DI 10.1080/14735903.2013.846017
PG 18
WC Agriculture, Multidisciplinary; Green & Sustainable Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Science & Technology - Other Topics
GA AF8UZ
UT WOS:000334992400004
DA 2025-01-10
ER

PT J
AU Labuschagné, IF
   Louw, JH
   Schmidt, K
   Sadie, A
AF Labuschagné, IF
   Louw, JH
   Schmidt, K
   Sadie, A
TI Budbreak number in apple seedlings as selection criterion for improved
   adaptability to mild winter climates
SO HORTSCIENCE
LA English
DT Article
DE Malus xdomestica; fruit breeding; heritability; climatic adaptation;
   selection response
ID BUD DORMANCY; GROWTH; TEMPERATURE; GENETICS; TRAITS; LENGTH
AB Absence or long delay of budbreak, also known as prolonged dormancy, is the most important symptom during incomplete dormancy. Budbreak number was evaluated to quantify seedling response to chilling and selection on excised and intact 1-year-old apple (Malus x domestica Borkh.) seedlings under controlled and natural environmental conditions. Indices based on: 1) the number and distribution of budbreak (prolonged dormancy grade = PDG); 2) the number of buds breaking, including shoot length with increased budbreak as part of the calculation (prolonged dormancy index = PDI); and 3) budbreak number per 100-cm shoot (NB) were tested in association with budbreak time (TB). The indices expressed the effects of cold treatments that induce earlier and higher numbers of budbreak. PDI and NB, but not PDG, identified families with increased budbreak. Seedlings with high PDG and NB were also associated with families in which high chill requiring parents were used, indicating that TB as pre-selection criterion may fail to identify seedlings with increased budbreak. Response to pre-selection for increased budbreak using PDG could be verified with the PDS and NB indices in seedlings and seedling clones. The NB of intact 1-year-old shoots under natural conditions is recommended as a pre-selection criterion against prolonged dormancy in suboptimal winter conditions.
C1 S African Agr Res Council Fruit Vine & Wine Res I, ZA-7599 Stellenbosch, South Africa.
C3 Agricultural Research Council of South Africa; Institute for Deciduous
   Fruit, Vines & Wine, Agricultural Research Council
EM iwan@infruit.agric.za
CR ALLAN P, 1993, SCI HORTIC-AMSTERDAM, V53, P73, DOI 10.1016/0304-4238(93)90139-H
   Bailey C. H., 1975, Advances in fruit breeding. Temperate fruits., P367
   BILLINGTON HL, 1991, FUNCT ECOL, V5, P403, DOI 10.2307/2389812
   BRADSHAW HD, 1995, GENETICS, V139, P963
   BROWN DILLON S., 1960, PROC AMER SOC HORT SCI, V75, P138
   Chandler W. H., 1960, Proceedings. American Society for Horticultural Science, V76, P1
   Cook NC, 1998, J AM SOC HORTIC SCI, V123, P30, DOI 10.21273/JASHS.123.1.30
   Cook NC, 2000, J HORTIC SCI BIOTECH, V75, P233
   DENARDI F, 1988, ACTA HORTIC, V232, P15
   DENNIS FG, 1987, HORTSCIENCE, V22, P820
   Falconer D.S., 1996, Quantitative Genetics
   Fuchigami LH, 1997, HORTSCIENCE, V32, P618, DOI 10.21273/HORTSCI.32.4.618
   Halgryn P. J., 2001, South African Journal of Plant and Soil, V18, P21
   HAUAGGE R, 1991, J AM SOC HORTIC SCI, V116, P116, DOI 10.21273/JASHS.116.1.116
   HAUAGGE R, 1991, J AM SOC HORTIC SCI, V116, P107, DOI 10.21273/JASHS.116.1.107
   HAUAGGE R, 1991, J AM SOC HORTIC SCI, V116, P121, DOI 10.21273/JASHS.116.1.121
   Herter F. G., 1988, Acta Horticulturae, P109
   Howe GT, 1999, HORTSCIENCE, V34, P1174
   KESTER DE, 1977, J AM SOC HORTIC SCI, V102, P145
   KRIEBEL H. B., 1962, SILVAE GENET, V11, P125
   Linsley-Noakes G. C., 1995, Journal of the Southern African Society for Horticultural Sciences, V5, P19
   Mahmood K, 2000, J HORTIC SCI BIOTECH, V75, P602, DOI 10.1080/14620316.2000.11511293
   Mauget J., 1988, ACTA HORTIC, V232, P101, DOI [10.17660/ActaHortic.1988.232.13, DOI 10.17660/ACTAHORTIC.1988.232.13]
   OPPENHEIMER C, 1968, Theoretical and Applied Genetics, V38, P97, DOI 10.1007/BF00934198
   REHFELDT GE, 1992, FOREST SCI, V38, P661
   RICHARDSON E A, 1974, Hortscience, V9, P331
   *SAS I INC, 1996, SAS SYST REL 6 12
   SHAPIRO SS, 1965, BIOMETRIKA, V52, P591, DOI 10.2307/2333709
   Snedecor GW., 1991, STAT METHODS, VEighth
   Tehranifar A, 1998, J HORTIC SCI BIOTECH, V73, P453, DOI 10.1080/14620316.1998.11510998
   Topp BL, 2000, ACTA HORTIC, P235, DOI 10.17660/ActaHortic.2000.522.26
   WILSON D, 1975, EUPHYTICA, V24, P815
   WORRALL J, 1967, PHYSIOL PLANTARUM, V20, P733, DOI 10.1111/j.1399-3054.1967.tb07217.x
NR 33
TC 5
Z9 5
U1 0
U2 3
PU AMER SOC HORTICULTURAL SCIENCE
PI ALEXANDRIA
PA 113 S WEST ST, STE 200, ALEXANDRIA, VA 22314-2851 USA
SN 0018-5345
EI 2327-9834
J9 HORTSCIENCE
JI Hortscience
PD OCT
PY 2003
VL 38
IS 6
BP 1186
EP 1190
DI 10.21273/HORTSCI.38.6.1186
PG 5
WC Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 743GD
UT WOS:000186563300028
OA gold
DA 2025-01-10
ER

PT J
AU Mohammed, A
   Feleke, E
AF Mohammed, Adem
   Feleke, Estifanos
TI Future climate change impacts on common bean (<i>Phaseolus vulgaris</i>
   L.) phenology and yield with crop management options in Amhara Region,
   Ethiopia
SO CABI AGRICULTURE & BIOSCIENCE
LA English
DT Article
DE Climate change; Common bean; DSSAT; Ethiopia; RCPs; RMSE
ID MAIZE PRODUCTION; ADAPTATION OPTIONS; MODEL; VARIABILITY; SIMULATION;
   AFRICA
AB Food insecurity is a recurrent feature of the Ethiopian drylands. The risk of food insecurity has been aggravated by climate variability, climate change, population pressure, and subsistence agricultural practices. In Ethiopia, common bean is the main source of protein for people who do not get access to animal protein. The national average yield in Ethiopia is 1600 kg ha(-1) which is far below yield at research sites (3000 kg ha(-1)) mainly due to drought, low soil fertility and lack of improved agronomic practices. A simulation study was conducted with the objectives (1) to calibrate and evaluate the CROPGRO-dry bean model of DSSAT for simulating phenology, growth and yield of common bean (2) to assess impacts of future climate on phenology and yield (3) to explore climate adaptive strategies for common bean. Three sowing dates (early, normal and late) and two water regime (rainfed and irrigated) were evaluated as climate adaptive measures. Results of model calibration indicated that the crop genetic coefficients were properly estimated. The RMSE, R-2 and d-index values for days to flowering in the model evaluation phase were 2.42 days, 0.76 and 0.82, respectively. The RMSE, R-2 and d-index values for days to physiological maturity were 3.19 days, 0.70 and 0.87, respectively while the values for grain yield were 113.7 kg ha(-1), 0.95 and 0.89 for the respective parameters. The impact analysis showed that both days to flowering and days to maturity may decrease in 2030s and 2050s at both sites and under both RCP4.5 and RCP8.5 scenarios as compared to the simulated values for the baseline period (1981-2010) but the decrease is not statistically significant. On the other hand, grain yield may significantly increase by 11% in 2030s under RCP8.5 scenario and by 9.2% and 21.1% in 2050s under RCP4.5 and RCP8.5 climate scenarios respectively. The highest significant increase in grain yield may be obtained from the early sowing (SSD - 15 days) combined with supplemental irrigation which may increase yield by 89%, 71% and 56% for the baseline period, 2030s and 2050s, respectively. However, the pattern of climate changes and the nature of crop stressors may change overtime. Thus, understanding the cumulative effects of these factors may help to develop climate resilient cropping systems in the study region.
C1 [Mohammed, Adem; Feleke, Estifanos] Wollo Univ, Coll Agr, POB 1145, Dessie, Ethiopia.
RP Mohammed, A (corresponding author), Wollo Univ, Coll Agr, POB 1145, Dessie, Ethiopia.
EM ademmohammed346@gmail.com
RI Mohammed, Adem/GZA-7612-2022
CR Abebe Y., 2006, Production and Marketing of White Pea Beans in the Rift Valley
   Adejuwon JO, 2005, SINGAPORE J TROP GEO, V26, P44, DOI 10.1111/j.0129-7619.2005.00203.x
   Amanuel A., 2018, J Plant Sci Res, V5, P178
   [Anonymous], 2014, Statistical Bulletin
   [Anonymous], 2007, Climate change national adaptation programme of action (NAPA) of Ethiopia
   Araya A, 2012, AGR FOREST METEOROL, V154, P30, DOI 10.1016/j.agrformet.2011.11.001
   Araya A, 2011, AGR FOREST METEOROL, V151, P425, DOI 10.1016/j.agrformet.2010.11.014
   Asfaw A, 2012, PLANT BREEDING, V131, P125, DOI 10.1111/j.1439-0523.2011.01921.x
   Asfaw A, 2009, THEOR APPL GENET, V120, P1, DOI 10.1007/s00122-009-1154-7
   Ayalew B., 2018, J. Nat. Sci. Res, V8, P28
   Bhupinderdhir, 2018, SUSTAIN AGR REV, V27, P213, DOI [10.1007/978-3-319-75190-0-8, DOI 10.1007/978-3-319-75190-0]
   Black CA, 1965, METHODS SOIL ANAL 1
   BOUYOUCOS GJ, 1962, AGRON J, V54, P464, DOI 10.2134/agronj1962.00021962005400050028x
   Chapman H.D., 2016, Methods of soil analysis: Part 2 chemical and microbiological properties, P891, DOI [DOI 10.2134/AGRONMONOGR9.2.C6, 10.2134/AGRONMONOGR9.2.C6]
   Collier MA, 2011, 19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), P2691
   Collins WJ, 2011, GEOSCI MODEL DEV, V4, P1051, DOI 10.5194/gmd-4-1051-2011
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   CSA, 2015, STAT B, V278
   CSA Agricultural sample survey, 2014, STAT B, V1
   Demeke AB, 2011, CLIMATIC CHANGE, V108, P185, DOI [10.1007/s10584-010-9994-3, 10.1007/S10584-010-9994-3]
   Dereje Ayalew Dereje Ayalew, 2012, African Journal of Agricultural Research, V7, P1475
   Deresa T.T., 2006, MEASURING EC IMPACT
   Donner LJ, 2011, J CLIMATE, V24, P3484, DOI 10.1175/2011JCLI3955.1
   Dufresne JL, 2013, CLIM DYNAM, V40, P2123, DOI 10.1007/s00382-012-1636-1
   Dunne JP, 2012, J CLIMATE, V25, P6646, DOI 10.1175/JCLI-D-11-00560.1
   Energy Group of ECSNCC Netzork, 2011, RENEWABLE ENERGY CLI
   EPA (Environmental Protection Agency), 2012, NAT REP ETH UN C SUS
   ERCA, 2015, MAN POL MPMP DEP PUB
   Ferris S., 2008, 7 IPMS INT LIV RES I, P68
   Graves Anil R., 2002, Journal of Natural Resources and Life Sciences Education, V31, P48
   Gummadi S, 2017, A WHITBREAD SPATIOTE
   Hadgu G, 2015, THEOR APPL CLIMATOL, V121, P733, DOI 10.1007/s00704-014-1261-5
   He W, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0207370
   Hoogenboom G., 2010, DECIS SUPPORT SYST
   Hoogenboom G., 2015, DECIS SUPPORT SYST
   Hoogenboom GJW, 2012, KOO DECISION SUPPORT
   IPCC, 2009, IPCC WORK GROUP I PH
   IPCC (Inter-governmental Panel on Climate Change), 2014, IPCCS 5 ASS REP WHAT, P32
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Jones PG, 2013, AGR SYST, V114, P1, DOI 10.1016/j.agsy.2012.08.002
   Jones PG, 2003, GLOBAL ENVIRON CHANG, V13, P51, DOI 10.1016/S0959-3780(02)00090-0
   Kassie BT, 2015, CLIMATIC CHANGE, V129, P145, DOI 10.1007/s10584-014-1322-x
   Katungi E., 2009, Common bean in Eastern and Southern Africa: a situation and outlook analysis
   Kidanu A., 2009, Linking Population, Fertility and Family Planning with Adaptation to Climate Change: Views from Ethiopia
   Kirkevåg A, 2008, TELLUS A, V60, P492, DOI 10.1111/j.1600-0870.2008.00313.x
   Li ZT, 2015, AGR SYST, V135, P90, DOI 10.1016/j.agsy.2014.12.006
   López-Cedrón FX, 2008, AGRON J, V100, P296, DOI 10.2134/agronj2007.0088
   MoANR (Ministry of Agriculture and Natural Resource), 2016, CROP VAR REG ISS NO
   Mohammed A, 2016, J AGRIC ENVIRON INT, V110, P377, DOI 10.12895/jaeid.20162.510
   Msongaleli B., 2014, Agricultural Sciences, V5, P822
   Muluneh A, 2015, REG ENVIRON CHANGE, V15, P1105, DOI 10.1007/s10113-014-0685-x
   Nayyar H, 2006, J INTEGR PLANT BIOL, V48, P1318, DOI 10.1111/j.1744-7909.2006.00350.x
   OLSEN STERLING R., 1954, U S DEPT AGRIC CIRC, V939, P1
   Ritchie JT, 1998, SYST APPR S, V7, P41
   Rockstrom J., 2007, Water for Food, Water for Life, P315
   Rubyogo JC, 2011, INCREASED BEAN PRODU
   SAS (Statistical Analysis System) Institute, 2008, SAS SYST WIND TM
   Schmidt GA, 2006, J CLIMATE, V19, P153, DOI 10.1175/JCLI3612.1
   Setegn SG, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009248
   Singh P, 1996, FIELD CROP RES, V46, P41, DOI 10.1016/0378-4290(95)00085-2
   Song ZY, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2012JC007931
   Stocker, 2014, CLIMATE CHANGE 2013
   Tesfaye S., 2014, AM J ENV ENG, V4, P25, DOI [10.5923/j.ajee.20140402.02, DOI 10.5923/J.AJEE.20140402.02]
   USAID, 2015, INFORMING CLIMATE CH
   Van Reeuwijk, 2002, 9 ISRIC
   Wakeyo M. B., 2014, TECHNICAL NOTES SERI
   WALLACH D, 1989, ECOL MODEL, V44, P299, DOI 10.1016/0304-3800(89)90035-5
   Watanabe M, 2010, J CLIMATE, V23, P6312, DOI 10.1175/2010JCLI3679.1
   Watanabe S, 2011, GEOSCI MODEL DEV, V4, P845, DOI 10.5194/gmd-4-845-2011
   Wilby RL, 2009, INT J CLIMATOL, V29, P1193, DOI 10.1002/joc.1839
   Willmott CJ., 1981, Phys Geogr, V2, P184, DOI [DOI 10.1080/02723646.1981.10642213, 10.1080/02723646.1981.10642213]
   World Bank, 2010, EC AD CLIM CHANG ETH, P124
   Wu TW, 2012, CLIM DYNAM, V38, P725, DOI 10.1007/s00382-011-0995-3
   Yitayal A, 2019, COMMON BEAN PRODUCTI
   Yukimoto S, 2012, J METEOROL SOC JPN, V90A, P23, DOI 10.2151/jmsj.2012-A02
   Zerihun Abebe Zerihun Abebe, 2017, Journal of Animal and Plant Sciences (JAPS), V32, P5120
NR 76
TC 3
Z9 3
U1 1
U2 6
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 MAY 13
PY 2022
VL 3
IS 1
AR 29
DI 10.1186/s43170-022-00103-9
PG 14
WC Agriculture, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA 8A6WA
UT WOS:000916376200001
OA gold
DA 2025-01-10
ER

PT J
AU Marshall, DJ
   McQuaid, CD
   Williams, GA
AF Marshall, David J.
   McQuaid, Christopher D.
   Williams, Gray A.
TI Non-climatic thermal adaptation: implications for species' responses to
   climate warming
SO BIOLOGY LETTERS
LA English
DT Article
DE climate change; global warming; thermal adaptation
ID ANIMALS; STRESS; SHIFTS
AB There is considerable interest in understanding how ectothermic animals may physiologically and behaviourally buffer the effects of climate warming. Much less consideration is being given to how organisms might adapt to non-climatic heat sources in ways that could confound predictions for responses of species and communities to climate warming. Although adaptation to non-climatic heat sources (solar and geothermal) seems likely in some marine species, climate warming predictions for marine ectotherms are largely based on adaptation to climatically relevant heat sources (air or surface sea water temperature). Here, we show that non-climatic solar heating underlies thermal resistance adaptation in a rocky-eulittoral-fringe snail. Comparisons of the maximum temperatures of the air, the snail's body and the rock substratum with solar irradiance and physiological performance show that the highest body temperature is primarily controlled by solar heating and re-radiation, and that the snail's upper lethal temperature exceeds the highest climatically relevant regional air temperature by approximately 22 degrees C. Non-climatic thermal adaptation probably features widely among marine and terrestrial ectotherms and because it could enable species to tolerate climatic rises in air temperature, it deserves more consideration in general and for inclusion into climate warming models.
C1 [Marshall, David J.] Univ Brunei Darussalam, Fac Sci, Dept Biol, Gadong, Brunei.
   [McQuaid, Christopher D.] Rhodes Univ, Dept Zool & Entomol, ZA-6140 Grahamstown, South Africa.
   [Williams, Gray A.] Univ Hong Kong, Sch Biol Sci, Swire Inst Marine Sci, Hong Kong, Hong Kong, Peoples R China.
   [Williams, Gray A.] Univ Hong Kong, Sch Biol Sci, Div Ecol & Biodivers, Hong Kong, Hong Kong, Peoples R China.
C3 University Brunei Darussalam; Rhodes University; University of Hong
   Kong; University of Hong Kong
RP Marshall, DJ (corresponding author), Univ Brunei Darussalam, Fac Sci, Dept Biol, Gadong, Brunei.
EM davidmarshall11@gmail.com
RI Williams, Gray/D-3139-2009; McQuaid, Christopher/AAT-3725-2020;
   Marshall, Dustin/C-3450-2016; McQuaid, Christopher/G-3512-2017
OI Marshall, David/0000-0003-3771-5950; McQuaid,
   Christopher/0000-0002-3473-8308
CR Angilletta MJ, 2006, PHYSIOL BIOCHEM ZOOL, V79, P282, DOI 10.1086/499990
   Denny MW, 2006, J EXP BIOL, V209, P2409, DOI 10.1242/jeb.02257
   Edgerly JS, 2005, FUNCT ECOL, V19, P255, DOI 10.1111/j.1365-2435.2005.00957.x
   GARRITY SD, 1984, ECOLOGY, V65, P559, DOI 10.2307/1941418
   Glanville EJ, 2006, J EXP BIOL, V209, P4869, DOI 10.1242/jeb.02585
   Harley CDG, 2006, ECOL LETT, V9, P228, DOI 10.1111/j.1461-0248.2005.00871.x
   Harley CDG, 2009, P NATL ACAD SCI USA, V106, P11172, DOI 10.1073/pnas.0904946106
   Helmuth B, 2005, ANNU REV PHYSIOL, V67, P177, DOI 10.1146/annurev.physiol.67.040403.105027
   Helmuth B, 2006, ANNU REV ECOL EVOL S, V37, P373, DOI 10.1146/annurev.ecolsys.37.091305.110149
   Kearney M, 2009, P NATL ACAD SCI USA, V106, P3835, DOI 10.1073/pnas.0808913106
   MCMAHON RF, 1990, HYDROBIOLOGIA, V193, P241, DOI 10.1007/BF00028081
   Page J, 2001, SOL ENERGY, V71, P81, DOI 10.1016/S0038-092X(00)00157-2
   Pörtner HO, 2007, SCIENCE, V315, P95, DOI 10.1126/science.1135471
   Reid David G., 2007, Zootaxa, V1420, P1
   Somero GN, 2002, INTEGR COMP BIOL, V42, P780, DOI 10.1093/icb/42.4.780
   Stillman JH, 2003, SCIENCE, V301, P65, DOI 10.1126/science.1083073
   Williams ST, 2003, MOL PHYLOGENET EVOL, V28, P60, DOI 10.1016/S1055-7903(03)00038-1
NR 17
TC 95
Z9 99
U1 1
U2 40
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1744-9561
EI 1744-957X
J9 BIOL LETTERS
JI Biol. Lett.
PD OCT 23
PY 2010
VL 6
IS 5
BP 669
EP 673
DI 10.1098/rsbl.2010.0233
PG 5
WC Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Environmental Sciences &
   Ecology; Evolutionary Biology
GA 649AW
UT WOS:000281739100027
PM 20375046
OA Green Published
DA 2025-01-10
ER

PT C
AU Jin, HD
   Kokic, P
   Hopwood, G
   Ricketts, JH
   Crimp, S
AF Jin, Huidong
   Kokic, Phil
   Hopwood, Garry
   Ricketts, J. H.
   Crimp, Steven
BE Weber, T
   McPhee, MJ
   Anderssen, RS
TI A New Quantile Projection Method for Producing Representative Future
   Daily Climate based on Mixed Effect State-Space Model and Observations
SO 21ST INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2015)
LA English
DT Proceedings Paper
CT 21st International Congress on Modelling and Simulation (MODSIM) held
   jointly with the 23rd National Conference of the
   Australian-Society-for-Operations-Research / DSTO led Defence Operations
   Research Symposium (DORS
CY NOV 29-DEC 04, 2015
CL Gold Coast, AUSTRALIA
SP BMT WBM, CSIRO, UNSW Australia Canberra, Griffith Univ, Deltares, Modelling & Simulat Soc Australia & New Zealand, Australian Soc Operat Res, DSTO, Gold Coast Tourism Corp
DE Bootstrapping; climate change projections; consistent climate scenarios;
   LMESS; quantile matching
AB Agriculture is particularly sensitive to climate variability and change. In Australia, agricultural production spans the tropics, sub-tropics, Mediterranean and temperate climatic zones, and operates under conditions of high climatic variability compared with other countries (Stokes & Howden, 2010). In response to operating under these conditions good risk managers have been actively using climate variability information to support operational management decisions. Increasingly these producers are now considering the longer term implications of anthropogenic climate change in their strategic farm planning (Meinke & Stone, 2005). To meet these longer term requirements, the Queensland Government through its Queensland Climate Change Centre of Excellence (QCCCE, now the Department of Science, Information Technology and Innovation (DSITI)), started delivering climate change projection data in 2010 via the Consistent Climate Scenarios (CCS) data portal (Burgess et al., 2012). Since mid-2012, CCS projections data have been more widely available via the CCS web-portal on DSITI's Long Paddock website, providing representative point-referenced daily data for periods centred on 2030 and 2050. Currently, registered users can access projected daily climate data free of charge as patched-point data (for any of the 4,759 SILO weather stations), or as individual points from a 0.05 degree grid across Australia. The future projections are based in part on observed trends as well as from Global Climate Models (GCM) and emission scenarios from the Intergovernmental Panel on Climate Change (IPCC), Fourth Assessment Report (AR4). CCS data are available in formats suitable for most biophysical models, enabling various stakeholders to undertake climate change adaptation studies for various primary industries across Australia, in particular within the grazing, cropping and horticultural sectors. To generate plausible and weather-like point-referenced future daily data from coarse-scale GCM outputs (typically monthly values on a 100-200km spatial grid), two downscaling approaches were developed, change factors and quantile matching. The quantile matching employs regression on monthly quantiles from daily observations to project future quantiles; and spatial pattern scaling to adjust quantile means based on GCM outputs. Quantile matching is used to simulate future daily climate based on historical observations, which incorporates quantile forecast bias correction, auto-correlation and cross-variable correlations.
   The CCS system has recently been refined to incorporate new GCM outputs from the IPCC Fifth Assessment Report (AR5), as outcome from a DSITI and CSIRO collaboration. Improvements on the quantile projection method are described in this paper. We use a multivariate Linear Mixed Effect State Space (LMESS) model for all the possible historical data to replace simple linear regression on data from each single month (Kokic et al., 2011). We model 12 months of data and three quantiles together to handle missing data issues in the historical observations. We select the same set of covariates from time and seasonality terms in order to maintain the consistent cross-variable correlations among the climate elements. We allow time-varying coefficients for some covariates. The model parameters are estimated via an Expectation-Maximisation algorithm. It is implemented in the statistical computing language R, and is called by the CCS from Python via the package rpy2. The model was tested and validated on dozens of representative SILO stations across the Australian continent. The hindcast results show that LMESS improves the hindcast accuracy and maintains the quantile spread, over the monthly regression used in the CCS system, linear regression (LR) and multivariate LR. Whilst the improvements are not statistically significant, the results are sizeable enough to support a move to this revised modelling approach.
C1 [Jin, Huidong; Kokic, Phil] CSIRO Digital Prod Flagship, GPO Box 664, Canberra, ACT 2601, Australia.
   [Hopwood, Garry; Crimp, Steven] CSIRO Agr Flagship, Canberra, ACT 2601, Australia.
   [Ricketts, J. H.] Dept Sci Informat Technol & Innovat, Dutton Pk, Qld, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Jin, HD (corresponding author), CSIRO Digital Prod Flagship, GPO Box 664, Canberra, ACT 2601, Australia.
EM Warren.Jin@csiro.au
RI Crimp, Steven/D-6995-2011; Ricketts, James/AAL-9673-2021; jin,
   Huidong/B-3187-2009
OI jin, Huidong/0000-0002-3925-0256
FU CSIRO Agriculture Flagship
FX This work is part of research and development alliance between CSIRO and
   DSITI. The project was mainly funded by CSIRO Agriculture Flagship.
CR [Anonymous], CONSISTENT CLIMATE S
   Bakar K.S., 2015, J STAT COMP IN PRESS, P1
   Bakar K.S., 2015, J ROYAL STAT SOC C
   Kokic P., 2015, PARAMETER E IN PRESS
   Kokic P, 2013, CLIM DYNAM, V41, P853, DOI 10.1007/s00382-013-1791-z
   Kokic P, 2011, ENVIRONMETRICS, V22, P409, DOI 10.1002/env.1074
   Meinke H, 2005, CLIMATIC CHANGE, V70, P221, DOI 10.1007/s10584-005-5948-6
   Ricketts JH, 2013, 20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013), P2785
   Stokes C, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P1
NR 9
TC 0
Z9 0
U1 0
U2 1
PU MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC
PI CHRISTCHURCH
PA MSSANZ, CHRISTCHURCH, 00000, NEW ZEALAND
BN 978-0-9872143-5-5
PY 2015
BP 1544
EP 1550
PG 7
WC Computer Science, Interdisciplinary Applications; Operations Research &
   Management Science; Mathematics, Applied
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Operations Research & Management Science; Mathematics
GA BI2XC
UT WOS:000410535400221
DA 2025-01-10
ER

PT J
AU Pozdnyakova, Y
   Murzatayeva, A
AF Pozdnyakova, Yelena
   Murzatayeva, Aigul
TI Urban Cemeteries as Biodiversity Refuges: A Comparative Study of Plant
   Ecobiomorphs in Central Kazakhstan
SO DIVERSITY-BASEL
LA English
DT Article
DE mesophytes; xerophytes; arid climates; microhabitats; species diversity;
   microclimate; ecosystem resilience; anthropogenic pressure; steppe
   ecosystems; climate adaptation
ID CLIMATE-CHANGE; GREEN SPACES; QUALITY; WILD
AB Cemeteries are often overlooked in ecological studies, yet they represent unique urban microhabitats that contribute to the preservation of diverse plant species, including those adapted to various ecological niches. This study aimed to assess the species composition, ecological classifications, and abundance of vascular plants in the cemetery and surrounding areas to explore cemeteries' role in conserving plant ecobiomorph diversity in arid climates. This study identified 79 plant species from 23 families within the cemetery compared with 31 species from 11 families in the surrounding area. The plant community in the cemetery was dominated by mesophytes, suggesting favorable and stable conditions for plant growth, while xerophytes were more common in the surrounding areas, indicating harsher, drier conditions. The diversity of plant life forms, including perennial herbs, shrubs, and trees, was significantly higher within the cemetery, indicating a more complex and resilient ecosystem. Our study demonstrates that cemeteries act as vital refuges for plant biodiversity. They offer significantly higher species diversity and more complex ecosystem structures compared with the surrounding areas. These findings emphasize the critical role cemeteries play in urban biodiversity conservation, particularly in increasingly arid environments.
C1 [Pozdnyakova, Yelena; Murzatayeva, Aigul] Karaganda Med Univ, Dept Biomed, Karaganda 10008, Kazakhstan.
C3 Karaganda Medical University
RP Pozdnyakova, Y (corresponding author), Karaganda Med Univ, Dept Biomed, Karaganda 10008, Kazakhstan.
EM pozdnyakova@qmu.kz; murzatayeva@qmu.kz
CR Adeyemi AA, 2016, J SUSTAIN FOREST, V35, P280, DOI 10.1080/10549811.2016.1168306
   Anna D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062374
   Baitenov M., 1999, Flora of Kazakhstan, VVolume 1
   Belote RT, 2017, ECOL APPL, V27, P1050, DOI 10.1002/eap.1527
   Besancenot JP, 2012, REV MAL RESPIR, V29, P1238, DOI 10.1016/j.rmr.2012.07.007
   Bridson D., 1995, Herbarium Techniques: A Handbook
   Buchholz S, 2016, BIODIVERS DATA J, V4, DOI 10.3897/BDJ.4.e7057
   Buldrini Fabrizio, 2023, Italian Botanist, V15, P111, DOI 10.3897/italianbotanist.15.102589
   Bykov B.A., 1957, Geobotany, V2nd ed.
   Carroll C, 2021, CONSERV BIOL, V35, P155, DOI 10.1111/cobi.13531
   Cengiz C, 2014, FRESEN ENVIRON BULL, V23, P2326
   Czarna Aneta, 2016, Acta Agrobotanica, V69, P1695, DOI 10.5586/aa.1695
   da Silva RFB, 2023, SCI TOTAL ENVIRON, V904, DOI 10.1016/j.scitotenv.2023.166681
   Daunoras J, 2024, BIOLOGY-BASEL, V13, DOI 10.3390/biology13020085
   Drude O., 1890, Handbook of Plant Geography
   Ebert AW, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9121706
   Gao H, 2013, BIODIVERS CONSERV, V22, P531, DOI 10.1007/s10531-012-0427-7
   Garces Jake Joshua C., 2022, Biosaintifika: Journal of Biology & Biology Education, V14, P308, DOI 10.15294/biosaintifika.v14i3.38860
   Gentili R, 2024, URBAN ECOSYST, V27, P219, DOI 10.1007/s11252-023-01432-x
   Ghosh S, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7291-9
   Gong C, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-020-80362-6
   Gudinskas Z., 2007, Zemes Vides Zinatn. Latv. Univ. Raksti, V685, P21
   Itescu Y, 2024, CONSERV BIOL, V38, DOI 10.1111/cobi.14322
   Karaganda, 1986, The Karaganda Region. Encyclopedia
   Khorun L.V., 2022, Izv. Tul. Gos. Univ. Ser. 2 Fiz.-Mat. i Estestv. Nauki, V3, P87, DOI [10.24412/2071-6176-2022-3-86-105, DOI 10.24412/2071-6176-2022-3-86-105]
   Kirpotin SN, 2021, AMBIO, V50, P1926, DOI 10.1007/s13280-021-01570-6
   Konic J, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094657
   Korell L, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22766-0
   Larcher F., 2021, Acta Horticulturae, P159, DOI 10.17660/ActaHortic.2021.1331.22
   Lawler JJ, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0117
   Le Roux JJ, 2020, CURR BIOL, V30, pR390, DOI 10.1016/j.cub.2020.02.066
   Löki V, 2020, ECOL EVOL, V10, P7497, DOI 10.1002/ece3.6476
   Löki V, 2019, GLOB ECOL CONSERV, V18, DOI 10.1016/j.gecco.2019.e00614
   Meena M, 2023, MICROB ECOL, V86, P49, DOI 10.1007/s00248-022-02051-3
   Michalak JL, 2018, CONSERV BIOL, V32, P1414, DOI 10.1111/cobi.13130
   Neckel A, 2021, CHEMOSPHERE, V262, DOI 10.1016/j.chemosphere.2020.128248
   Nero BF, 2017, PROCEDIA ENGINEER, V198, P69, DOI 10.1016/j.proeng.2017.07.074
   Nowinska R, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126599
   Pearce-Higgins JW, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.1561
   Piao SL, 2019, GLOBAL CHANGE BIOL, V25, P1922, DOI 10.1111/gcb.14619
   Planchuelo G, 2019, LANDSCAPE URBAN PLAN, V189, P320, DOI 10.1016/j.landurbplan.2019.05.007
   plantarium, PLANTARIUM PLANTS LI
   Pozdnyakova Y, 2023, BIOSYST DIVERSITY, V31, P261, DOI 10.15421/012329
   Pozdnyakova Y., 2022, BIODIVERSITAS, V23, P4609, DOI [10.13057/biodiv/d230928, DOI 10.13057/biodiv/d230928]
   Quinton JM, 2020, URBAN FOR URBAN GREE, V48, DOI 10.1016/j.ufug.2019.126564
   Salgotra RK, 2023, GENES-BASEL, V14, DOI 10.3390/genes14010174
   Sallay A, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12061269
   Selivanov A.E., 2023, Vestn. Perm. Gos. Gumanit.-Pedagog. Univ. Ser. 2 Fiz.-Mat. i Estestv. Nauki, V1, P116
   Shcherbakov A.V., 2006, Flora Inventory and Herbarium Basics: Methodological Guidelines
   Shi SY, 2023, CATENA, V233, DOI 10.1016/j.catena.2023.107483
   Skobel N, 2023, BIODIVERS DATA J, V11, DOI 10.3897/BDJ.11.e99004
   Straka TM, 2022, LAND-BASEL, V11, DOI 10.3390/land11081237
   Stumpe B, 2024, SCI TOTAL ENVIRON, V934, DOI 10.1016/j.scitotenv.2024.173167
   Suggitt AJ, 2019, CURR BIOL, V29, P2905, DOI 10.1016/j.cub.2019.06.079
   Tretyakova A. S., 2016, Russian Journal of Biological Invasions, V7, P77, DOI 10.1134/S2075111716010100
   Ullah F, 2022, DIVERSITY-BASEL, V14, DOI 10.3390/d14090705
   Ureta C, 2022, GLOBAL CHANGE BIOL, V28, P6992, DOI 10.1111/gcb.16411
   Valieva R.I., 2023, Prospects for the Development of Science in the Modern World: Proceedings of the XII All-Russian Scientific Research Competition. In 2 Parts, Ufa, February 20, VVolume 1, P26
   Walusiak E, 2021, URBAN FOR URBAN GREE, V65, DOI 10.1016/j.ufug.2021.127358
   Weiskopf SR, 2020, SCI TOTAL ENVIRON, V733, DOI 10.1016/j.scitotenv.2020.137782
   White FJ, 2024, PLANT BIOLOGY, V26, P390, DOI 10.1111/plb.13630
   Wu YT, 2024, FRONT PLANT SCI, V15, DOI 10.3389/fpls.2024.1294895
   Yang LN, 2023, TRENDS PLANT SCI, V28, P519, DOI 10.1016/j.tplants.2022.12.011
   Yilmaz H, 2018, URBAN FOR URBAN GREE, V33, P92, DOI 10.1016/j.ufug.2017.10.011
NR 64
TC 0
Z9 0
U1 1
U2 1
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1424-2818
J9 DIVERSITY-BASEL
JI Diversity-Basel
PD NOV
PY 2024
VL 16
IS 11
AR 668
DI 10.3390/d16110668
PG 17
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA N4X5Z
UT WOS:001364389600001
OA gold
DA 2025-01-10
ER

PT J
AU Huang, HM
   Zhou, ZM
   Peng, DM
   Chu, JS
AF Huang, Huimin
   Zhou, Zhimin
   Peng, Daomin
   Chu, Jiansong
TI Potential impacts of climate change on cephalopods in a highly
   productive region (Northwest Pacific): Habitat suitability and
   management
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Cephalopods; Climate change; Species distribution models; Habitat
   suitability; Resource management; Northwest Pacific
ID ECOSYSTEM SERVICES; CHINA SEAS; SQUID; ENVIRONMENT; FISHERIES;
   PREDICTION; VULGARIS; PATTERNS; TRENDS
AB Cephalopods occupy a mid-trophic level in marine ecosystems and are vital both ecologically and as fishery resources. However, under the pressure of climate change and fishing, the sustainability of cephalopod resources requires reasonable management. This study aims to study climate change and fishing impacts on the common economic cephalopod species habitats using species distribution models. We take the northwest Pacific Ocean region as an example, which stands out as a significant region for cephalopod production around the world. Results found that the habitats of cephalopods are moving to higher latitudes or deeper waters (Bohai Sea, midbottom Yellow Sea, and the Okinawa Trough waters) under climate change. Additionally, these regions are currently under lower fishing pressure, which suggests that species migration might mitigate the effects of warming and fishing. This study provides the large-scale assessment of the distribution range of cephalopods affected by climate change coping with fishing pressure in the northwest Pacific Ocean. By identifying climate refuges , key fishing grounds, we underscore the importance of this information for managing cephalopod resources in the context of climate adaptation and sustainable fishing practices.
C1 [Huang, Huimin; Peng, Daomin; Chu, Jiansong] Ocean Univ China, Coll Marine Life Sci, Qingdao 266003, Peoples R China.
   [Zhou, Zhimin] Ocean Univ China, Coll Environm Sci & Engn, Qingdao 266003, Peoples R China.
   [Peng, Daomin] Univ British Columbia, Inst Oceans & Fisheries, Vancouver, BC V6T 1Z4, Canada.
C3 Ocean University of China; Ocean University of China; University of
   British Columbia
RP Peng, DM; Chu, JS (corresponding author), Ocean Univ China, Coll Marine Life Sci, Qingdao 266003, Peoples R China.; Peng, DM (corresponding author), Univ British Columbia, Inst Oceans & Fisheries, Vancouver, BC V6T 1Z4, Canada.
EM pengdm@yeah.net; oucjs@ouc.edu.cn
OI Peng, Daomin/0000-0003-2814-1350
FU National Natural Science Founda-tion of China [42176234]
FX This study was supported by the National Natural Science Founda-tion of
   China (No. 42176234) .
CR Albouy C, 2012, GLOBAL CHANGE BIOL, V18, P2995, DOI 10.1111/j.1365-2486.2012.02772.x
   [Anonymous], 2022, The State of World Fisheries and Aquaculture 2022. Towards Blue Transformation, DOI DOI 10.4060/CC0461-N
   Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Arkhipkin AI, 2003, J MOLLUS STUD, V69, P123, DOI 10.1093/mollus/69.2.123
   Arkhipkin AI, 2021, ICES J MAR SCI, V78, P714, DOI 10.1093/icesjms/fsaa038
   Assis J, 2024, GLOBAL ECOL BIOGEOGR, V33, DOI 10.1111/geb.13813
   Barbet-Massin M, 2012, METHODS ECOL EVOL, V3, P327, DOI 10.1111/j.2041-210X.2011.00172.x
   Barrio IC, 2016, GLOBAL ECOL BIOGEOGR, V25, P1108, DOI 10.1111/geb.12470
   Beaugrand G, 2019, NAT CLIM CHANGE, V9, P237, DOI 10.1038/s41558-019-0420-1
   Boavida-Portugal J, 2022, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.740781
   Borges FO, 2023, INTEGR COMP BIOL, V63, P1240, DOI 10.1093/icb/icad102
   Borges FO, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.1018766
   Brown JL, 2017, PEERJ, V5, DOI 10.7717/peerj.4095
   Burgess MG, 2023, ICES J MAR SCI, V80, P1163, DOI 10.1093/icesjms/fsad045
   Chen X.J., 2009, CEPHALOPODS WORLD
   Clarke MR, 1996, PHILOS T ROY SOC B, V351, P1105, DOI 10.1098/rstb.1996.0096
   Coll M, 2013, DEEP-SEA RES PT II, V95, P21, DOI 10.1016/j.dsr2.2012.08.020
   Colwell RK, 2009, P NATL ACAD SCI USA, V106, P19651, DOI 10.1073/pnas.0901650106
   [崔晏华 Cui Yanhua], 2023, [中国海洋大学学报. 自然科学版, Periodical of Ocean University of China], V53, P42
   De Vivo M, 2022, ECOL EVOL, V12, DOI 10.1002/ece3.9546
   Ding T., 2000, J. Zhejiang Ocean Univ. Nat. Sci., V19, P371, DOI [10.3969/j.issn.1008-830X.2000.04.014, DOI 10.3969/J.ISSN.1008-830X.2000.04.014]
   Dormann CF, 2013, ECOGRAPHY, V36, P27, DOI 10.1111/j.1600-0587.2012.07348.x
   Doubleday ZA, 2016, CURR BIOL, V26, pR406, DOI 10.1016/j.cub.2016.04.002
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   Elith J, 2009, ECOGRAPHY, V32, P66, DOI 10.1111/j.1600-0587.2008.05505.x
   Fan XW, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb051
   Friedman JH, 2001, ANN STAT, V29, P1189, DOI 10.1214/aos/1013203451
   Gidden MJ, 2019, GEOSCI MODEL DEV, V12, P1443, DOI 10.5194/gmd-12-1443-2019
   [龚彩霞 Gong Caixia], 2020, [中国水产科学, Journal of Fishery Sciences of China], V27, P336
   Guan B., 1984, OCEAN HYDRODYNAMICS, P1, DOI [10.1016/S0422-9894(08)70288-5, DOI 10.1016/S0422-9894(08)70288-5]
   Guerreiro MF, 2023, MAR BIOL, V170, DOI 10.1007/s00227-023-04310-4
   Guerreiro MF, 2023, MAR BIOL, V170, DOI 10.1007/s00227-023-04261-w
   Hijmans R., 2023, Raster: Geographic Data Analysis and Modeling.
   Hijmans R., 2023, dismo: Species Distribution Modeling
   Hijmans R. J., 2024, terra: Spatial Data Analysis (1.7-71) Computer software
   Hirzel AH, 2006, ECOL MODEL, V199, P142, DOI 10.1016/j.ecolmodel.2006.05.017
   Hu WJ, 2022, ECOL INDIC, V134, DOI 10.1016/j.ecolind.2021.108489
   HUTCHINSON GE, 1957, COLD SPRING HARB SYM, V22, P415, DOI 10.1101/SQB.1957.022.01.039
   Ibáñez CM, 2023, MAR BIOL, V170, DOI 10.1007/s00227-023-04286-1
   Ibáñez CM, 2019, J BIOGEOGR, V46, P1260, DOI 10.1111/jbi.13588
   Jiao NZ, 2015, ADV CLIM CHANG RES, V6, P118, DOI 10.1016/j.accre.2015.09.010
   Jones MC, 2015, ICES J MAR SCI, V72, P741, DOI 10.1093/icesjms/fsu172
   Kass JM, 2021, METHODS ECOL EVOL, V12, P1602, DOI 10.1111/2041-210X.13628
   Kroodsma DA, 2018, SCIENCE, V359, P904, DOI 10.1126/science.aao5646
   Laptikhovsky V, 2006, MAR ECOL-EVOL PERSP, V27, P7, DOI 10.1111/j.1439-0485.2006.00077.x
   Lauria V, 2016, MAR ENVIRON RES, V119, P252, DOI 10.1016/j.marenvres.2016.06.011
   Liaw A., 2022, randomForest: Breiman and Cutlers Random Forests for Classification and Regression (4.7-1.1) [Computer software]
   [林龙山 LIN Long-shan], 2009, [大连水产学院学报, Journal of Dalian Fisheries College], V24, P12
   Liu Yue, 2023, Dalian Haiyang Daxue Xuebao, V38, P1063
   NATSUKARI Y, 1992, J MAR BIOL ASSOC UK, V72, P271, DOI 10.1017/S0025315400037681
   Oey LY, 2013, GEOPHYS RES LETT, V40, P6288, DOI 10.1002/2013GL058202
   Ospina-Alvarez A, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-021-03777-9
   Pang YM, 2022, REG STUD MAR SCI, V53, DOI 10.1016/j.rsma.2022.102419
   Pang YM, 2018, FISH RES, V208, P22, DOI 10.1016/j.fishres.2018.07.004
   Pejchar L, 2009, TRENDS ECOL EVOL, V24, P497, DOI 10.1016/j.tree.2009.03.016
   Peng DM, 2019, T AM FISH SOC, V148, P260, DOI 10.1002/tafs.10077
   Phillips SJ, 2017, ECOGRAPHY, V40, P887, DOI 10.1111/ecog.03049
   Piatkowski U, 2001, FISH RES, V52, P5, DOI 10.1016/S0165-7836(01)00226-0
   Pierce GJ, 2003, FISH RES, V59, P305, DOI 10.1016/S0165-7836(02)00028-0
   Pierce GJ, 2008, HYDROBIOLOGIA, V612, P49, DOI 10.1007/s10750-008-9489-7
   Pimentel MS, 2012, MAR BIOL, V159, P2051, DOI 10.1007/s00227-012-1991-9
   Pinsky ML, 2013, SCIENCE, V341, P1239, DOI 10.1126/science.1239352
   Pita C, 2021, FISH RES, V235, DOI 10.1016/j.fishres.2020.105820
   Qin Tao, 2011, Oceanologia et Limnologia Sinica, V42, P124
   Repolho T, 2014, J COMP PHYSIOL B, V184, P55, DOI 10.1007/s00360-013-0783-y
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Ridgeway G., 2024, gbm: Generalized Boosted Regression Models [Computer software]
   Robin JP, 1999, J APPL ECOL, V36, P101, DOI 10.1046/j.1365-2664.1999.00384.x
   Rosa R, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1695
   Schickele A, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-83457-w
   Schickele A, 2020, ECOL MODEL, V416, DOI 10.1016/j.ecolmodel.2019.108902
   Stewart JS, 2013, DEEP-SEA RES PT II, V95, P197, DOI 10.1016/j.dsr2.2012.06.005
   Sun CZ, 2018, OCEAN COAST MANAGE, V161, P66, DOI 10.1016/j.ocecoaman.2018.04.022
   The Ministry of Agriculture and Rural Affairs, 2023, China Fishery Statistical Yearbook.
   Thuiller W, 2024, CURR BIOL, V34, pR225, DOI 10.1016/j.cub.2024.02.018
   Urbanek S., 2024, rJava: Low-Level R to Java Interface (Manual).
   Valavi R, 2023, GLOBAL ECOL BIOGEOGR, V32, P369, DOI 10.1111/geb.13639
   Valavi R, 2021, ECOGRAPHY, V44, P1731, DOI 10.1111/ecog.05615
   van der Kooij J, 2016, J BIOGEOGR, V43, P2285, DOI 10.1111/jbi.12847
   Welch H, 2024, SCI ADV, V10, DOI 10.1126/sciadv.adl5528
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Yang Linlin, 2023, Shengtaixue Zazhi, V42, P685, DOI 10.13292/j.1000-4890.202303.027
   Zhai YF, 2024, GLOBAL PLANET CHANGE, V239, DOI 10.1016/j.gloplacha.2024.104504
   Zhang KL, 2018, SCI TOTAL ENVIRON, V634, P1326, DOI 10.1016/j.scitotenv.2018.04.112
   Zhang KY, 2008, ENTOMOL SCI, V11, P269, DOI 10.1111/j.1479-8298.2008.00271.x
   Zhao QS, 2023, SCI TOTAL ENVIRON, V861, DOI 10.1016/j.scitotenv.2022.160505
   Zheng Y., 2003, Biological resources and environment of the continental shelf of the East China Sea
   Zhu YG, 2022, J OCEANOL LIMNOL, V40, P1544, DOI 10.1007/s00343-021-1126-6
NR 89
TC 0
Z9 0
U1 24
U2 24
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 NOV 25
PY 2024
VL 953
AR 175794
DI 10.1016/j.scitotenv.2024.175794
EA SEP 2024
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA G3G9U
UT WOS:001315569600001
PM 39233075
DA 2025-01-10
ER

PT J
AU Nicolini, E
AF Nicolini, Elvira
TI Energy Self-Sufficiency of Smaller Rural Centers: Experimental
   Approaches
SO BUILDINGS
LA English
DT Article
DE sustainable energy technologies; climate adaptation plan; urban
   regeneration; small towns and rural communities
AB Inland areas have been affected by demographic and economic decline over the past decades. New economic models, which are more focused on a humane quality of life, encourage a revival of these territories as newer, healthier places for living. This paper focuses on minor centers, rethought as energy communities and how these can sustain themselves and become new places of living. The first part of the research critically analyzes current strategies of SECAPs (Sustainable Energy and Climate Action Plans) in smaller historic urban centers. The second part of the paper starts with the typological, morphological, and technological interscalar analysis of two case studies, testing a repeatable expeditious knowledge collection and an intervention method on them. For urban environments, the hypothesized interventions include the management of energy production from renewable sources that are compatible with the presence and value of urban and built heritage; concerning rural territories, an agro-energy park is proposed. The document aims to provide a repeatable method for planning strategic actions within SECAPs in smaller urban centers with a high historical connotation. The case studies show that energy self-sufficiency can be an opportunity to valorize the urban center while favoring environmental sustainability and local development.
C1 [Nicolini, Elvira] Univ Palermo, Dept Architecture, I-90128 Palermo, Italy.
C3 University of Palermo
RP Nicolini, E (corresponding author), Univ Palermo, Dept Architecture, I-90128 Palermo, Italy.
EM elvira.nicolini@unipa.it
CR Alabiso D.A., 2014, Masters Thesis
   Bertoldi P., 2018, Guidebook How to Develop a Sustainable Energy and Climate Action Plan (SECAP)
   Cimilluca M.R., 2014, Masters Thesis
   ESPON, 2017, Shrinking Rural Regions in Europe. Towards Smart and Innovative Approaches to Regional Development Challenges in Depopulating Rural Regions, P1
   European Commission, 2019, Directive 2019/944 on Common Rules for the Internal Market for Electricity and Amending Directive 2012/27/EU, and Regulation (EU) 2022/869
   European Commission, 2021, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions Europes Media in the Digital Decade: An Action Plan to Support Recovery and Transformation
   European Commission, Covenant of Mayors Plans & Actions
   European Commission, 2022, Proposal for a Revised Urban Wastewater Treatment DirectiveDirectorate-General for Environment of European Comission
   European Commission, Covenant of Mayors-Europe.
   European Commission, 2021, Directive (EU) 2018/844 of the European Parliament and Council of 30 May 2018 Amending Directive 2010/31/EU on the Energy Performance of Buildings and Directive 2012/27/EU on Energy Efficiency
   Fiore P., 2019, Sustainable Strategies for the Valorization of Building, Landscape and Cultural Heritage in Inland Areas
   Grasso M., 1978, Lineamenti Stratigrafico-Strutturali delle MADONIE (Sicilia Centro-Settentrionale)
   Hennessy K., 2022, Ipcc sixth assessment report (ar6): Climate change 2022-impacts, adaptation and vulnerability: Regional factsheet australasia
   Italian Republic, 2022, Decreto del Presidente del Consiglio dei Ministri 16 Maggio 2022, Predisposizione del Piano Nazionale per la Riqualificazione dei Piccoli Comuni
   Italian Republic, 2022, Presidency of the Council of Ministries Conversione in Legge, con Modificazioni, del Decreto-Legge
   Italian Republic Italian Ministry of Culture, 2015, J. Technol. Archit. Environ, V12
   Italian Republic Ministry of the Environment and Energy Security, 2022, Investimento 1.2-Promozione Rinnovabili per le Comunita Energetiche e l'Auto-Consumo
   Jamoussi B, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610314
   Jin G, 2023, J GEOGR SCI, V33, P217, DOI 10.1007/s11442-023-2079-9
   Lesk C, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2123486119
   Lucatelli S., 2015, La Strategia Nazionale, il Riconoscimento delle Aree Interne, V2015
   Mam A., 2013, Recupero Valorizzazione Manutenzione nei Centri Storici, P250
   Mam A., 2020, BDC Boll. Cent. Calza Bini, V20, P317
   Municipality of Arcugnano (VI), 2023, PAESCPiano dAzione per lEnergia Sostenibile e il Clima con integrazione Programma Qualit dellAria (PQA)
   Municipality of Caraglio (CN), 2022, PAESCPiano dAzione per lEnergia Sostenibile e il Clima
   Municipality of Colceresa (VI), 2022, PAESCPiano dAzione per lEnergia Sostenibile e il Clima
   Municipality of Ponte di Piave (TV), 2022, PAESCPiano dAzione per lEnergia Sostenibile e il Clima
   Municipality of Racconigi (CN), 2023, PAESCPiano dAzione per lEnergia Sostenibile e il Clima
   Paniagua A., 2020, Handbook of Climate Change Management: Research, Leadership, Transformation, P1
   Pinzello I., 2015, Le Aree di Transizione Come Patrimonio Comune: Le Aree di Transizione Come Patrimonio Comune
   Reis IFG, 2021, RENEW SUST ENERG REV, V144, DOI 10.1016/j.rser.2021.111013
   Sicily Region, SECAP Platform
   Sicily Region Regional Division of Energy and Public Utility Services Regional Department of Energy, 2019, Promuovere la Sostenibilit Energetico-Ambientale nei Comuni Siciliani Attraverso il Patto dei Sindaci Programma di Ripartizione di Risorse ai Comuni della Sicilia per la Redazione del Piano di Azione per lEnergia Sostenibile e il Clima (PAESC)
   UNESCO, 2023, Urban Heritage for Resilience: Consolidated Results of the Implementation of the 2011 Recommendation on the Historic Urban Landscape 3rd Member States Consultation
   UNESCO and Ministry of Education Culture and Science of The Netherlands, 2021, P 10 ANN REC HIST UR
   Vitale Brovarone E., 2020, La Strategia Nazionale per le Aree Interne: Una Svolta Place-Based per le Politiche Regionali in Italia, P22
NR 36
TC 0
Z9 0
U1 1
U2 1
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2075-5309
J9 BUILDINGS-BASEL
JI BUILDINGS-BASEL
PD JUN
PY 2024
VL 14
IS 6
AR 1862
DI 10.3390/buildings14061862
PG 18
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA WK2C1
UT WOS:001254687900001
OA gold
DA 2025-01-10
ER

PT J
AU Huang, ZJ
   Zhao, WW
   Wang, CY
   Lu, YH
   Zhang, Y
AF Huang, Zhijia
   Zhao, Wenwen
   Wang, Chunyan
   Lu, Yuehong
   Zhang, Yang
TI Inheritance design of residence based on Huizhou traditional dwellings
SO JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING
LA English
DT Article; Early Access
DE Huizhou traditional dwellings; inheritance design; indoor environment;
   building envelopes
ID PERFORMANCE; OPTIMIZATION; COMFORT
AB Huizhou traditional dwellings have distinctive features such as climate adaptability and white walls and gray tiles. However, the building opening's size is small and poor insulation performance lead to non-uniformity of indoor illumination, wet and cold winters. This study aims to design a new Huizhou dwelling, taking the typical Huizhou traditional dwelling, Yuqing Hall, as the prototype, new Huizhou dwelling is designed to meet occupants' living needs and planning functional spaces while inheriting New Huizhou dwelling to the greatest extent. Then using DesignBuilder to simulate, and process the envelopes improvement scheme for indoor lighting and thermal environment that don't meet the standards. The results showed: There is a gap between the indoor lighting and thermal environment of the preliminary design and the standards, while introduces the light from the stairs into the living room or changes the window size to make the indoor light meet the standards, the wall material of the new Huizhou dwelling uses KPI porous bricks, the roof with air layer and insulation layer and add attic can improve the indoor thermal environment. The results of this study can be used as a reference object when renovating traditional dwellings and designing occupants' dwellings.
C1 [Huang, Zhijia; Zhao, Wenwen; Lu, Yuehong] Anhui Univ Technol, Sch Civil Engn & Architecture, Maanshan, Peoples R China.
   [Wang, Chunyan] Anhui Wantou Real Estate Co Ltd, Res & Dev Dept, Hefei, Peoples R China.
   [Zhang, Yang] Anhui Univ Technol, Sch Met Engn, Maanshan, Peoples R China.
   [Huang, Zhijia] Anhui Univ Technol, Sch Civil Engn & Architecture, Maanshan 243002, Peoples R China.
C3 Anhui University of Technology; Anhui University of Technology; Anhui
   University of Technology
RP Huang, ZJ (corresponding author), Anhui Univ Technol, Sch Civil Engn & Architecture, Maanshan 243002, Peoples R China.
EM jzjnyjs@163.com
RI Lu, Yuehong/Z-2352-2019; Zhao, Wenwen/AAO-6776-2021
FU National Natural Science Foundation of China [51478001]
FX The work was funded by the National Natural Science Foundation of China
   [No. 51478001
CR Acar U, 2021, J BUILD ENG, V42, DOI 10.1016/j.jobe.2021.102499
   [Anonymous], 2010, Lighting for the Outdoor Built Environment OBE 1.2-Lighting for Public Activity Areas, P126
   Bian MY, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14095694
   Cui YQ, 2011, APPL MECH MATER, V99-100, P644, DOI 10.4028/www.scientific.net/AMM.99-100.644
   DB34/1466-2011, 2011, energy-Saving Design Standards for Residential Buildings in Anhui Province
   Dong W. J., 2014, Journal of Harbin Institute of Technology, P4
   Gao R, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13030583
   GB/T50033-2013, 2013, building Lighting Design Standards
   Huang JE, 2021, ENERG BUILDINGS, V247, DOI 10.1016/j.enbuild.2021.111103
   Huang ZJ, 2019, IOP C SER EARTH ENV, V238, DOI 10.1088/1755-1315/238/1/012007
   Huang ZJ, 2017, PROCEDIA ENGINEER, V205, P1439, DOI 10.1016/j.proeng.2017.10.350
   Huang ZJ, 2017, PROCEDIA ENGINEER, V205, P1316, DOI 10.1016/j.proeng.2017.10.092
   Huang ZJ, 2017, PROCEDIA ENGINEER, V205, P1350, DOI 10.1016/j.proeng.2017.10.121
   Ihm P, 2012, BUILD ENVIRON, V58, P81, DOI 10.1016/j.buildenv.2012.06.012
   Jaber S, 2011, ENERG BUILDINGS, V43, P1829, DOI 10.1016/j.enbuild.2011.03.024
   Johnson G., 2009, The Construction Specifier, V62
   Kennedy SD, 2010, ASHRAE J, V52, pS22
   Lee H, 2020, BUILD ENVIRON, V185, DOI 10.1016/j.buildenv.2020.107241
   Li L. P., 2014, Applied Mechanics & Materials, V584, P301, DOI [10.4028/www.scientific.net/AMM.584-586.301, DOI 10.4028/WWW.SCIENTIFIC.NET/AMM.584-586.301]
   Lin BR, 2004, ENERG BUILDINGS, V36, P73, DOI 10.1016/S0378-7788(03)00090-2
   Liu JP, 2011, BUILD ENVIRON, V46, P1709, DOI 10.1016/j.buildenv.2011.02.012
   Calama-González CM, 2021, J BUILD ENG, V43, DOI 10.1016/j.jobe.2021.103148
   Nasrollahzadeh N, 2021, J BUILD ENG, V44, DOI 10.1016/j.jobe.2021.103418
   Nematchoua MK, 2017, J BUILD ENG, V13, P196, DOI 10.1016/j.jobe.2017.07.014
   Osborne D., 2008, Canadian Veterinary Journal, P413, DOI [10.1111/j.1751/0813.2008.00260.x, DOI 10.1111/J.1751/0813.2008.00260.X]
   Pitts A, 2014, BUILDINGS, V4, P823, DOI 10.3390/buildings4040823
   Seike T, 2018, J ASIAN ARCHIT BUILD, V17, P441, DOI 10.3130/jaabe.17.441
   Soflaei F, 2020, J BUILD ENG, V31, DOI 10.1016/j.jobe.2020.101335
   Sun QQ, 2022, J ASIAN ARCHIT BUILD, V21, P1381, DOI 10.1080/13467581.2021.1941990
   Wang H, 2016, J ASIAN ARCHIT BUILD, V15, P139, DOI 10.3130/jaabe.15.139
   Xu JH, 2013, ADV MATER RES-SWITZ, V753-755, P529, DOI 10.4028/www.scientific.net/AMR.753-755.529
   Yang W, 2019, BUILD ENVIRON, V148, P623, DOI 10.1016/j.buildenv.2018.11.040
   Zhong J, 2013, APPL MECH MATER, V253-255, P635, DOI 10.4028/www.scientific.net/AMM.253-255.635
   Zhou N., 2002, Journal of Asian Architecture and Building Engineering, V1, P81, DOI [10.3130/jaabe.1.81, DOI 10.3130/JAABE.1.81]
   Zhu XR, 2014, ENERG BUILDINGS, V70, P159, DOI 10.1016/j.enbuild.2013.11.050
NR 35
TC 1
Z9 1
U1 16
U2 35
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1346-7581
EI 1347-2852
J9 J ASIAN ARCHIT BUILD
JI J. Asian Archit. Build. Eng.
PD 2024 JAN 8
PY 2024
DI 10.1080/13467581.2023.2299719
EA JAN 2024
PG 16
WC Architecture; Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Architecture; Construction & Building Technology
GA EE9M0
UT WOS:001137361500001
OA gold
DA 2025-01-10
ER

PT J
AU Wu, SH
   Cossio, G
   Braun, B
   Wu, FCM
   Yu, ET
AF Wu, Shang-Hsuan
   Cossio, Gabriel
   Braun, Benjamin
   Wu, Frances Camille M.
   Yu, Edward T.
TI Smart Window Structures Based on Highly Conductive, Transparent Metal
   Nanomeshes and Thermochromic Perovskite Films
SO ADVANCED OPTICAL MATERIALS
LA English
DT Article
DE metal mesh; nanosphere lithography; smart windows; thermochromic
   perovskite; transparent conductive electrodes
ID COLLOIDAL PHOTONIC CRYSTALS
AB Smart windows are energy-efficient windows whose optical transparency can be switched between highly transparent and opaque states in response to incident solar illumination. Transparent and conductive metal nanomesh (NM) films are promising candidates for thermochromic smart windows due to their excellent thermal conductivity, high optical transparency at near infrared wavelengths, and outstanding stability. In this study, ZnO/Au/Al2O3 NM films with periodicities of 200 and 370 nm are reported. The ZnO/Au/Al2O3 NM film with a 370 nm periodicity exhibits a transmittance over 90% at 550 nm and sheet resistance lower than 20 ohm sq(-1). Based on a standard figure of merit, this structure outperforms current state-of-the-art NM films. Here, the integration of ZnO/Au/Al2O3 NM films into a thermochromic perovskite smart window is also demonstrated. The transparency of the smart window structure is manipulated by transient resistive heating to trigger the thermochromic transition to the opaque state, which can be then maintained solely by 1-sun, AM 1.5 G illumination. This climate-adaptive, low power-activated, and fast-switching smart window structure opens new pathways toward its practical application in the real world.
C1 [Wu, Shang-Hsuan; Cossio, Gabriel; Braun, Benjamin; Wu, Frances Camille M.; Yu, Edward T.] Univ Texas Austin, Microelect Res Ctr, Dept Elect & Comp Engn, Austin, TX 78758 USA.
C3 University of Texas System; University of Texas Austin
RP Yu, ET (corresponding author), Univ Texas Austin, Microelect Res Ctr, Dept Elect & Comp Engn, Austin, TX 78758 USA.
EM ety@ece.utexas.edu
OI WU, SHANG-HSUAN/0000-0001-9934-7765; Wu, Frances Camille
   Masim/0000-0002-8114-203X
FU National Science Foundation [DMR-1720595]; NSF [CBET-2109842]; National
   Science Foundation [ECCS-2025227]
FX This work was partially supported by the National Science Foundation
   through the Center for Dynamics and Control of Materials: an NSF MRSEC
   under Cooperative Agreement No. DMR-1720595 and by NSF Award No.
   CBET-2109842. This work was performed in part at the University of Texas
   Microelectronics Research Center, a member of the National
   Nanotechnology Coordinated Infrastructure (NNCI), which is supported by
   the National Science Foundation (grant ECCS-2025227).
CR Aguilar O, 2019, OPT MATER EXPRESS, V9, P3638, DOI 10.1364/OME.9.003638
   Akinoglu EM, 2014, LANGMUIR, V30, P12354, DOI 10.1021/la500003u
   Anand A, 2021, ADV ENERGY MATER, V11, DOI 10.1002/aenm.202100875
   Bi YG, 2019, ADV OPT MATER, V7, DOI 10.1002/adom.201800778
   Bley K, 2018, ADV FUNCT MATER, V28, DOI 10.1002/adfm.201706965
   Boidin R, 2016, CERAM INT, V42, P1177, DOI 10.1016/j.ceramint.2015.09.048
   Carvill J., 1993, MECH ENG DATA HDB, P146, DOI DOI 10.1016/B978-0-08-051135-1.50009-1
   Celle C, 2012, NANO RES, V5, P427, DOI 10.1007/s12274-012-0225-2
   Chang HX, 2010, ADV FUNCT MATER, V20, P2893, DOI 10.1002/adfm.201000900
   Chen DZ, 2019, NANOMATERIALS-BASEL, V9, DOI 10.3390/nano9070932
   Chen T, 2022, ADV ENERG SUST RES, V3, DOI 10.1002/aesr.202100218
   Cossio G, 2020, NANO LETT, V20, P5090, DOI 10.1021/acs.nanolett.0c01277
   De Bastiani M, 2017, CHEM MATER, V29, P3367, DOI 10.1021/acs.chemmater.6b05112
   De S, 2009, ACS NANO, V3, P1767, DOI 10.1021/nn900348c
   Dressel M., 2002, Electrodynamics of Solids: Optical Properties of Electrons in Matter
   Foo S, 2022, INT J ENERG RES, V46, P21441, DOI 10.1002/er.7958
   Gao PQ, 2015, NANO LETT, V15, P4591, DOI 10.1021/acs.nanolett.5b01202
   Halder A, 2015, J PHYS CHEM LETT, V6, P3180, DOI 10.1021/acs.jpclett.5b01426
   Hecht DS, 2011, ADV MATER, V23, P1482, DOI 10.1002/adma.201003188
   Hedayati MK, 2016, MATERIALS, V9, DOI 10.3390/ma9060497
   Hu L, 2004, NANO LETT, V4, P2513, DOI 10.1021/nl048435y
   Kvavle J, 2009, APPL OPTICS, V48, P5280, DOI 10.1364/AO.48.005280
   Lee HB, 2019, J MATER CHEM C, V7, P1087, DOI 10.1039/c8tc04423f
   Lee SW, 2016, SCI REP-UK, V6, DOI 10.1038/srep38150
   Leijtens Tomas, 2013, Nature Communications, V4, DOI 10.1038/ncomms3885
   Lin J, 2018, NAT MATER, V17, P261, DOI 10.1038/s41563-017-0006-0
   Liu S, 2022, ADV SCI, V9, DOI 10.1002/advs.202106090
   Liu S, 2021, ADV FUNCT MATER, V31, DOI 10.1002/adfm.202010426
   Long LS, 2014, SCI REP-UK, V4, DOI 10.1038/srep06427
   Lu X, 2021, ADV ELECTRON MATER, V7, DOI 10.1002/aelm.202001121
   Papanastasiou DT, 2020, ADV FUNCT MATER, V30, DOI 10.1002/adfm.201910225
   Parchine M, 2018, SOL ENERG MAT SOL C, V185, P158, DOI 10.1016/j.solmat.2018.05.026
   Parchine M, 2016, LANGMUIR, V32, P5862, DOI 10.1021/acs.langmuir.6b01242
   Qiu TF, 2022, ADV MATER, V34, DOI 10.1002/adma.202103842
   Qiu TF, 2020, ADV FUNCT MATER, V30, DOI 10.1002/adfm.202002556
   Qiu TF, 2017, PART PART SYST CHAR, V34, DOI 10.1002/ppsc.201600262
   Qiu TF, 2016, ACS APPL MATER INTER, V8, P22768, DOI 10.1021/acsami.6b08173
   Rosales BA, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19009-z
   Shlenskaya NN, 2018, J MATER CHEM A, V6, P1780, DOI 10.1039/c7ta10217h
   Spalla M, 2019, ACS APPL ENERG MATER, V2, P7183, DOI 10.1021/acsaem.9b01160
   Stelling C, 2017, SCI REP-UK, V7, DOI 10.1038/srep42530
   Veeramuthu L, 2019, RSC ADV, V9, P35786, DOI 10.1039/c9ra06508c
   Wang L, 2018, SCI TECHNOL ADV MAT, V19, P791, DOI 10.1080/14686996.2018.1534072
   Wang SC, 2021, NANO ENERGY, V89, DOI 10.1016/j.nanoen.2021.106440
   Wang Z, 2022, ADV OPT MATER, V10, DOI 10.1002/adom.202101822
   Wu SH, 2018, J PHYS CHEM C, V122, P236, DOI 10.1021/acs.jpcc.7b11245
   Yakubovsky DI, 2019, ADV MATER INTERFACES, V6, DOI 10.1002/admi.201900196
   Zhang CF, 2017, ADV MATER, V29, DOI 10.1002/adma.201702678
   Zhang TR, 2022, APPL PHYS LETT, V120, DOI 10.1063/5.0079505
   Zhang Y, 2019, APPL ENERG, V254, DOI 10.1016/j.apenergy.2019.113690
NR 50
TC 16
Z9 16
U1 18
U2 109
PU WILEY-V C H VERLAG GMBH
PI WEINHEIM
PA POSTFACH 101161, 69451 WEINHEIM, GERMANY
SN 2195-1071
J9 ADV OPT MATER
JI Adv. Opt. Mater.
PD MAR
PY 2023
VL 11
IS 6
DI 10.1002/adom.202202409
EA JAN 2023
PG 10
WC Materials Science, Multidisciplinary; Optics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Materials Science; Optics
GA F6JM8
UT WOS:000915767500001
OA Bronze
DA 2025-01-10
ER

PT J
AU Urfels, A
   Montes, C
   Balwinder-Singh
   van Halsema, G
   Struik, PC
   Krupnik, TJ
   McDonald, AJ
AF Urfels, Anton
   Montes, Carlo
   Balwinder-Singh, Gerardo
   van Halsema, Gerardo
   Struik, Paul C.
   Krupnik, Timothy J.
   McDonald, Andrew J.
TI Climate adaptive rice planting strategies diverge across environmental
   gradients in the Indo-Gangetic Plains
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE monsoon; smallholder farmers; abiotic stress; climate resilience;
   systems analysis; APSIM; multi-cropping systems
ID CROPPING SYSTEMS; HIGH-TEMPERATURE; ADAPTATION; WHEAT; YIELD;
   PRODUCTIVITY; AGRICULTURE; IMPACTS; DATES
AB The timing of rice planting has a profound influence on the productivity of the rice-wheat cropping pattern in the Indo-Gangetic Plains (IGP), a system that provides the foundation for food security in South Asia. Nevertheless, strategies for adaptive rice planting in a rapidly changing climate are not well established. In this ex-ante analysis, regional gridded crop model simulations are deployed to investigate the impact of different rice planting strategies on system level productivity, resilience, and environmental benefits. Our results suggest that synchronizing rice planting dates with the monsoon onset substantially outperforms farmer practice (+41%) and static state recommendations in the Eastern IGP. However, planting long-duration rice with the monsoon onset is ineffective in the Northwestern IGP since the later arrival of the monsoon increases the probability of cold damage to rice and terminal heat stress in wheat. Here, fixed planting dates (+12.5%) or planting medium duration varieties at monsoon onset (+18%) performed best. We conclude that resilient and productive rice planting strategies must account for interannual weather variability and divergent climate conditions across sub-regions in the IGP.
C1 [Urfels, Anton] Int Maize & Wheat Improvement Ctr CIMMYT, Kathmandu, Nepal.
   [Urfels, Anton; van Halsema, Gerardo] Wageningen Univ & Res, Water Resources Management Grp, Wageningen, Netherlands.
   [Urfels, Anton; Struik, Paul C.] Wageningen Univ & Res, Ctr Crop Syst Anal, Wageningen, Netherlands.
   [Montes, Carlo] Int Maize & Wheat Improvement Ctr CIMMYT, Texcoco, Mexico.
   [Balwinder-Singh, Gerardo] Int Maize & Wheat Improvement Ctr CIMMYT, New Delhi, India.
   [Krupnik, Timothy J.] Int Maize & Wheat Improvement Ctr CIMMYT, Dhaka, Bangladesh.
   [McDonald, Andrew J.] Cornell Univ, Sch Integrat Plant Sci, Sect Soil & Crop Sci, Ithaca, NY USA.
   [Balwinder-Singh, Gerardo] Govt Western Australia, Dept Primary Ind & Reg Dev, Northam, WA 6401, Australia.
C3 CGIAR; International Maize & Wheat Improvement Center (CIMMYT);
   Wageningen University & Research; Wageningen University & Research;
   CGIAR; International Maize & Wheat Improvement Center (CIMMYT); CGIAR;
   International Maize & Wheat Improvement Center (CIMMYT); CGIAR;
   International Maize & Wheat Improvement Center (CIMMYT); Cornell
   University; Department of Primary Industries & Regional Development NSW
RP Urfels, A (corresponding author), Int Maize & Wheat Improvement Ctr CIMMYT, Kathmandu, Nepal.; Urfels, A (corresponding author), Wageningen Univ & Res, Water Resources Management Grp, Wageningen, Netherlands.; Urfels, A (corresponding author), Wageningen Univ & Res, Ctr Crop Syst Anal, Wageningen, Netherlands.
EM anton.urfels@wur.nl
RI van halsema, gerardo/B-7062-2015; Krupnik, Timothy/J-6363-2019; Montes,
   Carlo/B-6727-2013; Singh, Balwinder/R-9998-2019; ,
   Balwinder-Singh/F-3063-2011
OI Urfels, Anton/0000-0003-2920-8721; ,
   Balwinder-Singh/0000-0002-6715-2207; Montes, Carlo/0000-0003-4828-5589
FU United States Agency for International Development (USAID); Bill and
   Melinda Gates Foundation (BMGF) [INV-029117]; CGIAR Research Program on
   Climate Change, Agriculture, and Food Security (CCAFS); CGIAR Fund
   Donors; CGIAR Regional Integrated Initiative Transforming Agrifood
   Systems in South Asia; Bill and Melinda Gates Foundation [INV-029117]
   Funding Source: Bill and Melinda Gates Foundation
FX We thank D Gaydon, P A J van Oort, and P Craufurd for their feedback and
   discussions on parameterizing the model and D Kelly, P deVoil, and J A
   Campos for their support in installing the simulation framework. This
   study was conducted as part of the Cereal Systems Initiative for South
   Asia (CSISA; http://csisa.org/) project supported by the United States
   Agency for International Development (USAID), Bill and Melinda Gates
   Foundation (BMGF; Grant No: INV-029117), with the support of the CGIAR
   Regional Integrated Initiative Transforming Agrifood Systems in South
   Asia (TAFSSA;
   www.cgiar.org/initiative/20-transforming-agrifood-systems-insouth-asia-t
   afssa/), and the CGIAR Research Program on Climate Change, Agriculture,
   and Food Security (CCAFS) under the project Big Data for Climate Smart
   Agriculture CCAFS' work is supported by CGIAR Fund Donors and through
   bilateral funding agreements. For details, please visit
   https://ccafs.cgiar.org/donors. The content and opinions expressed in
   this paper are those of the authors and do not necessarily reflect the
   views of USAID, the BMGF, or CCAFAS's and TAFSSA's supporters.Author
   contributionsA U, C M, B S, and A J M jointly conceived of the study.
   All authors contributed to the implementation, analytics, and manuscript
   writing.Conflict of interestThe authors declare no competing
   interests.Ethics statementThis research did not include human subjects,
   human data or tissue, or animals.
CR Allen CR, 2019, NAT SUSTAIN, V2, P898, DOI 10.1038/s41893-019-0401-4
   Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/nclimate2470, 10.1038/NCLIMATE2470]
   Azzari G, 2017, REMOTE SENS ENVIRON, V202, P129, DOI 10.1016/j.rse.2017.04.014
   Balwinder-Singh, 2019, NAT SUSTAIN, V2, P580, DOI 10.1038/s41893-019-0304-4
   Balwinder-Singh, 2019, FIELD CROP RES, V239, P92, DOI 10.1016/j.fcr.2019.05.014
   Balwinder-Singh, 2016, FIELD CROP RES, V197, P83, DOI 10.1016/j.fcr.2016.08.016
   Balwinder-Singh, 2011, FIELD CROP RES, V124, P1, DOI 10.1016/j.fcr.2011.04.016
   Bouman BAM, 2001, AGR WATER MANAGE, V49, P11, DOI 10.1016/S0378-3774(00)00128-1
   Debnath S, 2018, PADDY WATER ENVIRON, V16, P601, DOI 10.1007/s10333-018-0653-z
   DeFries R, 2015, SCIENCE, V349, P238, DOI 10.1126/science.aaa5766
   Devkota KP, 2021, AGR SYST, V192, DOI 10.1016/j.agsy.2021.103182
   Dubey R, 2020, AGR SYST, V181, DOI 10.1016/j.agsy.2020.102826
   Elliott J, 2014, ENVIRON MODELL SOFTW, V62, P509, DOI 10.1016/j.envsoft.2014.04.008
   Erenstein O, 2010, APPL GEOGR, V30, P112, DOI 10.1016/j.apgeog.2009.05.001
   Famiglietti JS, 2014, NAT CLIM CHANGE, V4, P945, DOI 10.1038/nclimate2425
   FAO, 2021, NUTR FACT
   Gaydon DS, 2017, FIELD CROP RES, V204, P52, DOI 10.1016/j.fcr.2016.12.015
   Hayashi K, 2018, AGR SYST, V162, P66, DOI 10.1016/j.agsy.2018.01.007
   Humphreys E, 2010, ADV AGRON, V109, P155, DOI 10.1016/S0065-2113(10)09005-X
   Hunt JR, 2019, NAT CLIM CHANGE, V9, P244, DOI 10.1038/s41558-019-0417-9
   Iizumi T, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0433-7
   Iizumi T, 2019, J ADV MODEL EARTH SY, V11, P99, DOI 10.1029/2018MS001477
   Ishtiaque A, 2022, SCI TOTAL ENVIRON, V807, DOI 10.1016/j.scitotenv.2021.151671
   Jagadish KSV, 2014, ADV AGRON, V127, P111, DOI 10.1016/B978-0-12-800131-8.00003-0
   Jain M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8228
   Jian YW, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67429-0
   Jin QJ, 2017, NAT CLIM CHANGE, V7, P587, DOI [10.1038/nclimate3348, 10.1038/NCLIMATE3348]
   Kitoh A, 2013, J GEOPHYS RES-ATMOS, V118, P3053, DOI 10.1002/jgrd.50258
   Laborte Alice G, 2017, HarvardDataverse, V3, DOI 10.7910/DVN/JE6R2R
   Lobell DB, 2012, PLANT PHYSIOL, V160, P1686, DOI 10.1104/pp.112.208298
   Lv ZF, 2020, MITIG ADAPT STRAT GL, V25, P87, DOI 10.1007/s11027-019-09861-w
   Mathison C, 2018, EARTH SYST DYNAM, V9, P563, DOI 10.5194/esd-9-563-2018
   McDonald AJ, 2022, NAT FOOD, V3, P542, DOI 10.1038/s43016-022-00549-0
   Mishra A, 2013, SCI TOTAL ENVIRON, V468, pS132, DOI 10.1016/j.scitotenv.2013.05.080
   MoA, 2021, MINISTRY AGR FARMERS
   Mondal S, 2013, FIELD CROP RES, V151, P19, DOI 10.1016/j.fcr.2013.06.015
   Monfreda C, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002947
   Mourtzinis S, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-38971-3
   Newport D, 2020, WEATHER CLIM SOC, V12, P515, DOI 10.1175/WCAS-D-19-0122.1
   Nouri M, 2017, AGR WATER MANAGE, V186, P108, DOI 10.1016/j.agwat.2017.03.004
   Pérez I, 2016, GLOBAL ENVIRON CHANG, V40, P82, DOI 10.1016/j.gloenvcha.2016.07.005
   Perry C, 2009, AGR WATER MANAGE, V96, P1517, DOI 10.1016/j.agwat.2009.05.005
   Rawal V., 2019, Economic Political Weekly, V54, P35
   Ray DK, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms2296
   Rippke U, 2016, NAT CLIM CHANGE, V6, P605, DOI [10.1038/nclimate2947, 10.1038/NCLIMATE2947]
   Rockström J, 2017, AMBIO, V46, P4, DOI 10.1007/s13280-016-0793-6
   Rodell M, 2009, NATURE, V460, P999, DOI 10.1038/nature08238
   Sacks WJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P607, DOI 10.1111/j.1466-8238.2010.00551.x
   Shah T, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae53f
   Shangguan W, 2014, J ADV MODEL EARTH SY, V6, P249, DOI 10.1002/2013MS000293
   Singh AK., 2020, INT MAIZE WHEAT IMPR
   Takaya Y, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22299-6
   Trnka M, 2011, GLOBAL CHANGE BIOL, V17, P2298, DOI 10.1111/j.1365-2486.2011.02396.x
   Urfels A, 2021, AGRON SUSTAIN DEV, V41, DOI 10.1007/s13593-021-00668-1
   van Oort PAJ, 2018, GLOBAL CHANGE BIOL, V24, P1029, DOI 10.1111/gcb.13967
   Waha K, 2013, GLOBAL ENVIRON CHANG, V23, P130, DOI 10.1016/j.gloenvcha.2012.11.001
   Willett W, 2019, LANCET, V393, P447, DOI 10.1016/S0140-6736(18)31788-4
   Yu QY, 2020, EARTH SYST SCI DATA, V12, P3545, DOI 10.5194/essd-12-3545-2020
   ,, 2020, The state of food security and nutrition in the world 2020: transforming food systems for affordable healthy diets, DOI 10.4060/ca9692en
NR 59
TC 5
Z9 5
U1 3
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 DEC 1
PY 2022
VL 17
IS 12
AR 124030
DI 10.1088/1748-9326/aca5a2
PG 12
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 6U0NJ
UT WOS:000894067500001
OA gold
DA 2025-01-10
ER

PT J
AU Loureiro, ML
   Alló, M
AF Loureiro, Maria L.
   Allo, Maria
TI How has the COVID-19 pandemic affected the climate change debate on
   Twitter?
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate change; COVID-19; Public bads; Social norms; Twitter
ID BEHAVIORAL ECONOMICS; IMPURE ALTRUISM; PUBLIC-GOODS; MEDIA
AB Climate change and the COVID-19 pandemic share many similarities. However, in the past months, concerns have increased about the fact the health emergency has put on hold during the pandemic many climate adaptation and mitigation policies. We focus our attention on understanding the role of the recent health emergency on the transmission of information related to climate change, jointly with other socio-economic variables, social norms, and cultural dimensions. In doing so, we create a unique dataset containing the number of tweets written with specific climate related keywords per country worldwide, as well as country specific socio-economic characteristics, relevant social norms, and cultural variables. We find that socio-economic variables, such as income, education, and other risk-related variables matter in the transmission of information about climate change and Twitter activity. We also find that the COVID-19 pandemic has significantly decreased the overall number of messages written about climate change, postponing the climate debate worldwide; but particularly in some vulnerable countries. This shows that in spite of the existing climate emergency, the current pandemic has had a detrimental effect over the short-term planning of climate policies in countries where climate action is urgent.
C1 [Loureiro, Maria L.] Univ Santiago de Compostela, ECOBAS, Santiago De Compostela, Spain.
   [Allo, Maria] Univ A Coruna, La Coruna, Spain.
C3 Universidade de Santiago de Compostela; Universidade da Coruna
RP Loureiro, ML (corresponding author), Univ Santiago de Compostela, ECOBAS, Santiago De Compostela, Spain.
EM maria.loureiro@usc.es
RI Alló, Maria/GLV-5840-2022; Loureiro, Maria/Q-2384-2015; Allo,
   Maria/E-9244-2015
OI Loureiro, Maria/0000-0002-7082-3980; Allo, Maria/0000-0003-1389-7235
FU Spanish Agency of Research (Agencia Estatal de Investigacion)
   [PID2019-111255RB-100]
FX Both authors thank the editor (James Butler) and the anonymous reviewers
   for their comments and suggestions. Authors acknowledge financial
   support from Spanish Agency of Research (Agencia Estatal de
   Investigacion) . Grant number "PID2019-111255RB-100".
CR Anderson LR, 2004, AM ECON REV, V94, P373, DOI 10.1257/0002828041302082
   ANDREONI J, 1989, J POLIT ECON, V97, P1447, DOI 10.1086/261662
   ANDREONI J, 1990, ECON J, V100, P464, DOI 10.2307/2234133
   [Anonymous], 2020, GLOBAL PREFERENCE SU
   [Anonymous], 2020, WAV 7 2017 2020
   Bardsley N, 2005, J ECON PSYCHOL, V26, P664, DOI 10.1016/j.joep.2005.02.001
   Brekke KA, 2008, OXFORD REV ECON POL, V24, P280, DOI 10.1093/oxrep/grn012
   Cason TN, 2002, EXP ECON, V5, P133, DOI 10.1023/A:1020317321607
   Cody EM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0136092
   Columbia Climate School, 2020, COVID 19 S LONG TERM
   Cookson R., 2000, Experimental Economics, V3, P55, DOI 10.1007/BF01669207
   European Centre for Disease Prevention and Control, SIT UPD COVID 19 INF
   Falk A, 2018, Q J ECON, V133, P1645, DOI 10.1093/qje/qjy013
   Fong CM, 2009, AM ECON J-APPL ECON, V1, P64, DOI 10.1257/app.1.2.64
   Fuentes R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208560
   German Council of Economic Experts, 2020, EC OUTL COR PAND
   Gowdy JM, 2008, J ECON BEHAV ORGAN, V68, P632, DOI 10.1016/j.jebo.2008.06.011
   Hoffman AJ, 2011, ORGAN ENVIRON, V24, P3, DOI 10.1177/1086026611404336
   Holmberg K, 2015, INTERNET RES, V25, P811, DOI 10.1108/IntR-07-2014-0179
   IEA, 2020, IMP COV 19 CRIS CLEA
   Jacques PJ, 2016, ENVIRON POLIT, V25, P831, DOI 10.1080/09644016.2016.1189233
   Kirilenko AP, 2015, GLOBAL ENVIRON CHANG, V30, P92, DOI 10.1016/j.gloenvcha.2014.11.003
   Kirilenko AP, 2014, GLOBAL ENVIRON CHANG, V26, P171, DOI 10.1016/j.gloenvcha.2014.02.008
   Klenert D, 2020, ENVIRON RESOUR ECON, V76, P751, DOI 10.1007/s10640-020-00453-w
   Kryvasheyeu Y, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500779
   Loureiro ML, 2020, ENERG POLICY, V143, DOI 10.1016/j.enpol.2020.111490
   Manzanedo RD, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140563
   Maynard D, 2015, ENVIROINFO ICT SUSTA
   McCright AM, 2016, ENVIRON POLIT, V25, P338, DOI 10.1080/09644016.2015.1090371
   Oberlo, 2021, TWITT STAT
   OECD, 2020, STATISTICS
   Ostrom Elinor., 2000, SWISS POLIT SCI REV, V6, P29, DOI [DOI 10.1002/J.1662-6370.2000.TB00285.X, 10.1002/j.1662-6370.2000.tb00285.x]
   Rosenbloom D, 2020, SCIENCE, V368, P447, DOI 10.1126/science.abc4887
   Roxburgh N, 2019, GLOBAL ENVIRON CHANG, V54, P50, DOI 10.1016/j.gloenvcha.2018.11.004
   Santamaría L, 2018, PEERJ COMPUT SCI, DOI 10.7717/peerj-cs.156
   Sisco MR, 2017, CLIMATIC CHANGE, V143, P227, DOI 10.1007/s10584-017-1984-2
   Stenchikov G., 2016, The role of volcanic activity in climate and global change, V2nd ed., DOI [10.1016/B978-0-444-63524-2.00026-9, DOI 10.1016/B978-0-444-63524-2.00026-9]
   Vale MM, 2021, BIOL CONSERV, V255, DOI 10.1016/j.biocon.2021.108994
NR 38
TC 19
Z9 19
U1 2
U2 22
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 OCT
PY 2021
VL 124
BP 451
EP 460
DI 10.1016/j.envsci.2021.07.011
EA JUL 2021
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA UK2IQ
UT WOS:000691798900008
PM 36569520
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Stovring, J
   Dam, T
   Jensen, MB
AF Stovring, Jan
   Dam, Torben
   Jensen, Marina Bergen
TI Hydraulic Performance of Lined Permeable Pavement Systems in the Built
   Environment
SO WATER
LA English
DT Article
DE climate adaptation; detention; retention; SCM; storage capacity; storm
   water; SUDS
ID QUANTITY
AB The hydraulic performance of permeable pavement (PP) systems has been well demonstrated when based on full or partial on-site infiltration, while there is only limited research on lined PP systems built to provide detention and volume reduction by evaporation only. In this study, we tested the performance of commercially available PP components when constructed as lined PP systems with un-throttled discharge to explore basic hydraulic function in a real-life-setting. Four types of PP surface products and three types of sub-base aggregates were tested in six unique combinations, built as side-by-side parking lots into an existing parking area, each stall having a size of 25 m(2) and 0.5 m of depth with individual lining. Based on 12 months of monitoring precipitation and discharge from each stall, total volume reduction ranged from 3% to 37%. Analysis of up to 22 single events, representing return periods of up to two years, revealed marked detention capacities, expressed as median volume reduction of 40%, spanning 27-69% and median lag time of 1:38 h, spanning 0:39-3:16 h, across all stalls. The considerable range in hydraulic properties can be ascribed to both surface and sub-base properties.
C1 [Stovring, Jan; Dam, Torben; Jensen, Marina Bergen] Univ Copenhagen, Dept Geosci & Nat Resource Management, DK-1958 Frederiksberg, Denmark.
C3 University of Copenhagen
RP Stovring, J (corresponding author), Univ Copenhagen, Dept Geosci & Nat Resource Management, DK-1958 Frederiksberg, Denmark.
EM jls@ign.ku.dk; toda@ign.ku.dk; mbj@ign.ku.dk
RI Jensen, Marina/H-4135-2011; Stovring, Jan/G-6535-2014; Jensen, Marina
   Bergen/C-9841-2015
OI Stovring, Jan/0000-0001-7057-9554; Jensen, Marina
   Bergen/0000-0003-0202-0366; Dam, Torben/0000-0003-4678-7083
FU NCC; IBF; Midtgaard Granit Betonvarer; Byggros; Norrecco; Stenrand
   Grusgrav; MJK; Nyrup Plast; Ramboll; Copenhagen Municipality; HOFOR
   (Greater Copenhagen Utility)
FX The authors want to thank the following organizations for financial
   support, technical advice and assistance in test sites construction:
   NCC, IBF, Midtgaard Granit & Betonvarer, Byggros, Norrecco, Stenrand
   Grusgrav, MJK, Nyrup Plast, Ramboll, Copenhagen Municipality and HOFOR
   (Greater Copenhagen Utility).
CR Abbot CL, 2003, J CHART INST WATER E, V17, P187, DOI 10.1111/j.1747-6593.2003.tb00460.x
   [Anonymous], 1998, ENV SOIL PHYS FUNDAM
   ASTM, 2013, C1781C1781M13 ASTM
   Boogaard F, 2014, CLEAN-SOIL AIR WATER, V42, P146, DOI 10.1002/clen.201300113
   Booth DB, 1999, J AM PLANN ASSOC, V65, P314, DOI 10.1080/01944369908976060
   Brattebo BO, 2003, WATER RES, V37, P4369, DOI 10.1016/S0043-1354(03)00410-X
   Brown RA, 2015, HYDROL PROCESS, V29, P2100, DOI 10.1002/hyp.10359
   Collins KA, 2008, J HYDROL ENG, V13, P1146, DOI 10.1061/(ASCE)1084-0699(2008)13:12(1146)
   Danish Meteorological Institute, 2015, WEATH CLIM DAT 2015
   Drake J, 2013, THESIS
   Drake JAP, 2013, WATER QUAL RES J CAN, V48, P203, DOI 10.2166/wqrjc.2013.055
   Engelsen CJ, 2012, SCI TOTAL ENVIRON, V427, P86, DOI 10.1016/j.scitotenv.2012.04.021
   Ferguson B., 2005, IN ST WA MA, DOI 10.1201/9781420038439
   Gobel P., 2013, FIELD MEASUREMENTS E
   Hood MJ, 2007, J AM WATER RESOUR AS, V43, P1036, DOI 10.1111/j.1752-1688.2007.00085.x
   Knappenberger T, 2017, J IRRIG DRAIN ENG, V143, DOI 10.1061/(ASCE)IR.1943-4774.0001197
   Ladekarl UL, 2005, J HYDROL, V300, P76, DOI 10.1016/j.jhydrol.2004.05.003
   Li H, 2014, CONSTR BUILD MATER, V65, P367, DOI 10.1016/j.conbuildmat.2014.05.004
   Park DG, 2014, KSCE J CIV ENG, V18, P514, DOI 10.1007/s12205-014-0036-y
   Pezzaniti D, 2009, P I CIVIL ENG-WAT M, V162, P211, DOI 10.1680/wama.2009.00034
   PRATT CJ, 1995, WATER SCI TECHNOL, V32, P63, DOI 10.2166/wst.1995.0016
   PRATT CJ, 1989, WATER SCI TECHNOL, V21, P769, DOI 10.2166/wst.1989.0280
   Rodriguez-Hernandez J, 2016, J ENVIRON ENG, V142, DOI 10.1061/(ASCE)EE.1943-7870.0001033
   Scholz M, 2007, BUILD ENVIRON, V42, P3830, DOI 10.1016/j.buildenv.2006.11.016
   SHERGOLD FA, 1953, J APPL CHEM, V3, P110
   Stovring J, 2018, URBAN WATER J, V15, P124, DOI 10.1080/1573062X.2017.1414273
   US EPA OW, 2015, WHAT IS GREEN INFR O
   Woods-Ballard B., 2007, The SUDS Manual, V697, DOI DOI 10.1080/03736245.2014.924867
NR 28
TC 13
Z9 15
U1 0
U2 18
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2073-4441
J9 WATER-SUI
JI Water
PD MAY
PY 2018
VL 10
IS 5
AR 587
DI 10.3390/w10050587
PG 15
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA GJ3LO
UT WOS:000435196700053
OA gold, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Lee, HY
   Cai, YF
   Velioglu, S
   Mu, CZ
   Chang, CJ
   Chen, YL
   Song, YJ
   Chew, JW
   Hu, XM
AF Lee, Heng Yeong
   Cai, Yufeng
   Velioglu, Sadiye
   Mu, Chengzhong
   Chang, Chen Jian
   Chen, Yi Ling
   Song, Yujie
   Chew, Jia Wei
   Hu, Xiao Matthew
TI Thermochromic lonogel: A New Class of Stimuli Responsive Materials with
   Super Cyclic Stability for Solar Modulation
SO CHEMISTRY OF MATERIALS
LA English
DT Article
ID SOLUTION TEMPERATURE BEHAVIOR; IONIC LIQUIDS; SMART WINDOW; OSMOSIS
   DESALINATION; LINEAR-POLYMERS; PHASE-BEHAVIOR; IONOGELS; NANOCOMPOSITE;
   HYDROGELS; STORAGE
AB In this work, a new class of polyurethane based ionogels that can respond to external stimulus, e.g., temperature, has been synthesized. The ionogels are mechanically robust and undergo an LCST-type phase transition with no volume change upon heating accompanied by a switching of optical transmittance. The optical switching temperature is tunable within a wide range between subzero to over 100 degrees C. Molecular dynamic simulation aided molecular design and provided further mechanistic understanding. Apart from the LCST-type transition, these ionogels are absent of freezing point and volatility and demonstrated unprecedented super high optical cyclic stability even after 5000 heating cooling cycles with no detectable liquid leaching. In addition, these ionogels are chemically compatible with a range of additives such as organic dyes and photothermal plasmonic conducting nanoparticles which endow multifunctionality and versatility in terms of applications. A model mini-house affixed with the ionogel-incorporated glazing demonstrates a reduction of indoor temperature by up to 20 degrees C far superior to state-of-the-art tungstate coated glazing. This new class of ionogels marks an important milestone in smart materials development for a range of applications including autonomous and climate-adaptable solar modulation window.
C1 [Lee, Heng Yeong; Mu, Chengzhong; Chang, Chen Jian; Chen, Yi Ling; Song, Yujie; Hu, Xiao Matthew] Nanyang Technol Univ, Sch Mat Sci & Engn, 50 Nanyang Ave, Singapore 639798, Singapore.
   [Cai, Yufeng; Hu, Xiao Matthew] Nanyang Environm & Water Res Inst, Environm Chem & Mat Ctr, 1 Cleantech Loop, Singapore 637141, Singapore.
   [Velioglu, Sadiye; Chew, Jia Wei] Nanyang Technol Univ, Sch Chem & Biol Engn, 50 Nanyang Ave, Singapore 639798, Singapore.
C3 Nanyang Technological University; Nanyang Technological University;
   Nanyang Technological University
RP Hu, XM (corresponding author), Nanyang Technol Univ, Sch Mat Sci & Engn, 50 Nanyang Ave, Singapore 639798, Singapore.; Hu, XM (corresponding author), Nanyang Environm & Water Res Inst, Environm Chem & Mat Ctr, 1 Cleantech Loop, Singapore 637141, Singapore.
EM ASXHU@e.ntu.edu.sg
RI Hu, Xiaopeng/GZA-7341-2022; Velioglu, Sadiye/AAA-3745-2021; Song,
   Yujie/L-1409-2017; Chew, Jia Wei/A-7395-2018; Hu, Xiao/A-2227-2011
OI Song, Yujie/0000-0001-9600-8530; Chew, Jia Wei/0000-0002-6603-1649;
   Velioglu, Sadiye/0000-0002-4812-3611; Hu, Xiao/0000-0002-0941-4205
FU Economic Development Board and Nanyang Technological University
   [M4061513]
FX This work is supported by the research fund of Economic Development
   Board and Nanyang Technological University under grant M4061513. The
   authors would also like to acknowledge the samples of ATO nanoparticles
   dispersion generously provided by NanoMaterials Technology Pte. Ltd. In
   addition, the authors would like to thank Jacob Lim Song Kiat for
   valuable insights and discussion.
CR Cai YF, 2015, RSC ADV, V5, P97143, DOI 10.1039/c5ra19018e
   Cai YF, 2013, WATER RES, V47, P3773, DOI 10.1016/j.watres.2013.04.034
   De Bastiani M, 2017, CHEM MATER, V29, P3367, DOI 10.1021/acs.chemmater.6b05112
   Dong YX, 2014, MACROMOL RAPID COMM, V35, P1943, DOI 10.1002/marc.201400356
   Fan XL, 2016, ADV MATER, V28, P4156, DOI 10.1002/adma.201600205
   Fumino K, 2008, ANGEW CHEM INT EDIT, V47, P8731, DOI 10.1002/anie.200803446
   Fumino K, 2014, PHYS CHEM CHEM PHYS, V16, P21903, DOI 10.1039/c4cp01476f
   Gao YF, 2012, ENERG ENVIRON SCI, V5, P8234, DOI 10.1039/c2ee21119j
   Ge DT, 2015, ADV MATER, V27, P2489, DOI 10.1002/adma.201500281
   Ge FJ, 2017, ANGEW CHEM INT EDIT, V56, P6126, DOI 10.1002/anie.201612164
   Guo CS, 2011, CHEM COMMUN, V47, P8853, DOI 10.1039/c1cc12711j
   Hoarfrost ML, 2013, MACROMOLECULES, V46, P9464, DOI 10.1021/ma401450w
   Horowitz AI, 2014, ANGEW CHEM INT EDIT, V53, P9780, DOI 10.1002/anie.201405691
   Hsu PC, 2016, SCIENCE, V353, P1019, DOI 10.1126/science.aaf5471
   Kato T, 2002, SCIENCE, V295, P2414, DOI 10.1126/science.1070967
   Khandelwal H, 2017, ADV ENERGY MATER, V7, DOI 10.1002/aenm.201602209
   Kim J, 2015, NANO LETT, V15, P5574, DOI 10.1021/acs.nanolett.5b02197
   Kodama K, 2009, LANGMUIR, V25, P3820, DOI 10.1021/la803945n
   Kuang D, 2008, ANGEW CHEM INT EDIT, V47, P1923, DOI 10.1002/anie.200705225
   Kunzelman J, 2008, ADV MATER, V20, P119, DOI 10.1002/adma.200701772
   Le Bideau J, 2011, CHEM SOC REV, V40, P907, DOI 10.1039/c0cs00059k
   Lee E, 2016, ACS APPL MATER INTER, V8, P26359, DOI 10.1021/acsami.6b10091
   Lee HY, 2017, ACS APPL MATER INTER, V9, P6054, DOI 10.1021/acsami.6b15065
   Liu XY, 2016, ADV MATER, V28, P871, DOI 10.1002/adma.201504525
   Liu YJ, 2011, ADV MATER, V23, P1656, DOI 10.1002/adma.201003708
   Lopes JNC, 2006, J PHYS CHEM B, V110, P16816, DOI 10.1021/jp063603r
   Manthiram K, 2012, J AM CHEM SOC, V134, P3995, DOI 10.1021/ja211363w
   Mitov M, 2012, ADV MATER, V24, P6260, DOI 10.1002/adma.201202913
   Murray J, 2017, ACS PHOTONICS, V4, P1, DOI 10.1021/acsphotonics.6b00518
   Néouze MA, 2006, CHEM MATER, V18, P3931, DOI 10.1021/cm060656c
   Pei YC, 2007, ENVIRON SCI TECHNOL, V41, P5090, DOI 10.1021/es062838d
   Resch K, 2009, SOL ENERG MAT SOL C, V93, P119, DOI 10.1016/j.solmat.2008.09.004
   Rotzetter ACC, 2012, ADV MATER, V24, P5352, DOI 10.1002/adma.201202574
   Rubenstein MC, 2003, POLYM PHYS
   Seeboth A., 2013, Thermochromic and Thermotropic Materials
   Seeboth A, 2014, CHEM REV, V114, P3037, DOI 10.1021/cr400462e
   Seeboth A, 2010, MATERIALS, V3, P5143, DOI 10.3390/ma3125143
   Shi Y, 2016, NANO TODAY, V11, P738, DOI 10.1016/j.nantod.2016.10.002
   Singh MP, 2014, PROG MATER SCI, V64, P73, DOI 10.1016/j.pmatsci.2014.03.001
   Suzuki T, 2013, SOFT MATTER, V9, P1761, DOI 10.1039/c2sm27393d
   Ueki T, 2007, J PHYS CHEM B, V111, P4750, DOI 10.1021/jp0670900
   Ueki T, 2007, LANGMUIR, V23, P988, DOI 10.1021/la062986h
   Wade CR, 2013, ANGEW CHEM INT EDIT, V52, P13377, DOI 10.1002/anie.201306162
   Wang K, 2012, ENERG ENVIRON SCI, V5, P8384, DOI 10.1039/c2ee21643d
   Wang M, 2014, IND ENG CHEM RES, V53, P18462, DOI 10.1021/ie502828b
   Wishart JF, 2009, ENERG ENVIRON SCI, V2, P956, DOI 10.1039/b906273d
   Wulf A, 2010, ANGEW CHEM INT EDIT, V49, P449, DOI 10.1002/anie.200905437
   Yang YS, 2016, RSC ADV, V6, P61449, DOI 10.1039/c6ra12454b
   Zhai Y, 2017, SCIENCE, V355, DOI 10.1126/science.aai7899
   Zhang ZT, 2011, ENERG ENVIRON SCI, V4, P4290, DOI 10.1039/c1ee02092g
   Zhou JD, 2013, SCI REP-UK, V3, DOI 10.1038/srep03029
   Zhou YH, 2012, ADV MATER, V24, P962, DOI 10.1002/adma.201104814
   Zhou Y, 2016, ADV MATER TECHNOL-US, V1, DOI 10.1002/admt.201600069
   Zhou Y, 2014, J MATER CHEM A, V2, P13550, DOI 10.1039/c4ta02287d
NR 54
TC 101
Z9 106
U1 10
U2 263
PU AMER CHEMICAL SOC
PI WASHINGTON
PA 1155 16TH ST, NW, WASHINGTON, DC 20036 USA
SN 0897-4756
EI 1520-5002
J9 CHEM MATER
JI Chem. Mat.
PD AUG 22
PY 2017
VL 29
IS 16
BP 6947
EP 6955
DI 10.1021/acs.chemmater.7b02402
PG 9
WC Chemistry, Physical; Materials Science, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Materials Science
GA FE9JK
UT WOS:000408519800043
DA 2025-01-10
ER

PT J
AU Head, BW
AF Head, Brian W.
TI Evidence, uncertainty, and wicked problems in climate change decision
   making in Australia
SO ENVIRONMENT AND PLANNING C-GOVERNMENT AND POLICY
LA English
DT Article
DE wicked problems; climate change policy; scientific uncertainty;
   adaptation strategy; emission trading; capacity building
ID ENVIRONMENTAL-POLICY; COLLABORATIVE CAPACITY; GOVERNANCE; KNOWLEDGE;
   ENGAGEMENT; ORGANIZATIONS; PARTICIPATION; TRANSITIONS; ADAPTATION;
   CHALLENGES
AB Policy makers have had great difficulty in understanding and responding effectively to complex or 'wicked' problems. Contentious policy initiatives are hard to implement when knowledge bases are divergent and incomplete, when short-term interests conflict with long-term benefits, and when problems are construed or framed in very different ways. These features of wicked problems have been central in Australian debates about initiatives to reduce greenhouse gas emissions and to address the likely impacts of climate change. Given the closely interconnected nature of social, technical, legal-political, economic, and natural-resource issues, the political challenges of managing adaptive change are numerous. A strategic adaptation framework is necessary to complement ongoing mitigation efforts directed at greenhouse gas reduction. Strategic innovation requires pluralistic and adaptive processes, such as multistakeholder forums, consideration of scenario analyses, and the use of boundary organizations. In light of the highly contested nature of the issues, the multiple bases of knowledge and interests, and the provisional nature of adaptation choices, there are major policy governance challenges facing the Australian government and stakeholders in grappling with climate adaptation.
C1 Univ Queensland, Social Sci Res Inst, St Lucia, Qld 4072, Australia.
C3 University of Queensland
RP Head, BW (corresponding author), Univ Queensland, Social Sci Res Inst, St Lucia, Qld 4072, Australia.
EM brian.head@uq.edu.au
RI Head, Brian/B-9918-2016
OI Head, Brian/0000-0002-9915-0628
CR Allen Consulting Group, 2005, CLIM CHANG RISK VULN
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], GEETING RESULTS COLL
   [Anonymous], CLIMATE CHANGE REGIO
   [Anonymous], 1997, Agendas, Alternatives, and Public Agenda
   [Anonymous], WORKING PAPER
   [Anonymous], 2007, TACKL WICK PROBL PUB
   [Anonymous], 2004, MULTILEVEL GOVERNANC
   [Anonymous], 1999, The consensus building handbook : A comprehensive guide to reaching agreement, DOI DOI 10.4135/9781452231389
   [Anonymous], 2003, MANAGING AUSTR ENV
   [Anonymous], MANAGING UNCERTAINTI
   [Anonymous], CLIM CHNAG AD ACT LO
   [Anonymous], PROMOTING ACTION ADA
   [Anonymous], NAT GREENH STRAT
   [Anonymous], NAT GREENH POL
   [Anonymous], RESP CLIM CHANG ISS
   [Anonymous], LOC GOV ACT CLIM CHA
   [Anonymous], 1982, Risk and Culture: An Essay on the Selection of Technological and Environmental Dangers
   [Anonymous], CHOK CLIM CHANG
   [Anonymous], ARNDT MEMORIAL LECT
   [Anonymous], SUBM
   [Anonymous], NAT CLIM CHANG AD F
   [Anonymous], AD CLIM CHANG QUEENS
   Bell S., 2009, RETHINKING GOVERNANC
   Berkes F, 2009, J ENVIRON MANAGE, V90, P1692, DOI 10.1016/j.jenvman.2008.12.001
   Boin A., 2005, POLITICS CRISIS MANA, DOI 10.1017/CBO9780511490880
   Bommert B., 2010, International Public Management Review, V11, P15, DOI DOI 10.1017/CBO9781316105337.006
   Brugnach M, 2012, ENVIRON SCI POLICY, V15, P60, DOI 10.1016/j.envsci.2011.10.005
   Bulkeley H, 2005, POLIT GEOGR, V24, P875, DOI 10.1016/j.polgeo.2005.07.002
   Bulkeley H, 2005, ENVIRON POLIT, V14, P42, DOI 10.1080/0964401042000310178
   Bulkeley H, 2003, ENVIRON VALUE, V12, P143, DOI 10.3197/096327103129341261
   Bulkeley H, 2000, ENVIRON PLANN C, V18, P727, DOI 10.1068/c9905j
   Campbell MC, 2003, J PLAN LIT, V17, P360, DOI 10.1177/0885412202239138
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Curran G, 2011, ENVIRON PLANN C, V29, P1004, DOI 10.1068/c10217
   de Boer J, 2010, GLOBAL ENVIRON CHANG, V20, P502, DOI 10.1016/j.gloenvcha.2010.03.003
   Dovers S, 2009, GLOBAL ENVIRON CHANG, V19, P4, DOI 10.1016/j.gloenvcha.2008.06.006
   Eakin HC, 2011, WIRES CLIM CHANGE, V2, P141, DOI 10.1002/wcc.100
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Engle NL, 2010, GLOBAL ENVIRON CHANG, V20, P4, DOI 10.1016/j.gloenvcha.2009.07.001
   Fielding KS, 2012, ENVIRON POLIT, V21, P712, DOI 10.1080/09644016.2012.698887
   Fiorino DJ, 2001, PUBLIC ADMIN REV, V61, P322, DOI 10.1111/0033-3352.00033
   Fischer F., 2003, Reframing Public Policy: Discursive Politics and Deliberative Practices
   Frame B, 2008, ECOL ECON, V65, P225, DOI 10.1016/j.ecolecon.2007.11.010
   Frame B, 2008, ENVIRON PLANN C, V26, P1113, DOI 10.1068/c0790s
   FUNTOWICZ S, 1994, FUTURES, V26, P568, DOI 10.1016/0016-3287(94)90029-9
   Garnaut R., 2008, GARNAUT CLIMATE CHAN
   Geddes M, 2006, INT J URBAN REGIONAL, V30, P76, DOI 10.1111/j.1468-2427.2006.00645.x
   Gifford R, 2011, GLOBAL ENVIRON CHANG, V21, P1301, DOI 10.1016/j.gloenvcha.2011.06.004
   Godet M., 1994, A handbook of strategic prospective
   Goldsmith S., 2004, GOVERNING BY NETWORK
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Head B., 2008, INT RES SOC PUBL MAN, P26
   Head B.W., 2010, Policy and Society, V29, P77, DOI [DOI 10.1016/J.POLSOC.2010.03.001, 10.1016/j.polsoc.2010.03.001]
   Head BW, 2008, AUST J PUBL ADMIN, V67, P1, DOI 10.1111/j.1467-8500.2007.00564.x
   Head BW, 2007, AUST J POLIT SCI, V42, P441, DOI 10.1080/10361140701513570
   Head BW, 2011, REG SCI POLICY PRACT, V3, P219, DOI 10.1111/j.1757-7802.2011.01038.x
   Head BW, 2011, PUBLIC ADMIN DEVELOP, V31, P102, DOI 10.1002/pad.599
   Head BW, 2010, ASIA-PAC J BUS ADM, V2, P8, DOI 10.1108/17574321011028954
   Hobson K, 2011, GLOBAL ENVIRON CHANG, V21, P957, DOI 10.1016/j.gloenvcha.2011.05.001
   IPCC, 2007, CLIM CHANG 2007 IPCC
   Jänicke M, 1999, ENVIRONM POLIT SER, P175
   Jerneck A, 2011, ENVIRON INNOV SOC TR, V1, P255, DOI 10.1016/j.eist.2011.10.005
   Jordan A, 2008, ENVIRON PLANN C, V26, P17, DOI 10.1068/cav6
   Kaplan S, 2008, ORGAN SCI, V19, P729, DOI 10.1287/orsc.1070.0340
   Kettl D., 2009, The Next Government of the United States: Why Our Institutions Fail Us and How to Fix Them
   Lakoff G, 2010, ENVIRON COMMUN, V4, P70, DOI 10.1080/17524030903529749
   Lazarus RJ, 2009, CORNELL LAW REV, V94, P1153
   LINDBLOM CE, 1979, PUBLIC ADMIN REV, V39, P517, DOI 10.2307/976178
   Lorenzoni I, 2007, FUTURES, V39, P65, DOI 10.1016/j.futures.2006.03.005
   Lovell H, 2009, ENVIRON PLANN C, V27, P90, DOI 10.1068/c0797j
   Marsh D, 2010, PUBLIC ADMIN, V88, P564, DOI 10.1111/j.1467-9299.2009.01803.x
   Moser SC, 2007, CREATING A CLIMATE FOR CHANGE: COMMUNICATING CLIMATE CHANGE AND FACILITATING SOCIAL CHANGE, P1, DOI 10.1017/CBO9780511535871
   Moser SC, 2010, WIRES CLIM CHANGE, V1, P31, DOI 10.1002/wcc.11
   Mulgan G., 2009, ART PUBLIC STRATEGY
   Nisbet MC, 2009, ENVIRONMENT, V51, P12, DOI 10.3200/ENVT.51.2.12-23
   Owens S, 2006, ENVIRON PLANN C, V24, P633, DOI 10.1068/c0606j
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Peters G., 2006, Journal of Comparative Policy Analysis Research and Practice, V7, P349, DOI DOI 10.1080/13876980500319204
   Pidgeon N, 2009, ENVIRON POLIT, V18, P670, DOI 10.1080/09644010903156976
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Pierre J, 2005, GOVERNING COMPLEX SOCIETIES: TRAJECTORIES AND SCENARIOS, P1, DOI 10.1057/9780230512641
   Preston B L., 2006, Climate change impacts on Australia and the benefits of early action to reduce global greenhouse gas emissions
   Productivity Commission, 2012, Barriers to effective climate change adaptation: Productivity Commission draft report
   Ravetz J, 2005, WATER SCI TECHNOL, V52, P11, DOI 10.2166/wst.2005.0145
   Ravetz JR, 2006, ECOL COMPLEX, V3, P275, DOI 10.1016/j.ecocom.2007.02.001
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Schlager E., 2011, Navigating climate change policy: the opportunities of federalism
   Schon D.A.M. Rein., 1994, FRAME REFLECTION RES
   Stern N., 2007, The Economics of Climate Change: The Stern Review, DOI DOI 10.1017/CBO9780511817434
   Sullivan H, 2006, PUBLIC ADMIN, V84, P289, DOI 10.1111/j.1467-9299.2006.00003.x
   Tranter B, 2011, ENVIRON POLIT, V20, P78, DOI 10.1080/09644016.2011.538167
   Turnpenny J, 2009, ENVIRON SCI POLICY, V12, P347, DOI 10.1016/j.envsci.2009.01.004
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   van der Brugge R, 2007, WATER RESOUR MANAG, V21, P249, DOI 10.1007/s11269-006-9052-0
   Verweij M, 2006, GLOB ISS SER, P1, DOI 10.1057/9780230624887
   Verweij M, 2006, PUBLIC ADMIN, V84, P817, DOI 10.1111/j.1540-8159.2005.09566.x-i1
   Warner J., 2010, Water Alternatives, V3, P137
   Weber ER, 2008, PUBLIC ADMIN REV, V68, P334, DOI 10.1111/j.1540-6210.2007.00866.x
NR 100
TC 97
Z9 105
U1 3
U2 92
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0263-774X
EI 1472-3425
J9 ENVIRON PLANN C
JI Environ. Plan. C-Gov. Policy
PY 2014
VL 32
IS 4
SI SI
BP 663
EP 679
DI 10.1068/c1240
PG 17
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA AN7HA
UT WOS:000340768600005
DA 2025-01-10
ER

PT B
AU Wiggering, H
   Ende, HP
   Knierim, A
   Wurbs, A
   Lischeid, G
   Assmann, KH
   Benfer, W
   Henze, C
   Pape, J
   Steinhardt, U
   Stornowski, K
AF Wiggering, Hubert
   Ende, Hans-Peter
   Knierim, Andrea
   Wurbs, Angelika
   Lischeid, Gunnar
   Assmann, Karl-Heinz
   Benfer, Wilhelm
   Henze, Claudia
   Pape, Jens
   Steinhardt, Uta
   Stornowski, Karsten
BE Wiggering, H
   Ende, HP
   Knierim, A
   Pintar, M
TI Zero emissions region north-eastern Brandenburg - between climate
   adaptation and challenges for innovative land use
SO INNOVATIONS IN EUROPEAN RURAL LANDSCAPES
LA English
DT Article; Book Chapter
AB The German InnoLand Research Area is constituted by the counties Barnim and Uckermark. As part of the State of Brandenburg within North-Eastern Germany, the Research Area is a typical young moraine lowland with domination of crop production. This region - located between the Berlin metropolitan area in the south and the Polish border in the northeast - is characterized by strong gradients with respect to the intensity of land use as well as by impacts due to land use, economic power, and demographic changes. Actual challenges are high unemployment rate and increased production of energy crops despite low yields. Future challenges may arise from droughts and increasing shortages in ground water supply due to climate change. As a result of a regional consensus finding process local authorities made the decision to establish a "Zero Emissions Region" as an optimization for one specific demand. Consequently, a landscape experiment, using untreated or only partly treated waste water as contribution to a environmental sound material flow management exemplified by cultivation of reed will be conducted. A double dividend with respect to landscape functions could be obtained with this approach to solve problems with the water household and water quality and to establish a sustained production e.g. of biomass for energy production.
C1 [Wiggering, Hubert; Ende, Hans-Peter; Knierim, Andrea; Wurbs, Angelika; Lischeid, Gunnar] Leibniz Ctr Agr Landscape Res ZALF, D-15374 Muncheberg, Germany.
   [Wiggering, Hubert; Lischeid, Gunnar] Univ Potsdam, Inst Ecol, D-14415 Potsdam, Germany.
   [Assmann, Karl-Heinz; Benfer, Wilhelm] Cty Dev Off, D-16225 Eberswalde, Germany.
   [Henze, Claudia] Reg Planning Off Uckermark Barnim, D-16225 Eberswalde, Germany.
   [Pape, Jens; Steinhardt, Uta] Univ Appl Sci Eberswalde, D-16225 Eberswalde, Germany.
   [Stornowski, Karsten] Water & Soil Author Welse Welse, Passow, Germany.
C3 Leibniz Association; Leibniz Zentrum fur Agrarlandschaftsforschung
   (ZALF); University of Potsdam; Eberswalde University for Sustainable
   Development
RP Wiggering, H (corresponding author), Leibniz Ctr Agr Landscape Res ZALF, Eberswalder Str 84, D-15374 Muncheberg, Germany.
EM wiggering@zalf.de; hpende@zalf.de; aknierim@zalf.de; awurbs@zalf.de;
   lischeid@zalf.de; assmann@barnim.de;
   regionalplanung@uckermark-barnim.de; jpape@fh-eberswalde.de;
   usteinhardt@fh-eberswalde.de; verwaltung@wbv-welse.de
RI Lischeid, Gunnar/F-9383-2016; Ende, Hans-Peter/M-5484-2013
OI Lischeid, Gunnar/0000-0003-3700-6062; Ende,
   Hans-Peter/0000-0001-5434-9900
CR [Anonymous], HYDR ATL DEUTSCHL
   ARNDT T, 2008, ARCH FORSTWESEN LAND, V42, P49
   BENFER W, 2007, JDZB S FUT PER BERL
   Driescher E., 2003, STUDIEN TAGUNGSBERIC, V47
   Gerstengarbe F -W, 2003, 83 PIK
   LAHMER W, 2000, STUDIEN TAGUNGSBERIC, V27
   Wichtmann W., 1999, Archive for Conservation and Landscape Research, V38, P97
   WICHTMANN W, 1998, SUSTAINABLE AGR FOOD, P479
   Wiggering H, 2003, SUSTAINABLE DEVELOPMENT OF MULTIFUNCTIONAL LANDSCAPES, P3
   WIGGERING H, 2008, LANDSCAPE ONLINE, P1
NR 10
TC 1
Z9 1
U1 0
U2 3
PU SPRINGER
PI NEW YORK
PA 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
BN 978-3-642-04171-6
PY 2010
BP 115
EP 135
DI 10.1007/978-3-642-04172-3_8
D2 10.1007/978-3-642-04172-3
PG 21
WC Agricultural Economics & Policy; Ecology; Forestry; Geology
WE Book Citation Index – Science (BKCI-S)
SC Agriculture; Environmental Sciences & Ecology; Forestry; Geology
GA BNO51
UT WOS:000275129100008
DA 2025-01-10
ER

PT J
AU Lozano-Elena, F
   Fàbregas, N
   Coleto-Alcudia, V
   Caño-Delgado, AI
AF Lozano-Elena, Fidel
   Fabregas, Norma
   Coleto-Alcudia, Veredas
   Cano-Delgado, Ana I.
TI Analysis of metabolic dynamics during drought stress in Arabidopsis
   plants
SO SCIENTIFIC DATA
LA English
DT Article; Data Paper
ID DIFFERENTIAL EXPRESSION; TREHALOSE-6-PHOSPHATE PHOSPHATASE;
   GENE-EXPRESSION; TOLERANCE; OVEREXPRESSION; RESPONSES; RICE
AB Drought is a major cause of agricultural losses worldwide. Climate change will intensify drought episodes threatening agricultural sustainability. Gaining insights into drought response mechanisms is vital for crop adaptation to climate emergency. To date, only few studies report comprehensive analyses of plant metabolic adaptation to drought. Here, we present a multifactorial metabolomic study of early-mid drought stages in the model plant Arabidopsis thaliana. We sampled root and shoot tissues of plants subjected to water withholding over a six-day time course, including brassinosteroids receptor mutants previously reported to show drought tolerance phenotypes. Furthermore, we sequenced the root transcriptome at basal and after 5 days drought, allowing direct correlation between metabolic and transcriptomic changes and the multi-omics integration. Significant abiotic stress signatures were already activated at basal conditions in a vascular-specific receptor overexpression (BRL3ox). These were also rapidly mobilized under drought, revealing a systemic adaptation strategy driven from inner tissues of the plant. Overall, this dataset provides a significant asset to study drought metabolic adaptation and allows its analysis from multiple perspectives.
C1 [Lozano-Elena, Fidel; Fabregas, Norma; Coleto-Alcudia, Veredas; Cano-Delgado, Ana I.] CSIC IRTA UAB UB, Ctr Res Agr Genom CRAG, Det Mol Genet, Campus UAB Cerdanyola Valles, Barcelona 08193, Spain.
   [Fabregas, Norma] Vetgenomics, Campus UAB Cerdanyola Valles, Barcelona 08193, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); Centre de
   Recerca en Agrigenomica (CRAG); IRTA; University of Barcelona;
   Autonomous University of Barcelona
RP Caño-Delgado, AI (corresponding author), CSIC IRTA UAB UB, Ctr Res Agr Genom CRAG, Det Mol Genet, Campus UAB Cerdanyola Valles, Barcelona 08193, Spain.
EM ana.cano@cragenomica.es
RI Lozano-Elena, Fidel/AAB-4873-2020; Fàbregas, Norma/N-7949-2019; Cano-
   Delgado, Ana I./I-4165-2015
OI Cano- Delgado, Ana I./0000-0002-8071-6724; Coleto-Alcudia,
   Veredas/0000-0001-9813-0353; Lozano-Elena, Fidel/0000-0003-0545-9438
FU European Research Council (ERC) under the European Union [683163];
   MCIN/AEI [BIO2016-78150-P]; ERDF A way of making Europe; EMBO short-term
   postdoctoral fellowship [ASTF 422-2015]; Fundacion Renta Corporacion;
   MINECO/AEI [BIO2013-43873]; Severo Ochoa PhD Fellowship; Spanish
   Ministry of Science and Innovation-State Research Agency (AEI), through
   the "Severo Ochoa Programme for Centres of Excellence in RD" - MCIN/AEI
   [SEV-2015-0533, CEX2019-000902-S]; CERCA Programme/Generalitat de
   Catalunya;  [PIRSES-GA-2013-612583];  [ERC-2015-CoG-683163]; European
   Research Council (ERC) [683163] Funding Source: European Research
   Council (ERC)
FX Authors acknowledge the support of funding agencies: A.I.C.-D. has
   received funding from the European Research Council (ERC) under the
   European Union's Horizon 2020 research and innovation programme (grant
   agreement No 683163). A.I.C.-D. is a recipient of project
   BIO2016-78150-P funded by MCIN/AEI/ 10.13039/501100011033 and by "ERDF A
   way of making Europe", F.L-E. received funding from project
   BIO2016-78150-P funded by MCIN/AEI/ 10.13039/501100011033 and by "ERDF A
   way of making Europe" and PIRSES-GA-2013-612583 and ERC-2015-CoG-683163
   granted to A.I.C.-D. laboratory. N.F. was recipient of EMBO short-term
   postdoctoral fellowship (ASTF 422-2015) in Alisdair Fernie Lab. N.F. was
   funded by "Fundacion Renta Corporacion", and by BIO2013-43873 funded by
   MINECO/AEI/10.13039/501100011033, granted to A.I.C.-D; V.C-A is funded
   by Severo Ochoa PhD Fellowship. We acknowledge financial support from
   the Spanish Ministry of Science and Innovation-State Research Agency
   (AEI), through the "Severo Ochoa Programme for Centres of Excellence in
   R&D" SEV-2015-0533 and CEX2019-000902-S funded by
   MCIN/AEI/10.13039/501100011033 and support from the CERCA
   Programme/Generalitat de Catalunya.
CR Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Caño-Delgado A, 2004, DEVELOPMENT, V131, P5341, DOI 10.1242/dev.01403
   Chen LN, 2012, SCI REP-UK, V2, DOI 10.1038/srep00342
   Claeys H, 2013, PLANT PHYSIOL, V162, P1768, DOI 10.1104/pp.113.220921
   Conesa A, 2006, BIOINFORMATICS, V22, P1096, DOI 10.1093/bioinformatics/btl056
   Divi UK, 2009, NEW BIOTECHNOL, V26, P131, DOI 10.1016/j.nbt.2009.07.006
   Dong SY, 2019, J PLANT PHYSIOL, V234, P80, DOI 10.1016/j.jplph.2019.01.007
   ElSayed AI, 2014, PLANT BIOLOGY, V16, P1, DOI 10.1111/plb.12053
   Fabregas N., 2021, METABOLIGHTS
   Fabregas N, 2019, J EXP BOT, V70, P1077, DOI 10.1093/jxb/ery437
   Fàbregas N, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06861-3
   Fàbregas N, 2013, PLANT CELL, V25, P3377, DOI 10.1105/tpc.113.114462
   Fernie AR, 2011, PLANT CELL, V23, P2477, DOI 10.1105/tpc.111.086272
   Frolov A, 2017, J PLANT PHYSIOL, V208, P70, DOI 10.1016/j.jplph.2016.09.013
   García-Alcalde F, 2011, BIOINFORMATICS, V27, P137, DOI 10.1093/bioinformatics/btq594
   Ge LF, 2008, PLANTA, V228, P191, DOI 10.1007/s00425-008-0729-x
   Georgii E, 2017, BMC PLANT BIOL, V17, DOI 10.1186/s12870-017-1062-y
   Gupta A, 2020, SCIENCE, V368, P266, DOI 10.1126/science.aaz7614
   Himuro Y, 2014, J PLANT PHYSIOL, V171, P1127, DOI 10.1016/j.jplph.2014.04.007
   Jahagirdar S, 2021, J PROTEOME RES, V20, P932, DOI 10.1021/acs.jproteome.0c00696
   Kim D, 2019, NAT BIOTECHNOL, V37, P907, DOI 10.1038/s41587-019-0201-4
   Kopka J, 2005, BIOINFORMATICS, V21, P1635, DOI 10.1093/bioinformatics/bti236
   Krasensky J, 2012, J EXP BOT, V63, P1593, DOI 10.1093/jxb/err460
   Kudo M, 2017, PLANT BIOTECHNOL J, V15, P458, DOI 10.1111/pbi.12644
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Lozano-Elena F., 2018, GENE EXPRESSION OMNI
   Luedemann A, 2008, BIOINFORMATICS, V24, P732, DOI 10.1093/bioinformatics/btn023
   Martignago D, 2020, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01676
   Meng L, 2019, J PROTEOMICS, V196, P81, DOI 10.1016/j.jprot.2019.02.001
   Nanjo T, 1999, FEBS LETT, V461, P205, DOI 10.1016/S0014-5793(99)01451-9
   Nie SM, 2019, PLANT PHYSIOL BIOCH, V138, P36, DOI 10.1016/j.plaphy.2019.02.014
   Nuccio ML, 2015, NAT BIOTECHNOL, V33, P862, DOI 10.1038/nbt.3277
   Pires MV, 2016, PLANT CELL ENVIRON, V39, P1304, DOI 10.1111/pce.12682
   Planas-Riverola A, 2019, DEVELOPMENT, V146, DOI 10.1242/dev.151894
   Robinson MD, 2010, BIOINFORMATICS, V26, P139, DOI 10.1093/bioinformatics/btp616
   Sah SK, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00571
   Slama I, 2015, ANN BOT-LONDON, V115, P433, DOI 10.1093/aob/mcu239
   Tarazona S, 2015, NUCLEIC ACIDS RES, V43, DOI 10.1093/nar/gkv711
   Todaka D, 2017, PLANT J, V90, P61, DOI 10.1111/tpj.13468
   Tuberosa R, 2006, TRENDS PLANT SCI, V11, P405, DOI 10.1016/j.tplants.2006.06.003
   Urano K, 2009, PLANT J, V57, P1065, DOI 10.1111/j.1365-313X.2008.03748.x
   Ye HX, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14573
NR 42
TC 19
Z9 19
U1 8
U2 43
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2052-4463
J9 SCI DATA
JI Sci. Data
PD MAR 21
PY 2022
VL 9
IS 1
AR 90
DI 10.1038/s41597-022-01161-4
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA ZW8MU
UT WOS:000771461400002
PM 35314705
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Ishiwatari, M
   Nagata, K
   Matsubayashi, M
AF Ishiwatari, Mikio
   Nagata, K.
   Matsubayashi, M.
TI Evolving water resources management in response to socio-economical
   changes: Japanese experience in modernization over the past century
SO WATER SUPPLY
LA English
DT Article
DE environmental protection; flood protection; inclusiveness; integrated
   water resources management; resilience; water supply
ID CHALLENGES
AB As society develops, water resources management (WRM) should evolve in response to the changing public needs. This study examines the evolution of Japanese management mechanisms since modernization. Semi-structured interviews were conducted with decision makers and researchers, and government documents and academic papers were reviewed. We found that the country has developed legislation, financing investments, long-term plans, governance, and science and technology for WRM, and that the water sector contributed to modernization, reconstruction after World War II, and economic development. Japan has become more resilient to natural and biological disasters, more inclusive in providing equitable water services, and more sustainable in protecting the environment. However, issues of inflexible approaches, weak governance, and necessity of applying adaptation to climate and social changes were found.
C1 [Ishiwatari, Mikio] Univ Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778561, Japan.
   [Ishiwatari, Mikio; Nagata, K.; Matsubayashi, M.] Japan Int Cooperat Agcy, 5-25 Nibancho Chiyodaku, Tokyo 1028012, Japan.
C3 University of Tokyo
RP Ishiwatari, M (corresponding author), Univ Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778561, Japan.
EM ishiwatari.mikio@jica.go.jp
RI Ishiwatari, Mikio/V-8751-2019
OI Ishiwatari, Mikio/0000-0002-5606-5036
CR Bellamy J., 2002, INTEGRATED CATCHMENT
   Benson D, 2015, WATER ALTERN, V8, P756
   Biswas AK, 2008, INT J WATER RESOUR D, V24, P5, DOI 10.1080/07900620701871718
   Cardwell HE, 2006, J CONTEMP WAT RES ED, V135, P8, DOI 10.1111/j.1936-704X.2006.mp135001002.x
   Cosgrove WJ, 2015, WATER RESOUR RES, V51, P4823, DOI 10.1002/2014WR016869
   Craig RK, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1423
   Ishiwatari M., 2022, HDB CLIMATE CHANGE M, DOI [10.1007/978-3-030-72579-2_147, DOI 10.1007/978-3-030-72579-2_147]
   Ishiwatari M, 2021, PROG DISASTER SCI, V12, DOI 10.1016/j.pdisas.2021.100197
   Japan International Cooperation Agency (JICA), 2017, JAP EXP WAT SUPPL
   JICA, 2022, JAP EXP WAT RES MAN
   Luo PP, 2020, J CLEAN PROD, V263, DOI 10.1016/j.jclepro.2020.121154
   Mostert E, 2006, J CONTEMP WAT RES ED, V135, P19, DOI 10.1111/j.1936-704X.2006.mp135001003.x
   Musiake K, 2009, INT J WATER RESOUR D, V25, P555, DOI 10.1080/07900620903273796
   Nakamura K., 2022, FINANCING INVESTMENT
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Shams AK, 2022, WATER POLICY, V24, P1, DOI 10.2166/wp.2021.072
   Takahasi Y, 2004, GLOBAL ENVIRON CHANG, V14, P63, DOI 10.1016/j.gloenvcha.2003.11.005
   Takahasi Y, 2009, INT J WATER RESOUR D, V25, P579, DOI 10.1080/07900620903274075
   Takahasi Y, 2009, INT J WATER RESOUR D, V25, P547, DOI 10.1080/07900620903274091
   UN Environment, 2018, GLOB BAS SDG IND 6 5
   UNEP, 2021, PROGR INT WAT RES MA
NR 21
TC 1
Z9 1
U1 0
U2 5
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 1606-9749
EI 1607-0798
J9 WATER SUPPLY
JI Water Supply
PD FEB
PY 2023
VL 23
IS 2
BP 706
EP 714
DI 10.2166/ws.2023.009
EA JAN 2023
PG 9
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA 9G5JT
UT WOS:000921464700001
OA gold
DA 2025-01-10
ER

PT J
AU Collins, J
AF Collins, Jonathon
TI A Rising Tide in Bangladesh: livelihood adaptation to climate stress
SO AUSTRALIAN GEOGRAPHER
LA English
DT Article
DE Livelihood adaptation; resilience; vulnerability; climate change;
   Bangladesh
ID COPING STRATEGIES; RESILIENCE; VILLAGE; SYSTEMS
AB Bangladesh is at the forefront of countries experiencing and debating climate change, despite having contributed little to global emissions, and has the greatest vulnerability to climate change due to inadequate institutional support for the dense population dispersed in low-lying terrain. A micro-level study of livelihoods in the Panpatti Union, a district of the coastal zone exposed to climate stress and an array of other social, economic and political stresses, demonstrated that adaptation strategies to a range of shocks were both reactive and proactive. The persistent nature of shocks, and the limited margins in which to respond, meant that achieving sustainable long-term livelihoods was unusually difficult. Despite cases of dynamism and flexibility, where livelihoods had been effectively diversified, rural people largely failed to reduce their exposure to vulnerability. That was especially true of extremely poor, landless and female-headed households. In such challenging circumstances external interventions were required to ensure sustainable development, but were unlikely because of the isolation of Panpatti and the number of villages and people in similar circumstances. This emphasised the need to develop a more robust livelihoods framework to support the most vulnerable communities in severe economic and environmental contexts where climate change is likely to exacerbate all existing problems.
C1 [Collins, Jonathon] Univ Sydney, Sydney, NSW 2006, Australia.
C3 University of Sydney
RP Collins, J (corresponding author), Univ Sydney, Sch Geosci, Sydney, NSW 2006, Australia.
EM jon.collins91@gmail.com
CR Abdul Malek M., 2010, Journal of Development and Agricultural Economics, V2, P250
   AHMAD A. F, 2011, 5 INT C COMM BAS AD
   AHMAD M, 2002, PERCEPTIONS DIRECT S
   Ahsan R, 2011, ENVIRON JUSTICE, V4, P163, DOI 10.1089/env.2011.0005
   Ali AMS, 2005, HUM ECOL, V33, P245, DOI 10.1007/s10745-005-2434-8
   [Anonymous], 2001, SOCIAL PROTECTION DI
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   BANGLADESH BUREAU OF STATISTICS (BBS), 2011, TABL C 12 DISTR ETHN
   Bardhan S, 2012, AGROFOREST SYST, V85, P29, DOI 10.1007/s10457-012-9515-7
   BENE C., 2000, AFRICAN STUDIES, V62, P187
   CAIN M, 1988, POPULATION FOOD RURA, P150
   CHAMBERS R, 1991, I DEV STUDIES DP
   CHOUDHURY B, 2011, ADAPTIVE MEASURES RE
   Cinner JE, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011999
   Copestake J, 2010, DEV POLICY REV, V28, P617, DOI 10.1111/j.1467-7679.2010.00501.x
   DEKENS J., 2005, THESIS U MANATOBA CA
   Ellis F, 1998, J DEV STUD, V35, P1, DOI 10.1080/00220389808422553
   Ellis F, 2000, J AGR ECON, V51, P289, DOI 10.1111/j.1477-9552.2000.tb01229.x
   Gardner K, 2008, J ROY ANTHROPOL INST, V14, P477, DOI 10.1111/j.1467-9655.2008.00513.x
   Handmer J., 1996, Organization Environment, V9, P482, DOI DOI 10.1177/108602669600900403
   Hutton D, 2003, NAT HAZARDS, V29, P405, DOI 10.1023/A:1024723228041
   Jabeen H, 2010, ENVIRON URBAN, V22, P415, DOI 10.1177/0956247810379937
   JORDAN J., 2011, THESIS QUEENS U BELF
   KURIAKOSE A., 2009, SOCIAL DEV WORKING P, P3
   Lein H, 2009, SINGAPORE J TROP GEO, V30, P98, DOI 10.1111/j.1467-9493.2008.00357.x
   Miah G, 2010, FRONT EARTH SCI-PRC, V4, P427, DOI 10.1007/s11707-010-0126-1
   Okamoto I, 2011, DEV ECON, V49, P89, DOI 10.1111/j.1746-1049.2010.00123.x
   Paul SK, 2011, NAT HAZARDS, V57, P477, DOI 10.1007/s11069-010-9631-5
   Pouliotte J, 2009, CLIM DEV, V1, P31, DOI 10.3763/cdev.2009.0001
   Rana S. M. M., 2011, Environmental Research, Engineering and Management, V56, P20, DOI 10.5755/j01.erem.56.2.301
   Rigg J, 2006, WORLD DEV, V34, P180, DOI 10.1016/j.worlddev.2005.07.015
   ROTBERG F., 2009, IOP C SERIES EARTH E, V6
   Saroar M, 2010, LOCAL ENVIRON, V15, P663, DOI 10.1080/13549839.2010.498813
   Selvaraju R., 2006, Case Study - Institutions for Rural Development, FAO
   Sen B, 2003, WORLD DEV, V31, P513, DOI 10.1016/S0305-750X(02)00217-6
   Shackleton S., 2002, Devolution and community-based natural resource management: Creating space for local people to participate and benefit?
   SHUCKSMITH DM, 1989, J AGR ECON, V40, P345, DOI 10.1111/j.1477-9552.1989.tb01116.x
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   Titus M. J., 2008, RURAL LIVELIHOODS RE
   Turner S, 2012, ANN ASSOC AM GEOGR, V102, P403, DOI 10.1080/00045608.2011.596392
   Uy N, 2011, ENVIRON HAZARDS-UK, V10, P139, DOI 10.1080/17477891.2011.579338
NR 41
TC 7
Z9 7
U1 0
U2 31
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0004-9182
EI 1465-3311
J9 AUST GEOGR
JI Aust. Geogr.
PY 2014
VL 45
IS 3
SI SI
BP 289
EP 307
DI 10.1080/00049182.2014.929999
PG 19
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA AP8DD
UT WOS:000342307700003
DA 2025-01-10
ER

PT J
AU Li, RD
   Sun, T
   Ghaffarian, S
   Tsamados, M
   Ni, GH
AF Li, Ruidong
   Sun, Ting
   Ghaffarian, Saman
   Tsamados, Michel
   Ni, Guangheng
TI GLAMOUR: GLobAl building MOrphology dataset for URban hydroclimate
   modelling
SO SCIENTIFIC DATA
LA English
DT Article
ID ZONES
AB Understanding building morphology is crucial for accurately simulating interactions between urban structures and hydroclimate dynamics. Despite significant efforts to generate detailed global building morphology datasets, there is a lack of practical solutions using publicly accessible resources. In this work, we present GLAMOUR, a dataset derived from open-source Sentinel imagery that captures the average building height and footprint at a resolution of 0.0009 degrees across urbanized areas worldwide. Validated in 18 cities, GLAMOUR exhibits superior accuracy with median root mean square errors of 7.5 m and 0.14 for building height and footprint estimations, indicating better overall performance against existing published datasets. The GLAMOUR dataset provides essential morphological information of 3D building structures and can be integrated with other datasets and tools for a wide range of applications including 3D building model generation and urban morphometric parameter derivation. These extended applications enable refined hydroclimate simulation and hazard assessment on a broader scale and offer valuable insights for researchers and policymakers in building sustainable and resilient urban environments prepared for future climate adaptation.
C1 [Li, Ruidong; Ni, Guangheng] Tsinghua Univ, Dept Hydraul Engn, Beijing, Peoples R China.
   [Li, Ruidong; Sun, Ting; Ghaffarian, Saman] UCL, Inst Risk & Disaster Reduct, London, England.
   [Tsamados, Michel] UCL, Dept Earth Sci, London, England.
C3 Tsinghua University; University of London; University College London;
   University of London; University College London
RP Li, RD (corresponding author), Tsinghua Univ, Dept Hydraul Engn, Beijing, Peoples R China.; Li, RD; Sun, T (corresponding author), UCL, Inst Risk & Disaster Reduct, London, England.
EM lrd19@mails.tsinghua.edu.cn; ting.sun@ucl.ac.uk
RI Sun, Ting/X-1488-2019; Li, Ruidong/AAR-2984-2021; Tsamados,
   Michel/V-1962-2019; Sun, Ting/A-3388-2013
OI Ghaffarian, Saman/0000-0001-9882-4603; Sun, Ting/0000-0002-2486-6146;
   Li, Ruidong/0000-0002-0199-9069
FU RCUK | Natural Environment Research Council (NERC) [2022YFC3090604];
   National Key Research and Development Program of China [61010101221];
   Fund Program of State Key Laboratory of Hydroscience and Engineering
   [sklhse-2020-A06]; Open Research Fund Program of State Key Laboratory of
   Hydroscience and Engineering [NE/P018637/2]; Natural Environment
   Research Council Independent Research Fellowship
FX This work was supported by the National Key Research and Development
   Program of China (2022YFC3090604), the Fund Program of State Key
   Laboratory of Hydroscience and Engineering (61010101221), Open Research
   Fund Program of State Key Laboratory of Hydroscience and Engineering
   (sklhse-2020-A06), the Natural Environment Research Council Independent
   Research Fellowship (NE/P018637/2).
CR Biljecki F, 2022, COMPUT ENVIRON URBAN, V95, DOI 10.1016/j.compenvurbsys.2022.101809
   Buckley S M., 2020, NASADEM User Guide
   Cai BW, 2023, INT J APPL EARTH OBS, V122, DOI 10.1016/j.jag.2023.103399
   Cao YX, 2021, REMOTE SENS ENVIRON, V264, DOI 10.1016/j.rse.2021.112590
   Center for International Earth Science Information Network - CIESIN - Columbia University, 2018, NASA SEDAC
   Chanda B, 2008, IETE TECH REV, V25, P9
   Chen HC, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101863
   Commission U. N. S., 2020, UN Doc. E/CN, V3, P37
   Drusch M, 2012, REMOTE SENS ENVIRON, V120, P25, DOI 10.1016/j.rse.2011.11.026
   Esch T, 2022, REMOTE SENS ENVIRON, V270, DOI 10.1016/j.rse.2021.112877
   Esch T, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12152391
   Fahrland E, 2020, Copernicus DEM, Copernicus digital elevation model
   Florczyk A., 2019, PublicRelease, V1, P1, DOI DOI 10.2760/037310
   Frantz D, 2021, REMOTE SENS ENVIRON, V252, DOI 10.1016/j.rse.2020.112128
   Hawker L, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac4d4f
   He TT, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02240-w
   Herfort B, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-39698-6
   Huang HB, 2022, ISPRS J PHOTOGRAMM, V185, P146, DOI 10.1016/j.isprsjprs.2022.01.022
   Kumar L, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10101509
   Lang NC, 2023, NAT ECOL EVOL, V7, DOI 10.1038/s41559-023-02206-6
   Li MM, 2020, REMOTE SENS ENVIRON, V245, DOI 10.1016/j.rse.2020.111859
   Li Ruidong, 2023, Zenodo, DOI 10.5281/ZENODO.10396451
   Li RD, 2023, GEOSCI MODEL DEV, V16, P751, DOI 10.5194/gmd-16-751-2023
   Li WJ, 2023, PROC CVPR IEEE, P17397, DOI 10.1109/CVPR52729.2023.01669
   Lindberg F, 2018, ENVIRON MODELL SOFTW, V99, P70, DOI 10.1016/j.envsoft.2017.09.020
   Ma X, 2023, REMOTE SENS ENVIRON, V285, DOI 10.1016/j.rse.2022.113392
   Marconcini M., 2021, GIForum, V9, P33, DOI [10.1553/giscience2021_01_s33, DOI 10.1553/GISCIENCE2021_01_S33]
   Milojevic-Dupont N, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02040-2
   Moreira A, 2013, IEEE GEOSC REM SEN M, V1, P6, DOI 10.1109/MGRS.2013.2248301
   Ng E, 2011, LANDSCAPE URBAN PLAN, V101, P59, DOI 10.1016/j.landurbplan.2011.01.004
   Pigliautile I, 2020, RENEW SUST ENERG REV, V133, DOI 10.1016/j.rscr.2020.110103
   Rentschler J, 2023, NATURE, V622, P87, DOI 10.1038/s41586-023-06468-9
   Schmitt M., 2019, ISPRS Annals of the Photogrammetry. Remote Sens. Spatial Inform. Sci., P145, DOI [10.5194/isprs-annals-IV-2-W7-145-2019, DOI 10.5194/ISPRS-ANNALS-IV-2-W7-145-2019]
   Shi Q, 2024, J REMOTE SENS-PRC, V4, DOI 10.34133/remotesensing.0138
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Sun Y, 2021, J ADV MODEL EARTH SY, V13, DOI 10.1029/2020MS002382
   Torres R, 2012, REMOTE SENS ENVIRON, V120, P9, DOI 10.1016/j.rse.2011.05.028
   Ward PJ, 2020, NAT HAZARD EARTH SYS, V20, P1069, DOI 10.5194/nhess-20-1069-2020
   Wu WB, 2023, REMOTE SENS ENVIRON, V291, DOI 10.1016/j.rse.2023.113578
   Xu SC, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.128985
   Zhi GZ, 2020, J ENVIRON MANAGE, V268, DOI 10.1016/j.jenvman.2020.110521
NR 41
TC 1
Z9 1
U1 11
U2 13
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2052-4463
J9 SCI DATA
JI Sci. Data
PD JUN 12
PY 2024
VL 11
IS 1
AR 618
DI 10.1038/s41597-024-03446-2
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA UC9R6
UT WOS:001245985100001
PM 38866820
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Strandberg, G
   Blomqvist, P
   Fransson, N
   Göransson, L
   Hansson, J
   Hellsten, S
   Kjellström, E
   Lin, C
   Lofblad, E
   Montin, S
   Nyholm, E
   Sandgren, A
   Unger, T
   Walter, 
   Westerberg, J
AF Strandberg, G.
   Blomqvist, P.
   Fransson, N.
   Goransson, L.
   Hansson, J.
   Hellsten, S.
   Kjellstrom, E.
   Lin, C.
   Lofblad, E.
   Montin, S.
   Nyholm, E.
   Sandgren, A.
   Unger, T.
   Walter, V
   Westerberg, J.
TI Bespoke climate indicators for the Swedish energy sector - a stakeholder
   focused approach
SO CLIMATE SERVICES
LA English
DT Article
DE Climate adaptation; Energy system; Power; User dialogue
ID IMPACT; EUROPE; SWEDEN; SYSTEM; CMIP5
AB Climate change concerns the energy sector to a high degree because the sector is sensitive both to changing conditions for power and heat production, and to changing demand for electricity, heating and cooling. In this study potential consequences of climate change on different parts of the Swedish energy sector were assessed in a series of workshops, where climate and energy scientists, energy systems experts and analysts met with representatives of the energy sector to assess the vulnerability of the sector and consider what climate indicators could be used to assess impacts of relevance. The impact of climate change depends on the energy type. Hydropower, for which production is naturally linked to weather and climate, is significantly impacted by climate change. For other forms of production, such as nuclear power, other factors such as e.g. policy and technology development are more important. The series of workshops held in this study, where different aspects of climate change and consequences were discussed, proved very successful and has increased our understanding of climate impacts on the energy system.
C1 [Strandberg, G.; Kjellstrom, E.; Lin, C.] Swedish Meteorol & Hydrol Inst, Rossby Ctr, SMHI, S-E60176 Norrkoping, Sweden.
   [Strandberg, G.; Kjellstrom, E.] Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden.
   [Blomqvist, P.; Lofblad, E.; Nyholm, E.; Unger, T.; Westerberg, J.] Profu, Gotaforsliden 13, SE-43134 Molndal, Sweden.
   [Fransson, N.; Hansson, J.; Hellsten, S.; Sandgren, A.] IVL Swedish Environm Res Inst Ltd, SE-10031 Stockholm, Sweden.
   [Goransson, L.; Hansson, J.; Walter, V] Chalmers Univ Technol, SE-41296 Gothenburg, Sweden.
   [Lin, C.] Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China.
   [Lin, C.] Chinese Acad Sci, Key Lab Microwave Remote Sensing Technol, Beijing 100190, Peoples R China.
   [Montin, S.] Swedish Energy Res Ctr, Energiforsk, SE-10153 Stockholm, Sweden.
   [Walter, V] Div Res Transit & Competence Reg Vastra Gotaland, S-E40544 Gothenburg, Sweden.
C3 Swedish Meteorological & Hydrological Institute; Stockholm University;
   IVL Swedish Environmental Research Institute; Chalmers University of
   Technology; Chinese Academy of Sciences; National Space Science Center,
   CAS; Chinese Academy of Sciences; Swedish Energy Agency
RP Strandberg, G (corresponding author), Swedish Meteorol & Hydrol Inst, Rossby Ctr, SMHI, S-E60176 Norrkoping, Sweden.
EM gustav.strandberg@smhi.se
RI Lin, Changgui/I-8135-2012
OI Strandberg, Gustav/0000-0003-2689-9360
FU Energiforsk; Swedish Energy Research Centre; Swedish Energy Agency
   (Energimyndigheten) -; CORDEX programme
FX This study was a part of a project financed by Energiforsk, the Swedish
   Energy Research Centre, which in turn was funded by a grant from the
   Swedish Energy Agency (Energimyndigheten) including support from the
   project partners. We acknowledge the CORDEX programme, and thank all
   climate modelling groups for producing and making available their model
   outputs
CR [Anonymous], 2022, Climate Change 2022: Impacts, Adaptation and Vulnerability, P3, DOI DOI 10.1017/9781009325844.001
   Arheimer B, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00092-8
   Arheimer B, 2015, HYDROL EARTH SYST SC, V19, P771, DOI 10.5194/hess-19-771-2015
   Bednar-Friedl B., 2023, Climate Change 2022Impacts, Adaptation and Vulnerability, P1817, DOI DOI 10.1017/9781009325844.015
   Blomqvist P., 2021, Energiforsk 2021, P742
   Brecka AFJ, 2018, FOREST POLICY ECON, V92, P11, DOI 10.1016/j.forpol.2018.03.010
   Bruce J., 2016, NEPP rapport februari 2016.
   Carvalho D, 2017, RENEW ENERG, V101, P29, DOI 10.1016/j.renene.2016.08.036
   Christensen OB, 2022, CLIM DYNAM, V58, P2371, DOI 10.1007/s00382-021-06010-5
   Christensen OB, 2020, CLIM DYNAM, V54, P4293, DOI 10.1007/s00382-020-05229-y
   Clarke L., 2023, Climate Change 2022Mitigation of Climate Change, P613, DOI DOI 10.1017/9781009157926.008
   Deser C, 2020, NAT CLIM CHANGE, V10, P277, DOI 10.1038/s41558-020-0731-2
   Devis A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabff7
   Dodman D., 2022, IPCC 6 ASSESSMENT RE, P907, DOI [10.1017/9781009325844.008, DOI 10.1017/9781009325844.008]
   Energimyndigheten, 2023, Scenarios for Sweden's energy system in 2023
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fenger J, 2007, Nord 2007:003, P190
   Gode J., 2021, Energiforsk 2021, P738
   Gode J., 2007, Elforsk Rapport Nr 07 (39)
   Gode J., 2022, Energiforsk Rapport 2022, P862
   Grams CM, 2017, NAT CLIM CHANGE, V7, P557, DOI [10.1038/nclimate3338, 10.1038/NCLIMATE3338]
   Hansson J., 2021, Energiforsk 2021, V739
   Hieronymus M, 2020, AMBIO, V49, P1587, DOI 10.1007/s13280-019-01313-8
   Jacob D, 2014, REG ENVIRON CHANGE, V14, P563, DOI 10.1007/s10113-013-0499-2
   Jerez S, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms10014
   Jones C., 2011, CLIVAR exchanges, V16, P34
   Kjellstrom E., 2021, Energiforsk 2021, V745
   Kjellstrom E., 2011, Climate change and energy systems: Impacts, risks and adaptation in the Nordic and Baltic countries
   Kjellström E, 2022, TELLUS A, V74, DOI 10.16993/tellusa.49205
   Kjellstrom Erik, 2016, Clim Serv, V2-3, P15, DOI 10.1016/j.cliser.2016.06.004
   Koestler V., 2019, Norges vassdragsog energidirektorat (NVE) rapport 50-2019
   Krikken F, 2021, NAT HAZARD EARTH SYS, V21, P2169, DOI 10.5194/nhess-21-2169-2021
   Lehner B, 2005, ENERG POLICY, V33, P839, DOI 10.1016/j.enpol.2003.10.018
   Lofblad E., Energiforsk rapport 2021:743
   Masson-Delmotte V..P., 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, DOI 10.1017/9781009157896]
   Matti B, 2017, HYDROL PROCESS, V31, P4354, DOI 10.1002/hyp.11365
   Mima S, 2015, ENVIRON MODEL ASSESS, V20, P303, DOI 10.1007/s10666-015-9449-3
   Molarius R, 2010, HYDROL RES, V41, P282, DOI 10.2166/nh.2010.123
   Olsson J, 2015, J HYDROMETEOROL, V16, P534, DOI 10.1175/JHM-D-14-0007.1
   Patacca M, 2023, GLOBAL CHANGE BIOL, V29, P1359, DOI 10.1111/gcb.16531
   Poudel BC, 2011, BIOMASS BIOENERG, V35, P4340, DOI 10.1016/j.biombioe.2011.08.005
   Raffa KF, 2015, CABI CLIM CHANGE SER, V7, P173, DOI 10.1079/9781780643786.0173
   Reckermann M, 2022, EARTH SYST DYNAM, V13, P1, DOI 10.5194/esd-13-1-2022
   Sandgren A., 2021, Energiforsk, 2021, P741
   Scharff R., 2023, Energiforsk 2023, P924
   Shukla P.R., 2022, CLIMATE CHANGE 2022, DOI [10.1017/9781009157926.00, DOI 10.1017/9781009157926.00, DOI 10.1017/9781009157926]
   SMHI (Swedish Meteorological and Hydrological Institute), 2021, ADV CLIMATE CHANGE S
   Solaun K, 2019, RENEW SUST ENERG REV, V116, DOI 10.1016/j.rser.2019.109415
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Swedish Energy Markets Inspectorate Energimarknadsinpektionen., 2022, Ei R2022:0
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Tobin I, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aab211
   Torma C, 2015, J GEOPHYS RES-ATMOS, V120, P3957, DOI 10.1002/2014JD022781
   Vautard R, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2019JD032344
   Venäläinen A, 2020, GLOBAL CHANGE BIOL, V26, P4178, DOI 10.1111/gcb.15183
   Wilcke RAI, 2013, CLIMATIC CHANGE, V120, P871, DOI 10.1007/s10584-013-0845-x
NR 56
TC 0
Z9 0
U1 3
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD APR
PY 2024
VL 34
AR 100486
DI 10.1016/j.cliser.2024.100486
EA MAY 2024
PG 15
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA TP4E1
UT WOS:001242442300001
OA gold
DA 2025-01-10
ER

PT J
AU Gray, S
AF Gray, Summer
TI Rethinking disaster utopia: the limits of conspicuous resilience for
   community-based recovery and adaptation
SO DISASTERS
LA English
DT Article
DE climate adaptation; community resilience; environmental privilege; just
   recovery; post-disaster recovery
ID VULNERABILITY; RISK; VOLUNTEERISM; MANAGEMENT; CRITIQUE; JUSTICE
AB While some communities appear to blossom in the wake of a disaster, others are left to struggle in the ashes. This paper introduces the concept of 'conspicuous resilience' to understand how emergent community-based recovery efforts privilege some needs while marginalising others, contributing to uneven forms of recovery. Drawing on a qualitative case study of the deadly Montecito debris flow in Southern California, United States, in January 2018, an in-depth examination of emergent community-based resilience efforts is gauged next to the social construction of unmet needs. Conspicuous acts of resilience centred around gaps in social and financial support as well as desires for protection from future debris flows. In defining and addressing needs, community-based interventions mirrored existing social inequalities and uneven relationships of power, promoting a false sense of equality and security while reinforcing private interests. To address the limits of conspicuous resilience, a justice-oriented politics of disaster recovery is needed.
C1 [Gray, Summer] Univ Calif Santa Barbara, Environm Studies Program, Santa Barbara, CA USA.
   [Gray, Summer] Univ Calif Santa Barbara, Environm Studies Program, 4312 Bren Hall, Santa Barbara, CA 93106 USA.
C3 University of California System; University of California Santa Barbara;
   University of California System; University of California Santa Barbara
RP Gray, S (corresponding author), Univ Calif Santa Barbara, Environm Studies Program, 4312 Bren Hall, Santa Barbara, CA 93106 USA.
EM summer_gray@ucsb.edu
RI Gray, Summer/IAR-7668-2023
OI Gray, Summer/0000-0003-1661-179X
CR Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Allen BL, 2013, SCI TECHNOL HUM VAL, V38, P224, DOI 10.1177/0162243912470726
   Anguelovski I, 2022, ENVIRON JUSTICE, V15, P1, DOI 10.1089/env.2021.0014
   [Anonymous], 2018, SANTA BARBARA INDEPE
   Bankoff G, 2019, DISASTERS, V43, P221, DOI 10.1111/disa.12312
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Beresford H., 2021, HUM FERTIL, V12
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   Bolin Bob., 2018, HDB DISASTER RES, P181, DOI [10.1007/978-3-319-63254-410, DOI 10.1007/978-3-319-63254-410, DOI 10.1007/978-3-319-63254-4_10]
   Bolin R, 1998, DISASTERS, V22, P21, DOI 10.1111/1467-7717.00073
   Bonds A, 2018, URBAN GEOGR, V39, P1285, DOI 10.1080/02723638.2018.1462968
   Burgess R.G., 1984, FIELD INTRO FIELD RE
   Caldeira TPR, 1996, PUBLIC CULTURE, V8, P303, DOI 10.1215/08992363-8-2-303
   Carroll Rory, 2018, The Guardian
   Chandler D, 2001, HUM RIGHTS QUART, V23, P678, DOI 10.1353/hrq.2001.0031
   Chandler D, 2019, RESILIENCE-ABINGDON, V7, P304, DOI 10.1080/21693293.2019.1605660
   County of Santa Barbara, 2018, COMM M MONT UN SCH 1
   County of Santa Barbara, 2018, YOUTUBE
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2021, ANN AM ASSOC GEOGR, V111, P819, DOI 10.1080/24694452.2020.1744423
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dowling CA, 2014, NAT HAZARDS, V71, P203, DOI 10.1007/s11069-013-0907-4
   Drabek T.E., 2003, DISASTER PREV MANAG, V12, P97, DOI DOI 10.1108/09653560310474214
   Dynes R.R., 1970, ORG BEHAV DISASTER
   Ehrenreich Barbara., 2009, The New York Times
   Einstein Mara., 2012, Compassion, Inc.: How Corporate America Blurs the Line between What We Buy, Who We Are
   Etehad M., 2017, Los Angeles Times
   Fainstein S, 2015, INT J URBAN REGIONAL, V39, P157, DOI 10.1111/1468-2427.12186
   Fainstein SS, 2018, URBAN GEOGR, V39, P1268, DOI 10.1080/02723638.2018.1448571
   Flaherty Jordan., 2016, No More Heroes: Grassroots Challenges to the Savior Mentality
   Foreman J., 2018, NOOZHAWK
   Fougère M, 2021, IND INNOV, V28, P1, DOI 10.1080/13662716.2019.1709420
   Freudenburg WilliamR., 1997, CURR SOCIOL, V45, P19, DOI [DOI 10.1177/001139297045003002, 10.1177/001139297045003002]
   Garcia B., 2018, SANTA BARBARA INDEPE
   Goto E.A., 2020, UNDERSTANDING REDUCI, P435
   Goto EA, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102400
   Gould KA, 2021, FRONT SUSTAIN CITIES, V3, DOI 10.3389/frsc.2021.687670
   Grove K, 2020, ANN AM ASSOC GEOGR, V110, P1613, DOI 10.1080/24694452.2020.1715778
   Grydehoj A, 2017, AREA, V49, P106, DOI 10.1111/area.12300
   Guidi R, 2018, MOTHER JONES
   Gurrola L., 2020, GEOLOGICAL SOC AM AB, V52, DOI [10.1130/abs/2020CD-347529, DOI 10.1130/ABS/2020CD-347529]
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jerolleman Alessandra., 2019, Disaster Recovery Through the Lens of Justice
   Keller E, 2020, GEOMORPHOLOGY, V366, DOI 10.1016/j.geomorph.2019.04.001
   Kelman I, 2015, INT J DISAST RISK SC, V6, P21, DOI 10.1007/s13753-015-0038-5
   Klein N., 2007, The Shock Doctrine: The Rise of Disaster Capitalism
   Kothari U, 2010, THIRD WORLD Q, V31, P1395, DOI 10.1080/01436597.2010.538239
   Langdon S, 2019, AM SURGEON, V85, P1094
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Libowitz S, 2021, MONTECITO J
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Nguyen MT, 2014, J AM PLANN ASSOC, V80, P385, DOI 10.1080/01944363.2014.986497
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   Méndez M, 2020, GEOFORUM, V116, P50, DOI 10.1016/j.geoforum.2020.07.007
   Meriläinen E, 2020, DISASTERS, V44, P125, DOI 10.1111/disa.12367
   MERTON RK, 1969, COMMUNITIES DISASTER, pR7
   Morain T., 2018, DIRECT RELIEF
   Moser S, 2019, CLIMATIC CHANGE, V153, P21, DOI 10.1007/s10584-018-2358-0
   Movement Strategy Center Movement Generation The Praxis Project and Reimagine! RPE, 2015, PATHW RES TRANSF CIT
   Muñoz CE, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13050507
   Murray AT, 2021, APPL SPAT ANAL POLIC, V14, P497, DOI 10.1007/s12061-020-09357-0
   NEAL DM, 1995, DISASTERS, V19, P327, DOI 10.1111/j.1467-7717.1995.tb00353.x
   Nickel PM, 2009, AM BEHAV SCI, V52, P974, DOI 10.1177/0002764208327670
   Olshansky RB, 2012, NAT HAZARDS REV, V13, P173, DOI 10.1061/(ASCE)NH.1527-6996.0000077
   2021, OUR STORY
   Pais JF, 2008, SOC FORCES, V86, P1415, DOI 10.1353/sof.0.0047
   Park LSH, 2019, MOBILITIES-UK, V14, P395, DOI 10.1080/17450101.2019.1601397
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Radeloff VC, 2018, P NATL ACAD SCI USA, V115, P3314, DOI 10.1073/pnas.1718850115
   Ranganathan M, 2021, ANTIPODE, V53, P115, DOI 10.1111/anti.12555
   Schaer C, 2015, INT J CLIM CHANG STR, V7, P534, DOI 10.1108/IJCCSM-03-2014-0038
   Schleuss J., 2018, LOS ANGELES TIMES
   Sheller M, 2018, TEMPO SOC, V30, P17
   Simpson B, 2015, ANNU REV SOCIOL, V41, P43, DOI 10.1146/annurev-soc-073014-112242
   Solnit R., 2010, A Paradise Built in Hell: The Extraordinary Communities That Arise in Disaster
   Stake R. E., 1995, ART CASE STUDY RES
   The Project for Resilient Communities, 2019, MONT EM DEBR FLOW MI
   Tierney K., 2019, DISASTERS SOCIOLOGIC
   Tilden M.S., 2022, 2021105 CAL STAT AUD
   United States Census Bureau, 2020, MONT CDP CAL
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Whittaker J., 2015, 2015063 CRC BUSHF NA
   Whittaker J, 2015, INT J DISAST RISK RE, V13, P358, DOI 10.1016/j.ijdrr.2015.07.010
   Wilson S., 2017, WASH POST
   WOLENSKY RP, 1979, J VOLUNT ACTION RES, V8, P33, DOI 10.1177/089976407900800306
NR 85
TC 6
Z9 6
U1 2
U2 19
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0361-3666
EI 1467-7717
J9 DISASTERS
JI Disasters
PD JUL
PY 2023
VL 47
IS 3
BP 608
EP 629
DI 10.1111/disa.12567
EA MAR 2023
PG 22
WC Environmental Studies; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Social Sciences - Other Topics
GA I6XO2
UT WOS:000943984800001
PM 36345250
OA hybrid
DA 2025-01-10
ER

PT J
AU Huq, E
   Shafique, T
AF Huq, Efadul
   Shafique, Tanzil
TI People move, policies don't: discursive partition against
   climate-impacted dwellers in urbanizing Bangladesh
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE climate migration; discursive partition; epistemicide; global South;
   urban adaptation
ID INFORMAL SETTLEMENTS; CHANGE ADAPTATION; RESILIENCE; JUSTICE;
   IMPLEMENTATION; VULNERABILITY; KNOWLEDGE; MIGRANTS; HISTORY; POVERTY
AB In Bangladesh, internal climate displacement will continue pushing millions to the urbanizing centres where migrants make homes in informal settlements. These settlements, too, are sites for climate hazards such as heat stress and flooding, affecting climate-displaced and economic migrants alike. The demands of growing migrant populations and long-term informal settlement dwellers converge around rights to secure land and housing, acknowledged in policies at both national and urban scales. Yet, settlements continue to face evictions, revealing a significant mismatch between policy aspirations and concrete urban planning strategies. Based on our ongoing research in the informal settlements of Dhaka, Bangladesh, we point to a structural condition we call discursive partition which continues to exclude climate-impacted dwellers from urban resilience policies despite their formal recognition in national climate policies. Based on evidence of how climate-impacted dwellers themselves lead urban adaptation, we point to three critical revisitations for just climate adaptation plans.
C1 [Huq, Efadul] Sith Coll, Environm Sci & Policy, Northampton, MA 01063 USA.
   [Shafique, Tanzil] Univ Sheffield, Arts Tower Level 14 19, Sheffield S10 2TN, England.
C3 University of Sheffield
RP Huq, E (corresponding author), Sith Coll, Environm Sci & Policy, Northampton, MA 01063 USA.
EM ehuq@smith.edu; t.i.shafique@sheffield.ac.uk
OI Shafique, Tanzil Idmam/0000-0002-6315-4539; Huq,
   Efadul/0000-0001-5235-4896
CR Adri N, 2018, CLIM DEV, V10, P321, DOI 10.1080/17565529.2017.1291402
   Ahmed Kaamil., 2022, GUARDIAN
   Al Jazeera, 2021, CLIMATE CRISIS  0110
   Alam K, 2011, IDS BULL-I DEV STUD, V42, P52, DOI 10.1111/j.1759-5436.2011.00222.x
   Alam MJ, 2010, INT J URBAN SUSTAIN, V2, P85, DOI 10.1080/19463138.2010.512809
   Althor G, 2016, SCI REP-UK, V6, DOI 10.1038/srep20281
   Angeles G, 2009, INT J HEALTH GEOGR, V8, DOI 10.1186/1476-072X-8-32
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   [Anonymous], 2022, WORLD POPULATION REV
   Araos M, 2017, J ENVIRON POL PLAN, V19, P682, DOI 10.1080/1523908X.2016.1264873
   Ayers JM, 2014, WIRES CLIM CHANGE, V5, P37, DOI 10.1002/wcc.226
   Bacchi C., 2010, FREIA FEM RES CENT A, VVol. 74, P1, DOI DOI 10.5278/FREIA.33190049
   Bacchi Carol., 2000, DISCOURSE, V21, P45
   Baker JL., 2007, BANGLADESH DHAKA IMP
   Bangladesh Bureau of Statistics, 2014, Census of Slum Areas and Floating Population 2014
   Barrett S, 2013, PROG HUM GEOG, V37, P215, DOI 10.1177/0309132512448270
   Bloomberg, 2022, BLOOMBERG       0628
   Castellano R, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0249315
   Chu E, 2019, ENVIRON URBAN, V31, P139, DOI 10.1177/0956247818814449
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Cities Alliance, 2009, CLIM MIGR DRIV SLUM
   Clement V, 2021, Groundswell Part II, DOI 10.1596/36248
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Cooke K., 2018, OXFORD POLICY MANAGE
   Dalsgaard J L T., 2020, UNDERWATER CITY SLUM, P1
   DE SOUSA SANTOS B., 2015, Epistemologies of the South: Justice against Epistemicide, DOI 10.4324/9781315634876
   Department of Economic and Social Affairs, 2018, 68% of the world population projected to live in urban areas by 2050
   Displacement Solutions, 2012, CLIM DISPL BANGL NEE
   Dodman D, 2019, ENVIRON URBAN, V31, P3, DOI 10.1177/0956247819830004
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Ezeh A, 2017, LANCET, V389, P547, DOI 10.1016/S0140-6736(16)31650-6
   Fattah KN, 2020, SOC INCL, V8, P55, DOI 10.17645/si.v8i1.2318
   Fisher S, 2015, GEOGR J, V181, P73, DOI 10.1111/geoj.12078
   Fricker M, 2008, THEORIA-SPAIN, V23, P69
   Geldin S, 2019, ENVIRON URBAN, V31, P13, DOI 10.1177/0956247818776532
   Goh K, 2020, URBAN STUD, V57, P2222, DOI 10.1177/0042098018807306
   GOUVERNEUR D., 2014, Planning and Design for Future Informal Settlements. s.l
   Castro JAG, 2019, ENVIRON URBAN, V31, P75, DOI 10.1177/0956247819827850
   Hambati H, 2018, J ENVIRON PLANN MAN, V61, P1758, DOI 10.1080/09640568.2017.1372274
   Handzic K, 2010, HABITAT INT, V34, P11, DOI 10.1016/j.habitatint.2009.04.001
   Hardoy J, 2019, ENVIRON URBAN, V31, P33, DOI 10.1177/0956247819825539
   Harlan SharonL., 2015, Climate Change and Society: Sociological Perspectives, P127, DOI DOI 10.1093/ACPROF:OSO/9780199356102.003.0005
   Hasina S., 2021, THE GUARDIAN    0825
   Huq E., 2020, THE DAILY STAR  0218
   Huq E, 2020, PLAN THEORY PRACT, V21, P351, DOI 10.1080/14649357.2020.1776376
   Huq S., 2019, CONFRONTING CLIMATE, V28
   Internal Displacement Monitoring Centre, 2022, GLOB INT DISPL DAT
   Islam, 2021, BUSINESS STANDARD
   Islam S.N., 2017, Climate Change and Social Inequality
   Jabeen H, 2019, ENVIRON URBAN, V31, P115, DOI 10.1177/0956247819828274
   Jacobs K., 2006, URBAN POLICY RES, V24, P39, DOI [DOI 10.1080/08111140600590817, 10.1080/08111140600590817]
   Jones G., 2016, URBANIZATION MIGRATI
   Kabir M E., 2021, CONVERSATION    1223
   Kashwan P, 2021, CURR HIST, V120, P326
   Kazi S., 2022, WORLD BANK BLOG 1001
   Khan MR, 2021, SCIENCE, V372, P1290, DOI 10.1126/science.abi6364
   Lang T., 2018, RESILIENCE MACHINE, P144
   Lowenkron H., 2021, BLOOMBERG       0618
   McNamara K.E., 2016, MIGR DEV, V5, P1, DOI [10.1080/21632324.2015.1082231, DOI 10.1080/21632324.2015.1082231]
   Meila A D., 2018, PSYCHOSOCIOLOGICAL I, V6, P115
   Ministry of Disaster Management and Relief, 2013, STUD REP NONF LIV AD
   Mohtat N, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100951
   Morshed MM, 2014, HABITAT INT, V44, P386, DOI 10.1016/j.habitatint.2014.08.004
   Munira S., 2021, DHAKA TRIBUNE
   Murshed S B., 2020, AGU FALL M ABSTRACTS, V2020
   Nagar Richa., 2019, Hungry Translations: Remaking the World through Radical Vulnerability
   Collado JRN, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102791
   Olazabal M, 2021, ONE EARTH, V4, P828, DOI 10.1016/j.oneear.2021.05.006
   Oxfam International, 2018, Just 8 Men Own Same Wealth as Half the World
   Pacheco-Vega R, 2020, Handbook of Research Methods and Applications in Comparative Policy Analysis, P312
   Popovski V, 2012, SUSTAIN SCI, V7, P5, DOI 10.1007/s11625-011-0138-0
   Porter L, 2020, PLAN THEORY PRACT, V21, P293, DOI 10.1080/14649357.2020.1748959
   Rahaman M.M., 2016, Journal of Water Resource Engineering and Management, V3, P15
   Rana M.M. P., 2021, Environmental Challenges, V5, P100242, DOI DOI 10.1016/J.ENVC.2021.100242
   Recio RB, 2022, INT J HOUS POLICY, V22, P106, DOI 10.1080/19491247.2021.2019883
   Roberts JE, 2007, MENT RETARD DEV D R, V13, P26, DOI 10.1002/mrdd.20136
   Roy J., 2021, THE ATLANTIC  1019
   Ryder SS, 2018, ENERGY RES SOC SCI, V45, P266, DOI 10.1016/j.erss.2018.08.005
   Sachs J., 2022, Sustainable Development Report 2022: From Crisis to Sustainable Development: The SDGs as Roadmap to 2030 and Beyond, DOI 10.1017/9781009210058
   Satterthwaite D, 2020, ONE EARTH, V2, P143, DOI 10.1016/j.oneear.2020.02.002
   Schofield D, 2019, ENVIRON URBAN, V31, P93, DOI 10.1177/0956247819830074
   Shafique T, 2022, HOUSING STUD, V37, P1015, DOI 10.1080/02673037.2021.1988065
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Siddiqui T., 2015, NATL STRATEGY MANAGE
   Stephens C., 2018, URBANISATION, V3, P108
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Sverdlik A., 2019, REALISING MULTIPLE B
   Sverdlik A, 2011, ENVIRON URBAN, V23, P123, DOI 10.1177/0956247811398604
   Thynell M, 2018, ROU RES URBAN ASIA, P15
   Titumir R.A.M., 2021, NUMBERS NARRATIVES B, P177
   Tran M., 2019, TRANSFORMATIVE ADAPT
   Trundle A, 2019, ENVIRON URBAN, V31, P53, DOI 10.1177/0956247818816654
   Vlassopoulos ChloeAnne., 2013, Disentangling Migration and Climate Change, P145, DOI DOI 10.1007/978-94-007-6208-4_6
   weADAPT, 2022, MAP CAS STUD BANGL
   Westman L, 2021, LOCAL ENVIRON, V26, P536, DOI 10.1080/13549839.2021.1916903
   Williams DS, 2019, ENVIRON URBAN, V31, P157, DOI 10.1177/0956247818819694
   Zamindar VaziraFazilah-Yacoobali., 2007, LONG PARTITION MAKIN
NR 98
TC 4
Z9 4
U1 3
U2 11
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 APR
PY 2023
VL 35
IS 1
BP 91
EP 110
DI 10.1177/09562478221149863
EA FEB 2023
PG 20
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA I0TD4
UT WOS:000927793300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Curran-Groome, W
   Haygood, H
   Hino, M
   BenDor, TK
   Salvesen, D
AF Curran-Groome, William
   Haygood, Hallee
   Hino, Miyuki
   BenDor, Todd K.
   Salvesen, David
TI Assessing the full costs of floodplain buyouts
SO CLIMATIC CHANGE
LA English
DT Article
DE Floodplain buyouts; Climate adaptation; Hazard mitigation; Environmental
   finance; Flood policy; Municipal finance
ID MANAGED RETREAT; GOOGLE SCHOLAR; POLICY
AB Given projected increases in flood damages, managed retreat strategies are likely to become more widespread. Voluntary buyouts, where governments acquire flood-damaged properties and return the sites to open space, have been the primary form of federally funded retreat in the USA to date. However, little attention has been paid to the cost structure of buyout projects. Using a transaction cost framework, we analyze the costs of activities that comprise floodplain buyouts. Federal data do not distinguish transaction costs, but they do suggest that the cost of purchasing properties often accounts for 80% or less of total project costs. Through a systematic review (n = 1103 publications) and an analysis of government budgets (across n = 859 jurisdiction-years), we find limited sources with relevant cost information, none of which reports transaction costs. The absence of activity-level cost data inhibits more targeted policy reform to support community-driven and efficient buyout programs. Better data collection and reporting can inform more impactful and equitable buyout policy.
C1 [Curran-Groome, William; Haygood, Hallee; Hino, Miyuki; BenDor, Todd K.] Univ North Carolina Chapel Hill, Dept City & Reg Planning, New East Bldg,Campus Box 3140, Chapel Hill, NC 27599 USA.
   [Salvesen, David] Univ North Carolina Chapel Hill, Inst Environm, 100 Europa Dr Suite 490, Chapel Hill, NC 27517 USA.
C3 University of North Carolina School of Medicine; University of North
   Carolina; University of North Carolina Chapel Hill; University of North
   Carolina; University of North Carolina Chapel Hill; University of North
   Carolina School of Medicine
RP BenDor, TK (corresponding author), Univ North Carolina Chapel Hill, Dept City & Reg Planning, New East Bldg,Campus Box 3140, Chapel Hill, NC 27599 USA.
EM bendor@unc.edu
RI ; BenDor, Todd/E-1375-2016
OI Hino, Miyuki/0000-0001-9369-5769; BenDor, Todd/0000-0003-0132-7702
FU North Carolina Policy Collaboratory; US National Science Foundation
   under Coastal SEES Grant [1427188]; US National Science Foundation under
   Geography and Spatial Sciences [1660450]; Division Of Behavioral and
   Cognitive Sci; Direct For Social, Behav & Economic Scie [1660450]
   Funding Source: National Science Foundation; Division Of Environmental
   Biology; Direct For Biological Sciences [1427188] Funding Source:
   National Science Foundation
FX This paper is based on work supported by the North Carolina Policy
   Collaboratory and through the US National Science Foundation under
   Coastal SEES Grant No. 1427188 and Geography and Spatial Sciences Grant
   No. 1660450. We would also like to thank Chris Crew (NC Division of
   Emergency Management).
CR Anders ME, 2010, RESP CARE, V55, P578
   [Anonymous], 2021, INCL GUID WEBM
   [Anonymous], 2018, 4 NATL CLIMATE ASSES
   Baker CK, 2018, RISK HAZARDS CRISIS, V9, P455, DOI 10.1002/rhc3.12144
   BenDor TK, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000380
   Binder SB, 2020, DISASTER PREV MANAG, V29, P497, DOI 10.1108/DPM-09-2019-0298
   Binder SB, 2016, POLITICS GOV, V4, P97, DOI 10.17645/pag.v4i4.738
   Boet-Whitaker, 2017, THESIS
   Borough of Manville, 2019, ANN FIN STAT 2019
   BRYSON JM, 1990, POLICY SCI, V23, P205, DOI 10.1007/BF00144230
   Buitelaar E, 2004, URBAN STUD, V41, P2539, DOI 10.1080/0042098042000294556
   City of Mason City, 2015, COMPR ANN FIN REP 20
   City of Waverly, 2015, AG MEM CIT COUNC M
   Cleveland J., 2019, INNOVATION NETWORK C
   Conrad D.R., 1998, HIGHER GROUND REPORT
   Curti, 2015, THESIS
   Davenport FV, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2017524118
   Dyckman CS, 2014, OCEAN COAST MANAGE, V102, P212, DOI 10.1016/j.ocecoaman.2014.09.010
   Feiock RC., 2001, M SO POL SCI ASS
   FEMA, 2021, LOSS AV STUD BIRM AL
   FEMA, HAZ MIT ASS GUID 201
   FEMA, 2021, OPENFEMA DAT HAZ MIT
   FEMA, 2013, LOSS AV STUD AUST MI
   FEMA, 2015, HAZ MIT ASS GUID ADD
   FEMA, 2020, OPENFEMA DAT HAZ MIT
   FEMA, 2018, 30 YEARS HAZ MIT ASS
   FEMA, 2020, FREQUENTLY ASKED QUE
   FEMA, 2021, OpenFEMA dataset: hazard mitigation assistance mitigated properties - V2
   FEMA, 2011, MIT BEST PRACT PUBL
   Florida Department of Environmental Protection, 2015, LEARN YOUR WAT TAMP
   Fraser J.C., 2003, Implementing Floodplain Land Acquisition Programs in Urban Localities
   Freeman MK, 2009, ANN PHARMACOTHER, V43, P478, DOI 10.1345/aph.1L223
   Freudenberg R., 2016, Buy-in for buyouts: the case for managed retreat from flood zones
   Green Acres Program, 2004, 2005 2007 LAND PRES
   Greer A, 2017, HOUS POLICY DEBATE, V27, P372, DOI 10.1080/10511482.2016.1245209
   Gruntfest E, 1987, WHAT WE HAV LEARN BI, P245
   Haddaway NR., 2017, ROSES FLOW DIAGRAM S
   Hamel L., 2018, ONE YEAR STORM TEXAS
   Harvey, 2017, THESIS
   Harzing AW, 2007, Publish or Perish Internet
   HUD, 2013, DIS REC BUY PROGR GU
   HUD/, 2019, COMMUNITY DEV BLOCK
   Hulse K, 2020, HOUSING STUD, V35, P981, DOI 10.1080/02673037.2019.1644297
   Jamhour N, 2016, CLIMATE CHANGE RESIL
   Kick EL, 2011, DISASTERS, V35, P510, DOI 10.1111/j.1467-7717.2011.01226.x
   Kummerer S, 2019, ITS YOUR MONEY CONWA
   Mach KJ, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax8995
   McGinty A.A., 2017, URBAN ENV POLICY PLA, P105
   Meyer V, 2012, NAT HAZARDS, V62, P301, DOI 10.1007/s11069-011-9997-z
   Moscovitz, 2018, THESIS
   Muñoz CE, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13050507
   Nelson KS, 2020, ANTHROPOCENE, V31, DOI 10.1016/j.ancene.2020.100246
   NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97
   OCLC, 2020, WORLDCAT
   Office of Program Policy Analysis and Government Accountability, 2018, SEX OFF REG MON TRIE
   Peterson K, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122310112
   Pinter N, 2005, SCIENCE, V308, P207, DOI 10.1126/science.1108411
   Shahab S, 2018, J AM PLANN ASSOC, V84, P61, DOI 10.1080/01944363.2017.1406816
   Siders AR, 2019, CLIMATIC CHANGE, V152, P239, DOI 10.1007/s10584-018-2272-5
   Siders AnneR., 2013, Anatomy of a Buyout - New York Post-Superstorm Sandy
   Siders AR, SSRN ELECT J
   Smith R., 2014, INT COMMUN GAZ
   Tarlock AD, 2012, NEW CHALLENGES URBAN
   Tate E, 2016, NAT HAZARDS, V80, P2055, DOI 10.1007/s11069-015-2060-8
   UNC CRC, 2018, 2018 7 SPRINGS REC P
   UNC Institute of the Environment, 2016, CAS STUD KEN COUNT W
   United States Government Accountability Office, 2018, BLUEPRINT BUYOUT BLU
   Weber A., 2019, Going Under: Long wait times for post-flood buyouts leave homeowners underwater
   Weber Anna, BLUEPRINT BUYOUT CHA
   Wing OEJ, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaac65
   Zavar E, 2016, DISASTER PREV MANAG, V25, P360, DOI 10.1108/DPM-01-2016-0021
NR 71
TC 11
Z9 14
U1 0
U2 7
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD SEP
PY 2021
VL 168
IS 1-2
AR 3
DI 10.1007/s10584-021-03178-x
PG 23
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 UQ1KP
UT WOS:000695830300001
PM 34538989
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Well, F
   Ludwig, F
AF Well, Friederike
   Ludwig, Ferdinand
TI Development of an Integrated Design Strategy for Blue-Green Architecture
SO SUSTAINABILITY
LA English
DT Article
DE blue-green systems; building greening; water management; integrated
   planning; research by design; design strategy; grey water; climate
   adaption
ID URBAN HEAT-ISLAND; WATER
AB Blue-green architecture entails buildings that contribute to improving the urban climate through the synergetic combination of water management and vegetation. They are part of an urban blue-green infrastructure network that combines ecosystem services in a multifunctional way. Projects implemented in an interdisciplinary manner create synergies with regard to the combination of water-related and vegetation-related objectives. However, applicable design strategies for this approach are currently lacking in practice. This paper investigates the approach of a blue-green architectural project in Stuttgart (the so called "Impulse Project") and derives insights for an integrated design strategy. The analysis and transfer of the research is carried out by using the research by design methodology. For this purpose, the interdisciplinary design process is divided into three phases (pre-design, design, post-design) and described in detail. Reflection on the documented design reveals the knowledge gained and enables the transfer of the findings to future projects by means of the integrated design strategy for blue-green architecture.
C1 [Well, Friederike; Ludwig, Ferdinand] Tech Univ Munich, Sch Engn & Design, Dept Architecture, D-80333 Munich, Germany.
C3 Technical University of Munich
RP Well, F (corresponding author), Tech Univ Munich, Sch Engn & Design, Dept Architecture, D-80333 Munich, Germany.
EM friederike.well@tum.de; ferdinandludwig@tum.de
RI Well, Friederike/HSE-7763-2023
OI Well, Friederike/0000-0002-2945-2321; Ludwig,
   Ferdinand/0000-0001-5877-5675
FU Bundesministerium fur Bildung und Forschung [01 LR 1705D]
FX This research was funded by Bundesministerium fur Bildung und Forschung,
   grant number 01 LR 1705D.
CR Biggs M.A.R, 2014, CITY TERRIT ARCH, V1, P6, DOI [10.1186/s40410-014-0016-z, DOI 10.1186/S40410-014-0016-Z]
   Borowski PF, 2020, AIMS GEOSCI, V6, P397, DOI 10.3934/geosci.2020022
   Brears R.C., 2018, BLUE GREEN CITIES RO
   Bundesamt fur Naturschutz, 2017, URB GRUN INFR GRUNDL URB GRUN INFR GRUNDL
   Bus A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13042403
   Dover J.W., 2018, NATURE BASED STRATEG, P3
   Dreiseitl H., 2015, Dense + Green: Innovative Building Types for Sustainable Urban Architecture, P48
   Ghofrani Z., 2017, International Journal of Environment and Sustainability, V6, DOI DOI 10.24102/IJES.V6I1.728
   Grant Gary., 2016, The Water Sensitive City
   Grilo F, 2020, SCI TOTAL ENVIRON, V724, DOI 10.1016/j.scitotenv.2020.138182
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Hameed H, 2020, MALDIVES NATL J RES, V8, P8
   Heidary Al., 2014, INFLUENCE NOZZLE TYP, P7
   Heidemann A., 2014, INTEGRALE PLANUNG GE
   Kimbell L, 2011, DES CULT, V3, P285, DOI 10.2752/175470811X13071166525216
   Knoop H, 2021, DIMENSIONS J ARCH KN, V1, P111, DOI [10.14361/dak-2021-0114, DOI 10.14361/DAK-2021-0114]
   Kocsis G., 1988, WASSER NUTZEN VERBRA, V2
   Kohler Manfred, 2015, Living Wall Systems-toward a New Technology in Climate Architecture
   Kruse E., 2015, INTEGRIERTES REGENWA
   Kuller M, 2019, SCI TOTAL ENVIRON, V686, P856, DOI 10.1016/j.scitotenv.2019.06.051
   Kurath M, 2015, SCI TECHNOL STUD, V28, P81
   Landeshauptstadt Stuttgart, STADTKL STUTTG DOWNL STADTKL STUTTG DOWNL
   Landeshauptstadt Stuttgart, ROS QUART ROS QUART
   Li FY, 2009, SCI TOTAL ENVIRON, V407, P3439, DOI 10.1016/j.scitotenv.2009.02.004
   Perini K, 2013, URBAN ECOSYST, V16, P265, DOI 10.1007/s11252-012-0262-3
   Potz H., 2012, URBAN GREEN BLUE GRI
   Prominski M, 2016, J LANDSC ARCHIT, V11, P26, DOI 10.1080/18626033.2016.1188565
   Roggema R, 2017, URBAN SCI, V1, DOI 10.3390/urbansci1010002
   Rozos E, 2013, WATER SCI TECH-W SUP, V13, P1534, DOI 10.2166/ws.2013.140
   Schaffner W., 2013, ENTWURFSBASIERT FORS, P55
   Schobel S., 2021, DIMENSIONS J ARCH KN, V1, P99, DOI [10.14361/dak-2021-0113, DOI 10.14361/DAK-2021-0113]
   Sundermeier M., 2020, MOD GEBAUDETECHNIK MOD GEBAUDETECHNIK, V5, P48
   Susca T, 2011, ENVIRON POLLUT, V159, P2119, DOI 10.1016/j.envpol.2011.03.007
   UNESCO World Water Assessment Programme, 2019, UN WORLD WAT DEV REP
   United Nations World Water Assessment Programme (WWAP), 2018, UN WORLD WAT DEV REP
   Well F, 2020, FRONT ARCHIT RES, V9, P191, DOI 10.1016/j.foar.2019.11.001
   Winker M., 2019, KOPPLUNGSM GLICHKEIT
   Winker M, 2019, APPROACHES TO WATER SENSITIVE URBAN DESIGN: POTENTIAL, DESIGN, ECOLOGICAL HEALTH, URBAN GREENING, ECONOMICS, POLICIES, AND COMMUNITY PERCEPTIONS, P431, DOI 10.1016/B978-0-12-812843-5.00021-6
NR 38
TC 5
Z9 5
U1 7
U2 47
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2021
VL 13
IS 14
AR 7944
DI 10.3390/su13147944
PG 25
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA TO7YK
UT WOS:000677121700001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Risk, C
   McKenney, DW
   Pedlar, J
   Lu, PX
AF Risk, Clara
   McKenney, Daniel W.
   Pedlar, John
   Lu, Pengxin
TI A compilation of North American tree provenance trials and relevant
   historical climate data for seven species
SO SCIENTIFIC DATA
LA English
DT Article; Data Paper
ID ASSISTED MIGRATION; QUERCUS-RUBRA; GENETIC-VARIATION; BLACK SPRUCE;
   WHITE-PINE; GROWTH; ONTARIO; CANADA; LARCH
AB Tree provenance trials consist of a variety of seed sources (or provenances) planted at several test sites across the range of a species. The resulting plantations are typically measured periodically to investigate provenance performance in relation to abiotic conditions, particularly climate. These trials are expensive and time consuming to establish, but are an important resource for seed transfer systems, which aim to match planting sites with well-adapted (climatically suitable) seed sources. Provenance trial measurements may be underutilized because the data are scattered across publications, conference proceedings, and university theses. Here we document an effort to collect available provenance trial measurements and associated climate data for seven eastern North American tree species (Pinus strobus, Pinus banksiana, Picea glauca, Picea mariana, Quercus rubra, Larix laricina, Betula alleghaniensis). The resulting datasets included a total of 773 provenances and 62 test sites, with 65 historical climate variables appended to each location. We hope this data will support forest managers in making seed transfer decisions, particularly in an era of rapid climate change.
C1 [Risk, Clara; Lu, Pengxin] Ontario Minist Nat Resources & Forestry, Ontario Forest Res Inst, 1235 Queen St East, Sault Ste Marie, ON P6A 2E5, Canada.
   [McKenney, Daniel W.; Pedlar, John] Nat Resources Canada, Great Lakes Forestry Ctr, Canadian Forest Serv, 1219 Queen St East, Sault Ste Marie, ON P6A 2E5, Canada.
C3 Ministry of Natural Resources & Forestry; Natural Resources Canada;
   Canadian Forest Service; Great Lakes Forestry Centre
RP Risk, C (corresponding author), Ontario Minist Nat Resources & Forestry, Ontario Forest Res Inst, 1235 Queen St East, Sault Ste Marie, ON P6A 2E5, Canada.
EM clara.risk@mail.utoronto.ca
OI Risk, Clara/0000-0003-3358-1895
CR Bihun Y, COOPERATIVE FORESTRY, V31, P1
   Carter K, 1985, P 29 NE TREE IMPR C, P77
   Chech F., 1982, P 28 NE TREE IMPR C, P31
   Clausen K, 1968, P 15 NE FOR TREE IMP, P90
   FARMER RE, 1993, CAN J FOREST RES, V23, P1852, DOI 10.1139/x93-235
   Fowler DP., 1969, SILVAE GENET, V18, P97
   FURNIER GR, 1991, CAN J FOREST RES, V21, P707, DOI 10.1139/x91-097
   Garrett P., 1973, USDA FOREST SERVICE
   GENYS JB, 1987, CAN J FOREST RES, V17, P228, DOI 10.1139/x87-039
   Hale K, 1982, P 28 N E TREE IMPR C, P12
   HALL JP, 1983, FOREST CHRON, V59, P14, DOI 10.5558/tfc59014-1
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jensen R, 1954, MINNESOTA FORESTRY N, V25
   KHALIL MAK, 1984, SILVAE GENET, V33, P63
   King. J. P. King. J. P., 1969, Silvae Genetica, V18, P83
   KRIEBEL HB, 1988, SILVAE GENET, V37, P193
   KRIEBEL HB, 1976, SILVAE GENET, V25, P118
   Lawrence K., 2008, FRONTLINE FORESTRY R
   Lesser M, 2005, GENECOLOGY PATTERNS
   LI P, 1992, FOREST CHRON, V68, P709, DOI 10.5558/tfc68709-6
   Lu P, 2020, **DATA OBJECT**, DOI [10.5063/K072NQ, DOI 10.5063/K072NQ]
   Lu PX, 2016, J APPL ECOL, V53, P1088, DOI 10.1111/1365-2664.12647
   MacDonald GB, 1995, FOREST CHRON, V71, P725, DOI 10.5558/tfc71725-6
   Mackey BG, 1996, CAN J FOREST RES, V26, P333, DOI 10.1139/x26-038
   McKenney DW, 2011, B AM METEOROL SOC, V92, P1611, DOI 10.1175/2011BAMS3132.1
   Morgenstern E, 1986, P 30 NE FOR TREE IMP, P188
   Morgenstern K, 2006, FOREST CHRON, V82, P572, DOI 10.5558/tfc82572-4
   O'Neill GA, 2014, FOREST ECOL MANAG, V328, P122, DOI 10.1016/j.foreco.2014.05.039
   Ovaskainen O., 2020, Scientific data, V7
   PARK YS, 1983, SILVAE GENET, V32, P96
   Pedlar JH, 2012, BIOSCIENCE, V62, P835, DOI 10.1525/bio.2012.62.9.10
   Pedlar JH, 2011, FOREST CHRON, V87, P766, DOI 10.5558/tfc2011-093
   Reed D, 1983, P 3 N CENTR TREE IMP, P71
   Schlarbaum S., 1976, P 10 CENTR STAT FOR, P157
   SCHLARBAUM SE, 1981, SILVAE GENET, V30, P50
   Shoenike R., 1962, MINNESOTA FORESTRY N
   Sprackling J., 1975, USDA FOREST SERVICE
   STIELL WM, 1994, FOREST CHRON, V70, P385, DOI 10.5558/tfc70385-4
   Ukrainetz NK, 2011, CAN J FOREST RES, V41, P1452, DOI [10.1139/X11-060, 10.1139/x11-060]
   van Niejenhuis A, 1995, GENECOLOGY JACK PINE
   Weingartner D, P 24 NE TREE IMPR C, P55
   Xu T., 2010, ANUCLIM VERSION 6 1
   Yang J, 2015, FOREST ECOL MANAG, V339, P34, DOI 10.1016/j.foreco.2014.12.001
NR 43
TC 19
Z9 20
U1 2
U2 12
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2052-4463
J9 SCI DATA
JI Sci. Data
PD JAN 26
PY 2021
VL 8
IS 1
AR 29
DI 10.1038/s41597-021-00820-2
PG 8
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA QB1GT
UT WOS:000613890400003
PM 33500421
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Dong, Y
   Frangopol, DM
AF Dong, You
   Frangopol, Dan M.
TI Adaptation Optimization of Residential Buildings under Hurricane Threat
   Considering Climate Change in a Lifecycle Context
SO JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
LA English
DT Article
DE Climate change; Adaptation; Lifecycle loss; Optimization; Residential
   buildings; Hurricanes
ID FRAGILITY ASSESSMENT; RISK-ASSESSMENT; DAMAGE; FRAMEWORK; WIND; COST;
   PREDICTION; MODEL
AB Due to urbanization, the number of residential buildings in coastal areas has increased significantly. Additionally, due to the increase in sea surface temperature associated with climate change, the intensity and frequency of hurricanes has also increased substantially. This paper presents a systematic framework for the optimal adaptation of residential buildings at a large scale under various scenarios of impending climate change during a long-term interval. Different adaptation strategies are investigated to ensure adequate structural performance and to mitigate the damage loss and adverse consequences to society. A genetic algorithm-based optimization process is adopted to determine the optimal adaptation types associated with buildings within an investigated region. The framework considers the probabilistic occurrence models of hurricanes, structural vulnerability of typical residential buildings, possible climate change scenarios, and optimization of various climate adaptation strategies in a lifecycle context. The proposed approach is illustrated on residential buildings located in Miami-Dade County, Florida. (C) 2017 American Society of Civil Engineers.
C1 [Dong, You] Hong Kong Polytech Univ, Struct Engn, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China.
   [Frangopol, Dan M.] Lehigh Univ, Struct Engn & Architecture, Dept Civil & Environm Engn, Engn Res Ctr Adv Technol Large Struct & Syst, 117 ATLSS Dr, Bethlehem, PA 18015 USA.
C3 Hong Kong Polytechnic University; Lehigh University
RP Frangopol, DM (corresponding author), Lehigh Univ, Struct Engn & Architecture, Dept Civil & Environm Engn, Engn Res Ctr Adv Technol Large Struct & Syst, 117 ATLSS Dr, Bethlehem, PA 18015 USA.
EM you.dong@polyu.edu.hk; dan.frangopol@lehigh.edu
RI Dong, You/A-2305-2017; Frangopol, Dan/A-7408-2015
OI Frangopol, Dan/0000-0002-9213-0683; DONG, YOU/0000-0002-2499-0999
FU National Science Foundation (NSF) [CMMI-1537926]; Commonwealth of
   Pennsylvania, Department of Community and Economic Development, through
   the Pennsylvania Infrastructure Technology Alliance (PITA); U.S. Federal
   Highway Administration (FHWA) [DTFH61-07-H-00040]
FX The support from (1) the National Science Foundation (NSF) through Grant
   CMMI-1537926, (2) the Commonwealth of Pennsylvania, Department of
   Community and Economic Development, through the Pennsylvania
   Infrastructure Technology Alliance (PITA), and (3) the U.S. Federal
   Highway Administration (FHWA) Cooperative Agreement Award
   DTFH61-07-H-00040 is gratefully acknowledged. The opinions and
   conclusions presented in this paper are those of the authors and do not
   necessarily reflect the views of the sponsoring organizations.
CR [Anonymous], 2006, ASCE 7-05
   [Anonymous], 1985, Design wind speeds in tropical cyclone-prone regions (Digitized Theses)
   [Anonymous], 2006, Summary report on building performance hurricane Katrina 2005
   Bjarnadottir S, 2011, STRUCT SAF, V33, P173, DOI 10.1016/j.strusafe.2011.02.003
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS21, DOI 10.1007/s10584-007-9377-6
   Cui W, 2016, ENG STRUCT, V122, P209, DOI 10.1016/j.engstruct.2016.05.003
   Dong Y, 2016, J PERFORM CONSTR FAC, V30, DOI 10.1061/(ASCE)CF.1943-5509.0000883
   Dong Y, 2015, EARTHQ SPECTRA, V31, P2255, DOI 10.1193/012214EQS015M
   Dong Y, 2014, J BRIDGE ENG, V19, DOI 10.1061/(ASCE)BE.1943-5592.0000586
   Ellingwood BR, 2004, J STRUCT ENG-ASCE, V130, P1921, DOI 10.1061/(ASCE)0733-9445(2004)130:12(1921)
   Emanuel K, 2005, NATURE, V436, P686, DOI 10.1038/nature03906
   Frangopol D.M., 1997, Structural Engineering International Journal of IABSE, V7, P193
   Frangopol DM, 2017, STRUCT INFRASTRUCT E, V13, P1239, DOI 10.1080/15732479.2016.1267772
   Frangopol DM, 2016, STRUCT INFRASTRUCT E, V12, P1, DOI 10.1080/15732479.2014.999794
   Frangopol DM, 2011, STRUCT INFRASTRUCT E, V7, P389, DOI 10.1080/15732471003594427
   GRAYSON J, 2014, THESIS
   Gurley K., 2005, Florida public hurricane loss projection model engineering team. Final report
   Hallegatte S, 2008, RISK ANAL, V28, P779, DOI 10.1111/j.1539-6924.2008.01046.x
   Huang Z., 1999, THESIS
   Huang ZG, 2001, RELIAB ENG SYST SAFE, V74, P239, DOI 10.1016/S0951-8320(01)00086-2
   Lee KH, 2005, ENG STRUCT, V27, P857, DOI 10.1016/j.engstruct.2004.12.017
   Li QW, 2016, STRUCT SAF, V59, P108, DOI 10.1016/j.strusafe.2016.01.001
   Li Y, 2009, J STRUCT ENG, V135, P159, DOI 10.1061/(ASCE)0733-9445(2009)135:2(159)
   Pinelli JP, 2004, J STRUCT ENG, V130, P1685, DOI 10.1061/(ASCE)0733-9445(2004)130:11(1685)
   PRS (Planning Research Section), 2003, HOUS MIAM DAD COUNT
   Stewart Mark E. M., 2015, AIAA SPACE 2015 Conference and Exposition, P1
   Stewart MG, 2014, NAT HAZARDS REV, V15, DOI 10.1061/(ASCE)NH.1527-6996.0000136
   Unnikrishnan VU, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001469
   van de Lindt JW, 2009, J STRUCT ENG, V135, P169, DOI 10.1061/(ASCE)0733-9445(2009)135:2(169)
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Vickery P. J., 2006, NAT HAZARDS REV, V7, P82, DOI [DOI 10.1061/(ASCE)1527-6988(2006)7:2(82), 10.1061/(ASCE)1527-6988(2006)7:2(94)]
   Vickery PJ, 2000, J STRUCT ENG-ASCE, V126, P1222, DOI 10.1061/(ASCE)0733-9445(2000)126:10(1222)
   Wen YK, 2001, J STRUCT ENG-ASCE, V127, P338, DOI 10.1061/(ASCE)0733-9445(2001)127:3(338)
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Yeo G. L., 2005, 200513 PEER U CAL
NR 35
TC 13
Z9 15
U1 3
U2 45
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0887-3828
EI 1943-5509
J9 J PERFORM CONSTR FAC
JI J. Perform. Constr. Facil.
PD DEC
PY 2017
VL 31
IS 6
AR 04017099
DI 10.1061/(ASCE)CF.1943-5509.0001088
PG 10
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA FM8SG
UT WOS:000415359200009
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Lam, RYH
   Delina, LL
AF Lam, Rainbow Yi Hung
   Delina, Laurence L.
TI Financing structural and non-structural extreme heat adaptation measures
   in Southeast Asian cities: statuses and prospects
SO ENVIRONMENTAL RESEARCH COMMUNICATIONS
LA English
DT Article
DE extreme heat; Southeast Asia; adaptation; adaptation finance; cities
ID URBAN GREEN SPACES; THERMAL PERFORMANCE; SPATIAL-PATTERN; ISLAND;
   TEMPERATURE; SINGAPORE; CITY; EVAPOTRANSPIRATION; VENTILATION;
   STRATEGIES
AB Extreme heat, often called a 'silent killer,' poses significant threats, particularly in Southeast Asia, where rapid urbanisation and increasing population density exacerbate vulnerability. Populations in this region face heightened risks of heat-related mortality and illness and diminished efficiency of the energy systems essential for cooling. Additionally, limited financial resources impede cities' adaptation efforts, establishing finance as a critical factor influencing vulnerability to extreme heat. Despite growing recognition of the necessity for climate adaptation and mitigation financing, as highlighted by the Sendai Framework for Disaster Risk Reduction and the outcomes of the Conferences of the Parties to the United Nations Framework Convention on Climate Change, the adaptation finance gap continues to widen. This review article examines the literature on potential structural and non-structural adaptation strategies for extreme heat and identifies financing opportunities in Southeast Asia, thereby contributing to the Priority 3 agenda of the Sendai Framework. The review concludes with three recommendations: promoting assessment tools to increase adaptation finance and facilitate adoption, addressing issues of maladaptation related to adaptation finance, and aligning adaptation finance with long-term investment benefits.
C1 [Lam, Rainbow Yi Hung; Delina, Laurence L.] Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Kowloon, Clear Water Bay, Hong Kong, Peoples R China.
RP Delina, LL (corresponding author), Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Kowloon, Clear Water Bay, Hong Kong, Peoples R China.
EM lld@ust.hk
CR Abu Bakar A, 2015, ENERGY AND SUSTAINABILITY V: SPECIAL CONTRIBUTIONS, P23, DOI 10.2495/ESS140031
   ADB, 2023, About us
   Adulkongkaew T, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04485
   Aflaki A, 2017, CITIES, V62, P131, DOI 10.1016/j.cities.2016.09.003
   Altaf M., 2020, Int. Conf. and Utility Exhibition on Energy, Environment and Climate Change (ICUE), V1, P1, DOI [10.1109/icue49301.2020.9307135, DOI 10.1109/ICUE49301.2020.9307135]
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2024, The Straits Times28 Feb
   [Anonymous], Sendai Framework Terminology on Disaster Risk Reduction
   Arifwidodo S, 2015, ENRGY PROCED, V79, P189, DOI 10.1016/j.egypro.2015.11.461
   Benrazavi RS, 2016, SUSTAIN CITIES SOC, V22, P94, DOI 10.1016/j.scs.2016.01.011
   Botzen WJW, 2009, ENVIRON HAZARDS-UK, V8, P209, DOI 10.3763/ehaz.2009.0023
   Buchner B., 2023, About us
   Bui VP, 2017, ENERG BUILDINGS, V157, P195, DOI 10.1016/j.enbuild.2017.01.009
   CCFLA, 2024, The State of Cities Climate Finance 2024. Cities Climate Finance Leadership
   Chafer M, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103986
   Chakraborty T, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3b99
   Cheng J, 2020, PLOS NEGLECT TROP D, V14, DOI 10.1371/journal.pntd.0007997
   Phuc CLL, 2022, THEOR APPL CLIMATOL, V149, P817, DOI 10.1007/s00704-022-04085-6
   Chindapol S, 2017, PROCEDIA ENGINEER, V180, P932, DOI 10.1016/j.proeng.2017.04.253
   Climate Policy Initiative (CPI), 2019, About us
   Cortes A, 2022, J URBAN MANAG, V11, P97, DOI 10.1016/j.jum.2022.01.002
   Cruz JA, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103184
   Doan QV, 2016, URBAN CLIM, V17, P20, DOI 10.1016/j.uclim.2016.04.003
   Dodman D., 2022, IPCC 6 ASSESSMENT RE, P907, DOI [10.1017/9781009325844.008, DOI 10.1017/9781009325844.008]
   Phung D, 2016, ENVIRON POLLUT, V208, P33, DOI 10.1016/j.envpol.2015.06.004
   Estoque RC, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15218-8
   Estoque RC, 2017, SCI TOTAL ENVIRON, V577, P349, DOI 10.1016/j.scitotenv.2016.10.195
   Fong CS, 2023, ATMOSPHERE-BASEL, V14, DOI 10.3390/atmos14050852
   Fuhrmann CM, 2016, J COMMUN HEALTH, V41, P146, DOI 10.1007/s10900-015-0080-7
   Gov.ph, Heat Index. Philippine Atmospheric
   Gronlund CJ, 2014, ENVIRON HEALTH PERSP, V122, P1187, DOI 10.1289/ehp.1206132
   Guo AD, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101972
   Hamstead ZA, 2024, URBAN STUD, V61, P531, DOI 10.1177/00420980231184466
   Mohd HH, 2016, MATEC WEB CONF, V47, DOI 10.1051/matecconf/20164704005
   He YY, 2018, URBAN CLIM, V24, P460, DOI 10.1016/j.uclim.2017.03.005
   Henderson SB, 2022, CAN J PUBLIC HEALTH, V113, P698, DOI 10.17269/s41997-022-00672-2
   Hien WN, 2008, LANDSCAPE URBAN PLAN, V84, P166, DOI 10.1016/j.landurbplan.2007.07.005
   Hien WN, 2007, BUILD ENVIRON, V42, P25, DOI 10.1016/j.buildenv.2005.07.030
   Hong TZ, 2021, URBAN CLIM, V38, DOI 10.1016/j.uclim.2021.100871
   Humaida N, 2016, PROCEDIA ENVIRON SCI, V33, P354, DOI 10.1016/j.proenv.2016.03.086
   Hwang YH, 2015, BUILD ENVIRON, V94, P467, DOI 10.1016/j.buildenv.2015.10.003
   Jareemit D, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14084653
   Jaung WG, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126827
   Jumari NASK, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e18424
   Khamchiangta D, 2019, J ENVIRON MANAGE, V248, DOI 10.1016/j.jenvman.2019.109285
   Kim Y, 2023, WEATHER CLIM EXTREME, V42, DOI 10.1016/j.wace.2023.100618
   Kubota T, 2017, SUSTAIN CITIES SOC, V32, P295, DOI 10.1016/j.scs.2017.04.001
   Leng PC, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11205730
   Lenzholzer S, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100705
   Li XX, 2020, SCI TOTAL ENVIRON, V721, DOI 10.1016/j.scitotenv.2020.137664
   Li XX, 2016, URBAN CLIM, V16, P59, DOI 10.1016/j.uclim.2015.12.002
   Lohrey S, 2021, SCI TOTAL ENVIRON, V794, DOI 10.1016/j.scitotenv.2021.148260
   Mahdiyar A, 2020, J CLEAN PROD, V269, DOI 10.1016/j.jclepro.2020.122365
   Martin M, 2019, IOP C SER EARTH ENV, V294, DOI 10.1088/1755-1315/294/1/012020
   Masoudi M, 2019, ECOL INDIC, V98, P200, DOI 10.1016/j.ecolind.2018.09.058
   Masoudi M, 2019, LANDSCAPE URBAN PLAN, V184, P44, DOI 10.1016/j.landurbplan.2018.10.023
   Meerow S, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab502c
   Le MT, 2019, E3S WEB CONF, V97, DOI 10.1051/e3sconf/20199701013
   Morris KI, 2016, COMPUT ENVIRON URBAN, V58, P39, DOI 10.1016/j.compenvurbsys.2016.03.005
   Mughal MO, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100714
   Mughal MO, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100939
   Nazarian N, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002682
   Nazarian N, 2019, ENERG BUILDINGS, V187, P144, DOI 10.1016/j.enbuild.2019.01.022
   Nguyen AT, 2014, ENERG BUILDINGS, V68, P756, DOI 10.1016/j.enbuild.2012.08.050
   Nguyen CT, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103882
   Hoan NT, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10121965
   Opitz-Stapleton Sarah, 2016, Climate Services, V2-3, P41, DOI 10.1016/j.cliser.2016.08.001
   Petkova Elisaveta P, 2014, Curr Epidemiol Rep, V1, P67
   Priyadarsini R, 2008, SOL ENERGY, V82, P727, DOI 10.1016/j.solener.2008.02.008
   Purio MA, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14215573
   Qaid A, 2015, INT J BIOMETEOROL, V59, P657, DOI 10.1007/s00484-014-0878-5
   Qiu GY, 2017, HABITAT INT, V68, P30, DOI 10.1016/j.habitatint.2017.07.009
   Rahaman ZA, 2022, BUILD ENVIRON, V222, DOI 10.1016/j.buildenv.2022.109335
   Rajagopalan P, 2014, SOL ENERGY, V107, P159, DOI 10.1016/j.solener.2014.05.042
   Ramsay EE, 2023, ENVIRON POLLUT, V316, DOI 10.1016/j.envpol.2022.120443
   Ramsay EE, 2021, ISCIENCE, V24, DOI 10.1016/j.isci.2021.103248
   Richards DR, 2017, ECOL INDIC, V77, P31, DOI 10.1016/j.ecolind.2017.01.028
   Richmond M., 2021, content/uploads/2021/02/An-Analysis-of-Urban-Climate-Adaptation-Finance.pdf
   Sangkakool T, 2018, J CLEAN PROD, V196, P400, DOI 10.1016/j.jclepro.2018.06.060
   Sanmargaraja S, 2019, AIP CONF PROC, V2157, DOI 10.1063/1.5126572
   Santamouris M, 2020, ENERG BUILDINGS, V207, DOI 10.1016/j.enbuild.2019.109482
   Santos LGR, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100776
   Shaw R., 2022, CONTRIBUTION WORKING, P1457, DOI [10.1017/9781009325844.012, DOI 10.1017/9781009325844.012]
   Sherman P, 2022, ENERG BUILDINGS, V268, DOI 10.1016/j.enbuild.2022.112198
   Son S, 2020, ACS APPL MATER INTER, V12, P57832, DOI 10.1021/acsami.0c14792
   Srivanit M, 2020, J BUILD ENG, V30, DOI 10.1016/j.jobe.2020.101262
   Srivanit M, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7749-9
   Tabatabaee S, 2019, J CLEAN PROD, V238, DOI 10.1016/j.jclepro.2019.117956
   Tan CL, 2015, BUILD ENVIRON, V94, P206, DOI 10.1016/j.buildenv.2015.08.001
   Tan JKN, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127128
   Teo YH, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191911917
   Thanvisitthpon N, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101484
   Thanvisitthpon N, 2023, INT J ENV RES PUB HE, V20, DOI 10.3390/ijerph20021172
   Dang TN, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16030432
   Dang TN, 2018, AM J PUBLIC HEALTH, V108, pS137, DOI 10.2105/AJPH.2017.304123
   Trias APL, 2023, DISASTERS, V47, P205, DOI 10.1111/disa.12542
   Vergara DCDM, 2023, INT ARCH PHOTOGRAMM, P451, DOI 10.5194/isprs-archives-XLVIII-4-W6-2022-451-2023
   Nguyen VT, 2022, ENVIRON SCI POLLUT R, V29, P74197, DOI 10.1007/s11356-022-21064-6
   Wilkinson SJ, 2024, J ENVIRON PLANN MAN, V67, P334, DOI 10.1080/09640568.2022.2113768
   Yang JJ, 2018, SOL ENERGY, V173, P597, DOI 10.1016/j.solener.2018.08.006
   Yusoff WFM, 2022, LECT NOTES CIVIL ENG, V201, P375, DOI 10.1007/978-981-16-6932-3_33
   Zaid S, 2022, ENVIRON DEV SUSTAIN, V24, P2471, DOI 10.1007/s10668-021-01542-6
   Zander KK, 2019, GLOBAL ENVIRON CHANG, V56, P18, DOI 10.1016/j.gloenvcha.2019.03.004
   Zhang LQ, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101451
   Zhang QN, 2018, PROCEEDINGS OF 2018 2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND APPLICATIONS (ICGEA), P161, DOI 10.1109/ICGEA.2018.8356308
   Zheng K, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101727
   Zhou MD, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2019JD031191
   Zhu D, 2016, PROCEDIA ENGINEER, V169, P133, DOI 10.1016/j.proeng.2016.10.016
   Zhu W, 2023, CITIES, V132, DOI 10.1016/j.cities.2022.104103
   Zune M, 2020, ENERG BUILDINGS, V223, DOI 10.1016/j.enbuild.2020.110201
   Zune M, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102240
NR 111
TC 0
Z9 0
U1 0
U2 0
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 2515-7620
J9 ENVIRON RES COMMUN
JI Environ. Res. Commun.
PD DEC 1
PY 2024
VL 6
IS 12
AR 125029
DI 10.1088/2515-7620/ad9f10
PG 25
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA R0O7U
UT WOS:001388562000001
OA gold
DA 2025-01-10
ER

PT J
AU Chang, MY
   Zuo, ZY
   Qiao, L
   Zhang, KW
   Liu, B
AF Chang, Mei-Yu
   Zuo, Zhi-Yan
   Qiao, Liang
   Zhang, Kai-Wen
   Liu, Bo
TI Land-atmosphere feedbacks weaken the risks of precipitation extremes
   over Australia in a warming climate
SO ADVANCES IN CLIMATE CHANGE RESEARCH
LA English
DT Article
DE Land- atmosphere feedbacks; Extreme precipitation; Australia;
   Precipitation distribution
ID MODEL INTERCOMPARISON PROJECT; SOIL-MOISTURE; INCREASES; CMIP6
AB The importance of land- atmosphere feedbacks on regional precipitation changes has been recently noted. However, how land- atmosphere feedbacks shape daily precipitation distributions, particularly the tails of precipitation distributions associated with extreme events, remains unclear on a regional scale. Herein, using the latest land- atmosphere coupling experiments, this study reveals a consistent weakening effect of land- atmosphere feedbacks on the future increase in precipitation extremes over Australia, revealing the most pronounced reduction (56.8%) for the long-term (2080-2099) projection under the low emission (SSP1-2.6) scenario. This weakening effect holds true for shifts in the extreme tail of precipitation distribution, resulting in a reduced risk of precipitation extremes in a warming climate. Land-atmosphere feedbacks offset 28%-60% of the occurrence risk for the 99th percentile of daily precipitation, with the largest reduction of 172% when precipitation exceeds the 99.7th percentile in the long-term projection under the high emission (SSP5-8.5) scenario. Considering less water replenishment, these feedbacks may reduce the risk of flooding but potentially expedite droughts, highlighting the role of land- atmosphere feedbacks in extreme event projection and regional climate adaptation.
C1 [Chang, Mei-Yu; Zuo, Zhi-Yan; Qiao, Liang; Zhang, Kai-Wen] Fudan Univ, Dept Atmospher & Ocean Sci, Key Lab Polar Atmosphere Ocean Ice Syst Weather &, Minist Educ,Shanghai Key Lab Ocean Land Atmosphere, Shanghai 200438, Peoples R China.
   [Zuo, Zhi-Yan] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing 210044, Peoples R China.
   [Liu, Bo] China Univ Geosci, Sch Environm Studies, Dept Atmospher Sci, Wuhan 430074, Peoples R China.
C3 Fudan University; Nanjing University of Information Science &
   Technology; China University of Geosciences
RP Zuo, ZY (corresponding author), Fudan Univ, Dept Atmospher & Ocean Sci, Key Lab Polar Atmosphere Ocean Ice Syst Weather &, Minist Educ,Shanghai Key Lab Ocean Land Atmosphere, Shanghai 200438, Peoples R China.
EM zuozhy@fudan.edu.cn
FU National Natural Science Foundation of China [42288101]; National Key
   Research and Development Program [2022YFF0801703]
FX The study is jointly supported by the National Natural Science
   Foundation of China (42288101) and the National Key Research and
   Development Program (2022YFF0801703) .
CR Alexander LV, 2009, INT J CLIMATOL, V29, P417, DOI 10.1002/joc.1730
   Ali H, 2018, GEOPHYS RES LETT, V45, P2352, DOI [10.1002/2018gl077065, 10.1002/2018GL077065]
   Bador M, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2019JD032184
   Balsamo G, 2009, J HYDROMETEOROL, V10, P623, DOI 10.1175/2008JHM1068.1
   Bao JW, 2017, NAT CLIM CHANGE, V7, P128, DOI [10.1038/nclimate3201, 10.1038/NCLIMATE3201]
   Chang MY, 2022, J CLIMATE, V35, P1839, DOI 10.1175/JCLI-D-21-0409.1
   Chang MY, 2020, J CLIMATE, V33, P10799, DOI 10.1175/JCLI-D-20-0616.1
   Cheruy F, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS002005
   Contractor S, 2020, HYDROL EARTH SYST SC, V24, P919, DOI 10.5194/hess-24-919-2020
   Donat MG, 2016, NAT CLIM CHANGE, V6, P508, DOI [10.1038/nclimate2941, 10.1038/NCLIMATE2941]
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   García-Garcia A, 2019, J GEOPHYS RES-ATMOS, V124, P3903, DOI 10.1029/2018JD030117
   Grose MR, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001469
   Guillod BP, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7443
   Head L, 2014, WIRES CLIM CHANGE, V5, P175, DOI 10.1002/wcc.255
   Hirsch AL, 2019, J GEOPHYS RES-ATMOS, V124, P13625, DOI 10.1029/2019JD030665
   Holgate CM, 2019, J GEOPHYS RES-ATMOS, V124, P2964, DOI 10.1029/2018JD029762
   Hsu H, 2017, J GEOPHYS RES-ATMOS, V122, P6319, DOI 10.1002/2016JD026042
   Kirsch Thomas D, 2012, PLoS Curr, V4, pe4fdfb212d2432, DOI 10.1371/4fdfb212d2432
   Knutti R, 2013, GEOPHYS RES LETT, V40, P1194, DOI 10.1002/grl.50256
   Liu WC, 2022, THEOR APPL CLIMATOL, V149, P221, DOI 10.1007/s00704-022-04046-z
   Lorenz R, 2016, J GEOPHYS RES-ATMOS, V121, P607, DOI 10.1002/2015JD024053
   Martinez-Villalobos C, 2022, J CLIMATE, V35, P5719, DOI 10.1175/JCLI-D-21-0617.1
   Martinez-Villalobos C, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd351
   Martinez-Villalobos C, 2019, J ATMOS SCI, V76, P3611, DOI 10.1175/JAS-D-18-0343.1
   Martinez-Villalobos C, 2018, GEOPHYS RES LETT, V45, P8586, DOI 10.1029/2018GL078465
   Martius O, 2021, J CLIMATE, V34, P9115, DOI 10.1175/JCLI-D-21-0130.1
   Mauritsen T, 2019, J ADV MODEL EARTH SY, V11, P998, DOI 10.1029/2018MS001400
   Moon H, 2019, GEOPHYS RES LETT, V46, P1861, DOI 10.1029/2018GL080879
   Neelin JD, 2017, P NATL ACAD SCI USA, V114, P1258, DOI 10.1073/pnas.1615333114
   Norris J, 2019, J CLIMATE, V32, P5397, DOI 10.1175/JCLI-D-18-0600.1
   Notaro M, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009199
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Oleson K.W., 2013, NCAR technical note No. NCAR/TN-503p STR
   Pfahl S, 2017, NAT CLIM CHANGE, V7, P423, DOI [10.1038/NCLIMATE3287, 10.1038/nclimate3287]
   Qin XL, 2023, ADV CLIM CHANG RES, V14, P458, DOI 10.1016/j.accre.2023.05.005
   Schamm K, 2014, EARTH SYST SCI DATA, V6, P49, DOI 10.5194/essd-6-49-2014
   Seneviratne SI, 2010, EARTH-SCI REV, V99, P125, DOI 10.1016/j.earscirev.2010.02.004
   Sharmila S, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61482-5
   Stechmann SN, 2014, J ATMOS SCI, V71, P3269, DOI 10.1175/JAS-D-13-0268.1
   Tatebe H, 2019, GEOSCI MODEL DEV, V12, P2727, DOI 10.5194/gmd-12-2727-2019
   Taylor CM, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL030572
   Taylor CM, 2012, NATURE, V489, P423, DOI 10.1038/nature11377
   van den Hurk B, 2016, GEOSCI MODEL DEV, V9, P2809, DOI 10.5194/gmd-9-2809-2016
   Xie P., 2010, PREPRINTS 24 C HYDRO, V2
   Xie ZY, 2016, REMOTE SENS ENVIRON, V183, P43, DOI 10.1016/j.rse.2016.05.017
NR 46
TC 0
Z9 0
U1 1
U2 1
PU KEAI PUBLISHING LTD
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, Building 5, Room 411, BEIJING, DONGCHENG
   DISTRICT 100009, PEOPLES R CHINA
SN 1674-9278
J9 ADV CLIM CHANG RES
JI Adv. Clim. Chang. Res.
PD OCT
PY 2024
VL 15
IS 4
BP 859
EP 868
DI 10.1016/j.accre.2024.08.005
PG 10
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA Q0A4O
UT WOS:001381421300001
OA gold
DA 2025-01-10
ER

PT J
AU Yang, XP
   Li, D
   Yang, RT
   Ma, YX
   Duan, YJ
   Zhang, CJ
   Hu, WY
   Arici, M
AF Yang, Xinpeng
   Li, Dong
   Yang, Ruitong
   Ma, Yuxin
   Duan, Yanjiao
   Zhang, Chengjun
   Hu, Wanyu
   Arici, Muslum
TI Parameter global optimization and climatic adaptability analysis of PCM
   glazed system for long-term application
SO RENEWABLE ENERGY
LA English
DT Article
DE PCM; Glazed system; Adaptability analysis; Optimization
ID DIFFERENTIAL EVOLUTION; THERMAL PERFORMANCE; OPTICAL-PERFORMANCE; MODEL;
   TRANSPARENT; UNITS
AB Filling phase change material (PCM) in the glazed system is crucial to achieving thermal inertia enhancement and solar radiation regulation. However, most previous investigations focused on the energy performance of the PCM glazed system (PCMGS) in typical periods, and the optimization of PCMGS was mainly conducted by control variables to obtain the optimal value of a single parameter, which cannot accurately guide for the long-term application of PCMGS. In this paper, a global optimization program coupled with a numerical model of PCMGS and differential evolution algorithm (DEA) was developed. The annual energy performance of PCMGS was simulated as the objective function to obtain the optimal values of 11 parameters. Subsequently, the climatic applicability of PCMGS was demonstrated by comparing the annual energy performance with that of the traditional double-glazed system (TDGS). The results indicate that the objective function value converges to optimal after 2000 iterations. PCMGS performs preeminent adaptability in hot regions, followed by intermediate regions. The energy consumption of the building when PCMGS is used is reduced by 13.80% and 1.58% respectively compared to the TDGS. However, in cold regions, PCMGS reveals deplorable adaptability, as the energy consumption increased by 36.58% compared to the TDGS.
C1 [Yang, Xinpeng; Li, Dong; Yang, Ruitong; Ma, Yuxin; Duan, Yanjiao; Zhang, Chengjun; Hu, Wanyu; Arici, Muslum] Northeast Petr Univ, Sch Architecture & Civil Engn, Fazhan Lu St, Daqing 163318, Peoples R China.
   [Li, Dong; Zhang, Chengjun; Hu, Wanyu; Arici, Muslum] Northeast Petr Univ, Int Joint Lab Low Carbon & New Energy Nexus, Daqing 163318, Peoples R China.
   [Arici, Muslum] Kocaeli Univ, Dept Mech Engn, Umuttepe Campus, TR-41001 Kocaeli, Turkiye.
C3 Northeast Petroleum University; Northeast Petroleum University; Kocaeli
   University
RP Yang, RT (corresponding author), Northeast Petr Univ, Sch Architecture & Civil Engn, Fazhan Lu St, Daqing 163318, Peoples R China.; Li, D (corresponding author), Northeast Petr Univ, Sch Architecture & Civil Engn, 192 Fazhan Lu St, Daqing 163318, Peoples R China.
EM lidonglvyan@126.com; yangruitong17@163.com
RI Yang, Xinpeng/KIJ-6162-2024; Yang, Ruitong/KEI-2178-2024; Ma,
   Yuxin/JWQ-0624-2024; zhang, chengjun/HHC-4054-2022; Arici,
   Muslum/F-5172-2018
OI Li, Dong/0000-0002-2692-9091; Yang, Ruitong/0000-0002-8442-0445; Yang,
   Xinpeng/0000-0001-8048-6546; Arici, Muslum/0000-0002-3397-2215
FU National Science Foundation of China (NSFC) [52078110]; Guiding Fund of
   Northeast Petroleum University, China [15071202201]
FX The financial supports are provided by the National Science Foundation
   of China (NSFC) through Grant No. 52078110, the Guiding Fund of
   Northeast Petroleum University, China (15071202201).
CR [Anonymous], 2012, CB50736
   Biswas PP, 2019, RENEW ENERG, V132, P425, DOI 10.1016/j.renene.2018.07.152
   Bolteya AM, 2021, AIN SHAMS ENG J, V12, P1523, DOI 10.1016/j.asej.2020.12.004
   Chun SY, 2021, NANO ENERGY, V82, DOI 10.1016/j.nanoen.2020.105721
   Fang YP, 2020, RENEW ENERG, V150, P167, DOI 10.1016/j.renene.2019.12.115
   Gao Y, 2021, APPL ENERG, V301, DOI 10.1016/j.apenergy.2021.117467
   Goia F, 2014, SOL ENERGY, V100, P217, DOI 10.1016/j.solener.2013.12.002
   Goia F, 2013, ENERG BUILDINGS, V60, P442, DOI 10.1016/j.enbuild.2013.01.029
   Goia F, 2012, ENERG BUILDINGS, V54, P141, DOI 10.1016/j.enbuild.2012.07.036
   Huang YJ, 2021, ENERG BUILDINGS, V253, DOI 10.1016/j.enbuild.2021.111458
   I. E. A. (IEA), 2021, Buildings-A Source of Enormous Untapped Efficiency Potential
   Ismail KAR, 2008, ENERG BUILDINGS, V40, P710, DOI 10.1016/j.enbuild.2007.05.005
   Ismail KAR, 2002, ENERG CONVERS MANAGE, V43, P973, DOI 10.1016/S0196-8904(01)00083-8
   Jalil JM, 2021, J ENERGY STORAGE, V35, DOI 10.1016/j.est.2020.102173
   Ke YJ, 2022, APPL ENERG, V315, DOI 10.1016/j.apenergy.2022.119053
   King MFL, 2022, MATER TODAY-PROC, V50, P1516, DOI 10.1016/j.matpr.2021.09.099
   Li D, 2022, ENERG CONVERS MANAGE, V262, DOI 10.1016/j.enconman.2022.115567
   Li D, 2018, INT J HEAT MASS TRAN, V125, P1321, DOI 10.1016/j.ijheatmasstransfer.2018.04.152
   Li D, 2016, SOL ENERGY, V133, P207, DOI 10.1016/j.solener.2016.03.039
   Li SH, 2018, SUSTAIN CITIES SOC, V40, P266, DOI 10.1016/j.scs.2018.01.020
   Liu CY, 2018, APPL THERM ENG, V134, P615, DOI 10.1016/j.applthermaleng.2018.01.117
   Liu Y, 2019, ENERG BUILDINGS, V190, P144, DOI 10.1016/j.enbuild.2019.02.032
   Long LS, 2014, APPL ENERG, V136, P89, DOI 10.1016/j.apenergy.2014.09.007
   Lyu Y, 2022, SOL ENERGY, V233, P259, DOI 10.1016/j.solener.2022.01.034
   Ma MY, 2022, INT J HEAT MASS TRAN, V183, DOI 10.1016/j.ijheatmasstransfer.2021.122173
   Ma MY, 2021, SUSTAIN ENERGY TECHN, V48, DOI 10.1016/j.seta.2021.101676
   Ma YX, 2022, ENERG CONVERS MANAGE, V271, DOI 10.1016/j.enconman.2022.116341
   Mehdizadeh P, 2023, ARAB J CHEM, V16, DOI 10.1016/j.arabjc.2023.104579
   Meng Y, 2022, APPL ENERG, V324, DOI 10.1016/j.apenergy.2022.119676
   Ong KS, 2003, RENEW ENERG, V28, P1047, DOI 10.1016/S0960-1481(02)00057-5
   Özyön S, 2020, ENERGY, V194, DOI 10.1016/j.energy.2019.116866
   Pielichowska K, 2014, PROG MATER SCI, V65, P67, DOI 10.1016/j.pmatsci.2014.03.005
   Pu JH, 2023, NANO ENERGY, V110, DOI 10.1016/j.nanoen.2023.108334
   Quesada G, 2012, RENEW SUST ENERG REV, V16, P2643, DOI 10.1016/j.rser.2012.02.059
   Saurbayeva A., 2023, J. Build. Eng, V64
   Storn R, 1997, J GLOBAL OPTIM, V11, P341, DOI 10.1023/A:1008202821328
   Sun YY, 2018, APPL ENERG, V226, P713, DOI 10.1016/j.apenergy.2018.05.094
   Vigna I, 2018, ENERGIES, V11, DOI 10.3390/en11010111
   Wang CY, 2021, ENERG BUILDINGS, V241, DOI 10.1016/j.enbuild.2021.110922
   Wang PC, 2022, ENERG BUILDINGS, V263, DOI 10.1016/j.enbuild.2022.112030
   Wei LY, 2022, J ENERGY STORAGE, V49, DOI 10.1016/j.est.2022.104183
   Wieprzkowicz Anna, 2020, Renewable Energy, V160, P653, DOI 10.1016/j.renene.2020.06.146
   Xie N, 2019, SOL ENERG MAT SOL C, V200, DOI 10.1016/j.solmat.2019.110034
   Xu B, 2022, APPL THERM ENG, V206, DOI 10.1016/j.applthermaleng.2022.118062
   Ye H, 2012, ENERG BUILDINGS, V49, P164, DOI 10.1016/j.enbuild.2012.02.011
   Zhang S, 2021, ENERGY, V222, DOI 10.1016/j.energy.2021.119916
   Zhang XY, 2022, ENERG CONVERS MANAGE, V272, DOI 10.1016/j.enconman.2022.116333
   Zheng DM, 2021, J BUILD ENG, V42, DOI 10.1016/j.jobe.2021.103058
   Zhong KC, 2015, ENERG BUILDINGS, V106, P87, DOI 10.1016/j.enbuild.2015.05.014
   US
NR 50
TC 4
Z9 4
U1 3
U2 6
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0960-1481
EI 1879-0682
J9 RENEW ENERG
JI Renew. Energy
PD NOV
PY 2023
VL 217
AR 119161
DI 10.1016/j.renene.2023.119161
EA AUG 2023
PG 17
WC Green & Sustainable Science & Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Energy & Fuels
GA W4XK6
UT WOS:001091669900001
DA 2025-01-10
ER

PT J
AU Ombadi, M
   Risser, MD
   Rhoades, AM
   Varadharajan, C
AF Ombadi, Mohammed
   Risser, Mark D.
   Rhoades, Alan M.
   Varadharajan, Charuleka
TI A warming-induced reduction in snow fraction amplifies rainfall extremes
SO NATURE
LA English
DT Article
ID FUTURE CHANGES; PRECIPITATION EXTREMES; CLIMATE-CHANGE; ENSEMBLE
AB The intensity of extreme precipitation events is projected to increase in a warmer climate1-5, posing a great challenge to water sustainability in natural and built environments. Of particular importance are rainfall (liquid precipitation) extremes owing to their instantaneous triggering of runoff and association with floods6, landslides7-9 and soil erosion10,11. However, so far, the body of literature on intensification of precipitation extremes has not examined the extremes of precipitation phase separately, namely liquid versus solid precipitation. Here we show that the increase in rainfall extremes in high-elevation regions of the Northern Hemisphere is amplified, averaging 15 per cent per degree Celsius of warming-double the rate expected from increases in atmospheric water vapour. We utilize both a climate reanalysis dataset and future model projections to show that the amplified increase is due to a warming-induced shift from snow to rain. Furthermore, we demonstrate that intermodel uncertainty in projections of rainfall extremes can be appreciably explained by changes in snow-rain partitioning (coefficient of determination 0.47). Our findings pinpoint high-altitude regions as 'hotspots' that are vulnerable to future risk of extreme-rainfall-related hazards, thereby requiring robust climate adaptation plans to alleviate potential risk. Moreover, our results offer a pathway towards reducing model uncertainty in projections of rainfall extremes.
C1 [Ombadi, Mohammed; Risser, Mark D.; Rhoades, Alan M.; Varadharajan, Charuleka] Lawrence Berkeley Natl Lab, Earth & Environm Sci Area, Berkeley, CA 94720 USA.
   [Ombadi, Mohammed] Univ Michigan, Dept Climate & Space Sci & Engn, Ann Arbor, MI 48109 USA.
C3 United States Department of Energy (DOE); Lawrence Berkeley National
   Laboratory; University of Michigan System; University of Michigan
RP Ombadi, M (corresponding author), Lawrence Berkeley Natl Lab, Earth & Environm Sci Area, Berkeley, CA 94720 USA.; Ombadi, M (corresponding author), Univ Michigan, Dept Climate & Space Sci & Engn, Ann Arbor, MI 48109 USA.
EM ombadi@lbl.gov
RI Ombadi, Mohammed/AAC-6257-2019; Varadharajan, Charuleka/S-4238-2019;
   Risser, Mark/J-5801-2015; Varadharajan, Charuleka/G-3741-2015; Rhoades,
   Alan/H-9084-2017
OI Risser, Mark/0000-0003-1956-1783; Varadharajan,
   Charuleka/0000-0002-4142-3224; Rhoades, Alan/0000-0003-3723-2422;
   Ombadi, Mohammed/0000-0001-7793-9137
CR Allen MR, 2002, NATURE, V419, P224, DOI 10.1038/nature01092
   [Anonymous], 2010, CARTOPY CARTOGRAPHIC
   Barbero R, 2019, WEATHER CLIM EXTREME, V26, DOI 10.1016/j.wace.2019.100219
   Bonnin G. M., 2004, NOAA Atlas, V14
   Cheng LY, 2014, SCI REP-UK, V4, DOI 10.1038/srep07093
   Coles S., 2001, INTRO STAT MODELING, DOI [DOI 10.1007/978-1-4471-3675-0, 10.1007/978-1-4471-3675-0]
   Condom T, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00092
   Davenport FV, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR025571
   Delaney CJ, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026604
   Diffenbaugh NS, 2005, P NATL ACAD SCI USA, V102, P15774, DOI 10.1073/pnas.0506042102
   Donat MG, 2017, NAT CLIM CHANGE, V7, P154, DOI 10.1038/NCLIMATE3160
   Donat MG, 2016, NAT CLIM CHANGE, V6, P508, DOI [10.1038/nclimate2941, 10.1038/NCLIMATE2941]
   Feiccabrino J, 2013, HYDROL RES, V44, P44, DOI 10.2166/nh.2012.158
   Fowler HJ, 2021, NAT REV EARTH ENV, V2, P107, DOI 10.1038/s43017-020-00128-6
   Fowler HJ, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017327
   Haarsma RJ, 2016, GEOSCI MODEL DEV, V9, P4185, DOI 10.5194/gmd-9-4185-2016
   Handwerger AL, 2019, J GEOPHYS RES-EARTH, V124, P1782, DOI 10.1029/2019JF005035
   Haque U, 2019, SCI TOTAL ENVIRON, V682, P673, DOI 10.1016/j.scitotenv.2019.03.415
   Hausfather Z, 2022, NATURE, V605, P26, DOI 10.1038/d41586-022-01192-2
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Immerzeel WW, 2020, NATURE, V577, P364, DOI 10.1038/s41586-019-1822-y
   Jennings KS, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03629-7
   Kelso N. V., 2012, WORLD LAND BASED POL
   Kharin VV, 2007, J CLIMATE, V20, P1419, DOI 10.1175/JCLI4066.1
   Kirschbaum DB, 2015, NAT HAZARD EARTH SYS, V15, P2257, DOI 10.5194/nhess-15-2257-2015
   Kochendorfer J, 2020, J HYDROMETEOROL, V21, P1193, DOI 10.1175/JHM-D-19-0256.1
   Krasting JP, 2013, J CLIMATE, V26, P7813, DOI 10.1175/JCLI-D-12-00832.1
   Krogli IK, 2018, NAT HAZARD EARTH SYS, V18, P1427, DOI 10.5194/nhess-18-1427-2018
   Mahto SS, 2019, J GEOPHYS RES-ATMOS, V124, P9423, DOI 10.1029/2019JD031155
   Marelle L, 2018, GEOPHYS RES LETT, V45, P11352, DOI 10.1029/2018GL079567
   Martha TR, 2015, LANDSLIDES, V12, P135, DOI 10.1007/s10346-014-0540-7
   Menne MJ, 2012, J ATMOS OCEAN TECH, V29, P897, DOI 10.1175/JTECH-D-11-00103.1
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Morán-Ordóñez A, 2020, LAND DEGRAD DEV, V31, P3040, DOI 10.1002/ldr.3694
   Nearing MA, 2004, J SOIL WATER CONSERV, V59, P43
   O'Gorman PA, 2009, P NATL ACAD SCI USA, V106, P14773, DOI 10.1073/pnas.0907610106
   O'Gorman PA, 2015, CURR CLIM CHANGE REP, V1, P49, DOI 10.1007/s40641-015-0009-3
   O'Gorman PA, 2014, NATURE, V512, P416, DOI 10.1038/nature13625
   Oakley NS, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002149
   Ombadi M, 2018, WATER RESOUR RES, V54, P7752, DOI 10.1029/2018WR022929
   Paciorek CJ, 2018, WEATHER CLIM EXTREME, V20, P69, DOI 10.1016/j.wace.2018.01.002
   Pall P, 2007, CLIM DYNAM, V28, P351, DOI [10.1007/s00382-006-0180-2, 10.1007/S00382-006-0180-2]
   Payne AE, 2020, NAT REV EARTH ENV, V1, P143, DOI 10.1038/s43017-020-0030-5
   Pepin NC, 2022, REV GEOPHYS, V60, DOI 10.1029/2020RG000730
   Pfahl S, 2017, NAT CLIM CHANGE, V7, P423, DOI [10.1038/NCLIMATE3287, 10.1038/nclimate3287]
   Ragno E, 2018, WATER RESOUR RES, V54, P1751, DOI 10.1002/2017WR021975
   Räisänen J, 2008, CLIM DYNAM, V30, P307, DOI 10.1007/s00382-007-0289-y
   RAND Corporation, 1980, CISL RDA, DOI 10.5065/HKKR-P122
   Rhoades AM, 2022, NAT CLIM CHANGE, V12, P1151, DOI 10.1038/s41558-022-01518-y
   Risser MD, 2017, GEOPHYS RES LETT, V44, P12457, DOI 10.1002/2017GL075888
   Shi XM, 2015, J CLIMATE, V28, P4246, DOI 10.1175/JCLI-D-14-00750.1
   Siirila-Woodburn ER, 2021, NAT REV EARTH ENV, V2, P800, DOI 10.1038/s43017-021-00219-y
   Sippel S, 2015, GEOPHYS RES LETT, V42, P9990, DOI 10.1002/2015GL066307
   Sun QH, 2021, J CLIMATE, V34, P243, DOI 10.1175/JCLI-D-19-0892.1
   Sun Y, 2007, J CLIMATE, V20, P4801, DOI 10.1175/JCLI4263.1
   Trenberth KE, 1999, CLIMATIC CHANGE, V42, P327, DOI 10.1023/A:1005488920935
   Trenberth KE, 2003, B AM METEOROL SOC, V84, P1205, DOI 10.1175/BAMS-84-9-1205
   WELCH BL, 1947, BIOMETRIKA, V34, P28, DOI 10.1093/biomet/34.1-2.28
   Wolff MA, 2015, HYDROL EARTH SYST SC, V19, P951, DOI 10.5194/hess-19-951-2015
   Xiong WT, 2022, WATER-SUI, V14, DOI 10.3390/w14071122
   Yang DQ, 1999, NORD HYDROL, V30, P57
NR 61
TC 83
Z9 89
U1 100
U2 282
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 0028-0836
EI 1476-4687
J9 NATURE
JI Nature
PD JUL 13
PY 2023
VL 619
IS 7969
BP 305
EP +
DI 10.1038/s41586-023-06092-7
EA JUN 2023
PG 23
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA IV1U9
UT WOS:001023900900001
PM 37380773
HC Y
HP Y
DA 2025-01-10
ER

PT J
AU Shirzaei, M
   Khoshmanesh, M
   Ojha, C
   Werth, S
   Kerner, H
   Carlson, G
   Sherpa, SF
   Zhai, G
   Lee, JC
AF Shirzaei, Manoochehr
   Khoshmanesh, Mostafa
   Ojha, Chandrakanta
   Werth, Susanna
   Kerner, Hannah
   Carlson, Grace
   Sherpa, Sonam Futi
   Zhai, Guang
   Lee, Jui-Chi
TI Persistent impact of spring floods on crop loss in U.S. Midwest
SO WEATHER AND CLIMATE EXTREMES
LA English
DT Article
DE SAR; Flood map; Crop yield; Stream gage; MODIS NDVI
ID PLANTING DATE; CLIMATE TRENDS; DAMAGE; YIELD; RESPONSES; MAIZE; US;
   PRECIPITATION; FREQUENCY; EVENTS
AB Climate extremes threaten global food security, and compound events, such as late spring heavy and warmer rainfall over snow and subsequent flooding, exacerbate this vulnerability. Despite frequent occurrences in recent years, a quantitative understanding of the compound weather events' impacts remains elusive. Here, we use Synthetic Aperture Radar data from Sentinel-1 and normalized difference vegetation index data from MODIS satellites to map the spring 2019 U.S. Midwest flood extent and evaluate its impact on crop loss. We find a statistically significant association between flooded counties and those with plant greenup delay, while the correlation between flood area percent and amount of green-up delay remains weak, albeit reliable. An analysis of the stream gage time series and crop loss records shows that during the past similar to 70 years, similar to 43% of spring large discharges are associated with widespread crop loss. We also find an increase in streams' discharge frequency and magnitude across the Midwest, indicating the possibility of a future increase in crop loss due to spring flooding. This study highlights the importance of Earth-observing satellite data for developing climate adaptation and resilience plans.
C1 [Shirzaei, Manoochehr; Werth, Susanna; Carlson, Grace; Sherpa, Sonam Futi; Zhai, Guang; Lee, Jui-Chi] Virginia Tech, Dept Geosci, Blacksburg, VA 24061 USA.
   [Khoshmanesh, Mostafa] CALTECH, Dept Mech & Civil Engn, Pasadena, CA 91125 USA.
   [Ojha, Chandrakanta] Indian Inst Sci Educ & Res, Dept Earth & Environm Sci, Mohali, India.
   [Kerner, Hannah] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
   [Zhai, Guang] Univ Calif Berkeley, Berkeley Seismol Lab, Berkeley, CA 94720 USA.
   [Zhai, Guang] Univ Calif Berkeley, Dept Earth & Planetary Sci, Berkeley, CA 94720 USA.
C3 Virginia Polytechnic Institute & State University; California Institute
   of Technology; Indian Institute of Science Education & Research (IISER)
   - Mohali; University System of Maryland; University of Maryland College
   Park; University of California System; University of California
   Berkeley; University of California System; University of California
   Berkeley
RP Shirzaei, M (corresponding author), Virginia Tech, Dept Geosci, Blacksburg, VA 24061 USA.
EM shirzaei@vt.edu; chandrakanta.ojha@ga.gov.au; swerth@vt.edu;
   hkerner@umd.edu; gacarls1@asu.edu; sfsherpa@vt.edu; gzhai@vt.edu;
   jclee.vickie@asu.edu
RI Werth, Susanna/LKN-8422-2024; Lee, Jui-Chi/ABG-8244-2021
OI Shirzaei, Manoochehr/0000-0003-0086-3722; Lee,
   Jui-Chi/0000-0001-6686-546X; Khoshmanesh, Mostafa/0000-0001-8724-5737;
   Sherpa, Sonam/0000-0002-3415-576X; Ojha,
   Chandrakanta/0000-0002-5025-4485
FU National Aeronautics and Space Administration (NASA) [80NSSC170567];
   NASA [NNX17AD98G, 80NSSC18M0039]; National Science Foundation
   [EAR-1735630]; Department of Energy [DE-SC0019307]; U.S. Department of
   Energy (DOE) [DE-SC0019307] Funding Source: U.S. Department of Energy
   (DOE); NASA [NNX17AD98G, 1002781] Funding Source: Federal RePORTER
FX M.S. and S.S. are supported by the National Aeronautics and Space
   Administration (NASA) grant 80NSSC170567. C.O., G.C., and S.W. are
   supported by the NASA grant NNX17AD98G. H.K. is supported by NASA grant
   80NSSC18M0039. J.L. is supported by the National Science Foundation
   grant EAR-1735630. G.Z. is supported by the Department of Energy Grant
   DE-SC0019307. We thank two anonymous reviewers for their insightful
   comments and suggestions. SAR datasets are obtained from Alaska
   Satellite Facilities ( www.asf. alaska.edu) . Crop yield and NDVI data
   are obtained from the USDA. Prevent plant acres are obtained from the
   FSA. Discharge data are ob-tained from the USGS. This GEE script is
   publicly available at https://code.earthengine. google.com
   /?scriptPath=users%2Fhkerner_umd%2Fndvi_midwest% 3Amodis_ndvi_export.
   The generated flood maps for each SAR frame are available at
   https://drive.google.com /drive/folders/1UmqkZ_RoP8CM
   CxWXzdIotdjDIxhvcLhq?usp=sharing, which includes two folders called
   'index' and 'figs'. The index folder includes 15 index maps, each
   showing the approximate center location of each flood map using a number
   between 1 and 463 for a period of ~10 days. The figs folder includes the
   flood maps associated with each date and location shown in the index
   maps. The generated NDVI maps are provided at https://drive. google.com
   /drive/folders/1yXeG_RahehjklG-qxrO-nsZZ0mKh6s55?us p=sharing. All
   authors made significant and extensive contributions to the work
   presented in this manuscript. M.S. designed the experiment. M.S., C.O.,
   S.S., and G.Z. processed the SAR dataset and generated the flood maps.
   M.K., S.W., and G.C. analyzed the stream gage data and generated plots.
   M.S. and H.K. analyzed the NDVI and prevent plant data and plotted them.
   J.L. developed codes and plotted the flood maps provided in the online
   repository. S.W. analyzed and plotted precipitation data. M.S. performed
   correlation analyzes and developed the first draft of the manuscript.
   All authors reviewed and edited the manuscript, figures, and supplement.
   The authors declare that they have no competing interests.
CR AghaKouchak A, 2020, ANNU REV EARTH PL SC, V48, P519, DOI 10.1146/annurev-earth-071719-055228
   Anapalli SS, 2005, AGRON J, V97, P58
   [Anonymous], 2019, Farms and Land in Farms 2018 Summary
   [Anonymous], 2000, Extreme Value Distributions: Theory and Applications
   Ashraf M, 1999, PLANT SCI, V144, P35, DOI 10.1016/S0168-9452(99)00055-2
   Battisti DS, 2009, SCIENCE, V323, P240, DOI 10.1126/science.1164363
   Becker-Reshef I, 2019, GLOB FOOD SECUR-AGR, V23, P173, DOI 10.1016/j.gfs.2019.04.010
   Blöschl G, 2017, SCIENCE, V357, P588, DOI 10.1126/science.aan2506
   Bolton DK, 2013, AGR FOREST METEOROL, V173, P74, DOI 10.1016/j.agrformet.2013.01.007
   Boryan C, 2011, GEOCARTO INT, V26, P341, DOI 10.1080/10106049.2011.562309
   Bouwer LM, 2011, B AM METEOROL SOC, V92, P39, DOI 10.1175/2010BAMS3092.1
   Butler EE, 2013, NAT CLIM CHANGE, V3, P68, DOI [10.1038/NCLIMATE1585, 10.1038/nclimate1585]
   Chen HL, 2019, AGR FOREST METEOROL, V269, P180, DOI 10.1016/j.agrformet.2019.02.002
   Ciais P, 2005, NATURE, V437, P529, DOI 10.1038/nature03972
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Crawford RMM, 2003, CAN J BOT, V81, P1224, DOI [10.1139/b03-127, 10.1139/B03-127]
   DiBaldassarre G, 2012, INT HYDROL SER, P1, DOI 10.1017/CBO9781139088411
   Didan K, 2021, NASA EOSDIS LP DAAC, DOI [10.5067/MODIS/MOD13A2, DOI 10.5067/MODIS/MOD13A2]
   Didan K., 2015, Vegetation index and phenology lab
   Donat MG, 2016, NAT CLIM CHANGE, V6, P508, DOI [10.1038/nclimate2941, 10.1038/NCLIMATE2941]
   Dottori F, 2018, NAT CLIM CHANGE, V8, P781, DOI 10.1038/s41558-018-0257-z
   Farm Service Agency, 2020, FSA CROP ACR DAT REP
   Food Nations A.O.o.t.U., 2015, IMP NAT HAZ DIS AGR
   Garner G, 2015, FRESHWATER BIOL, V60, P2461, DOI 10.1111/fwb.12667
   Gilbert R.O., 1987, Statistical methods for environmental pollution monitoring, P217
   Giustarini L, 2016, IEEE T GEOSCI REMOTE, V54, P6958, DOI 10.1109/TGRS.2016.2592951
   Golledge N.R., 2021, CLIMATE CHANGE 2021
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Gourdji S, 2015, AGR FOREST METEOROL, V200, P270, DOI 10.1016/j.agrformet.2014.10.002
   IMHOLTE AA, 1987, AGRON J, V79, P746, DOI 10.2134/agronj1987.00021962007900040032x
   Kerner Hannah, 2020, ACM SIGKDD C KNOWL D
   Kozdrój J, 2000, SOIL BIOL BIOCHEM, V32, P1405, DOI 10.1016/S0038-0717(00)00058-4
   Kunkel KE, 2003, NAT HAZARDS, V29, P291, DOI 10.1023/A:1023694115864
   Kwak Y, 2015, IEEE J-STARS, V8, P3700, DOI 10.1109/JSTARS.2015.2440439
   Lauer JG, 1999, AGRON J, V91, P834, DOI 10.2134/agronj1999.915834x
   Lesk C, 2020, NAT CLIM CHANGE, V10, P819, DOI 10.1038/s41558-020-0830-0
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Li Y, 2019, GLOBAL CHANGE BIOL, V25, P2325, DOI 10.1111/gcb.14628
   Liliane T.N., 2020, FACTORS AFFECTING YI, V9
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Lobell DB, 2003, SCIENCE, V299, P1032, DOI 10.1126/science.1077838
   Mallakpour I, 2015, NAT CLIM CHANGE, V5, P250, DOI [10.1038/nclimate2516, 10.1038/NCLIMATE2516]
   Martinich J, 2019, NAT CLIM CHANGE, V9, P397, DOI 10.1038/s41558-019-0444-6
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P1697, DOI 10.5194/nhess-10-1697-2010
   Miller MM, 2019, REMOTE SENS ENVIRON, V225, P368, DOI 10.1016/j.rse.2019.03.022
   Molinari D, 2019, NAT HAZARD EARTH SYS, V19, P2565, DOI [10.5194/nhess-19-2565-2019,2019, 10.5194/nhess-19-2565-2019]
   MUNKVOLD GP, 1995, PLANT DIS, V79, P95, DOI 10.1094/PD-79-0095
   Neri A, 2019, INT J CLIMATOL, V39, P1796, DOI 10.1002/joc.5915
   Nielsen RL, 2002, AGRON J, V94, P549
   NOAA National Centers for Environmental Information, 2018, BILL DOLL WEATH CLIM
   Oberstadler R, 1997, HYDROL PROCESS, V11, P1415, DOI 10.1002/(SICI)1099-1085(199708)11:10<1415::AID-HYP532>3.0.CO;2-2
   Pettorelli N, 2005, TRENDS ECOL EVOL, V20, P503, DOI 10.1016/j.tree.2005.05.011
   Porter JR, 2005, PHILOS T R SOC B, V360, P2021, DOI 10.1098/rstb.2005.1752
   Portner H.-O., 2019, IPCC, 2019: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate
   Reddy BVS, 2003, FIELD CROP RES, V84, P57, DOI 10.1016/S0378-4290(03)00141-2
   Rötter RP, 2018, FIELD CROP RES, V221, P142, DOI 10.1016/j.fcr.2018.02.023
   Rosenzweig C, 2002, GLOBAL ENVIRON CHANG, V12, P197, DOI 10.1016/S0959-3780(02)00008-0
   Savtchenko A, 2004, ADV SPACE RES, V34, P710, DOI 10.1016/j.asr.2004.03.012
   Seddon AWR, 2016, NATURE, V531, P229, DOI 10.1038/nature16986
   Sherpa SF, 2020, IEEE J-STARS, V13, P896, DOI 10.1109/JSTARS.2020.2970337
   Shrestha R, 2017, J INTEGR AGR, V16, P398, DOI 10.1016/S2095-3119(16)61502-2
   Slater LJ, 2016, GEOPHYS RES LETT, V43, P12428, DOI 10.1002/2016GL071199
   Taylor CM, 2017, NATURE, V544, P475, DOI 10.1038/nature22069
   Trnka M, 2011, GLOBAL CHANGE BIOL, V17, P2298, DOI 10.1111/j.1365-2486.2011.02396.x
   Urban DW, 2015, CLIMATIC CHANGE, V130, P247, DOI 10.1007/s10584-015-1362-x
   USDA NASS, 2019, 2019 CROP PROGR COND
   Chau VN, 2015, NAT HAZARDS, V75, P1747, DOI 10.1007/s11069-014-1395-x
   Wallemacq P., 2018, EC LOSSES POVERTY DI
   Wardlow BD, 2006, PHOTOGRAMM ENG REM S, V72, P1225, DOI 10.14358/PERS.72.11.1225
   Winsemius HC, 2016, NAT CLIM CHANGE, V6, P381, DOI [10.1038/nclimate2893, 10.1038/NCLIMATE2893]
   Wobus C, 2014, J FLOOD RISK MANAG, V7, P217, DOI 10.1111/jfr3.12043
   Wuebbles D. J., 2017, Climate science special report: Fourth national climate assessment, VI
   Zampieri M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa723b
   Zhang Q, 2015, GLOBAL PLANET CHANGE, V131, P63, DOI 10.1016/j.gloplacha.2015.05.007
   Zhang XY, 2017, REMOTE SENS ENVIRON, V190, P318, DOI 10.1016/j.rse.2017.01.001
   Zhang XY, 2016, ISPRS J PHOTOGRAMM, V114, P191, DOI 10.1016/j.isprsjprs.2016.02.010
   Zhang XY, 2004, GLOBAL CHANGE BIOL, V10, P1133, DOI 10.1111/j.1529-8817.2003.00784.x
   Zscheischler J, 2020, NAT REV EARTH ENV, V1, P333, DOI 10.1038/s43017-020-0060-z
NR 78
TC 18
Z9 19
U1 2
U2 34
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0947
J9 WEATHER CLIM EXTREME
JI Weather Clim. Extremes
PD DEC
PY 2021
VL 34
AR 100392
DI 10.1016/j.wace.2021.100392
EA OCT 2021
PG 9
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA WP5TW
UT WOS:000713194800002
OA gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Close, SL
   Montalto, F
   Orton, P
   Antoine, A
   Peters, D
   Jones, H
   Parris, A
   Blumberg, A
AF Close, Sarah L.
   Montalto, Franco
   Orton, Philip
   Antoine, Adrienne
   Peters, Danielle
   Jones, Hunter
   Parris, Adam
   Blumberg, Alan
TI Achieving sustainability goals for urban coasts in the US Northeast:
   research needs and challenges
SO LOCAL ENVIRONMENT
LA English
DT Article
DE Climate vulnerability; natural and nature-based features;
   sustainability; adaptation; urban coasts; ecosystem services
AB In the wake of Hurricane Sandy and other recent extreme events, urban coastal communities in the northeast region of the United States are beginning or stepping up efforts to integrate climate adaptation and resilience into long-term coastal planning. Natural and nature-based shoreline strategies have emerged as essential components of coastal resilience and are frequently cited by practitioners, scientists, and the public for the wide range of ecosystem services they can provide. However, there is limited quantitative information associating particular urban shoreline design strategies with specific levels of ecosystem service provision, and research on this issue is not always aligned with decision context and decision-maker needs. Engagement between the research community, local government officials and sustainability practitioners, and the non-profit and private sectors can help bridge these gaps. A workshop to bring together these groups discussed research gaps and challenges in integrating ecosystem services into urban sustainability planning in the urban northeast corridor. Many themes surfaced repeatedly throughout workshop deliberations, including the challenges associated with ecosystem service valuation, the transferability of research and case studies within and outside the region, and the opportunity for urban coastal areas to be a focal point for education and outreach efforts related to ecosystem services.
C1 [Close, Sarah L.; Jones, Hunter] Univ Corp Atmospher Res, NOAA, Climate Program Off, Silver Spring, MD USA.
   [Montalto, Franco; Orton, Philip; Peters, Danielle] Consortium Climate Risk Urban Northeast, New York, NY USA.
   [Montalto, Franco] New York Urban Field Stn, New York, NY USA.
   [Montalto, Franco] Drexel Univ, Dept Civil Environm & Architectural Engn, Philadelphia, PA USA.
   [Orton, Philip; Blumberg, Alan] Stevens Inst Technol, Davidson Lab Castle Point Hudson, Hoboken, NJ USA.
   [Antoine, Adrienne; Parris, Adam] NOAA, Climate Program Off, Silver Spring, MD USA.
   [Peters, Danielle] Columbia Univ, Ctr Climate Syst Res, New York, NY USA.
C3 National Oceanic Atmospheric Admin (NOAA) - USA; National Center
   Atmospheric Research (NCAR) - USA; Drexel University; Stevens Institute
   of Technology; National Oceanic Atmospheric Admin (NOAA) - USA; Columbia
   University
RP Close, SL (corresponding author), Univ Corp Atmospher Res, NOAA, Climate Program Off, Silver Spring, MD USA.
EM sarah.close@noaa.gov
OI Close, Sarah/0000-0002-6618-0943; Jones, Hunter M./0000-0003-4588-3911
FU National Oceanic and Atmospheric Administration Climate Program Office
   [NA13OAR4310144]
FX This work was supported by the National Oceanic and Atmospheric
   Administration Climate Program Office [NA13OAR4310144].
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Arkema K., 2014, NATURE CLIMATE CHANG, V3, P913
   Barbier EB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058715
   Barbier EB, 2011, ECOL MONOGR, V81, P169, DOI 10.1890/10-1510.1
   Bridges T. S., 2014, USE NATURAL NATURAL
   Carpenter S.R., 2005, Ecosystems and Human Well-Being: Synthesis, P137
   Dews A., 2014, GREENWORKS PHILADELP
   Felson AJ, 2013, BIOSCIENCE, V63, P882, DOI 10.1525/bio.2013.63.11.7
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Hudson River National Estuarine Research Reserve (HR NERR), 2012, HUDS RIV SUST SHOR
   Hurricane Sandy Rebuilding Task Force, 2013, HURR SNAD REB STRAT
   National Fish and Wildlife Foundation, 2014, HURR SAND COAST RES
   National Oceanic and Atmospheric Administration & U. S. Census Bureau, 2013, NAT COAST POP REP PO
   NCDC, 2014, BILL DOLL WEATH CLIM
   Orff K., 2014, LIVING BREAKWATERS
   Parris A, 2014, ISSUES SCI TECHNOL, V30, P83
   Rebuild by Design: Winners and Finalists, 2013, WINN FIN
   Rosenzweig C, 2015, ANN NY ACAD SCI, V1336, P1, DOI 10.1111/nyas.12626
   Sterner T, 2006, ENVIRONMENT, V48, P20, DOI 10.3200/ENVT.48.10.20-27
NR 19
TC 2
Z9 3
U1 1
U2 20
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1354-9839
EI 1469-6711
J9 LOCAL ENVIRON
JI Local Environ.
PY 2017
VL 22
IS 4
BP 508
EP 522
DI 10.1080/13549839.2016.1233526
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 EO3VM
UT WOS:000396622500008
DA 2025-01-10
ER

PT J
AU Maina, J
   Kithiia, J
   Cinner, J
   Neale, E
   Noble, S
   Charles, D
   Watson, JEM
AF Maina, Joseph
   Kithiia, Justus
   Cinner, Josh
   Neale, Ezra
   Noble, Sylvia
   Charles, Daniel
   Watson, James E. M.
TI Integrating social-ecological vulnerability assessments with climate
   forecasts to improve local climate adaptation planning for coral reef
   fisheries in Papua New Guinea
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Adaptation planning; Socioecological vulnerability;
   Coral reef fisheries; Papua New Guinea
ID SOCIOECONOMIC-FACTORS; EXTREMES INDEXES; CHANGE IMPACTS; ENSEMBLE;
   FUTURE; CMIP5; RESILIENCE; FRAMEWORK; RESOURCE; TENURE
AB A major gap exists in integrating climate projections and social-ecological vulnerability analyses at scales that matter, which has affected local-scale adaptation planning and actions to date. We address this gap by providing a novel methodology that integrates information on: (i) the expected future climate, including climate-related extreme events, at the village level; (ii) an ecological assessment of the impacts of these climate forecasts on coral reefs; and (iii) the social adaptive capacity of the artisanal fishers, to create an integrated vulnerability assessment on coastal communities in five villages in Papua New Guinea. We show that, despite relatively proximate geographies, there are substantial differences in both the predicted extreme rainfall and temperature events and the social adaptive capacity among the five fishing-dependent communities, meaning that they have likely different vulnerabilities to future climate change. Our methodology shows that it is possible to capture social information and integrate this with climate and ecological modeling in ways that are best suited to address the impacts of climate-mediated environmental changes currently underway across different scales.
C1 [Maina, Joseph; Watson, James E. M.] Univ Queensland, ARC CEED, St Lucia, Qld 4072, Australia.
   [Watson, James E. M.] Wildlife Conservat Soc, Global Conservat Program, Bronx, NY 10460 USA.
   [Kithiia, Justus] Sch Field Studies, Ctr Rainforest Studies, Yungabbura, Australia.
   [Cinner, Josh] James Cook Univ, Australian Res Council Ctr Excellence Coral Reef, Townsville, Qld 4811, Australia.
   [Neale, Ezra; Noble, Sylvia; Charles, Daniel] Wildlife Conservat Soc, PNG Field Program, Papua, Guinea.
   [Watson, James E. M.] Univ Queensland, Sch Geog Planning & Environm Management, St Lucia, Qld 4072, Australia.
C3 University of Queensland; Wildlife Conservation Society; James Cook
   University; University of Queensland
RP Maina, J (corresponding author), Univ Queensland, ARC CEED, St Lucia, Qld 4072, Australia.
EM j.mbui@uq.edu.au
RI Maina, Joseph/KFR-6167-2024; Cinner, Joshua/E-8966-2011; Watson,
   James/D-8779-2013
OI Watson, James/0000-0003-4942-1984; Cinner, Joshua/0000-0003-2675-9317;
   Maina, Joseph/0000-0003-1268-6137
FU AUSAID; Catherine T. MacArthur and Tiffany Foundation through WCS
FX We thank AUSAID and John D. and Catherine T. MacArthur and Tiffany
   Foundation for supporting this work through WCS. Ross Sinclair, the
   former director of the WCS PNG program, recognized the need for this
   type of science, and we also thank the WCS-PNG field assistant's for
   their help with the social surveys.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Allen KM, 2006, DISASTERS, V30, P81, DOI 10.1111/j.1467-9523.2006.00308.x
   Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   [Anonymous], 2011, Hunter & Central Coasts New South Wales-Vulnerability to climate change impacts
   Bak RP, 2005, CORAL REEFS, V24, P475, DOI 10.1007/s00338-005-0009-1
   Barnett DN, 2006, CLIM DYNAM, V26, P489, DOI 10.1007/s00382-005-0097-1
   Bell JD, 2013, NAT CLIM CHANGE, V3, P591, DOI 10.1038/NCLIMATE1838
   Bodin Ö, 2008, WORLD DEV, V36, P2763, DOI 10.1016/j.worlddev.2007.12.002
   CARRIER JG, 1983, ETHNOLOGY, V22, P133, DOI 10.2307/3773576
   CARRIER JG, 1982, ANTHROPOS, V77, P904
   Church JA, 2006, GLOBAL PLANET CHANGE, V53, P155, DOI 10.1016/j.gloplacha.2006.04.001
   Cinner J, 2005, ECOL SOC, V10
   Cinner JE, 2006, ENVIRON CONSERV, V33, P73, DOI 10.1017/S0376892906002748
   Cinner JE, 2012, GLOBAL ENVIRON CHANG, V22, P12, DOI 10.1016/j.gloenvcha.2011.09.018
   Cinner JE, 2005, CONSERV BIOL, V19, P1469, DOI 10.1111/j.1523-1739.2005.004307.x
   Cinner JE, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074321
   Clark G.E., 1998, Mitigation and Adaptation Strategies for Global Change, V3, P59, DOI DOI 10.1023/A:1009609710795
   Dolan AH, 2006, J COASTAL RES, P1316
   FAO, 2000, FAO AGR SER VERS 32
   Foale S, 2006, IS CORAL REEF CONSER
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Grimm NB, 2013, FRONT ECOL ENVIRON, V11, P456, DOI 10.1890/120310
   Kithiia J, 2010, INT J URBAN SUSTAIN, V1, P17, DOI 10.1080/19463131003607630
   Kithiia J, 2011, CURR OPIN ENV SUST, V3, P176, DOI 10.1016/j.cosust.2010.12.002
   Kliver M, 2008, BBC NEWS MANGROVE LO
   Kronen M, 2010, MAR POLICY, V34, P1135, DOI 10.1016/j.marpol.2010.03.013
   Maina J, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms2986
   Maina J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023064
   Mamauag SS, 2013, FISH RES, V147, P381, DOI 10.1016/j.fishres.2013.07.007
   McClanahan TR, 2008, CONSERV LETT, V1, P53, DOI 10.1111/j.1755-263X.2008.00008_1.x
   McIlgorm A, 2010, MAR POLICY, V34, P170, DOI 10.1016/j.marpol.2009.06.004
   Mora C, 2013, NATURE, V502, P183, DOI 10.1038/nature12540
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Munday PL, 2008, FISH FISH, V9, P261, DOI 10.1111/j.1467-2979.2008.00281.x
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   O'Brien K, 2004, CLIMATIC CHANGE, V64, P193, DOI 10.1023/B:CLIM.0000024668.70143.80
   Rands MRW, 2010, SCIENCE, V329, P1298, DOI 10.1126/science.1189138
   Rauwolf P, 2013, MODELLING NORMATIVE
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P1716, DOI 10.1002/jgrd.50203
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P2473, DOI 10.1002/jgrd.50188
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Stocker, 2014, CLIMATE CHANGE 2013
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Watson JEM, 2013, NAT CLIM CHANGE, V3, P989, DOI [10.1038/NCLIMATE2007, 10.1038/nclimate2007]
   ZADEH LA, 1965, INFORM CONTROL, V8, P338, DOI 10.1016/S0019-9958(65)90241-X
   Zhang XB, 2011, WIRES CLIM CHANGE, V2, P851, DOI 10.1002/wcc.147
NR 48
TC 30
Z9 31
U1 2
U2 71
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 2016
VL 16
IS 3
SI SI
BP 881
EP 891
DI 10.1007/s10113-015-0807-0
PG 11
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DD8LM
UT WOS:000370178000024
DA 2025-01-10
ER

PT J
AU Bouwer, LM
   Papyrakis, E
   Poussin, J
   Pfurtscheller, C
   Thieken, AH
AF Bouwer, Laurens M.
   Papyrakis, Elissaios
   Poussin, Jennifer
   Pfurtscheller, Clemens
   Thieken, Annegret H.
TI The Costing of Measures for Natural Hazard Mitigation in Europe
SO NATURAL HAZARDS REVIEW
LA English
DT Article
DE Natural hazards; Mitigation; Costs; Adaptation; Risk reduction; Floods;
   Droughts; Coastal hazards; Alpine hazards
ID CLIMATE-CHANGE; FLOOD-ALLEVIATION; PROSPECT-THEORY; RISK; ADAPTATION;
   INSURANCE; WILLINGNESS; MANAGEMENT; HOUSEHOLDS; BENEFITS
AB The literature on the costing of mitigation measures for reducing impacts of natural hazards is rather fragmented. This paper provides a concise overview of the current state of knowledge in Europe on the costing of mitigation measures for the reduction of natural hazard risks (droughts, floods, storms and induced coastal hazards as well as alpine hazards) and identifies knowledge gaps and related research recommendations. Furthermore, it provides a taxonomy of related mitigation options, classifying them into nine categories: (1) management plans, land-use planning, and climate adaptation; (2) hazard modification; (3) infrastructure; (4) mitigation measures (stricto sensu); (5) communication in advance of events; (6) monitoring and early warning systems; (7) emergency response and evacuation; (8) financial incentives; and (9) risk transfer (including insurance). It is found that the costing of mitigation measures in European and in other countries has almost exclusively focused on estimating direct costs. A cost assessment framework that addresses a range of costs, possibly informed by multiple stakeholders, would provide more accurate estimates and could provide better guidance to decision makers. (C) 2014 American Society of Civil Engineers.
C1 [Bouwer, Laurens M.] Deltares, NL-2600 MH Delft, Netherlands.
   [Papyrakis, Elissaios] Univ E Anglia, Sch Int Dev, Norwich NR4 7TJ, Norfolk, England.
   [Papyrakis, Elissaios; Poussin, Jennifer] Vrije Univ Amsterdam, Inst Environm Studies, NL-1081 HV Amsterdam, Netherlands.
   [Pfurtscheller, Clemens] Austrian Acad Sci, Inst Interdisciplinary Mt Res IGF, A-6020 Innsbruck, Austria.
   [Thieken, Annegret H.] Univ Potsdam, Inst Earth & Environm Sci, D-14476 Potsdam, Germany.
C3 Deltares; University of East Anglia; Vrije Universiteit Amsterdam;
   Austrian Academy of Sciences; University of Potsdam
RP Papyrakis, E (corresponding author), Univ E Anglia, Sch Int Dev, Norwich NR4 7TJ, Norfolk, England.
EM laurens.bouwer@deltares.nl; e.papyrakis@vu.nl; jennifer.poussin@vu.nl;
   clemens.pfurtscheller@oeaw.ac.at; annegret.thieken@uni-potsdam.de
RI Papyrakis, Elissaios/M-9120-2013; Bouwer, Laurens/AAV-7628-2021;
   Thieken, Annegret/B-1946-2017
OI Bouwer, Laurens/0000-0003-3498-2586; Thieken,
   Annegret/0000-0001-7068-2615
FU European Commission [244159]
FX The review and analysis presented in this paper was part of the Costs of
   Natural Hazards (ConHaz) Coordination Action project (http://conhaz.org)
   funded by the Seventh Framework Programme of the European Commission
   (Grant Agreement 244159). The authors thank two anonymous referees and
   the editor for their very helpful comments on the paper. We also thank
   colleagues in the project for providing information on the mitigation
   costs of natural disasters, further complemented with input from many
   participants in four workshops, held between November 2010 and May 2011.
   Finally, we thank an anonymous reviewer and editor Dr. David Sattler for
   helpful comments and suggestions on the earlier manuscript. All errors
   and opinions expressed in this paper however are ours.
CR Anena, 2013, GER RISQ
   [Anonymous], 2009, Shaping climate-resilient development: a framework for decision-making
   [Anonymous], 2004, EFFICIENT MONOPOLIES
   [Anonymous], 2008, WORK TOG WAT LIV LAN
   [Anonymous], 2013, 32013 EEA
   [Anonymous], ASS POT COMPR COMM S
   [Anonymous], COAST FLOOD RISK TRE
   Association of British Insurers (ABI) and Environment Agency (EA), 2009, FLOOD INF SHEET YOUR
   Bayrak T, 2011, NAT HAZARDS, V58, P1193, DOI 10.1007/s11069-011-9722-y
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Botzen WJW, 2009, ECOL ECON, V68, P2265, DOI 10.1016/j.ecolecon.2009.02.019
   Bouwer L.M., 2007, Adaptive flood management: the role of insurance and compensation in Europe
   Bouwer LM, 2007, SCIENCE, V318, P753, DOI 10.1126/science.1149628
   Brouwer R, 2005, COST-BENEFIT ANALYSIS AND WATER RESOURCES MANAGEMENT, P93
   Brouwer R., 2013, EC IMPACTS NATURAL D
   Bubeck P., 2012, COMPREHENSIVE FLOOD
   Cavailhès J, 2009, ENVIRON RESOUR ECON, V44, P571, DOI 10.1007/s10640-009-9302-8
   Cha EJ, 2014, STRUCT INFRASTRUCT E, V10, P697, DOI 10.1080/15732479.2012.758642
   Clarke L., 2005, Natural Hazards Observer, V29, P1
   ClimateCost Project, 2013, REP PUBL
   Comite Europeen des Assurances (CEA), 2011, INS NAT CAT EUR POS
   de Bruin K, 2009, CLIMATIC CHANGE, V95, P23, DOI 10.1007/s10584-009-9576-4
   de Jong M, 2010, PROCEDIA ENGINEER, V3, P153, DOI 10.1016/j.proeng.2010.07.015
   Eckel CC, 2008, J ECON BEHAV ORGAN, V68, P1, DOI 10.1016/j.jebo.2008.04.006
   EDO, 2014, CURR DROUGHTS
   EIB, 2013, ACC FLOOD PREV 2006
   Environment Agency, 2014, MAK FLOOD PLAN
   European Union Solidarity Fund (EUSF), 2010, EUR UN SOL FUND
   Froot KA, 2001, J FINANC ECON, V60, P529, DOI 10.1016/S0304-405X(01)00052-6
   Fuchs S, 2007, NAT HAZARDS, V41, P113, DOI 10.1007/s11069-006-9031-z
   Greenberg MR, 2007, RISK ANAL, V27, P83, DOI 10.1111/j.1539-6924.2006.00861.x
   Guiso L, 2008, J EUR ECON ASSOC, V6, P1109, DOI 10.1162/JEEA.2008.6.6.1109
   Hallegatte S., 2012, 6058 WORLD BANK
   Hamilton JM, 2007, ECOL ECON, V62, P594, DOI 10.1016/j.ecolecon.2006.08.001
   Hellmann TF, 2000, AM ECON REV, V90, P147, DOI 10.1257/aer.90.1.147
   Hensher D, 2006, ECON REC, V82, P56, DOI 10.1111/j.1475-4932.2006.00293.x
   Henstra D, 2010, PUBLIC ADMIN REV, V70, P236, DOI 10.1111/j.1540-6210.2010.02130.x
   Horowitz JK, 2002, J ENVIRON ECON MANAG, V44, P426, DOI 10.1006/jeem.2001.1215
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Jianakoplos NA, 1998, ECON INQ, V36, P620, DOI 10.1111/j.1465-7295.1998.tb01740.x
   Joint Research Centre, 2013, FLOODS PORT
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Katzman MartinT., 1988, J RISK INSURANCE, V55, P75, DOI DOI 10.2307/253282
   Kind JM, 2014, J FLOOD RISK MANAG, V7, P103, DOI 10.1111/jfr3.12026
   Kreibich H, 2011, NAT HAZARD EARTH SYS, V11, P309, DOI 10.5194/nhess-11-309-2011
   Lumbroso D, 2012, J CONTING CRISIS MAN, V20, P149, DOI 10.1111/j.1468-5973.2012.00665.x
   Martin-Ortega J., 2009, BASQUE CTR CLIMATE C
   MEDIS, 2014, METH ERF DIR IND HOC
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P509, DOI 10.5194/nhess-10-509-2010
   Meteoalarm, 2013, WEATH WARN EUR
   Meteofrance, 2013, ACTUALITES      0905
   Meyer V, 2013, NAT HAZARD EARTH SYS, V13, P1351, DOI 10.5194/nhess-13-1351-2013
   Ministerie van Verkeer en Waterstaat, 2002, NED LEEFT MET WAT BR
   National Ocean Economics Program (NOEP), 2013, AB NOEP
   NeWater, 2013, CAS STUD
   Ozdemir O, 2011, J RISK RES, V14, P17, DOI 10.1080/13669871003782751
   Pan QS, 2011, NAT HAZARDS REV, V12, P146, DOI 10.1061/(ASCE)NH.1527-6996.0000036
   Parker D., 2009, T100811
   Paudel Y, 2012, GENEVA PAP R I-ISS P, V37, P257, DOI 10.1057/gpp.2012.16
   Penning-Rowsell E., 2005, The Benefits of Flood and Coastal Risk Management: a Handbook of Assessment Techniques
   Penning-Rowsell EC, 2000, J CHART INST WATER E, V14, P347
   Penning-Rowsell E, 2006, T I BRIT GEOGR, V31, P99, DOI 10.1111/j.1475-5661.2006.00200.x
   Petrow T, 2006, ENVIRON MANAGE, V38, P717, DOI 10.1007/s00267-005-6291-4
   Pfurtscheller C., 2010, HOCHWASSERSCHADEN ER, P253
   Prim, 2013, PREV RISQ MAJ
   Raschky P., 2009, ALTERNATIVE FINANZIE, P28
   Raschky PA, 2013, ENVIRON RESOUR ECON, V54, P179, DOI 10.1007/s10640-012-9586-y
   Risicokaart, 2013, INF RIS
   Rogers David, 2011, Costs and Benefits of Early Warning Systems
   Schwarze R, 2011, ENVIRON POLICY GOV, V21, P14, DOI 10.1002/eet.554
   Smith VH, 2012, APPL ECON PERSPECT P, V34, P363, DOI 10.1093/aepp/pps029
   Stoffel L., 2005, TEC 21, V131, P4
   Strategy Y, WORLD C NAT DIS RED
   Tanaka T, 2010, AM ECON REV, V100, P557, DOI 10.1257/aer.100.1.557
   Thieken AH, 2006, RISK ANAL, V26, P383, DOI 10.1111/j.1539-6924.2006.00741.x
   Thieken AH, 2007, HYDROLOG SCI J, V52, P1016, DOI 10.1623/hysj.52.5.1016
   TVERSKY A, 1992, J RISK UNCERTAINTY, V5, P297, DOI 10.1007/BF00122574
   Uhlemann S., 2013, Nat. Hazards Earth Syst. Sci. Discuss, V1, P143, DOI DOI 10.5194/NHESSD-1-143-2013
   UNISDR, 2009, GLOB ASS REP DIS RIS
   United Nations International Strategy for Disaster Reduction (UNISDR), 2005, WORLD C DIS RED UN I
   van der Heide CM, 2008, ECOL ECON, V67, P205, DOI 10.1016/j.ecolecon.2008.04.012
   Warner K., 2007, Environmental Hazards, V7, P32, DOI 10.1016/j.envhaz.2007.04.006
   Warner KokoNicola Ranger., 2009, Adaptation to Climate Change: Linking Disaster Risk Reduction and Insurance
   Werners SE, 2011, ADV GLOB CHANGE RES, V42, P371, DOI 10.1007/978-94-007-0567-8_27
   Whitehead JC, 2003, OCEAN COAST MANAGE, V46, P1069, DOI 10.1016/j.ocecoaman.2003.11.001
   World Bank and United Nations Natural Hazards, 2010, Natural Hazards, Unnatural Disasters: The economics of effective prevention
   Zhai GF, 2006, RISK ANAL, V26, P683, DOI 10.1111/j.1539-6924.2006.00771.x
NR 87
TC 25
Z9 27
U1 1
U2 80
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1527-6988
EI 1527-6996
J9 NAT HAZARDS REV
JI Nat. Hazards Rev.
PD NOV
PY 2014
VL 15
IS 4
AR 04014010
DI 10.1061/(ASCE)NH.1527-6996.0000133
PG 10
WC Engineering, Civil; Environmental Studies; Geosciences,
   Multidisciplinary; Meteorology & Atmospheric Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology; Geology; Meteorology &
   Atmospheric Sciences; Water Resources
GA AU6XH
UT WOS:000345744200003
DA 2025-01-10
ER

PT J
AU Liepe, KJ
   van der Maaten, E
   van der Maaten-theunissen, M
   Liesebach, M
AF Liepe, Katharina Julie
   van der Maaten, Ernst
   van der Maaten-Theunissen, Marieke
   Liesebach, Mirko
TI High Phenotypic Plasticity, but Low Signals of Local Adaptation to
   Climate in a Large-Scale Transplant Experiment of <i>Picea abies</i>
   (L.) Karst. in Europe
SO FRONTIERS IN FORESTS AND GLOBAL CHANGE
LA English
DT Article
DE assisted migration; climate change; height growth; local adaptation;
   phenotypic plasticity; provenance trial; species distribution model;
   universal response function
ID NORWAY SPRUCE; SPECIES DISTRIBUTION; DOUGLAS-FIR; DISTRIBUTION MODELS;
   ASSISTED MIGRATION; TREE POPULATIONS; GENE FLOW; RESPONSES; RANGE;
   FORESTRY
AB The most common tool to predict future changes in species range are species distribution models. These models do, however, often underestimate potential future habitat, as they do not account for phenotypic plasticity and local adaptation, although being the most important processes in the response of tree populations to rapid climate change. Here, we quantify the difference in the predictions of future range for Norway spruce, by (i) deriving a classic, occurrence-based species distribution model (OccurrenceSDM), and (ii) analysing the variation in juvenile tree height and translating this to species occurrence (TraitSDM). Making use of 32 site locations of the most comprehensive European trial series that includes 1,100 provenances of Norway spruce originating from its natural and further beyond from its largely extended, artificial distribution, we fit a universal response function to quantify growth as a function of site and provenance climate. Both the OccurrenceSDM and TraitSDM show a substantial retreat towards the northern latitudes and higher elevations (-55 and -43%, respectively, by the 2080s). However, thanks to the species' particularly high phenotypic plasticity in juvenile height growth, the decline is delayed. The TraitSDM identifies increasing summer heat paired with decreasing water availability as the main climatic variable that restricts growth, while a prolonged frost-free period enables a longer period of active growth and therefore increasing growth potential within the restricted, remaining area. Clear signals of local adaptation to climatic clines spanning the entire range are barely detectable, as they are disguised by a latitudinal cline. This cline strongly reflects population differentiation for the Baltic domain, but fails to capture the high phenotypic variation associated to the geographic heterogeneity in the Central European mountain ranges paired with the species history of postglacial migration. Still the model is used to provide recommendations of optimal provenance choice for future climate conditions. In essence, assisted migration may not decrease the predicted range decline of Norway spruce, but may help to capitalize on potential opportunities for increased growth associated with warmer climates.
C1 [Liepe, Katharina Julie; van der Maaten, Ernst; van der Maaten-Theunissen, Marieke] Tech Univ Dresden, Chair Forest Growth & Woody Biomass Prod, Tharandt, Germany.
   [Liepe, Katharina Julie; Liesebach, Mirko] Thuenen Inst Forest Genet, Grosshansdorf, Germany.
C3 Technische Universitat Dresden; Johann Heinrich von Thunen Institute
RP Liepe, KJ (corresponding author), Tech Univ Dresden, Chair Forest Growth & Woody Biomass Prod, Tharandt, Germany.; Liepe, KJ (corresponding author), Thuenen Inst Forest Genet, Grosshansdorf, Germany.
EM katharina.liepe@thuenen.de
OI van der Maaten, Ernst/0000-0002-5218-6682; van der Maaten-Theunissen,
   Marieke/0000-0002-2942-9180; Liepe, Katharina/0000-0003-0511-4325
CR 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
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   [Anonymous], 1977, FICHTE
   [Anonymous], 2003, EUFORGEN Technical Guidelines for Genetic Conservation and Use for Norway Spruce (Picea abies)
   Araújo MB, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aat4858
   Balut S, 2002, Inventory provenance test of Norway spruce (Picea abies (L.) Karst.) IPTNS-IUFRO 1964/68 in Krynica. Part II: Test results of 1968-1984. Geographical variability of traits in the whole range of species
   Barbet-Massin M, 2012, METHODS ECOL EVOL, V3, P327, DOI 10.1111/j.2041-210X.2011.00172.x
   Barnes JC, 2019, BIODIVERS CONSERV, V28, P3199, DOI 10.1007/s10531-019-01814-8
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   BRADSHAW A. D., 1965, ADVANCE GENET, V13, P115, DOI 10.1016/S0065-2660(08)60048-6
   Buras A, 2019, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01986
   Caudullo G., 2016, European Atlas of Forest Tree Species, P114, DOI DOI 10.2788/4251
   Chakraborty D, 2021, ANN FOREST SCI, V78, DOI 10.1007/s13595-021-01029-4
   Chakraborty D, 2019, ECOGRAPHY, V42, P88, DOI 10.1111/ecog.03888
   Chakraborty D, 2019, SCI TOTAL ENVIRON, V654, P393, DOI 10.1016/j.scitotenv.2018.11.093
   Chakraborty D, 2016, EUR J FOREST RES, V135, P919, DOI 10.1007/s10342-016-0984-5
   Chakraborty D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0136357
   Cinelli C, 2020, J ROY STAT SOC B, V82, P39, DOI 10.1111/rssb.12348
   Collignon AM, 2002, CAN J FOREST RES, V32, P266, DOI [10.1139/x01-198, 10.1139/X01-198]
   Delzon S, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0080443
   Dormann CF, 2013, ECOGRAPHY, V36, P27, DOI 10.1111/j.1600-0587.2012.07348.x
   Dyderski MK, 2018, GLOBAL CHANGE BIOL, V24, P1150, DOI 10.1111/gcb.13925
   Felton A, 2017, AMBIO, V46, P324, DOI 10.1007/s13280-017-0909-7
   Franks SJ, 2014, EVOL APPL, V7, P123, DOI 10.1111/eva.12112
   Fréjaville T, 2020, GLOBAL CHANGE BIOL, V26, P484, DOI 10.1111/gcb.14881
   Gárate-Escamilla H, 2019, GLOBAL ECOL BIOGEOGR, V28, P1336, DOI 10.1111/geb.12936
   Gardiner B., 2010, Destructive storms in European forests: past and forthcoming impacts
   Garzón MB, 2019, NEW PHYTOL, V222, P1757, DOI 10.1111/nph.15716
   Giertych Maciej, 2007, V78, P115
   Gray LK, 2013, CLIMATIC CHANGE, V117, P289, DOI 10.1007/s10584-012-0548-8
   Gueguen Maya, 2024, CRAN
   Guisan A, 2005, ECOL LETT, V8, P993, DOI 10.1111/j.1461-0248.2005.00792.x
   Hannerz M, 1999, CAN J FOREST RES, V29, P9, DOI 10.1139/cjfr-29-1-9
   Hu XG, 2019, FORESTS, V10, DOI 10.3390/f10080622
   Isaac-Renton MG, 2014, GLOBAL CHANGE BIOL, V20, P2607, DOI 10.1111/gcb.12604
   Isik K, 2010, FOREST SCI, V56, P212
   Iturbide M, 2015, ECOL MODEL, V312, P166, DOI 10.1016/j.ecolmodel.2015.05.018
   Jansen S, 2017, ANN FOREST SCI, V74, DOI 10.1007/s13595-017-0644-z
   Kapeller S, 2017, EVOL APPL, V10, P25, DOI 10.1111/eva.12413
   Kapeller S, 2012, FOREST ECOL MANAG, V271, P46, DOI 10.1016/j.foreco.2012.01.039
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   KRAMER K, 1995, PLANT CELL ENVIRON, V18, P93, DOI 10.1111/j.1365-3040.1995.tb00356.x
   Krutzsch P., 1974, Silvae Genetica, V23, P58
   KRUTZSCH P, 1992, SILVAE GENET, V41, P143
   Latalowa M, 2006, QUATERNARY SCI REV, V25, P2780, DOI 10.1016/j.quascirev.2006.06.007
   Leites LP, 2012, NAT RESOUR MODEL, V25, P409, DOI 10.1111/j.1939-7445.2012.00129.x
   Liepe K.J., 2020, TH NEN REP, V76, P60, DOI [10.3220/REP1584625360000, DOI 10.3220/REP1584625360000]
   Liesebach M, 2001, FOR SCI, V70, P353
   Liu CR, 2005, ECOGRAPHY, V28, P385, DOI 10.1111/j.0906-7590.2005.03957.x
   Marchi M, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00763-0
   Marini L, 2017, ECOGRAPHY, V40, P1426, DOI 10.1111/ecog.02769
   MATYAS C, 1994, TREE PHYSIOL, V14, P797, DOI 10.1093/treephys/14.7-8-9.797
   Mauri A, 2017, SCI DATA, V4, DOI 10.1038/sdata.2016.123
   Meier ES, 2012, GLOBAL ECOL BIOGEOGR, V21, P164, DOI 10.1111/j.1466-8238.2011.00669.x
   Milesi P, 2019, EVOL APPL, V12, P1946, DOI 10.1111/eva.12855
   Morgenstern E.K., 1996, Geographic variation in forest trees: genetic basis and application of knowledge in silviculture
   Morin X, 2007, ECOLOGY, V88, P2280, DOI 10.1890/06-1591.1
   Nakao K, 2013, J NAT CONSERV, V21, P406, DOI 10.1016/j.jnc.2013.06.003
   Paul C, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-018-0793-8
   Pecchi M, 2020, FORESTS, V11, DOI 10.3390/f11090934
   Pedlar JH, 2012, BIOSCIENCE, V62, P835, DOI 10.1525/bio.2012.62.9.10
   Petit RJ, 2004, FOREST ECOL MANAG, V197, P117, DOI 10.1016/j.foreco.2004.05.009
   R Core Team, 2019, R LANG ENV STAT COMP
   Rau H. M., 1983, Forstarchiv, V54, P15
   Rehfeldt G.E., 2006, GEN TECHNICAL REPORT, P21, DOI DOI 10.2737/RMRS-GTR-165
   Rehfeldt GE, 2014, FOREST ECOL MANAG, V324, P147, DOI 10.1016/j.foreco.2014.02.040
   Sáenz-Romero C, 2019, PEERJ, V7, DOI 10.7717/peerj.6213
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Schmidt-Vogt H, 1986, FICHTE
   Schuldt B, 2020, BASIC APPL ECOL, V45, P86, DOI 10.1016/j.baae.2020.04.003
   Taccoen A, 2019, P ROY SOC B-BIOL SCI, V286, DOI 10.1098/rspb.2019.0386
   Takolander A, 2019, REG ENVIRON CHANGE, V19, P251, DOI 10.1007/s10113-018-1403-x
   Thuiller W, 2012, BIOMOD: Tutorial
   Tollefsrud MM, 2008, MOL ECOL, V17, P4134, DOI 10.1111/j.1365-294X.2008.03893.x
   Ujvari-Jarmay E., 2016, ACTA SILV LIGNARIA H, V12, P178, DOI [DOI 10.1515/aslh-2016-0001, 10.1515/aslh-2016-0001]
   Urban MC, 2016, SCIENCE, V353, P1113, DOI 10.1126/science.aad8466
   van der Maaten E, 2017, ECOL EVOL, V7, P2585, DOI 10.1002/ece3.2696
   Vitali V, 2017, GLOBAL CHANGE BIOL, V23, P5108, DOI 10.1111/gcb.13774
   Vizcaíno-Palomar N, 2020, SCI TOTAL ENVIRON, V749, DOI 10.1016/j.scitotenv.2020.141454
   Wang TL, 2012, J APPL METEOROL CLIM, V51, P16, DOI 10.1175/JAMC-D-11-043.1
   Wang TL, 2010, ECOL APPL, V20, P153, DOI 10.1890/08-2257.1
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
   Yang J, 2015, FOREST ECOL MANAG, V339, P34, DOI 10.1016/j.foreco.2014.12.001
   Zeltins P, 2019, FORESTS, V10, DOI 10.3390/f10100840
   Zurell D, 2020, ECOGRAPHY, V43, P1261, DOI 10.1111/ecog.04960
NR 86
TC 16
Z9 16
U1 0
U2 16
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-893X
J9 FRONT FOR GLOB CHANG
JI Front. For. Glob. Change
PD MAR 29
PY 2022
VL 5
AR 804857
DI 10.3389/ffgc.2022.804857
PG 15
WC Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Forestry
GA 0O7BM
UT WOS:000783679000001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Caretta, MA
   Börjeson, L
AF Caretta, Martina Angela
   Borjeson, Lowe
TI Local gender contract and adaptive capacity in smallholder irrigation
   farming: a case study from the Kenyan drylands
SO GENDER PLACE AND CULTURE
LA English
DT Article
DE local gender contract; gendered adaptive capacity; climate variability;
   smallholder irrigation farming; East African drylands
ID INDIGENOUS IRRIGATION; FOOD SECURITY; AGRICULTURE; ADAPTATION;
   INTERVIEW; MARAKWET; POVERTY; PLACE
AB This article presents the local gender contract of a smallholder irrigation farming community in Sibou, Kenya. Women's role in subsistence farming in Africa has mostly been analyzed through the lens of gender division of labor. In addition to this, we used the concept of 'local gender contract' to analyze cultural and material preconditions shaping gender-specific tasks in agricultural production, and consequently, men's and women's different strategies for adapting to climate variability. We show that the introduction of cash crops, as a trigger for negotiating women's and men's roles in the agricultural production, results in a process of gender contract renegotiation, and that families engaged in cash cropping are in the process of shifting from a 'local resource contract' to a 'household income contract.' Based on our analysis, we argue that a transformation of the local gender contract will have a direct impact on the community's adaptive capacity climate variability. It is, therefore, important to take the negotiation of local gender contracts into account in assessments of farming communities' adaptive capacity.
C1 [Caretta, Martina Angela; Borjeson, Lowe] Stockholm Univ, Dept Human Geog, S-10691 Stockholm, Sweden.
C3 Stockholm University
RP Caretta, MA (corresponding author), Stockholm Univ, Dept Human Geog, Svante Arhenius Vag 8, S-10691 Stockholm, Sweden.
EM martina@humangeo.su.se
RI Borjeson, Lowe/AAB-5552-2020
OI Borjeson, Lowe/0000-0002-2445-2699; Caretta, Dr. Martina
   Angela/0000-0002-6811-304X
FU Swedish International Cooperation Agency [SWE2009-210]; Swedish Society
   for Anthropology and Geography
FX The financial support for this research was provided by the Swedish
   International Cooperation Agency (SWE2009-210) and the Swedish Society
   for Anthropology and Geography.
CR Adams WM, 1997, DEV CHANGE, V28, P707, DOI 10.1111/1467-7660.00061
   Andersson E, 2012, INT J AGR SUSTAIN, V10, P245, DOI 10.1080/14735903.2012.666029
   Anita Larsson, 1995, GENDER RES URBANIZAT, P212
   Anna-Klara Lindeborg, 2012, GENDERED SPACES BEND
   [Anonymous], CLIM CHANG AD AFR AG
   [Anonymous], 1984, The constitution of society: Outline of the theory of structuration
   Baxter J, 1997, T I BRIT GEOGR, V22, P505, DOI 10.1111/j.0020-2754.1997.00505.x
   Bina Agarwal, 2011, 107 DESA
   Bryceson DF, 2002, WORLD DEV, V30, P725, DOI 10.1016/S0305-750X(02)00006-2
   Camilla Arlin, HDB HIST ECOLOGY APP
   Carpiano RM, 2009, HEALTH PLACE, V15, P263, DOI 10.1016/j.healthplace.2008.05.003
   CHAFETZ JS, 1988, J FAM ISSUES, V9, P108, DOI 10.1177/019251388009001006
   CHO Jeasik, 2006, Qualitative Research, V6, P319, DOI [10.1177/1468794106065006, DOI 10.1177/1468794106065006]
   Christina Gladwin H., 2002, AFRICAN STUDIES Q, V6
   Demetriades J, 2008, IDS BULL-I DEV STUD, V39, P24, DOI 10.1111/j.1759-5436.2008.tb00473.x
   Deutsch FM, 2007, GENDER SOC, V21, P106, DOI 10.1177/0891243206293577
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Ester Boserup., 1970, Woman's Role in Economic Development
   FAO, 2011, EX SUMM
   *Forsberg G., 1998, Innovation: The European Journal of Social Science Research, V11, P191, DOI [https://doi.org/10.1080/13511610.1998.9968561, DOI 10.1080/13511610.1998.9968561]
   Gunnel Forsberg, 2010, PLACING HUMAN GEOGRA
   Gunnel Forsberg, 2001, NORSK GEOGRAFISK TID, V55, P161, DOI [10.1080/002919501753129916, DOI 10.1080/002919501753129916]
   HIRDMAN Y, 1991, ACT JUTLAND, V67, P187
   Hovorka AJ, 2006, GENDER PLACE CULT, V13, P207, DOI 10.1080/09663690600700956
   Johnson L, 2008, GENDER PLACE CULT, V15, P561, DOI 10.1080/09663690802518412
   Joseph Thomson, 1885, THROUGH MAASAILAND
   Kalabamu F, 2005, HABITAT INT, V29, P245, DOI 10.1016/j.habitatint.2003.09.005
   Kipkorir D., 2012, International Journal of Humanities and Social Science, V2, P113
   KNBS (Kenya National Bureau of Statistics), 2009, KEN POP HOUS CENS B, VIB
   Kodalo Julius T, 2000, NYAME AKUMA, V53, P12
   Kusenbach M., 2003, ETHNOGRAPHY, V4, P455, DOI DOI 10.1177/146613810343007
   Liisa Rantalaiho, 1997, GENDERED PRACTICES W
   Little J., 2003, Gender, Place and Culture, V10, P281, DOI [10.1080/0966369032000114046, DOI 10.1080/0966369032000114046]
   Madriz E., 2000, HDB QUALITATIVE RES, P835
   Manuel Fischer, 2012, THESIS STOCKHOLM U
   Martin PY, 2004, SOC FORCES, V82, P1249, DOI 10.1353/sof.2004.0081
   Matthew Davies, 2011, 1 SEAS FIELDW APR SE
   MooreHenrietta L, 1995, SPACE TEXT GENDER AN
   MorganDavid L, 1997, FOCUS GROUP GUIDEBOO
   Ostberg W., 2004, ISLANDSINTENSIVE AGR, P19
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Richard A.K., 2008, FOCUS GROUPS PRACTIC, V4th
   Risman BJ, 2009, GENDER SOC, V23, P81, DOI 10.1177/0891243208326874
   Risman BJ, 2004, GENDER SOC, V18, P429, DOI 10.1177/0891243204265349
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   Scott JW, 2010, DIOGENES, V57, P7, DOI 10.1177/0392192110369316
   Sheridan MJ, 2002, AM ANTHROPOL, V104, P79, DOI 10.1525/aa.2002.104.1.79
   Songok CK, 2011, CLIM CHANG MANAG, P69, DOI 10.1007/978-3-642-22315-0_5
   Thomas-Slayter B., 1995, GENDER ENV DEV KENYA
   Watson EE, 1998, GEOGR J, V164, P67, DOI 10.2307/3060546
   Yvonne Hirdman, 1990, GENDER SYSTEM THEORE
   Yvonne Hirdman, 1994, WOMEN POSSIBILITY PR
NR 52
TC 40
Z9 44
U1 1
U2 7
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0966-369X
EI 1360-0524
J9 GENDER PLACE CULT
JI Gend. Place Cult.
PD MAY 28
PY 2015
VL 22
IS 5
BP 644
EP 661
DI 10.1080/0966369X.2014.885888
PG 18
WC Geography; Women's Studies
WE Social Science Citation Index (SSCI)
SC Geography; Women's Studies
GA CF1EI
UT WOS:000352286100004
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Dauwe, R
   Holliday, JA
   Aitken, SN
   Mansfield, SD
AF Dauwe, Rebecca
   Holliday, Jason A.
   Aitken, Sally N.
   Mansfield, Shawn D.
TI Metabolic dynamics during autumn cold acclimation within and among
   populations of Sitka spruce (Picea sitchensis)
SO NEW PHYTOLOGIST
LA English
DT Article
DE cold hardening; freeze tolerance; metabolomics; spruce; transcriptomics
ID ARABIDOPSIS-THALIANA; FREEZING TOLERANCE; SPECTROMETRY DATA;
   GENETIC-VARIATION; LOCAL ADAPTATION; CAMBIAL MERISTEM; IDENTIFICATION;
   DORMANCY; TRAITS; PLANTS
AB Autumnal cold acclimation in conifers is a complex process, the timing and extent of which vary widely along latitudinal gradients for many tree species and reflect local adaptation to climate. Although previous studies have detailed some aspects of the metabolic remodelling that accompanies cold acclimation in conifers, little is known about global metabolic dynamics, or how these changes vary among phenotypically divergent populations.
   Using untargeted GC-MS metabolite profiling, we monitored metabolic dynamics during autumnal cold acclimation in three populations of Sitka spruce from the southern, central, and northern portions of the species range, which differ in both the timing and extent of cold acclimation.
   Latitudinal variation was evident in the nature, intensity, and timing of metabolic events. Early development of strong freezing tolerance in the northern population was associated with a transient accumulation of amino acids. By late autumn, metabolic profiles were highly similar between the northern and central populations, whereas profiles for the southern population were relatively distinct.
   Our results provide insight into the metabolic architecture of latitudinal adaptive variation in autumn acclimation and show that different mechanisms are the basis of early October cold hardiness and autumn-acclimated cold hardiness.
C1 [Dauwe, Rebecca; Mansfield, Shawn D.] Univ British Columbia, Fac Forestry, Dept Wood Sci, Vancouver, BC V6T 1Z4, Canada.
   [Holliday, Jason A.; Aitken, Sally N.] Univ British Columbia, Fac Forestry, Dept Forest Sci, Vancouver, BC V6T 1Z4, Canada.
C3 University of British Columbia; University of British Columbia
RP Mansfield, SD (corresponding author), Univ British Columbia, Fac Forestry, Dept Wood Sci, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
EM shawn.mansfield@ubc.ca
RI Mansfield, Shawn/AFT-9117-2022
OI Mansfield, Shawn/0000-0002-0175-554X; Dauwe, Rebecca/0000-0002-1060-441X
FU Genome Canada
FX The authors acknowledge the technical assistance of Russell Chedgy for
   his efforts in sample preparation. The authors acknowledge financial
   support from Genome Canada grant held by S.D.M. and S.N.A.
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   [Anonymous], 2011, MIXOMICS OMICS DATA
   Bouché N, 2003, TRENDS CELL BIOL, V13, P607, DOI 10.1016/j.tcb.2003.10.001
   DeBolt S, 2006, P NATL ACAD SCI USA, V103, P5608, DOI 10.1073/pnas.0510864103
   Druart N, 2007, PLANT J, V50, P557, DOI 10.1111/j.1365-313X.2007.03077.x
   Eckert AJ, 2009, GENETICS, V182, P1289, DOI 10.1534/genetics.109.102350
   Foyer CH, 1997, PHYSIOL PLANTARUM, V100, P241, DOI 10.1034/j.1399-3054.1997.1000205.x
   González-Martínez SC, 2006, MOL ECOL, V15, P4577, DOI 10.1111/j.1365-294X.2006.03118.x
   Hannah MA, 2006, PLANT PHYSIOL, V142, P98, DOI 10.1104/pp.106.081141
   Holliday JA, 2008, NEW PHYTOL, V178, P103, DOI 10.1111/j.1469-8137.2007.02346.x
   Holliday JA, 2010, NEW PHYTOL, V188, P501, DOI 10.1111/j.1469-8137.2010.03380.x
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   Kang JM, 2003, P NATL ACAD SCI USA, V100, P6872, DOI 10.1073/pnas.1030961100
   Kaplan F, 2005, PLANT J, V44, P730, DOI 10.1111/j.1365-313X.2005.02565.x
   Kocsy G, 2001, PHYSIOL PLANTARUM, V113, P158, DOI 10.1034/j.1399-3054.2001.1130202.x
   Korn M, 2010, MOL PLANT, V3, P224, DOI 10.1093/mp/ssp105
   Lê Cao KA, 2009, BIOINFORMATICS, V25, P2855, DOI 10.1093/bioinformatics/btp515
   Maciejewska U, 2002, J PLANT PHYSIOL, V159, P397, DOI 10.1078/0176-1617-00636
   Maruyama K, 2009, PLANT PHYSIOL, V150, P1972, DOI 10.1104/pp.109.135327
   Mimura M, 2007, HEREDITY, V99, P224, DOI 10.1038/sj.hdy.6800987
   Mimura M, 2010, J EVOLUTION BIOL, V23, P249, DOI 10.1111/j.1420-9101.2009.01910.x
   Neale DB, 2004, TRENDS PLANT SCI, V9, P325, DOI 10.1016/j.tplants.2004.05.006
   POMEROY MK, 1970, CAN J BOTANY, V48, P953, DOI 10.1139/b70-134
   RAWSTHORNE S, 1991, PLANTA, V186, P122, DOI 10.1007/BF00201507
   Robinson AR, 2007, NEW PHYTOL, V174, P762, DOI 10.1111/j.1469-8137.2007.02046.x
   Ruttink T, 2007, PLANT CELL, V19, P2370, DOI 10.1105/tpc.107.052811
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Schauer N, 2005, FEBS LETT, V579, P1332, DOI 10.1016/j.febslet.2005.01.029
   Schrader J, 2004, PLANT J, V40, P173, DOI 10.1111/j.1365-313X.2004.02199.x
   Shelp BJ, 1999, TRENDS PLANT SCI, V4, P446, DOI 10.1016/S1360-1385(99)01486-7
   Smith CA, 2006, ANAL CHEM, V78, P779, DOI 10.1021/ac051437y
   Stein SE, 1999, J AM SOC MASS SPECTR, V10, P770, DOI 10.1016/S1044-0305(99)00047-1
   Yakovlev IA, 2010, NEW PHYTOL, V187, P1154, DOI 10.1111/j.1469-8137.2010.03341.x
   Zuther E, 2004, FEBS LETT, V576, P169, DOI 10.1016/j.febslet.2004.09.006
NR 34
TC 49
Z9 55
U1 0
U2 61
PU WILEY-BLACKWELL
PI MALDEN
PA COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA
SN 0028-646X
J9 NEW PHYTOL
JI New Phytol.
PD APR
PY 2012
VL 194
IS 1
SI SI
BP 192
EP 205
DI 10.1111/j.1469-8137.2011.04027.x
PG 14
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 898EQ
UT WOS:000300719400020
PM 22248127
OA Bronze
DA 2025-01-10
ER

PT J
AU Ravera, F
   Hubacek, K
   Reed, M
   Tarrasón, D
AF Ravera, Federica
   Hubacek, Klaus
   Reed, Mark
   Tarrason, David
TI Learning from Experiences in Adaptive Action Research: a Critical
   Comparison of two Case Studies Applying Participatory Scenario
   Development and Modelling Approaches
SO ENVIRONMENTAL POLICY AND GOVERNANCE
LA English
DT Article
DE adaptive action-research; iterative learning; Nicaragua; participatory
   modelling; scenario analysis; UK
ID SOCIAL-ECOLOGICAL-SYSTEMS; MANAGEMENT; CONSERVATION; FUTURES
AB This paper contributes to the emerging debate on participatory modelling at the core of adaptive action research. We compare and reflect upon lessons learned from two projects in very different bio-physical and socio-economic contexts, the UK and Nicaragua, and outline a shared theoretical and methodological framework to assist researchers and local stakeholders to jointly assess, monitor and adapt to climatic and other changes. We discuss opportunities and obstacles, specifically: (1) incorporating uncertainty and surprises; (2) combining epistemologies; (3) dealing with representativeness and power dynamics; (4) creating opportunities for improving stakeholders' agency; and (5) facilitating dialogue and negotiation by using models as heuristics. Our analysis emphasizes the importance of dealing with unavoidable trade-offs when engaging in participatory and interdisciplinary research in complex and uncertain decision-making contexts. The participatory modelling experiences show that stakeholders' involvement throughout the process, epistemological plurality, flexibility and sensitivity to context-dependent socio-cultural processes need to be considered by researchers who wish to enhance the adaptive capacity of the communities they work with. Copyright (C) 2011 John Wiley & Sons, Ltd and ERP Environment.
C1 [Hubacek, Klaus] Univ Maryland, Dept Geog, College Pk, MD 20742 USA.
   [Ravera, Federica] Univ Autonoma Barcelona, Inst Environm Sci & Technol ICTA, Bellaterra, Spain.
   [Ravera, Federica; Tarrason, David] Univ Leeds, Ctr Climate Change Econ & Policy, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England.
   [Reed, Mark] Univ Aberdeen, Aberdeen Ctr Environm Sustainabil, Sch Geosci, Aberdeen AB9 1FX, Scotland.
   [Reed, Mark] Univ Aberdeen, Ctr Planning & Environm Management, Sch Geosci, Aberdeen AB9 1FX, Scotland.
   [Tarrason, David] Univ Autonoma Barcelona, Ctr Ecol Res & Forestry Applicat CREAF, Unit Ecol, Bellaterra, Spain.
C3 University System of Maryland; University of Maryland College Park;
   Autonomous University of Barcelona; University of Leeds; University of
   Aberdeen; University of Aberdeen; Autonomous University of Barcelona;
   Centro de Investigacion Ecologica y Aplicaciones Forestales
   (CREAF-CERCA)
RP Hubacek, K (corresponding author), Univ Maryland, Dept Geog, College Pk, MD 20742 USA.
EM hubacek@umd.edu
RI Tarrason, David/B-7962-2019; Hubacek, Klaus/GVS-6444-2022
OI Ravera, Federica/0000-0001-6282-6236; Reed, Mark/0000-0002-8958-8474;
   Hubacek, Klaus/0000-0003-2561-6090
FU ESRC [RES-227-25-0001, ES/H037144/1] Funding Source: UKRI
CR [Anonymous], J ENV MANAG IN PRESS
   [Anonymous], 1998, HUMAN CHOICE AND CLI
   Barreteau O, 2010, ECOL SOC, V15
   Biggs R, 2007, ECOL SOC, V12
   Chapman DS, 2009, J APPL ECOL, V46, P278, DOI 10.1111/j.1365-2664.2009.01618.x
   Clay GD, 2010, J HYDROL, V380, P135, DOI 10.1016/j.jhydrol.2009.10.030
   Cooke B., 2001, Participation: the new tyranny?, P102
   Crane TA, 2010, ECOL SOC, V15
   Dahinden U., 2003, PUBLIC PARTICIPATION, P105, DOI DOI 10.1017/CBO9780511490972.010
   Dewulf A, 2005, WATER SCI TECHNOL, V52, P115, DOI 10.2166/wst.2005.0159
   Enfors EI, 2008, ECOL SOC, V13
   Evely AC, 2008, ECOL SOC, V13, DOI 10.5751/ES-02679-130252
   Fazey I, 2010, GLOBAL ENVIRON CHANG, V20, P713, DOI 10.1016/j.gloenvcha.2010.04.011
   FUNTOWICZ SO, 1994, ECOL ECON, V10, P197, DOI 10.1016/0921-8009(94)90108-2
   Holling C.S., 1978, Adaptive environmental assessment and management
   Hubacek K., 2009, Adaptive Environmental Management, P189, DOI DOI 10.1007/978-1-4020-9632-7_
   Kirkby MJ, 2008, EUR J SOIL SCI, V59, P1293, DOI 10.1111/j.1365-2389.2008.01072.x
   Magnuszewski Piotr, 2005, Int J Environ Res Public Health, V2, P194, DOI 10.3390/ijerph2005020001
   Meinke H, 2009, CURR OPIN ENV SUST, V1, P69, DOI 10.1016/j.cosust.2009.07.007
   Miller TR, 2008, ECOL SOC, V13
   Nainggolan D, ECOLOGY SOC UNPUB
   Nelson N., 1995, Power and Participatory Development: Theory and Practice, DOI DOI 10.3362/9781780445649.000
   Nygren A, 1999, CRIT ANTHROPOL, V19, P267, DOI 10.1177/0308275X9901900304
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Prell C, 2007, INTERDISCIPL SCI REV, V32, P263, DOI 10.1179/030801807X211720
   Prell C, 2008, SYST PRACT ACT RES, V21, P443, DOI 10.1007/s11213-008-9105-9
   Ramos JM, 2006, FUTURES, V38, P642, DOI 10.1016/j.futures.2005.10.008
   RAVERA F, 2009, REV IBEROAMERICANA E, V13, P79
   Ravera F, 2011, ECOL SOC, V16
   Ravetz Jerome., 2003, PUBLIC PARTICIPATION
   Reed MS, 2010, ECOL SOC, V15
   Reed MS, 2009, J ENVIRON MANAGE, V90, P1933, DOI 10.1016/j.jenvman.2009.01.001
   Stringer LC, 2006, ECOL SOC, V11
   van den Belt M., 2004, Mediated modelling - A system dynamics approach to environmental consensus building
   van Notten PWF, 2005, TECHNOL FORECAST SOC, V72, P175, DOI 10.1016/j.techfore.2003.12.003
   Wollenberg E, 2000, LANDSCAPE URBAN PLAN, V47, P65, DOI 10.1016/S0169-2046(99)00071-7
NR 37
TC 36
Z9 38
U1 1
U2 38
PU WILEY PERIODICALS, INC
PI SAN FRANCISCO
PA ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, CA 94104 USA
SN 1756-932X
EI 1756-9338
J9 ENVIRON POLICY GOV
JI Environ. Policy Gov.
PD NOV-DEC
PY 2011
VL 21
IS 6
SI SI
BP 433
EP 453
DI 10.1002/eet.585
PG 21
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 886TS
UT WOS:000299877400005
DA 2025-01-10
ER

PT J
AU Owuor, B
   Mauta, W
   Eriksen, S
AF Owuor, Bernard
   Mauta, Wycliffe
   Eriksen, Siri
TI Sustainable adaptation and human security: Interactions between pastoral
   and agropastoral groups in dryland Kenya
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE adaptation; climate change; conflict; drylands; Kenya; pastoralism;
   sustainability
ID CLIMATE-CHANGE; VARIABILITY; STRESSORS; CONFLICT
AB This article investigates how pastoral and agropastoral populations interact in adapting to climate variability and change, particularly to drought. Interactions within trade, livestock and human mobility, and accessing forest resources are critical to local adaptive capacity in Kenya's drylands. Qualitative interview data collected between 2004 and 2007 in Endau, eastern Kenya, are analysed to explore the role of these interactions in sustainable adaptation, and how they have been affected by formal policies and informal governance. The article also explores how politics, decision making and conflicts interact in practice to shape decision making, and how dominant state orientation may facilitate or constrain sustainable adaptation. We conclude that both official policy and state practice in terms of actual decision making (whether in line with policy and legal frameworks or not) appear to undermine human security in terms of political and social rights, as well as sustainable adaptation in terms of social equity and environmental integrity. Sustainable adaptation for the case of Endau would imply a fundamental change in governance regime from one of imposing punitive measures to stop dynamic interactions to one through which, instead, interactions between the various groups are strengthened.
C1 [Owuor, Bernard] Kenya Forestry Res Inst, Malindi, Kenya.
   [Mauta, Wycliffe] Kenya Forestry Res Inst, Nairobi, Kenya.
   [Eriksen, Siri] Norwegian Univ Life Sci, Dept Int Environm & Dev Studies Noragr, NO-1432 As, Norway.
C3 Norwegian University of Life Sciences
RP Owuor, B (corresponding author), Kenya Forestry Res Inst, POB 1078-80200, Malindi, Kenya.
EM benodit912@gmail.com
CR [Anonymous], THESIS U OSLO
   [Anonymous], ERDE
   [Anonymous], NOM PEOPLES
   Benjaminsen TA, 2008, J PEACE RES, V45, P819, DOI 10.1177/0022343308096158
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   ERIKSEN S, 2006, PUTTING PEOPLE BACK, P187
   Eriksen S., 2011, CLIMATE DEV, V3
   Eriksen S, 2009, ENVIRON MANAGE, V43, P817, DOI 10.1007/s00267-008-9189-0
   Gachathi FNM, 1996, BIODIVERSITY OF AFRICAN PLANTS, P313
   *GOV KEN, 1999, POP CENS
   Heald S, 1999, AFRICA, V69, P213, DOI 10.2307/1161023
   Kemp R., 2005, INT J SUSTAINABLE DE, V8, P12, DOI [10.1504/IJSD.2005.007372, DOI 10.1504/IJSD.2005.007372]
   KORIR MK, 1991, GAINING GROUND I INN
   MCSHERRY B, 2007, 0408 IGAD LPI
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   Morton J., 2005, LEGISLATORS LIVESTOC
   O'Brien K, 2006, GLOBAL ENVIRON CHANG, V16, P1, DOI 10.1016/j.gloenvcha.2005.11.002
   Owuor B, 2005, MT RES DEV, V25, P310, DOI 10.1659/0276-4741(2005)025[0310:ATCCIA]2.0.CO;2
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Pouliotte J, 2009, CLIM DEV, V1, P31, DOI 10.3763/cdev.2009.0001
   Reid P, 2006, GLOBAL ENVIRON CHANG, V16, P195, DOI 10.1016/j.gloenvcha.2006.01.003
   Republic of Kenya, 2003, GEOGR DIM WELL BEING, VI
   [Schubert R. German Advisory Council on Global Change German Advisory Council on Global Change], 2008, Climate Change as a Security Risk
   Scoones I., 1995, Living with Uncertainty: New Directions in Pastoral Development in Africa
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Thébaud B, 2001, GLOBAL ENVIRON CHANG, V11, P69, DOI 10.1016/S0959-3780(00)00046-7
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Tschakert P, 2007, GLOBAL ENVIRON CHANG, V17, P381, DOI 10.1016/j.gloenvcha.2006.11.008
   Twyman C, 2004, GEOFORUM, V35, P69, DOI 10.1016/S0016-7185(03)00030-7
   Ziervogel G, 2006, NAT RESOUR FORUM, V30, P294, DOI 10.1111/j.1477-8947.2006.00121.x
NR 30
TC 12
Z9 12
U1 1
U2 28
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 2011
VL 3
IS 1
SI SI
BP 42
EP 58
DI 10.3763/cdev.2010.0063
PG 17
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 758QZ
UT WOS:000290181400005
DA 2025-01-10
ER

PT J
AU Campos, GR
   Prado, M
   Borges, KLR
   Yassue, RM
   Sabadin, F
   da Silva, AV
   Barbosa, CMD
   Sposito, MB
   Amorim, L
   Fritsche-Neto, R
AF Campos, Gabriela Romero
   Prado, Melina
   Reis Borges, Karina Lima
   Yassue, Rafael Massahiro
   Sabadin, Felipe
   da Silva, Allison Vieira
   de Alcantara Barbosa, Caio Morais
   Sposito, Marcel Bellato
   Amorim, Lilian
   Fritsche-Neto, Roberto
TI Construction and genetic characterization of an interspecific raspberry
   hybrids panel aiming resistance to late leaf rust and adaptation to
   tropical regions
SO SCIENTIFIC REPORTS
LA English
DT Article
ID RUBUS; DIVERSITY; GENOME; IDAEUS
AB Raspberries (Rubus spp) are temperate climate fruits with profitable high returns and have the potential for diversification of fruit growing in mid to low-latitude regions. However, there are still no cultivars adapted to climatic conditions and high pressure of diseases that occurs in tropical areas. In this context, our objective was to evaluate the genetic diversity from a 116 raspberry genotypes panel obtained from interspecific crosses in a testcross scheme with four cultivars already introduced in Brazil. The panel was genotyped via genotyping-by-sequencing. 28,373 and 27,281 SNPs were obtained, using the species R. occidentalis and R. idaeus genomes as references, respectively. A third marker dataset was constructed consisting of 41,292 non-coincident markers. Overall, there were no differences in the results when using the different marker sets for the subsequent analyses. The mean heterozygosity was 0.54. The average effective population size was 174, indicating great genetic variability. The other analyses revealed that the half-sibling families were structured in three groups. It is concluded that the studied panel has great potential for breeding and further genetic studies. Moreover, only one of the three marker matrices is sufficient for diversity studies.
C1 [Campos, Gabriela Romero; Prado, Melina; Yassue, Rafael Massahiro; Sabadin, Felipe; da Silva, Allison Vieira; de Alcantara Barbosa, Caio Morais; Sposito, Marcel Bellato; Amorim, Lilian; Fritsche-Neto, Roberto] Univ Sao Paulo, Luiz de Queiroz Coll Agr, Sao Paulo, Brazil.
   [Reis Borges, Karina Lima; Fritsche-Neto, Roberto] Louisiana State Univ AgCtr, Rice Res Stn, Baton Rouge, LA USA.
   [Sabadin, Felipe] Virginia Tech, Sch Plant & Environm Sci, Blacksburg, VA USA.
C3 Universidade de Sao Paulo; Louisiana State University System; Louisiana
   State University; Virginia Polytechnic Institute & State University
RP Campos, GR (corresponding author), Univ Sao Paulo, Luiz de Queiroz Coll Agr, Sao Paulo, Brazil.
EM campos.gab@usp.br
RI Prado, Melina/KZU-6187-2024; Spósito, Marcel/B-8334-2012; Lima Reis
   Borges, Karina/IZE-2825-2023; Yassue, Rafael Massahiro/GRE-6196-2022;
   Amorim, Lilian/C-2782-2012; Fritsche-Neto, Roberto/B-2256-2013
OI Prado, Melina/0000-0001-5926-1617; Vieira da Silva,
   Allison/0000-0001-6686-1768; Fritsche-Neto, Roberto/0000-0003-4310-0047
FU Fapesp [19/13191-5]
FX Fapesp (19/13191-5).
CR Benesty J., 2009, Dictionary of pharmaceutical medicine, P1, DOI [10.1007/978-3-642-00296-05, DOI 10.1007/978-3-642-00296-05]
   Bhadauria V, 2013, BMC GENET, V14, DOI 10.1186/1471-2156-14-31
   Bhandari H.R., 2017, Adv. Plants Agric. Res, V7, P00255, DOI [DOI 10.15406/APAR.2017.07.00255, 10.15406/apar.2017.07.00255]
   Caminiti A., 2016, Tecnicas de Producao de Framboesa e Mirtilo, P11
   Castillo NRF, 2010, J AM SOC HORTIC SCI, V135, P271, DOI 10.21273/JASHS.135.3.271
   Dolan A., 2018, RASPBERRY BREEDING C, P41, DOI [10.1007/978-3-319-99031-6, DOI 10.1007/978-3-319-99031-6]
   Dossett M, 2012, GENET RESOUR CROP EV, V59, P1849, DOI 10.1007/s10722-012-9808-8
   Elshire RJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019379
   FAOSTAT, 2021, Crops, rendimento e producao nos principais paises produtores de framboesa
   Foster TM, 2019, HORTIC RES-ENGLAND, V6, DOI 10.1038/s41438-019-0199-2
   Funt R.C., 2013, Raspberries
   Glaubitz JC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090346
   Graham J., 2018, Raspberry breeding, challenges and advances, P1
   Granato I., 2018, Package 'snpReady'
   Hu Y., 2021, Package 'OmicCircos'
   Hummer K, 2013, CROP PROD SCI HORTIC, V23, P1, DOI 10.1079/9781845937911.0001
   Jamieson AR, 1999, ACTA HORTIC, P53, DOI 10.17660/ActaHortic.1999.505.5
   Jennings DL, 1988, Raspberries and Blackberries: Their Breeding. Diseases and Growth
   Jombart T., 2009, Package 'adegenet'
   Jombart T, 2010, BMC GENET, V11, DOI 10.1186/1471-2156-11-94
   KEEP E, 1968, CAN J GENET CYTOL, V10, P253, DOI 10.1139/g68-037
   Khadgi A, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11010027
   Knight V. H., 2014, Rubus breeding worldwide and the raspberry breeding programme at Horticultural Research International
   Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
   Lebedev VG, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9090518
   LEWIS D., 1958, HEREDITY, V12, P233, DOI 10.1038/hdy.1958.26
   Lucero X, 2008, PLANT DIS, V92, P653, DOI 10.1094/PDIS-92-4-0653B
   Meuwissen THE, 2001, GENETICS, V157, P1819
   Oliveira M. E., 2017, Framboeseira: Cultivo e PosColheita na Regiao Serrana do Espirito Santo
   Pinczinger D, 2021, SCI HORTIC-AMSTERDAM, V288, DOI 10.1016/j.scienta.2021.110384
   Poland JA, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032253
   Raseira M. D. C. B., 2004, Embrapa, V24
   VanBuren R, 2016, PLANT J, V87, P535, DOI 10.1111/tpj.13215
   VanRaden PM, 2008, J DAIRY SCI, V91, P4414, DOI 10.3168/jds.2007-0980
   Villanueva B, 2021, GENET SEL EVOL, V53, DOI 10.1186/s12711-021-00635-0
   Weber CA, 2003, HORTSCIENCE, V38, P269, DOI 10.21273/HORTSCI.38.2.269
   Wight H., 2019, bioRxiv, DOI DOI 10.1101/546135
   Willing EM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042649
   Zahid G, 2022, MOL BIOL REP, V49, P5341, DOI 10.1007/s11033-021-07055-9
NR 39
TC 3
Z9 3
U1 1
U2 3
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD SEP 14
PY 2023
VL 13
IS 1
AR 15216
DI 10.1038/s41598-023-41728-8
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA LS8D1
UT WOS:001188873800001
PM 37709795
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU King, AD
   Harrington, LJ
   Hawkins, E
   Paik, S
   Lieber, R
   Min, SK
   Borowiak, AR
AF King, Andrew D.
   Harrington, Luke J.
   Hawkins, Ed
   Paik, Seungmok
   Lieber, Ruby
   Min, Seung-Ki
   Borowiak, Alexander R.
TI Emergence of multivariate climate change signals
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE climate change emergence; observations; principal component analysis;
   climate extremes
ID EXTREMES; IMPACTS; HEAT
AB The emergence of a climate change signal relative to background variability is a useful metric for understanding local changes and their consequences. Studies have identified emergent signals of climate change, particularly in temperature-based indices with weaker signals found for precipitation metrics. In this study, we adapt climate analogue methods to examine multivariate climate change emergence over the historical period. We use seasonal temperature and precipitation observations and apply a sigma dissimilarity method to demonstrate that large local climate changes may already be identified, particularly in low-latitude regions. The multivariate methodology brings forward the time of emergence by several decades in many areas relative to analysing temperature in isolation. We observed particularly large departures from an early-20th century climate in years when the global warming signal is compounded by an El Ni & ntilde;o-influence. The latitudinal dependence in the emergent climate change signal means that lower-income nations have experienced earlier and stronger emergent climate change signals than the wealthiest regions. Analysis based on temperature and precipitation extreme indices finds weaker signals and less evidence of emergence but is hampered by lack of long-running observations in equatorial areas. The framework developed here may be extended to attribution and projections analyses.
C1 [King, Andrew D.; Lieber, Ruby; Borowiak, Alexander R.] Univ Melbourne, Sch Geog Earth & Atmospher Sci, Melbourne, Vic, Australia.
   [King, Andrew D.] ARC Ctr Excellence 21st Century Weather, Melbourne, Vic, Australia.
   [Harrington, Luke J.] Univ Waikato, Te Aka Matuatua Sch Sci, Hamilton, New Zealand.
   [Hawkins, Ed] Univ Reading, Natl Ctr Atmospher Sci, Dept Meteorol, Reading, England.
   [Paik, Seungmok] Yonsei Univ, Irreversible Climate Change Res Ctr, Seoul, South Korea.
   [Lieber, Ruby; Borowiak, Alexander R.] ARC Ctr Excellence Climate Extremes, Melbourne, Vic, Australia.
   [Min, Seung-Ki] Pohang Univ Sci & Technol, Div Environm Sci & Engn, Pohang, South Korea.
C3 University of Melbourne; University of Waikato; University of Reading;
   UK Research & Innovation (UKRI); Natural Environment Research Council
   (NERC); NERC National Centre for Atmospheric Science; Yonsei University;
   Pohang University of Science & Technology (POSTECH)
RP King, AD (corresponding author), Univ Melbourne, Sch Geog Earth & Atmospher Sci, Melbourne, Vic, Australia.; King, AD (corresponding author), ARC Ctr Excellence 21st Century Weather, Melbourne, Vic, Australia.
EM andrew.king@unimelb.edu.au
RI Min, Seung-Ki/B-1431-2010; Borowiak, Alex/ACM-3306-2022; King,
   Andrew/AFK-4420-2022; Hawkins, Ed/B-7921-2011
OI Borowiak, Alex/0000-0002-0499-7800; Lieber, Ruby/0000-0003-3196-3080;
   Paik, Seungmok/0000-0003-3655-4227; Harrington, Luke
   James/0000-0002-1699-6119; Hawkins, Ed/0000-0001-9477-3677; King,
   Andrew/0000-0001-9006-5745
FU Australian Research Councilhttp://dx.doi.org/10.13039/501100000923
   [CE230100012]; ARC Centre of Excellence for 21st Century Weather;
   Australian Government through the National Environmental Science Program
   [RTVU1906]; New Zealand Ministry for Business, Innovation & Employment's
   Endeavour Fund Whakahura programme [NRF-2018R1A5A1024958,
   NRF-2021R1C1C2094185]; National Research Foundation of Korea (NRF) -
   Korean government (MSIT); Australian Research Council [CE230100012]
   Funding Source: Australian Research Council
FX A D K received funding from the ARC Centre of Excellence for 21st
   Century Weather (CE230100012) and the Australian Government through the
   National Environmental Science Program. L J H acknowledges funding from
   the New Zealand Ministry for Business, Innovation & Employment's
   Endeavour Fund Whakahura programme (Grant ID: RTVU1906). S P and S K M
   receive funding from the National Research Foundation of Korea (NRF)
   Grant funded by the Korean government (MSIT) (NRF-2018R1A5A1024958,
   NRF-2021R1C1C2094185).
CR Abatzoglou JT, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-60270-5
   Beaumont LJ, 2011, P NATL ACAD SCI USA, V108, P2306, DOI 10.1073/pnas.1007217108
   CIESIN, 2018, Gridded Population of the World, Version 4 (GPWv4): Population count, Revision 11
   Compo GP, 2011, Q J ROY METEOR SOC, V137, P1, DOI 10.1002/qj.776
   Cowan T, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16676-w
   Deutsch CA, 2008, P NATL ACAD SCI USA, V105, P6668, DOI 10.1073/pnas.0709472105
   Diffenbaugh NS, 2011, CLIMATIC CHANGE, V107, P615, DOI 10.1007/s10584-011-0112-y
   Donat MG, 2016, CLIM DYNAM, V46, P413, DOI 10.1007/s00382-015-2590-5
   Dunn RJH, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2019JD032263
   Easterling DR, 2016, WEATHER CLIM EXTREME, V11, P17, DOI 10.1016/j.wace.2016.01.001
   Fitzpatrick MC, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08540-3
   Frame D, 2017, NAT CLIM CHANGE, V7, P407, DOI [10.1038/NCLIMATE3297, 10.1038/nclimate3297]
   Harrington LJ, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/055007
   Haustein K, 2019, J CLIMATE, V32, P4893, DOI 10.1175/JCLI-D-18-0555.1
   Hawkins E, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL086259
   Hawkins E, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2011GL050087
   Hawkins E, 2014, NATURE, V511, pE3, DOI 10.1038/nature13523
   King AD, 2023, ENVIRON RES-CLIM, V2, DOI 10.1088/2752-5295/aceff2
   King AD, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acc2d4
   King AD, 2018, GEOPHYS RES LETT, V45, P5030, DOI 10.1029/2018GL078430
   King AD, 2016, GEOPHYS RES LETT, V43, P3438, DOI 10.1002/2015GL067448
   King AD, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/9/094015
   Lee H., 2023, Intergovernmental Panel on Climate Change
   Lieber R, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL100553
   Mahalanobis PC, 2018, SANKHYA SER A, V80, P1, DOI 10.1007/s13171-019-00164-5
   Mahlstein I, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034009
   Mahlstein I, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053952
   Mahony CR, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03132-z
   Mahony CR, 2017, GLOBAL CHANGE BIOL, V23, P3934, DOI 10.1111/gcb.13645
   Mann ME, 1996, CLIMATIC CHANGE, V33, P409, DOI 10.1007/BF00142586
   [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]
   Paik S, 2024, ENVIRON RES LETT, V19, DOI 10.1088/1748-9326/ad32e9
   Paik S, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL086875
   Povak NA, 2024, FRONT FOR GLOB CHANG, V6, DOI 10.3389/ffgc.2023.1286980
   Rayner NA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002670
   Rohde Robert., 2013, Geoinfor. Geostat.: An Overview, V1, P1, DOI [DOI 10.4172/2327-4581.1000103, 10.4172/2327-4581.1000103]
   Rohde RA, 2020, EARTH SYST SCI DATA, V12, P3469, DOI 10.5194/essd-12-3469-2020
   Schneider U, 2014, THEOR APPL CLIMATOL, V115, P15, DOI 10.1007/s00704-013-0860-x
   Slivinski LC, 2019, Q J ROY METEOR SOC, V145, P2876, DOI 10.1002/qj.3598
   Veloz S, 2012, CLIMATIC CHANGE, V112, P1037, DOI 10.1007/s10584-011-0261-z
   Williams JW, 2007, P NATL ACAD SCI USA, V104, P5738, DOI 10.1073/pnas.0606292104
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 42
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 SEP 1
PY 2024
VL 19
IS 9
AR 094018
DI 10.1088/1748-9326/ad677f
PG 11
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA C4G0K
UT WOS:001288947600001
OA gold
DA 2025-01-10
ER

PT J
AU Min, YH
   Lee, HW
AF Min, Yohan
   Lee, Hyun Woo
TI Quantifying clean energy justice: Impact of Solarize programs on rooftop
   solar disparities in the Pacific Northwest
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Distributed energy resource; Spatial justice; Resilient city; Climate
   adaptation; Energy transition; Energy equity
ID PHOTOVOLTAIC SYSTEMS; UNITED-STATES; ADOPTION; TECHNOLOGY; RESILIENCE
AB This study investigates the dynamics of rooftop solar deployment disparities in relation to Solarize programs in metropolitan cities in the Pacific Northwest. We introduce four equity domains and five disparity indices that encompass aspects of distributional and recognition justice, placing emphasis on spatial distribution and deployment patterns. We find that Solarize programs have a discernible impact on spatial and Gini disparities, with these disparities intensifying as installations increase. However, while spatial disparities rise with cumulative installations, Gini disparities consistently decrease over time. Interestingly, less advantageous communities exhibit heightened Gini disparities with cumulative installations, underscoring the need to focus on these communities. Additionally, communities with higher socioeconomic and demographic attributes exhibit more prominent Gini disparities, emphasizing the role of these attributes in shaping deployment disparities. Our results underscore the importance of considering spatial clustering tendencies in Solarize program advocacy and emphasize the pivotal role of community characteristics in rooftop solar deployment disparities. This study addresses energy equity trends with a unique focus on spatiotemporal dimensions, Solarize programs, and their impact on deployment disparities, offering valuable insights for policymakers and urban planners striving for socially and physically resilient cities.
C1 [Min, Yohan; Lee, Hyun Woo] Univ Washington, Coll Built Environm, Seattle, WA 98195 USA.
   [Min, Yohan] Dartmouth Coll, Thayer Sch Engn, Hanover, NH 03755 USA.
C3 University of Washington; University of Washington Seattle; Dartmouth
   College
RP Min, YH (corresponding author), Univ Washington, Coll Built Environm, Seattle, WA 98195 USA.; Min, YH (corresponding author), Dartmouth Coll, Thayer Sch Engn, Hanover, NH 03755 USA.
EM yohan.min@dartmouth.edu
RI Min, Yohan/HTM-7844-2023
OI Lee, Hyun Woo/0000-0003-1994-2850; Min, Yohan/0000-0002-8001-4124
CR Ajaz W, 2019, ENERGY RES SOC SCI, V49, P26, DOI 10.1016/j.erss.2018.10.027
   Augustine Paul, 2016, Electricity Journal, V29, P36, DOI 10.1016/j.tej.2016.04.006
   Awad H, 2018, SUSTAIN CITIES SOC, V43, P221, DOI 10.1016/j.scs.2018.08.029
   Aylett A, 2013, ENVIRON PLANN C, V31, P858, DOI 10.1068/c11304
   Bai B, 2021, J CLEAN PROD, V284, DOI 10.1016/j.jclepro.2020.124684
   Best R, 2022, APPL ENERG, V309, DOI 10.1016/j.apenergy.2021.118451
   Bollinger B., Working paper
   Bouzarovski S, 2017, ENERG POLICY, V107, P640, DOI 10.1016/j.enpol.2017.03.064
   Brockway A., 2018, The Electricity Journal, V31, P44, DOI [10.1016/j.tej.2018.10.012, DOI 10.1016/J.TEJ.2018.10.012]
   Brown A. C., 2016, The Electricity Journal, V29, P27, DOI 10.1016/j.tej.2016.10.009
   Brown Hillary., 2014, NEXT GENERATION INFR
   Brown M A., 2020, ORNLTM20191150, DOI [10.2172/1607178, DOI 10.2172/1607178]
   Brudermann T, 2013, ENERG POLICY, V61, P96, DOI 10.1016/j.enpol.2013.06.081
   California Energy Commission, Energy equity indicators
   Cauvain J., 2016, People Place Policy Online, V10, P88, DOI [10.3351/ppp.0010.0001.0007, DOI 10.3351/PPP.0010.0001.0007]
   Ceriani L, 2012, J ECON INEQUAL, V10, P421, DOI 10.1007/s10888-011-9188-x
   City of Bellevue, Permits. City of Bellevue Open Data portal
   City of Seattle, Electrical permits
   Clean Energy and Pollution Reduction Act, 2015, Senate Bill No. 350
   Coleman N, 2023, SUSTAIN CITIES SOC, V92, DOI 10.1016/j.scs.2023.104491
   Cook J.J., 2018, NREL/TP-6A20-70965), DOI [10.2172/1431421, DOI 10.2172/1431421]
   Curtius HC, 2018, ENERG POLICY, V118, P596, DOI 10.1016/j.enpol.2018.04.005
   Darghouth N., 2017, United States, DOI [10.2172/1393636, DOI 10.2172/1393636]
   Dastrup SR, 2012, EUR ECON REV, V56, P961, DOI 10.1016/j.euroecorev.2012.02.006
   Davidson C, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/7/074009
   Drury E, 2012, ENERG POLICY, V42, P681, DOI 10.1016/j.enpol.2011.12.047
   Energy.gov, 2022, Community solar basics
   Energy.gov, 2022, Biden-Harris administration launches $1 Billion bipartisan infrastructure law program to enhance energy systems in rural and remote communities
   Feldman D., 2015, United States, DOI [10.2172/1227801, DOI 10.2172/1227801]
   Fortier MOP, 2019, APPL ENERG, V236, P211, DOI 10.1016/j.apenergy.2018.11.022
   Fuller S, 2016, ENERGY RES SOC SCI, V11, P1, DOI 10.1016/j.erss.2015.08.004
   Getis A, 2004, GEOGR ANAL, V36, P90, DOI 10.1353/geo.2004.0002
   Guta DD, 2018, J CLEAN PROD, V204, P193, DOI 10.1016/j.jclepro.2018.09.016
   Heffron RJ, 2018, APPL ENERG, V229, P1191, DOI 10.1016/j.apenergy.2018.08.073
   Jenkins K, 2016, ENERGY RES SOC SCI, V11, P174, DOI 10.1016/j.erss.2015.10.004
   Keirstead J, 2007, ENERG POLICY, V35, P4128, DOI 10.1016/j.enpol.2007.02.019
   Khatibi M, 2019, 2019 IEEE CONFERENCE ON POWER ELECTRONICS AND RENEWABLE ENERGY (IEEE CPERE), P258, DOI [10.1109/CPERE45374.2019.8980107, 10.1109/cpere45374.2019.8980107]
   Lan HF, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101942
   Lin YL, 2016, ENRGY PROCED, V103, P171, DOI 10.1016/j.egypro.2016.11.268
   Los Angeles Department of Wather & Power, Equity metrics data initiative
   Min YH, 2023, ENERGY RES SOC SCI, V105, DOI 10.1016/j.erss.2023.103292
   Min YH, 2023, ENERGY RES SOC SCI, V96, DOI 10.1016/j.erss.2022.102931
   Min Y, 2023, J CLEAN PROD, V393, DOI 10.1016/j.jclepro.2023.135949
   MORAN PAP, 1948, J ROY STAT SOC B, V10, P243
   Morris J, 2014, 2014 IEEE 40TH PHOTOVOLTAIC SPECIALIST CONFERENCE (PVSC), P3356, DOI 10.1109/PVSC.2014.6925654
   Müller S, 2013, ECON INNOV NEW TECH, V22, P519, DOI 10.1080/10438599.2013.804333
   National Equity Atlas, 2022, Indicators
   Nowotny J, 2018, RENEW SUST ENERG REV, V81, P2541, DOI 10.1016/j.rser.2017.06.060
   NREL.gov, 2021, Solar Energy Innovation Network
   O'Shaughnessy E, 2019, ENERG POLICY, V132, P1110, DOI 10.1016/j.enpol.2019.07.001
   Ourahou M, 2020, MATH COMPUT SIMULAT, V167, P19, DOI 10.1016/j.matcom.2018.11.009
   Peragine V., 2004, The Journal of Economic Inequality, V2, P11
   PortlandMaps, PortlandMaps: Advanced
   Poruschi L, 2019, ENERGY RES SOC SCI, V48, P22, DOI 10.1016/j.erss.2018.09.008
   Rangu SK, 2020, INT J ENERG RES, V44, P9889, DOI 10.1002/er.5649
   Ribeiro D., 2020, The 2020 city clean energy scorecard, P249
   Rode J, 2016, J ENVIRON ECON MANAG, V78, P38, DOI 10.1016/j.jeem.2016.02.001
   Sambandam R, 2003, MARK RES, V15, P16
   Scavo J., 2016, Low-income barriers study, part A: Overcoming barriers to energy efficiency and renewables for lowincome customers and small business contracting opportunities in disadvantaged communities, P151
   Schaffer AJ, 2015, ENERGY RES SOC SCI, V10, P220, DOI 10.1016/j.erss.2015.06.010
   Seel J, 2014, ENERG POLICY, V69, P216, DOI 10.1016/j.enpol.2014.02.022
   Snape J. R., 2013, ECEEE, P93
   Solar Oregon, Solarize projects
   Solarize Northwest, Past Campaigns
   Solarize Northwest, Solarize bellevue
   SolSmart.org, 2021, Introducing SolSmart
   Sun T, 2022, APPL ENERG, V315, DOI 10.1016/j.apenergy.2022.119025
   Sunter DA, 2019, NAT SUSTAIN, V2, P71, DOI 10.1038/s41893-018-0204-z
   U.S. Census Bureau, 2015 2019 AM COMM SU
   Vaughn BK, 2008, J EDUC MEAS, V45, P94, DOI 10.1111/j.1745-3984.2007.00053_2.x
   Venables WN., 2002, Modern Applied Statistics with S, V4, DOI [10.1007/978-0-387-21706-2, DOI 10.1007/978-0-387-21706-2]
   Welton S, 2019, HARVARD ENVIRON LAW, V43, P307
   Young S., 2021, PATH ACHIEVING JUSTI
   Zahran S, 2008, J AM PLANN ASSOC, V74, P419, DOI 10.1080/01944360802310594
NR 74
TC 1
Z9 1
U1 2
U2 12
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 MAY
PY 2024
VL 104
AR 105287
DI 10.1016/j.scs.2024.105287
EA FEB 2024
PG 18
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 NJ9T3
UT WOS:001200210700001
DA 2025-01-10
ER

PT J
AU Howard, SC
   Sherren, K
AF Howard, Samantha C. C.
   Sherren, Kate
TI Flood risk mapping in southwestern Nova Scotia: Perceptions and concerns
SO CANADIAN GEOGRAPHIES-GEOGRAPHIES CANADIENNES
LA English
DT Article
DE climax thinking; coastal climate adaptations; flood risk mapping;
   nature-based solutions; public perceptions
AB Flood risk mapping allows for informed decision making regarding personal and community planning. Resistance to flood risk mapping can be driven by potential decline of property values. This paper explores resistance to flood risk mapping through the lens of climax thinking. Climax thinking is a novel theory guiding explorations of resistance to proposed land use changes. The aim of this study was to understand flood experiences, the presence of resistance to flood risk mapping, and whether climax thinking could help explain this resistance. To address this, surveys were administered to residents in the Nova Scotian towns of Liverpool and Bridgewater. We found that one third of respondents have experienced flooding, yet the majority have not seen a flood risk map, nor were they concerned about the potential impacts of flooding. Only one sixth of respondents exhibited resistance to flood risk mapping because of potential loss to property value. Dimensions of climax thinking were predictive of this resistance, specifically ignorance of an individual's own ability to adapt and inability to recognize the impact of their adaptation decisions on others, which together quadrupled the predictive power of the ordinal regression model. These insights can be applied to support the acceptance of flood risk mapping.
C1 [Howard, Samantha C. C.] Dalhousie Univ, Dept Earth & Environm Sci, Halifax, NS, Canada.
   [Howard, Samantha C. C.; Sherren, Kate] Dalhousie Univ, Sch Resource & Environm Studies, Kenneth C Rowe Management Bldg,6100 Univ Ave,Suite, Halifax, NS B3H 4R2, Canada.
C3 Dalhousie University; Dalhousie University
RP Howard, SC (corresponding author), Dalhousie Univ, Sch Resource & Environm Studies, Kenneth C Rowe Management Bldg,6100 Univ Ave,Suite, Halifax, NS B3H 4R2, Canada.
EM Samantha.howard@dal.ca
OI Sherren, Kate/0000-0003-1576-9878; Howard, Samantha/0000-0003-4539-224X
FU Social Sciences and Humanities Research Council of Canada
   [435-2021-0221]; Dalhousie University
FX Social Sciences and Humanities Research Council of Canada, Grant/Award
   Number: 435-2021-0221; Dalhousie University, Grant/Award Number:
   SSHRCExploreGrant
CR Altman Irwin., 1992, Place Attachment
   [Anonymous], 1916, Plant Succession: An Analysis of the Development of Vegetation
   [Anonymous], 2019, CBC News
   Badullovich N, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/aba4c7
   Bonsal B., 2019, CHANGES FRESHWATER A
   Bradley S., 2016, CBC 0728
   BUSH E, 2019, CANADAS CHANGING CLI
   Chappell EN, 2021, J ENVIRON POL PLAN, V23, P510, DOI 10.1080/1523908X.2021.1888699
   Chappell EN, 2020, LANDSCAPE URBAN PLAN, V199, DOI 10.1016/j.landurbplan.2020.103802
   Ngo CC, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2022.100409
   Chowdhury P. D., 2011, Journal of Environmental Research and Development, V5, P1017
   Devine-Wright P, 2009, J COMMUNITY APPL SOC, V19, P426, DOI 10.1002/casp.1004
   Di Masso A, 2019, J ENVIRON PSYCHOL, V61, P125, DOI 10.1016/j.jenvp.2019.01.006
   Gliem J.A., 2003, MIDWEST RES TO PRACT
   Greenan B., 2019, CHANGES OCEANS SURRO
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Harlan SL, 2019, ANTHROPOCENE, V28, DOI 10.1016/j.ancene.2019.100217
   Heeringa S.G., 2017, Applied Survey Data Analysis, VSecond, DOI DOI 10.1201/9781315153278
   Henstra D, 2019, NAT HAZARD EARTH SYS, V19, P313, DOI 10.5194/nhess-19-313-2019
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Lalot F., 2022, Psychological Test Adaptation and Development, DOI DOI 10.1027/2698-1866/A000014
   Larter P, 2019, CAN GEOGR-GEOGR CAN, V63, P494, DOI 10.1111/cag.12542
   McNamara KE, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.564
   Moghal Z., 2016, FRONT LINES FLOOD PR
   Newfoundland Environment Climate Change and Municipalities, 2013, FLOOD RISK MAPP STUD
   Quebec Ministere de la Securite publique du Quebec, EM SIT DIS NAT HAZ
   Schmunk R., 2021, CBC 1120
   Schwartz S., 2012, ONLINE READINGS PSYC, V2, DOI [https://doi.org/10.9707/2307-0919.1116, 10.9707/2307-0919.1116, DOI 10.9707/2307-0919.1116]
   Shen JY, 2008, J ENVIRON PSYCHOL, V28, P42, DOI 10.1016/j.jenvp.2007.10.003
   Sherren K, 2022, ENVIRON MANAGE, V70, P475, DOI 10.1007/s00267-022-01676-x
   Sherren K, 2021, SOC NAT RESOUR BOOK, P17
   Statistics Canada, 2021, Statistics Canada Catalogue number 98-316-X2021001
   Stocker, 2014, CLIMATE CHANGE 2013
   Taylor M. R., 2017, J APPL COMMUNICATION, V101, P5, DOI [https://doi.org/10.4148/1051-0834.1843, DOI 10.4148/1051-0834.1843]
   The Canadian Press, 2022, GLOBAL NEWS 0317
   Thistlethwaite J, 2018, ENVIRON MANAGE, V61, P197, DOI 10.1007/s00267-017-0969-2
   Tutton M., 2018, GLOBAL NEWS 0305
   Van Kerkvoorde Maaike, 2018, International Journal of Cartography, V4, P49, DOI 10.1080/23729333.2017.1371411
   Vouk I., 2021, NATURE BASED SOLUTIO
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   Xiao CY, 2012, SOC NATUR RESOUR, V25, P1067, DOI 10.1080/08941920.2011.651191
   Yzaguirre A., 2016, IOP Conference Series: Earth and Environmental Science, V34, DOI 10.1088/1755-1315/34/1/012043
   Zimbardo PG, 1999, J PERS SOC PSYCHOL, V77, P1271, DOI 10.1037/0022-3514.77.6.1271
NR 43
TC 2
Z9 2
U1 5
U2 11
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0008-3658
EI 1541-0064
J9 CAN GEOGR-GEOGR CAN
JI Can. Geogr.-Geogr. Can.
PD DEC
PY 2023
VL 67
IS 4
BP 499
EP 512
DI 10.1111/cag.12836
EA MAR 2023
PG 14
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA AE3J6
UT WOS:000961617700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Welling, M
   Dehnhardt, A
   Ass, SM
AF Welling, Malte
   Dehnhardt, Alexandra
   Ass, Sophie-Marie
TI Does validity matter for policymakers? Evidence from choice experiments
   on urban green
SO JOURNAL OF ENVIRONMENTAL ECONOMICS AND POLICY
LA English
DT Article
DE Climate adaptation; decision-making; economic valuation; nature-based
   solutions; stated preferences; urban ecosystem services
ID ECOSYSTEM SERVICES APPROACH; CONTINGENT VALUATION; ECONOMIC VALUATION;
   DECISION-MAKING; AUSTRALIAN COASTAL; OPPORTUNITIES; CHALLENGES
AB Stated preference methods such as choice experiments are frequently used for the valuation of environmental goods. Studies suggest that the impact of valuation results on policymaking is rare. How the validity of stated preference results is perceived by policymakers may be a neglected barrier to use in policymaking. The study investigates (1) how valuation results are used by policymakers, (2) how policymakers perceive their validity, and (3) how these perceptions matter for the use of the results. We conduct choice experiments on urban green, directly involving local policymakers in the process. The policymakers, who were interviewed later, report frequent informative use of the results. Although concerns regarding validity exist, they are not a major barrier for informative use but maybe for decisive use. Our findings provide new insights on the use of valuation results by policymakers, as our study is the first to focus on stated preference results and on the role of perceived validity and enables an in-depth analysis by interviewing policymakers involved in a transdisciplinary process. We derive recommendations for researchers on how to design and communicate stated preference studies to increase their use in environmental policy-making.
C1 [Welling, Malte; Dehnhardt, Alexandra; Ass, Sophie-Marie] Inst Ecol Econ Res IOW, Berlin, Germany.
   [Welling, Malte] Brandenburg Tech Univ Cottbus, Environm Econ, Cottbus, Germany.
C3 Brandenburg University of Technology Cottbus
RP Welling, M (corresponding author), Brandenburg Tech Univ Cottbus, Environm Econ, Cottbus, Germany.
EM malte.welling@ioew.de
OI Dehnhardt, Alexandra/0000-0003-1371-7142; Welling,
   Malte/0000-0001-9051-6913
FU Bundesministerium fur Bildung und Forschung [FKZ: 01LR1723B, 01 LR2013B,
   FKZ 01UR1621A]
FX This work was supported by Bundesministerium fur Bildung und Forschung
   [grant number BREsilient (FKZ: 01LR1723B, 01 LR2013B), Stadtgrun
   Wertschatzen (FKZ 01UR1621A)].
CR Arrow K., 1993, Federal Register
   Balvanera P., 2022, Methodological Assessment Report on the Diverse Values and Valuation of Nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, DOI [10.5281/zenodo.6522522, DOI 10.5281/ZENODO.6522522]
   Beery T, 2016, ECOSYST SERV, V17, P123, DOI 10.1016/j.ecoser.2015.12.002
   Bergstrom JC, 2017, WATER RESOUR ECON, V17, P9, DOI 10.1016/j.wre.2016.12.001
   Bishop RC, 2019, ENVIRON RESOUR ECON, V72, P559, DOI 10.1007/s10640-017-0215-7
   Bishop RC, 2018, J AGR RESOUR ECON, V43, P307
   Carson RT, 2012, J ECON PERSPECT, V26, P27, DOI 10.1257/jep.26.4.27
   Dehnhardt A, 2013, J ENVIRON ECON POLIC, V2, P201, DOI 10.1080/21606544.2013.766483
   DESVOUSGES WH, 1993, CONTRIB TO ECON ANAL, V220, P91
   Desvousges W, 2012, ECOL ECON, V84, P121, DOI 10.1016/j.ecolecon.2012.10.003
   Forkink A, 2019, J ENVIRON PLANN MAN, V62, P1949, DOI 10.1080/09640568.2018.1523786
   Forkink A, 2017, J ENVIRON PLANN MAN, V60, P2071, DOI 10.1080/09640568.2016.1273098
   Foster H., 2017, CONTINGENT VALUATION, P270, DOI DOI 10.4337/9781786434692.00016
   Gowan C, 2006, ECOL ECON, V56, P508, DOI 10.1016/j.ecolecon.2005.03.018
   Haab TC, 2013, APPL ECON PERSPECT P, V35, P593, DOI 10.1093/aepp/ppt029
   Hanley N, 2019, REV ENV ECON POLICY, V13, P248, DOI 10.1093/reep/rez005
   Hausman, 1996, CONTINGENT VALUATION
   Hausman J, 2012, J ECON PERSPECT, V26, P43, DOI 10.1257/jep.26.4.43
   Hoyos D, 2010, PRAGUE ECON PAP, V19, P329, DOI 10.18267/j.pep.380
   Johnston RJ, 2017, J ASSOC ENVIRON RESO, V4, P319, DOI 10.1086/691697
   Kanninen B, 2007, ECON NON-MARK GOOD, V8, P1, DOI 10.1007/1-4020-5313-4
   Kling CL, 2012, J ECON PERSPECT, V26, P3, DOI 10.1257/jep.26.4.3
   Laurans Y, 2013, J ENVIRON MANAGE, V119, P208, DOI 10.1016/j.jenvman.2013.01.008
   Lindeboom N, 2004, STARCH-STARKE, V56, P89, DOI 10.1002/star.200300218
   Mariel P., 2021, ENV VALUATION DISCRE
   Marre JB, 2016, J ENVIRON MANAGE, V178, P52, DOI 10.1016/j.jenvman.2016.04.014
   Marre JB, 2015, MAR POLICY, V56, P117, DOI 10.1016/j.marpol.2015.02.011
   McFadden D., 2017, Contingent Valuation of Environmental Goods: A Comprehensive Critique
   Messonnier ML, 2000, AM J AGR ECON, V82, P438, DOI 10.1111/0002-9092.00037
   Mouter N, 2017, TRANSPORTATION, V44, P1127, DOI 10.1007/s11116-016-9697-3
   Primmer E, 2018, ECOL ECON, V152, P152, DOI 10.1016/j.ecolecon.2018.05.017
   Rogers AA, 2015, AUST J AGR RESOUR EC, V59, P1, DOI 10.1111/1467-8489.12031
   Stephenson K, 2019, ECOL ECON, V163, P1, DOI 10.1016/j.ecolecon.2019.05.003
   Tinch R, 2019, J ENVIRON ECON POLIC, V8, P359, DOI 10.1080/21606544.2019.1623083
   Vargas A, 2020, ECOL ECON, V178, DOI 10.1016/j.ecolecon.2020.106807
   Waite R, 2015, ECOSYST SERV, V11, P45, DOI 10.1016/j.ecoser.2014.07.010
   Welling M, 2022, ENVIRON RESOUR ECON, V82, P257, DOI 10.1007/s10640-022-00675-0
   WHITEHEAD JC, 1994, LEISURE SCI, V16, P249, DOI 10.1080/01490409409513235
NR 38
TC 1
Z9 1
U1 1
U2 5
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2160-6544
EI 2160-6552
J9 J ENVIRON ECON POLIC
JI J. Environ. Econ. Policy
PD OCT 2
PY 2023
VL 12
IS 4
BP 524
EP 538
DI 10.1080/21606544.2023.2186954
EA MAR 2023
PG 15
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA U8TX6
UT WOS:000949128700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Neset, TS
   Navarra, C
   Graça, M
   Opach, T
   Wilk, J
   Wallin, P
   Andersson, L
   Cruz, SS
   Monteiro, A
   Rod, JK
AF Neset, T-S
   Navarra, C.
   Graca, M.
   Opach, T.
   Wilk, J.
   Wallin, P.
   Andersson, L.
   Cruz, S. Santos
   Monteiro, A.
   Rod, J. K.
TI Navigating urban heat-Assessing the potential of a pedestrian routing
   tool
SO URBAN CLIMATE
LA English
DT Article
DE Climate adaptation; Urban resilience; Heat waves; Thermal comfort;
   Climate change
ID LAND-SURFACE TEMPERATURE; CLIMATE SERVICES; MITIGATION; ADAPTATION;
   STRATEGIES; ISLANDS; HEALTH
AB Cities are experiencing unprecedented climate impacts related to increasing temperatures, which vary within a city due to the heterogenous nature of urban environments. Adapting urban areas to heat requires efforts on multiple levels from urban governance, spatial planning and design to adapting everyday activities. This paper presents the prototype of a pedestrian routing tool to support citizens in navigating urban heat, and the results of tests and interviews with 24 prac-titioners and experts in Portugal and Sweden. The study aims to assess how and to what extent a navigation tool on urban heat could support urban climate risk management, and to evaluate the potential of the tool to support everyday adaptation and increase citizen engagement. We explore what functionality and additional information would be required to make the tool useful and relevant for different user groups. Results indicate that (i) climate services that fit in your pocket increase access to climate information and have potential to guide everyday adaptation practices; and (ii) applications need to be contextualized and tailored to match the needs and decision contexts of the user through integration of relevant information or tools.
C1 [Neset, T-S; Navarra, C.; Wilk, J.] Linkoping Univ, Ctr Climate Sci & Policy Res, Dept Themat Studies Environm Change, S-58183 Linkoping, Sweden.
   [Graca, M.; Cruz, S. Santos] Univ Porto, Fac Engn, Res Ctr Terr Transports & Environm CITTA, P-4200465 Porto, Portugal.
   [Opach, T.; Rod, J. K.] Norwegian Univ Sci & Technol NTNU, Fac Social & Educ Sci, Dept Geog, NO-7491 Trondheim, Norway.
   [Wallin, P.; Andersson, L.] Swedish Meteorol & Hydrol Inst SMHI, S-60176 Norrkoping, Sweden.
   [Monteiro, A.] Univ Porto, Fac Arts, Res Ctr Terr Transports & Environm CITTA, Dept Geog, Porto, Portugal.
C3 Linkoping University; Universidade do Porto; Norwegian University of
   Science & Technology (NTNU); Swedish Meteorological & Hydrological
   Institute; Universidade do Porto
RP Neset, TS (corresponding author), Linkoping Univ, Ctr Climate Sci & Policy Res, Dept Themat Studies Environm Change, S-58183 Linkoping, Sweden.
EM tina.neset@liu.se
RI Cruz, Sara/AAN-2203-2021; Navarra, Carlo/JJC-1654-2023
OI Graca, Marisa/0000-0002-2231-8752; Navarra, Carlo/0000-0001-9892-8875;
   Santos Cruz, Sara/0000-0002-1776-4985; Monteiro, Ana/0000-0002-3392-2664
CR Alves F, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094869
   Alves F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187360
   Amorim JH, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100632
   Amorim JH, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031219
   [Anonymous], 2021, Reconciling India's climate and industrial targets: A policy roadmap
   Ballantyne AG, 2018, ENVIRON COMMUN, V12, P638, DOI 10.1080/17524032.2017.1412997
   Beckmann SK, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17030874
   Bisaro A, 2016, NAT CLIM CHANGE, V6, P354, DOI 10.1038/NCLIMATE2936
   Guy P, 2016, EARTHS FUTURE, V4, P79, DOI 10.1002/2015EF000338
   Bremer S, 2019, CLIM SERV, V13, P42, DOI 10.1016/j.cliser.2019.01.003
   Campbell S, 2018, HEALTH PLACE, V53, P210, DOI 10.1016/j.healthplace.2018.08.017
   Connors JP, 2013, LANDSCAPE ECOL, V28, P271, DOI 10.1007/s10980-012-9833-1
   Cortekar J, 2016, CLIM SERV, V4, P42, DOI 10.1016/j.cliser.2016.11.002
   Deilami K, 2018, INT J APPL EARTH OBS, V67, P30, DOI 10.1016/j.jag.2017.12.009
   Donnelly C, 2018, CLIM SERV, V11, P24, DOI 10.1016/j.cliser.2018.06.002
   Ermida SL, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12091471
   Fuller S, 2013, AREA, V45, P63, DOI 10.1111/j.1475-4762.2012.01105.x
   Gago EJ, 2013, RENEW SUST ENERG REV, V25, P749, DOI 10.1016/j.rser.2013.05.057
   Gavalas D, 2017, PERS UBIQUIT COMPUT, V21, P137, DOI 10.1007/s00779-016-0971-3
   Graça M, 2022, URBAN CLIM, V42, DOI 10.1016/j.uclim.2022.101126
   INE Censo, 2021, INE
   Jacobs KL, 2020, CLIM SERV, V20, DOI 10.1016/j.cliser.2020.100199
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Lourenço TC, 2016, NAT CLIM CHANGE, V6, P13, DOI 10.1038/nclimate2836
   Madureira H, 2021, CLIMATE, V9, DOI 10.3390/cli9030049
   McNie EC, 2013, WEATHER CLIM SOC, V5, P14, DOI 10.1175/WCAS-D-11-00034.1
   Mohajerani A, 2017, J ENVIRON MANAGE, V197, P522, DOI 10.1016/j.jenvman.2017.03.095
   Navarra C, 2021, ENVIRON EARTH SCI, V80, DOI 10.1007/s12665-021-09948-1
   Opach T, 2021, ISPRS INT J GEO-INF, V10, DOI 10.3390/ijgi10060365
   Oppermann E, 2018, WEATHER CLIM SOC, V10, P885, DOI 10.1175/WCAS-D-17-0084.1
   Pioppi B, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100716
   Rod J.K., 2015, GIS VERKTOY FORSTA V
   Rod JK, 2021, URBAN SCI, V5, DOI 10.3390/urbansci5010014
   Russig J., 2017, GI FORUM, V1, P327
   Santos LGR, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100776
   SCB, 2022, STAT FOLKM PER MAN E
   Shaw A, 2009, GLOBAL ENVIRON CHANG, V19, P447, DOI 10.1016/j.gloenvcha.2009.04.002
   Sheng L, 2017, ECOL INDIC, V72, P738, DOI 10.1016/j.ecolind.2016.09.009
   SMHI, 2021, ADV CLIM SCEN SERV S
   Sun RH, 2017, ECOSYST SERV, V23, P38, DOI 10.1016/j.ecoser.2016.11.011
   Vaughan Catherine, 2016, Climate Services, V4, P65, DOI 10.1016/j.cliser.2016.11.004
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Vincent K, 2018, CLIM SERV, V12, P48, DOI 10.1016/j.cliser.2018.11.001
   Zhao L, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00958-8
NR 45
TC 2
Z9 2
U1 3
U2 13
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD DEC
PY 2022
VL 46
AR 101333
DI 10.1016/j.uclim.2022.101333
EA NOV 2022
PG 10
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 6I3AO
UT WOS:000886001400001
OA hybrid, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Hansen, R
   Buizer, M
   Buijs, A
   Pauleit, S
   Mattijssen, T
   Fors, H
   van der Jagt, A
   Kabisch, N
   Cook, M
   Delshammar, T
   Randrup, TB
   Erlwein, S
   Vierikko, K
   Nieminen, H
   Langemeyer, J
   Texereau, CS
   Luz, AC
   Nastran, M
   Olafsson, AS
   Moller, MS
   Haase, D
   Rolf, W
   Ambrose-Oji, B
   Branquinho, C
   Havik, G
   Kronenberg, J
   Konijnendijk, C
AF Hansen, Rieke
   Buizer, Marleen
   Buijs, Arjen
   Pauleit, Stephan
   Mattijssen, Thomas
   Fors, Hanna
   van der Jagt, Alexander
   Kabisch, Nadja
   Cook, Mandy
   Delshammar, Tim
   Randrup, Thomas B.
   Erlwein, Sabrina
   Vierikko, Kati
   Nieminen, Hanna
   Langemeyer, Johannes
   Texereau, Camille Soson
   Luz, Ana Catarina
   Nastran, Mojca
   Olafsson, Anton Stahl
   Moller, Maja Steen
   Haase, Dagmar
   Rolf, Werner
   Ambrose-Oji, Bianca
   Branquinho, Cristina
   Havik, Gilles
   Kronenberg, Jakub
   Konijnendijk, Cecil
TI Transformative or piecemeal? Changes in green space planning and
   governance in eleven European cities
SO EUROPEAN PLANNING STUDIES
LA English
DT Article
DE Co-governance; participation; climate change; sustainability
   transformations; green infrastructure
ID URBAN ECOSYSTEM SERVICES; TRANSITION MANAGEMENT; SUSTAINABILITY;
   INFRASTRUCTURE; INNOVATION; JUSTICE; PATH
AB Green (and blue) spaces receive attention as important components of cities that can help to mitigate the effects of climate change, support biodiversity and improve public health. Green space planning aims to transform cities towards urban sustainability and resilience. In a longitudinal study, representatives from eleven European municipalities that had previously been interviewed in 2014 were re-interviewed in 2020-2021 on changes in urban greening and related practices. The interviewees reported mainly advancements in dealing with ecological issues, such as new plans, strategies, regulations or funding programmes for climate adaptation or biodiversity support, as well as some progress in co-governance with non-governmental stakeholders. Promising developments include breaking professional silos by creating new units that can better deal with complex urban issues. In a few cases, high-level local politicians induced profound changes. These changes stimulated the development of new planning and governance cultures, resulting in more co-creation of urban green spaces. However, from a transformation studies perspective, incremental strategies dominate, and even when municipal representatives are aware that substantive changes are needed, they often lack the means to act. For more radical system change, significant extra efforts are needed.
C1 [Hansen, Rieke] Hsch Geisenheim, Geisenheim, Germany.
   [Buizer, Marleen] Wageningen Univ, Strateg Commun Grp, Wageningen, Netherlands.
   [Buijs, Arjen; van der Jagt, Alexander; Havik, Gilles] Wageningen Univ, Forest & Nat Conservat Policy Grp, Wageningen, Netherlands.
   [Pauleit, Stephan; Erlwein, Sabrina; Rolf, Werner] Tech Univ Munich, Munich, Germany.
   [Mattijssen, Thomas] Wageningen Univ, Econ Res, Wageningen, Netherlands.
   [Fors, Hanna] Swedish Univ Agr Sci, Dept Landscape Architecture Planning & Management, Alnarp Campus, Lomma, Sweden.
   [van der Jagt, Alexander] Heriot Watt Univ, Sch Energy Geosci Infrastruct & Soc, Urban Inst, Edinburgh, Midlothian, Scotland.
   [Kabisch, Nadja] Leibniz Univ Hannover, Inst Phys Geog & Landscape Ecol, Hannover, Germany.
   [Kabisch, Nadja; Haase, Dagmar] Humboldt Univ, Dept Geog, Berlin, Germany.
   [Cook, Mandy; Ambrose-Oji, Bianca] Forest Res Northern Res Stn, Roslin, Midlothian, Scotland.
   [Delshammar, Tim] VA SYD, Malmo, Sweden.
   [Vierikko, Kati; Nieminen, Hanna] Finnish Environm Ctr, Helsinki, Finland.
   [Langemeyer, Johannes; Texereau, Camille Soson] Univ Autonoma Barcelona, Inst Environm Sci & Technol ICTA, Barcelona, Spain.
   [Luz, Ana Catarina] ISEG Lisbon Sch Econ & Management, Lisbon, Portugal.
   [Nastran, Mojca] Univ Ljubljana, Biotech Fac, Dept Forestry & Renewable Forest Resources, Ljubljana, Slovenia.
   [Olafsson, Anton Stahl; Moller, Maja Steen] Univ Copenhagen, Dept Geosci & Nat Resource Management, Sect Landscape Architecture & Planning, Copenhagen, Denmark.
   [Haase, Dagmar] UFZ Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, Leipzig, Germany.
   [Branquinho, Cristina] Univ Lisbon, Fac Ciencias, CE3c Ctr Ecol Evolut & Environm Changes, Lisbon, Portugal.
   [Branquinho, Cristina] Univ Lisbon, Fac Ciencias, CHANGE Global Change & Sustainabil Inst, Lisbon, Portugal.
   [Kronenberg, Jakub] Univ Lodz, Social Ecol Syst Anal Lab, Lodz, Poland.
   [Konijnendijk, Cecil] Nat Based Solut Inst, Barcelona, Spain.
   [Buijs, Arjen] Wageningen Univ, Wageningen Environm Res, Wageningen, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research;
   Technical University of Munich; Wageningen University & Research;
   Swedish University of Agricultural Sciences; Heriot Watt University;
   Leibniz University Hannover; Humboldt University of Berlin; Finnish
   Environment Institute; Autonomous University of Barcelona; University of
   Ljubljana; University of Copenhagen; Helmholtz Association; Helmholtz
   Center for Environmental Research (UFZ); Universidade de Lisboa;
   Universidade de Lisboa; University of Lodz; Wageningen University &
   Research
RP Hansen, R (corresponding author), Hsch Geisenheim Univ, Inst Freiraumentwicklung, DE-65366 Hessen, Germany.
EM rieke.hansen@hs-gm.de
RI Langemeyer, Johannes/AAH-7736-2020; Soson Texereau,
   Camille/JNS-6372-2023; van der Jagt, Alexander/AAW-5556-2021; Kabisch,
   Nadja/ABE-6198-2020; Randrup, Thomas/JCE-0718-2023; Konijnendijk,
   Cecil/AAC-4439-2019; Kronenberg, Jakub/ABD-9941-2021; Nastran,
   Mojca/J-9500-2019; Branquinho, Cristina/B-3670-2008; Buijs,
   Arjen/C-6412-2011; B. Randrup, Thomas/N-1650-2015; Olafsson,
   Anton/D-1002-2015; Rolf, Werner/AAS-2669-2020; Pauleit,
   Stephan/ISV-4685-2023
OI Branquinho, Cristina/0000-0001-8294-7924; Buijs,
   Arjen/0000-0002-1683-6182; Kronenberg, Jakub/0000-0003-4903-2401; B.
   Randrup, Thomas/0000-0003-1368-3915; Buizer,
   Marleen/0000-0001-8015-0380; Langemeyer, Johannes/0000-0002-0558-8486;
   Nieminen, Hanna/0000-0003-1500-3063; Erlwein,
   Sabrina/0000-0002-7599-560X; Fors, Hanna/0000-0002-8600-2271; Hansen,
   Rieke/0000-0002-4230-1579; Nastran, Mojca/0000-0001-6235-7652; Olafsson,
   Anton/0000-0002-7940-8126; van der Jagt, Alexander/0000-0002-1365-5765;
   Rolf, Werner/0000-0001-7040-034X; Pauleit, Stephan/0000-0002-0056-6720;
   Kabisch, Nadja/0000-0002-8925-4423; Steen Moller,
   Maja/0000-0002-9481-6486
FU European Union [FP7-ENV.2013.6.2-5603567]
FX This study did not receive any funding. It builds on research that was
   supported by the European Union's Research and Innovation funding
   programme for 2007-2013 FP 7 (FP7-ENV.2013.6.2-5603567).
CR Abson DJ, 2017, AMBIO, V46, P30, DOI 10.1007/s13280-016-0800-y
   Albrechts L, 2003, J AM PLANN ASSOC, V69, P113, DOI 10.1080/01944360308976301
   Almenar JB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104898
   Anguelovski I., 2018, City, V22, P417, DOI DOI 10.1080/13604813.2018.1473126
   Anguelovski I, 2020, ANN AM ASSOC GEOGR, V110, P1743, DOI 10.1080/24694452.2020.1740579
   [Anonymous], 2017, Urban green spaces: a brief for action
   Arnouts R, 2012, FOREST POLICY ECON, V16, P43, DOI 10.1016/j.forpol.2011.04.001
   Avelino F, 2017, ENVIRON POLICY GOV, V27, P505, DOI 10.1002/eet.1777
   Baro F, 2019, ENVIRON SCI POLICY, V102, P54, DOI 10.1016/j.envsci.2019.08.016
   Boulton C, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102816
   Broto VC, 2019, AMBIO, V48, P449, DOI 10.1007/s13280-018-1086-z
   Buijs A, 2019, URBAN FOR URBAN GREE, V40, P53, DOI 10.1016/j.ufug.2018.06.011
   Buijs AE, 2016, CURR OPIN ENV SUST, V22, P1, DOI 10.1016/j.cosust.2017.01.002
   Buizer I.M., 2015, D6. 1 EU FP7
   Bulkeley, 2020, NATURE BASED SOLUTIO
   Davies C., 2015, Green infrastructure planning and implementation. The status of European green space planning and implementation based on an analysis of selected European city-regions
   Davies C, 2019, LAND USE POLICY, V80, P406, DOI 10.1016/j.landusepol.2018.09.020
   De Luca C, 2021, ECOL SOC, V26, DOI 10.5751/ES-12535-260438
   Dignum M, 2020, ENVIRON INNOV SOC TR, V34, P7, DOI 10.1016/j.eist.2019.11.010
   Dorninger C, 2020, ECOL ECON, V171, DOI 10.1016/j.ecolecon.2019.106570
   Dorst H, 2022, LANDSCAPE URBAN PLAN, V220, DOI 10.1016/j.landurbplan.2021.104335
   Dorst H, 2021, CITIES, V116, DOI 10.1016/j.cities.2021.103283
   EC, 2020, NEW LEIPZ CHART TRAN
   EEA, 2018, EUR URB ATL
   Ehnert F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030612
   EU, 2020, GREEN CIT ACC CLEAN
   EU, 2020, (COM (2020) 380)
   European Commission Directorate-General for Communication, Making our homes and buildings fit for a greener future, DOI [10.2777/244577, DOI 10.2777/244577, 10.2775/25443, DOI 10.2775/25443]
   Eurostat, 2019, CIT STAT POP 1 JAN A
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Frantzeskaki N, 2016, CURR OPIN ENV SUST, V22, P41, DOI 10.1016/j.cosust.2017.04.008
   Fritz M, 2017, THEOR PRACT URB SUST, P291, DOI 10.1007/978-3-319-56091-5_17
   Grin, 2010, TRANSITIONS SUSTAINA, P221, DOI DOI 10.4324/9780203856598
   Hansen Rieke, 2015, Report of case study portraits - APPENDIX - GREEN SURGE study on urban green infrastructure planning and governance in 20 European case studies
   Haxeltine A., 2017, EUR PUBLIC SOC INNOV, V2, P59, DOI [10.31637/epsir.17-1.5, DOI 10.31637/EPSIR.17-1.5]
   Hölscher K, 2019, REG ENVIRON CHANGE, V19, P791, DOI 10.1007/s10113-018-1329-3
   Jansson M, 2019, LANDSCAPE RES, V44, P952, DOI 10.1080/01426397.2018.1536199
   Köhler J, 2019, ENVIRON INNOV SOC TR, V31, P1, DOI 10.1016/j.eist.2019.01.004
   Kronenberg J, 2021, ECOL SOC, V26, DOI 10.5751/ES-12445-260236
   Langemeyer J, 2020, ENVIRON SCI POLICY, V109, P1, DOI 10.1016/j.envsci.2020.03.021
   Langemeyer J, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.135487
   Loorbach D, 2020, ENVIRON INNOV SOC TR, V35, P251, DOI 10.1016/j.eist.2020.01.009
   Malekpour S, 2015, CITIES, V46, P67, DOI 10.1016/j.cities.2015.05.003
   Mattijssen TJM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11205781
   Moser SC, 2019, ECOL SOC, V24, DOI 10.5751/ES-10980-240228
   Nordh H, 2021, J ENVIRON PLANN MAN, V64, P883, DOI 10.1080/09640568.2020.1787960
   Nordin AC, 2017, ECOL SOC, V22, DOI 10.5751/ES-09420-220326
   Pauleit S, 2019, URBAN FOR URBAN GREE, V40, P4, DOI 10.1016/j.ufug.2018.10.006
   Randrup TB, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103225
   Rauschmayer F, 2015, ECOL ECON, V109, P211, DOI 10.1016/j.ecolecon.2014.11.018
   Sussams LW, 2015, J ENVIRON MANAGE, V147, P184, DOI 10.1016/j.jenvman.2014.09.003
   Tacconi L, 2011, ENVIRON CONSERV, V38, P234, DOI 10.1017/S0376892911000233
   van der Jagt APN, 2021, FRONT SUSTAIN CITIES, V2, DOI 10.3389/frsc.2020.583833
   van der Jagt APN, 2020, ENVIRON INNOV SOC TR, V35, P202, DOI 10.1016/j.eist.2019.09.005
   van der Jagt APN, 2019, J ENVIRON MANAGE, V233, P757, DOI 10.1016/j.jenvman.2018.09.083
   Wamsler C, 2020, CLIMATIC CHANGE, V158, P235, DOI 10.1007/s10584-019-02557-9
   Wolfram M, 2019, AMBIO, V48, P437, DOI 10.1007/s13280-019-01169-y
   Wolfram M, 2018, FUTURE CITY, V11, P103, DOI 10.1007/978-3-319-69273-9_5
   Wolfram M, 2016, CITIES, V51, P121, DOI 10.1016/j.cities.2015.11.011
   Ziervogel G, 2019, AMBIO, V48, P494, DOI 10.1007/s13280-018-1141-9
NR 60
TC 33
Z9 33
U1 11
U2 58
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0965-4313
EI 1469-5944
J9 EUR PLAN STUD
JI Eur. Plan. Stud.
PD DEC 2
PY 2023
VL 31
IS 12
BP 2401
EP 2424
DI 10.1080/09654313.2022.2139594
EA NOV 2022
PG 24
WC Environmental Studies; Geography; Regional & Urban Planning; Urban
   Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Public Administration;
   Urban Studies
GA X1NS5
UT WOS:000882833600001
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Agrawal, T
   Hirons, M
   Gathorne-Hardy, A
AF Agrawal, Tanvi
   Hirons, Mark
   Gathorne-Hardy, Alfred
TI Understanding farmers' cropping decisions and implications for crop
   diversity conservation: Insights from Central India
SO CURRENT RESEARCH IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
DE Subsistence agriculture; Crop diversity; Climate adaptation; Nutrition;
   Values-rules-knowledge; India
ID DIETARY DIVERSITY; CLIMATE-CHANGE; FOOD SECURITY; KNOWLEDGE;
   AGROBIODIVERSITY; SOIL; DIVERSIFICATION; BIODIVERSITY; AGRICULTURE;
   ADAPTATION
AB Conserving crop diversity is promoted for global food system stability and creating local benefits like improved farmer nutrition, incomes and adaptive capacities. However, little is known about how farmers make decisions shaping crop diversity, and how conservation efforts can be aligned with farmers' goals. This study examines how interacting values, rules and knowledge shape decisions of subsistence farmers in central India. Findings suggest that farmers' values play a central role in shaping crop diversity. Their culinary and health preferences for consuming various self-cultivated crops primarily drive portfolio decisions. Farmers are hesitant to invest in commercial agricultural because of unreliable returns. Furthermore, they prefer to control water availability and land quality as means of coping with environmental change, rather than resorting to crop diversification. Finally, a rich understanding of local crop diversity dynamics questions the ethics of expecting marginal farmers to shoulder the burden of conservation for global gain, suggesting ex-situ strategies are appropriate where in-situ practices are not autonomously selected. Overall, the analysis demonstrates the importance of understanding farmer-level decision-making for wider crop diversity conservation debates.
C1 [Agrawal, Tanvi; Hirons, Mark] Univ Oxford, Sch Geog & Environm, Environm Change Inst, Oxford, England.
   [Agrawal, Tanvi; Gathorne-Hardy, Alfred] Univ Oxford, Somerville Coll, Oxford India Ctr Sustainable Dev, Oxford, England.
   [Agrawal, Tanvi] Ashoka Trust Res Ecol & Environm, Bengaluru 560064, Karnataka, India.
   [Gathorne-Hardy, Alfred] Univ Edinburgh, Global Acad Agr & Food Secur, Edinburgh, Midlothian, Scotland.
   [Gathorne-Hardy, Alfred] Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland.
C3 University of Oxford; University of Oxford; University of Edinburgh;
   University of Edinburgh
RP Agrawal, T (corresponding author), Univ Oxford, Sch Geog & Environm, Environm Change Inst, Oxford, England.
EM tanvi.agrawal@atree.org; mark.hirons@ouce.ox.ak.uk;
   a.gathorne-hardy@ed.ac.uk
RI Gathorne-Hardy, Alfred/AEV-4144-2022
OI Agrawal, Tanvi/0000-0002-0590-248X; Hirons, Mark/0000-0002-5020-7830
CR Agriculture Census Division Ministry of Agriculture and Farmers Welfare, AGR CENS
   Altieri MA, 2015, AGRON SUSTAIN DEV, V35, P869, DOI 10.1007/s13593-015-0285-2
   Amita Baviskar Amita Baviskar, 2003, Economic and Political Weekly, V38, P5051
   [Anonymous], 1998, J. Political Ecol, DOI DOI 10.2458/V5I1.21397
   [Anonymous], 2015, Coping with climate change-The roles of genetic resources for food and agriculture
   Aweke CS, 2020, FOOD SECUR, V12, P625, DOI 10.1007/s12571-020-01027-w
   Babcock BA, 1996, AM J AGR ECON, V78, P416, DOI 10.2307/1243713
   Basavaraj G, 2010, SAT EJ, V8
   BELLON MR, 1993, ECON DEV CULT CHANGE, V41, P763, DOI 10.1086/452047
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Berkes F., 1999, Sacred ecology: Traditional ecological knowledge and resource management
   Bernard Harvey R., 2011, Research methods in anthropology Qualitative and quantitative approaches
   Beymer-Farris B.A., 2012, Resilience and the cultural landscape, DOI DOI 10.1017/CBO9781139107778.003
   Bioversity International Action for Social Advancement, 2016, UND CROPS LIV DIETS
   Bisht IS, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122410690
   Blundo-Canto G, 2020, FOOD SECUR, V12, P637, DOI 10.1007/s12571-020-01022-1
   BRUSH SB, 1991, ECON BOT, V45, P153, DOI 10.1007/BF02862044
   BRUSH SB, 1989, CONSERV BIOL, V3, P19, DOI 10.1111/j.1523-1739.1989.tb00220.x
   Buege DJ, 1996, ENVIRON ETHICS, V18, P71, DOI 10.5840/enviroethics199618144
   CLAWSON DL, 1985, ECON BOT, V39, P56, DOI 10.1007/BF02861175
   Comberti C, 2015, GLOBAL ENVIRON CHANG, V34, P247, DOI 10.1016/j.gloenvcha.2015.07.007
   Convention on Biological Diversity, 2019, Report of the Conference of the Parties to the Convention on Biological Diversity on its fourteenth meeting
   de Wit MM, 2016, AGR HUM VALUES, V33, P625, DOI 10.1007/s10460-015-9642-7
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Directorate of Census Operations Madhya Pradesh, 2011, DISTR CENS HDB MANDL
   Dove MR, 2003, HUM ORGAN, V62, P229, DOI 10.17730/humo.62.3.dnbdu0c8km3ye4xc
   Dweba TP, 2011, INT J INFORM MANAGE, V31, P564, DOI 10.1016/j.ijinfomgt.2011.02.009
   Engels J, 2014, MANAGEMENT CROP DIVE
   Esquinas-Alcázar J, 2005, NAT REV GENET, V6, P946, DOI 10.1038/nrg1729
   FAO, 2017, 6 WAYS IND PEOPL ARE
   FAO, 2017, FUTURE FOOD AGR TREN, DOI DOI 10.2307/4356839
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Garnett ST, 2018, NAT SUSTAIN, V1, P369, DOI 10.1038/s41893-018-0100-6
   Gómez-Baggethun E, 2013, ECOL SOC, V18, DOI 10.5751/ES-06288-180472
   Gómez-Limón JA, 2004, J AGR ECON, V55, P541, DOI 10.1111/j.1477-9552.2004.tb00114.x
   Gorddard R, 2017, INTEGR IMPLEMENT INS
   Gorddard R, 2016, ENVIRON SCI POLICY, V57, P60, DOI 10.1016/j.envsci.2015.12.004
   Gosain A.K., 2017, CLIMATE CHANGE VULNE
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   International Institute for Population Sciences Ministry of Health and Family Welfare Government of India, 2017, NATL FAMILY HLTH SUR
   Jarvis D, 2000, GENES IN THE FIELD, P261
   Jarvis DI, 2008, P NATL ACAD SCI USA, V105, P5326, DOI 10.1073/pnas.0800607105
   Jarvis DI, 2011, CRIT REV PLANT SCI, V30, P125, DOI 10.1080/07352689.2011.554358
   Jarvis DevraI., 2016, Crop Genetic Diversity in the Field and on the Farm: Principles and Applications in Research Practices
   Jones AD, 2014, FOOD POLICY, V46, P1, DOI 10.1016/j.foodpol.2014.02.001
   Kala CP, 2013, J SOIL SCI PLANT NUT, V13, P201, DOI 10.4067/S0718-95162012005000039
   Khan MT, 2013, J POLIT ECOL, V20, P460, DOI 10.2458/v20i1.21757
   Khoury CK, 2014, P NATL ACAD SCI USA, V111, P4001, DOI 10.1073/pnas.1313490111
   Klasen S, 2016, ECOL ECON, V122, P111, DOI 10.1016/j.ecolecon.2016.01.001
   Lacy W. B., 1994, Agriculture and Human Values, V11, P3, DOI 10.1007/BF01534442
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Martin A, 2013, GEOGR J, V179, P122, DOI 10.1111/geoj.12018
   Meijer SS, 2015, INT J AGR SUSTAIN, V13, P40, DOI 10.1080/14735903.2014.912493
   Meldrum G., 2017, Environ. Dev. Sustain., V1, P28, DOI [10.1007/s10668-016, DOI 10.1007/S10668-016]
   Michaelraj P.S. J., 2013, International Journal of Marketing, Financial Services Management Research, V2, P49
   Mijatovic D, 2019, DIVERSIFICATION CLIM
   Ministry of Water Resources, 2013, MANDL DISTR GLANC
   Mofya-Mukuka R, 2018, FOOD SECUR, V10, P1449, DOI 10.1007/s12571-018-0872-6
   Mukherjee N, 2000, J GENET, V79, P41, DOI 10.1007/BF02728944
   Muthini D, 2020, FOOD SECUR, V12, P1107, DOI 10.1007/s12571-020-01030-1
   Nambiar K.K.M., 1994, Soil fertility and crop productivity under long-term fertilizer use in India
   OGLETHORPE DR, 1995, J AGR ECON, V46, P227, DOI 10.1111/j.1477-9552.1995.tb00768.x
   Op de Beeck Hans P., TRENDS COGN SCI, V14, P22, DOI [10.1016/j.tics.2009.11.002, DOI 10.1016/J.TICS.2009.11.002, 10.1016/j.jri.2014.11.002, DOI 10.1016/J.APCATB.2019.118522]
   Padulosi S., 2002, P323, DOI 10.1079/9780851995229.0323
   PAR (Platform for Agrobiodiversity Research), 2009, USE AGROBIODIVERSITY
   Pellegrini L, 2014, CAN J DEV STUD, V35, P211, DOI 10.1080/02255189.2014.898580
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Powell B, 2017, J ETHNOBIOL ETHNOMED, V13, DOI 10.1186/s13002-017-0150-2
   Pudasaini R, 2013, ISS AGRIC DIVERS, P242
   Rana R. B., 2005, On-farm conservation of agricultural biodiversity in Nepal. Volume 1: assessing the amount and distribution of genetic diversity on-farm. Proceedings of the second national workshop, Nagarkot, Nepal, 25-27 August, 2004, P15
   Robbins P., 2004, POLITICAL ECOLOGY CR
   Robert M, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-016-0402-x
   Sayre M, 2017, CULT AGRIC FOOD ENVI, V39, P100, DOI 10.1111/cuag.12100
   Sharma D., 2004, MY VISION GLOBAL AGR
   Sibhatu KT, 2015, P NATL ACAD SCI USA, V112, P10657, DOI 10.1073/pnas.1510982112
   SINHA SB, 1988, SOCIO ECON PLAN SCI, V22, P93, DOI 10.1016/0038-0121(88)90021-3
   Siu J.Y, 2012, CULTURAL PERCEPTIONS, DOI [10.5772/53281, DOI 10.5772/53281]
   Soleri Daniela, 1993, Journal of Ethnobiology, V13, P203
   Sthapit B., 2010, Indian J. Plant Genet. Resour, V23, P145
   Thrupp LA, 2000, INT AFF, V76, P265, DOI 10.1111/1468-2346.00133
   Turner MD, 2016, WORLD DEV, V87, P258, DOI 10.1016/j.worlddev.2016.06.014
   van Kerkhoff L., 2017, INTEGR IMPLEMENT INS
   Vincent A., 1998, SOCIAL JUSTICE HUME, P120
   Wilkes G, 1994, BIODIVERSITY LANDSCA, P151
   Wood S., 2000, PILOT ANAL GLOBAL EC
   Zhang YX, 2017, J CULT HERIT, V25, P170, DOI 10.1016/j.culher.2016.12.002
   ZIMMERER K S, 1991, Journal of Ethnobiology, V11, P23
   Zimmerer KS, 2014, ECOL SOC, V19, DOI 10.5751/ES-06316-190201
NR 88
TC 8
Z9 10
U1 3
U2 5
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 100068
DI 10.1016/j.crsust.2021.100068
PG 13
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA 6W4JB
UT WOS:000895695000001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Pham-Duc, B
   Sylvestre, F
   Papa, F
   Frappart, F
   Bouchez, C
   Crétaux, JF
AF Pham-Duc, Binh
   Sylvestre, Florence
   Papa, Fabrice
   Frappart, Frederic
   Bouchez, Camille
   Cretaux, Jean-Francois
TI The Lake Chad hydrology under current climate change
SO SCIENTIFIC REPORTS
LA English
DT Article
ID WEST-AFRICAN MONSOON; WATER-RESOURCES; PART I; VARIABILITY; RIVER;
   GROUNDWATER; EVAPORATION; SURFACE; DELTA; MODIS
AB Lake Chad, in the Sahelian zone of west-central Africa, provides food and water to similar to 50 million people and supports unique ecosystems and biodiversity. In the past decades, it became a symbol of current climate change, held up by its dramatic shrinkage in the 1980s. Despites a partial recovery in response to increased Sahelian precipitation in the 1990s, Lake Chad is still facing major threats and its contemporary variability under climate change remains highly uncertain. Here, using a new multi-satellite approach, we show that Lake Chad extent has remained stable during the last two decades, despite a slight decrease of its northern pool. Moreover, since the 2000s, groundwater, which contributes to similar to 70% of Lake Chad's annual water storage change, is increasing due to water supply provided by its two main tributaries. Our results indicate that in tandem with groundwater and tropical origin of water supply, over the last two decades, Lake Chad is not shrinking and recovers seasonally its surface water extent and volume. This study provides a robust regional understanding of current hydrology and changes in the Lake Chad region, giving a basis for developing future climate adaptation strategies.
C1 [Pham-Duc, Binh; Sylvestre, Florence] Aix Marseille Univ, CNRS, IRD, Coll France,INRAE,CEREGE,Europole Arbois, Aix En Provence, France.
   [Pham-Duc, Binh] Univ Sci & Technol Hanoi, Vietnam Acad Sci & Technol, Dept Space & Applicat, Hanoi, Vietnam.
   [Papa, Fabrice; Frappart, Frederic; Cretaux, Jean-Francois] Univ Toulouse, UPS, CNRS, CNES,IRD,LEGOS, Toulouse, France.
   [Papa, Fabrice] Univ Brasilia, Inst Geosci, Campus Univ Darcy Ribeiro, BR-70910900 Brasilia, DF, Brazil.
   [Bouchez, Camille] Univ Rennes, Geosci Rennes, CNRS, UMR 6118, Rennes, France.
C3 Aix-Marseille Universite; INRAE; Centre National de la Recherche
   Scientifique (CNRS); Universite PSL; College de France; Institut de
   Recherche pour le Developpement (IRD); Vietnam Academy of Science &
   Technology (VAST); University of Science & Technology of Hanoi (USTH);
   Universite de Toulouse; Universite Toulouse III - Paul Sabatier; Centre
   National de la Recherche Scientifique (CNRS); Institut de Recherche pour
   le Developpement (IRD); Laboratoire d'Etudes en Geophysique et
   oceanographie spatiales; Universidade de Brasilia; Centre National de la
   Recherche Scientifique (CNRS); CNRS - National Institute for Earth
   Sciences & Astronomy (INSU); Universite de Rennes
RP Pham-Duc, B; Sylvestre, F (corresponding author), Aix Marseille Univ, CNRS, IRD, Coll France,INRAE,CEREGE,Europole Arbois, Aix En Provence, France.; Pham-Duc, B (corresponding author), Univ Sci & Technol Hanoi, Vietnam Acad Sci & Technol, Dept Space & Applicat, Hanoi, Vietnam.
EM pham@cerege.fr; sylvestre@cerege.fr
RI Bouchez, Camille/AAC-3015-2021; Frappart, Frédéric/AAB-8558-2019; Papa,
   Fabrice/D-3695-2009
OI Frappart, Frederic/0000-0002-4661-8274; Bouchez,
   Camille/0000-0002-3094-6070; Papa, Fabrice/0000-0001-6305-6253
FU United Nations Development Programme (UNDP); Adelphi (Berlin); Federal
   Foreign Office of Germany; Ministry of Foreign Affairs of the Kingdom of
   the Netherlands; French National Research Institute for Sustainable
   Development (IRD, France); Centre National d'Etudes Spatiales (CNES)
   through the TOSCA project; Adelphi
FX This study was funded by United Nations Development Programme (UNDP),
   Adelphi (Berlin), the Federal Foreign Office of Germany, the Ministry of
   Foreign Affairs of the Kingdom of the Netherlands, the French National
   Research Institute for Sustainable Development (IRD, France), and the
   Centre National d'Etudes Spatiales (CNES) through the TOSCA project. The
   authors are grateful to the University of N'Djamena, the Centre National
   de la Recherche pour le Developpement of Chad (CNRD) and the Lake Chad
   Commission Basin (LCBC) for providing observations and data, and NASA
   and ESA for providing satellite observations. The authors are also
   grateful to the Centre for Topographic Studies of the Oceans and
   Hydrosphere (CTOH, www.legos.obs-mip.fr/observations/ctoh) at LEGOS
   (Toulouse, France) for providing altimetry data in a standard and useful
   form. The authors also particularly thank Adelphi for their support and
   fruitful discussions. We thank Dr. Abdallah Mahamat Nour for his help in
   improving the manuscript.
CR [Anonymous], 1980, TRACAGE NATUREL SALI
   Aranyossy J.F., 1993, REV SCI EAU, V6, P81, DOI DOI 10.7202/705167AR
   Armitage SJ, 2015, P NATL ACAD SCI USA, V112, P8543, DOI 10.1073/pnas.1417655112
   Bader JC, 2011, HYDROLOG SCI J, V56, P411, DOI 10.1080/02626667.2011.560853
   Bergé-Nguyen M, 2015, REMOTE SENS-BASEL, V7, P2127, DOI 10.3390/rs70202127
   Biancamaria S, 2017, ADV SPACE RES, V59, P128, DOI 10.1016/j.asr.2016.10.008
   Biancamaria S, 2018, REMOTE SENS ENVIRON, V209, P77, DOI 10.1016/j.rse.2018.02.037
   Binh PD, 2019, WATER-SUI, V11, DOI 10.3390/w11010075
   Birkett CM, 2000, REMOTE SENS ENVIRON, V72, P218, DOI 10.1016/S0034-4257(99)00105-4
   Bouchez C, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-43514-x
   Bouchez C, 2016, HYDROL EARTH SYST SC, V20, P1599, DOI 10.5194/hess-20-1599-2016
   Buma WG, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18072082
   Carter RC, 1996, Q J ENG GEOL, V29, P341, DOI 10.1144/GSL.QJEGH.1996.029.P4.07
   Coe MT, 2001, J GEOPHYS RES-ATMOS, V106, P3349, DOI 10.1029/2000JD900587
   Cook KH, 2008, NAT GEOSCI, V1, P647, DOI 10.1038/ngeo320
   Cretaux J, 2017, HYDROLOGICAL APPLICA
   Crétaux JF, 2016, SURV GEOPHYS, V37, P269, DOI 10.1007/s10712-016-9362-6
   Crétaux JF, 2011, ADV SPACE RES, V47, P1497, DOI 10.1016/j.asr.2011.01.004
   Cuthbert MO, 2019, NATURE, V572, P230, DOI 10.1038/s41586-019-1441-7
   Defrance D, 2017, P NATL ACAD SCI USA, V114, P6533, DOI 10.1073/pnas.1619358114
   Edmunds W. M., 2004, GROUNDWATER ARCHIVE, P279
   Fontaine B, 2011, INT J CLIMATOL, V31, P633, DOI 10.1002/joc.2108
   Frappart F, 2006, GEOPHYS J INT, V167, P570, DOI 10.1111/j.1365-246X.2006.03184.x
   Frappart F, 2006, REMOTE SENS ENVIRON, V100, P252, DOI 10.1016/j.rse.2005.10.027
   Frappart F, 2019, ADV WATER RESOUR, V124, P41, DOI 10.1016/j.advwatres.2018.12.005
   Frappart F, 2018, REMOTE SENS-BASEL, V10
   Frappart F, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044010
   Frappart F, 2011, REMOTE SENS ENVIRON, V115, P1588, DOI 10.1016/j.rse.2011.02.003
   Gao H, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034021
   Gasse F, 2000, QUATERNARY SCI REV, V19, P189, DOI 10.1016/S0277-3791(99)00061-X
   Giorgi F, 2002, CLIM DYNAM, V18, P675, DOI 10.1007/s00382-001-0204-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
   Lebel T, 2009, J HYDROL, V375, P52, DOI 10.1016/j.jhydrol.2008.11.030
   Leblanc M, 2011, J HYDROL, V404, P87, DOI 10.1016/j.jhydrol.2011.04.023
   Leblanc M, 2006, PALAEOGEOGR PALAEOCL, V239, P16, DOI 10.1016/j.palaeo.2006.01.003
   Lemoalle J., 2014, DEV LAC TCHAD SITUAT
   Lemoalle J, 2012, GLOBAL PLANET CHANGE, V80-81, P247, DOI 10.1016/j.gloplacha.2011.07.004
   Magrin G, 2018, CRISE DEVELOPPEMENT
   Maharana P, 2018, GLOBAL PLANET CHANGE, V162, P252, DOI 10.1016/j.gloplacha.2018.01.013
   Mahmood R, 2020, J HYDROMETEOROL, V21, P73, DOI 10.1175/JHM-D-19-0105.1
   Mahmood R, 2019, SCI TOTAL ENVIRON, V675, P122, DOI 10.1016/j.scitotenv.2019.04.219
   Mahmood R, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-42811-9
   Martens B, 2016, INT J APPL EARTH OBS, V48, P146, DOI 10.1016/j.jag.2015.09.012
   Martens B, 2017, GEOSCI MODEL DEV, V10, P1903, DOI 10.5194/gmd-10-1903-2017
   Moran Ashley, 2018, INTERSECTION GLOBAL
   NASA, 2001, AFR DIS LAK CHAD
   Nicholson S, 2005, J ARID ENVIRON, V63, P615, DOI 10.1016/j.jaridenv.2005.03.004
   Nicholson Sharon E., 2013, ISRN Meteorology, DOI 10.1155/2013/453521
   Nicholson SE, 2012, QUATERNARY RES, V78, P13, DOI 10.1016/j.yqres.2012.03.012
   Normandin C, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10060833
   Normandin C, 2018, HYDROL EARTH SYST SC, V22, P1543, DOI 10.5194/hess-22-1543-2018
   Olivry J.C., 1996, Hydrologie du Lac Tchad
   Papa F, 2012, IEEE GEOSCI REMOTE S, V9, P569, DOI 10.1109/LGRS.2011.2174958
   Papa F, 2015, J HYDROL-REG STUD, V4, P15, DOI 10.1016/j.ejrh.2015.03.004
   Park JY, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6985
   Policelli F, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10020252
   QGIS Development Team, 2022, QGIS Geographic Information System
   Ramillien G, 2014, REMOTE SENS-BASEL, V6, P7379, DOI 10.3390/rs6087379
   Ricko M, 2012, J APPL REMOTE SENS, V6, DOI 10.1117/1.JRS.6.061710
   Rodríguez-Fonseca B, 2015, J CLIMATE, V28, P4034, DOI 10.1175/JCLI-D-14-00130.1
   Roehrig R, 2013, J CLIMATE, V26, P6471, DOI 10.1175/JCLI-D-12-00505.1
   Sakamoto T, 2007, REMOTE SENS ENVIRON, V109, P295, DOI 10.1016/j.rse.2007.01.011
   Sharma RC, 2015, REMOTE SENS-BASEL, V7, P13807, DOI 10.3390/rs71013807
   Sultan B, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014040
   Sultan B, 2003, J CLIMATE, V16, P3389, DOI 10.1175/1520-0442(2003)016<3389:TWAMDP>2.0.CO;2
   Sun DL, 2011, IEEE J-STARS, V4, P814, DOI 10.1109/JSTARS.2011.2125778
   Sylvestre F, 2018, SCI DRILL, V24, P71, DOI 10.5194/sd-24-71-2018
   Taylor CM, 2017, NATURE, V544, P475, DOI 10.1038/nature22069
   Vivekananda J., 2017, REV PROGR 2017
   Vizy EK, 2013, J CLIMATE, V26, P4664, DOI 10.1175/JCLI-D-12-00533.1
   Zhou WH, 2017, 2017 IEEE THIRD INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM 2017), P9, DOI 10.1109/BigMM.2017.12
   Zhu WB, 2019, J HYDROL, V569, P519, DOI 10.1016/j.jhydrol.2018.12.015
NR 72
TC 86
Z9 88
U1 2
U2 43
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD MAR 26
PY 2020
VL 10
IS 1
AR 5498
DI 10.1038/s41598-020-62417-w
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA NF5JX
UT WOS:000563333800004
PM 32218517
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Galindo-Díaz, J
   Osuna-Motta, I
   Marulanda-Montes, A
AF Galindo-Diaz, Jorge
   Osuna-Motta, Ivan
   Marulanda-Montes, Andrea
TI To compose the facade to design the envelope. The example of the
   architect Juvenal Moya in Cali
SO REVISTA DE ARQUITECTURA
LA Spanish
DT Article
DE climate adaptation; Colombian architects; bioclimatic architecture;
   modern architecture in Latin America; thermal and light control;
   architectural design; solar radiation
AB Recognizing the legacy of the work of the Colombian architect Juvenal Moya Cadena (1921-1958) allows identifying project strategies related to passive air conditioning. The hypothesis is based on the influence he received from Leopoldo Rother (1894-1978) on architecture, landscape and climate. Methodologically, a descriptive and functional analysis of the Regular Normal School building (Cali-Colombia, 1946) is carried out on aspects such as the genesis of the project, the various facade alternatives and the validity and validity of the responses through computer simulations. In this project Moya conceives a double facade system in response to the problems of solar radiation and lighting of the spaces destined to the classrooms because of the orientation of the building, using a careful analysis of the place and the rigorous layout of the letter solar, in such a way that it managed to anticipate pioneering solutions in the field of technique and architectural spatiality. The conclusions demonstrate the way in which in the first generations of Colombian architects there was a concern to respond to the climatic conditions of the country and account for the projectual instruments that were available for it.
C1 [Galindo-Diaz, Jorge; Marulanda-Montes, Andrea] Univ Nacl Clombia, Sede Manizales, Escuela Arquitectura & Urbanismo, Manizales, Colombia.
   [Osuna-Motta, Ivan] Pontifica Univ Javeriana, Dept Arte Arquitectura & Diseno, Cali, Colombia.
C3 Pontificia Universidad Javeriana
RP Galindo-Díaz, J (corresponding author), Univ Nacl Clombia, Sede Manizales, Escuela Arquitectura & Urbanismo, Manizales, Colombia.
EM jagalindod@unal.edu.co; ivan.osuna@javerianacali.edu.co;
   amarulandam@unal.edu.co
RI Osuna, Ivan/ABH-8430-2020
OI Osuna Motta, Ivan/0000-0001-5137-2603
CR Almodovar J. M., 2004, ARQUITEXTOS, V5
   Archivo General de la Nacion Fondo Invias, 1945, CONCENTRACION ESCOLA
   Archivo General de la Nacion Fondo Invias, 1946, ESCUELA NORMAL REGUL
   Archivo particular de la familia Moya, 2017, JUVENAL MOYA CADENA
   Botti G., 2020, ARCHITETTURA CITTA C
   Botti G, 2019, J ARCHITECTURE, V24, P731, DOI 10.1080/13602365.2019.1684971
   Buitrago P., 2011, CASAS MODERNAS CALI
   Bustamante D., 2014, THESIS
   Comas C. E., 2000, ARQUITEXTOS, V5
   Cruz C., 2018, PRIMER COLOQUIO COLO
   Del Real P., 2002, ACSA TECHNOLOGY C P, P199
   Fontana MariaPia., 2006, Colombia Arquitectura Moderna, V2nd
   Fordham C, 2018, BUILDING KNOWLEDGE, CONSTRUCTING HISTORIES, VOL 1, P637
   Goodwin PhilipL., 1943, BRAZIL BUILDS ARCHIT
   Hitchcock H., 1955, LATIN AMERICAN ARCHI
   Morel Correa S, 2015, CORBUSIER 50 YEARS L, DOI [10.4995/LC2015.2015.923, DOI 10.4995/LC2015.2015.923]
   Morel Correa S, 2016, ARQUISUR REV, V6, P108
   Neutra R., 1946, PROGR ARCHITECTURE, V27, P88
   Nino C., 1991, ARQUITECTURA Y ESTAD
   Pinilla M., 2017, THESIS
   Ramirez A., 1948, INFORME QUE EL SECRE
   Rigotti A.M., 2014, CUADERNO DEL LABORAT, V5
   Rother H., 1984, ARQUITECTO LEOPOLDO
   Rother L., 1970, TRATADO DE DISENO AR, VI
   Tibaduiza J., 2015, THESIS
   Velez C., 2010, ARQUITECTURA MODERNA
NR 26
TC 5
Z9 5
U1 0
U2 8
PU UNIV CATOLICA COLOMBIA, FAC DISENO
PI BOGOTA D C
PA CARRERA 13 NO 47-49, BOGOTA D C, 00000, COLOMBIA
SN 1657-0308
EI 2357-626X
J9 REV ARQUIT
JI Rev. Arquit.
PD JAN-JUN
PY 2020
VL 22
IS 1
BP 94
EP 106
DI 10.14718/RevArq.2020.2776
PG 13
WC Architecture
WE Emerging Sources Citation Index (ESCI)
SC Architecture
GA NW6XB
UT WOS:000575158200008
OA gold, Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU Matsuda, N
   Numata, H
AF Matsuda, Naoki
   Numata, Hideharu
TI Altitudinal variation in life-history traits in the lawn ground cricket,
   <i>Polionemobius mikado</i>
SO ENTOMOLOGICAL SCIENCE
LA English
DT Article
DE body size; embryonic diapause; growing season; voltinism
ID BODY-SIZE; CLIMATIC ADAPTATION; GRASSHOPPER POPULATIONS; ORTHOPTERA;
   BERGMANNS; GRADIENTS; TEMPERATURE; DIVERGENCE; METABOLISM; ELEVATION
AB It has been reported that the lawn ground cricket, Polionemobius mikado (Orthoptera: Trigonidiidae), shows variations in voltinism and life-history traits along latitude in Japan, but whether it shows variations along altitude has not been examined. The present study aims to determine whether there is variation in voltinism, body size and the incidence of embryonic diapause among populations of P. mikado at different altitudes in Kyoto, Japan. Six populations collected from 70 to 800 m a.s.l. showed a positive relationship between the adult head width and the altitude of sampling locality. This body size cline is attributed to the increasing proportion of larger univoltine individuals from low to high altitude. The incidence of diapause of the strain from altitude 800 m was approximately 100% when reared under natural photoperiods and temperatures from spring to summer at an altitude of 70 m, and was significantly higher than that of the strain from 70 m. These differences in life-history traits suggest that the population of P. mikado at a higher altitude has adapted to a shorter length of the season available for growth.
C1 [Matsuda, Naoki; Numata, Hideharu] Kyoto Univ, Dept Zool, Grad Sch Sci, Kyoto, Japan.
C3 Kyoto University
RP Numata, H (corresponding author), Kyoto Univ, Dept Zool, Grad Sch Sci, Sakyo Ku, Kitashirakawaoiwakecho, Kyoto 6068502, Japan.
EM numata@ethol.zool.kyoto-u.ac.jp
RI Numata, Hideharu/ABE-4517-2021
OI Numata, Hideharu/0000-0003-3786-0701; Matsuda, Naoki/0000-0002-9363-1148
CR ALEXANDE.G, 1969, ECOL MONOGR, V39, P385, DOI 10.2307/1942354
   ATKINSON D, 1994, ADV ECOL RES, V25, P1, DOI 10.1016/S0065-2504(08)60212-3
   BEGON M, 1983, ECOL ENTOMOL, V8, P361, DOI 10.1111/j.1365-2311.1983.tb00516.x
   Berner D, 2006, J ANIM ECOL, V75, P130, DOI 10.1111/j.1365-2656.2005.01028.x
   Berner D, 2004, ECOGRAPHY, V27, P733, DOI 10.1111/j.0906-7590.2005.04012.x
   Bidau CJ, 2007, ANN ENTOMOL SOC AM, V100, P850, DOI 10.1603/0013-8746(2007)100[850:CVOBSI]2.0.CO;2
   Blanckenhorn WU, 2004, INTEGR COMP BIOL, V44, P413, DOI 10.1093/icb/44.6.413
   CHAPPELL MA, 1983, OECOLOGIA, V56, P126, DOI 10.1007/BF00378228
   Chown SL, 1999, BIOL REV, V74, P87, DOI 10.1017/S000632319800526X
   Chown SL, 2003, ECOGRAPHY, V26, P445, DOI 10.1034/j.1600-0587.2003.03479.x
   DEARN JM, 1977, OECOLOGIA, V28, P67, DOI 10.1007/BF00346837
   DINGLE H, 1990, OECOLOGIA, V84, P199, DOI 10.1007/BF00318272
   Dmitriew CM, 2011, BIOL REV, V86, P97, DOI 10.1111/j.1469-185X.2010.00136.x
   Eweleit L, 2014, ECOL ENTOMOL, V39, P133, DOI 10.1111/een.12061
   Higaki Morio, 1999, Entomological Science, V2, P1
   Hodkinson ID, 2005, BIOL REV, V80, P489, DOI 10.1017/S1464793105006767
   Horne CR, 2018, FUNCT ECOL, V32, P948, DOI 10.1111/1365-2435.13031
   Hut RA, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.0433
   Keller I, 2013, J EVOLUTION BIOL, V26, P2527, DOI 10.1111/jeb.12255
   Kivelä SM, 2013, EVOLUTION, V67, P3145, DOI 10.1111/evo.12181
   Körner C, 2007, TRENDS ECOL EVOL, V22, P569, DOI 10.1016/j.tree.2007.09.006
   Laiolo P, 2013, J EVOLUTION BIOL, V26, P2171, DOI 10.1111/jeb.12213
   Levy RA, 2015, OIKOS, V124, P610, DOI 10.1111/oik.01615
   Masaki S., 1960, Bulletin of the Faculty of Agriculture Hirosaki University 1960, Vno. 6, P5
   MASAKI S, 1979, Kontyu, V47, P48
   Masaki S., 1978, P72
   MASAKI S, 1978, OECOLOGIA, V35, P343, DOI 10.1007/BF00345141
   MASAKI S, 1972, EVOLUTION, V26, P587, DOI 10.1111/j.1558-5646.1972.tb01966.x
   MASAKI S, 1967, EVOLUTION, V21, P725, DOI 10.1111/j.1558-5646.1967.tb03430.x
   Matsuda N, 2018, GLOBAL CHANGE BIOL, V24, P5622, DOI 10.1111/gcb.14436
   ROFF D, 1980, OECOLOGIA, V45, P202, DOI 10.1007/BF00346461
   Shelomi M, 2012, AM NAT, V180, P511, DOI 10.1086/667595
   TANAKA S, 1983, CAN J ZOOL, V61, P1986, DOI 10.1139/z83-262
   TAUBER CA, 1981, ANNU REV ECOL SYST, V12, P281, DOI 10.1146/annurev.es.12.110181.001433
   Winterhalter WE, 2007, EVOLUTION, V61, P1520, DOI 10.1111/j.1558-5646.2007.00127.x
NR 35
TC 5
Z9 5
U1 0
U2 9
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1343-8786
EI 1479-8298
J9 ENTOMOL SCI
JI Entomol. Sci.
PD JUN
PY 2019
VL 22
IS 2
BP 198
EP 204
DI 10.1111/ens.12359
PG 7
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA IB1CZ
UT WOS:000470002700011
DA 2025-01-10
ER

PT J
AU Galludo, M
   Canals, J
   Pineda-Cirera, L
   Esteve, C
   Rosselló, M
   Balanyà , J
   Arenas, C
   Mestres, F
AF Galludo, Maria
   Canals, Jordi
   Pineda-Cirera, Laura
   Esteve, Carla
   Rossello, Maria
   Balanya, Joan
   Arenas, Conxita
   Mestres, Francesc
TI Climatic adaptation of chromosomal inversions in <i>Drosophila
   subobscura</i>
SO GENETICA
LA English
DT Article
DE Chromosomal inversions; Adaptation; Selection; Temperature; Rainfall;
   Humidity; Global warming
ID LONG-TERM CHANGES; GENE ARRANGEMENT FREQUENCIES; NATURAL-POPULATIONS;
   THERMAL ADAPTATION; POLYMORPHISM; COLONIZATION; PATTERNS; EVOLUTION;
   CLINES; CHILE
AB Drosophila subobscura is a species with a rich chromosomal polymorphism which is adaptive to different climatic conditions. Five samples of the Font Groga population (Barcelona, Spain) were sampled in autumn during 5 consecutive years (2011-2015) to obtain their inversion chromosomal polymorphism, and climatic data of several meteorological variables were also collected. The aim was to analyze the adaptive potential of inversions with regard to climatic variables, being the most relevant: mean temperature (T-mean), maximum temperature (T-max), minimum temperature (T-min), humidity (Hm) and rainfall (Rf). As expected, no significant variation in inversion frequencies were detected over this short period of time. However, from a climatic point of view it was possible to differentiate 'warm' and 'dry' from 'cold' and 'humid' samples. The joint study of maximum (T-max) and minimum (T-min) temperatures was a key element to understand the effect on adaptation of many inversions. It was also observed that temperature had to be considered in conjunction with humidity and rainfall. All these factors would condition the biota of D. subobscura habitat, and chromosomal inversions could provide an adaptive response to it.
C1 [Galludo, Maria; Canals, Jordi; Pineda-Cirera, Laura; Esteve, Carla; Rossello, Maria; Balanya, Joan; Mestres, Francesc] Univ Barcelona, Fac Biol, Dept Genet Microbiol & Estadist, Seccio Genet Biomed Evolucio & Desenvolupament, Av Diagonal 643, E-08028 Barcelona, Spain.
   [Balanya, Joan; Mestres, Francesc] Univ Barcelona, IRBioinst Recerca Biodiversitat, Barcelona, Spain.
   [Arenas, Conxita] Univ Barcelona, Dept Genet Microbiol & Estadist, Seccio Estadist, Barcelona, Spain.
C3 University of Barcelona; University of Barcelona; University of
   Barcelona
RP Mestres, F (corresponding author), Univ Barcelona, Fac Biol, Dept Genet Microbiol & Estadist, Seccio Genet Biomed Evolucio & Desenvolupament, Av Diagonal 643, E-08028 Barcelona, Spain.
EM fmestres@ub.edu
RI Balanya, Joan/A-8683-2008; Canals, Jordi/CAG-7470-2022; Mestres,
   Francesc/E-9220-2016; Arenas, Concepcion/H-5579-2015
OI Mestres, Francesc/0000-0002-9073-4862; Rossello Xamena,
   Maria/0000-0001-8340-8199; Arenas, Concepcion/0000-0002-6489-4934
FU Ministerio de Economia y Competitividad, Spain [CTM2017-88080];
   Generalitat de Catalunya, Spain [2017SGR 1120, 2017SGR 622]
FX This research is the product of 5 different TFG (Final Degree Projects,
   Universitat de Barcelona) carried out in consecutive years by the
   following undergraduate students: MG (2011), JC (2012), LP (2013), CE
   (2014) and MR (2015). It was financially supported by grants from the
   Ministerio de Economia y Competitividad, Spain (CTM2017-88080 AEI/FEDER,
   UE) and the Generalitat de Catalunya, Spain (2017SGR 1120 and 2017SGR
   622).
CR [Anonymous], 1971, Genetics of the Evolutionary Process
   [Anonymous], 16 ESEB C GRON
   Araúz PA, 2009, J ZOOL SYST EVOL RES, V47, P25, DOI 10.1111/j.1439-0469.2008.00483.x
   Arenas C, 2018, GENOME, V61, P73, DOI 10.1139/gen-2017-0124
   Balanyà J, 2004, J ZOOL SYST EVOL RES, V42, P191, DOI 10.1111/j.1439-0469.2004.00274.x
   Balanyà J, 2009, HEREDITY, V103, P364, DOI 10.1038/hdy.2009.86
   Balanyá J, 2006, SCIENCE, V313, P1773, DOI 10.1126/science.1131002
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Calabria G, 2012, J EVOLUTION BIOL, V25, P691, DOI 10.1111/j.1420-9101.2012.02463.x
   Castañeda LE, 2015, EVOLUTION, V69, P2721, DOI 10.1111/evo.12757
   Castañeda LE, 2013, AM NAT, V182, P249, DOI 10.1086/671057
   David JR, 2003, FUNCT ECOL, V17, P425, DOI 10.1046/j.1365-2435.2003.00750.x
   Dolgova O, 2010, BMC EVOL BIOL, V10, DOI 10.1186/1471-2148-10-363
   Franks SJ, 2012, ANNU REV GENET, V46, P185, DOI 10.1146/annurev-genet-110711-155511
   Hoffmann AA, 2004, TRENDS ECOL EVOL, V19, P482, DOI 10.1016/j.tree.2004.06.013
   Hoffmann AA, 2008, ANNU REV ECOL EVOL S, V39, P21, DOI 10.1146/annurev.ecolsys.39.110707.173532
   Kirkpatrick M, 2006, GENETICS, V173, P419, DOI 10.1534/genetics.105.047985
   Krimbas C., 1993, DROSOPHILA SUBOBSCUR
   Krimbas C.B., 1980, Evolutionary Biology (New York), V12, P163
   KRIMBAS CB, 1967, MOL GEN GENET, V99, P133, DOI 10.1007/BF00426158
   Krimbas Costas, 2000, P284
   Krimbas Costas B., 1992, P1
   Krimbas Costas B., 1992, P127
   KUNZEMUHL E, 1958, CHROMOSOMA, V9, P559
   Laayouni H, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-42
   Levitan M, 2005, BMC EVOL BIOL, V5, DOI 10.1186/1471-2148-5-4
   Levitan M, 2003, EVOL ECOL RES, V5, P597
   Lewontin R.C., 1981, DOBZHANKYS GENETICS
   MENOZZI P, 1992, J EVOLUTION BIOL, V5, P625, DOI 10.1046/j.1420-9101.1992.5040625.x
   Orengo DJ, 1996, EVOLUTION, V50, P1346, DOI [10.2307/2410676, 10.1111/j.1558-5646.1996.tb02376.x]
   Orengo DJ, 2016, ENTOMOL SCI, V19, P215, DOI 10.1111/ens.12189
   Pegueroles C, 2013, HEREDITY, V110, P520, DOI 10.1038/hdy.2012.118
   Pegueroles C, 2016, SCI REP-UK, V6, DOI 10.1038/srep23754
   Pennisi E, 2017, SCIENCE, V357, P1083, DOI 10.1126/science.357.6356.1083
   POWELL J.R., 1997, PROGR PROSPECTS EVOL
   PREVOSTI A, 1985, EVOLUTION, V39, P838, DOI 10.1111/j.1558-5646.1985.tb00425.x
   PREVOSTI A, 1989, EVOLUTIONARY BIOLOGY OF TRANSIENT UNSTABLE POPULATIONS, P114
   PREVOSTI A, 1988, P NATL ACAD SCI USA, V85, P5597, DOI 10.1073/pnas.85.15.5597
   Rane RV, 2015, MOL ECOL, V24, P2423, DOI 10.1111/mec.13161
   Rego C, 2010, EVOLUTION, V64, P385, DOI 10.1111/j.1558-5646.2009.00835.x
   Rezende EL, 2010, CLIM RES, V43, P103, DOI 10.3354/cr00869
   Rodríguez-Trelles F, 1998, EVOL ECOL, V12, P829, DOI 10.1023/A:1006546616462
   Rodríguez-Trelles F, 2013, BIOL LETTERS, V9, DOI 10.1098/rsbl.2013.0228
   Santos M, 2005, AM NAT, V165, P258, DOI 10.1086/427093
   Savkovic V, 2004, J ZOOL SYST EVOL RES, V42, P208, DOI 10.1111/j.1439-0469.2004.00273.x
   Solé E, 2002, EVOLUTION, V56, P830, DOI 10.1111/j.0014-3820.2002.tb01393.x
   Sperlich D., 1986, Genetics and Biology of Drosophila, V3e, P257
   Sturtevant AH, 1921, P NATL ACAD SCI USA, V7, P235, DOI 10.1073/pnas.7.8.235
   Umina PA, 2005, SCIENCE, V308, P691, DOI 10.1126/science.1109523
   van Heerwaarden B, 2007, CURR BIOL, V17, pR16, DOI 10.1016/j.cub.2006.11.035
   Zivanovic G, 2016, J EVOLUTION BIOL, V29, P657, DOI 10.1111/jeb.12800
   Zivanovic G, 2015, J GENET, V94, P343, DOI 10.1007/s12041-015-0523-z
   Zivanovic G, 2014, GENOME, V57, P481, DOI 10.1139/gen-2014-0149
   Zivanovic G, 2012, ISR J ECOL EVOL, V58, P289, DOI 10.1560/IJEE.58.4.289
   Zivanovic G, 2011, GENET MOL BIOL, V34, P489, DOI 10.1590/S1415-47572011000300020
   Zivanovic G, 2010, HEREDITAS, V147, P70, DOI 10.1111/j.1601-5223.2009.02163.x
NR 56
TC 13
Z9 13
U1 0
U2 5
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0016-6707
EI 1573-6857
J9 GENETICA
JI Genetica
PD OCT
PY 2018
VL 146
IS 4-5
BP 433
EP 441
DI 10.1007/s10709-018-0035-x
PG 9
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA GV8RU
UT WOS:000446413800010
PM 30151609
DA 2025-01-10
ER

PT J
AU Gustafson, DI
   Jones, JW
   Porter, CH
   Hyman, G
   Edgerton, MD
   Gocken, T
   Shryock, J
   Doane, M
   Budreski, K
   Stone, C
   Healy, D
   Ramsey, N
AF Gustafson, David I.
   Jones, James W.
   Porter, Cheryl H.
   Hyman, Glenn
   Edgerton, Michael D.
   Gocken, Tom
   Shryock, Jereme
   Doane, Michael
   Budreski, Katie
   Stone, Chris
   Healy, David
   Ramsey, Nathan
TI Climate adaptation imperatives: untapped global maize yield
   opportunities
SO INTERNATIONAL JOURNAL OF AGRICULTURAL SUSTAINABILITY
LA English
DT Article
DE climate change; food security; nutrition security; sustainable
   intensification
ID FOOD SECURITY; CORN YIELD; INTENSIFICATION; EFFICIENCY; NUTRIENT; GAPS
AB Climate change represents an unavoidable and growing challenge to food security, imposing new adaptation imperatives on all farmers. Maize is arguably the world's most productive grain crop, as measured by grain yield. However, maize yields vary dramatically due to many factors, including soils, climate, pests, disease, agronomic practices, and seed quality. The difference between observed yields and those achievable by optimized crop production methods is called the yield gap. In this work we quantified the current yield gap for 44 countries through the use of a large private-sector data set recently made available to the crop modelling community. The yield gap was quantified for three groups of countries, categorized by level of intensification. Observed yield gaps for high, medium, and low levels of intensification are 23%, 46%, and 68%, respectively. If all maize production countries were able to shrink their yield gap to 16.5% (as in the USA) an additional 335 million metric tons (MMT) of maize grain would be produced. This represents a 45% increase over the 741 MMT produced by these countries in 2010. These data demonstrate that a major untapped maize yield opportunity exists, especially in those countries where intensification has not kept pace with the rest of the world.
C1 [Gustafson, David I.] Int Life Sci Inst Res Fdn, CIMSANS, Washington, DC 20005 USA.
   [Jones, James W.; Porter, Cheryl H.] Univ Florida, Gainesville, FL 32611 USA.
   [Hyman, Glenn] CIAT, Cali, Colombia.
   [Edgerton, Michael D.; Gocken, Tom; Shryock, Jereme; Doane, Michael] Monsanto Co, St Louis, MO 63167 USA.
   [Budreski, Katie; Stone, Chris; Healy, David] Stone Environm Inc, Montpelier, VT 05602 USA.
   [Ramsey, Nathan] Context Network, W Des Moines, IA 50266 USA.
C3 State University System of Florida; University of Florida; Alliance;
   International Center for Tropical Agriculture - CIAT; Monsanto; Stone
   Environmental Inc.
RP Gustafson, DI (corresponding author), Int Life Sci Inst Res Fdn, CIMSANS, 1156 15th St NW,Suite 200, Washington, DC 20005 USA.
EM dgustafson@ilsi.org
RI Porter, Cheryl/AAM-4431-2020; Jones, James/AAP-9048-2020
OI Gustafson, David/0000-0001-6359-7017
CR AgTrials, 2012, GLOB AGR TRIAL REP
   [Anonymous], 2012, USDA NASS IRR RAINF
   [Anonymous], 2011, 25225 EUR EN
   [Anonymous], CLIM CHANG NUTR SEC
   [Anonymous], IFPRI RES MONOGRAPH
   [Anonymous], ICASA VERSION 1 0 DA
   [Anonymous], 2012, USDA PSD DAT
   Bebber DP, 2013, NAT CLIM CHANGE, V3, P985, DOI [10.1038/NCLIMATE1990, 10.1038/nclimate1990]
   Beddington JR, 2012, SCIENCE, V335, P289, DOI 10.1126/science.1217941
   Beddington J.R., 2012, AGR FOOD SECURITY, V1, P10, DOI DOI 10.1186/2048-7010-1-10
   Cassman KG, 1999, P NATL ACAD SCI USA, V96, P5952, DOI 10.1073/pnas.96.11.5952
   CASTLEBERRY RM, 1984, CROP SCI, V24, P33, DOI 10.2135/cropsci1984.0011183X002400010008x
   Cline S A, 2008, INT MODEL POLICY ANA
   Context, 2012, GLOB CROP PROD SYST, P46
   Diffenbaugh NS, 2012, NAT CLIM CHANGE, V2, P514, DOI 10.1038/NCLIMATE1491
   Duvick DN, 2005, ADV AGRON, V86, P83, DOI 10.1016/S0065-2113(05)86002-X
   Dwivedi S, 2013, ADV AGRON, V120, P1, DOI 10.1016/B978-0-12-407686-0.00001-4
   Easterling W, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P273
   Edgerton MD, 2012, NAT BIOTECHNOL, V30, P493, DOI 10.1038/nbt.2259
   Ehrlich PR, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2845
   Ewert F, 2005, AGR ECOSYST ENVIRON, V107, P101, DOI 10.1016/j.agee.2004.12.003
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Foresight, 2011, FIN PROJ REP
   Garnett T, 2013, SCIENCE, V341, P33, DOI 10.1126/science.1234485
   Gustafson D.I., 2013, INT J AGR SUSTAINABI
   Hyman G, 2013, FRONT PHYSIOL, V4, DOI 10.3389/fphys.2013.00040
   Iizumi T, 2013, NAT CLIM CHANGE, V3, P904, DOI [10.1038/NCLIMATE1945, 10.1038/nclimate1945]
   Johnston M, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034028
   Krausmann F, 2013, P NATL ACAD SCI USA, V110, P10324, DOI 10.1073/pnas.1211349110
   Lauer JG, 2012, CROP SCI, V52, P1003, DOI 10.2135/cropsci2011.12.0668
   Licker R, 2010, GLOBAL ECOL BIOGEOGR, V19, P769, DOI 10.1111/j.1466-8238.2010.00563.x
   Liu HL, 2011, NUTR CYCL AGROECOSYS, V89, P313, DOI 10.1007/s10705-010-9396-y
   Liu XY, 2011, AGRON J, V103, P1452, DOI 10.2134/agronj2010.0476
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lobell DB, 2009, ANNU REV ENV RESOUR, V34, P179, DOI 10.1146/annurev.environ.041008.093740
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Mekonnen M.M., 2011, NATL WATER FOOTPRINT
   Monfreda C, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002947
   Mueller N.D., 2012, TAC WA LCA 12
   Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420
   Nelson G., 2010, Food security, farming, and climate change to 2050: Scenarios, results, policy options
   Nelson J, 2009, CLIMATE CHANGE AND GLOBAL POVERTY: A BILLION LIVES IN THE BALANCE, P223
   Neumann K, 2010, AGR SYST, V103, P316, DOI 10.1016/j.agsy.2010.02.004
   Nolan E, 2012, AM J AGR ECON, V94, P1171, DOI 10.1093/ajae/aas069
   Paasche C., 2012, FORTUNE MAGAZINE, P15
   Parry M, 2009, CLIMATE CHANGE: OBSERVED IMPACTS ON PLANET EARTH, pXIII, DOI 10.1016/B978-0-444-53301-2.00027-0
   Ramankutty N, 2002, GLOBAL ECOL BIOGEOGR, V11, P377, DOI 10.1046/j.1466-822x.2002.00294.x
   Ramirez-Villegas J, 2012, AGR FOREST METEOROL, V161, P26, DOI 10.1016/j.agrformet.2012.03.015
   Ray DK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066428
   Richardson AE, 2011, PLANT SOIL, V349, P121, DOI 10.1007/s11104-011-0950-4
   Shrestha R, 2012, FRONT PHYSIOL, V3, DOI 10.3389/fphys.2012.00326
   Stoorvogel J., 2012, CIMSANS ROUND TABL O
   Taheripour F., 2009, 11 GTAP
   Thornton PK, 2010, AGR SYST, V103, P73, DOI 10.1016/j.agsy.2009.09.003
   Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108
   Tomlinson I, 2013, J RURAL STUD, V29, P81, DOI 10.1016/j.jrurstud.2011.09.001
   USDA/NRCS, 2012, SOIL SURV STAFF NAT
   van Wart J, 2013, FIELD CROP RES, V143, P44, DOI 10.1016/j.fcr.2012.11.023
   Vermeulen SJ, 2012, ANNU REV ENV RESOUR, V37, P195, DOI 10.1146/annurev-environ-020411-130608
   Villalobos C., 2012, US JSON RIAK AGMIP
   Waddington SR, 2010, FOOD SECUR, V2, P27, DOI 10.1007/s12571-010-0053-8
   Wani S. P., 2012, BHOOCHETANA MISSION, P84
   Wik, 2008, GLOBAL AGR PERFORMAN
NR 63
TC 14
Z9 14
U1 0
U2 32
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1473-5903
EI 1747-762X
J9 INT J AGR SUSTAIN
JI Int. J. Agric. Sustain.
PY 2014
VL 12
IS 4
BP 471
EP 486
DI 10.1080/14735903.2013.867694
PG 16
WC Agriculture, Multidisciplinary; Green & Sustainable Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Science & Technology - Other Topics
GA AO2GL
UT WOS:000341135700008
DA 2025-01-10
ER

PT J
AU Lomas, KJ
   Li, M
   Drury, P
AF Lomas, K. J.
   Li, M.
   Drury, P.
TI How do energy efficiency measures affect the risk of summertime
   overheating and cold discomfort? Evidence from English homes
SO ENERGY POLICY
LA English
DT Article
DE English homes; Energy efficiency; Summertime overheating; Cold
   discomfort; Temperate climates; Policy implications
ID INDOOR TEMPERATURES; MITIGATION; DWELLINGS; ADAPTATION; RETROFIT; DEATH;
   UK
AB Governments' policies worldwide seek to improve the energy efficiency of housing stocks. In temperate climates, there are concerns that energy efficiency measures increase the risk of summertime overheating. A systematic evidence review screened 311 documents reporting the effect of energy efficiency measures on overheating. The temperatures in 750 English living rooms and bedrooms measured as part of the Energy Follow-up Survey during the hot summer of 2018 were re-analysed. The frequency and intensity with which temperatures exceeded thresholds associated with overheating and cold discomfort were calculated. The re-analysis revealed that energy efficiency measures had the desired effect: they kept rooms significantly warmer, reducing the occurrence of cold discomfort. However, none of the energy efficiency measures examined, nor the overall efficiency of the dwelling, significantly affected the frequency of overheating. In fact, loft and wall insulation may reduce overheating risk in houses. Built form, whether a house or flat, had a significant impact on the frequency of overheating. More work is needed on the risk of overheating in very highly insulated dwellings. It is concluded that policies aimed at improving the energy efficiency of dwellings complement those concerned with climate adaptation.
C1 [Lomas, K. J.; Li, M.; Drury, P.] Loughborough Univ, Sch Architecture Bldg & Civil Engn, Bldg Energy Res Grp, Epinal Way, Loughborough LE11 3TU, Leics, England.
C3 Loughborough University
RP Lomas, KJ (corresponding author), Loughborough Univ, Sch Architecture Bldg & Civil Engn, Bldg Energy Res Grp, Epinal Way, Loughborough LE11 3TU, Leics, England.
EM k.j.lomas@lboro.ac.uk
RI Li, Matthew/AGM-5603-2022
OI Li, Matthew/0000-0002-8581-8586
FU UK Department for Energy Security and Net Zero [PS22100]; UK Department
   of Business Energy and Industrial Strategy [EFUS2017]; UK Engineering
   and Physical Sciences Research Council [EP/ L01517X/1]
FX This research was enabled by the UK Department for Energy Security and
   Net Zero, through contract number PS22100, Overheating in Homes: Further
   Analysis of EFUS Data. The work would not have been possible without the
   previous analysis of the EFUS2017 dataset, work which was funded by the
   UK Department of Business Energy and Industrial Strategy. The initial
   literature review was supported by funding from the UK Engineering and
   Physical Sciences Research Council, Grant ref. EP/ L01517X/1.
CR [Anonymous], 2012, Investigation into Overheating in Homes-Literature Review
   [Anonymous], 2013, CIBSE Tm52, P1, DOI [10.1017/CBO9781107415324.004, DOI 10.1017/CBO9781107415324.004]
   Arup, 2022, Addressing overheating risk in existing UK homes
   Attia S, 2023, ENERG BUILDINGS, V292, DOI 10.1016/j.enbuild.2023.113170
   Baborska-Narozny M, 2016, P I CIVIL ENG-ENG SU, V169, P125, DOI 10.1680/ensu.14.00054
   BEIS, 2023, The Government's standard assessment procedure for energy rating of dwellings, Version 10.2 (11-04-2023)
   BEIS, 2021, Methodology Report: 2017 Energy Follow up Survey
   BEIS, 2021, Energy Follow up Survey: Thermal Comfort, Damp and Ventilation: Final Report
   Bolton P., 2024, Research Briefing
   BOX GEP, 1964, J ROY STAT SOC B, V26, P211, DOI 10.1111/j.2517-6161.1964.tb00553.x
   BPIE, 2015, Indoor air quality, thermal comfort and daylight; Analysis of residential building regulations in eight EU Member States
   BSI, 2019, Thermal Environment, Lighting and Acoustics - Module M1-6. EN 16798-1:2019
   CCC, 2021, Progress in Adapting to Climate Change 2021 Report to Parliament
   CIBSE, 2017, CIBSE TM59: Design Methodology for the Assessment of Overheating Risk in Homes
   CIBSE, 2015, GUID ENV DES
   CIBSE, 1999, Guide A: Environmental Design
   Collins A., 2015, The production of quick scoping reviews and rapid evidence assessments a how to guide
   DCLG, 2010, Code for Sustainable Homes -Technical Guide
   Dengel A., 2012, OVERHEATING NEW HOME
   DLUHC, 2023, GOV.UK, collection, English housing survey, information and Publications on the English housing survey
   Drury P, 2024, The Effect of Energy Efficiency Measures on Overheating in Homes: List of Articles
   Drury P, 2023, Report for the Department for Energy Security and Net Zero, Loughborough University, under Contract Number PS22100
   Ferguson D., 2022, Guardian Feb 19
   Fosas D, 2018, BUILD ENVIRON, V143, P740, DOI 10.1016/j.buildenv.2018.07.033
   George Darren., 2008, SPSS WINDOWS STEP ST
   Gupta R, 2020, ENERGIES, V13, DOI 10.3390/en13195202
   Gupta R, 2019, SCI TECHNOL BUILT EN, V25, P1212, DOI 10.1080/23744731.2019.1623585
   Gupta R, 2012, BUILD ENVIRON, V55, P20, DOI 10.1016/j.buildenv.2012.01.014
   Hajat S, 2014, J EPIDEMIOL COMMUN H, V68, P641, DOI 10.1136/jech-2013-202449
   He J., 2005, P DYNASTEE DYN AN SI
   HMG, 2023, Hot Weather and Health: Guidance and Advice
   HMG, 2021, The Building Regulations 2010, Overheating Approved Document O, Requirement O1: Overheating Mitigation, Regulations: 40B
   HMG, 2021, The Building Regulations 2010, Conservation of Fuel and Power, Approved Document L, V1
   HMSO, 1965, The Building Regulations 1965, Statutory Instruments, Building and Buildings
   Ibrahim A, 2018, BUILD SERV ENG RES T, V39, P161, DOI 10.1177/0143624418754386
   Jang J, 2022, ENERGIES, V15, DOI 10.3390/en15103829
   Ji YC, 2014, BUILD ENVIRON, V77, P1, DOI 10.1016/j.buildenv.2014.03.012
   Johnson Helen, 2005, Health Stat Q, P6
   Lee WV, 2017, BUILD RES INF, V45, P60, DOI 10.1080/09613218.2017.1252614
   Li M., 2023, Report for the Department for Energy Security and Net Zero, Loughborough University, under Contract Number PS22100
   Li M, 2024, NAT ENERGY, V9, P612, DOI 10.1038/s41560-024-01476-z
   Lomas KJ, 2021, BUILD ENVIRON, V201, DOI 10.1016/j.buildenv.2021.107986
   Lomas KJ, 2019, ENERG BUILDINGS, V201, P90, DOI 10.1016/j.enbuild.2019.07.021
   Lomas KJ, 2018, RENEW SUST ENERG REV, V93, P52, DOI 10.1016/j.rser.2018.05.002
   Lomas KJ, 2023, BUILD SERV ENG RES T, V44, P485, DOI 10.1177/01436244231183113
   Lomas KJ, 2021, BUILD CITIES, V2, P487, DOI 10.5334/bc.128
   Mavrogianni A, 2017, BUILD RES INF, V45, P119, DOI 10.1080/09613218.2016.1208431
   Mavrogianni A, 2012, BUILD ENVIRON, V55, P117, DOI 10.1016/j.buildenv.2011.12.003
   McCarthy M, 2019, WEATHER, V74, P390, DOI 10.1002/wea.3628
   McGill G, 2017, BUILD RES INF, V45, P19, DOI 10.1080/09613218.2016.1226610
   McLeod RS, 2013, BUILD ENVIRON, V70, P189, DOI 10.1016/j.buildenv.2013.08.024
   Miles J., 2001, Applying Regression and correlation: A guide For Students and Researchers
   Mitchell R, 2019, BUILD SERV ENG RES T, V40, P446, DOI 10.1177/0143624419842006
   Morgan C, 2017, BUILD RES INF, V45, P143, DOI 10.1080/09613218.2017.1241472
   Mulville M, 2016, BUILD RES INF, V44, P520, DOI 10.1080/09613218.2016.1153355
   NHS, 2022, Heatwave: How to Cope in Hot Weather
   ONS, 2023, Number of Dwellings by Housing Characteristics in England and Wales
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Petrou G, 2019, BUILD SERV ENG RES T, V40, P492, DOI 10.1177/0143624419847621
   PHE, 2018, PHE Heatwave Mortality Monitoring
   PHI, 2015, Passive House Requirements
   Porritt SM, 2012, ENERG BUILDINGS, V55, P16, DOI 10.1016/j.enbuild.2012.01.043
   Roberts B, 2019, BUILD SERV ENG RES T, V40, P512, DOI 10.1177/0143624419847349
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Schünemann C, 2020, BUILD CITIES, V1, P36, DOI 10.5334/bc.12
   Taylor J, 2023, BUILD ENVIRON, V234, DOI 10.1016/j.buildenv.2023.110154
   Taylor J, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9050190
   Tink V, 2018, BUILD ENVIRON, V141, P247, DOI 10.1016/j.buildenv.2018.05.062
   Vandentorren S, 2006, EUR J PUBLIC HEALTH, V16, P583, DOI 10.1093/eurpub/ckl063
   Wiley, Grading of Recommendations Assessment, Development and Evaluation (GRADE)
NR 70
TC 2
Z9 2
U1 2
U2 3
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0301-4215
EI 1873-6777
J9 ENERG POLICY
JI Energy Policy
PD MAY
PY 2024
VL 188
AR 114108
DI 10.1016/j.enpol.2024.114108
EA APR 2024
PG 15
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 RC1L1
UT WOS:001225380100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Tham-Agyekum, EK
   Ntem, S
   Sarbah, E
   Anno-Baah, K
   Asiedu, P
   Bakang, JEA
   Jones, EO
AF Tham-Agyekum, Enoch Kwame
   Ntem, Supernatural
   Sarbah, Evans
   Anno-Baah, Katja
   Asiedu, Prince
   Bakang, John-Eudes Andivi
   Jones, Ebenezer Osei
TI Resilience against climate variability: The application of nature based
   solutions by cocoa farmers in Ghana
SO ENVIRONMENTAL AND SUSTAINABILITY INDICATORS
LA English
DT Article
DE Adaptive capacity; Climate adaptation; Climate variability; Nature based
   solutions; Resilience; Vulnerability
ID ADAPTATION STRATEGIES; LEVEL ADAPTATION; AGROFORESTRY; OPPORTUNITIES;
   CHALLENGES; MANAGEMENT; DROUGHT; LANDSCAPES; BANGLADESH; ADOPTION
AB This study delves into the crucial intersection of climate resilience and sustainable agriculture by investigating the application of nature-based solutions (NBS) as adaptive strategies employed by cocoa farmers in Ghana. A total sample of 381 cocoa farmers were selected using the multi-stage sampling technique. Farmers perceive notable changes (increase) in amount of rainfall, degree of temperature and number of rainy days. While the planting of shade trees is adopted by majority of the cocoa farmers to fight climate variability, they also perceive it to be the most effective. Factors that influence cocoa farmers' extent of adopting nature-based solutions are religion, age, years of formal education, land ownership, access to climate information, farm size and income. Climate variability (temperature, rainfall, wind) makes cocoa farmers vulnerable by affecting their social, financial and physical capitals. Nature based solutions (planting shade trees, climate-resilient varieties, early warning systems, knowledge sharing and efficient water management) increase cocoa farmers' resilience against climate variability. Ultimately, the study's outcomes hold implications for both local and global efforts to enhance agricultural resilience and secure livelihoods in an era of climate uncertainty.
C1 [Tham-Agyekum, Enoch Kwame; Ntem, Supernatural; Sarbah, Evans; Anno-Baah, Katja; Bakang, John-Eudes Andivi] KNUST, Dept Agr Econ Agribusiness & Extens, Kumasi, Ghana.
   [Asiedu, Prince] Univ Passau, Dev Econ, Passau, Germany.
   [Jones, Ebenezer Osei] AAMUSTED, Dept Agr Econ & Extens Educ, Mampong, Ghana.
C3 Kwame Nkrumah University Science & Technology; University of Passau
RP Tham-Agyekum, EK (corresponding author), KNUST, Dept Agr Econ Agribusiness & Extens, Kumasi, Ghana.
EM ektagyekum@knust.edu.gh
OI Tham-Agyekum, Enoch Kwame/0000-0003-1657-1409
CR Acheampong K., 2010, PhD thesis.
   Acquah H. de G., 2011, AGRIS On-line Papers in Economics and Informatics, P31
   Acquah H. de G., 2011, Journal of Sustainable Development in Africa, V13, P150
   Agbongiarhuoyi AE, 2013, J AGRIC EXT, V17, P10, DOI 10.4314/jae.v17i1.2
   Ahmed A, 2016, ENVIRON DEV, V20, P45, DOI 10.1016/j.envdev.2016.08.002
   Akrofi-Atitianti F, 2018, LAND-BASEL, V7, DOI 10.3390/land7010030
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   Ameyaw LK, 2018, FORESTS, V9, DOI 10.3390/f9120742
   Anim-Kwapong G.J., 2008, Ghana Climate Change Impacts, Vulnerability and Adaptation Assessments under the Netherlands Climate Assistance Programme (NCAP), P263
   Anley Y, 2007, LAND DEGRAD DEV, V18, P289, DOI 10.1002/ldr.775
   [Anonymous], 2012, ARPN Journal of Science and Technology.
   [Anonymous], 2014, Res Appl Econ, DOI [10.5296/rae.v6i4.5977, DOI 10.5296/RAE.V6I4.5977]
   [Anonymous], 2001, P 13 INT COCOA RES C
   Antwi-Agyei P, 2015, CLIM DEV, V7, P297, DOI 10.1080/17565529.2014.951013
   Asaaga FA, 2020, WORLD DEV, V130, DOI 10.1016/j.worlddev.2020.104913
   Asare R.A., 2018, Understanding and defining climate-smart cocoa: extension, inputs, yields, and farming practices
   Asare R, 2014, AGROFOREST SYST, V88, P1143, DOI 10.1007/s10457-014-9688-3
   Atinkut B., 2016, ENV SYST RES, V5, P1, DOI [10.1186/s40068-015-0046-x, DOI 10.1186/S40068-015-0046-X]
   Ayenor G. K., 2007, International Journal of Tropical Insect Science, V27, P85, DOI 10.1017/S1742758407780840
   Blaser WJ, 2018, NAT SUSTAIN, V1, P234, DOI 10.1038/s41893-018-0062-8
   Carr MKV, 2011, EXP AGR, V47, P27, DOI 10.1017/S0014479710000931
   Cerda R, 2014, AGROFOREST SYST, V88, P957, DOI 10.1007/s10457-014-9691-8
   Clayton S., 2015, Conservation Psychology.
   Cobbinah P. B, 2019, The geography of climate change adaptation in urban Africa, P89, DOI 10.1007/978-3-030-04873-0_4
   Codjoe F. N. Y., 2013, Journal of Biology, Agriculture and Healthcare, V3, P19
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   Dai AG, 2011, WIRES CLIM CHANGE, V2, P45, DOI 10.1002/wcc.81
   Datzman B., 2011, A Dissertation Submitted to the College of Arts and Law of the University of Birmingham
   De Pinto A., 2012, CLIMATE CHANGE AGR F
   Denkyirah EK, 2017, COGENT FOOD AGR, V3, DOI 10.1080/23311932.2017.1334296
   Deressa TT, 2008, Discussion paper 00798
   DeVellis RF., 2016, Scale development: theory and applications, V26
   Dohmen M.M., 2018, Climatesmart Agriculture in Cocoa; A Training Manual for Field Officers
   Dolisca F, 2006, FOREST ECOL MANAG, V236, P324, DOI 10.1016/j.foreco.2006.09.017
   Dumenu W.K., 2020, Clim. Dev., V12, P604
   Ehiakpor Dennis Sedem, 2016, Cogent Food & Agriculture, V2, DOI 10.1080/23311932.2016.1210557
   Fikiru Temesgen Fikiru Temesgen, 2017, African Journal of Agricultural Research, V12, P2830, DOI 10.5897/ajar2017.12605
   Gandure S, 2013, ENVIRON DEV, V5, P39, DOI 10.1016/j.envdev.2012.11.004
   Gateau-Rey L, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0200454
   Gifford R, 2014, INT J PSYCHOL, V49, P141, DOI 10.1002/ijop.12034
   Greene A.M., 2011, Eos, Transactions American Geophysical Union, V92, P397, DOI DOI 10.1029/2011EO450001
   Gutu Tesso Gutu Tesso, 2012, Agricultural Sciences, V3, P871, DOI 10.4236/as.2012.36106
   Gyau A, 2014, AGROFOREST SYST, V88, P1035, DOI 10.1007/s10457-014-9677-6
   Halder P, 2012, REG ENVIRON CHANGE, V12, P665, DOI 10.1007/s10113-012-0281-x
   Harvey CA, 2014, CONSERV LETT, V7, P77, DOI 10.1111/conl.12066
   Hirons M, 2018, J RURAL STUD, V63, P120, DOI 10.1016/j.jrurstud.2018.08.010
   IACC, 2022, What are nature-based solutions to climate change?
   Ji-wei Z., 2013, Econ. Surv.
   Kabir MJ, 2017, LAND USE POLICY, V64, P212, DOI 10.1016/j.landusepol.2017.02.026
   Kangogo D., 2020, 1, 6706 KN Wageningen, The Netherlands, Sustainability 2020. Determinants of Farm Resilience to Climate Change: the Role of Farmer Entrepreneurship and Value Chain Collaborations, V12, P868, DOI [10.3390/su12030868,3, DOI 10.3390/SU12030868,3]
   Keil A, 2008, CLIMATIC CHANGE, V86, P291, DOI 10.1007/s10584-007-9326-4
   Kosoe EA, 2022, CLIM SERV, V26, DOI 10.1016/j.cliser.2022.100289
   Läderach P, 2013, CLIMATIC CHANGE, V119, P841, DOI 10.1007/s10584-013-0774-8
   Maddison D, 2006, 10 CEEPA U PRET
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Medina V., 2017, A review of research on the effects of drought and temperature stress and increased CO2 on Theobroma cacao L., and the role of genetic diversity to address climate change
   Mendelsohn R, 2009, NEW HORIZ ENVIRON EC, P1
   Milestad R, 2003, J SUSTAIN AGR, V22, P81, DOI 10.1300/J064v22n03_09
   MOKHLIS S., 2009, J INT MANAGEMENT STU, V4, P67
   Naab FZ, 2019, CLIM SERV, V13, P24, DOI 10.1016/j.cliser.2019.01.007
   Nicklin S., 2012, CLIMATE EXCHANGE
   Niether W, 2018, ANN FOREST SCI, V75, DOI 10.1007/s13595-018-0723-9
   Okoffo E.D., 2016, Environmental Systems Research, V5, P17, DOI [10.1186/s40068-016-0068-z, DOI 10.1186/S40068-016-0068-Z]
   Oluwatusin F.M., 2014, Acad. J. Interdiscip. Stud, V3, P147, DOI [DOI 10.5901/AJIS.2014.V3N1P147, 10.5901/ajis.2014.v3n1p147]
   Saunders M., 2007, RES METHODS BUSINESS
   Schneidewind U, 2019, EXP AGR, V55, P452, DOI 10.1017/S001447971800011X
   Schroth G, 2016, SCI TOTAL ENVIRON, V556, P231, DOI 10.1016/j.scitotenv.2016.03.024
   Solomon A, 2011, B AM METEOROL SOC, V92, P141, DOI 10.1175/2010BAMS2962.1
   Suka M, 2017, ENVIRON HEALTH PREV, V22, DOI 10.1186/s12199-017-0676-x
   Tizale C.Y., 2007, Ph.D. Thesis
   Tscharntke T, 2011, J APPL ECOL, V48, P619, DOI 10.1111/j.1365-2664.2010.01939.x
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   Vaast P., 2018, Achieving Sustainable Cultivation of Cocoa, V2, P1
   Vermeulen SJ, 2012, ANNU REV ENV RESOUR, V37, P195, DOI 10.1146/annurev-environ-020411-130608
   Wainaina P, 2016, AGR ECON-BLACKWELL, V47, P351, DOI 10.1111/agec.12235
   Whitmarsh L., 2018, Psychology and climate change, P13, DOI [DOI 10.1016/B978-0-12-813130-5.00002-3, 10.1016/b978-0-12813130-5.00002-3, DOI 10.1016/B978-0-12813130-5.00002-3]
   Yang HX, 2021, LAND-BASEL, V10, DOI 10.3390/land10050532
NR 77
TC 1
Z9 1
U1 4
U2 9
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 100310
DI 10.1016/j.indic.2023.100310
EA NOV 2023
PG 12
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA Z1YO3
UT WOS:001110107900001
OA gold
DA 2025-01-10
ER

PT J
AU Viejo, M
   Tengs, T
   Yakovlev, I
   Cross, H
   Krokene, P
   Olsen, JE
   Fossdal, CG
AF Viejo, Marcos
   Tengs, Torstein
   Yakovlev, Igor
   Cross, Hugh
   Krokene, Paal
   Olsen, Jorunn E.
   Fossdal, Carl Gunnar
TI Epitype-inducing temperatures drive DNA methylation changes during
   somatic embryogenesis in the long-lived gymnosperm Norway spruce
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE embryogenesis; DNA methylation; epigenetic memory; epigenetic machinery;
   spruce
ID EPIGENETIC MEMORY; HISTONE MODIFICATIONS; PICEA-ABIES; H3 LYSINE-9; CELL
   FATE; ARABIDOPSIS; TRANSCRIPTION; EXPRESSION; METHYLOME; SEQUENCE
AB An epigenetic memory of the temperature sum experienced during embryogenesis is part of the climatic adaptation strategy of the long-lived gymnosperm Norway spruce. This memory has a lasting effect on the timing of bud phenology and frost tolerance in the resulting epitype trees. The epigenetic memory is well characterized phenotypically and at the transcriptome level, but to what extent DNA methylation changes are involved have not previously been determined. To address this, we analyzed somatic epitype embryos of Norway spruce clones produced at contrasting epitype-inducing conditions (18 and 28 & DEG;C). We screened for differential DNA methylation in 2744 genes related mainly to the epigenetic machinery, circadian clock, and phenology. Of these genes, 68% displayed differential DNA methylation patterns between contrasting epitype embryos in at least one methylation context (CpG, CHG, CHH). Several genes related to the epigenetic machinery (e.g., DNA methyltransferases, ARGONAUTE) and the control of bud phenology (FTL genes) were differentially methylated. This indicates that the epitype-inducing temperature conditions induce an epigenetic memory involving specific DNA methylation changes in Norway spruce.
C1 [Viejo, Marcos; Tengs, Torstein; Yakovlev, Igor; Cross, Hugh; Krokene, Paal; Fossdal, Carl Gunnar] Norwegian Inst Bioecon Res, Dept Mol Plant Biol, As, Norway.
   [Viejo, Marcos; Olsen, Jorunn E.] Norwegian Univ Life Sci, Fac Biosci, Dept Plant Sci, As, Norway.
   [Viejo, Marcos] Univ Santiago De Compostela, Dept Funct Biol, Santiago De Compostela, Spain.
   [Tengs, Torstein] Norwegian Inst Food, Dept Breeding & Genet, Fisheries & Aquaculture Res NOFIMA, As, Norway.
   [Cross, Hugh] Natl Ecol Observ Network, Dept Sci, Boulder, CO USA.
C3 Norwegian Institute of Bioeconomy Research; Norwegian University of Life
   Sciences; Universidade de Santiago de Compostela; Nofima
RP Viejo, M (corresponding author), Norwegian Inst Bioecon Res, Dept Mol Plant Biol, As, Norway.; Viejo, M (corresponding author), Norwegian Univ Life Sci, Fac Biosci, Dept Plant Sci, As, Norway.; Viejo, M (corresponding author), Univ Santiago De Compostela, Dept Funct Biol, Santiago De Compostela, Spain.
EM marcos.viejo@usc.es
RI Viejo, Marcos/AAD-9776-2019; Yakovlev, Igor/AAO-1314-2020; Krokene,
   Paal/A-1835-2008; Fossdal, Carl Gunnar/C-5536-2008
OI Viejo, Marcos/0000-0003-4425-1306; Olsen, Jorunn
   Elisabeth/0000-0002-3380-3091
CR Alonso C, 2015, FRONT GENET, V6, DOI 10.3389/fgene.2015.00004
   Asante DKA, 2011, PLANT CELL ENVIRON, V34, P332, DOI 10.1111/j.1365-3040.2010.02247.x
   Ausin I, 2016, P NATL ACAD SCI USA, V113, pE8106, DOI 10.1073/pnas.1618019113
   Bewick AJ, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1195-1
   Bewick AJ, 2017, CURR OPIN PLANT BIOL, V36, P103, DOI 10.1016/j.pbi.2016.12.007
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Bräutigam K, 2013, ECOL EVOL, V3, P399, DOI 10.1002/ece3.461
   Cao XW, 2015, PLANT PHYSIOL, V168, P1189, DOI 10.1104/pp.15.00230
   Carneros E, 2017, PLANTA, V246, P553, DOI 10.1007/s00425-017-2713-9
   Cheng ZJ, 2014, PLANT CELL, V26, P1053, DOI 10.1105/tpc.113.121566
   Chiang CM, 2021, FORESTS, V12, DOI 10.3390/f12030337
   Chinnusamy V, 2009, SCI CHINA SER C, V52, P331, DOI 10.1007/s11427-009-0052-1
   Chinnusamy V, 2009, CURR OPIN PLANT BIOL, V12, P133, DOI 10.1016/j.pbi.2008.12.006
   Conesa Ana, 2008, Int J Plant Genomics, V2008, P619832, DOI 10.1155/2008/619832
   Ebbs ML, 2006, PLANT CELL, V18, P1166, DOI 10.1105/tpc.106.041400
   Ekberg I., 1979, Ecography, V2, P255, DOI [DOI 10.1111/J.1600-0587.1979.TB01297.X, 10.1111/j.1600-0587.1979.tb01297.x]
   Gutzat R, 2020, EMBO J, V39, DOI 10.15252/embj.2019103667
   Gyllenstrand N, 2007, PLANT PHYSIOL, V144, P248, DOI 10.1104/pp.107.095802
   Heer K, 2018, ECOL EVOL, V8, P9672, DOI 10.1002/ece3.4374
   Hirsch S, 2012, Cold Spring Harb Symp Quant Biol, V77, P97, DOI 10.1101/sqb.2013.77.014605
   Holefors A, 2009, PLANT PHYSIOL BIOCH, V47, P105, DOI 10.1016/j.plaphy.2008.11.003
   Jasencakova Z, 2003, PLANT J, V33, P471, DOI 10.1046/j.1365-313X.2003.01638.x
   Johansson M, 2014, J EXP BOT, V65, P5811, DOI 10.1093/jxb/eru317
   Johnsen O, 2005, PLANT CELL ENVIRON, V28, P1090, DOI 10.1111/j.1365-3040.2005.01356.x
   Källman T, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095306
   Karlgren A, 2011, PLANT PHYSIOL, V156, P1967, DOI 10.1104/pp.111.176206
   Kawakatsu T, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1251-x
   Krueger F, 2011, BIOINFORMATICS, V27, P1571, DOI 10.1093/bioinformatics/btr167
   Kvaalen H, 2008, NEW PHYTOL, V177, P49, DOI 10.1111/j.1469-8137.2007.02222.x
   Le Gac AL, 2018, J EXP BOT, V69, P4821, DOI 10.1093/jxb/ery271
   Li B, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-323
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Liu XC, 2012, PLANT SIGNAL BEHAV, V7, P633, DOI 10.4161/psb.19994
   López-González L, 2014, PLANT CELL, V26, P3922, DOI 10.1105/tpc.114.130781
   Mayer KFX, 1998, CELL, V95, P805, DOI 10.1016/S0092-8674(00)81703-1
   Miguel C., 2020, SHAPING DEV ENV RESP, DOI [10.1007/978-3-030-35772-6, DOI 10.1007/978-3-030-35772-6]
   Neiderhuth C. E., 2014, BIOCH BIOPHYS ACTA, V15, P34, DOI [10.1016/j.bbagrm.2016.08.009.Putting, DOI 10.1016/J.BBAGRM.2016.08.009.PUTTING]
   Nystedt B, 2013, NATURE, V497, P579, DOI 10.1038/nature12211
   Ohto MA, 2009, SEX PLANT REPROD, V22, P277, DOI 10.1007/s00497-009-0116-1
   Opseth L, 2016, ENVIRON EXP BOT, V121, P121, DOI 10.1016/j.envexpbot.2015.05.016
   Rajkumar MS, 2020, COMMUN BIOL, V3, DOI 10.1038/s42003-020-1059-1
   Seymour DK, 2017, CURR OPIN PLANT BIOL, V36, P56, DOI 10.1016/j.pbi.2017.01.005
   Skroppa T, 2007, CAN J FOREST RES, V37, P515, DOI 10.1139/X06-253
   Skroppa T, 2010, TREE GENET GENOMES, V6, P93, DOI 10.1007/s11295-009-0231-z
   Soppe WJJ, 2002, EMBO J, V21, P6549, DOI 10.1093/emboj/cdf657
   Takuno S, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2015.222, 10.1038/nplants.2015.222]
   Tao Z, 2017, NATURE, V551, P124, DOI 10.1038/nature24300
   Varet H, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0157022
   Wang BQ, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20184478
   Wendt J, 2018, METHODS MOL BIOL, V1708, P383, DOI 10.1007/978-1-4939-7481-8_20
   Würschum T, 2006, PLANT CELL, V18, P295, DOI 10.1105/tpc.105.038398
   Xiao WY, 2006, PLANT CELL, V18, P805, DOI 10.1105/tpc.105.038836
   Yakovlev I, 2012, SEED SCI RES, V22, P63, DOI 10.1017/S0960258511000535
   Yakovlev IA, 2017, FRONT PHYSIOL, V8, DOI 10.3389/fphys.2017.00674
   Yakovlev IA, 2016, PLANTA, V243, P1237, DOI 10.1007/s00425-016-2484-8
   Yakovlev IA, 2014, TREE GENET GENOMES, V10, P355, DOI 10.1007/s11295-013-0691-z
   Zhao XY, 2008, J INTEGR PLANT BIOL, V50, P816, DOI 10.1111/j.1744-7909.2008.00701.x
NR 57
TC 6
Z9 6
U1 5
U2 17
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 JUL 20
PY 2023
VL 14
AR 1196806
DI 10.3389/fpls.2023.1196806
PG 14
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA N9AY5
UT WOS:001039867000001
PM 37546277
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Dunston, HK
AF Dunston, H. K.
TI Wake up all the builders: Fatigue and utopia in Washington Heights
SO FUTURES
LA English
DT Article
DE Urban climate adaptation; Utopia-as-method; Pandemic; Ethics of care;
   Gentrification; Ethnographic Futures Research
ID CLIMATE-CHANGE; ADAPTATION; FUTURES; SCENARIOS; CITY
AB This study explores community leaders' perceptions of the future of Washington Heights and Inwood, in New York City. Taking a modified ethnographic futures research approach, informants were asked to imagine utopian and dystopian futures of Washington Heights in 2050, eliciting their aspirations, fears, and expectations for the neighborhood. In addition, the author observed neighborhood events and Community Board meetings over two years from 2020 to 2022, while also reviewing historical analysis and social media discussions. Through this research, an ethnography of the future of the neighborhood emerged, illustrating informants' expansive visions for more just societies built on care, equity, and the celebration of new ways of being in the world. However, this research also makes clear that future visions cannot be understood independently of the troubled history of the neighborhood as well as its challenging present, which has been steeped in the fear and fatigue of the Covid-19 era and the abyss of inequality that the pandemic exposed. To act on informants' collective aspirations for the neighborhood in 2050 will require imagining the repair of injustices from the past, identifying the traces of repair that exist in the present, and carrying forward those traces toward an emancipatory future.
C1 [Dunston, H. K.] Sch Visual Arts, Prod Design MFA Program, 136 West 21st St, New York, NY 10011 USA.
RP Dunston, HK (corresponding author), Sch Visual Arts, Prod Design MFA Program, 136 West 21st St, New York, NY 10011 USA.
EM hdunston@sva.edu
OI Dunston, Hana/0000-0001-5531-1904
CR Abensour Miguel, 2012, POLITICS IM POSSIBLE, P23
   Abram S, 2017, ANTHROPOLOGIES AND FUTURES: RESEARCHING EMERGING AND UNCERTAIN WORLDS, P61
   Appadurai Arjun., 2013, The Future as a Cultural Fact: Essays on the Global Condition
   Aslam A, 2023, CONTEMP POLIT THEORY, V22, P3, DOI 10.1057/s41296-022-00547-8
   Atwood M.E., 2015, MEDIUM 0804
   Baum H, 2015, PLAN THEORY PRACT, V16, P498, DOI 10.1080/14649357.2015.1071870
   Beck Ulrich., 2016, METAMORPHOSIS WORLD
   Bell W., 1996, The knowledge base of futures studies: Foundations, P28, DOI DOI 10.1016/S0016-3287(96)00043-2
   Bina Oliva., 2021, Planning Theory Practice, Interface, V22, P621, DOI DOI 10.1080/14649357.2021.1956815
   Bina O, 2020, FUTURES, V115, DOI 10.1016/j.futures.2019.102475
   Bloch Ernst., 1988, UTOPIAN FUNCTION ART
   Brysse K, 2013, GLOBAL ENVIRON CHANG, V23, P327, DOI 10.1016/j.gloenvcha.2012.10.008
   Butler J., 2020, VERSOBOOKS 0330
   Butler OctaviaE., 2000, PARABLE SOWER
   Campanella T.J., 2011, Places Journal, DOI [DOI 10.22269/110425, 10.22269/110425]
   CB12M NYC, 2021, CB12M GEN M DEC 2021
   Chakrabarty D, 2009, CRIT INQUIRY, V35, P197, DOI 10.1086/596640
   Chakrabarty Dipesh., 2021, The Climate of History in a Planetary Age
   Charlton James I, 2000, Nothing about us without us: Disability oppression and empowerment
   Cohen D.A., 2018, Climate Justice and the Right to the City
   Cole S, 2001, J AM PLANN ASSOC, V67, P372, DOI 10.1080/01944360108976246
   Colon D., 2021, BIKELASH POWERFUL PO
   Dalton LC, 2001, J AM PLANN ASSOC, V67, P397, DOI 10.1080/01944360108976248
   Domingo A., 2018, FRONT SOCIOL, V3, P20, DOI [10.3389/fsoc.2018.00020, DOI 10.3389/FSOC.2018.00020]
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Flynn A., 2017, MEDIUM 0610
   Friedmann J, 2000, INT J URBAN REGIONAL, V24, P460, DOI 10.1111/1468-2427.00258
   Ghosh Amitav., 2022, The Nutmeg's Curse: Parables for a Planet in Crisis
   Gordin MD, 2010, UTOPIA-DYSTOPIA: CONDITIONS OF HISTORICAL POSSIBILITY, P1
   Gordon HSJ, 2021, POLAR GEOGR, V44, P233, DOI 10.1080/1088937X.2021.1881647
   Gunder M, 2010, PLAN THEOR, V9, P298, DOI 10.1177/1473095210368878
   Halbfinger D.M., 1998, NEW YORK TIMES 0518
   Harvey D, 2008, NEW LEFT REV, P23
   Harvey David., 2000, Spaces of Hope
   Hays T., 1993, LOS ANGELES TIM 1024
   Hoetmer R., 2019, RADICAL URBAN TRANSF
   Hudson A.D., 2017, MEDIUM 0319
   Huq E, 2020, PLAN THEOR, V19, P371, DOI 10.1177/1473095219901290
   Inayatullah S, 1998, FUTURES, V30, P815, DOI 10.1016/S0016-3287(98)00086-X
   Inch A., 2021, PLANNING JUST FUTURE, P1, DOI [10.1080/14649357.2021.1956815, DOI 10.1080/14649357.2021.1956815]
   Jameson F., 2007, VERSO
   Jameson F, 2010, UTOPIA-DYSTOPIA: CONDITIONS OF HISTORICAL POSSIBILITY, P21
   Klinenberg E., 2016, WIRED 1026
   Knight T., 2017, ANTHR FUTURES RES EM
   Latour B., 2018, Down to earth: Politics in the new climatic regime
   Latour B, 2021, CRIT INQUIRY, V47, pS25, DOI 10.1086/711428
   Laurian L., 2021, PLANNING JUST FUTURE, P1, DOI [10.1080/14649357.2021.1956815, DOI 10.1080/14649357.2021.1956815]
   Le Guin Ursula K., 2019, A non-Euclidean view of California as a cold place to be. Always Coming Home
   Levitas R, 2013, UTOPIA AS METHOD: THE IMAGINARY RECONSTITUTION OF SOCIETY, P1, DOI 10.1057/9781137314253
   Levitas R., 2017, Where there is no vision, the people perish: A utopian ethic for a transformed future
   Lorenzini D, 2021, CRIT INQUIRY, V47, pS40, DOI 10.1086/711432
   Lorenzini D, 2020, RADICAL PHILOS, P27
   Lowdon M., 2010, WORLD FUTURE REV, V2, P19, DOI DOI 10.1177/194675671000200404
   Massing M., 1989, NEW YORK TIMES 1001
   McShane Larry, 1992, ASS PRESS 0707
   Melvin Harold, 1975, WAKE EVERYBODY
   Miraftab F., 2017, ROUTLEDGE HDB PLANNI, DOI [10.4324/9781315696072, DOI 10.4324/9781315696072]
   Morton Timothy., 2012, The Ecological Thought
   Nandy A, 1996, FUTURES, V28, P636, DOI 10.1016/0016-3287(96)84465-X
   Natcher DC, 2007, ARCTIC ANTHROPOL, V44, P113, DOI 10.1353/arc.2011.0099
   New York City Council, 2018, INW REZ
   New York City Department of City Planning, 2021, NET CHANG HOUS UN 20
   New York City Police Department, 2023, COMPSTAT REP
   NYC Department of Health, 2022, COVID 19 DAT NEIGHB
   NYC Department of Transportation, 2021, NYC STREETS PLAN
   NYC Economic Development Corporation, 2018, NEW YORKERS THE 0405
   Oomen J, 2022, EUR J SOC THEORY, V25, P252, DOI 10.1177/1368431020988826
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Polak Frederik., 1973, IMAGE FUTURE
   Ratcliffe J, 2011, FUTURES, V43, P642, DOI 10.1016/j.futures.2011.05.005
   Rayner S, 2016, ANTHROPOL TODAY, V32, P1, DOI 10.1111/1467-8322.12263
   Revi A., 2018, SUMMARY URBAN POLICY, DOI DOI 10.24943/SCPM.2018
   Robinson KS, 2016, UTOPIAN STUD, V27, P2
   Robinson KimStanley., 2017, NEW YORK 2140
   Roitman J.L., 2014, ANTICRISIS
   Rounsevell MDA, 2010, WIRES CLIM CHANGE, V1, P606, DOI 10.1002/wcc.63
   Rowell L.L., 2017, The Palgrave international handbook of action research
   Roy A., 2020, FINANC TIMES
   Sardar Z., 2003, ISLAM POSTMODERNISM
   Schwanen T, 2021, NAT ENERGY, V6, P685, DOI 10.1038/s41560-021-00856-z
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Shyyan V., 2009, WORLD FUTURE REV, DOI [10.1177/194675670900100604?icid=int.sj-abstract.similar-articles.1, DOI 10.1177/194675670900100604?ICID=INT.SJ-ABSTRACT.SIMILAR-ARTICLES.1]
   Sjöberg J, 2017, ANTHROPOLOGIES AND FUTURES: RESEARCHING EMERGING AND UNCERTAIN WORLDS, P171
   Snyder RobertW., 2015, CROSSING BROADWAY WA
   Springett J., 2019, THE JAYMO OCT
   Steffen W, 2007, AMBIO, V36, P614, DOI 10.1579/0044-7447(2007)36[614:TAAHNO]2.0.CO;2
   Stengers I., 2015, CATASTROPHIC TIMES R
   Stephens T., 2022, WE ARE WHAT WE NURTU
   Swyngedouw E, 2010, THEOR CULT SOC, V27, P213, DOI 10.1177/0263276409358728
   Terranova F., 2019, ICARUS FILMS
   Textor R. B., 1980, RES PRACTICING ANTHR, P21
   Textor R.B., 1980, HDB ETHNOGRAPHIC FUT, V3rd
   TEXTOR RB, 1995, FUTURES, V27, P461, DOI 10.1016/0016-3287(95)00011-K
   Textor RobertB., 1989, ANTHR NEWS, V30, P1, DOI DOI 10.1111/AN.1989.30.8.1.1
   Törnroth S, 2022, FUTURES, V139, DOI 10.1016/j.futures.2022.102938
   Tronto J., 2014, BOSTON REV 0710
   Tronto JoanC., 2013, CARING DEMOCRACY MAR, DOI DOI 10.1111/PHC3.12819
   Tyszczuk R, 2018, CURR OPIN ENV SUST, V31, P56, DOI 10.1016/j.cosust.2017.12.007
   U.S. Census Bureau, 2020, AM COMMUNITY SURVEY
   Urry J, 2006, SOCIOL REV, V54, P17, DOI 10.1111/j.1467-954X.2006.00635.x
   Vince Vince Gaia. Gaia., 2022, Nomad Century: How Climate Migration Will Reshape Our World, VFirst First
   Wild K, 2018, MOBILITIES-UK, V13, P505, DOI 10.1080/17450101.2017.1408950
   Williams Rhys, 2018, Los Angeles Review of BooksMarch 10
   Willow Anna J., 2021, Anthropology and Humanism, V46, P4, DOI [10.1111/anhu.12309, DOI 10.1111/ANHU.12309]
   Zografos C, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102613
NR 106
TC 1
Z9 1
U1 1
U2 3
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0016-3287
EI 1873-6378
J9 FUTURES
JI Futures
PD SEP
PY 2023
VL 152
AR 103216
DI 10.1016/j.futures.2023.103216
EA JUL 2023
PG 13
WC Economics; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Business & Economics; Public Administration
GA O5DN6
UT WOS:001044016500001
DA 2025-01-10
ER

PT J
AU Liu, SX
   Liu, XH
   Zhang, XM
   Chang, SJ
   Ma, C
   Qin, F
AF Liu, Shengxue
   Liu, Xiaohu
   Zhang, Xiaomin
   Chang, Shujie
   Ma, Chao
   Qin, Feng
TI Co-Expression of <i>ZmVPP1</i> with <i>ZmNAC111</i> Confers Robust
   Drought Resistance in Maize
SO GENES
LA English
DT Article
DE maize; drought resistance; gene expression; transgenic
ID ANTIOXIDANT SYSTEM; CROP PLANTS; TOLERANCE
AB Drought is a primary environmental factor limiting maize production globally. Although transferring a single gene to maize can enhance drought resistance, maize response to water deficit requires further improvement to accommodate the steadily intensifying drought events worldwide. Here, we generated dual transgene lines simultaneously overexpressing two drought-resistant genes, ZmVPP1 (encoding a vacuolar-type H+ pyrophosphatase) and ZmNAC111 (encoding a NAM, ATAF, and CUC (NAC)-type transcription factor). Following drought stress, survival rates of the pyramided transgenic seedlings reached 62-66%, while wild-type and single transgene seedling survival rates were 23% and 37-42%, respectively. Maize seedlings co-expressing ZmVPP1 and ZmNAC111 exhibited higher photosynthesis rates, antioxidant enzyme activities, and root-shoot ratios than the wild type, and anthesis-silking intervals were shorter while grain yields were higher under water deficit conditions in field trials. Additionally, RNA-sequencing analysis confirmed that photosynthesis and stress-related metabolic processes were stimulated in the dual transgene plants under drought conditions. The findings in this work illustrate how high co-expression of different drought-related genes can reinforce drought resistance over that of individual transgene lines, providing a path for developing arid climate-adapted elite maize varieties.
C1 [Liu, Shengxue; Liu, Xiaohu; Chang, Shujie; Ma, Chao; Qin, Feng] China Agr Univ, Coll Biol Sci, Beijing 100193, Peoples R China.
   [Zhang, Xiaomin] Henan Univ, Sch Life Sci, State Key Lab Crop Stress Adaptat & Improvement, Kaifeng 475004, Peoples R China.
C3 China Agricultural University; Henan University
RP Qin, F (corresponding author), China Agr Univ, Coll Biol Sci, Beijing 100193, Peoples R China.
EM qinfeng@cau.edu.cn
RI zhang, xiaomin/IQX-1078-2023; Qin, Feng/JCO-0179-2023
OI liu, shengxue/0000-0003-1273-9438; Zhang, Xiaomin/0000-0001-7197-9197
CR Ahluwalia O, 2021, RESOUR ENVIRON SUST, V5, DOI 10.1016/j.resenv.2021.100032
   Bhat MA, 2021, PHYSIOL PLANTARUM, V172, P1255, DOI 10.1111/ppl.13359
   Cattivelli L, 2008, FIELD CROP RES, V105, P1, DOI 10.1016/j.fcr.2007.07.004
   Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
   Ding SC, 2019, GENES-BASEL, V10, DOI 10.3390/genes10080610
   Du Z, 2010, NUCLEIC ACIDS RES, V38, pW64, DOI 10.1093/nar/gkq310
   Gahlaut V, 2016, THEOR APPL GENET, V129, P2019, DOI 10.1007/s00122-016-2794-z
   Gao CX, 2015, NATL SCI REV, V2, P13, DOI 10.1093/nsr/nwu054
   Gao HJ, 2022, MOL PLANT, V15, P1558, DOI 10.1016/j.molp.2022.08.009
   Hu HH, 2014, ANNU REV PLANT BIOL, V65, P715, DOI 10.1146/annurev-arplant-050213-040000
   Jia YY, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10040533
   Liao Y, 2014, BIOINFORMATICS, V30, P923, DOI 10.1093/bioinformatics/btt656
   Liu JJ, 2013, PLANT PHYSIOL BIOCH, V73, P114, DOI 10.1016/j.plaphy.2013.09.006
   Liu SX, 2021, MOL BREEDING, V41, DOI 10.1007/s11032-020-01194-w
   Liu SX, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-02069-1
   Liu SX, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003790
   Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
   Lu FZ, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.851531
   Luo ZS, 2015, SCI HORTIC-AMSTERDAM, V183, P144, DOI 10.1016/j.scienta.2014.12.021
   Lynch JP, 2015, J EXP BOT, V66, P2199, DOI 10.1093/jxb/eru508
   Mao HD, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9326
   Martínez-Vilalta J, 2017, PLANT CELL ENVIRON, V40, P962, DOI 10.1111/pce.12846
   Okamoto M, 2013, P NATL ACAD SCI USA, V110, P12132, DOI 10.1073/pnas.1305919110
   Oszvald M, 2018, PLANT PHYSIOL, V176, P2623, DOI 10.1104/pp.17.01673
   Papanatsiou M, 2019, SCIENCE, V363, P1456, DOI 10.1126/science.aaw0046
   Ribaut JM, 2007, J EXP BOT, V58, P351, DOI 10.1093/jxb/erl214
   Song XY, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137218
   Tardieu F, 2018, ANNU REV PLANT BIOL, V69, P733, DOI 10.1146/annurev-arplant-042817-040218
   Tester M, 2010, SCIENCE, V327, P818, DOI 10.1126/science.1183700
   Nguyen TX, 2013, INT J AGRON, V2013, DOI 10.1155/2013/598163
   Wang BM, 2019, BMC PLANT BIOL, V19, DOI 10.1186/s12870-019-1941-5
   Wang CX, 2019, PLANT J, V98, P71, DOI 10.1111/tpj.14200
   Wang HW, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01110
   Wang XL, 2016, NAT GENET, V48, P1233, DOI 10.1038/ng.3636
   Wei AY, 2011, PLANT BIOTECHNOL J, V9, P216, DOI 10.1111/j.1467-7652.2010.00548.x
   Xiang YL, 2017, MOL PLANT, V10, P456, DOI 10.1016/j.molp.2016.10.003
   Xiao YJ, 2017, MOL PLANT, V10, P359, DOI 10.1016/j.molp.2016.12.008
   Yang N, 2021, CURR OPIN PLANT BIOL, V60, DOI 10.1016/j.pbi.2020.11.002
   Yao T, 2021, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.572137
   Yuan Z, 2015, THEOR APPL CLIMATOL, V122, P755, DOI 10.1007/s00704-014-1332-7
   Zhang JY, 2014, PLANT CELL ENVIRON, V37, P2553, DOI 10.1111/pce.12328
   Zhang XM, 2020, PLANT BIOTECHNOL J, V18, P1271, DOI 10.1111/pbi.13290
   Zhao XQ, 2021, RUSS J PLANT PHYSL+, V68, P1125, DOI 10.1134/S1021443721060236
NR 43
TC 8
Z9 10
U1 4
U2 29
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4425
J9 GENES-BASEL
JI Genes
PD JAN
PY 2023
VL 14
IS 1
AR 8
DI 10.3390/genes14010008
PG 13
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA 7Z3IE
UT WOS:000915455900001
PM 36672748
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Wilson, KR
   Myers, RL
   Hendrickson, MK
   Heaton, EA
AF Wilson, Kelly R.
   Myers, Robert L.
   Hendrickson, Mary K.
   Heaton, Emily A.
TI Different Stakeholders' Conceptualizations and Perspectives of
   Regenerative Agriculture Reveals More Consensus Than Discord
SO SUSTAINABILITY
LA English
DT Article
DE regenerative agriculture; food system transformation; soil health;
   qualitative research; resilient food systems
AB A range of content analyses have recently sought to define the term "regenerative agriculture", which has gained a surge of attention in the last few years. However, these studies have not incorporated the voices of those using the term to define their work: the farmers, private companies, researchers, and NGOs giving energy to the movement. In this study, we conducted qualitative interviews with 19 stakeholders from across the United States. Key points of consensus were that regenerative agriculture moves beyond sustainability, is outcomes-based, and, as such, is context-specific: focusing on outcomes provides opportunities to be adaptive to a specific context and that, depending on one's context, different practices may be used to achieve target outcomes. We identified three categories of outcomes: climate adaptation and mitigation, socio-economic benefits, and integrated systems. We also found several opportunities within the energy of the movement. First, regenerative agriculture remains a "big tent" that is still accessible to a broad range of farmers. Participants also underscore the need to move toward systems-based research as opposed to reductionist research. Finally, we present participants' mixed perspectives on the role of government, the private sector, and third parties in moving regenerative agriculture forward.
C1 [Wilson, Kelly R.; Myers, Robert L.] Univ Missouri, Ctr Regenerat Agr, Coll Agr Food & Nat Resources, Columbia, MO 65211 USA.
   [Hendrickson, Mary K.] Univ Missouri, Coll Agr Food & Nat Resources, Div Appl Social Sci DASS, Columbia, MO 65211 USA.
   [Heaton, Emily A.] Univ Illinois, Coll Agr Consumer & Environm Sci, Dept Crop Sci, Champaign, IL 61801 USA.
C3 University of Missouri System; University of Missouri Columbia;
   University of Missouri System; University of Missouri Columbia;
   University of Illinois System; University of Illinois Urbana-Champaign
RP Wilson, KR (corresponding author), Univ Missouri, Ctr Regenerat Agr, Coll Agr Food & Nat Resources, Columbia, MO 65211 USA.
EM kellyrwilson@missouri.edu
OI Wilson, Kelly/0000-0002-8462-0586; Hendrickson, Mary/0000-0003-2984-4082
CR Angara Galina, 2020, Cultural Survival
   [Anonymous], 2018, The State of Food Security and Nutrition in the World
   Brazeau M., 2021, GENETIC LITERACY PRO
   Brown G., 2018, Dirt to soil: one family's journey into regenerative agriculture
   Cairns R, 2016, ENVIRON SCI POLICY, V64, P164, DOI 10.1016/j.envsci.2016.07.007
   Carlisle Liz., 2022, HEALING GROUNDS CLIM
   Charmaz K, 2006, CONSTRUCTING GROUNDE
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Crotty M., 1998, The Foundations of Social Research: Meaning and Perspective in the Research Process, DOI DOI 10.4324/9781003115700
   Elevitch CR, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093337
   Erisman JW, 2008, NAT GEOSCI, V1, P636, DOI 10.1038/ngeo325
   Fassler J., 2021, COUNTER 0503
   Gabel Medard., 1979, Ho-Ping: Food for Everyone
   Gasper P., 1999, CAMBRIDGE DICT PHILO, V2nd, P855
   Gergen K.J., 2001, SOCIAL CONSTRUCTION, V115, P136
   Giller KE, 2021, OUTLOOK AGR, V50, P13, DOI 10.1177/0030727021998063
   Given L.M., 2008, SAGE ENCY QUALITATIV, DOI [10.4135/9781412963909.n311, DOI 10.4135/9781412963909.N311]
   Grandin T, 2006, APPL ANIM BEHAV SCI, V100, P129, DOI 10.1016/j.applanim.2006.04.016
   Guest G, 2017, FIELD METHOD, V29, P3, DOI 10.1177/1525822X16639015
   Hatanaka M, 2006, RES RURAL SOCIOL DEV, V12, P39, DOI 10.1016/S1057-1922(06)12003-X
   Ikerd J., 2020, J AGRIC FOOD SYST CO, V10, P7
   ITPS, 2015, Status of the world's soil resources main report
   Jaffee D, 2010, AGR HUM VALUES, V27, P387, DOI 10.1007/s10460-009-9231-8
   Kamenetzky M., 1989, Science and Public Policy, V16, P73, DOI 10.1093/spp/16.2.73
   Kenny K., 2012, ANIMALS ETHICS TRADE, P192
   Kuchler F., 2020, Journal of Consumer Policy, V43, DOI 10.1007/s10603-018-9396-x
   LaCanne CE, 2018, PEERJ, V6, DOI 10.7717/peerj.4428
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Lymbery P, 2021, NAT FOOD, V2, P846, DOI 10.1038/s43016-021-00405-7
   Marston J., 2022, AGFUNDERNEWS 0317
   Massy C., 2017, Call of the reed warbler: A new agriculture-A new earth
   Maxwell J.A., 2004, Qualitative research design: An interactive approach, V2nd
   Merfield C., 2019, An analysis and overview of regenerative agriculture. Report number 22019
   Montgomery D.R., 2012, Dirt: The erosion of civilizations
   Moon SJ, 2017, INT J ADVERT, V36, P246, DOI 10.1080/02650487.2016.1158223
   Newton P, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.577723
   O'Donoghue T, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14105815
   Onwuegbuzie A., 2005, Academic Exchange Quarterly, V9, P280
   Poore J, 2018, SCIENCE, V360, P987, DOI 10.1126/science.aaq0216
   Regenerative Agriculture Farm Certifications, 2022, REG FARM AM
   Rhodes CJ, 2017, SCI PROGRESS-UK, V100, P80, DOI 10.3184/003685017X14876775256165
   RODALE R, 1987, B SCI TECHNOL SOC, V7, P577, DOI 10.1177/027046768700700326
   RODALE R, 1983, FUTURIST, V17, P15
   Romero-Briones A., 2020, NOURISHING NATIVE FO
   Sampson R.N., 1982, ENVIRONMENTALIST, V2, P321, DOI [10.1007/BF02603089, DOI 10.1007/BF02603089]
   SANDELOWSKI M, 1995, RES NURS HEALTH, V18, P179, DOI 10.1002/nur.4770180211
   Schreefel L, 2020, GLOB FOOD SECUR-AGR, V26, DOI 10.1016/j.gfs.2020.100404
   Smil V, 1999, NATURE, V400, P415, DOI 10.1038/22672
   Smil V., 2001, Enriching the Earth: Fritz Haber, Carl Bosch, and the Transformation of World Food Production
   Tribaldos T, 2020, ECOL SOC, V25, DOI 10.5751/ES-11517-250315
   United States Census Bureau, 2022, Geographic Levels
   Wozniacka G., 2021, CIVIL EATS 0105
   ,, 2020, The state of food security and nutrition in the world 2020: transforming food systems for affordable healthy diets, DOI 10.4060/ca9692en
NR 53
TC 6
Z9 6
U1 7
U2 38
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 22
AR 15261
DI 10.3390/su142215261
PG 14
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 6K7YW
UT WOS:000887713500001
OA gold
DA 2025-01-10
ER

PT J
AU Zong, XZ
   Liu, XJ
   Chen, G
   Yin, YH
AF Zong, Xuezheng
   Liu, Xiaojie
   Chen, Gang
   Yin, Yunhe
TI A deep-understanding framework and assessment indicator system for
   climate-resilient agriculture
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Climate change; Climate-resilient agriculture; Deep-understanding
   framework; Agricultural adaptability; Agricultural sustainable
   development
ID GREENHOUSE-GAS EMISSIONS; SUSTAINABILITY; IMPACTS; CROPS; COPE
AB Climate change threatens agricultural production and leads to an increasing contradiction between food supply and needs. Greenhouse gas (GHG) emissions from agricultural activities will exacerbate climate change in the future. Solving food security has become a major challenge around the world. The development of climate resilient agriculture (CRA) is critical to address or slow climate change and is also helpful to improve agricultural quality and efficiency. Based on a review of previous studies and a deep understanding of CRA goals, this paper introduced a comprehensive assessment framework to evaluate CRA. This assessment framework combined four dimensions, i.e., agricultural productivity, farmer income, climate adaptability, and the green development level, and has 71 evaluation indicators. The highlights of this framework are to analyze the impacts of climate change on agricultural development and to stress the synergy of mitigation and adaptation strategies. All indicators represent various factors related to the development of CRA and have been used in previous studies. Therefore, the comprehensive assessment framework can be used as an evaluation tool for analyzing the changes in agroecosystem resilience under climate change, which is also helpful to implement scientific management to ensure sustainable agricultural development and food security.
C1 [Zong, Xuezheng; Liu, Xiaojie; Yin, Yunhe] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
   [Zong, Xuezheng] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Chen, Gang] Minist Ecol & Environm, Environm Dev Ctr, Beijing 100029, 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 Yin, YH (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
EM yinyh@igsnrr.ac.cn
OI Zong, Xuezheng/0000-0002-6653-2742
FU Key Program of National Natural Science Foundation of China [41831174];
   Strategic Priority Research Program of Chinese Academy of Sciences
   [XDA28130500, XDA20020202]
FX This study was supported by the Key Program of National Natural Science
   Foundation of China (41831174) and Strategic Priority Research Program
   of Chinese Academy of Sciences (XDA28130500, XDA20020202).
CR Acevedo M, 2020, NAT PLANTS, V6, P1231, DOI 10.1038/s41477-020-00783-z
   Alexandrov V, 2002, GLOBAL CHANGE BIOL, V8, P372, DOI 10.1046/j.1354-1013.2002.00484.x
   [Anonymous], 2001, Measuring productivity, OECD Manual, Measurement of Aggregate and Industry-level Productivity Growth
   Balasubramanya S, 2020, FOOD POLICY, V93, DOI 10.1016/j.foodpol.2020.101905
   Bebber DP, 2013, NAT CLIM CHANGE, V3, P985, DOI [10.1038/NCLIMATE1990, 10.1038/nclimate1990]
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Bybee-Finley KA, 2018, AGRICULTURE-BASEL, V8, DOI 10.3390/agriculture8060080
   Carpenter SR, 2012, SUSTAINABILITY-BASEL, V4, P3248, DOI 10.3390/su4123248
   Chand R., 2015, ECON POLIT WEEKLY, V50, P139
   Chao Q., 2021, WORLD ENV, P35
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   Coomes OT, 2019, NAT SUSTAIN, V2, P22, DOI 10.1038/s41893-018-0200-3
   CRED UNDRR, 2021, NONC YEAR DIS GLOB T
   Cui XM, 2020, J ENVIRON ECON MANAG, V101, DOI 10.1016/j.jeem.2020.102306
   Das B., 2012, International Journal of Education Economics and Development, V3, P363, DOI DOI 10.1504/IJEED.2012.052312
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Dong HongMin Dong HongMin, 2008, Transactions of the Chinese Society of Agricultural Engineering, V24, P269
   FAO, 2020, SUST CLIM RES AGR
   FAO, 2017, PRODUCTIVITY EFFICIE
   FAO, 2021, SO MAD GOV UN SOUND
   Finger R, 2021, EUR REV AGRIC ECON, V48, P253, DOI 10.1093/erae/jbab011
   Fletcher AL, 2020, CLIMATIC CHANGE, V159, P347, DOI 10.1007/s10584-020-02666-w
   Flörke M, 2018, NAT SUSTAIN, V1, P51, DOI 10.1038/s41893-017-0006-8
   Gentle P, 2012, ENVIRON SCI POLICY, V21, P24, DOI 10.1016/j.envsci.2012.03.007
   Hole DG, 2005, BIOL CONSERV, V122, P113, DOI 10.1016/j.biocon.2004.07.018
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   IFAD, 2019, TECHNOLOGIES CLIMATE
   Janssens C, 2020, NAT CLIM CHANGE, V10, P829, DOI 10.1038/s41558-020-0847-4
   Koondhar MA, 2021, SUSTAIN ENERGY TECHN, V45, DOI 10.1016/j.seta.2021.101099
   Kulak M, 2013, LANDSCAPE URBAN PLAN, V111, P68, DOI 10.1016/j.landurbplan.2012.11.007
   Latruffe L, 2016, STUD AGRIC ECON, V118, P123, DOI 10.7896/j.1624
   Lazarus RS., 1978, STRESS RELATED T PER
   Li Y., 2010, T CSAE, V26, P263
   Liang XZ, 2017, P NATL ACAD SCI USA, V114, pE2285, DOI 10.1073/pnas.1615922114
   Liu YanSui Liu YanSui, 2010, Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture, V18, P905, DOI 10.3724/SP.J.1011.2010.00905
   Liu Y, 2019, GREENH GASES, V9, P160, DOI 10.1002/ghg.1848
   Lu HD, 2017, AGR WATER MANAGE, V179, P227, DOI 10.1016/j.agwat.2016.09.001
   Ma CS, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25505-7
   Macholdt J, 2020, EUR J AGRON, V117, DOI 10.1016/j.eja.2020.126056
   Mahato S., 2020, INT J CURR MICROBIOL, V9, P2479, DOI [10.20546/ijcmas.2020.910.297, DOI 10.20546/IJCMAS.2020.910.297]
   Nayak D, 2015, AGR ECOSYST ENVIRON, V209, P108, DOI 10.1016/j.agee.2015.04.035
   O'Donoghue C, 2016, STUD AGRIC ECON, V118, P163, DOI 10.7896/j.1631
   OECD, 2020, PRODUCER CONSUMER SU
   OECD, 2018, AGR POLICY MONITORIN, DOI [10.1787/agr_pol-2018-en, DOI 10.1787/AGR_POL-2018-EN]
   Ojo TO, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.04.007
   Olaoye J., 2010, AGR ENG INT CIGR J, V12
   Ortiz-Bobea A, 2021, NAT CLIM CHANGE, V11, P306, DOI 10.1038/s41558-021-01000-1
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Prastiyo SE, 2020, ENVIRON SCI POLLUT R, V27, P42092, DOI 10.1007/s11356-020-10148-w
   Praveen B, 2019, J PUBLIC AFF, V19, DOI 10.1002/pa.1960
   Rai RK, 2018, ENVIRON DEV, V27, P26, DOI 10.1016/j.envdev.2018.06.002
   Rao CS, 2019, ECOL INDIC, V105, P621, DOI 10.1016/j.ecolind.2018.06.038
   Reddy P.Parvatha., 2015, Climate Resilient Agriculture for Ensuring Food Security, P273
   Sain G, 2017, AGR SYST, V151, P163, DOI 10.1016/j.agsy.2016.05.004
   Singh R., 2021, Global climate change, P45, DOI [10.1016/B978-0-12-822928-6.00016-2, DOI 10.1016/B978-0-12-822928-6.00016-2]
   Standish RJ, 2014, BIOL CONSERV, V177, P43, DOI 10.1016/j.biocon.2014.06.008
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Teixeira EI, 2013, AGR FOREST METEOROL, V170, P206, DOI 10.1016/j.agrformet.2011.09.002
   Van Beveren I., 2007, TOTAL FACTOR PRODUCT, V26, DOI [10.2139/ssrn.1004429, DOI 10.2139/SSRN.1004429]
   Vogel A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036992
   Wongnaa CA, 2020, TECHNOL SOC, V62, DOI 10.1016/j.techsoc.2020.101288
   Yang Lun, 2020, Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture, V28, P1330, DOI 10.13930/j.cnki.cjea.190887
   Zhang P, 2017, J ENVIRON ECON MANAG, V83, P8, DOI 10.1016/j.jeem.2016.12.001
   [朱立志 Zhu Lizhi], 2019, [中国农业资源与区划, Journal of China Agricultural Resources and Regional Planning], V40, P9
NR 65
TC 18
Z9 19
U1 18
U2 72
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD MAR
PY 2022
VL 136
AR 108597
DI 10.1016/j.ecolind.2022.108597
EA FEB 2022
PG 10
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA ZI1NF
UT WOS:000761394300002
OA gold
DA 2025-01-10
ER

PT J
AU Ballantyne, M
   Woodcock, M
   Doddamani, D
   Hu, TJ
   Taylor, L
   Hawken, RJ
   McGrew, MJ
AF Ballantyne, Maeve
   Woodcock, Mark
   Doddamani, Dadakhalandar
   Hu, Tuanjun
   Taylor, Lorna
   Hawken, Rachel J.
   McGrew, Mike J.
TI Direct allele introgression into pure chicken breeds using Sire Dam
   Surrogate (SDS) mating
SO NATURE COMMUNICATIONS
LA English
DT Article
ID CELL TRANSPLANTATION; DOMINANT-WHITE; EXPRESSION; KNOCKOUT; POULTRY
AB Poultry is the most abundant livestock species with over 60 billion chickens raised globally per year. The majority of chicken are produced from commercial flocks, however many indigenous chicken breeds play an important role in rural economies as they are well adapted to local environmental and scavenging conditions. The ability to make precise genetic changes in chicken will permit the validation of genetic variants responsible for climate adaptation and disease resilience, and the transfer of beneficial alleles between breeds. Here, we generate a novel inducibly sterile surrogate host chicken. Introducing donor genome edited primordial germ cells into the sterile male and female host embryos produces adult chicken carrying only exogenous germ cells. Subsequent direct mating of the surrogate hosts, Sire Dam Surrogate (SDS) mating, recreates the donor chicken breed carrying the edited allele in a single generation. We demonstrate the introgression and validation of two feather trait alleles, Dominant white and Frizzle into two pure chicken breeds using the SDS surrogate hosts. Chicken are a biological model and an important agricultural animal. Here, the authors demonstrate that pure breed genome edited chicks can be produced for any chicken breed by direct mating of sterile surrogate hosts carrying donor genome edited germ cells.
C1 [Ballantyne, Maeve; Hu, Tuanjun; McGrew, Mike J.] Ctr Trop Livestock Genet & Hlth CTLGH, Edinburgh, Midlothian, Scotland.
   [Ballantyne, Maeve; Woodcock, Mark; Doddamani, Dadakhalandar; Hu, Tuanjun; Taylor, Lorna; McGrew, Mike J.] Univ Edinburgh, Roslin Inst & Royal Dick, Sch Vet Studies, Easter Bush Campus, Edinburgh, Midlothian, Scotland.
   [Hawken, Rachel J.] Cobb Europe, Old Ipswich Rd, Colchester, Essex, England.
C3 University of Edinburgh; UK Research & Innovation (UKRI); Biotechnology
   and Biological Sciences Research Council (BBSRC); Roslin Institute
RP McGrew, MJ (corresponding author), Ctr Trop Livestock Genet & Hlth CTLGH, Edinburgh, Midlothian, Scotland.; McGrew, MJ (corresponding author), Univ Edinburgh, Roslin Inst & Royal Dick, Sch Vet Studies, Easter Bush Campus, Edinburgh, Midlothian, Scotland.
EM mike.mcgrew@roslin.ed.ac.uk
RI Doddamani, Dadakhalandar/AAU-5840-2021; Ballantyne, Maeve/IZE-6763-2023
OI Woodcock, Mark/0000-0002-2248-7337; Doddamani,
   Dadakhalandar/0000-0003-4566-9130
FU Bill & Melinda Gates Foundation; UK Foreign, Commonwealth and
   Development Office under the Centre for Tropical Livestock Genetics and
   Health (CTLGH) [OPP1127286]; University of Edinburgh; SRUC (Scotland's
   Rural College); International Livestock Research Institute; BBSRC
   [BB/P0.13732/1, BB/P013759/1]; Innovate UK Agri-Tech [BB/M011895/1];
   BBSRC [BB/M011895/1, BBS/E/D/10002071, BBS/E/D/20320000] Funding Source:
   UKRI
FX We thank the members of the Roslin chicken facility (A. Sherman, M.
   Hutchison, F. Brain, K. Hogan and F. Thomson) for care and breeding of
   the chickens, Jun Chen and Brenda Flack (Cobb-Vantress) for the SNP chip
   analysis, Norman Russell for photographing chicken, and Megan Davey,
   Sudeepta Panda and Guillermo Tellez for critiquing the paper. We thank
   Donald Nkrumah for the guidance to edit the FRZ feather allele, Jeff
   Barrow for the DOW allele, and Appolinaire Djikeng, Bruce Whitelaw,
   Steve Kemp and the members of the Centre Management Group of the CTLGH
   for constructive comments on the project. This research was funded in
   part by the Bill & Melinda Gates Foundation and with UK aid from the UK
   Foreign, Commonwealth and Development Office (Grant Agreement
   OPP1127286) under the auspices of the Centre for Tropical Livestock
   Genetics and Health (CTLGH), established jointly by the University of
   Edinburgh, SRUC (Scotland's Rural College), and the International
   Livestock Research Institute. The findings and conclusions contained
   within are those of the authors and do not necessarily reflect positions
   or policies of the Bill & Melinda Gates Foundation nor the UK
   Government. This work was supported by the Institute Strategic Grant
   Funding from the BBSRC (BB/P0.13732/1 and BB/P013759/1) and Innovate UK
   Agri-Tech funding (BB/M011895/1).
CR Adomako K, 2014, BRIT POULTRY SCI, V55, P709, DOI 10.1080/00071668.2014.963026
   Alders RG, 2009, WORLD POULTRY SCI J, V65, P181, DOI 10.1017/S0043933909000117
   [Anonymous], EVOLUTION MODERN SYN
   Aumann D, 2016, TRANSGENIC RES, V25, P119
   Bae S, 2014, NAT METHODS, V11, P705, DOI 10.1038/nmeth.3015
   Bateson W., 1902, EXPERIMENTS
   Blitz IL, 2016, DEVELOPMENT, V143, P2868, DOI 10.1242/dev.138057
   Brandt AE, 1936, J HERED, V27, P79, DOI 10.1093/oxfordjournals.jhered.a104177
   Challagulla A, 2023, ANIM BIOTECHNOL, V34, P775, DOI 10.1080/10495398.2020.1789869
   Chang CM, 2006, BMC GENOMICS, V7, DOI 10.1186/1471-2164-7-19
   Chencha C., 2016, Asian J Poult Sci, V10, P158, DOI [10.3923/ajpsaj.2016.158.164, DOI 10.3923/AJPSAJ.2016.158.164]
   Ciccarelli M, 2020, P NATL ACAD SCI USA, V117, P24195, DOI 10.1073/pnas.2010102117
   CLINTON M, 1994, ANIM GENET, V25, P361, DOI 10.1111/j.1365-2052.1994.tb00374.x
   Gargett T, 2014, FRONT PHARMACOL, V5, DOI 10.3389/fphar.2014.00235
   Hamm LM, 2009, INVEST OPHTH VIS SCI, V50, P885, DOI 10.1167/iovs.08-2337
   Hutt FB, 1936, J GENET, V32, P277, DOI 10.1007/BF02982682
   Idoko-Akoh A, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-33244-x
   Kerje S, 2004, GENETICS, V168, P1507, DOI 10.1534/genetics.104.027995
   Kim GD, 2020, FASEB J, V34, P5688, DOI 10.1096/fj.201903035R
   Kito G, 2010, J REPROD DEVELOP, V56, P341, DOI 10.1262/jrd.09-218A
   Landauer W, 1933, J HERED, V24, P153
   Lee HC, 2016, STEM CELLS DEV, V25, P68, DOI 10.1089/scd.2015.0208
   Lee J, 2019, P NATL ACAD SCI USA, V116, P13288, DOI 10.1073/pnas.1903230116
   Marin V, 2012, HUM GENE THER METHOD, V23, P376, DOI 10.1089/hgtb.2012.050
   Marinovic Z, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-50169-1
   McGlinchey RP, 2009, P NATL ACAD SCI USA, V106, P13731, DOI 10.1073/pnas.0906509106
   Melesse A, 2014, WORLD POULTRY SCI J, V70, P593, DOI 10.1017/S0043933914000646
   Ng CS, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002748
   Oishi I, 2016, SCI REP-UK, V6, DOI 10.1038/srep23980
   Okutsu T, 2007, SCIENCE, V317, P1517, DOI 10.1126/science.1145626
   Park KE, 2017, SCI REP-UK, V7, DOI 10.1038/srep40176
   Park TS, 2014, P NATL ACAD SCI USA, V111, P12716, DOI 10.1073/pnas.1410555111
   Roberts V., 2008, BRIT POULTRY STANDAR, V6th
   Schusser B, 2016, EUR J IMMUNOL, V46, P2137, DOI 10.1002/eji.201546171
   Shen MW, 2018, NATURE, V563, P646, DOI 10.1038/s41586-018-0686-x
   Shimokawa M, 2017, NATURE, V545, P187, DOI 10.1038/nature22081
   Stone H.A., 1975, TECHNICIAN B, V1514, P1
   Straathof KC, 2005, BLOOD, V105, P4247, DOI 10.1182/blood-2004-11-4564
   Tadesse A., 2013, RURAL DEV, V25, P126
   Tait-Burkard C, 2018, GENOME BIOL, V19, DOI 10.1186/s13059-018-1583-1
   Taylor L, 2017, DEVELOPMENT, V144, P928, DOI 10.1242/dev.145367
   Thalmann DS, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1006665
   Tixier-Boichard M, 2020, ADV POULTRY GENETICS, P1
   Trefil P, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-14475-w
   van de Lavoir MC, 2006, NATURE, V441, P766, DOI 10.1038/nature04831
   Whyte J., 2015, INCREASED SUSTAINABI
   Whyte J, 2015, STEM CELL REP, V5, P1171, DOI 10.1016/j.stemcr.2015.10.008
   Woodcock ME, 2019, P NATL ACAD SCI USA, V116, P20930, DOI 10.1073/pnas.1906316116
   Woodcock ME, 2017, MAMM GENOME, V28, P315, DOI 10.1007/s00335-017-9701-z
   Yoshizaki G, 2016, MOL REPROD DEV, V83, P298, DOI 10.1002/mrd.22625
NR 50
TC 42
Z9 44
U1 2
U2 18
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD JAN 28
PY 2021
VL 12
IS 1
AR 659
DI 10.1038/s41467-020-20812-x
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA QF3FR
UT WOS:000616784300020
PM 33510156
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Arteaga, N
   Savic, M
   Méndez-Vigo, B
   Fuster-Pons, A
   Torres-Pérez, R
   Oliveros, JC
   Picó, FX
   Alonso-Blanco, C
AF Arteaga, Noelia
   Savic, Marija
   Mendez-Vigo, Belen
   Fuster-Pons, Alberto
   Torres-Perez, Rafael
   Carlos Oliveros, Juan
   Xavier Pico, F.
   Alonso-Blanco, Carlos
TI MYB transcription factors drive evolutionary innovations in Arabidopsis
   fruit trichome patterning
SO PLANT CELL
LA English
DT Article
ID THALIANA; GLABRA1; ASSOCIATION; ADAPTATION; EXPRESSION; TRIPTYCHON;
   DEFENSE; TRAITS
AB Both inter- and intra-specific diversity has been described for trichome patterning in fruits, which is presumably involved in plant adaptation. However, the mechanisms underlying this developmental trait have been hardly addressed. Here we examined natural populations of Arabidopsis (Arabidopsis thaliana) that develop trichomes in fruits and pedicels, phenotypes previously not reported in the Arabidopsis genus. Genetic analyses identified five loci, MALAMBRUNO 1-5 (MAU1-5), with MAU2, MAU3, and MAU5 showing strong epistatic interactions that are necessary and sufficient to display these traits. Functional characterization of these three loci revealed cis-regulatory mutations in TRICHOMELESS1 and TRIPTYCHON, as well as a structural mutation in GLABRA1. Therefore, the multiple mechanisms controlled by three MYB transcription factors of the core regulatory network for trichome patterning have jointly been modulated to trigger trichome development in fruits. Furthermore, analyses of worldwide accessions showed that these traits and mutations only occur in a highly differentiated relict lineage from the Iberian Peninsula. In addition, these traits and alleles were associated with low spring precipitation, which suggests that trichome development in fruits and pedicels might be involved in climatic adaptation. Thus, we show that the combination of synergistic mutations in a gene regulatory circuit has driven evolutionary innovations in fruit trichome patterning in Arabidopsis.
C1 [Arteaga, Noelia; Savic, Marija; Mendez-Vigo, Belen; Fuster-Pons, Alberto; Torres-Perez, Rafael; Carlos Oliveros, Juan; Alonso-Blanco, Carlos] CSIC, Dept Genet Mol Plantas, Ctr Nacl Biotecnol CNB, Madrid 28049, Spain.
   [Xavier Pico, F.] CSIC, Estn Biol Donana EBD, Dept Ecol Integrat, Seville 41092, 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)
RP Alonso-Blanco, C (corresponding author), CSIC, Dept Genet Mol Plantas, Ctr Nacl Biotecnol CNB, Madrid 28049, Spain.
EM calonso@cnb.csic.es
RI Pico, Xavier/E-5697-2016; Torres-Perez, Rafael/HKE-6664-2023; Ramos,
   Noelia/AAB-8778-2021; Alonso-Blanco, Carlos/F-8864-2016
OI Pico, Xavier/0000-0003-2849-4922; Mendez-Vigo,
   Belen/0000-0002-9850-536X; Torres-Perez, Rafael/0000-0002-3696-4720;
   Arteaga, Noelia/0000-0001-9951-130X; Alonso-Blanco,
   Carlos/0000-0002-4738-5556; Fuster-Pons, Alberto/0000-0002-9248-4377;
   Oliveros, Juan Carlos/0000-0002-4520-0853
FU Agencia Estatal de Investigacion of Spain (AEI) [PID2019-104249GB-I00,
   BIO2016-75754-P]; FEDER (UE)
FX This work has been funded by grants PID2019-104249GB-I00 and
   BIO2016-75754-P from the Agencia Estatal de Investigacio ' n of Spain
   (AEI)/10.13039/501100011033 and FEDER (UE) to C.A.-B.
CR Al-Shehbaz Ihsan A, 2002, Arabidopsis Book, V1, pe0001, DOI 10.1199/tab.0001
   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
   [Anonymous], 1997, EMBNET News
   Ascaso C, 2003, LICHENOLOGICA, V86, P213
   Atwell S, 2010, NATURE, V465, P627, DOI 10.1038/nature08800
   Balkunde R, 2010, CURR TOP DEV BIOL, V91, P299, DOI 10.1016/S0070-2153(10)91010-7
   Barboza L, 2013, P NATL ACAD SCI USA, V110, P15818, DOI 10.1073/pnas.1314979110
   Barrett RDH, 2008, TRENDS ECOL EVOL, V23, P38, DOI 10.1016/j.tree.2007.09.008
   Bickford CP, 2016, FUNCT PLANT BIOL, V43, P807, DOI 10.1071/FP16095
   Bloomer RH, 2012, MOL ECOL, V21, P3501, DOI 10.1111/j.1365-294X.2012.05630.x
   Bloomer RH, 2014, BMC PLANT BIOL, V14, DOI 10.1186/1471-2229-14-119
   Bradbury PJ, 2007, BIOINFORMATICS, V23, P2633, DOI 10.1093/bioinformatics/btm308
   Caye K, 2019, MOL BIOL EVOL, V36, P852, DOI 10.1093/molbev/msz008
   Czechowski T, 2005, PLANT PHYSIOL, V139, P5, DOI 10.1104/pp.105.063743
   Dalin Peter, 2008, P89, DOI 10.1007/978-1-4020-8182-8_4
   Dormann CF, 2007, ECOL MODEL, V207, P234, DOI 10.1016/j.ecolmodel.2007.05.002
   Doroshkov AV, 2019, BMC PLANT BIOL, V19, DOI 10.1186/s12870-019-1640-2
   Durvasula A, 2017, P NATL ACAD SCI USA, V114, P5213, DOI 10.1073/pnas.1616736114
   Exposito-Alonso M, 2018, EVOLUTION, V72, P1570, DOI 10.1111/evo.13508
   François O, 2016, MOL ECOL, V25, P454, DOI 10.1111/mec.13513
   Fürstenberg-Hägg J, 2013, INT J MOL SCI, V14, P10242, DOI 10.3390/ijms140510242
   Grebe M, 2012, CURR OPIN PLANT BIOL, V15, P31, DOI 10.1016/j.pbi.2011.10.010
   Guimil S, 2006, TRENDS PLANT SCI, V11, P601, DOI 10.1016/j.tplants.2006.10.001
   Hauser MT, 2014, FRONT PLANT SCI, V5, DOI [10.3389/fpls.2014.00320, 10.3389/fpsyg.2014.00401]
   Hauser MT, 2001, MOL BIOL EVOL, V18, P1754, DOI 10.1093/oxfordjournals.molbev.a003963
   Hischer J, 2009, CURR BIOL, V19, P1747, DOI 10.1016/j.cub.2009.08.057
   Hulskamp M, 1998, SEMIN CELL DEV BIOL, V9, P213, DOI 10.1006/scdb.1997.0209
   Ishida T, 2008, ANNU REV PLANT BIOL, V59, P365, DOI 10.1146/annurev.arplant.59.032607.092949
   Judd WS., 1999, PLANT SYTEMATICS PHY
   LAZO GR, 1991, BIO-TECHNOL, V9, P963, DOI 10.1038/nbt1091-963
   Li F, 2013, THEOR APPL GENET, V126, P1227, DOI 10.1007/s00122-013-2049-1
   Manzano-Piedras E, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087836
   Marcer A, 2016, ECOL EVOL, V6, P2084, DOI 10.1002/ece3.2010
   Mauricio R, 1998, AM NAT, V151, P20, DOI 10.1086/286099
   Méndez-Vigo B, 2016, PLANT CELL ENVIRON, V39, P272, DOI 10.1111/pce.12608
   O'Maoiléidigh DS, 2013, PLANT CELL, V25, P2482, DOI 10.1105/tpc.113.113209
   Pattanaik S, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00259
   Pesch M, 2014, PLANT CELL, V26, P4067, DOI 10.1105/tpc.114.129379
   Rangel TF, 2010, ECOGRAPHY, V33, P46, DOI 10.1111/j.1600-0587.2009.06299.x
   Schellmann S, 2002, EMBO J, V21, P5036, DOI 10.1093/emboj/cdf524
   Schnittger A, 1998, DEVELOPMENT, V125, P2283
   Serna L, 2006, TRENDS PLANT SCI, V11, P274, DOI 10.1016/j.tplants.2006.04.008
   Symonds VV, 2011, PLOS GENET, V7, DOI 10.1371/journal.pgen.1002069
   Tabas-Madrid D, 2018, PLANT CELL ENVIRON, V41, P1806, DOI 10.1111/pce.13189
   Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
   Toledo B, 2020, ENVIRON EXP BOT, V170, DOI 10.1016/j.envexpbot.2019.103800
   Tutin TG, 1993, FLORA EUROPAEA, V2
   van Ooijen JW, 2000, MAPQTL VERSION 40 US
   Vendramin E, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090574
   Vidigal DS, 2016, PLANT CELL ENVIRON, V39, P1737, DOI 10.1111/pce.12734
   Wagner A, 2011, TRENDS GENET, V27, P397, DOI 10.1016/j.tig.2011.06.002
   Wang SC, 2007, DEVELOPMENT, V134, P3873, DOI 10.1242/dev.009597
   Wang SC, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00133
   Wang SC, 2008, PLANT CELL PHYSIOL, V49, P1792, DOI 10.1093/pcp/pcn159
   Yang S, 2018, J EXP BOT, V69, P1887, DOI 10.1093/jxb/ery047
   Züst T, 2012, SCIENCE, V338, P116, DOI 10.1126/science.1226397
   Züst T, 2017, ANNU REV PLANT BIOL, V68, P513, DOI 10.1146/annurev-arplant-042916-040856
NR 58
TC 10
Z9 12
U1 2
U2 23
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 1040-4651
EI 1532-298X
J9 PLANT CELL
JI Plant Cell
PD MAR
PY 2021
VL 33
IS 3
BP 548
EP 565
DI 10.1093/plcell/koaa041
EA JAN 2021
PG 18
WC Biochemistry & Molecular Biology; Plant Sciences; Cell Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Plant Sciences; Cell Biology
GA US6DD
UT WOS:000697516600013
PM 33955486
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Peng, G
   Meier, WN
AF Peng, Ge
   Meier, Walter N.
TI Temporal and regional variability of Arctic sea-ice coverage from
   satellite data
SO ANNALS OF GLACIOLOGY
LA English
DT Article; Proceedings Paper
CT International Symposium on Polar Ice, Polar Climate, and Polar Change
CY AUG 14-19, 2017
CL Boulder, CO
SP Univ Colorado, Natl Snow & Ice Data Ctr, Cooperat Inst Res Environm Sci, Inst Arctic & Alpine Studies, Natl Ctr Atmospher Res
DE climate change; ice and climate; sea ice
ID CLIMATE; DECLINE; TRENDS; CYCLE
AB With rapid and accelerated Arctic sea-ice loss, it is beneficial to update and baseline historical change on the regional scales from a consistent, intercalibrated, long-term time series of sea-ice data for understanding regional vulnerability and monitoring ice state for climate adaptation and risk mitigation. In this paper, monthly sea-ice extents (SIEs) derived from a passive microwave sea-ice concentration climate data record for the period of 1979-2015, are used to examine Arctic-wide and regional temporal variability of sea-ice cover and their decadal trends for 15 regions of the Arctic. Three unique types of SIE annual cycles are described. Regions of vulnerability within each of three types to further warming are identified. For the Arctic as a whole, the analysis has found significant changes in both annual SIE maximum and minimum, with -2.41 +/- 0.56% per decade and -13.5 +/- 2.93% per decade change relative to the 1979-2015 climate average, respectively. On the regional scale, the calculated trends for the annual SIE maximum range from + 2.48 to -10.8% decade(-1), while the trends for the annual SIE minimum range from 0 to up to -42% decade(-1).
C1 [Peng, Ge] North Carolina State Univ, CICS NC, NOAA, Natl Ctr Environm Informat, Asheville, NC 28801 USA.
   [Meier, Walter N.] NASA, Cryospher Sci Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA.
   [Meier, Walter N.] Univ Colorado, Natl Snow & Ice Data Ctr, Boulder, CO 80309 USA.
C3 North Carolina State University; National Oceanic Atmospheric Admin
   (NOAA) - USA; National Aeronautics & Space Administration (NASA); NASA
   Goddard Space Flight Center; University of Colorado System; University
   of Colorado Boulder
RP Peng, G (corresponding author), North Carolina State Univ, CICS NC, NOAA, Natl Ctr Environm Informat, Asheville, NC 28801 USA.
EM gpeng@ncsu.edu
RI Meier, Walter/AAI-9583-2021; Peng, Ge/D-8003-2014
OI Peng, Ge/0000-0002-1986-9115
FU NOAA's NCEI [NA14NES432003]
FX This work is supported by NOAA's NCEI under Cooperative Agreement
   NA14NES432003. Ethan Shepherd contributed to data processing. Russell
   Vose contributed to the design of Fig. 7. Comments and edits from
   Michael Palecki, Jake Crouch and Russell Vose improved the clarity and
   presentation of the paper. Tom Maycock and Jason Yu proof-edited the
   manuscript. We thank two anomalous reviewers from Annals of Glaciology
   for their constructed edits and suggestions, which have improved the
   quality and clarity of the paper. The Ferret data visualization and
   analysis program was used for this paper. Ferret is a product of NOAA's
   Pacific Marine Environmental Laboratory. (Information is available at
   http://ferret.pmel.noaa.gov/Ferret/). The concept of temporal
   distribution maps (Fig. 5) is adapted from a presentation given by
   Richard Hoehler.
CR ACIA, 2004, Impacts of a warming Arctic: Arctic Climate Impact Assessment
   Bhatt US, 2014, ANNU REV ENV RESOUR, V39, P57, DOI 10.1146/annurev-environ-122012-094357
   Cavalieri DJ, 2012, CRYOSPHERE, V6, P881, DOI 10.5194/tc-6-881-2012
   Comiso JC, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004257
   Jeffries M., 2014, Arctic Report Card 2014
   Kattsov VM, 2010, J GLACIOL, V56, P1115, DOI 10.3189/002214311796406176
   Koldunov NV, 2010, REPORTS EARTH SYSTEM
   Liu JP, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL019858
   Lynch AH, 2016, J GEOPHYS RES-ATMOS, V121, P7868, DOI 10.1002/2016JD025164
   Meier WN, 2007, ANN GLACIOL-SER, V46, P428, DOI 10.3189/172756407782871170
   Meier WN, 2014, POLAR RES, V33, DOI 10.3402/polar.v33.21004
   Parkinson CL, 1999, J GEOPHYS RES-OCEANS, V104, P20837, DOI 10.1029/1999JC900082
   Parkinson CL, 2014, J CLIMATE, V27, P9377, DOI 10.1175/JCLI-D-14-00605.1
   Peng G, 2013, EARTH SYST SCI DATA, V5, P311, DOI 10.5194/essd-5-311-2013
   Polyakov IV, 2012, B AM METEOROL SOC, V93, P145, DOI 10.1175/BAMS-D-11-00070.1
   Polyakov IV, 2017, SCIENCE, V356, P285, DOI 10.1126/science.aai8204
   Semenov V A., 2015, The Cryosphere, V9, P1077, DOI [10.5194/tcd-9-1077-2015, DOI 10.5194/TCD-9-1077-2015]
   Serreze MC, 2015, PHILOS T R SOC A, V373, DOI 10.1098/rsta.2014.0159
   Stroeve JC, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052676
   Thompson A, 2017, ARCTIC SEA ICE SETS
   Vihma T, 2014, SURV GEOPHYS, V35, P1175, DOI 10.1007/s10712-014-9284-0
   Yashayaev IM, 2001, INT J CLIMATOL, V21, P401, DOI 10.1002/joc.585
   Zhang JL, 2003, MON WEATHER REV, V131, P845, DOI 10.1175/1520-0493(2003)131<0845:MGSIWA>2.0.CO;2
NR 23
TC 49
Z9 57
U1 0
U2 24
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 0260-3055
EI 1727-5644
J9 ANN GLACIOL
JI Ann. Glaciol.
PD JUL
PY 2018
VL 59
IS 76
BP 191
EP 200
DI 10.1017/aog.2017.32
PN 2
PG 10
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Physical Geography; Geology
GA GP4HO
UT WOS:000440821800011
OA gold
DA 2025-01-10
ER

PT C
AU Tognon, GB
   Petry, C
AF Tognon, G. B.
   Petry, C.
BE Facciuto, G
   Sanchez, MI
TI Early Growth Characteristics of Two Morning Glory Species as Annual
   Climbers
SO VII INTERNATIONAL SYMPOSIUM ON NEW FLORICULTURAL CROPS
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT 7th International Symposium on New Floricultural Crops
CY NOV 22-25, 2011
CL Buenos Aires, ARGENTINA
SP Int Soc Hort Sci
DE Convolvulaceae; Ipomoea cairica; I. purpurea; landscaping; lianas;
   native plant; vertical garden
AB Variety of annual climbers in landscaping provides fast and exuberant visual effects. The goal of this study was to evaluate two Morning Glory (Ipomoea cairica and I. purpurea) native to Brazil, for landscaping purposes. Both species are found naturally in poor and degraded soils, and are well adapted to climate conditions of South Brazil. Ipomoea cairica has palmate compound leaves, lush green foliage, and colorful lilac funnel-shaped blossoms that opening only during the day. It can be grown as a potted annual or as a climber trained up over trellises, pergolas, as ground cover, or hedges. Ipomoea purpurea has oval blade leaves, lush green foliage, and big white, pink or dark-purple funnel-shaped blossoms that opening only during the day. Ipomoea purpurea is a fast growing plant, and can be grown as an annual potted plant, over trellises or trained toward pergolas with gorgeous effects. The results indicated that, during the summer time, over thirty days of pot growing, I. cairica had more leaves and branches, but shorter than I. purpurea. Because of these characteristics I. cairica is more likely to be recommended than I. purpurea as potted plant or hedge.
C1 [Tognon, G. B.] Univ Fed Parana, Dept Plant Sci, BR-80060000 Curitiba, Parana, Brazil.
   [Petry, C.] Univ Passo Fundo, Sch Agron & Vet Med, Rio Grande Do Sul, Brazil.
C3 Universidade Federal do Parana; Universidade de Passo Fundo
RP Tognon, GB (corresponding author), Univ Fed Parana, Dept Plant Sci, BR-80060000 Curitiba, Parana, Brazil.
CR Barroso C. M., 2007, Revista Brasileira de Horticultura Ornamental, V13, P91
   Bretzel F, 2010, ACTA HORTIC, V881, P213, DOI 10.17660/ActaHortic.2010.881.27
   Embrapa, 2009, ESTACAO METEOROLOGIC
   Ferreira D.F., 2008, REV S, V6, P36
   Ferreira P. P. A., 2009, Revista Brasileira de Biociencias, V7, P440
   Heiden G., 2006, Revista Brasileira de Horticultura Ornamental, V12, P2
   Junqueira A. H., 2008, Revista Brasileira de Horticultura Ornamental, V14, P37
   Ladwig LM, 2009, FOREST ECOL MANAG, V259, P195, DOI 10.1016/j.foreco.2009.10.012
   Leal L., 2006, REV CIENT FICA ELETR, V4, P1
   Lorenzi H., 2001, Plantas Ornamentais no Brasil, arbustivas, herbaceas e trepadeiras
   Paiva P.D. de O., 2008, PAISAGIMO CONCEITOS
   Souza Nádia A. de, 2004, Hortic. Bras., V22, P39, DOI 10.1590/S0102-05362004000100008
   Younis A, 2010, ACTA HORTIC, V881, P229
NR 13
TC 0
Z9 0
U1 1
U2 8
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
EI 2406-6168
BN 978-90-66055-76-6
J9 ACTA HORTIC
PY 2013
VL 1000
BP 153
EP 156
DI 10.17660/ActaHortic.2013.1000.18
PG 4
WC Plant Sciences; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Plant Sciences; Agriculture
GA BA2OR
UT WOS:000333738300018
DA 2025-01-10
ER

PT J
AU Liu, WQ
   Miao, C
   Xiao, L
   Mai, JH
   Wang, YZ
AF Liu, Wenqing
   Miao, Chang
   Xiao, Lei
   Mai, Junhang
   Wang, Yingzi
TI Layout Optimization of Residential Buildings to Improve the Outdoor
   Microclimate of Neighborhoods Along an Urban Bay: A Case Study of
   Shantou's Inner Bay, China
SO BUILDINGS
LA English
DT Article
DE residential buildings; outdoor microclimate; layout optimization; urban
   bay
ID SEA-LAND BREEZE; ENVI-MET; URBANIZATION; SPRAWL; IMPACT; FORM
AB In summer, the urban heat island effect causes unbearable warmth in Shantou City, especially in the urban areas along the Inner Bay with densely populated neighborhoods. An investigation of the layout patterns of 100 residential neighborhoods along Shantou's Inner Bay was conducted, leading to the establishment of four types and nine sub-types of idealized residential neighborhood models. Their wind speed, relative humidity, and air temperature were simulated in the ENVI-met software (version No.5.0.1). The simulation results show that high-rise buildings in the front areas play a decisive role in the overall microclimate environment. Accordingly, three principal drawbacks regarding neighborhood layout for thermal climate adaptation were extracted. Furthermore, by comparing the simulation results before and after modifying the layout of high-rise buildings, three spatial strategies to strengthen the humidification and cooling effect of sea-land breezes to optimize the outdoor microclimatic environment of neighborhoods were proposed, and these strategies were subsequently verified in the Golden-Harbor neighborhood.
C1 [Liu, Wenqing; Xiao, Lei; Wang, Yingzi] Shantou Univ, Coll Engn, Dept Civil Engn & Intelligent Construct, Lab Vernacular Architecture Surveying & Mapping, Shantou 515063, Peoples R China.
   [Miao, Chang] Harbin Inst Technol, Sch Architecture & Design, Key Lab Cold Reg Urban & Rural Human Settlement En, Minist Ind & Informat Technol, Harbin 150006, Peoples R China.
   [Mai, Junhang] South China Univ Technol, Sch Architecture, Guangzhou 510641, Peoples R China.
RP Liu, WQ; Wang, YZ (corresponding author), Shantou Univ, Coll Engn, Dept Civil Engn & Intelligent Construct, Lab Vernacular Architecture Surveying & Mapping, Shantou 515063, Peoples R China.
EM wqliu@stu.edu.cn; changmiao0211@gmail.com; rayshaw674@gmail.com;
   stmichaelhang@163.com; yzwang@stu.edu.cn
FU Social Science Fund for Youth of the Chinese Ministry of Education;
   Shantou University Scientific Research Fund [NTF21028];  [23YJCZH142]
FX This study was supported by the Social Science Fund for Youth of the
   Chinese Ministry of Education [23YJCZH142] and the Shantou University
   Scientific Research Fund [NTF21028].
CR Abd Elraouf R, 2022, J BUILD PERFORM SIMU, V15, P268, DOI 10.1080/19401493.2022.2046165
   Allegrini J, 2015, J WIND ENG IND AEROD, V144, P108, DOI 10.1016/j.jweia.2015.03.024
   [Anonymous], 2013, Design Standard for Thermal Environment of Urban Residential Areas
   [Anonymous], 2019, Assessment Standard for Green Building
   Banerjee S, 2022, BUILD ENVIRON, V225, DOI 10.1016/j.buildenv.2022.109646
   Chen C., 2020, J. Meteorol. Sci, V40, P257, DOI [10.3969/2019jms.0037, DOI 10.3969/2019JMS.0037]
   China Meteorological Administration Tsinghua University, 2005, Special Meteorological Dataset for Thermal Environment Analysis of Chinese Buildings
   Clarice B.D.S., 2019, Vestn. MGSU, V14, P954, DOI [10.22227/1997-0935.2019.8.954-966, DOI 10.22227/1997-0935.2019.8.954-966]
   Deng FF, 2004, PROG PLANN, V61, P211, DOI 10.1016/j.progress.2003.10.004
   Forouzandeh A, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102878
   Guo L.B., 2022, Period. Ocean. Univ. China, V52, P19, DOI [10.16441/j.cnki.hdxb.20210187, DOI 10.16441/J.CNKI.HDXB.20210187]
   He SJ, 2007, CITIES, V24, P194, DOI 10.1016/j.cities.2006.12.001
   Huang H., 2018, Guangdong Meteorol, V40, P14, DOI [10.3969/j.issn.1007-6190.2018.06.004, DOI 10.3969/J.ISSN.1007-6190.2018.06.004]
   Kamal A, 2021, ENERG BUILDINGS, V253, DOI 10.1016/j.enbuild.2021.111499
   Kim SW, 2021, SCI TOTAL ENVIRON, V779, DOI 10.1016/j.scitotenv.2021.146389
   Li Han, 2016, Building Energy Efficiency, V44, P57, DOI 10.3969/j.issn.1673-7237.2016.03.015
   Lin HK, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12091294
   Lin L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13158481
   Liu S, 2023, SUSTAIN CITIES SOC, V94, DOI 10.1016/j.scs.2023.104509
   Lu DF, 2006, PLAN HIST ENVIRON SE, P19
   Middel A, 2014, LANDSCAPE URBAN PLAN, V122, P16, DOI 10.1016/j.landurbplan.2013.11.004
   Mills D, 2015, CLIMATIC CHANGE, V131, P83, DOI 10.1007/s10584-014-1154-8
   Paramita B, 2019, GEOGR TECH, V14, P213, DOI 10.21163/GT_2019.141.35
   Perini K, 2017, ENERG BUILDINGS, V152, P373, DOI 10.1016/j.enbuild.2017.07.061
   Shen LX, 2019, ATMOS RES, V227, P198, DOI 10.1016/j.atmosres.2019.05.007
   Su Y, 2023, BUILD ENVIRON, V245, DOI 10.1016/j.buildenv.2023.110837
   Tam BY, 2015, URBAN CLIM, V12, P1, DOI 10.1016/j.uclim.2014.12.004
   Tsoka S, 2018, SUSTAIN CITIES SOC, V43, P55, DOI 10.1016/j.scs.2018.08.009
   UN-Habitat, 2020, WORLD CIT REP VAL SU
   Wai KM, 2017, SCI TOTAL ENVIRON, V599, P647, DOI 10.1016/j.scitotenv.2017.05.014
   [王美雅 Wang Meiya], 2018, [地球信息科学学报, Journal of Geo-Information Science], V20, P1787
   Wang Y, 2017, J GEOPHYS RES-ATMOS, V122, P4332, DOI 10.1002/2017JD026702
   Wang YF, 2019, INDOOR BUILT ENVIRON, V28, P1200, DOI 10.1177/1420326X19860884
   Wei X, 2021, J URBAN PLAN DEV, V147, DOI 10.1061/(ASCE)UP.1943-5444.0000726
   Wen WJ, 2010, J TROP METEOROL, V16, P263, DOI 10.3969/j.issn.1006-8775.2010.03.008
   WMO, 2021, The Atlas of Mortality and Economic Losses from Weather, Climate and Water Extremes (1970-2019)
   Yamamoto Y., 2006, SCI TECHNOLOGY TREND, V54, P65
   Yamamoto Y, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100578
   Ye L, 2011, LOCAL ECON, V26, P337, DOI 10.1177/0269094211409117
   Yu H, 2023, ENERG BUILDINGS, V298, DOI 10.1016/j.enbuild.2023.113569
   Yue WZ, 2013, LAND USE POLICY, V31, P358, DOI 10.1016/j.landusepol.2012.07.018
   Zhang MJ, 2022, FRONT ARCHIT RES, V11, P278, DOI 10.1016/j.foar.2021.10.008
NR 42
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2075-5309
J9 BUILDINGS-BASEL
JI BUILDINGS-BASEL
PD DEC
PY 2024
VL 14
IS 12
AR 3912
DI 10.3390/buildings14123912
PG 22
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA Q7R9R
UT WOS:001386614700001
OA gold
DA 2025-01-10
ER

PT J
AU Ankrah, DA
   Okyere, CY
   Mensah, J
   Anaglo, JN
AF Ankrah, Daniel Adu
   Okyere, Charles Yaw
   Mensah, Jojo
   Anaglo, Jonathan Nicholas
TI CHOICE AND INTENSITY OF CLIMATE VARIABILITY ADAPTATION STRATEGIES:
   EVIDENCE FROM MAIZE FARMERS IN SOUTHERN GHANA
SO GEOGRAPHICAL REVIEW
LA English
DT Article
DE adoption intensity; maize farmers; autonomous adaptation; climate crises
ID CENTRAL HIGHLANDS; SMALLHOLDER; DETERMINANTS; TRENDS
AB Embedded in a quantitative approach focused on smallholder maize farmers in southern Ghana, this article addresses the dual questions of what climate variability strategies remain adopted? And what is the intensity of adoption as well as the factors that influence the choice and intensity of adaptation strategies? The related literature presents mixed conclusions. Even more compelling is an understanding of how our research questions intersect with socio-demographic factors in mediating and shaping climate variability adaptation strategies. We find drought-resistant varieties, pest and disease control, early/late planting, and the application of indigenous knowledge to be the dominantly adopted climate variability adaptation strategies. The adoption intensity shows three climate adaptation strategies to be the highest (22.34 percent), followed by two (19.29 percent), with the least (0.5 percent) being ten. Farming experience, household size, and farm size positively correlated with the intensity of climate variability adaptation strategies. Temperature perception is inversely correlated with climate variability adaptation intensity. The findings suggest that social capital and other socio-demographic characteristics are relevant for the adoption of climate variability adaptation strategies in southern Ghana.
C1 [Ankrah, Daniel Adu; Okyere, Charles Yaw; Mensah, Jojo; Anaglo, Jonathan Nicholas] Univ Ghana, Coll Basic & Appl Sci CBAS, Sch Agr, Dept Agr Extens, POB LG 68, Accra, Ghana.
C3 University of Ghana
RP Ankrah, DA (corresponding author), Univ Ghana, Coll Basic & Appl Sci CBAS, Sch Agr, Dept Agr Extens, POB LG 68, Accra, Ghana.
EM dankrah@ug.edu.gh
RI Okyere, Charles/AAG-8979-2020; Ankrah, Daniel/ABC-9929-2021
OI Okyere, Charles Yaw/0000-0002-1794-7001; Ankrah,
   Daniel/0000-0001-9360-0854
CR Adeagbo OA, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06231
   Adimassu Z., 2016, Environmental Systems Research, V5, P1, DOI DOI 10.1186/S40068-016-0065-2
   Adzawla W, 2021, AGR FOOD ECON, V9, DOI 10.1186/s40100-021-00183-7
   Ahmed A, 2016, ENVIRON DEV, V20, P45, DOI 10.1016/j.envdev.2016.08.002
   Alemayehu A, 2017, ENVIRON DEV, V24, P77, DOI 10.1016/j.envdev.2017.06.006
   Alemayehu A, 2017, LOCAL ENVIRON, V22, P825, DOI 10.1080/13549839.2017.1290058
   Alhassan H., 2019, Review of Agricultural and Applied Economics, V22, P32, DOI 10.15414/raae.2019.22.01.32-40
   Ankrah DA., 2021, Agriculture Food Security, V10, P1, DOI DOI 10.1186/S40066-021-00292-Y
   Ankrah DA, 2023, ENVIRON SUSTAIN IND, V18, DOI 10.1016/j.indic.2023.100233
   Ankrah DA, 2023, COGENT FOOD AGR, V9, DOI 10.1080/23311932.2022.2148323
   Ankrah DA, 2020, SCI AFR, V10, DOI 10.1016/j.sciaf.2020.e00604
   [Anonymous], 2010, Population and Housing Census
   Antwi-Agyei P, 2021, ENVIRON SUSTAIN IND, V12, DOI 10.1016/j.indic.2021.100140
   Anum R, 2022, COGENT FOOD AGR, V8, DOI 10.1080/23311932.2022.2130969
   Armah A.R. N., 2019, Climate change in sub-Saharan Africa: The vulnerability and adaptation of food supply chain actors, P157
   Aryal J. P., 2021, Environ. Challenges, V3, P100035, DOI [10.1016/j.envc.2021.100035, DOI 10.1016/J.ENVC.2021.100035]
   Asante F, 2021, ENVIRON DEV, V39, DOI 10.1016/j.envdev.2021.100629
   Asare-Nuamah P., 2022, Environ. Chall, V8, P100594, DOI [10.1016/j.envc.2022.100594, DOI 10.1016/J.ENVC.2022.100594]
   Asrat P, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0118-8
   Ayanlade A, 2017, WEATHER CLIM EXTREME, V15, P24, DOI 10.1016/j.wace.2016.12.001
   Babbie E., 2013, The practice of social research
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Bhatasara S, 2018, J INTEGR ENVIRON SCI, V15, P87, DOI 10.1080/1943815X.2018.1450766
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Bryant Raymond., 1997, 3 WORLD POLITICAL EC
   Carr E. R., 2002, THESIS U KENTUCKY LE
   Carr ER, 2016, AREA, V48, P7, DOI 10.1111/area.12179
   Carr ER, 2008, GLOBAL ENVIRON CHANG, V18, P689, DOI 10.1016/j.gloenvcha.2008.06.004
   Carr EdwardR., 2015, Handbook of Political Ecology, P332
   Carr ER, 2005, ENVIRON PLANN A, V37, P925, DOI 10.1068/a3754
   Chepkoech W, 2023, ECON ANAL POLICY, V77, P716, DOI 10.1016/j.eap.2022.12.016
   Cherinet A., 2019, International Journal of Environmental Sciences & Natural Resources, V17, P114, DOI [10.19080/IJESNR.2019.17.555966, DOI 10.19080/IJESNR.2019.17.555966]
   Ciscar J. C., 2010, ISSUES EC ADAPTATION
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Dadzie SKN, 2021, CLIM CHANG ECON, V12, DOI 10.1142/S2010007820500153
   Danso-Abbeam G., 2018, AGR FOOD SECURITY, V7, P74, DOI [10.1186/s40066-018-0225-x, DOI 10.1186/S40066-018-0225-X]
   Dasmani I, 2020, COGENT SOC SCI, V6, DOI 10.1080/23311886.2020.1751531
   Denkyirah EK, 2017, COGENT FOOD AGR, V3, DOI 10.1080/23311932.2017.1334296
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Diouf NS, 2019, GEND TECHNOL DEV, V23, P93, DOI 10.1080/09718524.2019.1649790
   Dube T., 2018, WILL ADAPTATION CARR
   Ehiakpor Dennis Sedem, 2016, Cogent Food & Agriculture, V2, DOI 10.1080/23311932.2016.1210557
   Epule T.E., 2018, Agric. Food Sec, V7, P10, DOI 10.1186/s40066-018-0159-3
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Etwire P. M., 2013, J AGR EXTENSION RURA, V5, P121, DOI 10.5897/JAERD13.0481
   Fagariba CJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051484
   Faye P, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020311
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Getahun AB, 2021, CLIM SERV, V23, DOI 10.1016/j.cliser.2021.100245
   Gumucio T, 2020, CLIM DEV, V12, P241, DOI 10.1080/17565529.2019.1613216
   Guodaar L., 2022, ENV CHALLENGES, V9, P100654, DOI 10.1016/j.envc.2022.100654
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Gutu Tesso Gutu Tesso, 2012, International Research Journal of Agricultural Science and Soil Science, V2, P347
   Hadgu G., 2014, RES J AGR ENV SCI, V1, P15
   Hansa Lakhran Hansa Lakhran, 2017, Trends in Biosciences, V10, P516
   Hayat M. J., 2019, IPCC SPECIAL REPORT
   Hayat M. J., 2022, CLIMATE CHANGE 2022
   Hayat MJ, 2014, J NURS EDUC, V53, P208, DOI 10.3928/01484834-20140325-04
   Dang HL, 2019, CLIM DEV, V11, P765, DOI 10.1080/17565529.2018.1562866
   Jellason NP, 2022, ENVIRON DEV, V43, DOI 10.1016/j.envdev.2022.100733
   Jones L., 2010, Towards a characterisation of adative capacity: a framework for analysing adaptive capacity at the local level
   Kassie M, 2013, TECHNOL FORECAST SOC, V80, P525, DOI 10.1016/j.techfore.2012.08.007
   Keshavarz M, 2021, J ARID ENVIRON, V184, DOI 10.1016/j.jaridenv.2020.104323
   Kgosikoma KR, 2018, INT J CLIM CHANG STR, V10, P488, DOI [10.1108/ijccsm-02-2017-0039, 10.1108/IJCCSM-02-2017-0039]
   Kide G. T., 2014, SMALLHOLDER FARMERS
   Kumar R., 2018, Research Methodology: A Step-by-Step Guide for Beginners
   Kwapong N.A., 2021, AGR FOOD SECURITY, V10, P1, DOI [10.1186/s40066-021-00309-6, DOI 10.1186/S40066-021-00309-6]
   Lahsen M, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.750
   Lamsal P, 2015, ECOL SOC, V20, DOI 10.5751/ES-07172-200110
   Leavy P., 2017, RES DESIGN QUANTITAT
   Lemma W. A., 2016, THESIS BAHIR DAR U E
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Lund JF, 2018, CURR OPIN ENV SUST, V32, P17, DOI 10.1016/j.cosust.2018.02.003
   Mabe FN, 2014, DETERMINANTS CHOICE
   Marie M, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e03867
   Martey E, 2021, ECOL ECON, V180, DOI 10.1016/j.ecolecon.2020.106870
   Marzelius M, 2022, FOREST POLICY ECON, V141, DOI 10.1016/j.forpol.2022.102765
   Moseley WG, 2016, LAND-BASEL, V5, DOI 10.3390/land5030021
   Moseley WG, 2014, INT POLIT ECON SER, P91
   Muchuru S, 2019, CLIM DEV, V11, P873, DOI 10.1080/17565529.2019.1585319
   Muema E, 2018, HELIYON, V4, DOI 10.1016/j.heliyon.2018.e00889
   Ndamani F, 2016, SCI AGR, V73, P201
   Ndamani F, 2015, WATER-SUI, V7, P4593, DOI 10.3390/w7094593
   Ng'ang'a SK, 2016, AGR SYST, V146, P44, DOI 10.1016/j.agsy.2016.04.004
   Noble IR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P833
   Oo AT, 2017, INT J CLIM CHANG STR, V9, P36, DOI 10.1108/IJCCSM-09-2015-0134
   Opiyo F, 2016, CLIM DEV, V8, P179, DOI 10.1080/17565529.2015.1034231
   Owen G, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102071
   Owusu V, 2021, WEATHER CLIM EXTREME, V33, DOI 10.1016/j.wace.2021.100353
   Partey ST, 2020, CLIMATIC CHANGE, V158, P61, DOI 10.1007/s10584-018-2239-6
   Partey ST, 2018, J CLEAN PROD, V187, P285, DOI 10.1016/j.jclepro.2018.03.199
   Peterson ND, 2010, CLIM DEV, V2, P14, DOI 10.3763/cdev.2010.0033
   Ramirez-Villegas J., 2015, CLIMATE CHANGE IMPAC
   RIBOT JC, 1995, WORLD DEV, V23, P1587, DOI 10.1016/0305-750X(95)00060-P
   Ribot J, 2014, J PEASANT STUD, V41, P667, DOI 10.1080/03066150.2014.894911
   Ribot J, 2013, HANDBOOK ON CLIMATE CHANGE AND HUMAN SECURITY, P164
   Ribot JC, 2009, DEV CHANGE, V40, P105, DOI 10.1111/j.1467-7660.2009.01507.x
   Robbins Paul., 2012, Political Ecology
   Sadiq MA, 2019, AGRICULTURE-BASEL, V9, DOI 10.3390/agriculture9050090
   Singh S, 2020, ECOL INDIC, V116, DOI 10.1016/j.ecolind.2020.106475
   Stuch B, 2021, CLIM DEV, V13, P268, DOI 10.1080/17565529.2020.1760771
   Tambo JA, 2016, INT J DISAST RISK RE, V17, P85, DOI 10.1016/j.ijdrr.2016.04.005
   Thinda KT, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104858
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   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]
   UNFCCC, 2007, REP AFR REG WORKSH A
   Vanderwel D.S., 2005, METHOD DEV BEST MANA
   Wisner B., 2015, Urban Vulnerability and Climate Change in Africa, P153, DOI [10.1007/978-3-319-03982-4_ 5, DOI 10.1007/978-3-319-03982-4_5, 10.1007/978-3-319-03982-45, DOI 10.1007/978-3-319-03982-45]
   Yamane T., 1967, ELEMENTARY SAMPLING
   Yamba S, 2019, COGENT SOC SCI, V5, DOI 10.1080/23311886.2019.1646626
   Yaro JA, 2013, REG ENVIRON CHANGE, V13, P1259, DOI 10.1007/s10113-013-0443-5
NR 113
TC 2
Z9 2
U1 0
U2 4
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 0016-7428
EI 1931-0846
J9 GEOGR REV
JI Geogr. Rev.
PD JAN 1
PY 2024
VL 114
IS 1
BP 99
EP 123
DI 10.1080/00167428.2023.2212390
EA MAY 2023
PG 25
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA EO2Q8
UT WOS:000990426500001
DA 2025-01-10
ER

PT J
AU Krause, P
   Meier, L
   Leistner, P
   Eitle, A
   Bender, E
   Fischer, LK
   Müller, H
AF Krause, Pia
   Meier, Linda
   Leistner, Philip
   Eitle, Adrian
   Bender, Eva
   Fischer, Leonie K.
   Mueller, Hans
TI Development and testing of an urban green façade system for humans,
   flora and fauna
SO BAUPHYSIK
LA German
DT Article
DE species-rich facade greening; local climate adaptation; urban building
   physics; urban biodiversity; climate regulation; planning synergies;
   urban surfaces; mock-up; field trial; Building physics in towns;
   Building envelope; Ex erimental set-ups
ID FACADES
AB This paper presents the climate-regulating and biodiversity-supporting potential and synergies of an innovative green facade system for humans, flora and fauna. The developed system opens up vertical habitats, especially for native plants, birds and insects, and creates climatic compensation functions for buildings and people. An interdisciplinary research methodology brings together the fields of (urban) building physics and ecology. The test results from the summer months of 2022 prove the contribution of the green surface to reducing heat input into the facade as well as into the surrounding area in comparison to a reference concrete wall. At the same time, the biodiversity (e.g. different insects) was significantly increased on the vertical by creating heterogeneous habitats and plant populations. Thus, the developed green system represents an innovative element for coping with complex requirements due to climate change, urbanization and species loss in the built environment and shows solutions for inclusive urban surfaces for humans, flora and fauna.
C1 [Krause, Pia; Meier, Linda; Leistner, Philip] Univ Stuttgart, Inst Akust & Bauphys, Pfaffenwaldring 7, D-70569 Stuttgart, Germany.
   [Eitle, Adrian] Durable Planung & Beratung GmbH, Binzstr 12, CH-8045 Zurich, Switzerland.
   [Bender, Eva; Fischer, Leonie K.] Univ Stuttgart, Inst Landschaftsplanung & Okol, Keplerstr 11, D-70174 Stuttgart, Germany.
   [Mueller, Hans] Helix Pflanzensysteme GmbH Geschaftsleitung, Ludwigsburger Str 82, D-70806 Kornwestheim, Germany.
C3 University of Stuttgart; University of Stuttgart
RP Krause, P (corresponding author), Univ Stuttgart, Inst Akust & Bauphys, Pfaffenwaldring 7, D-70569 Stuttgart, Germany.
EM pia.krause@iabp.uni-stuttgart.de; linda.meier@iabp.uni-stuttgart.de;
   philip.leistner@iabp.uni-stuttgart.de; adrian.eitle@studiodurable.ch;
   eva.bender@ilpoe.uni-stuttgart.de;
   leonie.fischer@ilpoe.uni-stuttgart.de; h.mueller@helix-pflanzen.de
CR [Anonymous], 2018, DIN EN ISO 6946:2018-03
   [Anonymous], 2022, VDI 3787 Blatt 2:2022-06
   Ascione F, 2020, ENERGIES, V13, DOI 10.3390/en13092296
   Besir AB, 2018, RENEW SUST ENERG REV, V82, P915, DOI 10.1016/j.rser.2017.09.106
   Charoenkit S, 2016, BUILD ENVIRON, V105, P82, DOI 10.1016/j.buildenv.2016.05.031
   Chiquet C, 2013, URBAN ECOSYST, V16, P453, DOI 10.1007/s11252-012-0277-9
   Decken H., 2017, Agrar-Report 2017-Biologische Vielfalt in der Agrarlandschaft
   Emde F., 2015, ARTENSCHUTZ REPORT 2
   Francis RA, 2011, J ENVIRON MANAGE, V92, P1429, DOI 10.1016/j.jenvman.2011.01.012
   Helix Pflanzensysteme GmbH, 2022, Helix Biomura
   Hunter AM, 2014, ECOL ENG, V63, P102, DOI 10.1016/j.ecoleng.2013.12.021
   Koc CB, 2017, URBAN ECOSYST, V20, P15, DOI 10.1007/s11252-016-0578-5
   Koch K, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126843
   Koehler Manfred, 2008, Urban Ecosystems, V11, P423, DOI 10.1007/s11252-008-0063-x
   Kowarik I., 2020, Abschlussbericht zum gemeinsamen Forschungsprojekt
   Leistner P., 2022, Klimaangepasste Gebaude und Liegenschaften-Empfehlungen fur Planende, Architektinnen und Architekten sowie Eigentumerinnen und Eigentumer
   Leistner P, 2018, BAUPHYSIK, V40, P358, DOI 10.1002/bapi.201800009
   Madre F, 2015, GLOB ECOL CONSERV, V3, P222, DOI 10.1016/j.gecco.2014.11.016
   Manso M, 2015, RENEW SUST ENERG REV, V41, P863, DOI 10.1016/j.rser.2014.07.203
   Mayrand F., 2018, Nature based strategies for urban and building sustainability, P227, DOI DOI 10.1016/B978-0-12-812150-4.00021-5
   Mayrand F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10040985
   Melzer D., 2020, Der Biotopflachenfaktor 2020-Abschluss-und Gesamtbericht zweier Studien zur Anpassung des Berliner Planungsinstrumentes an den aktuellen Stand der Wissenschaft und Technik
   Oquendo-Di Cosola V, 2022, RENEW SUST ENERG REV, V162, DOI 10.1016/j.rser.2022.112463
   Pfoser N., 2018, Vertikale Begrnung, P228
   Radic M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11174579
   Susorova I., 2013, MADE journal
NR 26
TC 1
Z9 1
U1 5
U2 8
PU ERNST & SOHN
PI BERLIN
PA ROTHERSTRASSE 21, BERLIN, DEUTSCHLAND 10245, GERMANY
SN 0171-5445
EI 1437-0980
J9 BAUPHYSIK
JI Bauphysik
PD JAN
PY 2023
VL 45
IS 1
BP 44
EP 54
DI 10.1002/bapi.202200039
PG 11
WC Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology
GA HJ8J4
UT WOS:001159221900003
DA 2025-01-10
ER

PT J
AU Salgueiro-Otero, D
   Barnes, ML
   Ojea, E
AF Salgueiro-Otero, Diego
   Barnes, Michele L.
   Ojea, Elena
TI Climate adaptation pathways and the role of social-ecological networks
   in small-scale fisheries
SO SCIENTIFIC REPORTS
LA English
DT Article
ID ADAPTIVE CAPACITY; FISHING COMMUNITIES; RISK; TRUST; TRANSFORMATION;
   GOVERNANCE; MANAGEMENT; INSIGHTS; SYSTEM; EXIT
AB Climate change is expected to have increasing impacts on marine ecosystems which will threaten the livelihoods and wellbeing of millions of people. Drawing on social-ecological network and sociodemographic data collected via face-to-face interviews with 404 small-scale commercial fishers from 9 Galician communities (Spain), we empirically examine the adaptation pathways that fishers follow when they face hypothetical impacts on their fishery resources and test the role of five social-ecological network structures on fisher's stated intended responses to such scenarios. Our results show that fishers generally intend to follow a 'remain-adapt-transform-exit (the fishery)' pathway when faced with increasing climate impacts. Next, we demonstrate that trust-based bonding ties and ties to informal leaders are associated with a 'business-as-usual' strategy. In contrast, communicative bonding ties are associated with adaptive responses, while communicative bridging ties are associated with transformative and exit strategies. Our findings provide key empirical insight that broaden our understanding of the intricate relationship between social networks and adaptive behaviour relevant to social-ecological systems worldwide.
C1 [Salgueiro-Otero, Diego; Ojea, Elena] Univ Vigo, Ctr Invest Marina, Future Oceans Lab, Campus Lagoas Marcosende, Vigo 36310, Spain.
   [Barnes, Michele L.] James Cook Univ, Ctr Excellence Coral Reef Studies, Australian Res Council ARC, Townsville, Qld 4811, Australia.
C3 Universidade de Vigo; CIM UVIGO; James Cook University
RP Salgueiro-Otero, D (corresponding author), Univ Vigo, Ctr Invest Marina, Future Oceans Lab, Campus Lagoas Marcosende, Vigo 36310, Spain.
EM dsalgueiro@uvigo.es
RI Barnes, Michele/ABE-7497-2020; ojea, elena/D-3709-2018
OI ojea, elena/0000-0003-4991-8077
FU European Research Council under the European Union [679812]; Xunta de
   Galicia; Conselleria de Cultura, Educacion e Ordenacion Universitaria;
   ARC Centre of Excellence for Coral Reef Studies; Australian Research
   Council [DE190101583]; Australian Research Council [DE190101583] Funding
   Source: Australian Research Council; European Research Council (ERC)
   [679812] Funding Source: European Research Council (ERC)
FX We thank all of the small-scale fishers and institutional members who
   participated in, and contributed to this study; the Federacion Galega de
   Confrarias de Pescadores and Xunta de Galicia for providing information
   and helping us reach the target communities; Paula Barreiro Buceta, Luz
   Eva Fernandez Fernandez, Laura Oubina Acuna, Carlos Pereira Luengo,
   angela Hernandez Gonzalez and Gema Martinez Iglesias for their help in
   the field; Elena Fontan Allende for digitizing the social surveys; Alex
   Tidd and Smit Vasquez Caballero for helpful comments and suggestions and
   Jose Carlos Marino Balsa and Berta Barreiro Rios for sharing the images
   of their fishing communities for this article. Funding for this research
   was provided by the European Research Council under the European Union's
   Horizon 2020 research and innovation program [ERC Starting Grant for
   project CLOCK, grant no. 679812]. DSO was supported by the Xunta de
   Galicia, Conselleria de Cultura, Educacion e Ordenacion Universitaria;
   and through a visiting fellowship at the ARC Centre of Excellence for
   Coral Reef Studies. MLB was supported by an Early Career Research
   Fellowship through the Australian Research Council (grant no.
   DE190101583), and by the ARC Centre of Excellence for Coral Reef
   Studies. EO thanks GAIN from Xunta de Galicia for the Oportunius
   fellowship and Conselleria de Educacion for financial support. The
   funders had no role in study design, data collection and analysis,
   decision to publish, or preparation of the manuscript.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Aguilera SE, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118992
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Alexander SM, 2018, INT J COMMONS, V12, P519, DOI 10.18352/ijc.843
   Allison EH, 2001, MAR POLICY, V25, P377, DOI 10.1016/S0308-597X(01)00023-9
   Barnes ML, 2020, NAT CLIM CHANGE, V10, P823, DOI 10.1038/s41558-020-0871-4
   Barnes ML, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09994-1
   Barnes ML, 2017, ECOL SOC, V22, DOI 10.5751/ES-09769-220416
   Barnes-Mauthe M, 2015, ENVIRON MANAGE, V55, P392, DOI 10.1007/s00267-014-0395-7
   Berardo R, 2014, INT J COMMONS, V8, P236, DOI 10.18352/ijc.463
   Binfoff N L., 2019, The Ocean and Cryosphere in a Changing Climate, DOI DOI 10.1017/9781009157964.007
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Bode A, 2008, EVIDENCIAS CAMBIO CL, P619
   Bodin Ö, 2020, PEOPLE NAT, V2, P734, DOI 10.1002/pan3.10097
   Bodin Ö, 2012, GLOBAL ENVIRON CHANG, V22, P430, DOI 10.1016/j.gloenvcha.2012.01.005
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Brunson JC, 2019, ggplot2
   Cinner JE, 2011, GLOBAL ENVIRON CHANG, V21, P835, DOI 10.1016/j.gloenvcha.2011.04.012
   Cinner JE, 2009, CONSERV BIOL, V23, P124, DOI 10.1111/j.1523-1739.2008.01041.x
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Cline TJ, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14042
   Coulthard S, 2012, ECOL SOC, V17, DOI 10.5751/ES-04483-170104
   Coulthard S, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P255
   Crona B, 2006, ECOL SOC, V11
   Crona B, 2010, ECOL SOC, V15
   Crona BI, 2006, ECOL SOC, V11
   D'agata S, 2020, ENVIRON SCI POLICY, V108, P56, DOI 10.1016/j.envsci.2020.03.006
   Daw TM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031460
   Dowd AM, 2014, NAT CLIM CHANGE, V4, P558, DOI [10.1038/NCLIMATE2275, 10.1038/nclimate2275]
   Dressel S, 2020, ENVIRON SCI POLICY, V104, P88, DOI 10.1016/j.envsci.2019.11.011
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Feola G, 2015, AMBIO, V44, P376, DOI 10.1007/s13280-014-0582-z
   Fisher MC, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2014379117
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Frangoudes K, 2008, MAR POLICY, V32, P223, DOI 10.1016/j.marpol.2007.09.007
   Galappaththi EK, 2021, ENVIRON SCI POLICY, V116, P160, DOI 10.1016/j.envsci.2020.11.009
   Galappaththi EK, 2019, ENVIRON SCI POLICY, V92, P17, DOI 10.1016/j.envsci.2018.11.005
   García-Lorenzo I, 2019, OCEAN COAST MANAGE, V178, DOI 10.1016/j.ocecoaman.2019.104841
   Gómez S, 2021, MAR POLICY, V127, DOI 10.1016/j.marpol.2021.104432
   Gong YZ, 2018, CLIMATIC CHANGE, V149, P75, DOI 10.1007/s10584-017-2057-2
   Gonzalez-Mon B, 2021, ENVIRON SCI POLICY, V116, P246, DOI 10.1016/j.envsci.2020.11.006
   González-Mon B, 2019, ECOL ECON, V164, DOI 10.1016/j.ecolecon.2019.05.018
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Green KM, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-02965-w
   Gutiérrez NL, 2011, NATURE, V470, P386, DOI 10.1038/nature09689
   Guyader O, 2013, FISH RES, V140, P1, DOI 10.1016/j.fishres.2012.11.008
   Hagedoorn LC, 2019, CLIM DEV, V11, P723, DOI 10.1080/17565529.2018.1562869
   Hobday AJ, 2016, REV FISH BIOL FISHER, V26, P249, DOI 10.1007/s11160-016-9419-0
   Janssen MA, 2006, ECOL SOC, V11
   Macho G, 2013, AMBIO, V42, P1057, DOI 10.1007/s13280-013-0460-0
   Marshall NA, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034022
   Meier WN, 2014, REV GEOPHYS, V52, P185, DOI 10.1002/2013RG000431
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Muallil RN, 2011, FISH RES, V111, P74, DOI 10.1016/j.fishres.2011.06.013
   Newman L, 2005, ECOL SOC, V10, DOI 10.5751/ES-01396-1001r02
   Ojea E, 2020, ONE EARTH, V2, P544, DOI 10.1016/j.oneear.2020.05.012
   Oremus KL, 2019, P NATL ACAD SCI USA, V116, P26444, DOI 10.1073/pnas.1820154116
   Paul CJ, 2016, GLOBAL ENVIRON CHANG, V36, P124, DOI 10.1016/j.gloenvcha.2015.12.003
   Pellowe KE, 2019, ECOL SOC, V24, DOI 10.5751/ES-11297-240425
   Pershing AJ, 2019, P NATL ACAD SCI USA, V116, P18378, DOI 10.1073/pnas.1901084116
   Pinsky ML, 2021, POPUL ECOL, V63, P17, DOI 10.1002/1438-390X.12050
   Pita P, 2019, MAR POLICY, V101, P208, DOI 10.1016/j.marpol.2018.09.018
   Rockenbauch T, 2017, ECOL SOC, V22, DOI [10.5751/es-09009-220110, 10.5751/ES-09009-220110]
   Rogers LA, 2019, NAT CLIM CHANGE, V9, P512, DOI 10.1038/s41558-019-0503-z
   Salomon AK, 2019, ECOL SOC, V24, DOI 10.5751/ES-11044-240316
   Savo V, 2017, FISH FISH, V18, P877, DOI 10.1111/faf.12212
   Slater MJ, 2013, OCEAN COAST MANAGE, V71, P326, DOI 10.1016/j.ocecoaman.2012.11.003
   Stoll JS, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.614368
   Terpstra T, 2011, RISK ANAL, V31, P1658, DOI 10.1111/j.1539-6924.2011.01616.x
   Truelove HB, 2015, GLOBAL ENVIRON CHANG, V31, P85, DOI 10.1016/j.gloenvcha.2014.12.010
   Tzanatos E, 2006, FISH RES, V81, P158, DOI 10.1016/j.fishres.2006.07.007
   Wickham H., 2022, Tidyr: Tidy messy data
   Wickham H, 2022, DPLYR GRAMMAR DATA M
   Wickham H., 2016, J. Stat. Softw., V2nd, DOI [10.1007/978-3-319-24277-4, DOI 10.18637/JSS.V077.B02]
   Wickham H, 2007, J STAT SOFTW, V21, P1
   Wilson RS, 2020, NAT CLIM CHANGE, V10, P200, DOI 10.1038/s41558-020-0691-6
   Young T, 2019, ICES J MAR SCI, V76, P93, DOI 10.1093/icesjms/fsy140
   Zanotti L, 2020, ECOL SOC, V25, DOI 10.5751/ES-11642-250304
   Zhang AJ, 2020, INT J AGR SUSTAIN, V18, P266, DOI 10.1080/14735903.2020.1769808
NR 80
TC 10
Z9 13
U1 4
U2 27
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD SEP 15
PY 2022
VL 12
IS 1
AR 15526
DI 10.1038/s41598-022-18668-w
PG 13
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 4O6GZ
UT WOS:000854795200039
PM 36109527
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Rönnberg-Wästljung, AC
   Adler, A
   Karacic, A
   Liepins, K
   Richards, TJ
   Ingvarsson, PK
   Weih, M
AF Ronnberg-Wastljung, Ann Christin
   Adler, Anneli
   Karacic, Almir
   Liepins, Kaspars
   Richards, Thomas J.
   Ingvarsson, Par K.
   Weih, Martin
TI Phenotypic plasticity in <i>Populus trichocarpa</i> clones across
   environments in the Nordic-Baltic region
SO SCANDINAVIAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE Phenotypic plasticity; stability; genotype x environment interaction;
   heritability; plant breeding
ID ADAPTATION
AB Transition towards a bio-based society requires large amounts of woody biomass to be converted into biofuels and biomaterials. Populus species are good candidates for growth in short rotations, but there is a lack of climate-adapted plant material suitable for growth at the high latitudes of the Nordic-Baltic region. Here we studied the growth and phenology traits in 63 Populus trichocarpa clones earlier preliminary selected for growth at northern latitudes, in three different field sites; i.e. in central Sweden, eastern and western Latvia. The material showed moderate broad sense heritabilities, with high values for phenology traits, indicating opportunities for selection. Genotype x environment (g x e) interaction was identified for all traits, but the phenotypic correlation between pairs of sites provided more detailed information indicating the strength of the g x e interaction. The between-clone variation in plasticity was high, and we identified some clones showing a high and stable performance across the three sites. These clones are of particular interest for the commercial deployment and future breeding of Populus material for the Nordic-Baltic region.
C1 [Ronnberg-Wastljung, Ann Christin; Richards, Thomas J.; Ingvarsson, Par K.] Swedish Univ Agr Sci, Uppsala BioCtr, Linnean Ctr Plant Biol, Dept Plant Biol, POB 7080, SE-75007 Uppsala, Sweden.
   [Adler, Anneli; Karacic, Almir; Weih, Martin] Swedish Univ Agr Sci, Linnean Ctr Plant Biol, Dept Crop Prod Ecol, Uppsala, Sweden.
   [Liepins, Kaspars] Latvian State Forest Res Inst SILAVA, Dept Forest Regenerat & Estab, Salaspils, Latvia.
   [Richards, Thomas J.] Univ Queensland, Sch Biol Sci, St Lucia, Qld, Australia.
C3 Swedish University of Agricultural Sciences; Swedish University of
   Agricultural Sciences; Latvian State Forest Research Institute "Silava";
   University of Queensland
RP Rönnberg-Wästljung, AC (corresponding author), Swedish Univ Agr Sci, Uppsala BioCtr, Linnean Ctr Plant Biol, Dept Plant Biol, POB 7080, SE-75007 Uppsala, Sweden.
EM anki.wastljung@slu.se
RI Liepiņš, Kaspars/E-8017-2018; Karacic, Almir/IWU-8380-2023; Ingvarsson,
   Pär/G-2748-2010; Weih, Martin/H-5093-2011; richards, tom/L-2186-2019
OI Ingvarsson, Par/0000-0001-9225-7521; Weih, Martin/0000-0003-3823-9183;
   Ronnberg-Wastljung, Ann Christin/0000-0002-5241-7161; Adler,
   Anneli/0000-0001-7525-1224; Richards, Thomas/0000-0001-5945-6545
FU Swedish Research Council FORMAS [942-2016-20001]
FX The authors thank Dr. Rami-Petteri Apuli for taking part in the
   phenology measurements at Krusenberg and Janis Liepin for measurements
   at Talsi and Ludza. This project was funded by the Swedish Research
   Council FORMAS, grant number 942-2016-20001.
CR Adler A, 2021, BIOENERG RES, V14, P426, DOI 10.1007/s12155-021-10262-8
   Apuli RP, 2021, BMC PLANT BIOL, V21, DOI 10.1186/s12870-021-03103-5
   Hallingbäck HR, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00753
   Ilstedt B., 1996, Forest Genetics, V3, P183
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Pliura A, 2014, BIOMASS BIOENERG, V70, P513, DOI 10.1016/j.biombioe.2014.09.011
   Richards TJ, 2020, HEREDITY, V125, P449, DOI 10.1038/s41437-020-00363-z
   Verwijst T, 2005, P POPLAR SEMINAR DEP, P47
   Vico G, 2021, BIOENERG RES, V14, P445, DOI 10.1007/s12155-021-10249-5
   Weih M, 2004, CAN J FOREST RES, V34, P1369, DOI 10.1139/X04-090
NR 10
TC 1
Z9 1
U1 1
U2 6
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 0282-7581
EI 1651-1891
J9 SCAND J FOREST RES
JI Scand. J. Forest Res.
PD JAN 2
PY 2022
VL 37
IS 1
BP 1
EP 5
DI 10.1080/02827581.2022.2039279
EA FEB 2022
PG 5
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA ZV0GB
UT WOS:000760108700001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Druta, O
   Schilder, F
   Lennartz, C
AF Druta, Oana
   Schilder, Frans
   Lennartz, Christian
TI Home improvements in later life: competing policy goals and the
   practices of older Dutch homeowners
SO INTERNATIONAL JOURNAL OF HOUSING POLICY
LA English
DT Article
DE Aging; climate adaptation; homeownership; renovations; wellbeing
ID AGING IN-PLACE; EQUITY RELEASE; RENOVATIONS; SOLIDARITY; ADULTS; CARE
AB Dutch policy-making has been framed by simultaneous efforts aimed at reforming the social care system and initiating an ambitious sustainable retrofitting programme of housing. In these processes, the willingness and ability of older people, living in owner-occupied housing, to adapt and improve their home or move to a suitable dwelling are crucial. However, our understanding of how and why older people undertake home improvements, and how these practices intersect with policy agendas is still limited. In this paper we draw on a qualitative study with 33 older Dutch homeowner households, to understand how older people conceive home improvements and investments, and their motivations for pursuing them (or not). We find that home improvement as well as moves through and into homeownership are usually deeply connected with ideas of a good life. That may involve adapting to decreasing mobility and cognitive functions, closer relations with children and grandchildren, traveling and hobbies, comfort, and even luxury. However, these practices often lack the coherence implied by policymakers and include intricate considerations of physical, mental, social, and financial well-being.
C1 [Druta, Oana] Eindhoven Univ Technol, Eindhoven, Netherlands.
   [Schilder, Frans; Lennartz, Christian] Dutch Environm Assessment Agcy, The Hague, Netherlands.
C3 Eindhoven University of Technology
RP Druta, O (corresponding author), Eindhoven Univ Technol, Eindhoven, Netherlands.
EM o.druta@tue.nl
RI Druta, Oana/AAD-6277-2020
OI Druta, Oana/0000-0002-4939-2231
CR Abramsson M, 2012, HOUSING STUD, V27, P582, DOI 10.1080/02673037.2012.697553
   Ahrentzen S, 2016, INDOOR AIR, V26, P582, DOI 10.1111/ina.12239
   Andrews G.J, 2020, MEANINGS MATERIALITI, V202
   Begley J, 2015, HOUS POLICY DEBATE, V25, P754, DOI 10.1080/10511482.2015.1004097
   Broers WMH, 2019, ENERGY RES SOC SCI, V58, DOI 10.1016/j.erss.2019.101284
   Callahan J.J., 1992, Aging in place
   Campbell N, 2015, J HOUS BUILT ENVIRON, V30, P645, DOI 10.1007/s10901-015-9437-6
   Chaudhury H, 2019, J HOUS ELDER, V34, P1, DOI DOI 10.1080/02763893.2019.1638875
   Dewilde C., 2017, Housing Wealth and Welfare
   Doling J, 2010, J HOUS BUILT ENVIRON, V25, P227, DOI 10.1007/s10901-010-9184-7
   Doling John., 2012, Demographic Change and Housing Wealth: Home-Owners, Pensions and Asset-Based Welfare in Europe
   Dutch Environmental Assessment Agency, 2020, CLIM EN EX REP, P112
   Ebrahimigharehbaghi S, 2019, ENERG POLICY, V129, P546, DOI 10.1016/j.enpol.2019.02.046
   Elsinga, 2010, TEOR PRAKSA, V47, P1028
   Foster L, 2015, GERONTOLOGIST, V55, P83, DOI 10.1093/geront/gnu028
   Galvin R, 2014, ENERG POLICY, V74, P655, DOI 10.1016/j.enpol.2014.08.013
   Hillcoat-Nallétamby S, 2014, AGEING SOC, V34, P1771, DOI 10.1017/S0144686X13000482
   Hwang E, 2011, J HOUS ELDER, V25, P246, DOI 10.1080/02763893.2011.595611
   Jones A, 2012, INT J HOUS POLICY, V12, P27, DOI 10.1080/14616718.2012.651299
   Jonge D, 2019, LETT GEN ASSEMBLY MI
   Judson EP, 2014, BUILD RES INF, V42, P501, DOI 10.1080/09613218.2014.894808
   Kam, 2019, AANPASSEN VERKASSEN
   Kendig H, 2017, J HOUS ELDER, V31, P259, DOI 10.1080/02763893.2017.1280582
   Kieft A, 2020, ENERGY RES SOC SCI, V60, DOI 10.1016/j.erss.2019.101315
   Lee S.J., 2017, Journal of Family Consumer Sciences, V109, P26, DOI DOI 10.14307/JFCS109.4.26
   M?ller T., 2019, ESSAYS HOUSING PENSI, P37
   Martens CT, 2018, J HOUS ELDER, V32, P1, DOI 10.1080/02763893.2017.1393483
   O'Mahony LF, 2015, HOUSING STUD, V30, P392, DOI 10.1080/02673037.2014.963523
   Oswald F, 2006, MANY FACES OF HEALTH, COMPETENCE AND WELL-BEING IN OLD AGE, P7, DOI 10.1007/1-4020-4138-1_2
   Overton L, 2017, J SOC POLICY, V46, P49, DOI 10.1017/S0047279416000416
   Park S, 2017, J APPL GERONTOL, V36, P1327, DOI 10.1177/0733464815617286
   Phillipson C, 2015, SOCIOL QUART, V56, P80, DOI 10.1111/tsq.12082
   Pillemer K, 2011, J AGING HEALTH, V23, P433, DOI 10.1177/0898264310381278
   Risholt B, 2013, ENERG POLICY, V61, P1022, DOI 10.1016/j.enpol.2013.06.011
   Ritchie J., 2013, Qualitative research practice: A guide for social science students and researchers
   Rodrigues, 2015, CARE HOMES CARE HOME, P1
   Rowles G.D., 2017, Geographical Gerontology, P203, DOI DOI 10.4324/9781315281216-16
   Rowles G.D., 2013, Environmental gerontology: Making meaningful places in old age
   Rowles GD, 2006, MANY FACES OF HEALTH, COMPETENCE AND WELL-BEING IN OLD AGE, P25, DOI 10.1007/1-4020-4138-1_3
   Rubinstein Robert., 1992, PLACE ATTACHMENT
   Toussaint, 2011, HOUS THEORY SOC, V28, P320, DOI [https://doi.org/10.1080/14036096.2011.554853, DOI 10.1080/14036096.2011.554853]
   van der Staak M, 2019, AGING PLACE OLD AGE
   van Hoof J, 2010, BUILD ENVIRON, V45, P358, DOI 10.1016/j.buildenv.2009.06.013
   Vasunilashorn Sarinnapha, 2012, J Aging Res, V2012, P120952, DOI 10.1155/2012/120952
   Willeme P., 2012, LONG TERM CARE USE S
   Wilson C, 2015, ENERGY RES SOC SCI, V7, P12, DOI 10.1016/j.erss.2015.03.002
NR 46
TC 1
Z9 1
U1 2
U2 24
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1949-1247
EI 1949-1255
J9 INT J HOUS POLICY
JI Int. J. Hous. Policy
PD JAN 2
PY 2023
VL 23
IS 1
BP 92
EP 112
DI 10.1080/19491247.2021.2007566
EA NOV 2021
PG 21
WC Environmental Studies; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration; Urban Studies
GA 8S9HA
UT WOS:000730077300001
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Booth, K
AF Booth, Kate
TI Firescapes of disruption: An absence of insurance in landscapes of fire
SO ENVIRONMENT AND PLANNING E-NATURE AND SPACE
LA English
DT Article
DE Fire; financialisation; insurance; landscape; marketisation
ID CLIMATE-CHANGE; CULTURAL-GEOGRAPHY; BUSHFIRE; DISASTER; LIVES; HOMES;
   RISK
AB In this paper, I critically interrogate the expectation that insurance is becoming more present through the processes of financialisation and marketisation - as up-to-date policies and/or in the hearts and minds of consumers. I draw upon interviews about house and contents insurance, with householders in the flammable landscapes of south-eastern Tasmania, Australia. The participants identify these landscapes as resilient and permanent and thus ultimately unaffected by fire. In understanding bush-living as co-constituted with fire and not purely threatened by fire, they experience a strong sense of continuance in these places. In this context, the promise of insurance emerges as contingent, and even if an up-to-date policy is present, insurance moves in and out of focus, is present and becomes absent as various human and non-human actants exert agency. Drawing on critical landscape studies in exploring these spatial contingencies, I observe insuring as landscaping practice. As well as contributing to critical insurance studies and financialisation of everyday life research, I provide a signpost for rethinking the role of insurance in disaster management and climate adaptation.
C1 [Booth, Kate] Univ Tasmania, Hobart, Tas, Australia.
C3 University of Tasmania
RP Booth, K (corresponding author), Univ Tasmania, Geog & Spatial Sci, Sch Technol Environm & Design, Private Bag 78, Hobart, Tas 7001, Australia.
EM Kate.Booth@utas.edu.au
RI Booth, Kate/J-7622-2014
OI Booth, Kate/0000-0002-3102-6356
CR ABC, 2017, ABC
   Abrams JB, 2012, CONSERV SOC, V10, P270, DOI 10.4103/0972-4923.101837
   AIDR, 2013, DUN BUSHF
   [Anonymous], 2013, TASMANIAN BUSHFIRES
   [Anonymous], 2016, Qualitative research: a guide to design and implementation
   [Anonymous], 2018, The INSURTECH book: The insurance technology handbook for investors, entrepreneurs and FinTech visionaries
   Australian Government, 2020, AUSTR GOV MENT HLTH
   BBC, 2020, Research: COVID-19 is echoed in dreams'
   Beck U, 1992, RISK SOC NEW MODERNI
   Birch K, 2016, PROG HUM GEOG, V40, P177, DOI 10.1177/0309132515570512
   Booth K, 2020, ENVIRON PLANN A, V52, P728, DOI 10.1177/0308518X19879165
   Booth K, 2018, PLAN PRACT RES, V33, P211, DOI 10.1080/02697459.2018.1430458
   Booth K, 2016, GEOFORUM, V69, P44, DOI 10.1016/j.geoforum.2015.12.004
   Çaliskan K, 2010, ECON SOC, V39, P1, DOI 10.1080/03085140903424519
   Callon M, 2016, CONSUMP MARK CULT, V19, P17, DOI 10.1080/10253866.2015.1067002
   Cottrell A., 2007, QUEENSLAND PLANNER, V47, P23
   Demetriadi A., 2020, INSURANCE BUSINESS A
   Derrida Jacque., 1994, Spectres de Marx
   Edwards A, 2016, ENVIRON PLANN D, V34, P1080, DOI 10.1177/0263775816645588
   Eriksen C, 2010, GEOFORUM, V41, P814, DOI 10.1016/j.geoforum.2010.05.004
   Ewald Francois, 1991, The Foucault effect: studies in governmentality: with two lectures by and an interview with Michel Foucault, P197
   French S, 2015, EC SOCIOLOGY, V71, P16
   French S, 2012, J CULT ECON-UK, V5, P391, DOI 10.1080/17530350.2012.703619
   French S, 2009, ENVIRON PLANN D, V27, P1030, DOI 10.1068/d7607
   Frers L, 2013, CULT GEOGR, V20, P431, DOI 10.1177/1474474013477775
   Gillon C, 2018, EMOT SPACE SOC, V26, P23, DOI 10.1016/j.emospa.2018.01.001
   González S, 2020, PROG HUM GEOG, V44, P877, DOI 10.1177/0309132519859444
   Hall S, 2012, PROG HUM GEOG, V36, P403, DOI 10.1177/0309132511403889
   Henwood K, 2008, HEALTH RISK SOC, V10, P421, DOI 10.1080/13698570802381451
   Howard P., 2013, The Routledge Companion to Landscape Studies
   Johnson L, 2015, ENVIRON PLANN A, V47, P2503, DOI 10.1177/0308518X15594800
   Johnson L, 2013, ENVIRON PLANN A, V45, P2663, DOI 10.1068/a45695
   Köpsel V, 2017, GEOGR J, V183, P175, DOI 10.1111/geoj.12203
   Lehtonen TK, 2017, CULT STUD, V31, P685, DOI 10.1080/09502386.2017.1328516
   Lehtonen TK, 2017, POLIT THEORY, V45, P32, DOI 10.1177/0090591716680684
   Leyshon C, 2012, AREA, V44, P237, DOI 10.1111/j.1475-4762.2012.01082.x
   Lloyd's, 2018, WORLD RISK CLOS INS
   Lobo-Guerrero Luis., 2010, Journal of the Indian Ocean Region, V6, P239
   Lorimer H, 2005, PROG HUM GEOG, V29, P83, DOI 10.1191/0309132505ph531pr
   Lucas C., 2020, CONVERSATION 0107
   Lyth A, 2016, LOCAL ENVIRON, V21, P730, DOI 10.1080/13549839.2015.1015974
   McFall L, 2011, SOCIOL REV, V59, P661, DOI 10.1111/j.1467-954X.2011.02033.x
   McKinnon S, 2019, GEOGR RES-AUST, V57, P204, DOI 10.1111/1745-5871.12335
   Meier L, 2013, CULT GEOGR, V20, P423, DOI 10.1177/1474474013493889
   Merriman P, 2008, SOC CULT GEOGR, V9, P191, DOI 10.1080/14649360701856136
   Muller-Mahn D., 2012, The Spatial Dimension of Risk: How Geography Shapes the Emergence of Riskscapes, P202, DOI DOI 10.4324/9780203109595
   Neisser F, 2017, GEOFORUM, V82, P170, DOI 10.1016/j.geoforum.2017.04.008
   O'Hare P, 2016, ENVIRON PLANN C, V34, P1175, DOI 10.1177/0263774X15602022
   Pike A, 2010, ECON GEOGR, V86, P29
   Ratnam C, 2018, GEOGR RES-AUST, V56, P42, DOI 10.1111/1745-5871.12250
   Reid K, 2018, SOC NATUR RESOUR, V31, P442, DOI 10.1080/08941920.2017.1421734
   Rose M, 2002, GEOFORUM, V33, P455, DOI 10.1016/S0016-7185(02)00030-1
   Rose M, 2006, ENVIRON PLANN D, V24, P537, DOI 10.1068/d391t
   Steele WE, 2014, HOUS THEORY SOC, V31, P76, DOI 10.1080/14036096.2013.801362
   Sturm T, 2010, GEOFORUM, V41, P154, DOI 10.1016/j.geoforum.2009.09.010
   Tranter B, 2019, GEOFORUM, V107, P199, DOI 10.1016/j.geoforum.2019.07.006
   van Teeseling I., 2017, SHACK LIFE SURVIVAL
   Waterton Emma., 2013, ROUTLEDGE COMPANION, P66
   Whatmore S, 2006, CULT GEOGR, V13, P600, DOI 10.1191/1474474006cgj377oa
   Whatmore Sarah., 2007, The Animals Reader: The Essential Classic and Contemporary Writings, P336
   Wilford J, 2008, ENVIRON PLANN D, V26, P647, DOI 10.1068/d4207
   Williams S., 2012, LANDSCAPE REV, V14, P86
   Wylie J., 2013, The Routledge companion to landscape studies, P54
   Wylie J, 2009, T I BRIT GEOGR, V34, P275, DOI 10.1111/j.1475-5661.2009.00351.x
   Zelizer V., 2017, MORALS MARKETS DEV L
NR 65
TC 7
Z9 7
U1 3
U2 13
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 2514-8486
EI 2514-8494
J9 ENVIRON PLAN E-NAT
JI Environ. Plan. E-Nat. Space
PD JUN
PY 2021
VL 4
IS 2
BP 525
EP 544
DI 10.1177/2514848620921859
PG 20
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA ZA2AI
UT WOS:000755968000016
OA Bronze
DA 2025-01-10
ER

PT B
AU Maxwell, SL
   Venter, O
   Jones, KR
   Watson, JEM
AF Maxwell, Sean L.
   Venter, Oscar
   Jones, Kendall R.
   Watson, James E. M.
BE Power, AG
   Ostfeld, RS
TI Integrating human responses to climate change into conservation
   vulnerability assessments and adaptation planning
SO YEAR IN ECOLOGY AND CONSERVATION BIOLOGY
SE Annals of the New York Academy of Sciences-Series
LA English
DT Article; Book Chapter
DE action evaluation; decision; dual benefit; feasibility; framework;
   management; risk; solution
ID ECOSYSTEM-BASED ADAPTATION; BIODIVERSITY CONSERVATION; LAND-USE;
   TROPICAL BIODIVERSITY; SPECIES VULNERABILITY; PROTECTED AREAS;
   EXTINCTION RISK; SEED DISPERSAL; HABITAT; FOREST
AB The impact of climate change on biodiversity is now evident, with the direct impacts of changing temperature and rainfall patterns and increases in the magnitude and frequency of extreme events on species distribution, populations, and overall ecosystem function being increasingly publicized. Changes in the climate system are also affecting human communities, and a range of human responses across terrestrial and marine realms have been witnessed, including altered agricultural activities, shifting fishing efforts, and human migration. Failing to account for the human responses to climate change is likely to compromise climate-smart conservation efforts. Here, we use a well-established conservation planning framework to show how integrating human responses to climate change into both species-and site-based vulnerability assessments and adaptation plans is possible. By explicitly taking into account human responses, conservation practitioners will improve their evaluation of species and ecosystem vulnerability, and will be better able to deliver win-wins for human-and biodiversity-focused climate adaptation.
C1 [Maxwell, Sean L.; Jones, Kendall R.; Watson, James E. M.] Univ Queensland, Sch Geog Planning & Environm Management, Brisbane, Qld, Australia.
   [Maxwell, Sean L.] Univ Queensland, Sch Biol Sci, ARC Ctr Excellence Environm Decis, Brisbane, Qld, Australia.
   [Venter, Oscar] Univ No British Columbia, Ecosyst Sci & Management, Prince George, BC V2L 5P2, Canada.
   [Watson, James E. M.] Wildlife Conservat Soc, Global Conservat Program, Bronx, NY USA.
C3 University of Queensland; University of Queensland; University of
   Northern British Columbia; Wildlife Conservation Society
RP Maxwell, SL (corresponding author), 1640 Colac Lavers Hill Rd, Kawarren, Vic 3249, Australia.
EM smaxwell@uq.edu.au
RI Venter, Oscar/ABE-1477-2021; Watson, James/D-8779-2013; Jones,
   Kendall/N-2464-2015
OI Venter, Oscar/0000-0003-1719-8474; Watson, James/0000-0003-4942-1984;
   Jones, Kendall/0000-0003-2221-9938
CR Adeney JM, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005014
   Akçakaya HR, 2014, NAT CLIM CHANGE, V4, P1048, DOI 10.1038/nclimate2455
   Alongi DM, 2008, ESTUAR COAST SHELF S, V76, P1, DOI 10.1016/j.ecss.2007.08.024
   [Anonymous], REV CLIMATE CHANGE A
   [Anonymous], 2004, 2004 IUCN RED LIST T
   [Anonymous], 2011, SCANNING CONSERVATIO
   [Anonymous], 2011, FCCCSBSTA2011INF8
   Arnall A, 2014, GEOGR J, V180, P141, DOI 10.1111/geoj.12036
   Aubry LM, 2013, GLOBAL CHANGE BIOL, V19, P149, DOI 10.1111/gcb.12013
   Ban NC, 2013, FRONT ECOL ENVIRON, V11, P194, DOI 10.1890/110205
   Barbet-Massin M, 2012, GLOBAL CHANGE BIOL, V18, P881, DOI 10.1111/j.1365-2486.2011.02552.x
   Barbier EB, 2008, SCIENCE, V319, P321, DOI 10.1126/science.1150349
   Barbier EB, 2011, ECOL MONOGR, V81, P169, DOI 10.1890/10-1510.1
   Beever EA, 2016, CONSERV LETT, V9, P131, DOI 10.1111/conl.12190
   Bekessy SA, 2010, CONSERV LETT, V3, P151, DOI 10.1111/j.1755-263X.2010.00110.x
   Berg MP, 2010, GLOBAL CHANGE BIOL, V16, P587, DOI 10.1111/j.1365-2486.2009.02014.x
   Bhagwat SA, 2008, TRENDS ECOL EVOL, V23, P261, DOI 10.1016/j.tree.2008.01.005
   Blake S, 2007, PLOS BIOL, V5, P945, DOI 10.1371/journal.pbio.0050111
   Blaustein AR, 2002, ECOL LETT, V5, P597, DOI 10.1046/j.1461-0248.2002.00352.x
   Bond NR, 2008, HYDROBIOLOGIA, V600, P3, DOI 10.1007/s10750-008-9326-z
   Bottrill MC, 2008, TRENDS ECOL EVOL, V23, P649, DOI 10.1016/j.tree.2008.07.007
   Bouwman A., 2007, INTEGRATED MODELLING
   Bowen ME, 2007, BIOL CONSERV, V140, P273, DOI 10.1016/j.biocon.2007.08.012
   Boydston EE, 2003, ANIM CONSERV, V6, P207, DOI 10.1017/S1367943003003263
   Bradley BA, 2012, DIVERS DISTRIB, V18, P425, DOI 10.1111/j.1472-4642.2011.00875.x
   Bradley BA, 2009, GLOBAL CHANGE BIOL, V15, P1511, DOI 10.1111/j.1365-2486.2008.01824.x
   Brodie J, 2012, TRENDS ECOL EVOL, V27, P145, DOI 10.1016/j.tree.2011.09.008
   Brodie JF, 2009, ECOL APPL, V19, P854, DOI 10.1890/08-0955.1
   Brown LJ, 2015, CAN GEOGR-GEOGR CAN, V59, P369, DOI 10.1111/cag.12197
   Bruner AG, 2001, SCIENCE, V291, P125, DOI 10.1126/science.291.5501.125
   Bunnefeld N, 2011, TRENDS ECOL EVOL, V26, P441, DOI 10.1016/j.tree.2011.05.003
   Burek KA, 2008, ECOL APPL, V18, pS126, DOI 10.1890/06-0553.1
   Burgman MA, 2013, DIVERS DISTRIB, V19, P485, DOI 10.1111/ddi.12060
   Chapman S, 2014, DIVERS DISTRIB, V20, P1221, DOI 10.1111/ddi.12234
   Chong J, 2014, INT ENVIRON AGREEM-P, V14, P391, DOI 10.1007/s10784-014-9242-9
   Cinner JE, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074321
   Conservation International, 2014, CASCADE PROJ EC BAS
   Corlett RT, 2009, BIOTROPICA, V41, P592, DOI 10.1111/j.1744-7429.2009.00503.x
   Cowling RM, 2007, ORYX, V41, P135, DOI 10.1017/S003065307001949
   Craigie ID, 2010, BIOL CONSERV, V143, P2221, DOI 10.1016/j.biocon.2010.06.007
   Cross MS, 2012, ENVIRON MANAGE, V50, P341, DOI 10.1007/s00267-012-9893-7
   Curran M, 2014, ECOL APPL, V24, P617, DOI 10.1890/13-0243.1
   Dalleau M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046920
   Daniels S.E., 2001, WORKING THROUGH ENV
   Danielsen F, 2009, CONSERV BIOL, V23, P348, DOI 10.1111/j.1523-1739.2008.01096.x
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   DeLucia EH, 2012, PLANT PHYSIOL, V160, P1677, DOI 10.1104/pp.112.204750
   Doris Duke Charitable Foundation, 2013, LAND CONS ER CLIM CH
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Dugan JE, 2008, MAR ECOL-EVOL PERSP, V29, P160, DOI 10.1111/j.1439-0485.2008.00231.x
   Eastwood R, 2008, INVERTEBR SYST, V22, P407, DOI 10.1071/IS06028
   Edmonton City Council, 2012, URB FOR MAN PLAN
   Evans MC, 2011, BIOSCIENCE, V61, P281, DOI 10.1525/bio.2011.61.4.8
   EVERET S. L., 1958, QUEENSLAND AGRIC JOUR, V84, P352
   FAO, 2010, Global Forest Resource Assessment Report: Country Report Uganda
   Fearnside PF, 2006, ENVIRON CONSERV, V33, P181, DOI 10.1017/S0376892906003109
   FEARNSIDE PM, 1986, INTERCIENCIA, V11, P229
   Feng SZ, 2010, P NATL ACAD SCI USA, V107, P14257, DOI 10.1073/pnas.1002632107
   Fensham RJ, 2012, AUSTRAL ECOL, V37, P183, DOI 10.1111/j.1442-9993.2011.02261.x
   Field C.B., 2014, WORKING GROUP 2 CONT, P1, DOI [10.1017/CBO9781107415379, DOI 10.1017/CBO9781107415379]
   Fishpool L.D.C., 2001, Important Bird Areas in Africa and associated islands: Priority sites for conservation
   Foden WB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0065427
   Forcada J, 2009, GLOBAL CHANGE BIOL, V15, P1618, DOI 10.1111/j.1365-2486.2009.01909.x
   Freidenburg LK, 2004, ECOL LETT, V7, P369, DOI 10.1111/j.1461-0248.2004.00587.x
   Gardner JL, 2011, TRENDS ECOL EVOL, V26, P285, DOI 10.1016/j.tree.2011.03.005
   Gavin DG, 2014, NEW PHYTOL, V204, P37, DOI 10.1111/nph.12929
   Ghazoul J, 2007, CONSERV BIOL, V21, P1651, DOI 10.1111/j.1523-1739.2007.00758.x
   Gilmore Sandy, 2007, Pacific Conservation Biology, V13, P93
   Gómez-Baggethun E, 2010, ECOL ECON, V69, P1209, DOI 10.1016/j.ecolecon.2009.11.007
   Grantham H. S., 2011, Pacific Conservation Biology, V17, P241
   Greste P., 2009, BBC NEWS
   GRIFFITH B, 1989, SCIENCE, V245, P477, DOI 10.1126/science.245.4917.477
   Groves CR, 2012, BIODIVERS CONSERV, V21, P1651, DOI 10.1007/s10531-012-0269-3
   Gurney GG, 2015, CONSERV BIOL, V29, P1378, DOI 10.1111/cobi.12514
   Halpern BS, 2008, SCIENCE, V319, P948, DOI 10.1126/science.1149345
   Hamilton SG, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113746
   Hannah L, 2013, P NATL ACAD SCI USA, V110, P6907, DOI 10.1073/pnas.1210127110
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   Hansen L, 2010, CONSERV BIOL, V24, P63, DOI 10.1111/j.1523-1739.2009.01404.x
   Heath M., 2010, PARTN NAT HLTH EC AR
   Hilborn R, 2006, SCIENCE, V314, P1266, DOI 10.1126/science.1132780
   Hills T, 2013, SUSTAIN SCI, V8, P455, DOI 10.1007/s11625-013-0217-5
   Hirji R, 2009, ENVIRON DEVEL, P1, DOI 10.1596/978-0-8213-7940-0
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Holdo RM, 2010, ECOL APPL, V20, P381, DOI 10.1890/08-0780.1
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Hsu A, 2015, NAT CLIM CHANGE, V5, P501, DOI 10.1038/nclimate2594
   Hughes TP, 2003, SCIENCE, V301, P929, DOI 10.1126/science.1085046
   Hunsicker ME, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066025
   Ingram J.C., 2012, Sapiens, V5
   International Union for Conservation of Nature (IUCN), 2014, CONS DAT
   Iwamura T, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.0325
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Joseph LN, 2009, CONSERV BIOL, V23, P328, DOI 10.1111/j.1523-1739.2008.01124.x
   Jupiter Stacy D., 2014, Pacific Conservation Biology, V20, P193
   Kareiva P, 2007, SCIENCE, V316, P1866, DOI 10.1126/science.1140170
   Keith DA, 2008, BIOL LETTERS, V4, P560, DOI 10.1098/rsbl.2008.0049
   Lane JE, 2012, NATURE, V489, P554, DOI 10.1038/nature11335
   Laurance WF, 2001, SCIENCE, V291, P438, DOI 10.1126/science.291.5503.438
   Laurance WF, 2006, CONSERV BIOL, V20, P1251, DOI 10.1111/j.1523-1739.2006.00420.x
   Laurance WF, 2014, NATURE, V513, P229, DOI 10.1038/nature13717
   Laurance WF, 2009, TRENDS ECOL EVOL, V24, P659, DOI 10.1016/j.tree.2009.06.009
   Lawler JJ, 2013, ECOL LETT, V16, P1014, DOI 10.1111/ele.12132
   Lawler JJ, 2009, ANN NY ACAD SCI, V1162, P79, DOI 10.1111/j.1749-6632.2009.04147.x
   Lesnikowski AC, 2015, MITIG ADAPT STRAT GL, V20, P277, DOI 10.1007/s11027-013-9491-x
   Liu CL, 2008, GLOBAL ENVIRON CHANG, V18, P543, DOI 10.1016/j.gloenvcha.2008.09.002
   Lovejoy T.E., 2005, Climate Change and Biodiversity
   MacArthur Foundation, 2015, FIN OV
   Mackey Brendan G., 2008, Biodiversity (Ottawa), V9, P11
   Maekawa M, 2013, NAT RESOUR FORUM, V37, P127, DOI 10.1111/1477-8947.12020
   Magri D, 2008, J BIOGEOGR, V35, P450, DOI 10.1111/j.1365-2699.2007.01803.x
   Maina J, 2016, REG ENVIRON CHANGE, V16, P881, DOI 10.1007/s10113-015-0807-0
   Mantyka-Pringle CS, 2012, GLOBAL CHANGE BIOL, V18, P1239, DOI 10.1111/j.1365-2486.2011.02593.x
   Manzo-Delgado L, 2014, J ENVIRON MANAGE, V138, P55, DOI 10.1016/j.jenvman.2013.11.017
   Marchiori L, 2012, J ENVIRON ECON MANAG, V63, P355, DOI 10.1016/j.jeem.2012.02.001
   Maron M, 2015, DIVERS DISTRIB, V21, P731, DOI 10.1111/ddi.12339
   Maron M, 2012, BIOL CONSERV, V155, P141, DOI 10.1016/j.biocon.2012.06.003
   Matesanz S, 2010, ANN NY ACAD SCI, V1206, P35, DOI 10.1111/j.1749-6632.2010.05704.x
   Maxwell SL, 2015, SCIENCE, V347, P1075, DOI 10.1126/science.aaa1451
   Maxwell SL, 2015, J APPL ECOL, V52, P12, DOI 10.1111/1365-2664.12373
   McCartney M., 2010, Water Storage in an Era of Climate Change: Addressing the Challenge of Increasing Rainfall Variability
   McCauley DJ, 2006, NATURE, V443, P27, DOI 10.1038/443027a
   McClanahan TR, 2008, CONSERV LETT, V1, P53, DOI 10.1111/j.1755-263X.2008.00008_1.x
   McDonald-Madden E, 2011, NAT CLIM CHANGE, V1, P261, DOI 10.1038/NCLIMATE1170
   McDonald-Madden E, 2010, TRENDS ECOL EVOL, V25, P547, DOI 10.1016/j.tree.2010.07.002
   McDowell C, 2013, DEV POLICY REV, V31, P677, DOI 10.1111/dpr.12030
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   McNeely JA, 2006, BIODIVERS CONSERV, V15, P549, DOI 10.1007/s10531-005-2087-3
   Midgley S.J. E., 2011, Climate Risk and Vulnerability Mapping in Southern Africa: Status quo
   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]
   Morrison EB, 2011, RESTOR ECOL, V19, P170, DOI 10.1111/j.1526-100X.2010.00725.x
   MUKINYA J G, 1973, East African Wildlife Journal, V11, P385
   Nichols JD, 2006, TRENDS ECOL EVOL, V21, P668, DOI 10.1016/j.tree.2006.08.007
   Ogutu JO, 2009, J ZOOL, V278, P1, DOI 10.1111/j.1469-7998.2008.00536.x
   Pacifici M, 2015, NAT CLIM CHANGE, V5, P215, DOI 10.1038/NCLIMATE2448
   Peres CA, 2007, BIOTROPICA, V39, P304, DOI 10.1111/j.1744-7429.2007.00272.x
   Pinsky ML, 2012, CLIMATIC CHANGE, V115, P883, DOI 10.1007/s10584-012-0599-x
   Pittock J., 2013, WORLD RESOURCES REPO
   Plumptre AJ, 2014, J APPL ECOL, V51, P714, DOI 10.1111/1365-2664.12227
   Ponce-Reyes R, 2012, NAT CLIM CHANGE, V2, P448, DOI 10.1038/NCLIMATE1453
   Preece RM, 2002, RIVER RES APPL, V18, P397, DOI 10.1002/rra.686
   Prowse TD, 2009, AMBIO, V38, P272, DOI 10.1579/0044-7447-38.5.272
   Ramankutty N, 2002, GLOBAL ECOL BIOGEOGR, V11, P377, DOI 10.1046/j.1466-822x.2002.00294.x
   Rao Nalini S., 2013, An Economic Analysis of Ecosystem-based Adaptation and Engineering Options for Climate Change Adaptation in Lami Town, Republic of the Fiji Islands
   RAYMOND HL, 1979, T AM FISH SOC, V108, P505, DOI 10.1577/1548-8659(1979)108<505:EODAIO>2.0.CO;2
   Redford KH, 2009, CONSERV BIOL, V23, P785, DOI 10.1111/j.1523-1739.2009.01271.x
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Robinson JG, 1999, SCIENCE, V284, P595, DOI 10.1126/science.284.5414.595
   Rondinini C, 2011, PHILOS T R SOC B, V366, P2633, DOI 10.1098/rstb.2011.0113
   Runge MC, 2011, BIOL CONSERV, V144, P1214, DOI 10.1016/j.biocon.2010.12.020
   Sandel B, 2011, SCIENCE, V334, P660, DOI 10.1126/science.1210173
   Sanderson EW, 2002, BIOSCIENCE, V52, P891, DOI 10.1641/0006-3568(2002)052[0891:THFATL]2.0.CO;2
   Schmitz OJ, 2015, NAT AREA J, V35, P190, DOI 10.3375/043.035.0120
   Schwartz MW, 2013, ANN NY ACAD SCI, V1286, P15, DOI 10.1111/nyas.12050
   Seddon PJ, 2014, SCIENCE, V345, P406, DOI 10.1126/science.1251818
   Segan DB, 2015, DIVERS DISTRIB, V21, P1101, DOI 10.1111/ddi.12355
   Segan DB, 2011, ENVIRON MODELL SOFTW, V26, P1434, DOI 10.1016/j.envsoft.2011.08.002
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Shoo LP, 2013, RESTOR ECOL, V21, P670, DOI 10.1111/rec.12048
   Shoo LP, 2011, GLOBAL CHANGE BIOL, V17, P186, DOI 10.1111/j.1365-2486.2010.02218.x
   Shu SS, 2013, SCIENCE, V340, P272, DOI 10.1126/science.340.6130.272-a
   Skelly DK, 2004, EVOLUTION, V58, P160
   Skroch M, 2010, CONSERV BIOL, V24, P325, DOI 10.1111/j.1523-1739.2009.01416.x
   Smallbone LT, 2014, LANDSCAPE URBAN PLAN, V124, P43, DOI 10.1016/j.landurbplan.2014.01.003
   Stanley EH, 2003, FRONT ECOL ENVIRON, V1, P15, DOI 10.1890/1540-9295(2003)001[0015:TOTEEO]2.0.CO;2
   Stein B A., 2014, Climate-Smart Conservation: Putting Adaptation Principles into Practice
   Stephanson SL, 2014, CONSERV BIOL, V28, P1236, DOI 10.1111/cobi.12357
   Suding KN, 2004, TRENDS ECOL EVOL, V19, P46, DOI 10.1016/j.tree.2003.10.005
   Sumaila UR, 2011, NAT CLIM CHANGE, V1, P449, DOI 10.1038/NCLIMATE1301
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Tingley MW, 2014, ANN NY ACAD SCI, V1322, P92, DOI 10.1111/nyas.12484
   Tranquilli S, 2012, CONSERV LETT, V5, P48, DOI 10.1111/j.1755-263X.2011.00211.x
   Tubiello FN, 2007, P NATL ACAD SCI USA, V104, P19686, DOI 10.1073/pnas.0701728104
   Turner WR, 2010, CONSERV LETT, V3, P304, DOI 10.1111/j.1755-263X.2010.00128.x
   UNFCCC, 2009, NAT AD PROGR ACT NAP
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Venter O, 2012, ANN NY ACAD SCI, V1249, P137, DOI 10.1111/j.1749-6632.2011.06306.x
   Visconti P, 2011, PHILOS T R SOC B, V366, P2693, DOI 10.1098/rstb.2011.0105
   Walsh JC, 2013, ORYX, V47, P134, DOI 10.1017/S003060531100161X
   Wang P, 2015, RANGELAND J, V37, P1, DOI 10.1071/RJ14094
   Watson J.E. M., 2011, Conservation Biogeography, P136
   Watson JEM, 2014, NATURE, V515, P67, DOI 10.1038/nature13947
   Watson JEM, 2014, CONSERV LETT, V7, P1, DOI 10.1111/conl.12083
   Watts ME, 2009, ENVIRON MODELL SOFTW, V24, P1513, DOI 10.1016/j.envsoft.2009.06.005
   Watts RJ, 2011, MAR FRESHWATER RES, V62, P321, DOI 10.1071/MF10047
   Webb RH, 2006, J HYDROL, V320, P302, DOI 10.1016/j.jhydrol.2005.07.022
   Weeks R, 2013, CONSERV BIOL, V27, P1234, DOI 10.1111/cobi.12153
   West P, 2006, ANNU REV ANTHROPOL, V35, P251, DOI 10.1146/annurev.anthro.35.081705.123308
   West P, 2006, CONSERV BIOL, V20, P609, DOI 10.1111/j.1523-1739.2006.00432.x
   Wetzel FT, 2012, GLOBAL CHANGE BIOL, V18, P2707, DOI 10.1111/j.1365-2486.2012.02736.x
   Wheeler D., 2011, QUANTIFYING VULNERAB
   Wilson KA, 2009, ANN NY ACAD SCI, V1162, P237, DOI 10.1111/j.1749-6632.2009.04149.x
   Wolf CM, 1998, BIOL CONSERV, V86, P243
   World Bank, 2015, WORLD BANK OP DAT
   Younger JL, 2015, GLOBAL CHANGE BIOL, V21, P2215, DOI 10.1111/gcb.12882
   ,, 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 196
TC 20
Z9 24
U1 0
U2 65
PU BLACKWELL SCIENCE PUBL
PI OXFORD
PA OSNEY MEAD, OXFORD OX2 0EL, ENGLAND
J9 ANN NY ACAD SCI
JI Ann.NY Acad.Sci.
PY 2015
VL 1355
BP 98
EP 116
DI 10.1111/nyas.12952
PG 19
WC Biodiversity Conservation; Ecology
WE Book Citation Index – Science (BKCI-S); Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA BE2SZ
UT WOS:000369996800006
PM 26555860
DA 2025-01-10
ER

PT J
AU McAllister, RRJ
   McCrea, R
   Lubell, MN
AF McAllister, Ryan R. J.
   McCrea, Rod
   Lubell, Mark N.
TI Policy networks, stakeholder interactions and climate adaptation in the
   region of South East Queensland, Australia
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Social network analysis; Exponential random graph model; Governance;
   Science and technology policy; Science technology and society; Political
   science
ID P-ASTERISK MODELS; GOVERNANCE; KNOWLEDGE
AB The strategic use of science in regional policy-making forums often assumes collaborative interactions between stakeholders. However, other types of stakeholder interactions are possible. This paper uses the ecology of games to frame an investigation into stakeholder participation in the policy networks for regional climate change planning for South East Queensland, Australia. We tracked organisational participation in policy forums between 2008 and 2012. We then used a novel bipartite network theoretical approach to identify participation by different types of organisations across shared multiple forums, which we argue prefaces: cooperation, collaboration, support or advocacy. Network analysis was then combined with semi-structured interviews to access how scientific information was utilised across the regional network. Our results suggest that stakeholder interactions were predominately used to advocate for organisational agendas. Advocacy artificially narrows the scope of possible policy options and represents a biased, selective use of information. While advocacy is an important part of policy process, as a counter balance, explicit efforts are needed to recurrently expand the scope of policy options.
C1 [McAllister, Ryan R. J.; McCrea, Rod] CSIRO Ecosyst Sci, Brisbane, Qld 4001, Australia.
   [Lubell, Mark N.] Univ Calif Davis, Davis, CA 95616 USA.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   University of California System; University of California Davis
RP McAllister, RRJ (corresponding author), CSIRO Ecosyst Sci, POB 2583, Brisbane, Qld 4001, Australia.
EM ryan.mcallister@csiro.au
RI Lubell, Mark/H-5018-2012; McCrea, Rod/E-5407-2010; Mcallister,
   Ryan/A-4866-2008
OI Lubell, Mark/0000-0001-5757-7116; McCrea, Rod/0000-0003-0066-6577;
   Mcallister, Ryan/0000-0003-0080-7528
FU Divn Of Social and Economic Sciences; Direct For Social, Behav &
   Economic Scie [0921904] Funding Source: National Science Foundation
CR [Anonymous], ANN M MIDW POL SCI A
   [Anonymous], 2013, CAPACITIES PRIVATE D
   [Anonymous], 2013, Costs and Coasts: An Empirical Assessment of Physical and Institutional Climate Adaptation Pathways
   [Anonymous], 2007, The Honest Broker: Making Sense of Science in Policy and Politics
   Barnett J., 2013, Barriers to adaptation to sealevel rise: the legal, institutional and cultural barriers to adaptation to sea-level rise in Australia
   Beck S, 2011, REG ENVIRON CHANGE, V11, P297, DOI 10.1007/s10113-010-0136-2
   Berardo R, 2010, AM J POLIT SCI, V54, P632, DOI 10.1111/j.1540-5907.2010.00451.x
   Bodin Ö, 2012, GLOBAL ENVIRON CHANG, V22, P430, DOI 10.1016/j.gloenvcha.2012.01.005
   Bohensky EL, 2014, REG ENVIRON CHANGE, V14, P475, DOI 10.1007/s10113-013-0438-2
   Burton P, 2013, URBAN POLICY RES, V31, P399, DOI 10.1080/08111146.2013.778196
   Butts CT, 2008, SOCIOL METHODOL, V38, P155, DOI 10.1111/j.1467-9531.2008.00203.x
   Crona BI, 2011, SCI COMMUN, V33, P448, DOI 10.1177/1075547011408116
   FREEMAN LC, 1977, SOCIOMETRY, V40, P35, DOI 10.2307/3033543
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Hanger S, 2013, REG ENVIRON CHANGE, V13, P91, DOI 10.1007/s10113-012-0317-2
   Klijn E.-H., 2006, PUBLIC MANAGEMENT, V2, P135, DOI [10.1080/14719030000000007, DOI 10.1080/14719030000000007, 10.1080/147-19030000000007, DOI 10.1080/147-19030000000007]
   Klijn EH, 2006, PUBLIC MANAG REV, V8, P141, DOI 10.1080/14719030500518915
   KLIJN EH, 1995, PUBLIC ADMIN, V73, P437, DOI 10.1111/j.1467-9299.1995.tb00837.x
   Lubell M, 2010, AM J POLIT SCI, V54, P287, DOI 10.1111/j.1540-5907.2010.00431.x
   Luthe T, 2012, REG ENVIRON CHANGE, V12, P839, DOI 10.1007/s10113-012-0294-5
   Matthews T, 2012, LOCAL ENVIRON, V17, P1089, DOI 10.1080/13549839.2012.714764
   McAllister RRJ, 2009, J ARID ENVIRON, V73, P862, DOI 10.1016/j.jaridenv.2009.03.014
   Robins G, 2007, SOC NETWORKS, V29, P192, DOI 10.1016/j.socnet.2006.08.003
   Robins G, 2007, SOC NETWORKS, V29, P173, DOI 10.1016/j.socnet.2006.08.002
   Robins G, 2007, SOC NETWORKS, V29, P169, DOI 10.1016/j.socnet.2006.08.004
   Robins G, 2012, POLICY STUD J, V40, P375, DOI 10.1111/j.1541-0072.2012.00458.x
   Robins G, 2011, PUBLIC ADMIN, V89, P1293, DOI 10.1111/j.1467-9299.2010.01884.x
   Sandström A, 2008, POLICY STUD J, V36, P497, DOI 10.1111/j.1541-0072.2008.00281.x
   Snijders TAB, 2001, SOCIOL METHODOL, V31, P361, DOI 10.1111/0081-1750.00099
   Taylor B, 2014, URBAN STUD, V51, P3, DOI 10.1177/0042098013484529
   van Bueren EM, 2003, J PUBL ADM RES THEOR, V13, P193, DOI 10.1093/jopart/mug017
   van Buuren A, 2014, REG ENVIRON CHANGE, V14, P1021, DOI 10.1007/s10113-013-0448-0
   Wagenaar Hendrik., 2011, MEANING ACTION INTER
   Wang P., 2009, PNet. Program for the simulation and estimation of exponential random graph (p*) models
NR 34
TC 70
Z9 76
U1 1
U2 65
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 527
EP 539
DI 10.1007/s10113-013-0489-4
PG 13
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:000333267700009
OA hybrid
DA 2025-01-10
ER

PT J
AU Guan, K
   Sultan, B
   Biasutti, M
   Baron, C
   Lobell, DB
AF Guan, Kaiyu
   Sultan, Benjamin
   Biasutti, Michela
   Baron, Christian
   Lobell, David B.
TI Assessing climate adaptation options and uncertainties for cereal
   systems in West Africa
SO AGRICULTURAL AND FOREST METEOROLOGY
LA English
DT Article
DE West Africa; Climate change; Adaptation; Crop model; Agriculture
ID SORGHUM GENOTYPES; SEED-SET; CROP PRODUCTION; FOOD SECURITY;
   GRAIN-SORGHUM; MAIZE YIELD; DROUGHT; IMPACTS; SENSITIVITY; RAINFALL
AB In the coming decades, the already fragile agricultural system in West Africa will face further challenges in meeting food security, both from increasing population and from the impacts of climate change. Optimal prioritization of adaptation investments requires the assessment of various possible adaptation options and their uncertainties; successful adaptations of agriculture to climate change should not only help farmers deal with current climate risks, but also reduce negative (or enhance positive) impacts associated with climate change using robust climate projections. Here, we use two well-validated crop models (APSIM v7.5 and SARRA-H v3.2) and an ensemble of downscaled climate forcing from the CMIP5 models to assess five possible and realistic adaptation options for the production of the staple crop sorghum (Sorghum bicolor Moench.): (i) late sowing, (ii) intensification of seeding density and fertilizer use, (iii) increasing cultivars' thermal time requirement, (iv) water harvesting, and (v) increasing resilience to heat stress during the flowering period. We adopt a new assessment framework to account for both the impacts of proposed adaptation options in the historical climate and their ability to reduce the impacts of future climate change, and we also consider changes in both mean yield and inter-annual yield variability. We target the future period of 2031-2060 for the "business-as-usual" scenario (RCP8.5), and compare with the historical period of 1961-1990. Our results reveal that most proposed "adaptation options" are not more beneficial in the future than in the historical climate (-12% to +4% in mean yield), so that they do not really reduce the climate change impacts. Increased temperature resilience during the grain number formation period is the main adaptation that emerges (+4.5%). Intensification of fertilizer inputs can dramatically benefit yields in the historical/current climate (+50%), but does not reduce negative climate change impacts except in scenarios with substantial rainfall increases. Water harvesting contributes to a small benefit in the current climate (+1.5% to +4.0%) but has little additional benefit under climate change. Our analysis of uncertainties arising from crop model differences (conditioned on the used model versions) and various climate model projections provide insights on how to further constrain uncertainties for assessing future climate adaptation options. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Guan, Kaiyu; Lobell, David B.] Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.
   [Guan, Kaiyu; Lobell, David B.] Stanford Univ, Ctr Food Secur & Environm, Stanford, CA 94305 USA.
   [Guan, Kaiyu] Univ Illinois, Dept Nat Resources & Environm Sci, Urbana, IL 61801 USA.
   [Sultan, Benjamin] Univ Paris 06, Sorbonne Univ UPMC, CNRS, IRD,MNHN,LOCEAN,IPSL, 4 Pl Jussieu, F-75005 Paris, France.
   [Biasutti, Michela] Columbia Univ, Lamont Doherty Earth Observ, Earth Inst, Palisades, NY USA.
   [Baron, Christian] CIRAD, UMR TETIS, Maison Teledetect,500 Rue Jean Francois Breton, F-34093 Montpellier, France.
C3 Stanford University; Stanford University; University of Illinois System;
   University of Illinois Urbana-Champaign; Sorbonne Universite; Institut
   Polytechnique de Paris; Ecole Polytechnique; Museum National d'Histoire
   Naturelle (MNHN); Universite Paris Cite; Institut de Recherche pour le
   Developpement (IRD); Centre National de la Recherche Scientifique
   (CNRS); Columbia University; CIRAD; AgroParisTech
RP Guan, K (corresponding author), Univ Illinois, Dept Nat Resources & Environm Sci, Urbana, IL 61801 USA.; Sultan, B (corresponding author), Univ Paris 06, Sorbonne Univ UPMC, CNRS, IRD,MNHN,LOCEAN,IPSL, 4 Pl Jussieu, F-75005 Paris, France.
EM kaiyug@illinois.edu; Benjamin.sultan@locean-ipsl.upmc.fr
RI Guan, Kaiyu/N-5772-2015; Biasutti, Michela/G-3804-2012; Sultan,
   Benjamin/C-8957-2012
OI Biasutti, Michela/0000-0001-6681-1533; Lobell,
   David/0000-0002-5969-3476; Baron, Christian/0000-0001-9686-9672; Sultan,
   Benjamin/0000-0003-0416-0338
FU Rockefeller Foundation; US National Science Foundation [SES-1048946];
   NERC/DFID Future Climate for Africa Programme [AMMA-2050];
   France-Stanford Center; NERC [NE/M020428/1, NE/M019934/1] Funding
   Source: UKRI
FX This work has been funded by the Rockefeller Foundation, the US National
   Science Foundation (SES-1048946), the NERC/DFID Future Climate for
   Africa Programme through the AMMA-2050 project, and the France-Stanford
   Center for Interdisciplinary Studies. The authors greatly appreciate the
   constructive comments and suggestions from two anonymous reviewers. All
   the data in this study can be requested from Kaiyu Guan
   (kaiyug@illinois.edu) and David Lobell (dlobell@stanford.edu).
CR [Anonymous], 2015, WORLD POP PROSP 2015
   [Anonymous], NATURE
   Aune JB, 2008, AGR SYST, V98, P119, DOI 10.1016/j.agsy.2008.05.002
   Biasutti M, 2013, J GEOPHYS RES-ATMOS, V118, P1613, DOI 10.1002/jgrd.50206
   Biasutti M, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL041303
   Craufurd PQ, 2013, AGR FOREST METEOROL, V170, P8, DOI 10.1016/j.agrformet.2011.09.003
   Derpsch Rolf, 2010, International Journal of Agricultural and Biological Engineering, V3, P1, DOI 10.3965/j.issn.1934-6344.2010.01.001-025
   Dingkuhn M, 2008, EUR J AGRON, V28, P74, DOI 10.1016/j.eja.2007.05.005
   Fekete BM., 2002, Global composite runoff fields on observed river discharge and simulated water balances
   Fisher M, 2015, CLIMATIC CHANGE, V133, P283, DOI 10.1007/s10584-015-1459-2
   Giannini A, 2008, CLIMATIC CHANGE, V90, P359, DOI 10.1007/s10584-008-9396-v
   Glotter M, 2014, P NATL ACAD SCI USA, V111, P8776, DOI 10.1073/pnas.1314787111
   Guan K, 2014, BIOGEOSCIENCES, V11, P6939, DOI 10.5194/bg-11-6939-2014
   Guan KY, 2015, GEOPHYS RES LETT, V42, P8001, DOI 10.1002/2015GL063877
   Hammer GL, 2014, CROP PASTURE SCI, V65, P614, DOI 10.1071/CP14088
   Hammer GL, 2010, J EXP BOT, V61, P2185, DOI 10.1093/jxb/erq095
   Harrison MT, 2014, GLOBAL CHANGE BIOL, V20, P867, DOI 10.1111/gcb.12381
   Hawkins E, 2013, AGR FOREST METEOROL, V170, P19, DOI 10.1016/j.agrformet.2012.04.007
   Holzworth DP, 2014, ENVIRON MODELL SOFTW, V62, P327, DOI 10.1016/j.envsoft.2014.07.009
   Jin Z., 2016, GLOB CHANGE BIOL
   Kassie B.T., 2015, CLIMATIC CHANGE, P145
   Kouressy M, 2008, AGR FOREST METEOROL, V148, P357, DOI 10.1016/j.agrformet.2007.09.009
   Kucharik C., 2008, AGRON J
   Kumar SR, 2009, FIELD CROP RES, V111, P157, DOI 10.1016/j.fcr.2008.11.010
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lobell DB, 2015, GLOBAL CHANGE BIOL, V21, P4115, DOI 10.1111/gcb.13022
   Lobell DB, 2014, GLOB FOOD SECUR-AGR, V3, P72, DOI 10.1016/j.gfs.2014.05.002
   Lobell DB, 2014, SCIENCE, V344, P516, DOI 10.1126/science.1251423
   Lobell DB, 2012, PLANT PHYSIOL, V160, P1686, DOI 10.1104/pp.112.208298
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Müller C, 2011, P NATL ACAD SCI USA, V108, P4313, DOI 10.1073/pnas.1015078108
   Muller C., 2010, Climate change impacts on agricultural yields: Background note to the World Development Report 2010
   Nguyen CT, 2013, FUNCT PLANT BIOL, V40, P439, DOI 10.1071/FP12264
   Panthou G, 2014, INT J CLIMATOL, V34, P3998, DOI 10.1002/joc.3984
   Piani C, 2010, THEOR APPL CLIMATOL, V99, P187, DOI 10.1007/s00704-009-0134-9
   Pingali PL, 2012, P NATL ACAD SCI USA, V109, P12302, DOI 10.1073/pnas.0912953109
   Prasad PVV, 2008, CROP SCI, V48, P1911, DOI 10.2135/cropsci2008.01.0036
   Prasad PVV, 2006, AGR FOREST METEOROL, V139, P237, DOI 10.1016/j.agrformet.2006.07.003
   Rosegrant M.W., 2014, FOOD SECURITY WORLD
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Saba A., 2013, GETTING AHEAD CURVE, P3
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Singh P, 2014, AGR FOREST METEOROL, V185, P37, DOI 10.1016/j.agrformet.2013.10.012
   Singh V, 2015, FIELD CROP RES, V171, P32, DOI 10.1016/j.fcr.2014.11.003
   Sultan B, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/104006
   Sultan B, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014040
   Tao FL, 2010, EUR J AGRON, V33, P103, DOI 10.1016/j.eja.2010.04.002
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Traore B, 2014, FIELD CROP RES, V156, P63, DOI 10.1016/j.fcr.2013.10.014
   Traoré SB, 2011, ATMOS SCI LETT, V12, P89, DOI 10.1002/asl.295
   Van der Velde M, 2014, GLOBAL CHANGE BIOL, V20, P1278, DOI 10.1111/gcb.12481
   White JW, 2011, FIELD CROP RES, V124, P357, DOI 10.1016/j.fcr.2011.07.001
NR 55
TC 62
Z9 67
U1 1
U2 124
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0168-1923
EI 1873-2240
J9 AGR FOREST METEOROL
JI Agric. For. Meteorol.
PD JAN 15
PY 2017
VL 232
BP 291
EP 305
DI 10.1016/j.agrformet.2016.07.021
PG 15
WC Agronomy; Forestry; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Forestry; Meteorology & Atmospheric Sciences
GA ED7YY
UT WOS:000389089800024
OA Bronze
DA 2025-01-10
ER

PT J
AU Cheng, LK
AF Cheng, Likwan
TI Superlinear urban scaling by functional organization: A metabolic
   interpretation of sectoral water consumption
SO PHYSICAL REVIEW E
LA English
DT Article
ID SLOW PACE; PHYSIOLOGY; CITIES; SIZE; LIFE; LAWS
AB Prevailing view asserts that the disproportionately greater productivities of larger cities, or superlinear urban scaling, are the result of human interactions channeled by urban networks. But this view was established by considering the spatial organization of urban infrastructure and social networks-the urban "arteries" effects- but neglecting the functional organization of urban production and consumption entities-the urban "organs" effects. Here, adopting a metabolic view and using water consumption as a proxy for metabolism, we empirically quantify the scaling of entity number, size, and metabolic rate for the functionally specific urban residential, commercial, public or institutional, and industrial sectors. Sectoral urban metabolic scaling is highlighted by a disproportionate coordination between residential and enterprise metabolic rates, attributable to the functional mechanisms of mutualism, specialization, and entity size effect. The resultant whole-city metabolic scaling exhibits a constant superlinear exponent for water-abundant regions in numerical agreement with superlinear urban productivity, with varying exponent deviations for water-deficient regions explainable as adaptations to climate-driven resource constraints. These results present a functional organizational, non-social-network explanation of superlinear urban scaling.
C1 [Cheng, Likwan] Harold Washington Coll, City Coll Chicago, Phys Sci Dept, Chicago, IL 60601 USA.
C3 City Colleges of Chicago
RP Cheng, LK (corresponding author), Harold Washington Coll, City Coll Chicago, Phys Sci Dept, Chicago, IL 60601 USA.
EM lcheng6@ccc.edu
RI Cheng, Likwan/C-1436-2013
OI Cheng, Likwan/0000-0002-7183-1157
CR [Anonymous], 2021, Water Resources Plan
   Arbesman S, 2009, PHYS REV E, V79, DOI 10.1103/PhysRevE.79.016115
   Arcaute E, 2015, J R SOC INTERFACE, V12, DOI 10.1098/rsif.2014.0745
   Banavar JR, 2002, P NATL ACAD SCI USA, V99, P10506, DOI 10.1073/pnas.162216899
   Batty M, 2013, NEW SCIENCE OF CITIES, P1
   Batty M, 2013, SCIENCE, V340, P1418, DOI 10.1126/science.1239870
   Begon M., 1996, ECOLOGY
   Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104
   Bettencourt LMA, 2013, SCIENCE, V340, P1438, DOI 10.1126/science.1235823
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Brelsford C, 2017, P NATL ACAD SCI USA, V114, P8963, DOI 10.1073/pnas.1606033114
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   California Department of Water Resources, 2022, CAL WAT SYST
   California Department of Water Resources, 2022, WATER USE EFFICIENCY
   Cheng L., 2021, WATER ENERGY NEXUS, V4, P1
   Cheng L, 2020, ENVIRON SCI TECHNOL, V54, P5071, DOI 10.1021/acs.est.9b05982
   Cheng L, 2018, PHYS REV E, V98, DOI 10.1103/PhysRevE.98.062323
   Cheng L, 2017, PHYS REV E, V96, DOI 10.1103/PhysRevE.96.062317
   Cottineau C, 2017, COMPUT ENVIRON URBAN, V63, P80, DOI 10.1016/j.compenvurbsys.2016.04.006
   De Veaux R., 2022, INTRO STATS, V6th
   Golubiewski N, 2012, AMBIO, V41, P751, DOI 10.1007/s13280-011-0232-7
   Illinois State Water Survey, 2012, ILL MUN WAT US
   Jacobs J., 1961, DEATH LIFE GREAT AM
   Kennedy C, 2011, ENVIRON POLLUT, V159, P1965, DOI 10.1016/j.envpol.2010.10.022
   Keuschnigg M, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aav0042
   Likwan Cheng, 2023, PHYS REV E, V107, DOI [10.1103/PhysRevE.107.034301, DOI 10.1103/PHYSREVE.107.034301]
   Liu XC, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0236593
   Lobo J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058407
   Missouri Department of Natural Resources, 2021, CENS MISS PUBL WAT S
   National Academies of Sciences Engineering and Medicine, 2016, PATHW URB SUST CHALL
   New York State Department of Environmental Conservation, 2022, WAT WITHDR DAT
   Newell JP, 2015, PROG HUM GEOG, V39, P702, DOI 10.1177/0309132514558442
   Nidzieko NJ, 2018, P NATL ACAD SCI USA, V115, P6733, DOI 10.1073/pnas.1719963115
   Nishikawa T, 2016, PHYS REV LETT, V117, DOI 10.1103/PhysRevLett.117.114101
   Ortman SG, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400066
   Pan W, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms2961
   Pennsylvania Department of Environmental Protection, WAT REP
   Ramaswami A, 2018, J IND ECOL, V22, P392, DOI 10.1111/jiec.12563
   Ramaswami A, 2016, SCIENCE, V352, P940, DOI 10.1126/science.aaf7160
   Rinaldo A, 2014, P NATL ACAD SCI USA, V111, P2417, DOI 10.1073/pnas.1322700111
   Rodriguez-Iturbe I, 2011, P NATL ACAD SCI USA, V108, P11751, DOI 10.1073/pnas.1107561108
   Savage VM, 2007, P NATL ACAD SCI USA, V104, P4718, DOI 10.1073/pnas.0611235104
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P7687, DOI 10.1073/pnas.1117622109
   Smith Carl., 2006, The Plan of Chicago: Daniel Burnham and the Remaking of the American City
   Tarbuck EJ., 2017, Earth science, V15th
   UN Habitat, 2020, WORLD CIT REP 2020 V
   Utah Department of Natural Resources, 2021, MUN IND WAT US DAT
   Vasseur F, 2018, P NATL ACAD SCI USA, V115, P3416, DOI 10.1073/pnas.1709141115
   Weibel ER, 2002, NATURE, V417, P131, DOI 10.1038/417131a
   West G., 2017, SCALE UNIVERSAL LAWS
   West GB, 1997, SCIENCE, V276, P122, DOI 10.1126/science.276.5309.122
   White CR, 2010, NATURE, V464, P691, DOI 10.1038/464691a
   Wiersma P, 2007, P NATL ACAD SCI USA, V104, P9340, DOI 10.1073/pnas.0702212104
   Wiersma P, 2012, J EXP BIOL, V215, P1662, DOI 10.1242/jeb.065144
   Wisconsin Public Service Commission, 2021, WAT UT DAT
   Yakubo K, 2014, PHYS REV E, V90, DOI 10.1103/PhysRevE.90.022803
   Yang VCQ, 2019, PHYS REV E, V100, DOI 10.1103/PhysRevE.100.032306
   Zaoli S, 2017, P NATL ACAD SCI USA, V114, P10672, DOI 10.1073/pnas.1708376114
   Zhang Y, 2015, ENVIRON SCI TECHNOL, V49, P11247, DOI 10.1021/acs.est.5b03060
NR 59
TC 0
Z9 0
U1 4
U2 15
PU AMER PHYSICAL SOC
PI COLLEGE PK
PA ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA
SN 2470-0045
EI 2470-0053
J9 PHYS REV E
JI Phys. Rev. E
PD MAR 1
PY 2023
VL 107
IS 3
AR 034301
DI 10.1103/PhysRevE.107.034301
PG 10
WC Physics, Fluids & Plasmas; Physics, Mathematical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physics
GA 9N9QJ
UT WOS:000943242300001
PM 37072995
DA 2025-01-10
ER

PT J
AU Portalanza, D
   Ortega, C
   Garzon, L
   Bello, M
   Zuluaga, CF
   Bresciani, C
   Durigon, A
   Ferraz, S
AF Portalanza, Diego
   Ortega, Carlos
   Garzon, Liliam
   Bello, Melissa
   Zuluaga, Cristian Felipe
   Bresciani, Caroline
   Durigon, Angelica
   Ferraz, Simone
TI Projected Heat Waves in Ecuador under Climate Change: Insights from
   HadGEM-RegCM4 Coupled Model
SO EARTH
LA English
DT Article
DE heatwaves; Ecuador; regional climate model; RegCM4; HadGEM
ID CORDEX; TEMPERATURE; PRECIPITATION; INDEXES; SCHEME
AB This study examines heat wave projections across Ecuador's Coastal, Highlands, and Amazon regions for 1975-2004 and 2070-2099 under Representative Concentration Pathways (RCP) scenarios 2.6, 4.5, and 8.5. Employing dynamic downscaling, we identify significant increases in heatwave intensity and maximum air temperatures (Tmax), particularly under RCP 8.5, with the Coastal region facing the most severe impacts. A moderate positive correlation between Tmax and climate indices such as the Pacific Decadal Oscillation (PDO) and the Oceanic Nino Index (ONI) suggests regional climatic influences on heatwave trends. These findings highlight the critical need for integrated climate adaptation strategies in Ecuador, focusing on mitigating risks to health, agriculture, and ecosystems. Proposed measures include urban forestry initiatives and the promotion of cool surfaces, alongside enhancing public awareness and access to cooling resources. This research contributes to the understanding of climate change impacts in Latin America, underscoring the urgency of adopting targeted adaptation and resilience strategies against urban heat island effects in Ecuador's urban centers.
C1 [Portalanza, Diego; Durigon, Angelica; Ferraz, Simone] Univ Fed Santa Maria, Dept Phys, Climate Res Grp, Ave Roraima, BR-97105900 Santa Maria, Brazil.
   [Portalanza, Diego; Ortega, Carlos; Garzon, Liliam; Bello, Melissa] Univ Agr Ecuador UAE, Fac Ciencias Agr, Carrera Ingn Ambiental, Ave 25 Julio, Guayaquil 090104, Ecuador.
   [Portalanza, Diego] Univ Agr Ecuador UAE, Escuela Posgrad Ing Jacobo Bucaram Ortiz PhD, Ave 25 Julio, Guayaquil 090104, Ecuador.
   [Zuluaga, Cristian Felipe] Corp Univ Santa Rosa de Cabal UNISARC, Fac Agr Sci, Santa Rosa De Cabal 661028, Colombia.
   [Bresciani, Caroline] Natl Inst Space Res INPE, BR-12630970 Cachoeira Paulista, Brazil.
C3 Universidade Federal de Santa Maria (UFSM)
RP Portalanza, D (corresponding author), Univ Fed Santa Maria, Dept Phys, Climate Res Grp, Ave Roraima, BR-97105900 Santa Maria, Brazil.; Portalanza, D (corresponding author), Univ Agr Ecuador UAE, Fac Ciencias Agr, Carrera Ingn Ambiental, Ave 25 Julio, Guayaquil 090104, Ecuador.; Portalanza, D (corresponding author), Univ Agr Ecuador UAE, Escuela Posgrad Ing Jacobo Bucaram Ortiz PhD, Ave 25 Julio, Guayaquil 090104, Ecuador.
EM dportalanza@uagraria.edu.ec; cortega@uagraria.edu.ec;
   lgarzon@uagraria.edu.ec; mbello@uagraria.edu.ec;
   cristian.zuluaga@unisarc.edu.co; caroline.bresciani@inpe.br;
   angelica.durigon@ufsm.br; simonetfe@ufsm.br
RI Bresciani, Caroline/AFU-9842-2022; Zuluaga, Cristian/AAI-3990-2021;
   Portalanza, Diego/JXY-1209-2024; Teleginski Ferraz, Simone
   Erotildes/G-1276-2012; Durigon, Angelica/D-5844-2012
OI Teleginski Ferraz, Simone Erotildes/0000-0002-9688-7480; Bresciani,
   Caroline/0000-0001-8335-2017; Bello Velez, Melissa
   Isabel/0009-0008-4207-5226; Zuluaga Aristizabal, Cristian
   Felipe/0000-0001-7580-962X; Durigon, Angelica/0000-0003-3830-5056;
   Portalanza, Diego/0000-0001-5275-0741
FU National Council for Scientific and Technological Development (CNPq,
   Brazil); Coordination for the Improvement of Higher Education Personnel
   (CAPES, Brazil)
FX The authors recognize the National Council for Scientific and
   Technological Development (CNPq, Brazil) and Coordination for the
   Improvement of Higher Education Personnel (CAPES, Brazil).
CR Allen MR, 2002, NATURE, V419, P224, DOI 10.1038/nature01092
   Almazroui M, 2021, EARTH SYST ENVIRON, V5, P155, DOI 10.1007/s41748-021-00233-6
   Avila-Diaz A, 2023, EARTH SYST ENVIRON, V7, P99, DOI 10.1007/s41748-022-00337-7
   Bakhsh K, 2018, SUSTAIN CITIES SOC, V41, P95, DOI 10.1016/j.scs.2018.05.021
   Blackmore I, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100279
   Campozano L, 2017, INT J CLIMATOL, V37, P363, DOI 10.1002/joc.5008
   Ceccherini G, 2016, NAT HAZARD EARTH SYS, V16, P821, DOI 10.5194/nhess-16-821-2016
   Chimborazo O, 2021, THEOR APPL CLIMATOL, V143, P1581, DOI 10.1007/s00704-020-03483-y
   Coppola E, 2021, CLIM DYNAM, V57, P1293, DOI 10.1007/s00382-021-05640-z
   Recalde-Coronel GC, 2014, J APPL METEOROL CLIM, V53, P1471, DOI 10.1175/JAMC-D-13-0133.1
   Demortier A, 2021, CLIM DYNAM, V57, P2415, DOI 10.1007/s00382-021-05810-z
   Diaz-Chavez L., 2024, Case Studies in Chemical and Environmental Engineering, V9, DOI [10.1016/j.cscee.2024.100617, DOI 10.1016/J.CSCEE.2024.100617]
   Dibike YB, 2005, J HYDROL, V307, P145, DOI 10.1016/j.jhydrol.2004.10.012
   Donk P, 2018, REG ENVIRON CHANGE, V18, P2283, DOI 10.1007/s10113-018-1339-1
   EMANUEL KA, 1991, J ATMOS SCI, V48, P2313, DOI 10.1175/1520-0469(1991)048<2313:ASFRCC>2.0.CO;2
   Fernández-Ledesma CM, 2023, SCI AGROPEC, V14, P301, DOI 10.17268/sci.agropecu.2023.026
   Feron S, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-44614-4
   Fischer EM, 2021, NAT CLIM CHANGE, V11, P689, DOI 10.1038/s41558-021-01092-9
   Geirinhas JL, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abe0eb
   Giorgi F, 2012, CLIM RES, V52, P7, DOI 10.3354/cr01018
   Giorgi F, 2022, B AM METEOROL SOC, V103, pE293, DOI 10.1175/BAMS-D-21-0119.1
   Gutierrez H, 2020, HUM ECOL, V48, P383, DOI 10.1007/s10745-020-00165-1
   Gutowski WJ, 2016, GEOSCI MODEL DEV, V9, P4087, DOI 10.5194/gmd-9-4087-2016
   HOLTSLAG AAM, 1990, MON WEATHER REV, V118, P1561, DOI 10.1175/1520-0493(1990)118<1561:AHRAMT>2.0.CO;2
   Hwang S, 2013, HYDROL EARTH SYST SC, V17, P4481, DOI 10.5194/hess-17-4481-2013
   Ivanov V., 2021, Advances in High Performance Computing, P309, DOI [10.1007/978-3-030-55347-0_27, DOI 10.1007/978-3-030-55347-0_27]
   Jones PD, 1999, CLIMATIC CHANGE, V42, P131, DOI 10.1023/A:1005468316392
   Khan N, 2021, STOCH ENV RES RISK A, V35, P1335, DOI 10.1007/s00477-020-01963-1
   Khan N, 2020, ATMOS RES, V233, DOI 10.1016/j.atmosres.2019.104688
   Leal W, 2023, INT J CLIM CHANG STR, V15, P1, DOI 10.1108/IJCCSM-07-2021-0078
   Lemus-Canovas M, 2024, NPJ CLIM ATMOS SCI, V7, DOI 10.1038/s41612-024-00569-6
   Lopez G, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12030299
   Maggiotto G, 2021, ENVIRON RES, V197, DOI 10.1016/j.envres.2021.111066
   Mamalakis A, 2017, WATER RESOUR RES, V53, P2149, DOI 10.1002/2016WR019578
   Martin GM, 2011, GEOSCI MODEL DEV, V4, P723, DOI 10.5194/gmd-4-723-2011
   Massonnet F, 2016, SCIENCE, V354, P452, DOI 10.1126/science.aaf6369
   Mazdiyasni O, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-50643-w
   McGregor G.R., 2015, Heatwaves and health: guidance on warning-system development
   Naserikia M, 2023, SCI TOTAL ENVIRON, V905, DOI 10.1016/j.scitotenv.2023.167306
   Naserikia M, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-19431-x
   Ochoa A, 2016, INT J CLIMATOL, V36, P1244, DOI 10.1002/joc.4418
   Overland JE, 2011, J CLIMATE, V24, P1583, DOI 10.1175/2010JCLI3462.1
   Pal JS, 2000, J GEOPHYS RES-ATMOS, V105, P29579, DOI 10.1029/2000JD900415
   Pappalardo SE, 2023, LANDSCAPE URBAN PLAN, V238, DOI 10.1016/j.landurbplan.2023.104831
   Perkins SE, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053361
   Perkins-Kirkpatrick SE, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16970-7
   Portalanza D, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12111828
   Potgieter J, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.720323
   Qin Y, 2020, NAT CLIM CHANGE, V10, P459, DOI 10.1038/s41558-020-0746-8
   Reboita MS, 2014, CLIM RES, V60, P215, DOI 10.3354/cr01239
   Robinson PJ, 2001, J APPL METEOROL, V40, P762, DOI 10.1175/1520-0450(2001)040<0762:OTDOAH>2.0.CO;2
   Rosa L, 2020, P NATL ACAD SCI USA, V117, P29526, DOI 10.1073/pnas.2017796117
   Sharifi A, 2023, SUSTAIN CITIES SOC, V99, DOI 10.1016/j.scs.2023.104910
   Swain SS, 2024, J HYDROL ENG, V29, DOI 10.1061/JHYEFF.HEENG-6026
   Tedesco M, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16010042
   Teodoro TA, 2021, EARTH SYST ENVIRON, V5, P825, DOI 10.1007/s41748-021-00265-y
   Ullah I, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002240
   van Heerwaarden B., 2019, Encyclopedia of Ecology, P197, DOI [10.1016/B978-0-12-409548-9.09136-3, DOI 10.1016/B978-0-12-409548-9.09136-3]
   Vignola R, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12102535
   Xie WX, 2021, INT J CLIMATOL, V41, P3865, DOI 10.1002/joc.7047
   Yemih PD, 2023, CLIM DYNAM, V60, P2343, DOI 10.1007/s00382-022-06458-z
   Yu K, 2021, ATMOS RES, V255, DOI 10.1016/j.atmosres.2021.105535
   Zhang JT, 2024, WEATHER CLIM EXTREME, V43, DOI 10.1016/j.wace.2024.100643
NR 63
TC 0
Z9 0
U1 1
U2 1
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2673-4834
J9 EARTH-BASEL
JI Earth
PD MAR
PY 2024
VL 5
IS 1
BP 90
EP 109
DI 10.3390/earth5010005
PG 20
WC Environmental Sciences; Geosciences, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Geology
GA MC8Q1
UT WOS:001191523000001
OA gold
DA 2025-01-10
ER

PT J
AU Coffman, M
   Bremer, L
   Summers, A
   Newfield, C
   Kelley, LC
AF Coffman, Makena
   Bremer, Leah
   Summers, Alisha
   Newfield, Conrad
   Kelley, Lisa C.
TI (Un)managed retreat? Perspectives on biophysical and social dynamics of
   coastal retreat on O'ahu, Hawai'i
SO JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
LA English
DT Article; Early Access
DE Managed retreat; sea level rise adaptation; beach preservation; climate
   adaptation
ID SEA-LEVEL; MANAGED RETREAT
AB As an island community with world famous beaches, Hawai'i's coastal managers face significant challenges in the face of sea level rise (SLR). Shoreline laws have recently been updated to limit further shoreline hardening, making HawaiModified Letter Turned Commai a salient case study to understand the challenges and opportunities around managed retreat. We interviewed 42 private sector, civil society, and government actors involved with coastal governance and anchored our conversations to three distinct communities on O'ahu. Factors that affected participant perspectives on the viability of retreat per site hinged on: 1) physical/natural barriers and opportunities; 2) perceptions of the public value of a beach; 3) the importance of existing infrastructure; and 4) the political influence of coastal homeowners. Participants' views on who should inform the coastal planning process moving forward varied by site. In addition to residents, there was largely agreement that communities should include those with affinity and long-standing relationships with place.
C1 [Coffman, Makena; Newfield, Conrad] Univ Hawaii Manoa, Inst Sustainabil & Resilience, Honolulu, HI 96822 USA.
   [Coffman, Makena; Summers, Alisha; Newfield, Conrad] Univ Hawaii Manoa, Dept Reg & Urban Planning, Honolulu, HI 96822 USA.
   [Coffman, Makena; Bremer, Leah; Summers, Alisha] Univ Hawaii Manoa, Univ Hawaii Econ Res Org, Honolulu, HI 96822 USA.
   [Bremer, Leah] Univ Hawaii Manoa, Water Resources Res Ctr, Honolulu, HI USA.
   [Kelley, Lisa C.] Univ CO Denver, Dept Geog & Environm Sci, Denver, CO USA.
C3 University of Hawaii System; University of Hawaii Manoa; University of
   Hawaii System; University of Hawaii Manoa; University of Hawaii System;
   University of Hawaii Manoa; University of Hawaii System; University of
   Hawaii Manoa
RP Coffman, M (corresponding author), Univ Hawaii Manoa, Inst Sustainabil & Resilience, Honolulu, HI 96822 USA.; Coffman, M (corresponding author), Univ Hawaii Manoa, Dept Reg & Urban Planning, Honolulu, HI 96822 USA.; Coffman, M (corresponding author), Univ Hawaii Manoa, Univ Hawaii Econ Res Org, Honolulu, HI 96822 USA.
EM makenaka@hawaii.edu
FU National Science Foundation [1939968]; National Science Foundation EAGER
   Coastlines; Office of Naval Research, University of Hawai'i Climate
   Resilience Collaborative
FX We thank our study participants for their time and input. This project
   was funded by the National Science Foundation EAGER Coastlines and
   People #1939968, as well as from the Office of Naval Research,
   University of Hawai'i Climate Resilience Collaborative.
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Ajibade I, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102187
   Alexander KS, 2012, J ENVIRON PLANN MAN, V55, P409, DOI 10.1080/09640568.2011.604193
   Amaya A., 2021, Beggar-Thy-Neighbor's Beach: The Social Cost of Adaptation to Sea-Level Rise
   Anderson TR, 2015, NAT HAZARDS, V78, P75, DOI 10.1007/s11069-015-1698-6
   Bordner AS, 2020, GLOBAL ENVIRON CHANG, V61, DOI 10.1016/j.gloenvcha.2020.102054
   Bremer LL, 2022, OCEAN COAST MANAGE, V225, DOI 10.1016/j.ocecoaman.2022.106151
   Cocke S., 2013, Honolulu Civil Beat
   Cocke S., 2021, Honolulu Star-Advertiser
   Cocke S., 2020, ProPublica
   Cocke S., 2022, Honolulu Star-Advertiser
   Cocke S., 2020, ProPublica, Honolulu Star-Advertiser
   Cocke S., 2011, Honolulu Civil Beat
   Craig RK, 2019, CLIMATIC CHANGE, V152, P215, DOI 10.1007/s10584-018-2203-5
   Daysog R., 2013, Hawaii News Now
   Dedekorkut-Howes A, 2020, J ENVIRON PLANN MAN, V63, P2102, DOI 10.1080/09640568.2019.1708709
   Dundon LA, 2021, CLIM RISK MANAG, V33, DOI 10.1016/j.crm.2021.100337
   Eversole D, 2009, State of Hawai'i DLNR OCCL
   Forsyth A, 2021, LANDSCAPE URBAN PLAN, V205, DOI 10.1016/j.landurbplan.2020.103957
   Geisler C, 2017, LAND USE POLICY, V66, P322, DOI 10.1016/j.landusepol.2017.03.029
   Göransson G, 2021, J ENVIRON STUD SCI, V11, P376, DOI 10.1007/s13412-021-00696-z
   Grannis J., 2011, Adaptation Tool Kit: Sea-Level Rise and Coastal Land Use - How Governments Can Use Land-Use Practices to Adapt to Sea-Level Rise
   Greenlees K, 2021, J ENVIRON STUD SCI, V11, P503, DOI 10.1007/s13412-021-00686-1
   Grieving S., 2018, J.Extr. Even., V05, DOI DOI 10.1142/S2345737618500112
   Hanna C., 2019, OXFORD RES ENCY NATU, DOI [10.1093/acrefore/9780199389407.013.350, DOI 10.1093/ACREFORE/9780199389407.013.350]
   Hawai'i Climate Change Mitigation and Adaptation Commission, 2021, State of Hawai'i Sea Level Rise Viewer
   Hawai'i Climate Change Mitigation and Adaptation Commission, 2017, Hawai'i Sea Level Rise Vulnerability and Adaptation Report, V64064
   Hawai'i Department of Transportation, 2015, Kamehameha Highway Shoreline Emergency Repairs in Ka'a'awa to Begin Tomorrow
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Kauanoe K., 2021, Honolulu Civil Beat
   Kittinger JN, 2010, COAST MANAGE, V38, P634, DOI 10.1080/08920753.2010.529038
   Koslov L, 2016, PUBLIC CULTURE, V28, P359, DOI 10.1215/08992363-3427487
   Mach KJ, 2021, SCIENCE, V372, P1294, DOI 10.1126/science.abh1894
   Mach KJ, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax8995
   McLaughlin R.J., 2011, Journal of Land Use Environmental Law, V26, P365
   Neal WJ, 2018, OCEAN COAST MANAGE, V156, P21, DOI 10.1016/j.ocecoaman.2017.05.003
   Nichols S.S., 2008, Sea Grant Law Policy Journal, V1, P19
   Office of Conservation and Coastal Lands (OCCL), 2022, BOARD LAND NAT RES M
   Office of Conservation and Coastal Lands (OCCL), 2012, BOARD LAND NAT RES M
   Office of Planning, 2008, Report to the Hawaii State Legislature in Response to HCR No. 258
   Onat Y, 2018, OCEAN COAST MANAGE, V157, P147, DOI 10.1016/j.ocecoaman.2018.02.021
   Setter RO, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-38939-4
   Siders A., 2013, Managed coastal retreat: A legal handbook on shifting development away from vulnerable areas
   Siders AR, 2021, J ENVIRON STUD SCI, V11, P287, DOI 10.1007/s13412-021-00700-6
   Siders AR, 2020, OCEAN COAST MANAGE, V183, DOI 10.1016/j.ocecoaman.2019.105023
   Siders AR, 2019, SCIENCE, V365, P761, DOI 10.1126/science.aax8346
   State of Hawai'i Department of Health, 2017, On-site Sewage Disposal Systems: Oahu
   State of Hawai'i Office of Planning, 2019, Assessing the Feasibility and Implications of Managed Retreat Strategies for Vulnerable Coastal Areas in Hawai'i
   State of Hawai'i V. O'Shea, 2021, Civil No. 17-1-1542
   Summers A, 2018, CLIMATIC CHANGE, V151, P427, DOI 10.1007/s10584-018-2327-7
   Tavares KD, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70577-y
   Thomsen DC, 2009, J COASTAL RES, P1316
   Titus J.G., 2011, Rolling easements
   U.S. Census Bureau, 2019, 20152019 American Community Survey 5-Year Estimates: Honolulu County. Census Tract 101: Waimea-Kahuku, Census Tract 102.01: Hauula-KaaAwa
   US Department of Agriculture Natural Resources Conservation Service, 2016, Gridded Soil Survey Geographic (gSSURGO) Database
   Vaughan M.B., 2018, Kaiaulu: Gathering tides
   Westoby R, 2020, AMBIO, V49, P1466, DOI 10.1007/s13280-019-01294-8
   Wilson C., 2022, Honolulu Star-Advertiser
   Wu N., 2017, Honolulu Star-Advertiser
NR 59
TC 1
Z9 1
U1 3
U2 4
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0964-0568
EI 1360-0559
J9 J ENVIRON PLANN MAN
JI J. Environ. Plan. Manag.
PD 2023 NOV 2
PY 2023
DI 10.1080/09640568.2023.2279019
EA NOV 2023
PG 23
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA EC6T6
UT WOS:001136762300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Le, TTA
   Lan-Anh, NT
   Daskali, V
   Verbist, B
   Vu, KC
   Anh, TN
   Nguyen, QH
   Nguyen, VG
   Willems, P
AF Le, T. T. A.
   Lan-Anh, N. T.
   Daskali, V.
   Verbist, B.
   Vu, K. C.
   Anh, T. N.
   Nguyen, Q. H.
   Nguyen, V. G.
   Willems, P.
TI Urban flood hazard analysis in present and future climate after
   statistical downscaling: a case study in Ha Tinh city, Vietnam
SO URBAN WATER JOURNAL
LA English
DT Article
DE Urban flooding; statistical downscaling; climate change; Ha Tinh city
   -Vietnam
AB Vietnamese cities are highly vulnerable to urban flooding as a consequence of climate change and rapid urbanisation. In this study, current and future pluvial urban flood hazard was assessed for Ha Tinh city. Climate scenarios were obtained after statistical downscaling by applying a quantile-perturbation approach on ensembles of 170 global and 20 regional climate models. Flood impact analysis was based on the 1D-2D dual drainage modelling approach. Extreme daily rainfall intensities are projected to increase by 5 to 20%, whereas wet day frequency will decrease with some uncertainty. Larger changes in rainfall intensities were obtained for the finer scale climate models. Under the 95% upper limit scenario for future rainfall intensities (2071-2100), a 20-year intensity in the current climate would become a 2-year storm in the future and the flood extent is projected to increase by 30-40%. This indicates a need for climate adaptation measures and sustainable future urban planning.
C1 [Le, T. T. A.; Daskali, V.; Willems, P.] Katholieke Univ Leuven, Hydraul Sect, Dept Civil Engn, Leuven, Belgium.
   [Le, T. T. A.; Anh, T. N.] VNU Univ Sci, Ctr Environm Fluid Dynam, Hanoi, Vietnam.
   [Lan-Anh, N. T.; Vu, K. C.] VNU Inst Vietnamese Studies & Dev Sci, Dept Dev Studies, Hanoi, Vietnam.
   [Verbist, B.; Nguyen, V. G.] Katholieke Univ Leuven, Div Forest Nat & Landscape, Dept Earth & Environm Sci, Leuven, Belgium.
   [Anh, T. N.; Nguyen, Q. H.] VNU Univ Sci, Fac Hydrol Meteorol & Oceanog, Hanoi, Vietnam.
   [Nguyen, V. G.] Vietnam Acad Sci & Technol, Space Technol Inst, Hanoi, Vietnam.
   [Willems, P.] Vrije Univ Brussel, Dept Hydrol & Hydraul Engn, Brussels, Belgium.
C3 KU Leuven; Vietnam National University Hanoi (VNU Hanoi) System; VNU
   University of Science (VNU-HUS); Vietnam National University Hanoi (VNU
   Hanoi) System; VNU University of Languages & International Studies
   (VNU-ULIS); KU Leuven; Vietnam National University Hanoi (VNU Hanoi)
   System; VNU University of Science (VNU-HUS); Vietnam Academy of Science
   & Technology (VAST); Vrije Universiteit Brussel
RP Le, TTA (corresponding author), Katholieke Univ Leuven, Hydraul Sect, Dept Civil Engn, Leuven, Belgium.; Le, TTA (corresponding author), VNU Univ Sci, Ctr Environm Fluid Dynam, Hanoi, Vietnam.
EM thituyetanh.le@kuleuven.be
RI Nguyen, Vu/HGV-1806-2022; Verbist, Bruno/D-3767-2013
OI Verbist, Bruno/0000-0001-5169-7176; Vu, Kim Chi/0000-0002-8695-1661; Le,
   Thi Tuyet Anh/0000-0001-8983-7306; Nguyen Vu, Giang/0000-0002-6989-2778
FU VLIRUOS TEAM project
FX This research was supported by a Ph.D. fellowship grant as part of the
   VLIRUOS TEAM project, namely WAMADE (WAter MAnagement and urban
   DEvelopment in Ha Tinh in relation to climate change). The project is
   conducted in cooperation with VNU Institute of Vietnamese Studies and
   Development Science, Vietnam (VNU-IVIDES), and KU Leuven, Belgium.
CR Ahmadalipour A, 2018, CLIM DYNAM, V50, P717, DOI 10.1007/s00382-017-3639-4
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Arnbjerg-Nielsen K, 2013, WATER SCI TECHNOL, V68, P16, DOI 10.2166/wst.2013.251
   Artina S, 2007, ENVIRON MODELL SOFTW, V22, P1221, DOI 10.1016/j.envsoft.2006.11.002
   Casse T, 2015, NAT HAZARDS, V79, P2145, DOI 10.1007/s11069-015-1952-y
   Donat MG, 2017, NAT CLIM CHANGE, V7, P154, DOI 10.1038/NCLIMATE3160
   Nguyen-Le D, 2016, INT J CLIMATOL, V36, P3002, DOI 10.1002/joc.4533
   Hamouz V, 2020, URBAN WATER J, V17, P813, DOI 10.1080/1573062X.2020.1828500
   Hosseinzadehtalaei P, 2018, ATMOS RES, V200, P1, DOI 10.1016/j.atmosres.2017.09.015
   HTSO (Ha Tinh Statistics Office), 2019, HA TINH STAT YB 2019
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   KATZFEY J, 2016, ASIA-PAC J ATMOS SCI, V52
   Keifer C. J., 1957, Journal of the Hydraulics Division, V83, P1, DOI [DOI 10.1061/JYCEAJ.0000104, https://doi.org/10.1061/JYCEAJ.0000104]
   KLEIDORFER M, 2009, WATER SCI TECHNOL, V60
   LEANDRO J, 2009, J HYDRAUL ENG-ASCE, V135
   LI W, 2016, NAT HAZARDS, V82
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Ngo-Duc T., 2014, COASTAL DISASTERS CL, P175, DOI [10.1016/B978-0-12-800007-6.00008-3, DOI 10.1016/B978-0-12-800007-6.00008-3]
   Nguyen KC, 2014, CLIM DYNAM, V43, P861, DOI 10.1007/s00382-013-1976-5
   Nguyen V.-T.V., 2012, IMPACT CLIMATE CHANG
   Ntegeka V, 2014, J HYDROL, V508, P307, DOI 10.1016/j.jhydrol.2013.11.001
   OLSSON J, 1994, WATER SCI TECHNOL, V29, P47, DOI 10.2166/wst.1994.0650
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Schmitt TG, 2004, J HYDROL, V299, P300, DOI 10.1016/S0022-1694(04)00374-9
   Schubert D, 2017, INT J CLIMATOL, V37, P4211, DOI 10.1002/joc.5062
   Semadeni-Davies A., 2008, J HYDROL, V350
   Stephens GL, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2010JD014532
   Sunyer MA, 2015, HYDROL EARTH SYST SC, V19, P1827, DOI 10.5194/hess-19-1827-2015
   Tabari H, 2015, GLOBAL PLANET CHANGE, V131, P115, DOI 10.1016/j.gloplacha.2015.05.012
   Tan KM, 2019, URBAN WATER J, V16, P156, DOI 10.1080/1573062X.2019.1634744
   TEUTSCHBEIN C, 2012, J HYDROL, V6457
   Thorndahl S, 2008, J HYDROL, V357, P421, DOI 10.1016/j.jhydrol.2008.05.027
   Thorndahl S, 2006, WATER SCI TECHNOL, V54, P49, DOI 10.2166/wst.2006.621
   Toreti A, 2013, GEOPHYS RES LETT, V40, P4887, DOI 10.1002/grl.50940
   Tran T., 2016, Climate Change and Sea Level Rise Scenarios for Viet Nam-Summary for Policymakers
   TUAN BM, 2019, J CLIMATE, V32
   Van Uytven E, 2018, J HYDROL, V558, P9, DOI 10.1016/j.jhydrol.2018.01.018
   VAWR (Vietnam Academy for Water Resources), 2017, INTEGRATED WATER RES
   Willems P, 2013, J HYDROL, V496, P166, DOI 10.1016/j.jhydrol.2013.05.037
   Willems P, 2011, J HYDROL, V402, P193, DOI 10.1016/j.jhydrol.2011.02.030
   Willems P, 2000, J HYDROL, V233, P189, DOI 10.1016/S0022-1694(00)00233-X
   Willems P, 2007, J HYDROL, V338, P221, DOI 10.1016/j.jhydrol.2007.02.035
   XIE J, 2017, ENVIRON MODELL SOFTW, V95
NR 44
TC 14
Z9 14
U1 1
U2 22
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1573-062X
EI 1744-9006
J9 URBAN WATER J
JI Urban Water J.
PD APR 21
PY 2021
VL 18
IS 4
BP 257
EP 274
DI 10.1080/1573062X.2021.1877744
EA FEB 2021
PG 18
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA RG8PD
UT WOS:000614175700001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Rannow, S
AF Rannow, Sven
TI Climate-adapted conservation: how to identify robust strategies for the
   management of reindeer in Hardangervidda National Park (Norway)
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Conservation management; Climate change; Risk management; Adaptation;
   Reindeer
ID WILD REINDEER; INFRASTRUCTURE DEVELOPMENT; SVALBARD REINDEER; AUTUMN
   WEIGHT; POPULATION; CARIBOU; ADAPTATION; IMPACTS; PREDICTIONS; PATTERNS
AB This paper presents an assessment scheme that should help local conservation management in their adaptation to potential effects of climate change. It can be used for the identification of robust adaptation options at site level. The assessment scheme was applied to the management of Europe's largest population of wild mountain reindeer (Rangifer tarandus tarandus) living in the arctic-alpine plateau of Hardangervidda in south-western Norway. At first, the last four decades (1964-2004) were analysed to identify climate- and non-climate-related driving forces affecting the population. In addition, regional projections of climate change were used to build scenarios for the potential effects on these driving forces until 2050. In the second step, the potential effects of climate change were classified according to the risk they pose to the conservation of reindeer in Hardangervidda. Based on this assessment, no-regret strategies for biodiversity management under changing climate conditions could be identified.
C1 Leibniz Inst Ecol Urban & Reg Dev, D-01217 Dresden, Germany.
C3 Leibniz Institut fur okologische Raumentwicklung
RP Rannow, S (corresponding author), Leibniz Inst Ecol Urban & Reg Dev, D-01217 Dresden, Germany.
EM s.rannow@ioer.de
FU German Academic Exchange Service; European Community; ERDF [2CE168P3];
   CENTRAL EUROPE Programme
FX I would like to thank the German Academic Exchange Service and the
   European Community for providing a scholarship and a Marie Curie
   Fellowship. Special thanks are also due to the INTERREG IVB Project
   HABIT-CHANGE (2CE168P3) financed by ERDF and the CENTRAL EUROPE
   Programme.
CR Aanes R, 2002, ECOL LETT, V5, P445, DOI 10.1046/j.1461-0248.2002.00340.x
   Aanes R, 2000, ECOGRAPHY, V23, P437, DOI 10.1034/j.1600-0587.2000.230406.x
   Aanes R, 2003, CAN J ZOOL, V81, P103, DOI 10.1139/Z02-227
   Andersen R, 2003, TILVEKST STRUKTUR VI
   Andersen R., 2004, VILLREIN SAMFUNN VEI
   Andersen R, 2005, TILVEKST STRUKTUR VI
   [Anonymous], PRELIMINARY REV ADAP
   [Anonymous], 2005, PNWGTR654 USDA FOR S, DOI DOI 10.2737/PNW-GTR-654
   [Anonymous], 2004, IMP WARM ARCT
   [Anonymous], GUID WAT AD CLIM CHA
   Apostolakis GE, 2004, RISK ANAL, V24, P515, DOI 10.1111/j.0272-4332.2004.00455.x
   Austrheim G, 2001, ECOGRAPHY, V24, P683, DOI 10.1034/j.1600-0587.2001.240607.x
   Baskin LM, 1990, RANGIFER, V3, P151
   Bergerud A.T.., 1996, RANGIFER, P95, DOI [10.7557/2.16.4.1225, DOI 10.7557/2.16.4.1225]
   Biesbroek GR, 2009, HABITAT INT, V33, P230, DOI 10.1016/j.habitatint.2008.10.001
   BROOKS Mark., 2009, Prioritizing Climate Change Risks and Actions on Adaptation, A Review of Selected Institutions, Tools, and Approaches
   Bruteig EI, 2003, 071 NINA
   Carter TR, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P133
   Carvalho SB, 2010, GLOBAL CHANGE BIOL, V16, P3257, DOI 10.1111/j.1365-2486.2010.02212.x
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Colman JE, 2003, J WILDLIFE MANAGE, V67, P11, DOI 10.2307/3803056
   Colman JE, 2001, RANGIFER, V14, P313
   Conroy MJ, 2011, BIOL CONSERV, V144, P1204, DOI 10.1016/j.biocon.2010.10.019
   Coughlan JC, 2003, NEW SCI
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Direktoratet for naturforvaltning (DIRNAT), 2003, 20031 DIRNAT
   Engen-Skaugen T, 2008, 23A NORW MET I
   Ferguson MAD, 1996, GEOSCI CAN, V23, P245
   Fjellstad WJ, 1999, LANDSCAPE URBAN PLAN, V45, P177, DOI 10.1016/S0169-2046(99)00055-9
   Gaare E, 2005, 53 NINA
   GATES CC, 1986, ARCTIC, V39, P216
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hansen L.J., 2011, CLIMATE SAVVY ADAPTI
   Hanssen-Bauer I., 2005, Report no. 15/2005
   Hassol SusanJoy., 2004, IMPACTS WARMING ARCT
   Heggberget Thrine Moen, 2002, Rangifer, V22, P13
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hesjedal O., 1975, Fennoscandian tundra ecosystems. Part 1. Plants and microorganisms., P74
   Hobbs RJ, 2010, FRONT ECOL ENVIRON, V8, P483, DOI 10.1890/090089
   Holling C.S., 1978, Adaptive environmental assessment and management
   Inkley DB, 2004, WILDLIFE SOC TECHNIC
   Jacobs J.D., 1996, Rangifer, V16, P193
   Jäger J, 2011, REG ENVIRON CHANGE, V11, P213, DOI 10.1007/s10113-010-0148-y
   Klein DR, 1991, RANGIFER, V7, P31, DOI [DOI 10.7557/2.11.4.990, 10.7557/2.11.4.990]
   Lawler JJ, 2009, ANN NY ACAD SCI, V1162, P79, DOI 10.1111/j.1749-6632.2009.04147.x
   Lee SE, 2000, POLAR RES, V19, P99, DOI 10.1111/j.1751-8369.2000.tb00333.x
   Lenart EA, 2002, CAN J ZOOL, V80, P664, DOI 10.1139/Z02-034
   Levin SA, 1998, ECOSYSTEMS, V1, P431, DOI 10.1007/s100219900037
   Lilleeng MS, 2008, ATFERDSRESPONSER HO, V2008, P31
   LYE K A, 1975, Norwegian Journal of Botany, V22, P7
   Marris E, 2011, NATURE, V469, P150, DOI 10.1038/469150a
   Maslin M, 2012, NATURE, V486, P183, DOI 10.1038/486183a
   McLaughlin JF, 2002, P NATL ACAD SCI USA, V99, P6070, DOI 10.1073/pnas.052131199
   Miller FL, 2003, ARCTIC, V56, P381
   Mörschel FM, 1999, J WILDLIFE MANAGE, V63, P588, DOI 10.2307/3802647
   Mysterud A, 2005, OKOLOGISKE EFFEKTER, V1-05
   Nellemann C, 2000, ARCTIC, V53, P9
   Nellemann C, 2003, BIOL CONSERV, V113, P307, DOI 10.1016/S0006-3207(03)00048-X
   Nellemann C, 2001, BIOL CONSERV, V101, P351, DOI 10.1016/S0006-3207(01)00082-9
   Nordli PO, 2003, INT J CLIMATOL, V23, P1821, DOI 10.1002/joc.980
   Norsk Institutt for Naturforskning (NINA), 2007, HARD VILLR KALV 2007
   Nyaas A, 2008, VILLREINEN, V101
   Opdam P, 2004, BIOL CONSERV, V117, P285, DOI 10.1016/j.biocon.2003.12.008
   Opdam P, 2009, LANDSCAPE ECOL, V24, P715, DOI 10.1007/s10980-009-9377-1
   Ouellet Jean-Pierre, 1996, Rangifer, V16, P17
   Parmesan C, 1999, NATURE, V399, P579, DOI 10.1038/21181
   Ptato T, 2008, ECOL COMPLEX, V5, P329, DOI 10.1016/j.ecocom.2008.09.002
   Pyke CR, 2007, ENVIRON SCI POLICY, V10, P610, DOI 10.1016/j.envsci.2007.05.001
   Rannow S, 2011, THESIS TU DORTMUND
   Rannow S, 2010, LANDSCAPE URBAN PLAN, V98, P160, DOI 10.1016/j.landurbplan.2010.08.017
   REIMERS E, 1983, CAN J ZOOL, V61, P211, DOI 10.1139/z83-026
   Reimers E, 2003, J WILDLIFE MANAGE, V67, P747, DOI 10.2307/3802681
   REIMERS E, 1983, ARCTIC ALPINE RES, V15, P107, DOI 10.2307/1550986
   Reimers E, 2000, POLAR RES, V19, P75, DOI 10.1111/j.1751-8369.2000.tb00330.x
   Reimers E, 1986, RANGIFER, V1, P241
   Reimers Eigil, 2010, Rangifer, V30, P45
   Reimers Eigil, 1997, Rangifer, V17, P105
   REIN-Prosjektet, 2002, RAPP REIN PROSJ
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Schurholz G, 1972, THESIS ALBERT LUDWIG
   Seldal T, 1998, SAUBEITING FJELLET, V1998, P64
   Skarin A, 2000, THESIS SLU SWEDEN
   SKOGLAND T, 1980, J ANIM ECOL, V49, P81, DOI 10.2307/4278
   SKOGLAND T, 1985, J ANIM ECOL, V54, P359, DOI 10.2307/4484
   SKOGLAND T, 1984, HOLARCTIC ECOL, V7, P345
   Skogland T, 1993, VILREINENS BRUK HARD, V245
   Skogland T, 1989, BESTANDDYNAMISK ANAL, V1989, P54
   Strand O, 2004, 46 NINA
   Strand O., 2006, NINA Rapport 131
   Strand O, 2008, FORVENTEDE KLIMAENDR, V2008, P4
   Thompson KM, 2002, RISK ANAL, V22, P647, DOI 10.1111/0272-4332.00044
   Thywissen K., 2006, Measuring Vulnerability to Natural Hazards - Towards Disaster Resilient Societies
   Vistnes I, 2001, POLAR BIOL, V24, P531
   Vors LS, 2009, GLOBAL CHANGE BIOL, V15, P2626, DOI 10.1111/j.1365-2486.2009.01974.x
   Walters C.J., 1975, Ecological Modell, V1, P303, DOI 10.1016/0304-3800(75)90013-7
   Warren JT, 1995, UTREDNING MED SAERLI
   Weclaw P, 2004, ECOL MODEL, V177, P75, DOI 10.1016/j.ecolmodel.2003.12.052
   Weladji RB, 2003, OECOLOGIA, V136, P317, DOI 10.1007/s00442-003-1257-9
   Weladji RB, 2003, J ZOOL, V260, P79, DOI 10.1017/S0952836903003510
   Willows R., 2003, UKCIP TECHNICAL REPO
   Wissenschaftlicher Beirat der Bundesregierung Globale Umweltveranderungen (WBGU), 1999, WELT WANDEL STRATEGI
   Wolfe SA, 2000, POLAR RES, V19, P63, DOI 10.1111/j.1751-8369.2000.tb00329.x
NR 102
TC 5
Z9 5
U1 0
U2 38
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 AUG
PY 2013
VL 13
IS 4
SI SI
BP 813
EP 823
DI 10.1007/s10113-013-0449-z
PG 11
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 194ZR
UT WOS:000322671700006
DA 2025-01-10
ER

PT J
AU Park, JY
   Stock, CA
   Dunne, JP
   Yang, XS
   Rosati, A
AF Park, Jong-Yeon
   Stock, Charles A.
   Dunne, John P.
   Yang, Xiaosong
   Rosati, Anthony
TI Seasonal to multiannual marine ecosystem prediction with a global Earth
   system model
SO SCIENCE
LA English
DT Article
ID COUPLED CLIMATE MODELS; DATA ASSIMILATION; INDIAN-OCEAN; CARBON-CYCLE;
   CHLOROPHYLL; PROJECTIONS; MANAGEMENT; FISHERIES; FORMULATION;
   ENVIRONMENT
AB Climate variations have a profound impact on marine ecosystems and the communities that depend upon them. Anticipating ecosystem shifts using global Earth system models (ESMs) could enable communities to adapt to climate fluctuations and contribute to long-term ecosystem resilience. We show that newly developed ESM-based marine biogeochemical predictions can skillfully predict satellite-derived seasonal to multiannual chlorophyll fluctuations in many regions. Prediction skill arises primarily from successfully simulating the chlorophyll response to the El Nino-Southern Oscillation and capturing the winter reemergence of subsurface nutrient anomalies in the extratropics, which subsequently affect spring and summer chlorophyll concentrations. Further investigations suggest that interannual fish-catch variations in selected large marine ecosystems can be anticipated from predicted chlorophyll and sea surface temperature anomalies. This result. together with high predictability for other marine-resource-relevant biogeochemical properties (e.g., oxygen. primary production), suggests a role for ESM-based marine biogeochemical predictions in dynamic marine resource management efforts.
C1 [Park, Jong-Yeon] Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08540 USA.
   [Park, Jong-Yeon; Stock, Charles A.; Dunne, John P.; Yang, Xiaosong; Rosati, Anthony] NOAA, Geophys Fluid Dynam Lab, Princeton, NJ 08540 USA.
   [Park, Jong-Yeon] Chonbuk Natl Univ, Dept Earth & Environm Sci, Jeonju Si 54896, Jeollabuk Do, South Korea.
C3 National Oceanic Atmospheric Admin (NOAA) - USA; Princeton University;
   National Oceanic Atmospheric Admin (NOAA) - USA; Jeonbuk National
   University
RP Park, JY (corresponding author), Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08540 USA.; Park, JY (corresponding author), NOAA, Geophys Fluid Dynam Lab, Princeton, NJ 08540 USA.; Park, JY (corresponding author), Chonbuk Natl Univ, Dept Earth & Environm Sci, Jeonju Si 54896, Jeollabuk Do, South Korea.
EM jongyeon.park@jbnu.ac.kr
RI park, jongyeon/AAR-1563-2021; Yang, Xiaosong/C-7260-2009; Dunne,
   John/F-8086-2012; Stock, Charles/H-1281-2012
OI Stock, Charles/0000-0001-9549-8013
FU NOAA's marine ecosystem tipping points initiative; National Research
   Foundation of Korea [NRF-2018R1C1B5086584]
FX This work was supported by NOAA's marine ecosystem tipping points
   initiative. J.-Y.P. was also supported by the National Research
   Foundation of Korea (grant NRF-2018R1C1B5086584).
CR Alexander MA, 1999, J CLIMATE, V12, P2419, DOI 10.1175/1520-0442(1999)012<2419:TROSAI>2.0.CO;2
   Anav A, 2013, J CLIMATE, V26, P6801, DOI 10.1175/JCLI-D-12-00417.1
   [Anonymous], 2014, MOD RES IM SPECTR MO
   Behrenfeld MJ, 2001, SCIENCE, V291, P2594, DOI 10.1126/science.1055071
   Bonan GB, 2018, SCIENCE, V359, P533, DOI 10.1126/science.aam8328
   Bopp L, 2013, BIOGEOSCIENCES, V10, P6225, DOI 10.5194/bg-10-6225-2013
   Bretherton CS, 1999, J CLIMATE, V12, P1990, DOI 10.1175/1520-0442(1999)012<1990:TENOSD>2.0.CO;2
   Chassot E, 2010, ECOL LETT, V13, P495, DOI 10.1111/j.1461-0248.2010.01443.x
   Chavez FP, 2003, SCIENCE, V299, P217, DOI 10.1126/science.1075880
   Chavez FP, 1999, SCIENCE, V286, P2126, DOI 10.1126/science.286.5447.2126
   Cheung WWL, 2016, ICES J MAR SCI, V73, P1283, DOI 10.1093/icesjms/fsv250
   Currie JC, 2013, BIOGEOSCIENCES, V10, P6677, DOI 10.5194/bg-10-6677-2013
   Delworth TL, 2006, J CLIMATE, V19, P643, DOI 10.1175/JCLI3629.1
   Di Lorenzo E, 2013, P NATL ACAD SCI USA, V110, P2496, DOI 10.1073/pnas.1218022110
   Ford DA, 2012, OCEAN SCI, V8, P751, DOI 10.5194/os-8-751-2012
   Friedland KD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0028945
   Friedlingstein P, 2014, J CLIMATE, V27, P511, DOI 10.1175/JCLI-D-12-00579.1
   Haltuch MA, 2019, FISH RES, V217, P198, DOI 10.1016/j.fishres.2018.12.016
   Hawkins E, 2016, CLIM DYNAM, V46, P3807, DOI 10.1007/s00382-015-2806-8
   Hobday AJ, 2016, FISH OCEANOGR, V25, P45, DOI 10.1111/fog.12083
   Hutchings L, 2009, PROG OCEANOGR, V83, P15, DOI 10.1016/j.pocean.2009.07.046
   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]
   Kirtman BP, 2014, B AM METEOROL SOC, V95, P585, DOI 10.1175/BAMS-D-12-00050.1
   Koeller P, 2009, SCIENCE, V324, P791, DOI 10.1126/science.1170987
   Le Mézo P, 2016, J MARINE SYST, V153, P55, DOI 10.1016/j.jmarsys.2015.09.004
   Levitus S., 2013, Data Science Journal, V12, P229, DOI 10.2481/dsj.WDS-041
   Marshall KN, 2019, ICES J MAR SCI, V76, P1, DOI 10.1093/icesjms/fsy152
   Mcowen CJ, 2015, FISH FISH, V16, P623, DOI 10.1111/faf.12082
   Meehl GA, 2014, B AM METEOROL SOC, V95, P243, DOI 10.1175/BAMS-D-12-00241.1
   Morel A, 2010, BIOGEOSCIENCES, V7, P3139, DOI 10.5194/bg-7-3139-2010
   Myers RA, 1998, REV FISH BIOL FISHER, V8, P285, DOI 10.1023/A:1008828730759
   Park JY, 2018, J ADV MODEL EARTH SY, V10, P891, DOI 10.1002/2017MS001223
   Park JY, 2018, GEOPHYS RES LETT, V45, P1939, DOI 10.1002/2017GL076077
   Pauly D, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10244
   Raghukumar K, 2015, PROG OCEANOGR, V138, P546, DOI 10.1016/j.pocean.2015.01.004
   Reynolds RW, 2007, J CLIMATE, V20, P5473, DOI 10.1175/2007JCLI1824.1
   Roemmich D, 2004, MAR TECHNOL SOC J, V38, P21, DOI 10.4031/002533204787522802
   Rousseaux CS, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00236
   Sarmiento JL, 1998, NATURE, V393, P245, DOI 10.1038/30455
   Séférian R, 2014, P NATL ACAD SCI USA, V111, P11646, DOI 10.1073/pnas.1315855111
   Sherman K, 2005, LAR MAR ECOSYST, V13, P3
   Smith DM, 2013, CLIM DYNAM, V41, P3325, DOI 10.1007/s00382-013-1683-2
   Song H, 2016, OCEAN MODEL, V106, P131, DOI 10.1016/j.ocemod.2016.04.001
   Stock CA, 2017, P NATL ACAD SCI USA, V114, pE1441, DOI 10.1073/pnas.1610238114
   Stock CA, 2015, PROG OCEANOGR, V137, P219, DOI 10.1016/j.pocean.2015.06.007
   Stock CA, 2014, PROG OCEANOGR, V120, P1, DOI 10.1016/j.pocean.2013.07.001
   Sun C., 2010, Proceedings of OceanObs.09: Sustained Ocean Observations and Information for Society, V2, DOI DOI 10.5270/OCEANOBS09.CWP.86
   Tommasi D, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00201
   Tommasi D, 2017, PROG OCEANOGR, V152, P15, DOI 10.1016/j.pocean.2016.12.011
   Venzke S, 2000, J CLIMATE, V13, P1371, DOI 10.1175/1520-0442(2000)013<1371:TCGE>2.0.CO;2
   Waters J, 2017, Q J ROY METEOR SOC, V143, P195, DOI 10.1002/qj.2912
   Wittenberg AT, 2006, J CLIMATE, V19, P698, DOI 10.1175/JCLI3631.1
   Zhang S, 2007, MON WEATHER REV, V135, P3541, DOI 10.1175/MWR3466.1
NR 53
TC 65
Z9 72
U1 2
U2 105
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 JUL 19
PY 2019
VL 365
IS 6450
SI SI
BP 284
EP +
DI 10.1126/science.aav6634
PG 38
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA IK3HD
UT WOS:000476479200054
PM 31320541
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Le Masson, V
   Benoudji, C
   Reyes, SS
   Bernard, G
AF Le Masson, Virginie
   Benoudji, Colette
   Reyes, Sandra Sotelo
   Bernard, Giselle
TI How violence against women and girls undermines resilience to climate
   risks in Chad
SO DISASTERS
LA English
DT Article
DE Chad; gender equality; gender-based violence; resilience; risks
AB What consequences does everyday violence' have on the abilities of survivors to protect themselves from further risks? This paper seeks to establish the linkages between violence and people's resilience capacities to survive and adapt to environmental changes, particularly those living in fragile economic and political contexts such as Chad. It investigates not only how the adverse consequences of violence against women and girls affect the health status and livelihoods of survivors, but also their capacities, and those of their household and community members, to further protect themselves from other risks. Empirical evidence collected in Chad as part of the BRACED (Building Resilience and Adaptation to Climate Extremes and Disasters) programme shows that everyday violence' undermines resilience-building at the individual, household, and community level. These results have serious implications for development programmes and the role they need to play to better promote both gender equality and resilience to shocks and stresses.
C1 [Le Masson, Virginie] Overseas Dev Inst, 203 Blackfriars Rd, London SE1 8NJ, England.
   [Benoudji, Colette] Lead Tchad, Ndjamena, Chad.
   [Reyes, Sandra Sotelo] Oxfam, Barcelona, Spain.
   [Bernard, Giselle] Univ Oxford, Oxford, England.
C3 University of Oxford
RP Le Masson, V (corresponding author), Overseas Dev Inst, 203 Blackfriars Rd, London SE1 8NJ, England.
EM v.lemasson@odi.org.uk
CR Amnesty International, 2011, HAIT AFT WOM SPEAK O
   [Anonymous], BRACED RESILIENCE IN
   [Anonymous], ECHOGEO
   [Anonymous], 103560TD WORLD BANK
   [Anonymous], B DINFORMATIONS SENS
   [Anonymous], 2015, LIT RAT
   [Anonymous], NAT OUTR VIOL DISPL
   [Anonymous], COMM EL DISCR WOM 50
   [Anonymous], CHAD HUM PROF DAR SI
   [Anonymous], MUTILATIONS GENITALE
   [Anonymous], CHAD OV FOOD SAF NUT
   [Anonymous], 2017, NO SAFE PLACE LIFETI
   [Anonymous], RETH RES PRIOR GEND
   [Anonymous], VIOLENCE WOMEN GIRLS
   [Anonymous], VERTIGO
   [Anonymous], GENDER JUSTICE RESIL
   [Anonymous], WOMEN DISASTER
   [Anonymous], THESIS
   [Anonymous], UN HDB LEG VIOL WOM
   [Anonymous], ETUD PROT SOC TCHAD
   [Anonymous], RAPP NAT EV VINGT 20
   [Anonymous], PLAN REP HUM
   [Anonymous], HUM SEC REP 2012 SEX
   [Anonymous], TCH HAB NDJ CONFR IN
   [Anonymous], IMP ASS COMM RES AC
   [Anonymous], ENSEIGNER QUOI CONSI
   [Anonymous], COMM RES AC MALN LES
   [Anonymous], BUILD RES CHAD SUD B
   [Anonymous], PROGR ACT NAT AD AUX
   [Anonymous], KPI4 GUID
   [Anonymous], GLOSS TERMS TIR ESS
   [Anonymous], APA NEWS 0123
   [Anonymous], EVERYDAY RISK OBSTAC
   [Anonymous], BUILD RES CHAD SUD Y
   [Anonymous], ENQ DEM SANT MULT IN
   Bradshaw S., 2013, WOMEN GIRLS DISASTER
   Council of Europe, 2014, CONV PREV COMB VIOL
   Enarson E.P., 1998, The gendered terrain of disaster: Through women's eyes
   Few R, 2017, PALGR COMMUN, V3, DOI 10.1057/palcomms.2017.92
   Fordham M, 1999, Int J Mass Emerg Disasters, V17, P15
   Gibbs A, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0194885
   Inter-Agency Standing Committee, 2015, Guidelines for Integrating Gender-Based Violence Interventions in Humanitarian Action: Reducing risk, promoting resilience and aiding recovery
   International Federation of Red Cross and Red Crescent Societies-IFRC, 2016, Unseen, Unheard Gender-Based Violence in Disasters Asia-Pacific Case Studies
   Jeans H., 2017, ABSORB ADAPT TRANSFO
   Jeans H., 2016, The future is a choice: The Oxfam framework and guidance for resilient development
   Koester D., 2016, GENDER DEV, V24, P353, DOI [10.1080/13552074.2016.1240907, DOI 10.1080/13552074.2016.1240907]
   McDermott MJ, 2004, VIOLENCE AGAINST WOM, V10, P1245, DOI 10.1177/1077801204268999
   Morchain D., 2015, GENDER DEV, V23, DOI [DOI 10.1080/13552074.2015.1096620, 10.1080/13552074.2015.1096620]
   Morrison A, 2007, WORLD BANK RES OBSER, V22, P25, DOI 10.1093/wbro/lkm003
   Ngo E., 2012, ROUTLEDGE HDB HAZARD, P447
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Slim H., 2005, Protection - An ALNAP guide for humanitarian agencies
   United National High Commissioner for Refugees (UNHCR), 2003, Sexual and gender-based violence against refugees, returnees and internally displaced persons  guidelines for prevention and response
   WHO, 2013, WORLD MALARIA REPORT 2013, P1
   WHO, 2007, ETH SAF REC RES DOC
NR 55
TC 17
Z9 19
U1 0
U2 11
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0361-3666
EI 1467-7717
J9 DISASTERS
JI Disasters
PD APR
PY 2019
VL 43
SU 3
SI SI
BP S245
EP S270
DI 10.1111/disa.12343
PG 26
WC Environmental Studies; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Social Sciences - Other Topics
GA IA2JX
UT WOS:000469388600002
PM 30945771
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Meyer, MV
   Riede, F
AF Meyer, Mathilde Vestergaard
   Riede, Felix
TI Playing to Survive: Children and Innovation During the Little Ice Age in
   Greenland
SO EUROPEAN JOURNAL OF ARCHAEOLOGY
LA English
DT Article; Early Access
DE children; climate adaptation; play; toys; Greenland
ID INUIT; CONSTRUCTION; ADAPTATION; CHILDHOOD; EVOLUTION
AB Greenland is the world's largest island, but only a narrow strip of land between the Inland Ice and the sea is inhabitable. Yet, the Norse chose to settle here around AD 986. During the eleventh century AD, precontact Inuit people moved into Greenland from northern Alaska via Canada. Although the two cultures faced the same climatic changes during the Little Ice Age, the Inuit thrived, while the Norse did not, for multiple causes. The authors focus on one of these causes, the hitherto overlooked contribution of young children's learning strategies to societal adaptation. The detailed analysis of a large corpus ofplay objects reveals striking differences between the children's material culture in the two cultures: rich and diverse in the precontact Inuit material and more limited and normative in the Norse. Drawing on insights from developmental psychology, the authors discuss possible effects of play objects on children's future adaptability in variable climatic conditions.
C1 [Meyer, Mathilde Vestergaard; Riede, Felix] Dept Archaeol & Heritage Studies, Sch Culture & Soc, Moesgard Alle 20, DK-8270 Hojbjerg, Denmark.
RP Meyer, MV (corresponding author), Dept Archaeol & Heritage Studies, Sch Culture & Soc, Moesgard Alle 20, DK-8270 Hojbjerg, Denmark.
EM mathildevestermeyer@gmail.com; f.riede@cas.au.dk
RI Riede, Felix/N-5990-2019; Riede, Felix/C-1767-2008
OI Riede, Felix/0000-0002-4879-7157; Vestergaard Meyer,
   Mathilde/0000-0002-4540-5525
FU Aarhus University as part of Mathilde Vestergaard Meyer's PhD grant; The
   Elisabeth Munksgaard Foundation (Copenhagen, Denmark)
FX This work was supported by Aarhus University as part of Mathilde
   Vestergaard Meyer's PhD grant. The Elisabeth Munksgaard Foundation
   (Copenhagen, Denmark) funded research in Nuuk, Greenland, where most of
   the data were collected.
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Appelt M., 2018, Nordisk Museologi, V23, P60, DOI [10.5617/nm.6655, DOI 10.5617/NM.6655]
   Appelt MartinHans Christian Gullov., 2009, NO WORLD AD 900 1400, P300
   ARNEBORG J., 2012, J N ATL, V3, P119, DOI [DOI 10.3721/037.004.S309, 10.3721/037.004.s309]
   Arneborg J., 2004, Daglivliv i Danmarks Middelalder en Arkologisk Kulturhistorie, V2nd, P353
   Arneborg J, 2008, ROUTLEDGE WORLDS, P588
   Arneborg Jette., 2000, Vikings: the North Atlantic Saga, P304
   Arneborg Jette., 2000, Vikings: The North Atlantic Saga, P281
   Bandi H.-G., 1952, Archaeological Investigations on Clavering , Northeast Greenland, V126
   Berglund J., 2020, Tidsskriftet Grnland, V3, P105
   Berglund J., 2001, Tidsskriftet Grnland, V7, P267
   Borreggine M, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2209615120
   Briggs J.L., 1971, NEVER ANGER PORTRAIT
   BRIGGS JL, 1991, ETHOS, V19, P259, DOI 10.1525/eth.1991.19.3.02a00010
   Brink S., 2012, The Viking World, P598
   Bruun D., 1917, Oversigt over Nordboruiner i Godthaab og Frederikshaab-Distrikter, V56
   Bruun Daniel., 1895, Meddelelser om Gronland, V16, P171
   Buckland P.C., 1983, Norwegian Archaeological Review, V16, P86, DOI [https://doi.org/10.1080/00293652.1983.9965390, DOI 10.1080/00293652.1983.9965390]
   Buijs C., 1993, Continuity and Discontinuity in Arctic Cultures: Essays in Honour of Geerti Nooter, P47
   Burke A, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2108537118
   Crawford Sally., 2009, Childhood in the Past, V2, P55, DOI DOI 10.1179/CIP.2009.2.1.55
   Degroot D, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac8faa
   Douglas PMJ, 2016, ANNU REV EARTH PL SC, V44, P613, DOI 10.1146/annurev-earth-060115-012512
   Dunnell RobertC., 1989, Quantifying Diversity in Archaeology, P142
   Eren M.I., 2022, Defining and Measuring Diversity in Archaeology: Another Step Toward an Evolutionary Synthesis of Culture, DOI [10.3167/9781800734296, DOI 10.3167/9781800734296]
   Fitzhugh B, 2001, J ANTHROPOL ARCHAEOL, V20, P125, DOI 10.1006/jaar.2001.0380
   Flynn EG, 2013, DEVELOPMENTAL SCI, V16, P296, DOI 10.1111/desc.12030
   Frankenhuis WE, 2023, TRENDS COGN SCI, V27, P616, DOI 10.1016/j.tics.2023.04.001
   Friesen T.Max., 2016, The Oxford Handbook of the Prehistoric Arctic, P673
   Gullv H.C., 2004, Grnlands forhistorie
   Hardenberg M, 2010, GEOGR TIDSSKR-DEN, V110, P201, DOI 10.1080/00167223.2010.10669507
   Henriksen P.S., 2014, Northern Worlds: Landscapes, Interactions and Dynamics Research at the National Museum of Denmark, P423
   Holtved E., 1954, Archaeological Investigations in the Thule District. III: Ngdlt and Comer's Midden, V146
   Holtved Erik., 1944, ARCHAEOLOGICAL INVES, V141
   Iriki A, 2012, PHILOS T R SOC B, V367, P10, DOI 10.1098/rstb.2011.0190
   Izdebski A., 2022, Perspectives on Public Policy in Societal-Environmental Crises: What the Future Needs from History, DOI [10.1007/978-3-030-94137-6, DOI 10.1007/978-3-030-94137-6]
   Jackson R., 2022, PERSPECTIVES PUBLIC, P247, DOI [10.1007/978-3-030-94137-617, DOI 10.1007/978-3-030-94137-617]
   Jackson R, 2018, HUM ECOL, V46, P665, DOI 10.1007/s10745-018-0020-0
   Jackson RC, 2018, GLOBAL ENVIRON CHANG, V52, P58, DOI 10.1016/j.gloenvcha.2018.05.006
   Kuhn, 2020, EVOLUTION PALEOLITHI
   Kuijpers A., 2014, J N ATL, V601, P1, DOI [10.3721/037.002.sp603, DOI 10.3721/037.002.sp603]
   Lancy D.F., 2017, Childhood in the Past: An International Journal, V10, P72, DOI DOI 10.1080/17585716.2017.1316010
   Larsen H., 1934, Ddemandsbugten: An Eskimo Settlement on Clavering Island, V102
   Lew-Levy S, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.824983
   Lew-Levy S, 2017, HUM NATURE-INT BIOS, V28, P367, DOI 10.1007/s12110-017-9302-2
   Lynnerup N., 2014, Viking Settlers of the North Atlantic: An Isotopic Approach, V7, P18, DOI [https://doi.org/10.3721/037.002.sp702, DOI 10.3721/037.002.SP702]
   Madsen C.K., 2017, Fund & Fortid, V4, P25
   Madsen C.K., 2020, Encyclopedia of Global Archaeology, P4761, DOI [10.1007/978-3-030-30018-02866, DOI 10.1007/978-3-030-30018-02866]
   Madsen Christian Koch, 2022, Journal of the North Atlantic, V42, P1
   Mason OK, 2009, MACROEVOLUTION IN HUMAN PREHISTORY, P73, DOI 10.1007/978-1-4419-0682-3_4
   Mathiassen T., 1930, Inugsuk: A Medieval Eskimo Settlement in Upernavik District, West Greenland, V77
   Mathiassen T., 1933, Prehistory of the Angmagssalik Eskimos, V92
   Mathiassen T., 1934, Contributions to the Archaeology of Disko Bay, V93
   Mathiassen T., 1931, Ancient Eskimo Settlements in the Kangmiut Area, V91
   Mathiassen T., 1936, The Eskimo Archaeology of Julianehaab District with a Brief Summary of the Prehistory of the Greenlanders, V118
   Mathiassen Therkel., 1927, REPORT 5 THULE EXPED, V4
   McGuire E.H., 2019, Journal of the North Atlantic, V11, P13, DOI [https://doi.org/10.3721/037.002.sp1104, DOI 10.3721/037.002.SP1104]
   Milks A, 2021, J ANTHROPOL ARCHAEOL, V64, DOI 10.1016/j.jaa.2021.101369
   Minc LeahD., 1989, BAD YEAR EC, P8
   Morgan R., 2016, The Post HoleJanuary
   Nelson D.Erle., 2012, Journal of the North Atlantic, V3, P93, DOI DOI 10.3721/037.004.S308
   Nolan KA., 2006, Tested Studies for Laboratory Teaching, V27, P334
   Nrlund P., 1930, Norse Ruins at Gardar: The Episcopal Seat of Medieval Greenland, V76
   Nrlund P., 1924, Buried Norsemen at Herjolfsnes, V67
   Nrlund P., 1934, Brattahlid, V88
   OSWALT WH, 1987, ARCTIC ANTHROPOL, V24, P82
   Panagiotakopulu E, 2020, QUATERN INT, V549, P176, DOI 10.1016/j.quaint.2018.09.011
   Park RW, 2023, OPEN ARCHAEOL, V9, DOI 10.1515/opar-2022-0326
   Park RW, 1998, ANTIQUITY, V72, P269, DOI 10.1017/S0003598X00086567
   Park RW., 2016, OXFORD HDB PREHISTOR, P807
   Pfeifer S.J., 2022, BAR International Series, V3060
   Raffield B, 2019, CURR ANTHROPOL, V60, P813, DOI 10.1086/706608
   Richards CE, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-02957-w
   Riede F, 2023, J ARCHAEOL METHOD TH, V30, P32, DOI 10.1007/s10816-022-09593-3
   Riede F, 2021, EVOL HUM SCI, V3, DOI 10.1017/ehs.2021.7
   Riede F, 2018, EVOL ANTHROPOL, V27, P46, DOI 10.1002/evan.21555
   Ries C.J., 2006, Dansk naturvidenskabs historie. Bind 3:Lys over landet 18501920, P295
   Rockman Marcy., 2012, Archaeology and Apprenticeship: Body Knowledge, Identity, and Communities of Practice, P99
   Roussell A., 1941, Farms and Churches in the Medieval Norse Settlements of Greenland, V89
   Roussell A., 1936, Sandnes and the Neighbouring Farms, V88
   Sorensen M, 2012, ARCTIC ANTHROPOL, V49, P88, DOI 10.1353/arc.2012.0016
   Sterelny K, 2021, EVOL HUM SCI, V3, DOI 10.1017/ehs.2021.9
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Tuborg Sandell H., 1991, Archaeology and Environment in the Scoresby Sund Fjord: Ethno-Archaeological Investigations of the Last Thule Culture of Northeast Greenland, V15
   Vebk C.L., 1992, Vatnahverfi: An Inland District of the Eastern Settlement in Greenland, V17
   Vebk C.L., 1993, Narsaq: A Norse Landnma Farm, V18
   Vebk C.L., 1952, Fra Nationalmuseets Arbejdsmark 1952, P101
   Vinther BM, 2010, QUATERNARY SCI REV, V29, P522, DOI 10.1016/j.quascirev.2009.11.002
   Vitale E, 2023, J ARCHAEOL SCI, V159, DOI 10.1016/j.jas.2023.105856
   Whitridge P, 2021, ARCTIC ANTHROPOL, V58, P218, DOI 10.3368/aa.58.2.218
   Williams JC, 2018, OPEN ARCHAEOL, V4, P217, DOI 10.1515/opar-2018-0014
   Zhao BY, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abm4346
NR 92
TC 0
Z9 0
U1 0
U2 0
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 1461-9571
EI 1741-2722
J9 EUR J ARCHAEOL
JI Eur. J. Archaeol.
PD 2024 OCT 29
PY 2024
DI 10.1017/eaa.2024.36
EA OCT 2024
PG 20
WC Archaeology
WE Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Archaeology
GA K7L6U
UT WOS:001345656800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Zhang, JG
   Li, CX
   Zhao, TB
AF Zhang, Jinge
   Li, Chunxiang
   Zhao, Tianbao
TI Qualifying uncertainty of precipitation projections over China:
   mitigating uncertainty with emergent constraints
SO ENVIRONMENTAL RESEARCH COMMUNICATIONS
LA English
DT Article
ID CLIMATE-CHANGE; EXTREME PRECIPITATION; FUTURE CHANGES; TEMPERATURE;
   DROUGHT; MODELS; PROBABILITY; DATASET; IMPACTS; PRODUCT
AB Predicting future mean precipitation poses significant challenges due to uncertainties among climate models, complicating water resource management. In this study, we introduce a novel methodology to mitigate uncertainty in future mean precipitation projections over China on a grid-by-grid basis. By constraining precipitation parameters of the Gamma distribution, we establish emergent constraints on parameters, revealing significant correlations between historical and future simulations. Our analysis spans the periods 2040-2069 and 2070-2099 under low-to-moderate and high emission scenarios. We observe reductions in uncertainty across most regions of China, with constrained mean precipitation indicating increases in monsoon regions and decreases in non-monsoon zones relative to raw projections. Notably, the observed 30%-40% increase in mean precipitation for the whole of China underscores the efficacy of our methodology. These observationally constrained results provide valuable insights into current precipitation projections, offering actionable information for water resource planning and climate adaptation strategies amidst future uncertainties.
C1 [Zhang, Jinge; Li, Chunxiang; Zhao, Tianbao] Chinese Acad Sci, Inst Atmospher Phys IAP, Key Lab Reg Climate Environm Res Temperate East As, Beijing 100029, Peoples R China.
   [Zhang, Jinge; Zhao, Tianbao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Li, CX; Zhao, TB (corresponding author), Chinese Acad Sci, Inst Atmospher Phys IAP, Key Lab Reg Climate Environm Res Temperate East As, Beijing 100029, Peoples R China.; Zhao, TB (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
EM licx@tea.ac.cn; zhaotb@tea.ac.cn
RI Zhao, Tianbao/I-4890-2015
OI Zhao, Tianbao/0000-0002-8295-6537
FU National Key Research and Development Program of China [2020YFA0608904];
   National Natural Science Foundation of China [42275185, 42175051]
FX This research was supported by the National Key Research and Development
   Program of China (2020YFA0608904) and the National Natural Science
   Foundation of China (42275185, 42175051).
CR Bowman KW, 2018, GEOPHYS RES LETT, V45, P13050, DOI 10.1029/2018GL080082
   Brient F, 2020, ADV ATMOS SCI, V37, P1, DOI 10.1007/s00376-019-9140-8
   Chai YF, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31782-7
   Chen J, 2016, CLIM DYNAM, V47, P3359, DOI 10.1007/s00382-016-3030-x
   Chen QX, 2023, J METEOROL RES-PRC, V37, P454, DOI 10.1007/s13351-023-2169-8
   Chen ZM, 2023, GEOPHYS RES LETT, V50, DOI 10.1029/2022GL102124
   CHOI SC, 1969, TECHNOMETRICS, V11, P683, DOI 10.2307/1266892
   Dai AG, 2018, CURR CLIM CHANGE REP, V4, P301, DOI 10.1007/s40641-018-0101-6
   Dai A, 2019, CLIM DYNAM, V52, P289, DOI 10.1007/s00382-018-4132-4
   Dai AG, 2013, J GEOPHYS RES-ATMOS, V118, P7024, DOI 10.1002/jgrd.50565
   Ding Y., 1994, Chinese Journal of Atmospheric Sciences, V18, P552, DOI [10.3878/j.issn.1006-9895.1994.05.05, DOI 10.3878/J.ISSN.1006-9895.1994.05.05]
   Dong YC, 2024, INT J CLIMATOL, V44, P183, DOI 10.1002/joc.8322
   Groisman PY, 1999, CLIMATIC CHANGE, V42, P243, DOI 10.1023/A:1005432803188
   Hall A, 2019, NAT CLIM CHANGE, V9, P269, DOI 10.1038/s41558-019-0436-6
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Jackson CS, 2008, J CLIMATE, V21, P6698, DOI 10.1175/2008JCLI2112.1
   Klein SA, 2015, CURR CLIM CHANGE REP, V1, P276, DOI 10.1007/s40641-015-0027-1
   Lee JY, 2014, CLIM DYNAM, V42, P101, DOI 10.1007/s00382-012-1564-0
   Li CX, 2021, INT J CLIMATOL, V41, P5243, DOI 10.1002/joc.7127
   Li CX, 2020, J METEOROL RES-PRC, V34, P117, DOI 10.1007/s13351-020-8196-9
   [李明 Li Ming], 2019, [自然资源学报, Journal of Natural Resources], V34, P374
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Monerie PA, 2017, CLIM DYNAM, V48, P2751, DOI 10.1007/s00382-016-3236-y
   New M, 2002, CLIMATE RES, V21, P1, DOI 10.3354/cr021001
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Shaw SB, 2011, J HYDROMETEOROL, V12, P319, DOI 10.1175/2011JHM1364.1
   Tebaldi C, 2007, PHILOS T R SOC A, V365, P2053, DOI 10.1098/rsta.2007.2076
   Thackeray CW, 2022, NAT CLIM CHANGE, V12, P441, DOI 10.1038/s41558-022-01329-1
   Wang GL, 2017, NAT CLIM CHANGE, V7, P268, DOI [10.1038/nclimate3239, 10.1038/NCLIMATE3239]
   Wang W, 2008, HYDROL EARTH SYST SC, V12, P207, DOI 10.5194/hess-12-207-2008
   Wang YF, 2023, INT J CLIMATOL, V43, P3892, DOI 10.1002/joc.8064
   Wasko C, 2015, NAT GEOSCI, V8, P527, DOI [10.1038/ngeo2456, 10.1038/NGEO2456]
   Wilks D S., 2011, The Kingdom of the Netherlands, VVol. 100
   Wu J, 2017, INT J CLIMATOL, V37, P788, DOI 10.1002/joc.5038
   Wu J, 2013, CHINESE J GEOPHYS-CH, V56, P1102, DOI 10.6038/cjg20130406
   Xu C, 2024, CLIMATIC CHANGE, V177, DOI 10.1007/s10584-024-03686-6
   Xu Y, 2009, ADV ATMOS SCI, V26, P763, DOI 10.1007/s00376-009-9029-z
   Yang F, 2017, HYDROL EARTH SYST SC, V21, P5805, DOI 10.5194/hess-21-5805-2017
   Zhang JE, 2024, ATMOS RES, V303, DOI 10.1016/j.atmosres.2024.107344
   Zhang JP, 2021, ADV ATMOS SCI, V38, P1958, DOI 10.1007/s00376-021-0333-6
   Zhang JP, 2021, J METEOROL RES-PRC, V35, P402, DOI 10.1007/s13351-021-0175-2
   Zhang JP, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-54185-z
   Zhang JP, 2019, CLIM DYNAM, V52, P6969, DOI 10.1007/s00382-018-4559-7
   Zhang WX, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-34006-0
   Zhao RX, 2020, THEOR APPL CLIMATOL, V139, P1363, DOI 10.1007/s00704-019-03050-0
   Zhao TB, 2015, J GEOPHYS RES-ATMOS, V120, P10703, DOI 10.1002/2015JD023906
   Zhao TB, 2014, INT J CLIMATOL, V34, P2749, DOI 10.1002/joc.3872
   Zhou TJ, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL088415
   [周天军 Zhou Tianjun], 2018, [大气科学, Chinese Journal of Atmospheric Sciences], V42, P902
   Zhou WY, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-42181-x
   Zhu YY, 2020, ADV CLIM CHANG RES, V11, P239, DOI 10.1016/j.accre.2020.08.001
NR 52
TC 0
Z9 0
U1 14
U2 14
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 2515-7620
J9 ENVIRON RES COMMUN
JI Environ. Res. Commun.
PD JUL 1
PY 2024
VL 6
IS 7
AR 071002
DI 10.1088/2515-7620/ad5ad9
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA XR0X0
UT WOS:001263299500001
OA gold
DA 2025-01-10
ER

PT J
AU Helm, S
   Little, V
AF Helm, Sabrina
   Little, Vicki
TI Macromarketing Our Way to a Zero-carbon Future
SO JOURNAL OF MACROMARKETING
LA English
DT Article
DE marketing; macromarketing; climate change; climate adaptation; climate
   mitigation; climate resilience
ID GROWTH
AB The role of marketing in climate change is one of the most pressing, and yet understudied, issues of our time. While climate change forms part of the wider sustainability canon, it transcends issues-based scholarship. Macromarketers are ideally suited to taking on this challenge. This special section takes a step towards addressing the current shortfall in knowledge by creating the first collection of macromarketing work addressing marketing's role in the climate emergency. Reflecting the nature of sustainability (nascent, complex, diffuse, diverse), the three papers take widely different approaches; examining the interactions between markets, communities and the environment. Drawing on action research, case study and experimental data, the author teams explore systems interactions in fishing communities, marketing strategy in the fashion industry, and anti-consumption initiatives in social media respectively. The guest editors call on all marketers to build on this important work, and to help pivot our discipline towards a necessary zero carbon future.
C1 [Helm, Sabrina] Univ Arizona, Retailing & Consumer Sci, 650 N Pk Ave, Tucson, AZ 85721 USA.
   [Little, Vicki] RMIT Univ, Mkt, South Saigon Campus, Ho Chi Minh City, Vietnam.
C3 University of Arizona; Royal Melbourne Institute of Technology (RMIT)
RP Helm, S (corresponding author), Univ Arizona, Retailing & Consumer Sci, 650 N Pk Ave, Tucson, AZ 85721 USA.
EM helm@email.arizona.edu
OI Little, Victoria/0000-0002-6146-5413
CR Armstong Soule Catherine., 2022, J MACROMARKETING
   Bach David, 2019, WORLD WE CREATED
   Bendell J., 2018, Deep adaptation: a map for navigating climate tragedy, V2
   Blom Philip., 2019, NATURES MUTINY LITTL
   Bradbury H, 2019, ACTION RES-LONDON, V17, P3, DOI 10.1177/1476750319829633
   Cabrera SA, 2014, CRIT SOCIOL, V40, P349, DOI 10.1177/0896920512458599
   Claire Armistead, 2021, STORIES SAVE WORLD N
   Dholakia N, 2021, EUR J MARKETING, V55, P868, DOI 10.1108/EJM-10-2018-0688
   Diamond J.M., 2006, [No title captured]
   Ekici A, 2021, J MACROMARKETING, V41, P25, DOI 10.1177/0276146720966654
   Fisk G., 2006, Journal of Macromarketing, V26, P214, DOI DOI 10.1177/0276146706291037
   Guy Scriven, 2020, ECONOMIST
   Hall CM, 2018, J PUBLIC AFF, V18, DOI 10.1002/pa.1893
   Helm Sabrina., 2020, P AMA WINT MARK ED C
   Kemper Joya., 2022, J MARKET EDUC
   Kemper JA, 2018, J PUBLIC AFF, V18, DOI 10.1002/pa.1664
   Kilbourne W.E., 1997, J MACROMARKETING, V17, P4, DOI [DOI 10.1177/027614679701700103, 10.1177/027614679701700103]
   Kravets O, 2020, J MACROMARKETING, V40, P445, DOI 10.1177/0276146720930331
   Layton RA, 2015, J MACROMARKETING, V35, P302, DOI 10.1177/0276146714550314
   Little Vicki., 2019, P 44 MACR C CLEV OH
   Lucy Colback, 2020, FINANC TIMES
   Mai NTT, 2014, J MACROMARKETING, V34, P28, DOI 10.1177/0276146713507281
   Prothero A, 2021, J MACROMARKETING, V41, P166, DOI 10.1177/0276146720952527
   Rashidi-Sabet Siavash., 2022, J MACROMARKETING
   Russ Klein, 2019, THIS WILL CHANGE EVE
   Saatcioglu B, 2019, J MACROMARKETING, V39, P9, DOI 10.1177/0276146718793487
   Science Media Centre, 2021, EXP REACT IPCCS WORK
   Sekhon TS, 2020, PSYCHOL MARKET, V37, P278, DOI 10.1002/mar.21299
   Sheth JN, 2021, J MACROMARKETING, V41, P150, DOI 10.1177/0276146720961836
   Shultz CJ, 1999, J PUBLIC POLICY MARK, V18, P218, DOI 10.1177/074391569901800208
   Shultz C, 2021, J MACROMARKETING, V41, P5, DOI 10.1177/0276146720983405
   Shultz CJ, 2017, J MACROMARKETING, V37, P328, DOI 10.1177/0276146717712360
   Thomas K, 2021, OLANZAPINE STATPEARL
   Varey RJ, 2012, J MACROMARKETING, V32, P424, DOI 10.1177/0276146712454883
   Venugopal Srinivas., 2022, J MACROMARKETING
   Wooliscroft B, 2021, J MACROMARKETING, V41, P116, DOI 10.1177/0276146720980521
   Wooliscroft B, 2018, J MACROMARKETING, V38, P355, DOI 10.1177/0276146718805804
NR 37
TC 8
Z9 9
U1 5
U2 18
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0276-1467
EI 1552-6534
J9 J MACROMARKETING
JI J. Macromarketing
PD JUN
PY 2022
VL 42
IS 2
BP 262
EP 266
AR 02761467221088254
DI 10.1177/02761467221088254
EA MAR 2022
PG 5
WC Business
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA 0R7UO
UT WOS:000773480400001
DA 2025-01-10
ER

PT J
AU Shortridge, J
   Camp, JS
AF Shortridge, Julie
   Camp, Janey Smith
TI Addressing Climate Change as an Emerging Risk to Infrastructure Systems
SO RISK ANALYSIS
LA English
DT Article
DE Climate change; emerging risk; infrastructure
ID ROBUST DECISION-MAKING; PROJECTIONS; UNCERTAINTY; MANAGEMENT;
   INFORMATION; ADAPTATION; ASSESSMENTS; CHALLENGES; STRATEGIES; ENSEMBLE
AB The consequences that climate change could have on infrastructure systems are potentially severe but highly uncertain. This should make risk analysis a natural framework for climate adaptation in infrastructure systems. However, many aspects of climate change, such as weak background knowledge and societal controversy, make it an emerging risk where traditional approaches for risk assessment and management cannot be confidently employed. A number of research developments aimed at addressing these issues have emerged in recent years, such as the development of probabilistic climate projections, climate services, and robust decision frameworks. However, additional research is needed to improve the suitability of these methods for infrastructure planning. In this perspective, we outline some of the challenges in addressing climate change risks to infrastructure and summarize new developments aimed at meeting these challenges. We end by highlighting needs for future research, many of which could be well-served by expertise within the risk analysis community.
C1 [Shortridge, Julie] Virginia Tech, Dept Biol Syst Engn, MC0303,155 Ag Quad Lane, Blacksburg, VA 24061 USA.
   [Camp, Janey Smith] Vanderbilt Univ, Dept Civil & Environm Engn, VECTOR, Nashville, TN 37235 USA.
C3 Virginia Polytechnic Institute & State University; Vanderbilt University
RP Shortridge, J (corresponding author), Virginia Tech, Dept Biol Syst Engn, MC0303,155 Ag Quad Lane, Blacksburg, VA 24061 USA.
EM jshortridge@vt.edu
OI Shortridge, Julie/0000-0003-1612-5740; Camp, Janey/0000-0002-2530-2094
CR [Anonymous], 833R04001 US EPA
   [Anonymous], 2012, NY TIMES
   [Anonymous], 1996, UNDERSTANDING RISK I
   [Anonymous], 2012, MANAGING RISKS EXTRE
   Arnell NW, 2005, RISK ANAL, V25, P1419, DOI 10.1111/j.1539-6924.2005.00689.x
   Aven T, 2008, RELIAB ENG SYST SAFE, V93, P790, DOI 10.1016/j.ress.2007.03.025
   Bell R., 2017, Coastal hazards and climate change
   Ben-Haim Y, 2000, J FRANKLIN I, V337, P171, DOI 10.1016/S0016-0032(00)00016-8
   Borgomeo E, 2014, WATER RESOUR RES, V50, P6850, DOI 10.1002/2014WR015558
   Brown C, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011212
   Brown C, 2010, J WATER RES PLAN MAN, V136, P143, DOI 10.1061/(ASCE)WR.1943-5452.65
   Buontempo C, 2014, CLIM RISK MANAG, V6, P1, DOI 10.1016/j.crm.2014.10.002
   California Natural Resources Agency, 2018, CLIM SAF INFR WORK G
   Cervigni R., 2015, ENHANCING CLIMATE RE
   Chao PT, 1999, J AM WATER RESOUR AS, V35, P1485, DOI 10.1111/j.1752-1688.1999.tb04232.x
   Cooke RM, 2004, J RISK RES, V7, P643, DOI 10.1080/1366987042000192237
   Cross J., 2008, OLD MAN STORM STORY
   Cumming R., 1981, Risk Analysis, V1, P1, DOI DOI 10.1111/J.1539-6924.1981.TB01347.X
   de Sherbinin A, 2007, ENVIRON URBAN, V19, P39, DOI 10.1177/0956247807076725
   Federal Emergency Management Agency, 2010, FED EM MAN AG PUBL A
   Ferson S, 1996, RELIAB ENG SYST SAFE, V54, P133, DOI 10.1016/S0951-8320(96)00071-3
   Fischbach J., 2017, Robust Stormwater Management in the Pittsburgh Region: A Pilot Study, DOI [10.7249/RR1673, DOI 10.7249/RR1673]
   Flage R, 2015, RELIAB ENG SYST SAFE, V144, P61, DOI 10.1016/j.ress.2015.07.008
   Giorgi F, 2002, J CLIMATE, V15, P1141, DOI 10.1175/1520-0442(2002)015<1141:COAURA>2.0.CO;2
   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 JW, 2012, WATER ENVIRON J, V26, P118, DOI 10.1111/j.1747-6593.2011.00271.x
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Herman JD, 2014, WATER RESOUR RES, V50, P7692, DOI 10.1002/2014WR015338
   ICF International, 2016, FHWAHEP16079 ICF INT
   International Risk Governance Council, 2010, EM RISK CONTR FACT
   Jenkins DP, 2011, ENERG BUILDINGS, V43, P1723, DOI 10.1016/j.enbuild.2011.03.016
   Kaplan S., RISK ANAL, V1, P11
   Keith DW, 1996, CLIMATIC CHANGE, V33, P139, DOI 10.1007/BF00140244
   Knutti R, 2010, J CLIMATE, V23, P2739, DOI 10.1175/2009JCLI3361.1
   Koenig T. A., 2013, DOCUMENTING STAGES S
   Kundzewicz ZW, 2010, HYDROLOG SCI J, V55, P1085, DOI 10.1080/02626667.2010.513211
   Kunreuther H, 2013, NAT CLIM CHANGE, V3, P447, DOI [10.1038/nclimate1740, 10.1038/NCLIMATE1740]
   Kwakkel JH, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000626
   Lempert R, 2004, CLIMATIC CHANGE, V65, P1, DOI 10.1023/B:CLIM.0000037561.75281.b3
   Lempert RJ, 2006, MANAGE SCI, V52, P514, DOI 10.1287/mnsc.1050.0472
   Mazri C, 2017, RISK ANAL, V37, P2053, DOI 10.1111/risa.12759
   McNie EC, 2013, WEATHER CLIM SOC, V5, P14, DOI 10.1175/WCAS-D-11-00034.1
   Merz R, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009505
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   National Oceanic and Atmospheric Administration (NOAA), 2017, DIG COAST
   National Research Council, 2012, RES STRAT ENV HLTH S
   New M, 2007, PHILOS T R SOC A, V365, P2117, DOI 10.1098/rsta.2007.2080
   Shortridge J, 2017, CLIMATIC CHANGE, V140, P323, DOI 10.1007/s10584-016-1845-4
   Shortridge JE, 2016, RISK ANAL, V36, P2298, DOI 10.1111/risa.12582
   Stakhiv EZ, 2011, J AM WATER RESOUR AS, V47, P1183, DOI 10.1111/j.1752-1688.2011.00589.x
   Steinschneider S, 2015, GEOPHYS RES LETT, V42, P5014, DOI 10.1002/2015GL064529
   Stephenson DB, 2012, ENVIRONMETRICS, V23, P364, DOI 10.1002/env.2153
   Tang S, 2012, WEATHER CLIM SOC, V4, P300, DOI 10.1175/WCAS-D-12-00028.1
   Tebaldi C, 2005, J CLIMATE, V18, P1524, DOI 10.1175/JCLI3363.1
   Tebaldi C, 2007, PHILOS T R SOC A, V365, P2053, DOI 10.1098/rsta.2007.2076
   Tibbetts J, 2005, ENVIRON HEALTH PERSP, V113, pA464, DOI 10.1289/ehp.113-a464
   Trenberth KE, 2015, NAT CLIM CHANGE, V5, P725, DOI 10.1038/NCLIMATE2657
   Turlington MW, 2017, ANTHEM WATER DIPL SE, P51
   UK Met Office, 2010, UK CLIM PROJ ACC
   US Federal Highway Administration (US FHWA), 2017, CLIM CHANG AD CAS ST
   US Federal Highway Administration (US FHWA), 2016, CMIP CLIM DAT PROC T
   US Federal Highway Administration (US FHWA), 2017, 2013 2015 CLIM CHANG
   US Federal Highway Administration (US FHWA), 2015, VULN ASS SCOR TOOL
   Vaughan Catherine, 2016, Climate Services, V4, P65, DOI 10.1016/j.cliser.2016.11.004
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Vaughan DG, 2002, CLIMATIC CHANGE, V52, P65, DOI 10.1023/A:1013038920600
   Vogel Jason, 2016, Climate Services, V2-3, P30, DOI 10.1016/j.cliser.2016.06.003
   Washington R, 2006, B AM METEOROL SOC, V87, P1355, DOI 10.1175/BAMS-87-10-1355
   Weaver CP, 2013, WIRES CLIM CHANGE, V4, P39, DOI 10.1002/wcc.202
   Wilby RL, 2005, HYDROL PROCESS, V19, P3201, DOI 10.1002/hyp.5819
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Williams AP, 2015, GEOPHYS RES LETT, V42, P6819, DOI 10.1002/2015GL064924
NR 75
TC 22
Z9 24
U1 3
U2 57
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 MAY
PY 2019
VL 39
IS 5
BP 959
EP 967
DI 10.1111/risa.13234
PG 9
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 HV8BD
UT WOS:000466204800002
PM 30452778
DA 2025-01-10
ER

PT J
AU Doblas-Reyes, FJ
   Andreu-Burillo, I
   Chikamoto, Y
   García-Serrano, J
   Guemas, V
   Kimoto, M
   Mochizuki, T
   Rodrigues, LRL
   van Oldenborgh, GJ
AF Doblas-Reyes, F. J.
   Andreu-Burillo, I.
   Chikamoto, Y.
   Garcia-Serrano, J.
   Guemas, V.
   Kimoto, M.
   Mochizuki, T.
   Rodrigues, L. R. L.
   van Oldenborgh, G. J.
TI Initialized near-term regional climate change prediction
SO NATURE COMMUNICATIONS
LA English
DT Article
ID DECADAL PREDICTION; VARIABILITY; MODEL; TEMPERATURE; SIMULATION;
   PREDICTABILITY; UNCERTAINTY; FORECASTS; ENSEMBLES; WEATHER
AB Climate models are seen by many to be unverifiable. However, near-term climate predictions up to 10 years into the future carried out recently with these models can be rigorously verified against observations. Near-term climate prediction is a new information tool for the climate adaptation and service communities, which often make decisions on near-term time scales, and for which the most basic information is unfortunately very scarce. The Fifth Coupled Model Intercomparison Project set of co-ordinated climate-model experiments includes a set of near-term predictions in which several modelling groups participated and whose forecast quality we illustrate here. We show that climate forecast systems have skill in predicting the Earth's temperature at regional scales over the past 50 years and illustrate the trustworthiness of their predictions. Most of the skill can be attributed to changes in atmospheric composition, but also partly to the initialization of the predictions.
C1 [Doblas-Reyes, F. J.] Inst Catalana Recerca & Estudis Avancats, Barcelona 08010, Spain.
   [Doblas-Reyes, F. J.; Andreu-Burillo, I.; Garcia-Serrano, J.; Guemas, V.; Rodrigues, L. R. L.] Inst Catala Ciencies Clima IC3, Barcelona 08005, Spain.
   [Chikamoto, Y.] Univ Hawaii, Int Pacific Res Ctr, Honolulu, HI 96822 USA.
   [Garcia-Serrano, J.; Kimoto, M.] Univ Tokyo, Atmosphere & Ocean Res Inst, Kashiwa, Chiba 2778568, Japan.
   [Guemas, V.] Ctr Natl Rech Meteorol, Grp Etude Atmosphere Meteorol CNRM GAME, UMR 3589, F-31057 Toulouse, France.
   [Mochizuki, T.] Japan Agcy Marine Earth Sci & Technol JAMSTEC, Kanazawa Ku, Yokohama, Kanagawa 2360001, Japan.
   [van Oldenborgh, G. J.] Koninklijk Nederlands Meteorol Inst, NL-3730 AE De Bilt, Netherlands.
C3 ICREA; Institut Catala de Ciencies del Clima (IC3); University of Hawaii
   System; University of Tokyo; Centre National de la Recherche
   Scientifique (CNRS); CNRS - National Institute for Earth Sciences &
   Astronomy (INSU); Japan Agency for Marine-Earth Science & Technology
   (JAMSTEC); Royal Netherlands Meteorological Institute
RP Doblas-Reyes, FJ (corresponding author), Inst Catalana Recerca & Estudis Avancats, Passeig Lluis Co 23, Barcelona 08010, Spain.
EM francisco.doblas-reyes@ic3.cat
RI Chikamoto, Yoshimitsu/A-5198-2015; Mochizuki, Takashi/C-7466-2013;
   kimoto, masahide/P-9077-2014; van Oldenborgh, Geert/A-4176-2011;
   Doblas-Reyes, Francisco/C-1228-2016; Garcia-Serrano, Javier/I-5058-2015;
   Guemas, Virginie/B-9090-2016
OI Doblas-Reyes, Francisco/0000-0002-6622-4280; Garcia-Serrano,
   Javier/0000-0003-3913-0876; Chikamoto, Yoshimitsu/0000-0003-1001-5188;
   Guemas, Virginie/0000-0002-6340-3558
FU QWeCI [FP7-ENV-2009-1-243964]; THOR [FP7-ENV-2007- 212643]; CLIM-RUN
   [FP7-ENV-2010-1-265192]; SPECS [FP7-ENV-3038378]; EU; RUCSS
   [CGL2010-20657]; MINECO; KAKUSHIN; Japanese MEXT; CANON Foundation in
   Europe [2011-062]; ICREA Funding Source: Custom
FX This work was supported by the QWeCI (FP7-ENV-2009-1-243964), THOR
   (FP7-ENV-2007- 212643), CLIM-RUN (FP7-ENV-2010-1-265192) and SPECS
   (FP7-ENV-3038378) EU-funded, the RUCSS (CGL2010-20657) MINECO-funded
   projects and the KAKUSHIN programme funded by Japanese MEXT. J.G.-S. was
   additionally supported by the CANON Foundation in Europe (2011-062). We
   acknowledge the computer resources, technical expertise and assistance
   provided by the Red Espanola de Supercomputacion (RES) and the European
   Centre for Medium-Range Weather Forecasts (ECMWF) under the special
   project SPESICCF. Wolfgang Muller and Bill Merryfield are gratefully
   acknowledged for making available data from some of their experiments.
CR Boer GJ, 2011, CLIM DYNAM, V36, P1119, DOI 10.1007/s00382-010-0747-9
   Booth B BB., 2012, Nature, V453, P84
   Chikamoto Y, 2012, J METEOROL SOC JPN, V90A, P1, DOI 10.2151/jmsj.2012-A01
   Corti S, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053354
   Delworth TL, 2006, J CLIMATE, V19, P643, DOI 10.1175/JCLI3629.1
   Doblas-Reyes FJ, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015394
   Du H, 2012, CLIM DYNAM, V39, P2013, DOI 10.1007/s00382-011-1285-9
   Easterling DR, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL037810
   Ewert F, 2012, NAT CLIM CHANGE, V2, P153, DOI 10.1038/nclimate1426
   Fan Y, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD008470
   Fyfe JC, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049508
   Gangsto R, 2013, CLIM RES, V55, P181, DOI 10.3354/cr01135
   García-Serrano J, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053283
   García-Serrano J, 2012, CLIM DYNAM, V39, P2025, DOI 10.1007/s00382-012-1413-1
   Goddard L., 2013, Clim. Dynam, V40, P245, DOI DOI 10.1007/S00382-012-1481-2
   Gordon C, 2000, CLIM DYNAM, V16, P147, DOI 10.1007/s003820050010
   Guemas V, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD018004
   Hagedorn R, 2005, TELLUS A, V57, P219, DOI 10.1111/j.1600-0870.2005.00103.x
   Hansen J, 2010, REV GEOPHYS, V48, DOI 10.1029/2010RG000345
   Hawkins E, 2011, CLIM DYNAM, V37, P407, DOI 10.1007/s00382-010-0810-6
   Hewitt C, 2012, NAT CLIM CHANGE, V2, P831, DOI 10.1038/nclimate1745
   Jolliffe I.T., 2011, FORECAST VERIFICATIO, DOI DOI 10.1002/9781119960003
   Keenlyside NS, 2008, NATURE, V453, P84, DOI 10.1038/nature06921
   Kharin VV, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052647
   Kim HM, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL051644
   Krueger O, 2011, J CLIMATE, V24, P1276, DOI 10.1175/2010JCLI3726.1
   Laepple T, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL033576
   Lean JL, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL038932
   Lee TCK, 2006, J CLIMATE, V19, P5305, DOI 10.1175/JCLI3912.1
   Masson D, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL046864
   Matei D, 2012, J CLIMATE, V25, P8502, DOI 10.1175/JCLI-D-11-00633.1
   McSharry PE, 2004, PHYSICA D, V192, P1, DOI 10.1016/j.physd.2004.01.003
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Meehl GA, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053423
   Meehl GA, 2009, B AM METEOROL SOC, V90, P1467, DOI 10.1175/2009BAMS2778.1
   Mochizuki T, 2012, J METEOROL SOC JPN, V90A, P373, DOI 10.2151/jmsj.2012-A22
   Mochizuki T, 2010, P NATL ACAD SCI USA, V107, P1833, DOI 10.1073/pnas.0906531107
   Murphy J, 2010, PROCEDIA ENVIRON SCI, V1, P287, DOI 10.1016/j.proenv.2010.09.018
   Palmer T., 2006, ECMWF NEWSLETTER, V106, P10, DOI [DOI 10.21957/AB129056EW, 10.21957/ab129056ew]
   Palmer TN, 2000, REP PROG PHYS, V63, P71, DOI 10.1088/0034-4885/63/2/201
   Pennell C, 2011, J CLIMATE, V24, P2358, DOI 10.1175/2010JCLI3814.1
   Pohlmann H, 2009, J CLIMATE, V22, P3926, DOI 10.1175/2009JCLI2535.1
   Pope VD, 2000, CLIM DYNAM, V16, P123, DOI 10.1007/s003820050009
   Power S, 1999, CLIM DYNAM, V15, P319, DOI 10.1007/s003820050284
   Rudolf B., 2010, NEW GPCC FULL DATA R
   Ruokolainen L, 2007, TELLUS A, V59, P309, DOI 10.1111/j.1600-0870.2007.00233.x
   Slingo J, 2011, PHILOS T R SOC A, V369, P4751, DOI 10.1098/rsta.2011.0161
   Smith D. M., 2012, CLIMATE DYN
   Smith DM, 2007, SCIENCE, V317, P796, DOI 10.1126/science.1139540
   Smith DM, 2010, NAT GEOSCI, V3, P846, DOI [10.1038/ngeo1004, 10.1038/NGEO1004]
   Smith TM, 2008, J CLIMATE, V21, P2283, DOI 10.1175/2007JCLI2100.1
   Sugiura N, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL039787
   Taylor K E., B AM METEOROL SOC, V93
   Trenberth KE, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026894
   van Oldenborgh GJ, 2012, CLIM DYNAM, V38, P1263, DOI 10.1007/s00382-012-1313-4
   Von Storch H., 2001, Statistical analysis in climate research, P484, DOI [10.1017/CBO9780511612336, DOI 10.1017/CBO9780511612336]
   Watanabe M, 2010, J CLIMATE, V23, P6312, DOI 10.1175/2010JCLI3679.1
NR 57
TC 263
Z9 274
U1 1
U2 59
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD APR
PY 2013
VL 4
AR 1715
DI 10.1038/ncomms2704
PG 9
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 143MR
UT WOS:000318872100072
PM 23591882
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Leida, C
   Romeu, JF
   García-Brunton, J
   Ríos, G
   Badenes, ML
AF Leida, Carmen
   Romeu, Jose F.
   Garcia-Brunton, Jesus
   Rios, Gabino
   Badenes, Maria L.
TI Gene expression analysis of chilling requirements for flower bud break
   in peach
SO PLANT BREEDING
LA English
DT Article
DE peach breeding; dormancy release; gene expression; DAM5
ID PERSICA L. BATSCH; DORMANCY RELEASE; PRUNUS-PERSICA;
   TEMPERATURE-DEPENDENCE; HEAT REQUIREMENT; REST COMPLETION; INDUCTION;
   REVEALS; GROWTH; IDENTIFICATION
AB Dormancy has been defined as the inability to initiate growth from meristem under favourable environmental conditions. The length of dormancy is a genotype-specific trait that limits the climatic adaptability of temperate crops, as peach. A better knowledge of the genes involved in dormancy may provide genetic tools for an early assessment of the trait in breeding programmes. Recent studies on the molecular aspects of dormancy provided an initial description of candidate genes involved in bud dormancy maintenance and release in peach. In this paper, we compare the chilling requirement for dormancy release of five peach cultivars with the expression of five genes and ESTs related to bud dormancy: DAM5, DB396 (ppa007606m), DB247 (ppa012188m), SB280 (ppa006974m) and PpB63 (ppa008309m). Results indicated that gene expression analysis could contribute to estimate the chilling requirement for dormancy release of new cultivars.
C1 [Leida, Carmen; Rios, Gabino; Badenes, Maria L.] IVIA, E-46113 Valencia, Spain.
   [Romeu, Jose F.; Garcia-Brunton, Jesus] Inst Murciano Invest & Desarrollo Agr & Alimentar, E-30150 Murcia, Spain.
RP Badenes, ML (corresponding author), IVIA, Apartado Oficial, E-46113 Valencia, Spain.
EM badenes_mlu@gva.es
RI , Jesus/LFR-9419-2024; Badenes, Maria Luisa/C-6606-2014; Rios,
   Gabino/F-4046-2011
OI GARCIA BRUNTON, JESUS/0000-0003-1501-7342; Leida, Carmen
   Alice/0000-0001-9513-8448; Badenes, Maria Luisa/0000-0001-9722-6783;
   Rios, Gabino/0000-0002-1398-282X
FU Ministerio de Ciencia e Innovacion [AGL2010-20595]; IVIA
FX We thank Dr. D Bielenberg for the revision and improvement of the MS.
   The research was supported by a grant from the Ministerio de Ciencia e
   Innovacion AGL2010-20595. C.L. was funded by a PhD fellowship from the
   IVIA.
CR Allona I, 2008, SPAN J AGRIC RES, V6, P201, DOI 10.5424/sjar/200806S1-389
   [Anonymous], ACTA HORTICULTURAE
   Arora R, 2003, HORTSCIENCE, V38, P911, DOI 10.21273/HORTSCI.38.5.911
   Baggiolini M., 1980, STADES REPERES ABRIC
   BALANDIER P, 1993, AGR FOREST METEOROL, V67, P95, DOI 10.1016/0168-1923(93)90052-J
   Bassett CL, 2006, J AM SOC HORTIC SCI, V131, P551, DOI 10.21273/JASHS.131.4.551
   Bäurle I, 2006, CELL, V125, P655, DOI 10.1016/j.cell.2006.05.005
   Bielenberg DG, 2004, J HERED, V95, P436, DOI 10.1093/jhered/esh057
   Bielenberg DG, 2008, TREE GENET GENOMES, V4, P495, DOI 10.1007/s11295-007-0126-9
   Chen DY, 2009, MOL BIOL REP, V36, P461, DOI 10.1007/s11033-007-9202-3
   COUVILLON GA, 1985, J AM SOC HORTIC SCI, V110, P47
   Coville FV, 1920, J AGRIC RES, V20, P0151
   Erez A, 1998, ACTA HORTIC, P507, DOI 10.17660/ActaHortic.1998.465.63
   EREZ A, 1979, J AM SOC HORTIC SCI, V104, P573
   EREZ A, 1987, J AM SOC HORTIC SCI, V112, P677
   Fan S, 2010, NEW PHYTOL, V185, P917, DOI 10.1111/j.1469-8137.2009.03119.x
   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
   HAUAGGE R, 1991, J AM SOC HORTIC SCI, V116, P116, DOI 10.21273/JASHS.116.1.116
   HEIDE OM, 1993, PHYSIOL PLANTARUM, V88, P531, DOI 10.1111/j.1399-3054.1993.tb01368.x
   Horvath DP, 2003, TRENDS PLANT SCI, V8, P534, DOI 10.1016/j.tplants.2003.09.013
   Jia Y, 2006, PLANT MOL BIOL, V61, P329, DOI 10.1007/s11103-006-0015-x
   Jiménez S, 2010, BMC PLANT BIOL, V10, DOI 10.1186/1471-2229-10-25
   Koike M, 1997, PLANT CELL PHYSIOL, V38, P707, DOI 10.1093/oxfordjournals.pcp.a029224
   Leida C, 2012, NEW PHYTOL, V193, P67, DOI 10.1111/j.1469-8137.2011.03863.x
   Leida C, 2010, TREE PHYSIOL, V30, P655, DOI 10.1093/treephys/tpq008
   Li ZG, 2009, J EXP BOT, V60, P3521, DOI 10.1093/jxb/erp195
   LINSLEYNOAKES GC, 1994, SCI HORTIC-AMSTERDAM, V59, P107, DOI 10.1016/0304-4238(94)90077-9
   Lopez-Molina L, 2003, GENE DEV, V17, P410, DOI 10.1101/gad.1055803
   Luedeling E, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020155
   Mathiason K, 2009, FUNCT INTEGR GENOMIC, V9, P81, DOI 10.1007/s10142-008-0090-y
   Mazzitelli L, 2007, J EXP BOT, V58, P1035, DOI 10.1093/jxb/erl266
   Monet R., 2008, PEACH BOT PRODUCTION, P106
   MURRAY MB, 1989, J APPL ECOL, V26, P693, DOI 10.2307/2404093
   Okie WR, 1998, ACTA HORTIC, P107, DOI 10.17660/ActaHortic.1998.465.9
   Olukolu BA, 2009, GENOME, V52, P819, DOI [10.1139/G09-050, 10.1139/g09-050]
   Oukabli Ahmed, 2007, Biotechnologie Agronomie Societe et Environnement, V11, P133
   RICHARDSON E A, 1974, Hortscience, V9, P331
   Rohde A, 2007, TRENDS PLANT SCI, V12, P217, DOI 10.1016/j.tplants.2007.03.012
   Ruiz D, 2007, ENVIRON EXP BOT, V61, P254, DOI 10.1016/j.envexpbot.2007.06.008
   Sánchez-Pérez R, 2007, PLANT BREEDING, V126, P310, DOI 10.1111/j.1439-0523.2007.01329.x
   Tacken E, 2010, PLANT PHYSIOL, V153, P294, DOI 10.1104/pp.109.151092
   Topp B. L., 2008, PEACH BOT PRODUCTION, P106
   Valentini N, 2001, INT J BIOMETEOROL, V45, P191, DOI 10.1007/s004840100107
   Viti R, 2010, SCI HORTIC-AMSTERDAM, V124, P217, DOI 10.1016/j.scienta.2010.01.001
   WEINBERGER JH, 1950, P AM SOC HORTIC SCI, V56, P122
   Yamane H, 2008, J AM SOC HORTIC SCI, V133, P708, DOI 10.21273/JASHS.133.5.708
   Yooyongwech S, 2009, PLANT CELL REP, V28, P1709, DOI 10.1007/s00299-009-0770-7
NR 48
TC 27
Z9 31
U1 1
U2 36
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0179-9541
EI 1439-0523
J9 PLANT BREEDING
JI Plant Breed.
PD APR
PY 2012
VL 131
IS 2
BP 329
EP 334
DI 10.1111/j.1439-0523.2011.01946.x
PG 6
WC Agronomy; Biotechnology & Applied Microbiology; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Biotechnology & Applied Microbiology; Plant Sciences
GA 917CX
UT WOS:000302151100016
DA 2025-01-10
ER

PT J
AU Muttuvelu, DV
   Wyke, S
   Vollertsen, J
AF Muttuvelu, Dansani Vasanthan
   Wyke, Simon
   Vollertsen, Jes
TI Measuring Infiltration Rates in Permeable Asphalt Pavement in Urban
   Landscapes
SO KSCE JOURNAL OF CIVIL ENGINEERING
LA English
DT Article
DE Permeable pavements; Sustainable pavements; SuDS systems; Infiltration;
   Management; Climate adaption
AB Efficient water management of roads has become increasingly important due to the escalating challenges posed by climate change. The existing body of research focusing on permeable pavements with surface layers of asphalts, concrete, and interlocking pavers, is limited, especially with respect to the use of porous asphalt as a surface layer is. Addressing the challenges and opportunities associated with permeable asphalt pavements, such as cleaning practices and maintaining infiltration efficiency is, nonetheless, essential to improve and advance urban engineering practices. This research, therefore, explores the intricate relationship between porous asphalt pavements and the dynamic behavior of infiltration rates over time. Utilizing both quantitative and qualitative data, the study revealed a variability in infiltration rates along the tested roads, affected by variables such as, pavement porosity and surface condition resulting from variation in the pavement construction process and practice.. The study, additionally, show that continuous cleaning and maintenance have a positive effect on the infiltration capability of permeable asphalt pavements, rendering surface cleaning essential, to maintain a high infiltration performance of permeable asphalt pavements.
C1 [Muttuvelu, Dansani Vasanthan; Vollertsen, Jes] Aalborg Univ, Dept Built Environm, DK-9000 Aalborg, Denmark.
   [Wyke, Simon] Aalborg Univ, Dept Sustainabil & Planning, DK-9000 Aalborg, Denmark.
C3 Aalborg University; Aalborg University
RP Muttuvelu, DV (corresponding author), Aalborg Univ, Dept Built Environm, DK-9000 Aalborg, Denmark.
EM dvm@build.aau.dk
RI Wyke, Simon/HHM-5051-2022; Vollertsen, Jes/IAO-9335-2023
OI Wyke, Simon/0000-0002-3592-7207; Vollertsen, Jes/0000-0003-0738-0547;
   Muttuvelu, Dansani Vasanthan/0000-0001-9859-4852
FU European Union [101112836]
FX This research was supported by grants from the Innovation Fund Denmark,
   for the Industrial PhD program between following partners: WSP Denmark
   A/S and Aalborg University. We would also like to thank the European
   Union's HORIZON-MISS-2022CLIMA-01 programme under grant agreement no.
   101112836, for financing Simon Wyke's contribution to this research.
CR Afonso ML, 2020, INT J PAVEMENT ENG, V21, P736, DOI 10.1080/10298436.2018.1508843
   Al-Rubaei A, 2012, INT C WAT SENS URB D
   Andersen TR, 2022, WATER-SUI, V14, DOI 10.3390/w14040666
   Atangana A, 2018, FRACTIONAL OPERATORS WITH CONSTANT AND VARIABLE ORDER WITH APPLICATION TO GEO-HYDROLOGY, P15, DOI 10.1016/B978-0-12-809670-3.00002-3
   Bean EZ, 2007, J IRRIG DRAIN ENG, V133, P249, DOI 10.1061/(ASCE)0733-9437(2007)133:3(249)
   Beecham S, 2012, P I CIVIL ENG-WAT M, V165, P161, DOI 10.1680/wama.2012.165.3.161
   Brinkmann S., 2015, Kvalitative Metoder (2. Udgave)
   City of Melbourne, 2023, Maintenance and monitoring of permeable pavements
   Cresswell J.W., 2015, A Concise Introduction to Mixed Methods Research
   Drake J, 2013, WATER SCI TECHNOL, V68, P1950, DOI 10.2166/wst.2013.450
   Elizondo-Martinez EJ, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104243
   Ellebjerg L, 2008, Two-layer porous asphalt-lifecycle - The Oster Sogade experiment
   Fetters MD, 2013, HEALTH SERV RES, V48, P2134, DOI 10.1111/1475-6773.12117
   Hansen K., 2008, Plants of the Grand River and Cedar River National Grasslands: 2008, P1
   Hein M.F., 2013, Int. J. Constr. Educ. Res., V9, P102, DOI [DOI 10.1080/15578771.2011.649886, 10.1080/15578771.2011.649886]
   Kuruppu U, 2019, ENVIRON EARTH SCI, V78, DOI 10.1007/s12665-019-8312-2
   Lane R, 2005, INT C SURF FRICT
   Lee JW, 2022, INT J PAVEMENT ENG, V23, P3147, DOI 10.1080/10298436.2021.1884861
   [Masson-Delmotte V. IPCC IPCC], 2021, Summary for Policy Makers
   Meesaraganda LVP, 2021, MATER TODAY-PROC, V45, P5494, DOI 10.1016/j.matpr.2021.02.201
   Minnesota Stormwater, 2023, Operation and maintenance of permeable pavement - Minnesota Stormwater Manual
   Mullaney J, 2014, CLEAN-SOIL AIR WATER, V42, P111, DOI 10.1002/clen.201300118
   Muttuvelu DV, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141912432
   Muttuvelu DV, 2021, INFRASTRUCTURES-BASE, V6, DOI 10.3390/infrastructures6120179
   Muttuvelu DV., 2019, Trafik Veje, V67, P58
   Ovesen NK, 2012, Laerebog i Geoteknik
   Pezzaniti D, 2009, P I CIVIL ENG-WAT M, V162, P211, DOI 10.1680/wama.2009.00034
   Rasmussen LA, 2023, SCI TOTAL ENVIRON, V869, DOI 10.1016/j.scitotenv.2023.161770
   Razzaghmanesh M, 2018, WATER-SUI, V10, DOI 10.3390/w10030337
   Rodriguez-Hernandez J, 2012, J HYDROL ENG, V17, P597, DOI 10.1061/(ASCE)HE.1943-5584.0000480
   Scholz M, 2007, BUILD ENVIRON, V42, P3830, DOI 10.1016/j.buildenv.2006.11.016
   Stovring J, 2021, 15 DWF WAT RES C, P16
   Stovring J, 2018, URBAN WATER J, V15, P124, DOI 10.1080/1573062X.2017.1414273
   Van Bochove GG, 2000, P PAPERS SUBMITTED R, P65
   Winston RJ, 2020, J SUSTAIN WATER BUIL, V6, DOI 10.1061/JSWBAY.0000889
   Winston RJ, 2016, J ENVIRON MANAGE, V169, P132, DOI 10.1016/j.jenvman.2015.12.026
   Yang QX, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142114583
NR 37
TC 0
Z9 0
U1 15
U2 15
PU KOREAN SOCIETY OF CIVIL ENGINEERS-KSCE
PI SEOUL
PA 3-16 JUNGDAE-RO 25-GIL, SONGPA-GU, SEOUL, 05661, SOUTH KOREA
SN 1226-7988
EI 1976-3808
J9 KSCE J CIV ENG
JI KSCE J. Civ. Eng.
PD NOV
PY 2024
VL 28
IS 11
BP 5255
EP 5265
DI 10.1007/s12205-024-0014-y
EA JUL 2024
PG 11
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA J9C2U
UT WOS:001274792900006
DA 2025-01-10
ER

PT J
AU Seddiky, MA
   Ara, E
   Karim, A
AF Seddiky, Md. Assraf
   Ara, Esmat
   Karim, Afsarul
TI Climate change-induced hazard risks and migration in Bangladesh: A case
   study
SO CURRENT RESEARCH IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
DE Climate change; Migration; Natural hazards; Disaster; Bangladesh
ID ADAPTATION; VULNERABILITY
AB This study explored the effect of climate related hazard-induced risks on migration using both qualitative and quantitative approaches. Data were collected by conducting a field survey in Cumilla City Corporation, eastern Bangladesh, with 100 respondents using simple random and purposive sampling techniques. Qualitative and quantitative data were analyzed using an integrated thematic analysis method directed by numerical and nonnumerical coding. The findings revealed that climate-related incidents in Bangladesh forced people to move from vulnerable to less vulnerable areas. People who have been hurt by disasters often decided early on to move away in search of a better life. Although many disaster-affected people had the minimum opportunity to stay in the same places, they migrated to avoid future risks and search for a secure life. Migrants faced many socioeconomic and environmental challenges in their new settlements. The raising awareness and policy strategies regarding environmental pollution and climate adaptation are urgently needed to reduce the hazard risks and vulnerability of the communities.
C1 [Seddiky, Md. Assraf; Ara, Esmat; Karim, Afsarul] Shahjalal Univ Sci & Technol, Dept Publ Adm, Sylhet, Bangladesh.
C3 Shahjalal University of Science & Technology (SUST)
RP Seddiky, MA (corresponding author), Shahjalal Univ Sci & Technol, Dept Publ Adm, Sylhet, Bangladesh.
EM assraf-pad@sust.edu; esmat-pad@sust.edu
RI Seddiky, Dr Md Assraf/GYD-6340-2022
CR Ahmed B., 2021, Climate Migrants in Bangladesh: A Journey towards Uncertainty.
   Ahsan MN, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-021-01864-1
   Ahsan R, 2014, Climate induced migration: lessons from Bangladesh
   Ahsan R, 2019, SOUTH ASIA RES, V39, P184, DOI 10.1177/0262728019842968
   Ajibade I, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102187
   Alam M., 2020, Dhaka TribuneA daily english newspaper in Bangladesh.
   Arnall A, 2015, GLOBAL ENVIRON CHANG, V31, P199, DOI 10.1016/j.gloenvcha.2015.01.011
   Ashrafuzzaman M, 2019, ENVIRON INT, V127, P402, DOI 10.1016/j.envint.2019.03.020
   Bappy K.M., 2021, Bmj, V6, P59
   Barua Anamika, 2018, Climate Change Governance and Adaptation: Case Studies from South Asia
   Berlemann M, 2017, CESIFO ECON STUD, V63, P353, DOI 10.1093/cesifo/ifx019
   Bianchi E, 2021, INT J DISAST RISK RE, V57, DOI 10.1016/j.ijdrr.2021.102147
   Bildirici M, 2022, ENVIRON SCI POLLUT R, V29, P39295, DOI 10.1007/s11356-022-18823-w
   Bucher-Maluschke J, 2017, INT J MIGR HEALTH SO, V13, P198, DOI 10.1108/IJMHSC-05-2015-0016
   Burrows K, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13040443
   Call MA, 2017, GLOBAL ENVIRON CHANG, V46, P157, DOI 10.1016/j.gloenvcha.2017.08.008
   Campbell S, 2020, J RES NURS, V25, P652, DOI 10.1177/1744987120927206
   Creswell J.W., 2021, A concise introduction to mixed methods research
   Czaika M., 2022, Changes., V1, P15
   Eisenstadt T.A., 2017, Climate Change-Induced Migration in Bangladesh.
   Faisal M, 2021, GEOMAT NAT HAZ RISK, V12, P2477, DOI 10.1080/19475705.2021.1967203
   Gelaye Y, 2024, COGENT FOOD AGR, V10, DOI 10.1080/23311932.2023.2294544
   Geremew YM, 2024, J TRAVEL RES, V63, P3, DOI 10.1177/00472875231168619
   Gyawali B, 2017, DISASTER MED PUBLIC, V11, P153, DOI 10.1017/dmp.2016.121
   Han Q, 2024, J GEOCHEM EXPLOR, V256, DOI 10.1016/j.gexplo.2023.107352
   Haque MM, 2017, CLIM RISK MANAG, V16, P43, DOI 10.1016/j.crm.2016.12.002
   Hasan MK, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100207
   Hathcoat JD, 2017, J MIX METHOD RES, V11, P433, DOI 10.1177/1558689815622114
   Hossain B, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.964648
   Islam K., 2016, Climate Change Induced Migration: The Case of Bangladesh, P278
   Islam MT, 2017, J ENVIRON MANAGE, V200, P347, DOI 10.1016/j.jenvman.2017.05.092
   Jakariya M, 2017, MODEL EARTH SYST ENV, V3, P1303, DOI 10.1007/s40808-017-0378-9
   Karim M. R., 2017, International Journal of Agricultural Extension, V5, P87
   Kothari U, 2014, GEOGR J, V180, P130, DOI 10.1111/geoj.12032
   Mallick B, 2015, ENVIRONMENTAL CHANGE, ADAPTATION AND MIGRATION: BRINGING IN THE REGION, P164
   Martin M, 2014, POPUL ENVIRON, V36, P85, DOI 10.1007/s11111-014-0207-2
   McKinlay J.B., 2020, Researching Health Care., P114
   Misra A.K., 2014, International Journal of Sustainable Built Environment, V3, P153, DOI [DOI 10.1016/J.IJSBE.2014.04.006, 10.1016/j.ijsbe.2014.04.006]
   Mohai P, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/125011
   Moore M, 2023, ENVIRON DEV SUSTAIN, V25, P2955, DOI 10.1007/s10668-022-02191-z
   Mortreux C, 2023, CURR OPIN ENV SUST, V60, DOI 10.1016/j.cosust.2022.101234
   Naser MM, 2019, ASIA PAC VIEWP, V60, P175, DOI 10.1111/apv.12236
   Neef K., 2023, J. Peace Dev., V18, P231
   Ngcamu BS, 2023, NAT HAZARDS, V118, P977, DOI 10.1007/s11069-023-06070-2
   Rabbani G., 2018, AGR EC CURRENT ISSUE
   Radhakrishnan G., 2014, Int. J. Adv. Nursing Manage, V2, P24
   Rakib MA, 2019, J ENVIRON MANAGE, V231, P419, DOI 10.1016/j.jenvman.2018.10.054
   Sadekin M.N., 2014, Int. J. Innov. Appl. Stud., V8, P1142
   Sakapaji S.C., 2023, Eur. J. Theor. Appl. Sci.., V1, P463
   Sarwar N.E.A.M.J., 2023, P INT C DIS MAN NOV, VIV
   Seddiky M.A., 2021, Stud. Appl. Econ, V39
   Seddiky MA, 2023, SOC SCI-BASEL, V12, DOI 10.3390/socsci12090520
   Seddiky MA, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103088
   Seddiky MA, 2022, NAT HAZARDS, V111, P2155, DOI 10.1007/s11069-021-05097-7
   Seddiky MA, 2020, INT J DISAST RISK RE, V48, DOI 10.1016/j.ijdrr.2020.101580
   Sullivan JP, 2022, TERROR POLIT VIOLENC, V34, P914, DOI 10.1080/09546553.2022.2069446
   Sultana R, 2022, DISASTER MED PUBLIC, V16, P1287, DOI 10.1017/dmp.2020.493
   Toscano Julia., 2015, Arizona Journal of Environmental Law Policy, V6, P457
   Turco M, 2015, GEOPHYS RES LETT, V42, P3521, DOI 10.1002/2015GL063891
   Wan Z., 2019, CHALLENGES OPPORTUNI, P47
NR 60
TC 1
Z9 1
U1 5
U2 6
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 2024
VL 7
AR 100253
DI 10.1016/j.crsust.2024.100253
EA MAR 2024
PG 9
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA PP9I3
UT WOS:001215397400001
OA gold
DA 2025-01-10
ER

PT J
AU Fracalanza, AP
   da Paz, MGA
   Alves, EM
AF Fracalanza, Ana Paula
   da Paz, Mariana Gutierres Arteiro
   Alves, Estela Macedo
TI Water and sanitation in Brazil: conflicts, appropriation, and climate
   injustice
SO DESENVOLVIMENTO E MEIO AMBIENTE
LA English
DT Article
DE conflicts over water; climate justice; access to water; sanitation;
   social participation
AB This article addresses the conflicts over water use and the appropriation of sanitation sector by new actors, considering the new legal framework and climatic changes context. The analysis was done under the Sustainable Development Goal 6 lens: "Ensure access to water and sanitation for all". Brazilian sanitation sector has been affected by constant changes in the legal framework that occurred in the past decade. Knowing that the universalization of public water supply and access to sewage infrastructure was not reached yet, added to this the unequal distribution of water and sanitation according to populations and regions, prevailing the access in urban centers in detriment of communities living in peripheral areas, it is necessary to understand those uses considering the theory of conflicts over water uses. Drought events and water governance crisis are added to the problems mentioned and associated to climate Injustice, in a way that make it essential to include climate changes and climate adaptation in the sanitation agenda, so that access to water and sanitation can be guaranteed for all.
C1 [Fracalanza, Ana Paula; Alves, Estela Macedo] Univ Sao Paulo, Sao Paulo, SP, Brazil.
   [da Paz, Mariana Gutierres Arteiro] Inst Nacl Pesquisas Espaciais INPE, Sao Jose Dos Campos, SP, Brazil.
   [Alves, Estela Macedo] Fundacao Oswaldo Cruz Fiocruz, Belo Horizonte, MG, Brazil.
C3 Universidade de Sao Paulo; Instituto Nacional de Pesquisas Espaciais
   (INPE); Fundacao Oswaldo Cruz
RP Fracalanza, AP (corresponding author), Univ Sao Paulo, Sao Paulo, SP, Brazil.
EM fracalan@usp.br
RI da Paz, Mariana/AAN-3366-2021; Fracalanza, Ana/B-3836-2013
OI Fracalanza, Ana/0000-0001-9289-0028
CR Alves E. M., 2022, Seguranca hidrica e participacao social
   Alves E.M., 2018, Water Conflicts and Hydrocracy in the Americas: Coalitions, Networks, Policies, P51, DOI [10.11606/9788586923494, DOI 10.11606/9788586923494]
   Alves E. M., 2018, Water conflicts and hydrocracy in the americas: coalitions, networks, policies, P124
   Alves EM, 2021, FRONT SUSTAIN CITIES, V3, DOI 10.3389/frsc.2021.683660
   [Anonymous], 1997, Lei no 9.433, de 08 de janeiro de 1997. Institui a Politica Nacional de Recursos Hidricos, cria o Sistema Nacional de Gerenciamento de Recursos Hidricos
   [Anonymous], 2007, Lein.11.445, de 5 de janeiro de 2007. Estabelece as diretrizes nacionais para o saneamen- to basico; cria o Comite Interministerial de Saneamento Basico; altera as Leis nos 6.766, de 19 de dezembro de 1979, 8.666, de 21 de junho de 1993, e 8.987, de 13 de fevereiro de 1995; e revoga a Lei n. 6.528, de 11 de maio de 1978
   [Anonymous], 2020, Lei Federal n 14.026, de 15 de julho de 2020. Atualiza o marco legal do saneamento basico
   Artaxo Paulo, 2020, Estud. av., V34, P53
   Bardanachvili E., 2021, O modelo de privatizacao da agua e do saneamento esta mostrando suas fissuras
   Bastos Pedro Paulo Zahluth, 2017, Rev. econ. contemp., V21, pe172129
   Calisto D. A., 2022, A selvageria da privatizacao do saneamento no Brasil
   Castro A. R. N. de, 2021, Geografia em Questao, V14, P206
   Castro J. E., 2013, Politica publica e gestao dos servicos de saneamento, P53
   DATASUS, 2020, Informacoes de Saude (TABNET)
   Empinotti VL, 2021, WATER INT, V46, P956, DOI 10.1080/02508060.2021.1937901
   Fernandez-Vargas G., 2017, Gestion y Ambiente, V20, P62
   Fracalanza A. P., 2018, Waterlat-Gobacit Network Papers The-matic Area Series-TA3, V5, P53
   Fracalanza A. P., 2016, Geousp: Espaco e Tempo, V19, P464
   Fracalanza A. P., 2022, Sociedade, meio ambiente e cidadania em tempos de pandemia, P155
   FRACALANZA A. P., 2009, Governanca da agua no Brasil: uma visao interdisciplinar, P135
   Fundacao Mary Robinson para Justica Climatica, Principios de Justica Climatica
   Gutiérrez APA, 2014, WEATHER CLIM EXTREME, V3, P95, DOI 10.1016/j.wace.2.013.12.001
   Heller L., 2020, Realizacao progressiva dos direitos humanos a agua e ao esgotamento sanitario: relatorio do relator especial sobre os direitos humanos a agua potavel e ao esgotamento sanitario
   IPEA-Instituto de Pesquisa Economica Aplicada, 2018, Objetivos de desenvolvimento sustentavel 6: agua potavel e saneamento
   IPEA-Instituto de Pesquisa Economica Aplicada, 2018, Metas nacionais dos objetivos de desenvolvimento sustentavel
   Jacobi P. R., 2009, Governanca da agua no Brasil: uma visao interdisciplinar, P35
   Kuwajima J. I., 2020, Saneamento no Brasil: proposta de priorizacao do investimento publico
   Louback A. C., 2020, Le Monde Diplomatique Brasil, V194
   MCidades/ SNIS-Ministerio das Cidades/ Secretaria Nacional de Saneamento Ambiental/ Sistema Nacional de Informacoes Sobre Saneamento, 2017, Diagnostico dos servicos de agua e esgoto-2015
   MCTI-Ministerio da Ciencia Tecnologia e Inovacoes, Adapta Brasil: dados e impactos
   MDR/SNIS-Ministerio do Desenvolvimento Regional, 2021, Sistema Nacional de Informacoes Sobre Saneamento
   MDR/SNS-Ministerio do Desenvolvimento Regional/ Secretaria Nacional de Saneamento, 2021, Plansab: Relatorio de Avaliacao Anual 2019
   MDR/SNS-Ministerio do Desenvolvimento Regional/ Secretaria Nacional de Saneamento, 2023, Plansab: Relatorio de Avaliacao Anual 2021
   MDR/SNS-Ministerio do Desenvolvimento Regional/ Secretaria Nacional de Saneamento, 2022, Plansab: Relatorio de Avaliacao Anual 2020
   Milanez B., 2011, Revista Terceiro Incluido, Goiania, V1, P82, DOI DOI 10.5216/TERI.V1I2.17842
   Miranda T., 2019, Proposta altera marco legal do saneamento basico
   Mulas A. S., 2013, Politica publica e gestao de servicos de saneamento, P98
   ONU-Organizacao das Nacoes Unidas-Brasil, Os Objetivos do Desenvolvimento Sustentavel no Brasil
   PRODES-Amazonia, Monitoramento do Desmatamento da Floresta Amazonica Brasileira por Satelite
   SNIS-Sistema Nacional de Informacao sobre o Saneamento, Serie historica. Agua e esgoto
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   TILIO NETO PD, 2010, Ecopolitica das mudancas climaticas: o IPCC e o ecologismo dos pobres
   Torres Pedro Henrique Campello, 2021, Estud. av., V35, P159, DOI 10.1590/s0103-4014.2021.35102.010
   ZHOURI A., 2010, Desenvolvimento e Confl itos Ambientais, V1, P11, DOI DOI 10.7476/9788542303063
NR 44
TC 1
Z9 1
U1 2
U2 5
PU UNIV FEDERAL PARANA, EDITORA
PI PARANA
PA RUA JOAO NEGRAO 280, CURITIBA, PARANA, 80060-200, BRAZIL
SN 1518-952X
EI 2176-9109
J9 DESENVOLV MEIO AMBIE
JI Desenvolv. Meio Ambient.
PD JUL-DEC
PY 2023
VL 62
BP 904
EP 918
DI 10.5380/dma.v62i0.89421
PG 15
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA Y3ER7
UT WOS:001104140200015
OA gold
DA 2025-01-10
ER

PT J
AU Tebyanian, N
   Fischbach, J
   Lempert, R
   Knopman, D
   Wu, H
   Iulo, L
   Keller, K
AF Tebyanian, Nastaran
   Fischbach, Jordan
   Lempert, Robert
   Knopman, Debra
   Wu, Hong
   Iulo, Lisa
   Keller, Klaus
TI Rhodium-SWMM: An open-source tool for green infrastructure placement
   under deep uncertainty
SO ENVIRONMENTAL MODELLING & SOFTWARE
LA English
DT Article
DE Rhodium-SWMM; Robust decision making; Green infrastructure planning;
   Uncertainty; Multi-objective optimization
ID ROBUST DECISION-MAKING; LOW-IMPACT DEVELOPMENT; MULTIOBJECTIVE
   OPTIMIZATION; STRATEGIES; SIMULATION; ALLOCATION; FRAMEWORK; QUALITY;
   AREAS
AB Green Infrastructure (GI) measures are increasingly used for climate adaptation in urban areas, but it remains a challenge to evaluate their effectiveness and strategically allocate investment. Planning GI is subject to deep uncertainties and requires navigating tradeoffs between multiple objectives. Many-Objective Robust Decision Making (MORDM) can be useful in addressing these modeling challenges. Thus far, MORDM has been used sparsely for GI planning. To help mainstream MORDM applications in GI planning, we developed an open-source Python library: Rhodium-SWMM. Rhodium-SWMM connects the USEPA's Stormwater Management Model (SWMM) to Rhodium, a Python library for MORDM. Rhodium-SWMM provides a generalizable and flexible interface for taking SWMM input files and setting up a multi-objective optimization problem with the ability to define a wide range of parameters in the SWMM input file as uncertainties or levers. This opens opportunities to more conveniently analyze new research questions in multi-scale GI placement under deep uncertainty.
C1 [Tebyanian, Nastaran; Fischbach, Jordan] Water Inst Gulf, Baton Rouge, LA 70802 USA.
   [Lempert, Robert; Wu, Hong] RAND Corp, Santa Monica, CA USA.
   [Knopman, Debra] Penn State Univ, Dept Landscape Architecture, State Coll, PA USA.
   [Iulo, Lisa] Penn State Univ, Dept Architecture, State Coll, PA USA.
   [Keller, Klaus] Dartmouth Coll, Thayer Sch Engn, Hanover, NH USA.
C3 RAND Corporation; Pennsylvania Commonwealth System of Higher Education
   (PCSHE); Pennsylvania State University; Pennsylvania Commonwealth System
   of Higher Education (PCSHE); Pennsylvania State University; Dartmouth
   College
RP Tebyanian, N (corresponding author), Water Inst Gulf, Baton Rouge, LA 70802 USA.
EM ntebyanian@thewaterinstitute.org
RI Tebyanian, Nastaran/JBJ-0169-2023; Lempert, Robert/HKW-3892-2023
OI Wu, Hong/0000-0002-9728-8455; Iulo, Lisa/0000-0003-4331-5291
FU RAND Frederick S. Pardee Center for Longer Range Global Policy and the
   Future Human Condition; Mid-Atlantic Regional Integrated Sciences and
   Assessments (MARISA); Penn State Initiative for Resilient Community
   (PSIRC); Penn State Center for Climate Risk Management, Hamer Center for
   Community Design; Thayer School of Engineering at Dartmouth College
FX This study was supported by The RAND Frederick S. Pardee Center for
   Longer Range Global Policy and the Future Human Condition, Mid-Atlantic
   Regional Integrated Sciences and Assessments (MARISA) , Penn State
   Initiative for Resilient Community (PSIRC) , Penn State Center for
   Climate Risk Management, Hamer Center for Community Design, and the
   Thayer School of Engineering at Dartmouth College. We thank George
   Rossick for his invaluable contribution to software development and
   usability, Sitara Baboolal for replicating the code on Linux, Win- dows,
   and Mac machines, and members of the Keller Research Group for their
   feedback throughout research design and development. N.T and K.K
   designed the research; J.F, R.L, D.K, H.W, L.D.I, and K.K helped with
   the research development; N.T developed the software and performed the
   analysis; N.T wrote the paper; J.F, R.L, H.W, L.D.I, and K. K helped
   with editing and revising the paper; H.W guided writing revisions.
CR Achleitner S, 2007, ENVIRON MODELL SOFTW, V22, P1184, DOI 10.1016/j.envsoft.2006.06.013
   [Anonymous], 2014, STORM WATER MANAGEME
   Ashley R, 2018, ECOSYST SERV, V33, P237, DOI 10.1016/j.ecoser.2018.08.011
   Bockarjova M, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106480
   Casal-Campos A, 2015, ENVIRON SCI TECHNOL, V49, P8307, DOI 10.1021/es506144f
   Dong XY, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18147586
   Eckart K, 2018, J HYDROL, V562, P564, DOI 10.1016/j.jhydrol.2018.04.068
   Ferrans P, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.150447
   Fischbach J., 2017, Robust stormwater management in the pittsburgh region
   Fischbach J.R., 2020, MANAGING HEAVY RAINF, DOI [10.7249/RRA564-1, DOI 10.7249/RRA564-1]
   Fischbach J.R., 2015, Managing water quality in the face of uncertainty: A robust decision making demonstration for EPA's national water program
   González XI, 2023, INT T OPER RES, V30, P1617, DOI 10.1111/itor.12898
   Gu JJ, 2018, WATER RESOUR MANAG, V32, P4217, DOI 10.1007/s11269-018-2040-3
   Hadjimichael A., 2020, J OPEN RES STW, V8, P1, DOI [10.5334/JORS.293, DOI 10.5334/JORS.293]
   Hadka D, 2015, ENVIRON MODELL SOFTW, V74, P114, DOI 10.1016/j.envsoft.2015.07.014
   Hall JW, 2012, RISK ANAL, V32, P1657, DOI 10.1111/j.1539-6924.2012.01802.x
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   Hou Y, 2013, J ENVIRON MANAGE, V127, pS117, DOI 10.1016/j.jenvman.2012.12.002
   Jayasooriya VM, 2018, WATER RESOUR MANAG, V32, P4297, DOI 10.1007/s11269-018-2052-z
   Jayasooriya VM, 2014, WATER AIR SOIL POLL, V225, DOI 10.1007/s11270-014-2055-1
   Kasprzyk JR, 2013, ENVIRON MODELL SOFTW, V42, P55, DOI 10.1016/j.envsoft.2012.12.007
   Kazak JK, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124388
   Lempert R., 2003, Shaping the next one hundred years: New methods for quantitative, long-term policy analysis (MR-1626-CR)
   Lempert R.J., 2013, Policy Research Working Paper 6465
   Lempert R.J., 2019, Decision Making under Deep Uncertainty, P23, DOI [DOI 10.1007/978-3-030-05252-2, 10.1007/978-3-030-05252-2_2, DOI 10.1007/978-3-030-05252-22]
   Leng LY, 2022, WATER RES, V224, DOI 10.1016/j.watres.2022.119036
   Leng LY, 2021, SCI TOTAL ENVIRON, V775, DOI 10.1016/j.scitotenv.2021.145831
   Liberalesso T, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104693
   Lim TC, 2018, FRONT BUILT ENVIRON, V4, DOI 10.3389/fbuil.2018.00071
   Liu GWC, 2019, J HYDROL, V576, P520, DOI 10.1016/j.jhydrol.2019.06.073
   Liu ZJ, 2021, RESOUR CONSERV RECY, V174, DOI 10.1016/j.resconrec.2021.105801
   Macro K, 2019, ENVIRON MODELL SOFTW, V113, P42, DOI 10.1016/j.envsoft.2018.12.004
   manuals, MIKE URBAN DOCUMENTA
   Matrosov ES, 2013, WATER RESOUR MANAG, V27, P1123, DOI 10.1007/s11269-012-0118-x
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McDonnell Bryant, 2021, Zenodo, DOI 10.5281/ZENODO.5484299
   McDonnell Bryant E, 2020, J Open Source Softw, V5, P1, DOI 10.21105/joss.02292
   MCKAY MD, 1979, TECHNOMETRICS, V21, P239, DOI 10.2307/1268522
   Mei C, 2018, SCI TOTAL ENVIRON, V639, P1394, DOI 10.1016/j.scitotenv.2018.05.199
   Montalto F, 2007, LANDSCAPE URBAN PLAN, V82, P117, DOI 10.1016/j.landurbplan.2007.02.004
   Niazi M, 2017, J SUSTAIN WATER BUIL, V3, DOI [10.1061/jswbay.0000817, 10.1061/JSWBAY.0000817]
   Piscopo AN, 2021, J WATER RES PLAN MAN, V147, DOI [10.1061/(ASCE)WR.1943-5452.0001369, 10.1061/(asce)wr.1943-5452.0001369]
   Raei E, 2019, J HYDROL, V579, DOI 10.1016/j.jhydrol.2019.124091
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Rossman L., 2015, Technical Report
   SAVAGE LJ, 1951, J AM STAT ASSOC, V46, P55, DOI 10.2307/2280094
   Shoemaker L., 2009, SUSTAIN - A Framework for Placement of Best Management Practices in Urban Watersheds to Protect Water Quality
   Singh R, 2015, ECOL SOC, V20, DOI 10.5751/ES-07687-200312
   Tebyanian N., 2022, RHODIUM SWMM 0 1
   Tebyanian N., 2022, J DIGITAL LANDSC ARC, V7, DOI [10.14627/537724052, DOI 10.14627/537724052]
   Vogel JR, 2015, WATER ENVIRON RES, V87, P849, DOI 10.2175/106143015X14362865226392
   Wang J, 2020, WATER-SUI, V12, DOI 10.3390/w12102714
   Willems P, 2012, IMPACTS OF CLIMATE CHANGE ON RAINFALL EXTREMES AND URBAN DRAINAGE SYSTEMS, P1
   Wong T.H.F., 2012, MODEL URBAN STORMWAT, P1, DOI [10.1061/40644(2002)115, DOI 10.1061/40644(2002)115]
   Xu T, 2019, J ENVIRON MANAGE, V248, DOI 10.1016/j.jenvman.2019.109280
   Xu T, 2018, SCI TOTAL ENVIRON, V640, P570, DOI 10.1016/j.scitotenv.2018.05.358
   Yan D, 2017, SCI TOTAL ENVIRON, V607, P294, DOI 10.1016/j.scitotenv.2017.06.265
   Yang Y, 2018, J ENVIRON MANAGE, V206, P1090, DOI 10.1016/j.jenvman.2017.11.064
   Zarekarizi M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19188-9
   Zhang K, 2018, SCI TOTAL ENVIRON, V621, P915, DOI 10.1016/j.scitotenv.2017.11.281
NR 60
TC 2
Z9 3
U1 9
U2 32
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 MAY
PY 2023
VL 163
AR 105671
DI 10.1016/j.envsoft.2023.105671
EA MAR 2023
PG 9
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 H0DO5
UT WOS:000992758200001
DA 2025-01-10
ER

PT J
AU Done, JM
   Morss, RE
   Lazrus, H
   Towler, E
   Tye, MR
   Ge, M
   Das, T
   Munéver, A
   Hewitt, J
   Hoeting, JA
AF Done, James M.
   Morss, Rebecca E.
   Lazrus, Heather
   Towler, Erin
   Tye, Mari R.
   Ge, Ming
   Das, Tapash
   Munever, Armin
   Hewitt, Joshua
   Hoeting, Jennifer A.
TI Article Toward usable predictive climate information at decadal
   timescales
SO ONE EARTH
LA English
DT Article
ID CONTINENTAL UNITED-STATES; TEMPERATURE PREDICTIONS;
   SCIENTIFIC-INFORMATION; ATMOSPHERIC RIVERS; WATER-RESOURCES;
   PACIFIC-OCEAN; PREDICTABILITY; PRECIPITATION; WEATHER; UNCERTAINTY
AB Decadal climate predictions provide information out to the 10-year timescale, bridging the gap between seasonal and climate projections. This paper presents an interdisciplinary research framework to develop credible and use-relevant decadal climate predictions. We focused on case studies of flood risk and water resource management in Colorado and California. Climate-and stakeholder-oriented research streams iterate and build on each other, coming together over time to inform the development of decadal prediction images. These images are discussed with stakeholders to identify potentially usable formats and the decisions they may inform. Several potentially usable formats are identified: predictions alongside projections, predictions relative to historical climate, multivariate information, and information at the weather scale and in terms of hydrologic impacts. These image formats are potentially usable for climate adaptation planning and testing, public messaging, and justification of long-term investments and to engage policy makers around objectives. We conduct a critical review of the framework as implemented here and discuss its general applicability to other climate regions and decision contexts.
C1 [Done, James M.; Morss, Rebecca E.; Lazrus, Heather; Towler, Erin; Tye, Mari R.; Ge, Ming] Natl Ctr Atmospher Res, Boulder, CO 80301 USA.
   [Das, Tapash; Munever, Armin] Jacobs, San Diego, CA 92101 USA.
   [Hewitt, Joshua] Duke Univ, Dept Stat Sci, Durham, NC 27708 USA.
   [Hoeting, Jennifer A.] Colorado State Univ, Dept Stat, Ft Collins, CO 80523 USA.
C3 National Center Atmospheric Research (NCAR) - USA; Duke University;
   Colorado State University
RP Done, JM (corresponding author), Natl Ctr Atmospher Res, Boulder, CO 80301 USA.
EM done@ucar.edu
RI Tye, Mari/AAF-8901-2020; Hoeting, Jennifer/G-6334-2011
OI Done, James/0000-0002-1007-835X; Towler, Erin/0000-0002-1784-1346
FU National Science Foundation (NSF) [AGS-1419563, AGS-1419558,
   AGS-1419504, 1852977]; National Center for Atmospheric Research (NCAR)
FX We thank the participating stakeholders in Colorado and California for
   enthusiastically and openly engaging with the project. This work is
   supported by National Science Foundation (NSF) grants AGS-1419563,
   AGS-1419558, and AGS-1419504. This material is based upon work supported
   by the National Center for Atmospheric Research (NCAR) ; NCAR is a major
   facility sponsored by the NSF under Cooperative Agreement 1852977. We
   also acknowledge high-performance computing support provided by NCAR's
   Computational and Information Systems Laboratory, sponsored by the NSF.
CR [Anonymous], 2020, B AM METEOROL SOC, V101, P767, DOI 10.1175/BAMS-D-19-0037.1
   Barsugli J., 2009, CISC VIS NETW IND GL, P144
   Briley L, 2015, CLIM RISK MANAG, V9, P41, DOI 10.1016/j.crm.2015.04.004
   Cassou C, 2018, B AM METEOROL SOC, V99, P479, DOI 10.1175/BAMS-D-16-0286.1
   Chikamoto Y, 2020, COMMUN EARTH ENVIRON, V1, DOI 10.1038/s43247-020-00027-0
   Cobb A., 2017, Hurricanes and climate change, P167, DOI DOI 10.1007/978-3-319-47594-37
   Cook LM, 2020, CLIMATIC CHANGE, V159, P289, DOI 10.1007/s10584-019-02649-6
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Dettinger M., 2016, SAN FRANC ESTUARY WA, V14, DOI DOI 10.15447/sfews.2016v14iss2art5
   Dettinger MD, 2011, WATER-SUI, V3, P445, DOI 10.3390/w3020445
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Dong B, 2015, CLIM DYNAM, V45, P2667, DOI 10.1007/s00382-015-2500-x
   Eade R, 2014, GEOPHYS RES LETT, V41, P5620, DOI 10.1002/2014GL061146
   Eade R, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD018015
   Feldman DL, 2009, WEATHER CLIM SOC, V1, P9, DOI 10.1175/2009WCAS1007.1
   Goddard L, 2013, CLIM DYNAM, V40, P245, DOI 10.1007/s00382-012-1481-2
   Goddard L, 2012, B AM METEOROL SOC, V93, P621, DOI 10.1175/BAMS-D-11-00220.1
   Hagos S, 2015, J CLIMATE, V28, P2764, DOI 10.1175/JCLI-D-14-00567.1
   Hanlon HM, 2013, J CLIMATE, V26, P3728, DOI 10.1175/JCLI-D-12-00512.1
   Hawkins E, 2011, CLIM DYNAM, V37, P2495, DOI 10.1007/s00382-011-1023-3
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Hewitt J, 2018, ENVIRONMETRICS, V29, DOI 10.1002/env.2523
   Jacobs K, 2005, ENVIRONMENT, V47, P6, DOI 10.3200/ENVT.47.9.6-21
   Kay JE, 2015, B AM METEOROL SOC, V96, P1333, DOI 10.1175/BAMS-D-13-00255.1
   Kirchhoff CJ, 2015, CLIM RISK MANAG, V9, P1, DOI 10.1016/j.crm.2015.06.002
   Kirtman B, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P953
   Kushnir Y, 2019, NAT CLIM CHANGE, V9, P94, DOI 10.1038/s41558-018-0359-7
   Lee TCK, 2006, J CLIMATE, V19, P5305, DOI 10.1175/JCLI3912.1
   Liu X, 2016, J HYDROMETEOROL, V17, P273, DOI 10.1175/JHM-D-14-0195.1
   McNie EC, 2007, ENVIRON SCI POLICY, V10, P17, DOI 10.1016/j.envsci.2006.10.004
   Meehl GA, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11718
   Meehl GA, 2014, B AM METEOROL SOC, V95, P243, DOI 10.1175/BAMS-D-12-00241.1
   Meehl GA, 2009, B AM METEOROL SOC, V90, P1467, DOI 10.1175/2009BAMS2778.1
   Mehta VM, 2013, WEATHER CLIM SOC, V5, P27, DOI 10.1175/WCAS-D-11-00063.1
   Morss R.E., 2018, CLIVAR VARIATIONS
   Morss RE, 2005, B AM METEOROL SOC, V86, P1593, DOI 10.1175/BAMS-86-11-1593
   Morss RE, 2008, WEATHER FORECAST, V23, P974, DOI 10.1175/2008WAF2007088.1
   Morss RE, 2021, RISK ANAL, V41, P1152, DOI 10.1111/risa.13246
   Morss RE, 2011, ANNU REV ENV RESOUR, V36, P1, DOI 10.1146/annurev-environ-060809-100145
   Moss RH, 2013, SCIENCE, V342, P696, DOI 10.1126/science.1239569
   MURPHY AH, 1993, WEATHER FORECAST, V8, P281, DOI 10.1175/1520-0434(1993)008<0281:WIAGFA>2.0.CO;2
   Neri A, 2019, INT J CLIMATOL, V39, P1796, DOI 10.1002/joc.5915
   Ralph FM, 2005, MON WEATHER REV, V133, P889, DOI 10.1175/MWR2896.1
   Ralph FM, 2004, MON WEATHER REV, V132, P1721, DOI 10.1175/1520-0493(2004)132<1721:SACAOO>2.0.CO;2
   Raucher K., 2015, WATER UTILITY CLIMAT, P92
   Salvi K, 2017, CLIM DYNAM, V49, P3587, DOI 10.1007/s00382-017-3532-1
   Salvi K, 2017, J HYDROL, V553, P559, DOI 10.1016/j.jhydrol.2017.07.043
   Sandgathe S, 2020, B AM METEOROL SOC, V101, pE141, DOI 10.1175/BAMS-D-19-0248.1
   Simpson IR, 2019, NAT GEOSCI, V12, P613, DOI 10.1038/s41561-019-0391-x
   Smith DM, 2019, NPJ CLIM ATMOS SCI, V2, DOI 10.1038/s41612-019-0071-y
   Smith DM, 2013, CLIM DYNAM, V41, P2875, DOI 10.1007/s00382-012-1600-0
   Soares MB, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.523
   Soares MB, 2018, CLIM SERV, V9, P5, DOI 10.1016/j.cliser.2017.06.001
   Towler E, 2021, J APPL METEOROL CLIM, V60, P171, DOI 10.1175/JAMC-D-20-0134.1
   Towler E, 2018, J APPL METEOROL CLIM, V57, P555, DOI 10.1175/JAMC-D-17-0113.1
   Vera C, 2010, PROCEDIA ENVIRON SCI, V1, P275, DOI 10.1016/j.proenv.2010.09.017
   Watson CC, 2008, CLIMATE EXTREMES AND SOCIETY, P209, DOI 10.1017/CBO9780511535840.014
   Wong-Parodi G, 2017, SCI ENG ETHICS, V23, P1369, DOI 10.1007/s11948-016-9816-8
   Yeager SG, 2018, B AM METEOROL SOC, V99, P1867, DOI 10.1175/BAMS-D-17-0098.1
   Zhu Y, 1998, MON WEATHER REV, V126, P725, DOI 10.1175/1520-0493(1998)126<0725:APAFMF>2.0.CO;2
NR 60
TC 3
Z9 3
U1 0
U2 4
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
SN 2590-3330
EI 2590-3322
J9 ONE EARTH
JI One Earth
PD SEP 17
PY 2021
VL 4
IS 9
BP 1297
EP 1309
DI 10.1016/j.oneear.2021.08.013
EA SEP 2021
PG 14
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 US8KB
UT WOS:000697673200018
OA Bronze
DA 2025-01-10
ER

PT J
AU Cohen, JS
   Zeff, HB
   Herman, JD
AF Cohen, Jonathan S.
   Zeff, Harrison B.
   Herman, Jonathan D.
TI How do the properties of training scenarios influence the robustness of
   reservoir operating policies to climate uncertainty?
SO ENVIRONMENTAL MODELLING & SOFTWARE
LA English
DT Article
DE Policy search; Reservoir operations; Climate adaptation; Robustness;
   Scenario selection
ID DECISION-MAKING; SURFACE-WATER; ADAPTATION; SYSTEMS; SEARCH; MODEL;
   MANAGEMENT; VULNERABILITY; OPTIMIZATION; INFORMATION
AB Reservoir control policies provide a flexible option to adapt to the uncertain hydrologic impacts of climate change. This challenge requires robust policies capable of navigating scenarios that are wetter, drier, or more variable than anticipated. While a number of prior studies have trained robust policies using large scenario ensembles, there remains a need to understand how the properties of training scenarios impact policy robustness. Specifically, this study investigates scenario properties including annual runoff, snowpack, and baseline regret-the difference between baseline policy and perfect foresight performance in an individual scenario. Results indicate that policies trained to scenario subsets with high baseline regret outperform those generated with other training sets in both wetter and drier futures, largely by adopting an intra-annual hedging strategy. The approach highlights the potential to improve the efficiency and robustness of policy training by considering both the hydrologic properties and baseline regret of the training ensemble.
C1 [Cohen, Jonathan S.; Herman, Jonathan D.] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA.
   [Zeff, Harrison B.] Univ N Carolina, Dept Environm Sci & Engn, Chapel Hill, NC 27515 USA.
C3 University of California System; University of California Davis;
   University of North Carolina; University of North Carolina Chapel Hill
RP Cohen, JS (corresponding author), Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA.
EM joncohen@ucdavis.edu
RI Herman, Jonathan/M-9079-2017
OI Herman, Jonathan/0000-0002-4081-3175; Cohen,
   Jonathan/0000-0001-5516-1379
FU U.S. National Science Foundation [CBET-1803589]; INFEWS grant
   [CNS-1639268]
FX This work was partially supported by the U.S. National Science
   Foundation grant CBET-1803589 and INFEWS grant CNS-1639268. Any
   opinions, findings, and conclusions are those of the authors and do not
   necessarily reflect the views or policies of the NSF. We further
   acknowledge the World Climate Research Program's Working Group on
   Coupled Modeling and the climate modeling groups listed in the
   supplement of this paper for producing and making available their model
   output.
CR Anderson J, 2008, CLIMATIC CHANGE, V87, pS91, DOI 10.1007/s10584-007-9353-1
   Asadieh B, 2017, HYDROL EARTH SYST SC, V21, P5863, DOI 10.5194/hess-21-5863-2017
   Beh EHY, 2015, WATER RESOUR RES, V51, P1529, DOI 10.1002/2014WR016254
   Bertoni F, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001182
   Brekke L., 2014, Downscaled CMIP3 and CMIP5 hydrology projections release of hydrology projections, comparison with preceding information, and summary of user needs
   Brekke LD, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR006941
   Brodeur ZP, 2020, WATER RESOUR RES, V56, DOI 10.1029/2020WR027184
   Brown C, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011212
   Carlsen H, 2016, ENVIRON MODELL SOFTW, V84, P155, DOI 10.1016/j.envsoft.2016.06.011
   Cayan DR, 2001, B AM METEOROL SOC, V82, P399, DOI 10.1175/1520-0477(2001)082<0399:CITOOS>2.3.CO;2
   CDEC, 2018, CAL DAT EXCH CTR
   Cohen JS, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001300
   Mateus MC, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000742, 10.1061/(asce)wr.1943-5452.0000742]
   Culley S, 2016, WATER RESOUR RES, V52, P6751, DOI 10.1002/2015WR018253
   Deb K, 2014, IEEE T EVOLUT COMPUT, V18, P577, DOI 10.1109/TEVC.2013.2281535
   Dessai S, 2004, CLIM POLICY, V4, P107
   Dottori F, 2018, NAT CLIM CHANGE, V8, P781, DOI 10.1038/s41558-018-0257-z
   Draper AJ, 2004, J WATER RES PL-ASCE, V130, P83, DOI 10.1061/(ASCE)0733-9496(2004)130:1(83)
   Eker S, 2018, ENVIRON MODELL SOFTW, V105, P201, DOI 10.1016/j.envsoft.2018.03.029
   Fletcher S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09677-x
   Fletcher SM, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(asce)wr.1943-5452.0000823, 10.1061/(ASCE)WR.1943-5452.0000823]
   Giudici F, 2020, ENVIRON MODELL SOFTW, V127, DOI 10.1016/j.envsoft.2020.104681
   Giuliani M, 2015, WATER RESOUR RES, V51, P9073, DOI 10.1002/2015WR017044
   Giuliani M, 2014, WATER RESOUR RES, V50, P3355, DOI 10.1002/2013WR014700
   Giuliani M, 2018, IEEE T CONTR SYST T, V26, P1492, DOI 10.1109/TCST.2017.2705162
   Giuliani M, 2016, CLIMATIC CHANGE, V135, P409, DOI 10.1007/s10584-015-1586-9
   Giuliani M, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000570
   Gleick PH, 2002, NATURE, V418, P373, DOI 10.1038/418373a
   Groves D.G., 2013, ADAPTING CHANGING CO
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hadka David., 2015, Platypus - Multiobjective Optimization in Python
   Hamarat C, 2014, SIMUL MODEL PRACT TH, V46, P25, DOI 10.1016/j.simpat.2014.02.008
   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
   Huang XY, 2018, GEOPHYS RES LETT, V45, P6215, DOI 10.1029/2018GL077432
   Hui R, 2018, ADV WATER RESOUR, V118, P83, DOI 10.1016/j.advwatres.2018.05.009
   Kapnick S, 2010, J CLIMATE, V23, P3446, DOI 10.1175/2010JCLI2903.1
   Karamouz M, 2013, EARTH INTERACT, V17, DOI 10.1175/2012EI000503.1
   Kasprzyk JR, 2013, ENVIRON MODELL SOFTW, V42, P55, DOI 10.1016/j.envsoft.2012.12.007
   Klos PZ, 2014, GEOPHYS RES LETT, V41, P4560, DOI 10.1002/2014GL060500
   Knowles N, 2018, WATER RESOUR RES, V54, P7631, DOI [10.1029/2018WR022852, 10.1029/2018wr022852]
   Knowles N, 2006, J CLIMATE, V19, P4545, DOI 10.1175/JCLI3850.1
   Koutsoyiannis D, 2003, WATER RESOUR RES, V39, DOI 10.1029/2003WR002148
   Kwakkel JH, 2016, ENVIRON MODELL SOFTW, V86, P168, DOI 10.1016/j.envsoft.2016.09.017
   Kwakkel JH, 2015, CLIMATIC CHANGE, V132, P373, DOI 10.1007/s10584-014-1210-4
   Lempert RJ, 2007, RISK ANAL, V27, P1009, DOI 10.1111/j.1539-6924.2007.00940.x
   Liang X, 1994, J GEOPHYS RES-ATMOS, V99, P14415, DOI 10.1029/94JD00483
   Maier HR, 2016, ENVIRON MODELL SOFTW, V81, P154, DOI 10.1016/j.envsoft.2016.03.014
   MANN HB, 1947, ANN MATH STAT, V18, P50, DOI 10.1214/aoms/1177730491
   McCabe GJ, 2007, B AM METEOROL SOC, V88, P319, DOI 10.1175/BAMS-88-3-319
   Medellin-Azuara J, 2008, CLIMATIC CHANGE, V87, pS75, DOI 10.1007/s10584-007-9355-z
   Nayak MA, 2018, WATER RESOUR RES, V54, P7557, DOI [10.1029/2018wr023177, 10.1029/2018WR023177]
   Prudhomme C, 2010, J HYDROL, V390, P198, DOI 10.1016/j.jhydrol.2010.06.043
   Quinn J., 2019, Water Resources Research
   Quinn JD, 2018, WATER RESOUR RES, V54, P4638, DOI 10.1029/2018WR022743
   Quinn JD, 2017, ENVIRON MODELL SOFTW, V92, P125, DOI 10.1016/j.envsoft.2017.02.017
   Ray P, 2020, CLIMATIC CHANGE, V161, P177, DOI 10.1007/s10584-020-02655-z
   Rhoades AM, 2018, EARTHS FUTURE, V6, P1221, DOI 10.1002/2017EF000789
   Russell S., 2016, ARTIF INTELL
   Salazar JZ, 2016, ADV WATER RESOUR, V92, P172, DOI 10.1016/j.advwatres.2016.04.006
   SAVAGE LJ, 1951, J AM STAT ASSOC, V46, P55, DOI 10.2307/2280094
   Steinschneider S, 2019, WATER RESOUR RES, V55, P6923, DOI 10.1029/2018WR024446
   Steinschneider S, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000536
   Steinschneider S, 2015, GEOPHYS RES LETT, V42, P5014, DOI 10.1002/2015GL064529
   Surfleet CG, 2013, J HYDROL, V479, P24, DOI 10.1016/j.jhydrol.2012.11.021
   Trindade BC, 2017, ADV WATER RESOUR, V104, P195, DOI 10.1016/j.advwatres.2017.03.023
   Turner SWD, 2014, WATER RESOUR RES, V50, P3553, DOI 10.1002/2013WR015156
   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
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Zeff HB, 2016, WATER RESOUR RES, V52, P7327, DOI 10.1002/2016WR018771
NR 72
TC 8
Z9 11
U1 0
U2 8
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1364-8152
EI 1873-6726
J9 ENVIRON MODELL SOFTW
JI Environ. Modell. Softw.
PD JUL
PY 2021
VL 141
AR 105047
DI 10.1016/j.envsoft.2021.105047
EA APR 2021
PG 15
WC Computer Science, Interdisciplinary Applications; Engineering,
   Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Computer Science; Engineering; Environmental Sciences & Ecology; Water
   Resources
GA SJ5IS
UT WOS:000655568800003
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Müller, A
   Mora, V
   Rojas, E
   Díaz, J
   Fuentes, O
   Giron, E
   Gaytan, A
   van Etten, J
AF Mueller, Anna
   Mora, Vesalio
   Rojas, Edwin
   Diaz, Jorge
   Fuentes, Obdulio
   Giron, Estuardo
   Gaytan, Ada
   van Etten, Jacob
TI Emergency drills for agricultural drought response: a case study in
   Guatemala
SO DISASTERS
LA English
DT Article
DE climate adaptation; cyclical drought; emergency drill; institutional
   capacity; slow-onset disasters
ID CENTRAL-AMERICA; CLIMATE; GAMES
AB Drills are an important element of disaster management, helping to increase preparedness and reduce the risk of real-time failure. Yet, they are not applied systematically to slow-onset disasters such as a drought, which causes damage that is not instantly apparent and thus does not solicit immediate action. This case study evaluates how drills inform institutional responses to slow-onset disasters. It spotlights Guatemala, a country where drought has severe impacts on livelihoods and the food security of small farmers. By implementing part of the Ministry of Agriculture, Livestock and Food's institutional response plan for drought, it explores how drills can help to detect issues in emergency response and to foster an institutional focus on improvements in preparedness. The results reveal that drills alone do not trigger institutional improvements if unsupported by a wider strategy that seeks to enhance capacities and protocols. These findings are valuable, however, in making problems transparent and in creating the space for discussion.
C1 [Mueller, Anna; Mora, Vesalio; van Etten, Jacob] Biovers Int, Turrialba, Costa Rica.
   [Mora, Vesalio] Univ Costa Rica, San Pedro, Costa Rica.
   [Mora, Vesalio] Minist Agr & Livestock, Turrialba, Costa Rica.
   [Rojas, Edwin] Minist Energy & Mines, Sustainable Dev, Guatemala City, Guatemala.
   [Diaz, Jorge] Minist Agr Livestock & Food, Rural Extens Unit, Guatemala City, Guatemala.
   [Fuentes, Obdulio] Natl Coordinat Disaster Reduct, Unit Integrated Disaster Risk Management, Guatemala City, Guatemala.
   [Giron, Estuardo] Trop Agr Res & Higher Educ Ctr, Turrialba, Costa Rica.
   [Gaytan, Ada] Acc Hambre, Disaster Risk Reduct, Guatemala City, Guatemala.
C3 Alliance; Bioversity International; Universidad Costa Rica; CATIE -
   Centro Agronomico Tropical de Investigacion y Ensenanza
RP Müller, A (corresponding author), Biovers Int, Costa Rica Off, POB CATIE 7170, Turrialba 30501, Costa Rica.
EM anna.muller@cgiar.org
OI Muller, Anna/0000-0003-3120-8560; Mora-calvo,
   Vesalio/0000-0003-1035-9343; van Etten, Jacob/0000-0001-7554-2558
FU Inter-American Institute for Global Change Research [CRN3107]; CGIAR
   Trust Fund
FX This research was made possible by the financial support of the
   Inter-American Institute for Global Change Research (grant number
   CRN3107) and was implemented as part of the CGIAR Research Program on
   Climate Change, Agriculture and Food Security (CCAFS), which is carried
   out with the support of the CGIAR Trust Fund and through bilateral
   funding agreements. For details please see
   https://ccafs.cgiar.org/donors (last accessed on 3 October 2018). The
   views expressed in this document are those of the authors and cannot be
   taken to reflect the official opinions of these organisations.
CR ACF, 2015, AN RESP SEQ 2015 GUA
   ACF FAO (Food and Agriculture Organization of the United Nations) and ECHO (European Community Humanitarian Aid Office), 2012, EST CAR CORR SEC CEN, V1
   Andersson A, 2016, J VOCAT EDUC TRAIN, V68, P245, DOI 10.1080/13636820.2016.1166450
   [Anonymous], 1981, Academy of Management Review, DOI [DOI 10.5465/AMR.1981.4288021, 10.5465/amr.1981.4288021, DOI 10.2307/257144]
   Avelino J, 2015, FOOD SECUR, V7, P303, DOI 10.1007/s12571-015-0446-9
   Bharosa N, 2010, INFORM SYST FRONT, V12, P49, DOI 10.1007/s10796-009-9174-z
   CONRED, 2015, PROT NAC GEST UNPUB
   CONRED (Coordinadora Nacional para la Reduccion de Desastres), 2011, POL NAC RED RIESG DE
   Crookall D, 2009, SIMULAT GAMING, V40, P8, DOI 10.1177/1046878108330364
   Crookall D, 2010, SIMULAT GAMING, V41, P898, DOI 10.1177/1046878110390784
   Duke R.D., 2004, IMPROVING DECISION Q
   Econnics Victoria BC, 2016, BRIT COL DROUGHT RES
   FAO (Food and Agriculture Organization of the United Nations), 2014, GUAT COUNTR FACT SHE
   FEWS NET, 2016, GUAT ZON MED VID SUS
   GWP (Global Water Partnership), 2014, PATR SEQ CENTR IMP P
   Hedlund K., 2007, SLOW ONSET DISASTERS
   Hill H, 2014, WEATHER CLIM EXTREME, V3, P107, DOI 10.1016/j.wace.2014.03.002
   Hofstede GJ, 2010, SIMULAT GAMING, V41, P824, DOI 10.1177/1046878110375596
   Imbach P., 2010, SERIE TECNICA, V99, P32
   Imbach P, 2017, CLIMATIC CHANGE, V141, P1, DOI 10.1007/s10584-017-1920-5
   Kim H, 2014, DISASTERS, V38, P846, DOI 10.1111/disa.12084
   Kobes M, 2010, BUILD ENVIRON, V45, P537, DOI 10.1016/j.buildenv.2009.07.004
   LaFond K., 2016, WATER SECURITY PRESS
   LeCompte MD, 2000, THEOR PRACT, V39, P146, DOI 10.1207/s15430421tip3903_5
   Lee YI, 2009, SIMULAT GAMING, V40, P726, DOI 10.1177/1046878109334006
   MAGA (Ministerio de Agricultura Ganaderia y Alimentacion de la Republica de Guatemala), 2012, PLAN I RESP PIR
   Mason D, 2008, J AM WATER WORKS ASS, V100, P48
   Nathan M., 2002, J APPL BEHAV SCI, V38, P245, DOI [/10, DOI 10.1177/00286302038002006]
   Pelling M., 2007, MANAGING DISASTER RI
   Pillay Rajeev., 2006, EVALUATION UNDP ASSI
   The World Bank, 2009, 43920GT WORLD BANK
   United Nations Office for the Coordination of Humanitarian 880 Affairs (OCHA), 2015, DROUGHT CENTR AM 201
   Wilhite D.A., 2012, DROUGHT MITIGATION C, V53
   Wilhite DA, 2005, CRC, DOI [10.1201/9781420028386, DOI 10.1201/9781420028386]
   Wilhite DA, 2014, WEATHER CLIM EXTREME, V3, P4, DOI 10.1016/j.wace.2014.01.002
   WMO (World Meteorological Organization) & GWP (Global Water Partnership), 2014, INT DROUGHT MAN PROG, V1
   Yoon SW, 2008, DECIS SUPPORT SYST, V46, P139, DOI 10.1016/j.dss.2008.06.002
   [No title captured]
NR 38
TC 8
Z9 8
U1 0
U2 9
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0361-3666
EI 1467-7717
J9 DISASTERS
JI Disasters
PD APR
PY 2019
VL 43
IS 2
BP 410
EP 430
DI 10.1111/disa.12316
PG 21
WC Environmental Studies; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Social Sciences - Other Topics
GA HP1HN
UT WOS:000461417600010
PM 30516865
OA Green Published
DA 2025-01-10
ER

PT J
AU Fernández-Lara, R
   Gordillo, B
   Rodríguez-Pulido, FJ
   González-Miret, ML
   del Villar-Martínez, AA
   Dávila-Ortiz, G
   Heredia, FJ
AF Fernandez-Lara, Rebeca
   Gordillo, Belen
   Rodriguez-Pulido, Francisco J.
   Lourdes Gonzalez-Miret, M.
   del Villar-Martinez, Alma A.
   Davila-Ortiz, Gloria
   Heredia, Francisco J.
TI Assessment of the differences in the phenolic composition and color
   characteristics of new strawberry (<i>Fragaria x ananassa</i> Duch.)
   cultivars by HPLC-MS and Imaging Tristimulus Colorimetry
SO FOOD RESEARCH INTERNATIONAL
LA English
DT Article
DE Strawberry; New cultivars; Anthocyanin; Color; Imaging Tristimulus
   Colorimetry
ID GENOTYPES; ANTIOXIDANT; RETENTION; SELECTION; QUALITY; YIELD; ACIDS;
   FOOD
AB The phenolic composition (by HPLC-DAD-MS) and color characteristics (by Imaging Tristimulus Colorimetry) of four strawberry cultivars that have shown good climate adaptation to subtropical area (Nikte, Zamorana, Jacona and Pakal) have been assessed. 24 monomeric phenolics were identified, including 15 anthocyanins, 5 phenolic acids, 1 flavanol and 4 flavonols. Nikte and Zamorana showed the highest phenolic potential mainly due to their higher content of anthocyanins, while Pakal was richer in phenolic acids. Regarding color, Nikte and Zamorana were the more similar cultivars having the lowest values of lightness and hue. On the contrary, the color of Pakal was quite different from all the rest, due to the specific distribution between pelargonidin and cyanidin. The inclusion of both phenolic and colorimetric information in the Linear Discriminant Analysis allowed reaching very good discriminations among cultivars. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Fernandez-Lara, Rebeca; Davila-Ortiz, Gloria] Inst Politecn Nacl, Escuela Nacl Ciencias Biol, Mexico City 11340, DF, Mexico.
   [Gordillo, Belen; Rodriguez-Pulido, Francisco J.; Lourdes Gonzalez-Miret, M.; Heredia, Francisco J.] Univ Seville, Fac Farm, Dept Nutr & Food Sci, Food Colour & Qual Lab, E-41012 Seville, Spain.
   [del Villar-Martinez, Alma A.] Inst Politecn Nacl, Ctr Desarrollo Prod Biot, Yautepec 62731, Mor, Mexico.
C3 Instituto Politecnico Nacional - Mexico; University of Sevilla;
   Instituto Politecnico Nacional - Mexico
RP Heredia, FJ (corresponding author), Univ Seville, Fac Farm, Dept Nutr & Food Sci, Food Colour & Qual Lab, E-41012 Seville, Spain.
EM rebe.fdz@outlook.com; bgordillo@us.es; rpulido@us.es; miret@us.es;
   adelvillarm@ipn.mx; gdavilao@yahoo.com; heredia@us.es
RI Del Villar-Martinez, Alma/HMD-9188-2023; Rodriguez-Pulido, Francisco
   J./D-8721-2013; Heredia Mira, Francisco Jose/A-4521-2009; Gordillo,
   Belen/M-8633-2014; Gonzalez-Miret, M. Lourdes/I-7991-2013
OI Rodriguez-Pulido, Francisco J./0000-0002-8230-2015; Heredia Mira,
   Francisco Jose/0000-0002-3849-8284; Gordillo, Belen/0000-0003-2986-7911;
   Gonzalez-Miret, M. Lourdes/0000-0003-0572-051X; Fernandez Lara,
   Rebeca/0000-0001-9191-7014
FU Instituto Politecnico Nacional (IPN) [472993]; Consejo Nacional de
   Ciencia y Tecnologia (SAGARPA CONACYT) [P. 2012-06-190290]; Consejeria
   de Economia, Innovacion, Ciencia y Empleo, Junta de Andalucia [P.
   P11-AGR-7843]; CONACYT; AUIP; VPPI-Universidad de Sevilla
FX This work was financially supported by the Instituto Politecnico
   Nacional (IPN) (Grant No. 472993), the Consejo Nacional de Ciencia y
   Tecnologia (SAGARPA CONACYT; P. 2012-06-190290), and the Consejeria de
   Economia, Innovacion, Ciencia y Empleo, Junta de Andalucia (P.
   P11-AGR-7843). Rebeca Fernandez Lara acknowledges a study grant from
   CONACYT, and a mobility grant from AUIP. Francisco J. Rodriguez-Pulido
   also thanks VPPI-Universidad de Sevilla for a postdoctoral grant.
   Authors are indebted to the staff of Biology Service (SGI, Universidad
   de Sevilla) for the technical assistance.
CR Aaby K, 2012, FOOD CHEM, V132, P86, DOI 10.1016/j.foodchem.2011.10.037
   [Anonymous], 2007, STATISTICA (Data Analysis Software System)
   Basu A, 2014, CRIT REV FOOD SCI, V54, P790, DOI 10.1080/10408398.2011.608174
   Bestfleisch M, 2014, PLANT BREEDING, V133, P115, DOI 10.1111/pbr.12120
   Carazzone C, 2013, FOOD CHEM, V138, P1062, DOI 10.1016/j.foodchem.2012.11.060
   Dávalos-González PA, 2014, ACTA HORTIC, V1049, P263, DOI 10.17660/ActaHortic.2014.1049.33
   Davalos-González PA, 2009, ACTA HORTIC, V842, P435
   Dávalos-González PA, 2006, ACTA HORTIC, P547, DOI 10.17660/ActaHortic.2006.708.97
   de Bruijn J, 2014, FOOD RES INT, V63, P42, DOI 10.1016/j.foodres.2014.03.029
   Diamanti J, 2014, J AGR FOOD CHEM, V62, P3944, DOI 10.1021/jf500708x
   Giampieri F, 2014, J AGR FOOD CHEM, V62, P3867, DOI 10.1021/jf405455n
   Häkkinen S, 1999, FOOD RES INT, V32, P345, DOI 10.1016/S0963-9969(99)00095-2
   Häkkinen SH, 2000, FOOD RES INT, V33, P517, DOI 10.1016/S0963-9969(00)00086-7
   Heredia FJ, 2010, FOOD CHEM, V118, P377, DOI 10.1016/j.foodchem.2009.04.132
   Hernanz D, 2008, J AGR FOOD CHEM, V56, P2735, DOI 10.1021/jf073389j
   Hernanz D, 2007, J AGR FOOD CHEM, V55, P1846, DOI 10.1021/jf063189s
   Holzwarth M, 2012, FOOD RES INT, V48, P241, DOI 10.1016/j.foodres.2012.04.004
   Hutchings John., 2002, COLOUR IN FOOD, P352
   Kovacevic DB, 2015, FOOD CHEM, V181, P94, DOI 10.1016/j.foodchem.2015.02.063
   Landete JM, 2011, FOOD RES INT, V44, P1150, DOI 10.1016/j.foodres.2011.04.027
   da Silva FL, 2007, LWT-FOOD SCI TECHNOL, V40, P374, DOI 10.1016/j.lwt.2005.09.018
   Martínez JA, 2001, FOOD SCI TECHNOL INT, V7, P439, DOI 10.1106/VFAT-5REN-1WK2-5JGQ
   Martínez-Bolaños M., 2008, Rev. Chapingo Ser.Hortic, V14, P113
   Narro-Sánchez J, 2006, ACTA HORTIC, P167, DOI 10.17660/ActaHortic.2006.708.27
   Pérez-Jiménez J, 2010, EUR J CLIN NUTR, V64, pS112, DOI 10.1038/ejcn.2010.221
   Prasath GS, 2014, J BIOCHEM MOL TOXIC, V28, P442, DOI 10.1002/jbt.21583
   Qin YH, 2008, BIOTECHNOL ADV, V26, P219, DOI 10.1016/j.biotechadv.2007.12.004
   Rodríguez-Pulido FJ, 2013, COMPUT ELECTRON AGR, V99, P108, DOI 10.1016/j.compag.2013.08.027
   Sun J, 2002, J AGR FOOD CHEM, V50, P7449, DOI 10.1021/jf0207530
   Sun JH, 2014, FOOD CHEM, V146, P289, DOI 10.1016/j.foodchem.2013.08.089
NR 30
TC 38
Z9 41
U1 0
U2 58
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0963-9969
EI 1873-7145
J9 FOOD RES INT
JI Food Res. Int.
PD OCT
PY 2015
VL 76
BP 645
EP 653
DI 10.1016/j.foodres.2015.07.038
PN 3
PG 9
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA CS2TI
UT WOS:000361924500040
PM 28455048
DA 2025-01-10
ER

PT J
AU Morrison, SA
   Sillett, TS
   Ghalambor, CK
   Fitzpatrick, JW
   Graber, DM
   Bakker, VJ
   Bowman, R
   Collins, CT
   Collins, PW
   Delaney, KS
   Doak, DF
   Koenig, WD
   Laughrin, L
   Lieberman, AA
   Marzluff, JM
   Reynolds, MD
   Scott, JM
   Stallcup, JA
   Vickers, W
   Boyce, WM
AF Morrison, Scott A.
   Sillett, T. Scott
   Ghalambor, Cameron K.
   Fitzpatrick, John W.
   Graber, David M.
   Bakker, Victoria J.
   Bowman, Reed
   Collins, Charles T.
   Collins, Paul W.
   Delaney, Kathleen Semple
   Doak, Daniel F.
   Koenig, Walter D.
   Laughrin, Lyndal
   Lieberman, Alan A.
   Marzluff, John M.
   Reynolds, Mark D.
   Scott, J. Michael
   Stallcup, Jerre Ann
   Vickers, Winston
   Boyce, Walter M.
TI Proactive Conservation Management of an Island-endemic Bird Species in
   the Face of Global Change
SO BIOSCIENCE
LA English
DT Article
DE Aphelocoma insularis; climate adaptation; conservation-reliant species;
   ecosystem engineer; translocation
ID WEST-NILE-VIRUS; APHELOCOMA-INSULARIS; CLIMATE-CHANGE; SCRUB-JAYS;
   CALIFORNIA; COASTAL; SEED
AB Biodiversity conservation in an era of global change and scarce funding benefits from approaches that simultaneously solve multiple problems. Here, we discuss conservation management of the island scrub-jay (Aphelocoma insularis), the only island-endemic passerine species in the continental United States, which is currently restricted to 250-square-kilometer Santa Cruz Island, California. Although the species is not listed as threatened by state or federal agencies, its viability is nonetheless threatened on multiple fronts. We discuss management actions that could reduce extinction risk, including vaccination, captive propagation, biosecurity measures, and establishing a second free-living population on a neighboring island. Establishing a second population on Santa Rosa Island may have the added benefit of accelerating the restoration and enhancing the resilience of that island's currently highly degraded ecosystem. The proactive management framework for island scrub-jays presented here illustrates how strategies for species protection, ecosystem restoration, and adaptation to and mitigation of climate change can converge into an integrated solution.
C1 [Morrison, Scott A.] Nature Conservancy, San Francisco, CA USA.
   [Sillett, T. Scott] Smithsonian Conservat Biol Inst, Washington, DC USA.
   [Ghalambor, Cameron K.] Colorado State Univ, Dept Biol, Ft Collins, CO 80523 USA.
   [Fitzpatrick, John W.; Koenig, Walter D.] Cornell Univ, Cornell Lab Ornithol, Ithaca, NY USA.
   [Fitzpatrick, John W.] Cornell Univ, Dept Ecol & Evolutionary Biol, Ithaca, NY USA.
   [Graber, David M.] Natl Pk Serv, Oakland, CA USA.
   [Bakker, Victoria J.] James Madison Univ, Harrisonburg, VA 22807 USA.
   [Bowman, Reed] Archbold Biol Stn, Venus, FL USA.
   [Collins, Charles T.] Calif State Univ Long Beach, Dept Biol Sci, Long Beach, CA 90840 USA.
   [Collins, Paul W.] Santa Barbara Museum Nat Hist, Santa Barbara, CA USA.
   [Delaney, Kathleen Semple] Univ Calif Los Angeles, Los Angeles, CA USA.
   [Doak, Daniel F.] Univ Wyoming, Dept Zool & Physiol, Laramie, WY 82071 USA.
   [Doak, Daniel F.] Univ Wyoming, Program Ecol, Laramie, WY 82071 USA.
   [Koenig, Walter D.] Cornell Univ, Dept Neurobiol & Behav, Ithaca, NY 14853 USA.
   [Laughrin, Lyndal] Univ Calif Santa Barbara, Univ Calif Nat Reserve Syst Santa Cruz Isl Reserv, Santa Barbara, CA 93106 USA.
   [Lieberman, Alan A.] San Diego Zoo Inst Conservat Res, Escondido, CA USA.
   [Marzluff, John M.] Univ Washington, Seattle, WA 98195 USA.
   [Reynolds, Mark D.] Nat Conservancys Calif Chapter, San Francisco, CA USA.
   [Reynolds, Mark D.] San Francisco State Univ, San Francisco, CA USA.
   [Scott, J. Michael] Univ Idaho, Moscow, ID 83843 USA.
   [Stallcup, Jerre Ann] Conservat Biol Inst, Corvallis, OR USA.
   [Vickers, Winston; Boyce, Walter M.] Univ Calif Davis, Wildlife Hlth Ctr, Sch Vet Med, Davis, CA 95616 USA.
C3 Nature Conservancy; Smithsonian Institution; Smithsonian National
   Zoological Park & Conservation Biology Institute; Colorado State
   University; Cornell University; Cornell University; United States
   Department of the Interior; James Madison University; California State
   University System; California State University Long Beach; University of
   California System; University of California Los Angeles; University of
   Wyoming; University of Wyoming; Cornell University; University of
   California System; University of California Santa Barbara; Zoological
   Society of San Diego; University of Washington; University of Washington
   Seattle; Nature Conservancy; California State University System; San
   Francisco State University; University of Idaho; University of
   California System; University of California Davis
RP Morrison, SA (corresponding author), Nature Conservancy, San Francisco, CA USA.
EM smorrison@tnc.org
RI Vickers, Winston/KIE-6626-2024; Koenig, Walter/A-5509-2009; Ghalambor,
   Cameron/V-4486-2019; Sillett, Scott/N-2240-2017
OI Ghalambor, Cameron/0000-0003-2515-4981; Marzluff,
   John/0000-0002-6266-4975; Sillett, Scott/0000-0002-7486-0076; Koenig,
   Walter/0000-0001-6207-1427
CR [Anonymous], 5 SANT BARB MUS NAT
   [Anonymous], 2010, Decline and Recovery of the Island Fox: A Case Study for Population Recovery
   Armstrong DP, 2008, TRENDS ECOL EVOL, V23, P20, DOI 10.1016/j.tree.2007.10.003
   Bataille A, 2009, P ROY SOC B-BIOL SCI, V276, P3769, DOI 10.1098/rspb.2009.0998
   *BNA, 2011, CORN LAB ORN AM ORN
   Boyce WM, 2011, VECTOR-BORNE ZOONOT, V11, P1063, DOI 10.1089/vbz.2010.0171
   Byers JE, 2006, TRENDS ECOL EVOL, V21, P493, DOI 10.1016/j.tree.2006.06.002
   Caldas F.B., 2011, IUCN RED LIST THREAT, V2011
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS21, DOI 10.1007/s10584-007-9377-6
   Chang GJJ, 2007, VACCINE, V25, P2325, DOI 10.1016/j.vaccine.2006.11.056
   CHRISTIAN JA, 2009, THESIS U WISCONSIN M
   Clark RA, 1990, 42 U CAL COOP NAT PA
   Cohen B., 2009, Proceedings of the 7th California Islands Symposium. Institute for Wildlife Studies, Arcata, P229
   Cole D.N., 2010, Beyond naturalness: Rethinking park and wilderness stewardship in an era of rapid change
   Crosbie SP, 2008, AUK, V125, P542, DOI 10.1525/auk.2008.07040
   CURRY RL, 2011, CORNELL LAB ORNITHOL
   DEGANGE AR, 1989, ECOLOGY, V70, P348, DOI 10.2307/1937539
   Delaney KS, 2005, CONSERV BIOL, V19, P523, DOI 10.1111/j.1523-1739.2005.00424.x
   Fischer DT, 2009, J BIOGEOGR, V36, P783, DOI 10.1111/j.1365-2699.2008.02025.x
   Grinnell J., 1936, Condor, V38, P80, DOI 10.2307/1363554
   Heikkila J, 2011, AGRON SUSTAIN DEV, V31, P119, DOI 10.1051/agro/2010003
   HENSHAW H. W., 1886, AUK, V3, P452
   Hougner C, 2006, ECOL ECON, V59, P364, DOI 10.1016/j.ecolecon.2005.11.007
   Johnson M, 2003, PLANT ECOL, V168, P69, DOI 10.1023/A:1024470224134
   Jones J.A., 1993, 3 CALIFORNIA ISLANDS, P97
   Kellogg E., 1994, THESIS U CALIFORNIA
   Kelsey R, 2000, BIRD CONSERV INT, V10, P137, DOI 10.1017/S0959270900000137
   LaDeau SL, 2008, BIOSCIENCE, V58, P937, DOI 10.1641/B581007
   MENDOZA LML, 2005, ISLA GUADALUPE RESTA, P115
   MILLER ALDEN H., 1951, CONDOR, V53, P117, DOI 10.2307/1364626
   Peluc SI, 2008, BEHAV ECOL, V19, P830, DOI 10.1093/beheco/arn033
   REYNOLDS M, 2010, TRADING OFF SHORT TE
   Richardson DM, 2009, P NATL ACAD SCI USA, V106, P9721, DOI 10.1073/pnas.0902327106
   Scott JM, 2005, FRONT ECOL ENVIRON, V3, P383, DOI 10.2307/3868588
   Seastedt TR, 2008, FRONT ECOL ENVIRON, V6, P547, DOI 10.1890/070046
   Shuford W.D., 2008, California Bird Species of Special Concern: A Ranked Assessment of Species, Subspecies, and Distinct Populations of Birds of Immediate Conservation Concern in California
   Smith S., 2009, Goldspotted Oak Borer Strategic Plan
   Spalding MD, 2007, BIOSCIENCE, V57, P573, DOI 10.1641/B570707
   STREATOR CP, 1892, US FISH WILDLIFE SER
   Sutherland WJ, 2010, CONSERV LETT, V3, P229, DOI 10.1111/j.1755-263X.2010.00113.x
   Thomas CD, 2011, TRENDS ECOL EVOL, V26, P216, DOI 10.1016/j.tree.2011.02.006
   U.S. Department of Defense (USDOD), 2010, THREAT END SPEC DOD
   *UCS, 1999, CONFR CLIM CHANG CAL
   VANRIPER C, 1986, ECOL MONOGR, V56, P327, DOI 10.2307/1942550
NR 44
TC 28
Z9 36
U1 2
U2 61
PU AMER INST BIOLOGICAL SCI
PI WASHINGTON
PA 1444 EYE ST, NW, STE 200, WASHINGTON, DC 20005 USA
SN 0006-3568
J9 BIOSCIENCE
JI Bioscience
PD DEC
PY 2011
VL 61
IS 12
BP 1013
EP 1021
DI 10.1525/bio.2011.61.12.11
PG 9
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA 860QC
UT WOS:000297961800011
OA hybrid
DA 2025-01-10
ER

PT J
AU Wong, PP
AF Wong, Poh Poh
TI Small island developing states
SO WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
LA English
DT Article
AB In the international climate change negotiations, the Small Island Developing States (SIDS) have emerged as a credible group through the AOSIS (Alliance of Small Island States) and have called for a global temperature rise of 1.5 degrees C above preindustrial levels. Whatever the outcomes of the negotiations, they are exacerbated by climate change and a rising sea level. Many share common characteristics of small size, high population density, limited land resources, vulnerability to natural hazards, threatened biodiversity, high dependence on tourism, and limited funds and human resources. The suggestions put forward for a research agenda for the SIDS include a comprehensive assessment of the SIDS as a group, a focused attention on oceans, increased development on renewable energy, inclusion of climate adaptation under natural disaster reduction, a strategy of 'save some islands rather than not to have any' for some SIDS, and large-scale modular mangrove planting for coastal protection and adaptation to sea-level rise. These suggestions could provide an expanded scope of adaptation for the SIDS. (c) 2010 John Wiley & Sons, Ltd. WIREs Clim Change 2011 2 1-6 DOI: 10.1002/wcc.84
C1 Natl Univ Singapore, Dept Geog, Singapore 117570, Singapore.
C3 National University of Singapore
RP Wong, PP (corresponding author), Natl Univ Singapore, Dept Geog, 1 Arts Link, Singapore 117570, Singapore.
EM wong3921@gmail.com
CR [Anonymous], 2005, TSUN HUM RIGHTS VULN
   [Anonymous], 2005, ECOSYSTEMS HUMAN WEL
   [Anonymous], 2008, CLIM CHANG CAR CHALL
   [Anonymous], 2 S OC HIGH CO2 WORL
   *AOSIS, 2007, 14 AOSIS
   BETTENTCOURT S, 2006, NOT ADAPTING NATURAL
   *CICERO UNEP GRID, 2008, PROJ DES OUTL DYN AS
   DEGUSMAO D, 2009, 4 DEGR IMPL GLOB CLI
   *GOV FED STAT MICR, 2007, STAT A YAT DIR OFF E
   Hartmann B, 2010, J INT DEV, V22, P233, DOI 10.1002/jid.1676
   Kelman I., 2009, ECOL ENVIRON ANTHROP, V5
   Kelman I, 2008, DISASTER ADV, V1, P40
   Lewis J, 2009, SHIMA, V3, P3
   Mann ME, 2009, P NATL ACAD SCI USA, V106, P4065, DOI 10.1073/pnas.0901303106
   Mimura N, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P687
   Nunn PD, 2007, HUM ECOL, V35, P385, DOI 10.1007/s10745-006-9090-5
   Nurse L, 2007, NAT RESOUR FORUM, V31, P102, DOI 10.1111/j.1477-8947.2007.00143.x
   Nurse LA, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P843
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   Roper Tom., 2005, Review of European Community and International Environmental Law, V14, P108, DOI [DOI 10.1111/J.1467-9388.2005.00431.X, DOI 10.1111/j.1467-9388.2005.00431.x]
   SEM G, 2005, VULNERABILITY ADAPTA
   Smith JB, 2009, P NATL ACAD SCI USA, V106, P4133, DOI 10.1073/pnas.0812355106
   *UN, 2007, IMP CLIM CHANG LEAST
   *US FISH, US FISH WILDL SERV C
   Webb AP, 2010, GLOBAL PLANET CHANGE, V72, P234, DOI 10.1016/j.gloplacha.2010.05.003
   Wong PP, 2009, OCEAN COAST MANAGE, V52, P405, DOI 10.1016/j.ocecoaman.2009.04.013
   WONG PP, 2009, COASTAL ZONE M UNPUB
   OTEC OCEAN THERMAL E
NR 28
TC 38
Z9 46
U1 1
U2 70
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1757-7780
EI 1757-7799
J9 WIRES CLIM CHANGE
JI Wiley Interdiscip. Rev.-Clim. Chang.
PD JAN-FEB
PY 2011
VL 2
IS 1
BP 1
EP 6
DI 10.1002/wcc.84
PG 6
WC Environmental Studies; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 778WG
UT WOS:000291739500001
OA Bronze
DA 2025-01-10
ER

PT J
AU Durgac, C
   Polat, A
   Kamiloglu, O
AF Durgac, C.
   Polat, A.
   Kamiloglu, O.
TI Determining performances of some loquat (<i>Eriobotrya japonica</i>)
   cultivars under Mediterranean coastal conditions in Hatay, Turkey
SO NEW ZEALAND JOURNAL OF CROP AND HORTICULTURAL SCIENCE
LA English
DT Article
DE Eriobotrya japonica; loquat; growth; phenology; pomology
AB The growth performances, phenological and pomological characteristics of four loquat (Eriobotrya japonica) cultivars, 'Kanro', 'Baffico', 'Dr. Trabut', and 'Gold Nugget', were studied between 1996 and 2000 in the Mediterranean climate in Kirikhan, Hatay, Turkey. Among the loquat cultivars tested, the biggest trunk diameter and annual shoot growths were measured in 'Kanto' whereas 'Baffico' was found to be the earliest, and 'Kanro' to be the latest ripening cultivar. The largest fruit size was obtained from 'Dr. Trabut', whereas the smallest fruit size from 'Baffico'. 'Dr. Trabut' had the highest seed number and seed weight, and the lowest value of the flesh/seed ratio was calculated in this cultivar. The ratio of flesh to seed was highest in 'Kanro'. The highest total soluble solids (TSS) content was observed in 'Baffico' (11.77%), whereas the lowest TSS was recorded in 'Kanto' (9.09%). The results suggest that these cultivars can be successfully grown in a Mediterranean climate. Adaptation of the cultivars to the region is also most likely to increase the production and quality of loquat.
C1 Univ Mustafa Kemal, Fac Agr, Dept Hort, Antakya, Turkey.
C3 Mustafa Kemal University
RP Durgac, C (corresponding author), Univ Mustafa Kemal, Fac Agr, Dept Hort, Antakya, Turkey.
EM cdurgac@mku.edu.tr
RI Durgac, Coskun/B-2768-2009
OI DURGAC, COSKUN/0000-0001-5724-678X
CR [Anonymous], 2002, OPTIONS MEDITERR
   Demir S., 1989, THESIS U CUKUROVA AD
   DEMIR S, 1987, CITRUS RES I TECHNIQ, V6
   ERDOGLU H, 1987, THESIS U CUKUROVA AD
   Insero O., 2003, OPTIONS MEDITERRAN A, V58, P67
   KARACALI I, 1990, STORING HORTICULTURA
   Karadeniz T., 2003, OPTIONS MEDITERRAN A, V58, P27
   LAURE R, 1976, LOQUAT
   Lin Shun-quan, 1999, Horticultural Reviews, V23, P233, DOI 10.1002/9780470650752.ch5
   Llacer G., 2003, OPTIONS MEDITERRAN A, V58, P45
   LUPESCU F, 1980, FRUITS, V35, P251
   Nakajo M, 1990, Ann Nucl Med, V4, P1
   PAYDAS S, 1992, 1 TURK NAT HORT C, V1, P509
   PAYDAS S, 1991, J HORTICULTURE FACUL, V6, P17
   Peng JianPing Peng JianPing, 2002, South China Fruits, V31, P27
   TEEL R, 1980, PRINCIPLES PROCEDURE
   WINXIANG X, 1998, S CHINA FRUITS, V27, P32
   YALCIN H, 1995, 2 TURK NAT HORT C, V1, P648
   YIJIE Z, 2001, S CHINA FRUITS, V30, P29
   Yilmaz H., 1995, 2 TURK NAT HORT C, V1, P638
NR 20
TC 21
Z9 23
U1 0
U2 8
PU RSNZ PUBLISHING
PI WELLINGTON
PA PO BOX  598, WELLINGTON, 00000, NEW ZEALAND
SN 0114-0671
J9 NEW ZEAL J CROP HORT
JI N. Z. J. Crop Hortic. Sci.
PD SEP
PY 2006
VL 34
IS 3
BP 225
EP 230
DI 10.1080/01140671.2006.9514411
PG 6
WC Agronomy; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 094KH
UT WOS:000241237800005
DA 2025-01-10
ER

PT J
AU Nyadzi, E
   Werners, SE
   Biesbroek, R
   Ludwig, F
AF Nyadzi, Emmanuel
   Werners, Saskia E.
   Biesbroek, Robbert
   Ludwig, Fulco
TI Techniques and skills of indigenous weather and seasonal climate
   forecast in Northern Ghana
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Climate services; Indigenous forecast; forecast skills; forecast
   techniques; climate change; farmers; Ghana
ID SOIL FERTILITY; KNOWLEDGE; INFORMATION; RAINFALL; FARMERS; VARIABILITY;
   PERCEPTIONS; DYNAMICS; AFRICA; TRENDS
AB There are strong calls to integrate scientific and indigenous forecasts to help farmers adapt to climate variability and change. Some studies used qualitative approaches to investigate indigenous people's techniques for forecasting weather and seasonal climate. In this study, we demonstrate how to quantitatively collect indigenous forecast and connect this to scientific forecasts. We identified and characterized the main indigenous ecological indicators (IEIs) local farmers in Northern Ghana use for forecasting. Mental model was constructed to establish the relationship between IEIs and their forecasts. Local farmers were trained to send their rainfall forecast with mobile apps and record observed rainfall with rain gauges. Results show that farmers forecast techniques are based on established cognitive relationship between IEIs and forecast events. Skill assessment shows that on the average both farmers and Ghana Meteorological Agency (GMet) were able to accurately forecast one out of every three daily rainfall events. Performance at the seasonal scale showed that unlike farmers, GMet was unable to predict rainfall cessation in all communities. We conclude that it is possible to determine the techniques and skills of indigenous forecasts in quantitative terms and that indigenous forecasts are not just intuitive but a skill developed over time and with practice.
C1 [Nyadzi, Emmanuel; Werners, Saskia E.; Ludwig, Fulco] Wageningen Univ, Water Syst & Global Change Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
   [Nyadzi, Emmanuel] MDF West Africa, East Legon, Ghana.
   [Biesbroek, Robbert] Wageningen Univ, Publ Adm & Policy Grp, Wageningen, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research
RP Nyadzi, E (corresponding author), Wageningen Univ, Water Syst & Global Change Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
EM emmanuel.nyadzi@wur.nl
RI Biesbroek, Robbert/GZZ-4476-2022; Ludwig, Fulco/N-7732-2013; Biesbroek,
   Robbert/I-2384-2013
OI werners, saskia/0000-0002-1705-4318; LUDWIG, FULCO/0000-0001-6479-9657;
   Biesbroek, Robbert/0000-0002-2906-1419
FU MDF West Africa; Wageningen University Fund
FX This work was supported by MDF West Africa; Wageningen University Fund.
CR Alemaw BF, 2020, SUSTAIN DEV GOAL SER, P71, DOI 10.1007/978-3-030-31543-6_7
   Asante FA, 2015, CLIMATE, V3, P78, DOI 10.3390/cli3010078
   Balehegn M, 2019, PASTORALISM, V9, DOI 10.1186/s13570-019-0143-y
   Berkes F, 2000, ECOL APPL, V10, P1251, DOI 10.2307/2641280
   Bumke K, 2012, TELLUS A, V64, DOI 10.3402/tellusa.v64i0.18486
   Cabrera VE, 2006, CLIMATIC CHANGE, V78, P479, DOI 10.1007/s10584-006-9053-2
   Caswell Hal, 2001, pi
   Chang'a L. B., 2010, J GEOGRAPHY REGIONAL, V3
   David W, 2014, FUTURE FOOD, V2, P52
   Desbiez A, 2004, AGR ECOSYST ENVIRON, V103, P191, DOI 10.1016/j.agee.2003.10.003
   Ebhuoma EE, 2019, CLIM DEV, V11, P112, DOI 10.1080/17565529.2017.1374239
   Elia EF, 2014, S AFR J LIBR INF, V80, P18, DOI 10.7553/80-1-180
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Fekri M, 2016, MON WEATHER REV, V144, P1633, DOI 10.1175/MWR-D-15-0225.1
   Frumkin H, 2008, AM J PUBLIC HEALTH, V98, P435, DOI 10.2105/AJPH.2007.119362
   Gbetibouo G., 2017, Impact assessment on climate information services for community-based adaptation to climate change
   Gebrechorkos SH, 2020, GLOBAL PLANET CHANGE, V186, DOI 10.1016/j.gloplacha.2020.103130
   Glykas M, 2010, STUD FUZZ SOFT COMP, V247, P1, DOI 10.1007/978-3-642-03220-2
   GMet, 2017, RAINF SEAS FOR 2017
   Gray LC, 2003, GEODERMA, V111, P425, DOI 10.1016/S0016-7061(02)00275-6
   Gray SA, 2013, P ANN HICSS, P965, DOI 10.1109/HICSS.2013.399
   Gubler S, 2020, WEATHER FORECAST, V35, P561, DOI 10.1175/WAF-D-19-0106.1
   Gumucio T, 2020, CLIM DEV, V12, P241, DOI 10.1080/17565529.2019.1613216
   Halbrendt J, 2014, GLOBAL ENVIRON CHANG, V28, P50, DOI 10.1016/j.gloenvcha.2014.05.001
   Henly-Shepard S, 2015, ENVIRON SCI POLICY, V45, P109, DOI 10.1016/j.envsci.2014.10.004
   Hogan RJ., 2012, Forecast Verification: A Practitioner's Guide in Atmospheric Science, V2nd, P31, DOI [DOI 10.1002/9781119960003.CH3, 10.1002/9781119960003.ch3]
   Ibe G. O., 2019, Journal of Applied Sciences & Environmental Management, V23, P329, DOI 10.4314/jasem.v23i2.20
   Jalloh A., 2013, West African agriculture and climate change
   Johnson SJ, 2019, GEOSCI MODEL DEV, V12, P1087, DOI 10.5194/gmd-12-1087-2019
   Kassa B., 2011, Perspective Of Agricultural Extension. Regional Msc Program On: Agricultural Information and Communication Management (Aicm), P91
   Kranjac-Berisavljevic G., 2003, Rice Production and Livelihoods in Ghana. Multi-Agency Partnerships (Maps) For Technical Change
   Lacombe G, 2012, HYDROLOG SCI J, V57, P1594, DOI 10.1080/02626667.2012.728291
   Lawson ET, 2020, GEOJOURNAL, V85, P439, DOI 10.1007/s10708-019-09974-4
   Luseno WK, 2003, WORLD DEV, V31, P1477, DOI 10.1016/S0305-750X(03)00113-X
   Mafongoya P.L., 2017, Indigenous knowledge systems and climate change management in Africa, P17
   Maibach EW, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002838
   Makwara E., 2013, J AGR SUSTAINABILITY, V2, P98
   Manzanas R, 2014, CLIMATIC CHANGE, V124, P805, DOI 10.1007/s10584-014-1100-9
   Mapara J., 2008, The Journal of Pan African Studies, V12, P189, DOI DOI 10.9790/0837-1535964
   Mariani S., 2008, FORECAST VERIFICATIO
   Mason I.B., 2003, Verification: A Practitioner's Guide in Atmospheric Science, P37
   McCormick Sabrina., 2009, Mobilizing Science: Movements, Participation, and the Remaking of Knowledge
   Mullen M. C., 2007, USE SEASONAL FORECAS, V48
   Muller-Kuckelberg K., 2012, CLIMATE CHANGE ITS I
   Ndamani F., 2013, RESEARCHGATE DEC, DOI 10.13140/2.1.2343.7125
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Nyadzi E., 2016, Sustainable Agriculture Research, V5, P41, DOI 10.5539/sar.v5n2p41
   Nyadzi E, 2018, NJAS-WAGEN J LIFE SC, V86-87, P51, DOI 10.1016/j.njas.2018.07.002
   Nyadzi E, 2019, WEATHER CLIM SOC, V11, P127, DOI 10.1175/WCAS-D-17-0137.1
   Nyaki A, 2014, CONSERV BIOL, V28, P1403, DOI 10.1111/cobi.12316
   Offat M.I., 2015, Greener J. Educ. Res., V5, P27, DOI [DOI 10.15580/GJER.2015.2, DOI 10.15580/GJER.2015.2.012715022]
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Orlove B, 2010, CLIMATIC CHANGE, V100, P243, DOI 10.1007/s10584-009-9586-2
   Owusu K, 2009, WEATHER, V64, P115, DOI 10.1002/wea.255
   Özesmi U, 2004, ECOL MODEL, V176, P43, DOI 10.1016/j.ecolmodel.2003.10.027
   POPOV D, 1986, BULG HIST REV-REV B, P73
   Proceedings of the 4th annual Symposium on Computing for development, 2013, P 4 ANN S COMP DEV, DOI https://doi.org/10.1145/2537052.2537069
   Radeny M, 2019, CLIMATIC CHANGE, V156, P509, DOI 10.1007/s10584-019-02476-9
   Roncoli C, 2002, SOC NATUR RESOUR, V15, P409, DOI 10.1080/08941920252866774
   Roudier P, 2014, CLIM RISK MANAG, V2, P42, DOI 10.1016/j.crm.2014.02.001
   Sarr B., 2015, J AGR EXTENSION RURA, V7, DOI https://doi.org/10.5897/JAERD14.0595
   Scaife AA, 2019, INT J CLIMATOL, V39, P974, DOI 10.1002/joc.5855
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Shoko K., 2012, J SUSTAIN DEV AFRICA, V9, DOI [DOI 10.5539/ASS.V9N5P285, https://doi.org/10.5539/ass.v9n5p285]
   Stevens M, 2014, IEEE PERVAS COMPUT, V13, P20, DOI 10.1109/MPRV.2014.37
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Vervoort RW, 2016, WIRES WATER, V3, P127, DOI 10.1002/wat2.1121
   WMO, 2014, WMO-No 1132
   Yokoo Y, 2012, JOINT INT CONF SOFT, P1201, DOI 10.1109/SCIS-ISIS.2012.6505107
   ,, 2007, Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers
NR 70
TC 24
Z9 25
U1 0
U2 3
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD JUL 3
PY 2021
VL 13
IS 6
BP 551
EP 562
DI 10.1080/17565529.2020.1831429
EA NOV 2020
PG 12
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA SJ1YK
UT WOS:000590327600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Håkansson, NT
AF Hakansson, N. Thomas
TI Criticizing resilience thinking: A political ecology analysis of
   droughts in nineteenth-century East Africa
SO ECONOMIC ANTHROPOLOGY
LA English
DT Article
DE Political Ecology; East Africa; Droughts; History; Exchange; Trade
ID NORTHERN TANZANIA; CLIMATE-CHANGE; SOIL-EROSION; HISTORY; KENYA;
   VARIABILITY; ADAPTATION; SOUTHERN; DYNAMICS; SYSTEMS
AB The looming alteration in climate has spurred a veritable industry over the past two decades of overly simplistic scenario modeling and theoretical predictions of future changes brought about by global warming, some based on research on human responses to fluctuations in rainfall and temperature in the past. Scholars who stress the complexity of climate and social processes have critiqued such crude models from two different approaches: resilience thinking and political ecology. In this article, I assess the resilience framework through an analysis of the effects of droughts over a long time perspective, between circa 1800 and 1950, in two East African communities: the Kamba of Kenya and the Gogo of Tanzania. My conclusion is that political ecology theory provides a better explanation than the resilience approach. In both cases, rather than primarily adapting to climate events, the ability of communities and households to cope with droughts varied depending on how they were integrated into regional economies and the world system when those droughts occurred. The effects of droughts and long-term fluctuations in precipitation were mediated through exchange networks, the flow of currencies, and the processes of stratification in local resource control, which in turn affected land use and settlement patterns.
C1 [Hakansson, N. Thomas] Univ Kentucky, Dept Anthropol, Lexington, KY 40506 USA.
C3 University of Kentucky
RP Håkansson, NT (corresponding author), Univ Kentucky, Dept Anthropol, Lexington, KY 40506 USA.
EM hakansson@uky.edu
CR Ambler CharlesHenry., 1988, Kenyan Communities in the Age of Imperialism: The Central Region in the Late Nineteenth Century
   Anderson DM, 2016, J EAST AFR STUD, V10, P1, DOI 10.1080/17531055.2016.1150240
   [Anonymous], WAHI WANYATURU EC AF
   [Anonymous], 2014, POLITICAL ECOLOGY CL
   [Anonymous], 1987, SLAVES SPICES IVORY
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Berkhout F, 2003, NEGOTIATING ENVIRONMENTAL CHANGE, P1
   Blaikie PiersHarold Brookfield., 1987, LAND DEGRADATION SOC
   Bollig M, 2016, J EAST AFR STUD, V10, P21, DOI 10.1080/17531055.2016.1141568
   Christiansson C., 1981, Soil Erosion and Sedimentation in Semi-Arid Tanzania: Studies on Environmental Change and Ecological Imbalance
   Conte ChristopherA., 2004, Highland Sanctuary: Environmental History in Tanzania's Usambara Mountains
   Crowther A, 2015, J ARCHAEOL SCI, V53, P374, DOI 10.1016/j.jas.2014.10.008
   Cummings R. J., 1985, WORKERS AFRICAN TRAD, P193
   De Cort G, 2013, PALAEOGEOGR PALAEOCL, V388, P69, DOI 10.1016/j.palaeo.2013.07.029
   Ekblom A, 2017, WIRES WATER, V4, DOI 10.1002/wat2.1228
   Ekblom A, 2012, AMBIO, V41, P479, DOI 10.1007/s13280-012-0286-1
   Eriksen S, 2009, ENVIRON MANAGE, V43, P817, DOI 10.1007/s00267-008-9189-0
   Eriksson MG, 2000, GEOMORPHOLOGY, V36, P107, DOI 10.1016/S0169-555X(00)00054-4
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gichohi H., 1996, East African Ecosystems and Their Conservation, P273
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Håkansson NT, 2007, GEOGR ANN B, V89B, P233, DOI 10.1111/j.1468-0467.2007.00251.x
   Håkansson NT, 2004, HUM ECOL, V32, P561, DOI 10.1007/s10745-004-6097-7
   HAKANSSON NT, 1994, J ANTHROPOL RES, V50, P249, DOI 10.1086/jar.50.3.3630179
   Hakansson T.N., 2008, EC TRANSFORMATION LA, P239
   Håkansson T, 2008, INT J AFR HIST STUD, V41, P433
   Hannaford MJ, 2014, ENVIRON HIST-UK, V20, P411, DOI 10.3197/096734014X14031694156484
   Holmgren Karin, 2006, Environment Development and Sustainability, V8, P185, DOI 10.1007/s10668-005-5752-5
   Hornborg A, 2013, RESILIENCE-ABINGDON, V1, P116, DOI 10.1080/21693293.2013.797661
   Jackson K.A, 1972, THESIS U CALIFORNIA
   Jackson Kennell A., 1976, KENYA BEFORE 1900, P174
   Jackson Kennell A., 1977, Kenya Historical Review, V5, P35
   Krapf J.L., 1860, Travels, Researchers, and Missionary Labours during an Eighteen Years Residence in East Africa, together with Journeys to Jagga, Usambara, Ukambani, Shoa, Abessinia, and Khartum; and a Coasting Voyage from Mombaz to Cape Delgado
   Lamphear John., 1970, PRECOLONIAL AFRICAN, P75
   Lane P, 2009, INT J AFR HIST STUD, V42, P457
   Lane PJ, 2015, J FIELD ARCHAEOL, V40, P485, DOI 10.1179/2042458215Y.0000000022
   Lane PJ, 2010, AFR STUD-UK, V69, P299, DOI 10.1080/00020184.2010.499203
   Leakey L.S. B., 1977, The Southern Kikuyu before 1903, V1
   Liwenga Emma T., 2003, STOCKHOLM STUDIES HU, V11
   Maddox Gregory., 1996, Custodians of the Land, P43
   Morgan W.T.W., 1973, East Africa
   Munro J.Forbes., 1975, COLONIAL RULE KAMBA
   Muriuki G., 1974, HIST KIKUYU 1500 190
   Ndichu R.W., 2009, MOST DEVASTATING FAM
   Oba Gufu., 2014, Climate Change Adaptation in Africa: An historical ecology
   Petek N, 2017, WORLD ARCHAEOL, V49, P40, DOI 10.1080/00438243.2016.1259583
   Rappaport R.A., 1968, PIGS ANCESTORS
   Rigby P., 1969, CATTLE KINSHIP GOGO
   ROCHELEAU DE, 1995, WORLD DEV, V23, P1037, DOI 10.1016/0305-750X(95)00016-6
   Ryner M, 2008, J PALEOLIMNOL, V40, P583, DOI 10.1007/s10933-007-9184-0
   Ryner MA, 2006, REV PALAEOBOT PALYNO, V140, P163, DOI 10.1016/j.revpalbo.2006.03.006
   Sissons C. J., 1984, THESIS
   Verschuren D, 2000, NATURE, V403, P410, DOI 10.1038/35000179
   Watts M., 2013, Silent Violence
   Wehlin Joakim, 2013, Ostersjons skeppssattningar. Monument och motesplatser under yngre bronsalder
   Widgreen M., 2012, Resilience and the cultural landscape: Understanding and managing change in human-shaped enviornments, P95
NR 63
TC 4
Z9 4
U1 0
U2 17
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN, NJ 07030 USA
SN 2330-4847
J9 ECON ANTHROPOL
JI Econ. Anthropol.
PD JAN
PY 2019
VL 6
IS 1
BP 7
EP 20
DI 10.1002/sea2.12127
PG 14
WC Anthropology
WE Social Science Citation Index (SSCI)
SC Anthropology
GA HG1JT
UT WOS:000454710700002
OA Bronze
DA 2025-01-10
ER

PT J
AU Zare, A
   Barbier, B
   Bologo-Traore, M
   Diarra, A
   Mahe, G
   Paturel, JE
AF Zare, Aida
   Barbier, Bruno
   Bologo-Traore, Maimouna
   Diarra, Abdoulaye
   Mahe, Gil
   Paturel, Jean-Emmanuel
TI Climate Forecast Perception and Needs in Wetlands: a Case Study in the
   Inner Niger Delta in Mali
SO WETLANDS
LA English
DT Article
DE Climate forecast; Wetlands; Climate information; Flood; Inner Niger
   Delta
ID RAIN-FED AGRICULTURE; POTENTIAL BENEFITS; BURKINA-FASO; INDUCED RISK;
   WEST-AFRICA; FUTURE; INFORMATION; FARMERS; IMPACTS; LESSONS
AB Climate prediction is often presented as an efficient strategy for African farmers living in wetlands to better adapt to climate variability. This study focuses on the demand for climate information among water users of the Inner Niger Delta, which are the rice farmers, herders and fishermen. In the Delta, productions are closely associated with the complex fluvial-rain system. Users need information about both the coming rainy season and the floods which are conditioned by upstream basins rainfall. The required information includes the onset of the rainy season, the onset of the flooding of the plains, the duration of this flooding; and the probable maximum heights of the flood. Nevertheless, a good production year is conditioned by high flood, long flood for plains submersion duration and late flood compared with the start of local rainy seasons. Adjustment of practices based on climate information ranges from mobilizing effective means for field preparation and location to the seeding time for farmers. For herders, the information determines livestock entry and exit from the delta, the herd size management and sanitary treatments. For fishermen, the adjustment relates to the starting time of his activities, gear, fishing effort and the choice of the fishing location.
C1 [Zare, Aida; Bologo-Traore, Maimouna; Diarra, Abdoulaye; Paturel, Jean-Emmanuel] Inst Int Eau & Environm, LEAH, 01 BP 594, Ouagadougou 01, Burkina Faso.
   [Zare, Aida; Mahe, Gil] Inst Rech Dev, UMR HydroSci, F-34095 Montpellier 5, France.
   [Barbier, Bruno] Ctr Int Rech Agron Dev, UMR G Eau, Montpellier, France.
   [Paturel, Jean-Emmanuel] Inst Rech Dev, UMR HydroSci, 08 BP 3800, Abidjan 08, Cote Ivoire.
C3 Institut de Recherche pour le Developpement (IRD); Universite de
   Montpellier; CIRAD; AgroParisTech
RP Zare, A (corresponding author), Inst Int Eau & Environm, LEAH, 01 BP 594, Ouagadougou 01, Burkina Faso.; Zare, A (corresponding author), Inst Rech Dev, UMR HydroSci, F-34095 Montpellier 5, France.
EM malanthaz@gmail.com
RI Paturel, Jean-Emmanuel/GOE-6936-2022; Mahe, Gil/AAY-9002-2021
OI barbier, bruno/0000-0002-9196-7051; TRAORE,
   Maimouna/0000-0003-4225-5354; MAHE, Gil/0000-0002-0081-750X
FU European Union
FX This study was carried out in the framework of the AFROMAISON project
   funded by the European Union. We are grateful to all of the project
   partners, to the Inner Niger Delta stakeholders and respondents.
CR ADAMS WM, 1993, GEOGR J, V159, P209, DOI 10.2307/3451412
   [Anonymous], ETUDE MISE PLACE MOU
   [Anonymous], 1992, REC CHEPT NAT
   Bohn LE, 2000, PHYS GEOGR, V21, P57, DOI 10.1080/02723646.2000.10642699
   Bouali L, 2009, PREV PREV STAT DYNAM
   Brockhaus M, 2013, ENVIRON SCI POLICY, V25, P94, DOI 10.1016/j.envsci.2012.08.008
   Church J.A., 2013, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   Coe R, 2011, EXP AGR, V47, P395, DOI 10.1017/S001447971100010X
   Cooper PJM, 2011, EXP AGR, V47, P179, DOI 10.1017/S0014479711000019
   Crane TA, 2011, NJAS-WAGEN J LIFE SC, V57, P179, DOI 10.1016/j.njas.2010.11.002
   Drijver C.A., 1985, TAMING FLOODS ENV AS
   Falkenmark M, 2008, NAT RESOUR FORUM, V32, P93, DOI 10.1111/j.1477-8947.2008.00177.x
   FOLLAND CK, 1986, NATURE, V320, P602, DOI 10.1038/320602a0
   Gallais J., 1962, LHOMME, V2, P106
   Hansen JW, 2006, CLIM RES, V33, P27, DOI 10.3354/cr033027
   Hansen JW, 2011, EXP AGR, V47, P205, DOI 10.1017/S0014479710000876
   Hansen JW, 2002, AGR SYST, V74, P309, DOI 10.1016/S0308-521X(02)00043-4
   Hulme M., 1992, International Journal of Environmental Studies, V40, P103, DOI 10.1080/00207239208710720
   Ingram KT, 2002, AGR SYST, V74, P331, DOI 10.1016/S0308-521X(02)00044-6
   INSTAT, 2015, ENQ MOD PERM AUPR ME
   Jones JW, 2000, AGR ECOSYST ENVIRON, V82, P169, DOI 10.1016/S0167-8809(00)00225-5
   Kirshen PH, 2000, NATURAL RESOURCES FO, P185
   Lehner B, 2004, J HYDROL, V296, P1, DOI 10.1016/j.jhydrol.2004.03.028
   Mahé G, 2009, HYDROL PROCESS, V23, P3157, DOI 10.1002/hyp.7389
   Marteau R, 2011, AGR FOREST METEOROL, V151, P1356, DOI 10.1016/j.agrformet.2011.05.018
   Meza FJ, 2008, J APPL METEOROL CLIM, V47, P1269, DOI 10.1175/2007JAMC1540.1
   Niare Tiema, 2000, Cahiers Agricultures, V9, P173
   Orlove BS, 2004, B AM METEOROL SOC, V85, P1735, DOI 10.1175/BAMS-85-11-1735
   Oyekale AS, 2015, ENV EC, V6
   Roncoli C., 2003, Weather, Climate Culture, P181
   Roncoli C, 2009, CLIMATIC CHANGE, V92, P433, DOI 10.1007/s10584-008-9445-6
   Roncoli Carla., 2009, Anthropology and Climate Change: From Encounters to Actions, P87
   Roudier P, 2014, CLIM RISK MANAG, V2, P42, DOI 10.1016/j.crm.2014.02.001
   Roudier P, 2011, GLOBAL ENVIRON CHANG, V21, P1073, DOI 10.1016/j.gloenvcha.2011.04.007
   Staatz J, 2011, EVALUATION, V2011
   Stringer LC, 2009, ENVIRON SCI POLICY, V12, P748, DOI 10.1016/j.envsci.2009.04.002
   Sultan B, 2005, AGR FOREST METEOROL, V128, P93, DOI 10.1016/j.agrformet.2004.08.005
   Sultan Benjamin, 2008, Secheresse (Montrouge), V19, P29, DOI 10.1684/sec.2008.0122
   Sultan Benjamin, 2005, Secheresse (Montrouge), V16, P23
   UNDP, 2015, HUM DEV REP OV 2015
   USAID, 2004, ASS MAL DIR NAT MET
   Vogel C., 2000, South African Geographical Journal, V82, P107, DOI [DOI 10.1080/03736245.2000.9713700, 10.1080/03736245.2000.9713700]
   Vogel C, 2006, CLIM RES, V33, P111, DOI 10.3354/cr033111
   Ziervogel G, 2010, ADAPT AFRICA LEARN P
   Ziervogel G., 2004, GEOGRAPHICAL J
   Zwarts L., 2010, 1528 AW EC CONS FEAN
   Zwarts L., 2009, 1254 AW EC CONS
NR 47
TC 6
Z9 6
U1 0
U2 23
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0277-5212
EI 1943-6246
J9 WETLANDS
JI Wetlands
PD OCT
PY 2017
VL 37
IS 5
BP 913
EP 923
DI 10.1007/s13157-017-0926-0
PG 11
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA FJ3TT
UT WOS:000412655600010
DA 2025-01-10
ER

PT J
AU Milman, A
   Warner, BP
AF Milman, Anita
   Warner, Benjamin P.
TI The interfaces of public and private adaptation: Lessons from flooding
   in the Deerfield River Watershed
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Public adaptation; Private adaptation; Climate; Risk; Flooding; Property
   rights; Governance
ID COMMUNITY RATING SYSTEM; CLIMATE-CHANGE; MITIGATION; RISK; GOVERNANCE;
   BEHAVIOR; HAZARDS; PEOPLE
AB Successful adaptation to climate risks will depend on the outcomes of many coordinated and uncoordinated actions. Key will be ensuring public and private adaptations undertaken at a variety of scales do not undermine one another. To improve understandings of how adaptive responses accumulate, we investigate interactions between public and private efforts to mitigate flood hazards in the Deerfield River Watershed, located in Western Massachusetts, USA. Through interviews, we uncover the manner in which private adaptations, undertaken by landowners seeking to protect their land from flood impacts, are both determined in response to and have an effect on public adaptations seeking to address flood impacts across the watershed. Landowners respond to public adaptations based on their perceptions of the appropriateness of adaptive pathways including how they view the effectiveness of adaptive action and how the actions fit with the social contract. As a result, the interface between public and private adaptations takes various forms: commutable, attenuating, synergistic, or countervailing. Our findings underscore how, in areas with high geo-physical connectivity and where responsibility. is dispersed across private and public entities, anticipating and responding to multiple interfaces between public and private adaptations is needed for public adaptations to achieve the best cumulative outcomes. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Milman, Anita] Univ Massachusetts, Dept Environm Conservat, Amherst, MA 01003 USA.
   [Warner, Benjamin P.] Univ Massachusetts, Dept Geosci, Amherst, MA 01003 USA.
C3 University of Massachusetts System; University of Massachusetts Amherst;
   University of Massachusetts System; University of Massachusetts Amherst
RP Milman, A (corresponding author), Univ Massachusetts, Dept Environm Conservat, Amherst, MA 01003 USA.
EM amilman@eco.umass.edu; bpwarner@umass.edu
OI Milman, Anita/0000-0002-5712-9388
FU US National Institute for Food and Agriculture; U.S. Department of
   Agriculture; University of Massachusetts Center for Agriculture, Food
   Environment; Department of Environmental Conservation [MAS00023]
FX We would like to thank the many individuals who agreed to be interviewed
   as part of this research and Julianne Sullivan for her assistance in
   data management. We would also like to thank Anne Short, Eve Vogel, and
   three anonymous reviewers for their valuable feedback. This research was
   supported by the US National Institute for Food and Agriculture, U.S.
   Department of Agriculture, University of Massachusetts Center for
   Agriculture, Food & Environment, and the Department of Environmental
   Conservation under project #MAS00023.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2013, NAT CLIM CHANGE, V3, P330, DOI [10.1038/nclimate1751, 10.1038/NCLIMATE1751]
   Agarwal A, 2000, INTEGRATED WATER RES, DOI [10.2166/wst.2010.262., DOI 10.2166/WST.2010.262]
   [Anonymous], 2008, EC CLIMATE CHANGE ST
   Berke P, 2012, NAT HAZARDS REV, V13, P139, DOI 10.1061/(ASCE)NH.1527-6996.0000063
   Berke PR, 2014, J PLAN EDUC RES, V34, P60, DOI 10.1177/0739456X13517004
   Bichard E, 2012, CLIMATIC CHANGE, V112, P633, DOI 10.1007/s10584-011-0257-8
   Box P, 2013, WATER-SUI, V5, P1580, DOI 10.3390/w5041580
   Bravard JP, 1999, INCISED RIVER CHANNELS: PROCESSES, FORMS, ENGINEERING, AND MANAGEMENT, P303
   Brody SD, 2010, NAT HAZARDS, V52, P167, DOI 10.1007/s11069-009-9364-5
   Brody SD, 2009, RISK ANAL, V29, P912, DOI 10.1111/j.1539-6924.2009.01210.x
   Bubeck P., 2013, GLOBAL ENV CHANGE, DOI 10.1016/j.gloenvcha.2013.05.009.
   Chamlee-Wright E, 2010, PUBLIC CHOICE, V144, P253, DOI 10.1007/s11127-009-9516-x
   Di Baldassarre G, 2013, HYDROL EARTH SYST SC, V17, P3235, DOI 10.5194/hess-17-3235-2013
   Downton M. W., 2005, Natural Hazards Review, V6, P13, DOI 10.1061/(ASCE)1527-6988(2005)6:1(13)
   Eakin H, 2011, ENVIRON MANAGE, V47, P338, DOI 10.1007/s00267-010-9605-0
   Eakin HC, 2011, WIRES CLIM CHANGE, V2, P141, DOI 10.1002/wcc.100
   Emery SB, 2014, HYDROL PROCESS, V28, P4984, DOI 10.1002/hyp.10258
   EOEA, 2004, DEERF RIV WAT ASS RE
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Frazier TG, 2013, APPL GEOGR, V40, P52, DOI 10.1016/j.apgeog.2013.01.008
   FRCOG, 2013, FRANKL COUNT REG PLA
   Fung A, 2003, J POLIT PHILOS, V11, P338, DOI 10.1111/1467-9760.00181
   Gregory KJ, 2006, GEOMORPHOLOGY, V79, P172, DOI 10.1016/j.geomorph.2006.06.018
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Haas J., 1977, Reconstruction Following Disaster, P1
   Highfield WE, 2013, RISK ANAL, V33, P186, DOI 10.1111/j.1539-6924.2012.01840.x
   Kiss T, 2008, GEOMORPHOLOGY, V98, P96, DOI 10.1016/j.geomorph.2007.02.027
   Kondolf GM, 1997, ENVIRON MANAGE, V21, P533, DOI 10.1007/s002679900048
   Landry CE, 2012, NAT HAZARDS REV, V13, P205, DOI 10.1061/(ASCE)NH.1527-6996.0000073
   Liao KH, 2014, NAT HAZARDS, V71, P723, DOI 10.1007/s11069-013-0923-4
   Lo AY, 2013, GLOBAL ENVIRON CHANG, V23, P1249, DOI 10.1016/j.gloenvcha.2013.07.019
   Michel-Kerjan E, 2012, RISK ANAL, V32, P644, DOI 10.1111/j.1539-6924.2011.01671.x
   Molle F, 2009, WATER INT, V34, P62, DOI 10.1080/02508060802677846
   Noble IR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P833
   Obama Barack, 2015, Executive Order-Using Behavioral Science Insights to Better Serve the American People, Media Release
   Palmer L., 2010, SCI AM, V1-2, P1
   Parrott A, 2009, J FLOOD RISK MANAG, V2, P272, DOI 10.1111/j.1753-318X.2009.01044.x
   Penner JE, 1996, UCLA LAW REV, V43, P711
   Raschky P.A., 2007, Environ. Hazards, V7, P321
   Raymond CM, 2013, GLOBAL ENVIRON CHANG, V23, P103, DOI 10.1016/j.gloenvcha.2012.11.004
   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
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Smith B, 2014, WIRES WATER, V1, P249, DOI 10.1002/wat2.1021
   Stevens M, 2010, J PLAN LIT, V24, P362, DOI 10.1177/0885412210375821
   Stevens MR, 2014, NAT HAZARDS REV, V15, P74, DOI 10.1061/(ASCE)NH.1527-6996.0000116
   Strauss A, 1990, BASICS QUALITATIVE R, P1
   Terpstra T, 2008, INT J WATER RESOUR D, V24, P555, DOI 10.1080/07900620801923385
   THAMPAPILLAI DJ, 1985, WATER RESOUR RES, V21, P411, DOI 10.1029/WR021i004p00411
   Tompkins EL, 2012, GLOBAL ENVIRON CHANG, V22, P3, DOI 10.1016/j.gloenvcha.2011.09.010
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Victor DG, 2015, NATURE, V520, P27, DOI 10.1038/520027a
   Willis KF, 2011, HOUSING STUD, V26, P225, DOI 10.1080/02673037.2011.549215
NR 56
TC 29
Z9 33
U1 1
U2 34
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD JAN
PY 2016
VL 36
BP 46
EP 55
DI 10.1016/j.gloenvcha.2015.11.007
PG 10
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA DE9XB
UT WOS:000370992100005
DA 2025-01-10
ER

PT J
AU Tonello, LP
   Tavares, TCD
   Rocha, RD
   dos Santos, GR
   de Sousa, SA
   Fidelis, RR
AF Tonello, Leila Paula
   de Oliveira Tavares, Taynar Coelho
   Rocha, Ricardo de Oliveira
   dos Santos, Gil Rodrigues
   de Sousa, Sergio Alves
   Fidelis, Rodrigo Ribeiro
TI Agronomic performance of upland rice cultivars in the southern region of
   the state of Tocantins
SO SEMINA-CIENCIAS AGRARIAS
LA English
DT Article
DE Cerrado; Food safety; Oryza sativa
ID GENOTYPES; YIELD
AB Behavioural assessment of cultivars adapted to climate and soil variations is essential for recommending genetic materials to producers, achieving higher profitability, and, mainly, targeting regional growth. The aim of this study was to evaluate the agronomic performance of upland rice cultivars in different cropping periods and Cerrado vegetation soil in the southern region of the state of Tocantins. The experiments were conducted in a field at the Chaparral Farm and at the Experimental Station of the Federal University of Tocantins in the agricultural years of 2008/2009, 2009/2010, 2010/2011, 2011/2012, and 2012/2013 with cultivars BRS-Bonanca, BRS-Primavera, and BRSMG-Conai. A randomized block experimental design was used with four replications in a factorial scheme of 3 x 5, comprising three genotypes and five years. The evaluated characteristics were as follows: number of days to flowering, plant height, weight of hundred grains, and grain yield. The highest upland rice yield was observed in the cropping period of 2012/13, which also had the highest volume and better distribution of rainfall; flowering time was lesser and greater for BRSMG-Conai and BRS-Bonanca cultivars, respectively. The BRS-Primavera cultivar showed the highest grain yield in different years in Cerrado soil in the southern region of the state of Tocantins.
C1 [Tonello, Leila Paula] Univ Fed Tocantins, UFT, Prod Vegetal, Gurupi, TO, Brazil.
   [de Oliveira Tavares, Taynar Coelho] UFT, PNPD, Gurupi, TO, Brazil.
   [Rocha, Ricardo de Oliveira] UFT, Curso Grad Agron, Gurupi, TO, Brazil.
   [dos Santos, Gil Rodrigues; Fidelis, Rodrigo Ribeiro] UFT, Gurupi, TO, Brazil.
   [de Sousa, Sergio Alves] UFT, Curso Doutorado Programa Posgrad Prod Vegetal, Gurupi, TO, Brazil.
C3 Universidade Federal do Tocantins (UFT)
RP Fidelis, RR (corresponding author), UFT, Gurupi, TO, Brazil.
EM lptonello@gmaill.com; taynarcoelho@hotmail.com;
   eng.agricola.ricardo@gmail.com; gilrsan@uft.edu.br;
   sergioalves_sousa@hotmail.com; fidelisrr@uft.edu.br
RI Santos, Gil/G-3274-2012
OI SANTOS, GIL/0000-0002-3830-9463; , Rodrigo Ribeiro
   Fidelis/0000-0002-7306-2662
CR [Anonymous], 1948, CLIMATOLOGIA
   [Anonymous], 2013, Sistema brasileiro de classificacao de solos, V3 rev
   [Anonymous], 2013, Fisiologia Vegetal
   [Anonymous], REV VERDE FORTALEZA
   Arf O, 2001, PESQUI AGROPECU BRAS, V36, P871, DOI 10.1590/S0100-204X2001000600004
   Cancellier E. L., 2011, Revista Brasileira de Ciencias Agrarias (Agraria), V6, P650
   CARGNIN A., 2008, REV BRASILEIRA AGROC, V14, P49
   CONAB-Companhia Nacional de Abastecimento, 2015, ACOMP SAFR BRAS GRAO
   Costa NHDD, 2002, PESQUI AGROPECU BRAS, V37, P243, DOI 10.1590/S0100-204X2002000300003
   Crusciol Carlos Alexandre Costa, 2003, Bragantia, V62, P465, DOI 10.1590/S0006-87052003000300013
   Crusciol C. A. C., 2003, Agronomia, V37, P10
   Crusciol C. A. C., 2001, Revista Brasileira de Sementes, V23, P287
   da Silva EA, 2009, CIENC AGROTEC, V33, P298, DOI 10.1590/S1413-70542009000100041
   Ferreira D.F., 2008, REV S, V6, P36
   Guimarães Cleber M., 2008, Rev. bras. eng. agríc. ambient., V12, P465, DOI 10.1590/S1415-43662008000500004
   Heinemann Alexandre Bryan, 2009, Pesquisa Agropecuaria Tropical, V39, P134
   Melo LC, 2007, PESQUI AGROPECU BRAS, V42, P715, DOI 10.1590/S0100-204X2007000500015
   Pires LPM, 2012, BIOSCI J, V28, P214
   MORAIS L. K., 2008, REV BIOCIENCIAS, V14, P9
   Nosse TO, 2008, ACTA SCI-AGRON, V30, P547, DOI 10.4025/actasciagron.v30i4.5316
   Nunes T. V., 2012, Revista Brasileira de Ciencias Agrarias (Agraria), V7, P51
   Terra Thiago Gledson Rios, 2013, Pesqui. Agropecu. Trop., V43, P201, DOI 10.1590/S1983-40632013000200013
   SOUSA S.A., 2012, J BIOTECHNOLOGY BIOD, V3, P80
NR 23
TC 2
Z9 2
U1 1
U2 4
PU UNIV ESTADUAL LONDRINA
PI LONDRINA
PA CAXIA POSTAL 6001, LONDRINA, PARANA 86501-990, BRAZIL
SN 1676-546X
EI 1679-0359
J9 SEMIN-CIENC AGRAR
JI Semin.-Cienc. Agrar.
PY 2016
VL 37
IS 4
BP 1699
EP 1708
DI 10.5433/1679-0359.2016v37n4p1699
PG 10
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA EJ6HL
UT WOS:000393319900001
OA gold, Green Published, Green Submitted
DA 2025-01-10
ER

PT C
AU Krautzer, B
   Graiss, W
   Poetsch, EM
AF Krautzer, B
   Graiss, W
   Poetsch, EM
BE Lillak, R
   Viiralt, R
   Linke, A
   Geherman, V
TI Evaluation of seed mixtures for subalpine pastures
SO INTEGRATING EFFICIENT GRASSLAND FARMING AND BIODIVERSITY
SE Grassland Science in Europe
LA English
DT Proceedings Paper
CT 13th International Occasional Symposium of the
   European-Grassland-Federation
CY AUG 29-31, 2005
CL Tartu, ESTONIA
SP European Grassland Federat
DE site-specific vegetation; subalpine pastures; low-input grassland;
   persistency of vegetation
AB Pastures within the sub-alpine and alpine vegetation belt belong to the most sensitive parts of the Alps. Therefore, seed mixtures used for such areas should combine different economic and ecological characteristics such as low demands on nutrients, satisfactory yield and digestibility, a closed sward, persistence and good adaptation to climate and soil.
   At the location Hochwurzen (1.830 m a.s.l., Styria, Austria), one commercial seed mixture and one mixture containing site-specific subalpine and alpine species that are also useful for agricultural utilisation, were compared over a period of four years. With regard to the normally limited possibilities to reach and utilise such areas, only a single fertiliser application in the setup year was carried out. The assessed species were divided into 3 ecological groups, based on their adaptation to the site. Summarizing the valuable groups with expected sustainability, site-specific seed mixtures reached more than 80% cover with site-specific and site-adapted species. In comparison, the share of valuable groups from the commercial mixture remained about 50%. Results obtained generally showed an increase of positive ecological effects on plots where site-specific seed mixtures were used. Only the seed mixture containing a high share of site-specific and site-adapted species was able to guarantee a sustainable vegetation and sufficient protection against erosion.
C1 Fed Res Inst Agr Alpine Reg, Dept Forage Crop Breeding & Ecol Restorat, A-8952 Gumpenstein, Irdning, Austria.
RP Fed Res Inst Agr Alpine Reg, Dept Forage Crop Breeding & Ecol Restorat, A-8952 Gumpenstein, Irdning, Austria.
CR [Anonymous], VEROFFENTLICHUNGEN G
   GRAISS W, 2004, VEROFFENTLICHUNG BUN, V42
   KRAUTZER B, 2002, SEED PROPAGATION IND
   Krautzer Bernhard., 2004, Site-specific Grasses and Herbs: Seed Production and Use for Restoration of Mountain Environments
   Parente G., 2002, Multi-function grasslands: quality forages, animal products and landscapes. Proceedings of the 19th General Meeting of the European Grassland Federation, La Rochelle, France, 27-30 May 2002, P384
   Peratoner G., 2004, Land use systems in grassland dominated regions. Proceedings of the 20th General Meeting of the European Grassland Federation, Luzern, Switzerland, 21-24 June 2004, P273
   Tasser E, 2003, BASIC APPL ECOL, V4, P271, DOI 10.1078/1439-1791-00153
NR 7
TC 1
Z9 1
U1 0
U2 0
PU ESTONIAN GRASSLAND SOC-EGS
PI TARTU
PA KREUTZWALDI 56, TARTU, 51014, ESTONIA
BN 9985-9611-3-7
J9 GRASSLAND SCI EUR
PY 2005
VL 10
BP 186
EP 189
PG 4
WC Agriculture, Dairy & Animal Science; Agronomy; Plant Sciences
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture; Plant Sciences
GA BDT83
UT WOS:000235293800037
DA 2025-01-10
ER

PT J
AU Pulkkinen, J
   Louis, JN
   Debusschere, V
   Pongrácz, E
AF Pulkkinen, Jari
   Louis, Jean-Nicolas
   Debusschere, Vincent
   Pongracz, Eva
TI Near-, medium- and long-term impacts of climate change on the thermal
   energy consumption of buildings in Finland under RCP climate scenarios
SO ENERGY
LA English
DT Article
DE Climate change; Climate adaptation; Building energy need; Thermal energy
   need; Morphing; RCP climate scenario
ID OVERHEATING RISK; DEMAND
AB The building sector is critical in climate change mitigation by reducing its energy consumption. At the same time, warming climate requires adaptation measures from buildings, making it necessary to study the future thermal energy demand of buildings. This paper studies the impact of climate change on the thermal energy demand of buildings in a heating dominated climate of Finland, under "representative concentration pathway"(RCP) climate scenarios in near- (2030), medium- (2050) and long-term (2080) horizon. Additionally, the impact of the thermal performance level of the buildings is investigated. The thermal energy demand calculation is based on overarching standards from the European "energy performance of buildings"directive. The weather scenarios present both typical and extreme weather years, applied through morphing and future weather data from the Finnish Meteorological Institute. The results show that annual thermal energy demand in Finland in 2080 can decrease up to 74.6 kWh/m2. In addition, the decrease in heating demand will be higher than the increase in cooling demand. Cooling can become the dominant peak in long-term evaluations, especially in South Finland (Vantaa) with passive buildings under RCP8.5 climate scenario. Renovation is the most efficient action to decrease energy intensity, the earliest it is done the better.
C1 [Pulkkinen, Jari; Pongracz, Eva] Univ Oulu, Fac Technol Water Energy & Environm Engn, Pentti Kaiteran Katu 1,POB 4300, FI-90014 Oulu, Finland.
   [Louis, Jean-Nicolas] VTT Tech Res Ctr Finland Ltd, Smart Energy & Built Environm, Tekniikantie 21, Espoo 02044, Finland.
   [Debusschere, Vincent] Univ Grenoble Alpes, CNRS, Grenoble INP, G2Elab, F-38000 Grenoble, France.
C3 University of Oulu; VTT Technical Research Center Finland; Communaute
   Universite Grenoble Alpes; Institut National Polytechnique de Grenoble;
   Universite Grenoble Alpes (UGA); Centre National de la Recherche
   Scientifique (CNRS)
RP Pulkkinen, J (corresponding author), Univ Oulu, Fac Technol Water Energy & Environm Engn, Pentti Kaiteran Katu 1,POB 4300, FI-90014 Oulu, Finland.
EM jari.pulkkinen@oulu.fi
RI ; Pongracz, Eva/L-2054-2013; Louis, Jean-Nicolas/N-6200-2014
OI Pulkkinen, Jari/0000-0002-6026-5575; Pongracz, Eva/0000-0002-2216-8328;
   Louis, Jean-Nicolas/0000-0002-7917-9634
FU University of Oulu Graduate School (UniOGS) , Finland; Academy of
   Finland [333076]; Academy of Finland (AKA) [333076] Funding Source:
   Academy of Finland (AKA)
FX This research was funded by University of Oulu Graduate School (UniOGS)
   , Finland. Jean-Nicolas Louis acknowledges the Academy of Finland for
   providing funding for this research with the Nexus4EU project (333076) .
CR Ahmed K, 2017, SUSTAIN CITIES SOC, V35, P134, DOI 10.1016/j.scs.2017.07.010
   Andric I, 2017, ENERG BUILDINGS, V149, P225, DOI 10.1016/j.enbuild.2017.05.047
   [Anonymous], 2022, Development of Main Heat Sources in Residential Buildings in the 2010s
   Ballarini I, 2020, ENERGIES, V13, DOI 10.3390/en13236217
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Belcher S. E., 2005, Building Services Engineering Research & Technology, V26, P49, DOI 10.1191/0143624405bt112oa
   Berardi U, 2022, ENERG BUILDINGS, V262, DOI 10.1016/j.enbuild.2022.112000
   Berardi U, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109681
   Campana JP, 2019, ENERGIES, V12, DOI 10.3390/en12152938
   CIBSE, 2014, Tech. rep
   De Luca G, 2021, ENERGIES, V14, DOI 10.3390/en14206841
   Dodman D., 2022, IPCC 6 ASSESSMENT RE, P907, DOI [10.1017/9781009325844.008, DOI 10.1017/9781009325844.008]
   Dodoo A, 2017, ENERGY, V135, P563, DOI 10.1016/j.energy.2017.06.123
   Dodoo A, 2016, ENERGY, V97, P534, DOI 10.1016/j.energy.2015.12.086
   Dulian M., 2024, Briefing
   European Commission, 2019, COMMUNICATION COMMIS
   European Commission, 2021, Proposal for a directive of the European parliament and of the council on the energy performance of buildings (recast)
   European Commission Directorate General for Communication, 2021, Making our homes and buildings fit for a greener future, DOI [10.2775/25443, DOI 10.2775/25443]
   European Commission Secretariat-General, 2021, COM(2021) 550 final
   Eurostat, 2023, Heating and cooling degree days-statistics
   Eurostat, 2024, Final energy consumption by sector, DOI [10.2908/NRGBALS, DOI 10.2908/NRGBALS]
   Eurostat, 2024, Disaggregated final energy consumption in households quantities, DOI [10.2908/NRGDHHQ, DOI 10.2908/NRGDHHQ]
   Eurostat, 2024, Final Energy Consumption in Households per Capita
   Evola G, 2021, ENERGY, V219, DOI 10.1016/j.energy.2020.119591
   Fanger P. O., 1970, Thermal comfort. Analysis and applications in environmental engineering.
   Farahani AV, 2022, J BUILD ENG, V57, DOI 10.1016/j.jobe.2022.104951
   Finnish Meteorological Institute, 2023, Lammitystarveluvu eli astepaivaluku
   Finnish Meteorological Institute, 2023, Open data repository
   Hamdy M, 2017, BUILD ENVIRON, V122, P307, DOI 10.1016/j.buildenv.2017.06.031
   Hayati A, 2014, BUILD ENVIRON, V81, P365, DOI 10.1016/j.buildenv.2014.07.013
   Herrera M, 2017, BUILD SERV ENG RES T, V38, P602, DOI 10.1177/0143624417705937
   Hietaharju P, 2021, APPL ENERG, V295, DOI 10.1016/j.apenergy.2021.116962
   Hirvonen J, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102896
   Hirvonen J, 2020, ENERGIES, V13, DOI 10.3390/en13071773
   Hosseini M, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103634
   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]
   Jylha K., 2020, varten, DOI [10.35614/isbn.9789523361287, DOI 10.35614/ISBN.9789523361287]
   Jylhä K, 2015, DATA BRIEF, V4, P162, DOI 10.1016/j.dib.2015.04.026
   Jylhä K, 2015, ENERG BUILDINGS, V99, P104, DOI 10.1016/j.enbuild.2015.04.001
   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]
   Louis JN, 2016, ENERG BUILDINGS, V119, P218, DOI 10.1016/j.enbuild.2016.03.012
   Lundström L, 2019, ENERGIES, V12, DOI 10.3390/en12030485
   Mata É, 2019, APPL ENERG, V242, P1022, DOI 10.1016/j.apenergy.2019.03.042
   Mazzarella L, 2020, ENERG BUILDINGS, V210, DOI 10.1016/j.enbuild.2020.109758
   McAdams WH., 1954, HEAT TRANSMISSION, V3rd, P532
   Ministry of the Environment Finland, 2020, Long-term renovation strategy 2020-2050 Finland
   Mulville M, 2016, BUILD RES INF, V44, P520, DOI 10.1080/09613218.2016.1153355
   Nik VM, 2015, BUILD ENVIRON, V93, P362, DOI 10.1016/j.buildenv.2015.07.012
   Nummelin A, 2017, GEOPHYS RES LETT, V44, P1899, DOI 10.1002/2016GL071333
   Odyssee-Mure, 2023, Sectoral profile Households
   Palyvos JA, 2008, APPL THERM ENG, V28, P801, DOI 10.1016/j.applthermaleng.2007.12.005
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Räisänen J, 2013, CLIM DYNAM, V41, P1553, DOI 10.1007/s00382-012-1515-9
   Rantanen M, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00498-3
   RIL, 2009, RIL 249-2009, P291
   Robert A, 2012, BUILD ENVIRON, V55, P150, DOI 10.1016/j.buildenv.2011.12.014
   Ruosteenoja K., 2016, Geophysica, V51
   Sayadi S, 2022, ENERG BUILDINGS, V261, DOI 10.1016/j.enbuild.2022.111960
   Silvero F, 2019, BUILD SIMUL-CHINA, V12, P943, DOI 10.1007/s12273-019-0532-6
   Statistics Finland, 2023, Final energy consumption by sector 1970-2022
   Statistics Finland, 2023, Household-dwelling units and dwelling population by number of persons, number of rooms and type of building, 2005-2022 (116b). Statistics Finland's free-of-charge statistical databases
   Statistics Finland, 2023, Heating of residential buildings by heating type
   Statistics Finland, 2023, Official statistics of Finland (OSF): Migration
   Statistics Finland, 2024, Total energy consumption by energy source, 2010q1-2023q3
   Statistics Sweden, 2021, POPULATION PROJECTIO
   Sukanen H, 2023, INDOOR BUILT ENVIRON, V32, P1372, DOI 10.1177/1420326X231160977
   Summa S, 2022, ENERGIES, V15, DOI 10.3390/en15031030
   Tettey UYA, 2020, ENERGY, V202, DOI 10.1016/j.energy.2020.117578
   van Ruijven BJ, 2014, CLIMATIC CHANGE, V122, P481, DOI 10.1007/s10584-013-0931-0
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Farahani AV, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11093972
   Walker LS, 1990, Report 71
   Yang YC, 2021, APPL ENERG, V298, DOI 10.1016/j.apenergy.2021.117246
   Ymparistoministerio, 2018, Suomen Rakentamismaarayskokoelma, Energiatehokkuus, Rakennuksen energiankulutuksen ja lammitystehontarpeen laskenta. Ohje, P79
   Zakula T, 2021, APPL ENERG, V298, DOI 10.1016/j.apenergy.2021.117089
   Zhao L, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa9f73
NR 76
TC 2
Z9 2
U1 6
U2 6
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-5442
EI 1873-6785
J9 ENERGY
JI Energy
PD SEP 1
PY 2024
VL 302
AR 131636
DI 10.1016/j.energy.2024.131636
EA MAY 2024
PG 19
WC Thermodynamics; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels
GA UK6J2
UT WOS:001247989100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Roggero, M
   Gotgelf, A
   Eisenack, K
AF Roggero, Matteo
   Gotgelf, Anastasiia
   Eisenack, Klaus
TI Co-benefits as a rationale and co-benefits as a factor for urban climate
   action: linking air quality and emission reductions in Moscow, Paris,
   and Montreal
SO CLIMATIC CHANGE
LA English
DT Article
DE Urban climate governance; Climate mitigation; Climate adaptation; Cities
ID TRANSNATIONAL MUNICIPAL NETWORKS; GREENHOUSE-GAS EMISSIONS; CHANGE
   POLICIES; CHANGE ADAPTATION; CITIES; HEALTH; MITIGATION; COVENANT;
   GOVERNANCE; MELBOURNE
AB If local governments reduce greenhouse gas emissions, they will not see effects unless a very large number of other actors do the same. However, reducing greenhouse gas emissions can have multiple local "co-benefits" (improved air quality, energy savings, even energy security), creating incentives for local governments to reduce emissions-if just for the local side-effects of doing so. Available empirical research yet shows a large gap between co-benefits as a rationale and an explanatory factor for climate mitigation by local governments: co-benefits are seemingly very large, but do not seem to drive local mitigation efforts. Relying on policy documents, available research, and other written sources, the present paper consists of a multiple case study addressing the link between co-benefits and climate mitigation in Moscow, Paris, and Montreal. Air quality plays a very different role in each case, ranging from a key driver of mitigation to a liability for local climate action. This heterogeneity of mechanisms in place emerges as a likely explanation for the lack of a clear empirical link between co-benefits and local mitigation in the literature. We finally discuss implications for urban climate action policy and research.
C1 [Roggero, Matteo; Gotgelf, Anastasiia; Eisenack, Klaus] Humboldt Univ, Resource Econ Grp, Unter Linden 6, D-10099 Berlin, Germany.
C3 Humboldt University of Berlin
RP Roggero, M (corresponding author), Humboldt Univ, Resource Econ Grp, Unter Linden 6, D-10099 Berlin, Germany.
EM matteo.mancini.roggero@gmail.com
FU Humboldt-Universitt zu Berlin (1034)
FX No Statement Available
CR Andonova LB, 2017, INT STUD QUART, V61, P253, DOI 10.1093/isq/sqx014
   [Anonymous], 2012, Bhattacherjee
   [Anonymous], 2013, GUARDIAN
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   BAAQMD, 2008, Wood Burning Rule
   Bansard JS, 2017, INT ENVIRON AGREEM-P, V17, P229, DOI 10.1007/s10784-016-9318-9
   BBC, 2014, China: outdoor grills banned in Beijing
   Boussalis C, 2018, CLIMATIC CHANGE, V149, P173, DOI 10.1007/s10584-018-2223-1
   Boyd D, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103563
   Brody SD, 2008, LANDSCAPE URBAN PLAN, V87, P33, DOI 10.1016/j.landurbplan.2008.04.003
   Broto VC, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.643
   Comune di Milano, 2020, Regolamento per la qualita dell'aria
   Dale A, 2020, CLIM POLICY, V20, P866, DOI 10.1080/14693062.2019.1651244
   Dodman D., 2022, IPCC 6 ASSESSMENT RE, P907, DOI [10.1017/9781009325844.008, DOI 10.1017/9781009325844.008]
   Domorenok E, 2019, ENVIRON POLIT, V28, P293, DOI 10.1080/09644016.2019.1549777
   Eckersley P, 2023, ENVIRON POLICY GOV, V33, P178, DOI 10.1002/eet.2010
   EEA (European Environment Agency),, 2020, World Air Quality Report, DOI [10.2800/786656, DOI 10.2800/786656]
   Eisenack K, 2022, GLOBAL ENVIRON CHANG, V72, DOI 10.1016/j.gloenvcha.2021.102439
   Eisenack K, 2021, ECOL SOC, V26, DOI 10.5751/ES-12484-260231
   Eisenack K, 2019, ECOL SOC, V24, DOI 10.5751/ES-10855-240306
   Eisenack K, 2016, ECOL ECON, V124, P153, DOI 10.1016/j.ecolecon.2016.01.016
   Floater G., 2016, COBENEFITS URBAN CLI
   Gotgelf A, 2020, ECOL SOC, V25, DOI 10.5751/ES-11768-250406
   Grafakos S, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109623
   Gurney KR, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-020-20871-0
   Hamilton I, 2021, LANCET PLANET HEALTH, V5, pE74, DOI 10.1016/S2542-5196(20)30249-7
   Heidrich O, 2016, J ENVIRON MANAGE, V168, P36, DOI 10.1016/j.jenvman.2015.11.043
   Heikkinen M, 2020, J CLEAN PROD, V257, DOI 10.1016/j.jclepro.2020.120474
   Heikkinen M, 2019, J ENVIRON POL PLAN, V21, P90, DOI 10.1080/1523908X.2018.1473151
   Hennessey R, 2017, ENERG POLICY, V111, P214, DOI 10.1016/j.enpol.2017.09.025
   Homsy G.C., 2018, Climate change in cities, P19, DOI [DOI 10.1007/978-3-319-65003-6_2, 10.1007/978-3-319-65003-6_2]
   Hsu A, 2020, NAT CLIM CHANGE, V10, DOI 10.1038/s41558-020-0879-9
   Izquierdo R, 2020, ENVIRON RES, V183, DOI [10.1016/j.envres.2020.109021, 10.1016/j.envres.2019.109021]
   Jones S., 2018, Springer Int Publ, DOI [10.1007/978-3-319-64810-1, DOI 10.1007/978-3-319-64810-1]
   Jones S, 2013, REG STUD, V47, P974, DOI 10.1080/00343404.2011.585150
   Jones S, 2012, INT J URBAN REGIONAL, V36, P1242, DOI 10.1111/j.1468-2427.2011.01083.x
   Karlsson M, 2020, CLIM POLICY, V20, P292, DOI 10.1080/14693062.2020.1724070
   Kern K., 2021, Matching Forerunner Cities: Assessing Turku's Climate Policy in Comparison with Malmo, Groningen and Rostock
   Khan F, 2016, CLIMATIC CHANGE, V139, P141, DOI 10.1007/s10584-016-1793-z
   Khomenko S, 2021, LANCET PLANET HEALTH, V5, pE121, DOI 10.1016/S2542-5196(20)30272-2
   Kona A, 2018, SUSTAIN CITIES SOC, V41, P568, DOI 10.1016/j.scs.2018.05.017
   Kousky C, 2003, CLIM POLICY, V3, P359, DOI 10.1016/j.clipol.2003.08.002
   Krause RM, 2021, URBAN AFF REV, V57, P583, DOI 10.1177/1078087419884650
   Krause RM, 2011, ENVIRON PLANN C, V29, P46, DOI 10.1068/c09185
   Kvale S., 2009, Interviews: Learning the Craft of Qualitative Research Interviewing
   Lee T, 2014, J COMP POLICY ANAL, V16, P475, DOI 10.1080/13876988.2014.910938
   Luyten A, 2023, J CLIM CHANGE HEALTH, V9, DOI 10.1016/j.joclim.2022.100186
   Maibach EW, 2010, BMC PUBLIC HEALTH, V10, DOI 10.1186/1471-2458-10-299
   Maji KJ, 2018, SCI TOTAL ENVIRON, V612, P683, DOI 10.1016/j.scitotenv.2017.08.254
   Maltby T, 2022, ENVIRON PLAN C-POLIT, V40, P685, DOI 10.1177/2399654420981609
   Mayrhofer JP, 2016, ENVIRON SCI POLICY, V57, P22, DOI 10.1016/j.envsci.2015.11.005
   Mendez MA, 2015, LOCAL ENVIRON, V20, P637, DOI 10.1080/13549839.2015.1038227
   Michaelowa K, 2017, INT INTERACT, V43, P129, DOI 10.1080/03050629.2017.1256110
   Newell Robert, 2018, International Journal of Climate Change: Impacts and Responses, V10, P1, DOI 10.18848/1835-7156/CGP/v10i04/1-23
   Nowak DJ, 2018, URBAN FOR URBAN GREE, V29, P40, DOI 10.1016/j.ufug.2017.10.019
   Olson M., 1965, LOGIC COLLECTIVE ACT
   Pablo-Romero MD, 2015, REV POLICY RES, V32, P576, DOI 10.1111/ropr.12135
   Parvez M, 2019, SUSTAIN ACCOUNT MANA, V10, P685, DOI 10.1108/SAMPJ-11-2017-0138
   Pearce D., 2000, Policy framework for the ancillary benefits of climate change policies
   Pitt D, 2010, ENVIRON PLANN C, V28, P851, DOI 10.1068/c09175
   R?bbelke D., 2002, INT CLIMATE POLICY C
   Rashidi K, 2018, MITIG ADAPT STRAT GL, V23, P507, DOI 10.1007/s11027-017-9747-y
   Reckien D, 2018, Assessment of local climate plans, V885
   Roggero M, 2023, CLIM POLICY, DOI 10.1080/14693062.2023.2282488
   Sabel CE, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0097-0
   Scasny M, 2015, ENVIRON RESOUR ECON, V62, P383, DOI 10.1007/s10640-015-9969-y
   Schucht S, 2015, ENVIRON SCI POLICY, V50, P252, DOI 10.1016/j.envsci.2015.03.001
   Seawright J, 2008, POLIT RES QUART, V61, P294, DOI 10.1177/1065912907313077
   Sharifi A, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141642
   Shimamoto MM, 2017, WEATHER CLIM SOC, V9, P777, DOI 10.1175/WCAS-D-16-0142.1
   Sietz D, 2019, ECOL SOC, V24, DOI 10.5751/ES-11103-240334
   Sippel M, 2009, MPRA Paper No. 20987
   Slovic AD, 2018, ENVIRON SCI POLICY, V81, P1, DOI 10.1016/j.envsci.2017.12.001
   Sovacool BK, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106529
   Steffen B, 2019, CLIM POLICY, V19, P908, DOI 10.1080/14693062.2019.1599804
   Strosnider H, 2017, MMWR SURVEILL SUMM, V66, P1, DOI 10.15585/mmwr.ss6613a1
   Ürge-Vorsatz D, 2014, ANNU REV ENV RESOUR, V39, P549, DOI 10.1146/annurev-environ-031312-125456
   van der Heijden J, 2019, EARTH SYST GOV-NETH, V1, DOI 10.1016/j.esg.2019.100005
   VanDerHeijden J, 2019, EARTH SYST GOV CUP, P1, DOI 10.1017/9781108632157
   VanDerHeijden J, 2017, BUS PUB POL, P1, DOI 10.1017/9781108233293
   West JJ, 2013, NAT CLIM CHANGE, V3, P885, DOI [10.1038/NCLIMATE2009, 10.1038/nclimate2009]
   Workman A, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040674
   World Health Organization, 2023, World health statistics 2023: monitoring health for the sdgs, sustainable development goals
   Yin R.K., 1994, Case study research: Design and methods
   Zhang YQ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8f76
   Zhou B, 2022, SUSTAIN SCI, V17, P1757, DOI 10.1007/s11625-022-01132-z
   Zimmermann K, 2018, COGENT SOC SCI, V4, DOI 10.1080/23311886.2018.1482985
NR 87
TC 3
Z9 3
U1 2
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 DEC
PY 2023
VL 176
IS 12
AR 179
DI 10.1007/s10584-023-03662-6
PG 23
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA CB1A4
UT WOS:001122687100002
OA hybrid
DA 2025-01-10
ER

PT J
AU Corbau, C
   Greco, M
   Martino, G
   Olivo, E
   Simeoni, U
AF Corbau, Corinne
   Greco, Michele
   Martino, Giovanni
   Olivo, Elisabetta
   Simeoni, Umberto
TI Assessment of the Vulnerability of the Lucana Coastal Zones (South
   Italy) to Natural Hazards
SO JOURNAL OF MARINE SCIENCE AND ENGINEERING
LA English
DT Article
DE erosion and flooding hazards; coastal integrated vulnerability index;
   physical vulnerability index; coastal management
ID DEFINITION; MANAGEMENT; EVOLUTION; RISK; CLASSIFICATION; CHALLENGES;
   IMPACT
AB Coasts are highly dynamic and geo-morphologically complex systems that are exposed to several factors such as waves, extreme meteorological events and climate change. It is also well-recognized that coastal zones, characterized by an increasing population growth, are vulnerable to climate change. In addition, coastal erosion, resulting from natural environment changes and human activities, acts worldwide. Consequently, it is necessary to quantify coastal hazards vulnerability and develop tools to monitor coastal risks and support making targeted climate adaptation policies. In this paper, a framework to estimate coastal vulnerability to flooding and erosion has been developed for the Ionian Basilicata coast. It is based on two methods: the integrated vulnerability index (flooding and erosion) and the CeD physical vulnerability index (multi-risk assessment). Our results are in agreement with the recent shoreline evolution: the integrated coastal risk of the Ionian Basilicata coast is generally medium to high, while the "physical erosion vulnerability" is generally high to very high. In addition, the results highlight a spatial variability of the vulnerability, probably due to the morphology of the beach, which requires developing a strategic approach to coastal management and defining mitigation measures, considering relevant risk aspects as the vulnerability and exposure degree.
C1 [Corbau, Corinne; Olivo, Elisabetta] Univ Ferrara, Dept Environm & Prevent Sci, I-44120 Ferrara, Italy.
   [Greco, Michele; Martino, Giovanni] Univ Basilicata, Sch Engn, I-85100 Potenza, Italy.
   [Simeoni, Umberto] Consorzio Univ Ric Socioecon & Ambiente CURSA, I-00187 Rome, Italy.
C3 University of Ferrara; University of Basilicata
RP Corbau, C (corresponding author), Univ Ferrara, Dept Environm & Prevent Sci, I-44120 Ferrara, Italy.
EM cbc@unife.it; michele.greco@unibas.it; giovanni.martino@unibas.it;
   elisabetta.olivo@unife.it; g23@unife.it
RI Corbau, Corinne/GXG-6338-2022; Greco, Michele/B-6809-2013
OI Corbau, Corinne/0000-0002-9210-9745; Greco, Michele/0000-0002-3986-7117
CR Aiello A, 2013, ESTUAR COAST SHELF S, V129, P124, DOI 10.1016/j.ecss.2013.06.012
   Anfuso G, 2011, GEOMORPHOLOGY, V129, P204, DOI 10.1016/j.geomorph.2011.01.023
   Anfuso G, 2021, J MAR SCI ENG, V9, DOI 10.3390/jmse9010072
   [Anonymous], 2011, ETC CCA TECHNICAL PA
   [Anonymous], 2006, Publications of the European Communities, P6
   [Anonymous], 2009, Terminology on Disaster Risk Reduction
   [Anonymous], 1994, J. Coast Res.
   Anzidei M, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8020064
   Balica SF, 2009, WATER SCI TECHNOL, V60, P2571, DOI 10.2166/wst.2009.183
   Batista C.M., 2018, ENCY COASTAL SCI ENC, DOI [10.1007/978-3-319-48657-4_408-1, DOI 10.1007/978-3-319-48657-4_408-1]
   Benassai G., 2009, STUDI COSTIERI, V16, P51
   Bernstein L., 2008, IPCC 2007 CLIMATE CH
   Bianco F, 2020, WATER-SUI, V12, DOI 10.3390/w12030805
   Biondi B., 1991, P EFF INQ ATM CLIM V, P225
   Boak EH, 2005, J COASTAL RES, V21, P688, DOI 10.2112/03-0071.1
   Bonora N, 2002, J COASTAL RES, P81
   Boruff BJ, 2005, J COASTAL RES, V21, P932, DOI 10.2112/04-0172.1
   BRAY MJ, 1995, J COASTAL RES, V11, P381
   Breil M., 2007, IMPATTI CAMBIAMENTO
   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
   Cocco E., 1975, GEOL APPL IDROGEOL, V10, P1
   Cocco E., 1978, MEM SOC GEOL ITAL, V19, P369
   Cooper JAG, 1998, J COASTAL RES, V14, P512
   Cooper NJ, 2006, OCEAN COAST MANAGE, V49, P498, DOI 10.1016/j.ocecoaman.2006.04.003
   Cotti D, 2022, FRONT WATER, V4, DOI 10.3389/frwa.2022.886648
   DALCIN R, 1994, J COASTAL RES, V10, P18
   de Schipper MA, 2021, NAT REV EARTH ENV, V2, P70, DOI 10.1038/s43017-020-00109-9
   De Serio F, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8110415
   Di Paola G, 2018, J COAST CONSERV, V22, P1001, DOI 10.1007/s11852-017-0574-9
   Dilley M, 2005, DISAST RISK MANAGE, P1
   Douben KJ, 2006, IRRIG DRAIN, V55, pS9, DOI 10.1002/ird.239
   Ferreira O, 2006, CONT SHELF RES, V26, P1030, DOI 10.1016/j.csr.2005.12.016
   Furlan E, 2021, SCI TOTAL ENVIRON, V772, DOI 10.1016/j.scitotenv.2020.144650
   Gallina V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093697
   Gallina V, 2016, J ENVIRON MANAGE, V168, P123, DOI 10.1016/j.jenvman.2015.11.011
   GORNITZ V, 1991, GLOBAL PLANET CHANGE, V89, P379, DOI 10.1016/0921-8181(91)90118-G
   Greco M, 2016, NAT HAZARDS, V82, pS7, DOI 10.1007/s11069-016-2293-1
   Greco M, 2014, ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 4: MARINE AND COASTAL PROCESSES, P41, DOI 10.1007/978-3-319-08660-6_8
   Greco M, 2014, PROCEDIA ENGINEER, V70, P763, DOI 10.1016/j.proeng.2014.02.083
   Greco M., 2014, P 7 WSEAS INT C ENV, V25, P66
   Greco M., 2017, J. Coast. Zone Manag, V20, P446, DOI [10.4172/2473-3350.1000446, DOI 10.4172/2473-3350.1000446]
   Guariglia A, 2006, ANN GEOPHYS-ITALY, V49, P295
   Kappes MS, 2012, NAT HAZARDS, V64, P1925, DOI 10.1007/s11069-012-0294-2
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   KRIEBEL DL, 1993, J WATERW PORT C-ASCE, V119, P204, DOI 10.1061/(ASCE)0733-950X(1993)119:2(204)
   Lira CP, 2016, EARTH SYST SCI DATA, V8, P265, DOI 10.5194/essd-8-265-2016
   Marsicano D., 1996, BASILICATA REG NOT, V1, P19
   Martinelli L, 2010, COAST ENG, V57, P1042, DOI 10.1016/j.coastaleng.2010.06.007
   Marzocchi W, 2012, NAT HAZARDS, V62, P551, DOI 10.1007/s11069-012-0092-x
   Masson-Delmotte V., 2021, Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change, P2
   Mastronuzzi G., 1996, BASILICATA REG NOT, V1, P27
   McLaughlin S, 2010, ENVIRON HAZARDS-UK, V9, P233, DOI 10.3763/ehaz.2010.0052
   Mentaschi L, 2015, OCEAN MODEL, V90, P82, DOI 10.1016/j.ocemod.2015.04.003
   Molina R, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11133539
   Montanari R., 2012, REGIONE EMILIA ROMAG, P72
   Montoya L, 2004, HABITAT INT, V28, P499, DOI 10.1016/j.habitatint.2003.08.001
   Moore LJ, 2006, J COASTAL RES, V22, P894, DOI 10.2112/04-0401.1
   Motyka J.M., 1993, COASTAL MANAGEMENT M
   Nguyen CH, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13021004
   Nicholls RJ, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P315
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Pethick J., 2013, COASTAL SEDIMENT CEL, P20
   Pranzini E, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8010033
   Ramesh R, 2021, J COAST CONSERV, V25, DOI 10.1007/s11852-021-00799-3
   Romieu E, 2010, SUSTAIN SCI, V5, P159, DOI 10.1007/s11625-010-0112-2
   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
   Satta A., 2014, INDEX BASED METHOD A, DOI [10.13140/RG.2.1.4825.4969, DOI 10.13140/RG.2.1.4825.4969]
   Selicato F., 2014, P 2014 INT C CIV ENG
   Simeoni U., 2003, P 6 INT C MEDITERRAN, P1825
   Thieler E., 2009, Digital Shoreline Analysis System (DSAS) version 4.0- An ArcGIS extension for calculating shorline change, DOI [10.3133/ofr20081278, DOI 10.3133/OFR20081278]
   Titus J. G., 2009, Coastal sensitivity to sea-level rise: a focus on the Mid-Atlantic Region
   Toure S, 2019, ISPRS INT J GEO-INF, V8, DOI 10.3390/ijgi8020075
   Tsoukala VK, 2015, ENVIRON PROCESS, V2, pS55, DOI 10.1007/s40710-015-0096-0
   Vita M., 2008, P ATTI CONVEGNO COST, P29
   Whitehouse R., 2009, CHARACTERISATION PRE
   Williams AT, 2018, OCEAN COAST MANAGE, V156, P4, DOI 10.1016/j.ocecoaman.2017.03.022
NR 77
TC 4
Z9 5
U1 1
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-1312
J9 J MAR SCI ENG
JI J. Mar. Sci. Eng.
PD JUL
PY 2022
VL 10
IS 7
AR 888
DI 10.3390/jmse10070888
PG 21
WC Engineering, Marine; Engineering, Ocean; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Oceanography
GA 3H8XL
UT WOS:000832313400001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Truu, M
   Annus, I
   Roosimagi, J
   Kaendler, N
   Vassiljev, A
   Kaur, K
AF Truu, Murel
   Annus, Ivar
   Roosimagi, Janet
   Kaendler, Nils
   Vassiljev, Anatoli
   Kaur, Katrin
TI Integrated Decision Support System for Pluvial Flood-Resilient Spatial
   Planning in Urban Areas
SO WATER
LA English
DT Article
DE stormwater-resilient urban design; climate adaptation; urban planning;
   pluvial flooding; risk
AB Flood-resilient spatial planning in urban areas involves designing and implementing structural and nonstructural measures. For the latter, urban planners apply a precautionary principle, which is normally not grounded in the actual performance of the urban drainage system (UDS). This approach, however, fails during weather extremes with heavy precipitation. This paper presents a new concept for reducing pluvial flood risks in the urban planning process. The novelty of the developed planning support system named Extreme Weather Layer (EWL) is that it creates dynamic interlinkages between land developments, the performance of UDS, and other factors that contribute to flood risk. The EWL is built on the digital twin of the existing UDS and delivers an easy-to-use concept, where the end user can analyze hydraulic modelling results interlinked with climate scenarios using the GIS platform. This allows planning specialists to consider land use and soil types in the urban environment to simulate the response of the storm water system and the catchments to different rainfall events. This proposed approach was piloted in Haapsalu (Estonia) and Soderhamn (Sweden). The resulting planning support system, which performs as a set of layers within municipalities' GIS, allows decision makers to understand and predict the impact of various spatial planning decisions on the pluvial flood risk.
C1 [Truu, Murel; Annus, Ivar; Roosimagi, Janet; Kaendler, Nils; Vassiljev, Anatoli; Kaur, Katrin] Tallinn Univ Technol, Dept Civil Engn & Architecture, Ehitajate Tee 5, EE-19086 Tallinn, Estonia.
C3 Tallinn University of Technology
RP Annus, I (corresponding author), Tallinn Univ Technol, Dept Civil Engn & Architecture, Ehitajate Tee 5, EE-19086 Tallinn, Estonia.
EM murel.truu@taltech.ee; ivar.annus@taltech.ee;
   janet.roosimagi@taltech.ee; nils.kandler@taltech.ee;
   anatoli.vassiljev@taltech.ee; katrin.kaur@taltech.ee
RI Vassiljev, Anatoli/AAX-8009-2020
OI Kaur, Katrin/0000-0002-4111-9302; Kandler, Nils/0000-0001-6968-7005;
   Truu, Murel/0000-0003-1195-3010
CR Albrechts L, 2004, ENVIRON PLANN B, V31, P743, DOI 10.1068/b3065
   Anim DO, 2019, J ENVIRON MANAGE, V233, P1, DOI 10.1016/j.jenvman.2018.12.023
   Annus I, 2021, WATER-SUI, V13, DOI 10.3390/w13101419
   [Anonymous], Climate change adaptation-EEA Activities
   [Anonymous], 2014, EESTI TULEVIKU KLIIM
   Bach PM, 2020, SCI TOTAL ENVIRON, V726, DOI 10.1016/j.scitotenv.2020.138282
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Coaffee J, 2013, PLAN PRACT RES, V28, P323, DOI 10.1080/02697459.2013.787693
   Cristina M., 2017, DESALIN WATER TREAT, V63, P381, DOI [10.5004/dwt.2017.11441, DOI 10.5004/DWT.2017.11441]
   EAA, URB AD CLIM CHANG EU
   European Commission, FORG CLIM RES EUR TH
   Gandini A, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102437
   Handmer J., 2005, EVALUATION FLOOD WAR
   Ignatius M, 2019, IOP C SER EARTH ENV, V294, DOI 10.1088/1755-1315/294/1/012018
   IPCC, AR5 Climate Change 2014: Mitigation of Climate Change
   Jato-Espino D, 2019, ENVIRON MODELL SOFTW, V122, DOI 10.1016/j.envsoft.2017.05.008
   Kändler N, 2022, URBAN WATER J, V19, P97, DOI 10.1080/1573062X.2021.1958235
   Kandler N, 2020, URBAN WATER J, V17, P577, DOI 10.1080/1573062X.2019.1611888
   Kourtis IM, 2021, SCI TOTAL ENVIRON, V771, DOI 10.1016/j.scitotenv.2021.145431
   La Rosa D, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101885
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Masson-Delmotte V., 2021, 2021 CLIMATE CHANGE
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Mikovits C, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000840c, 10.1061/(ASCE)WR.1943-5452.0000840]
   Papadopoulou M., 2013, The green space factor as a tool for regulating the urban microclimate in vegetation-deprived Greek cities, DOI [10.13140/2.1.1598.8484, DOI 10.13140/2.1.1598.8484]
   Rossman L.A., STORM WATER MANAGEME
   Sadler JM, 2020, J HYDROL, V583, DOI 10.1016/j.jhydrol.2020.124571
   Santoso H., 2008, CIFOR Working Paper
   Sardella A, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11070700
   Shen J, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9060359
   Simperler L, 2020, J ENVIRON MANAGE, V265, DOI 10.1016/j.jenvman.2020.110507
   Tapia C, 2017, ECOL INDIC, V78, P142, DOI 10.1016/j.ecolind.2017.02.040
   Warsta L, 2017, URBAN WATER J, V14, P954, DOI 10.1080/1573062X.2017.1325496
   Zeng ZQ, 2021, ENVIRON MODELL SOFTW, V135, DOI 10.1016/j.envsoft.2020.104887
NR 34
TC 18
Z9 18
U1 8
U2 51
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD DEC
PY 2021
VL 13
IS 23
AR 3340
DI 10.3390/w13233340
PG 19
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA XV0RU
UT WOS:000734661100001
OA gold
DA 2025-01-10
ER

PT J
AU Mendizabal, M
   Peña, N
   Hooyberghs, H
   Lambrechts, G
   Sepúlveda, J
   Zorita, S
AF Mendizabal, Maddalen
   Pena, Nieves
   Hooyberghs, Hans
   Lambrechts, Griet
   Sepulveda, Joel
   Zorita, Saioa
TI Lessons Learned from Applying Adaptation Pathways in Heatwave Risk
   Management in Antwerp and Key Challenges for Further Development
SO SUSTAINABILITY
LA English
DT Article
DE effectiveness; alternatives; heatwaves; planning; decision making;
   uncertainty; dynamic adaptive policy
ID CLIMATE-CHANGE; OPTIONS; DECISIONS; STRESS
AB Heat exposure is a well-known health hazard, which causes several problems ranging from thermal discomfort or productivity reduction to the aggravation of existing illnesses and death. Climate projections foresee an increase in the frequency and intensity of heat-related impacts on human health. To reduce these climate risks, governments need a better understanding of not only the scale and the factors affecting those risks, but also how to prepare and protect the city and citizens against these risks and prevent them through effective policy making. Therefore, climate adaptation decisions need to be made in complex systems with manifold uncertainties. In response to these deep uncertainties, different planning approaches have been developed to assist policymakers in decision making. This paper is focused on one of the dynamic adaptive policy planning approaches: the adaptation pathway. This approach allows designing alternative feasible plans that are flexible and can respond when new information appears or when conditions in the environment change. This paper presents a structured methodology for designing adaptation pathways. The work describes a high-level adaptation pathway covering heatwave impacts on productivity and health at city level in Antwerp to ensure the city adapts to future conditions. Lastly, a summary is provided of the lessons learned and the challenges of this approach are discussed.</p>
C1 [Mendizabal, Maddalen; Pena, Nieves; Zorita, Saioa] TECNALIA, Basque Res & Technol Alliance BRTA, Energy & Environm Div Tecnalia Res & Innovat, Edificio 700,Parque Tecnol Bizkaia, Derio 48160, Spain.
   [Hooyberghs, Hans] Vlaamse Instelling Technolog Onderzoek VITO, Environm Modeling Team, BE-2400 Mol, Belgium.
   [Lambrechts, Griet] Environm Off, Grote Markt 1, BE-2000 Antwerp, Belgium.
   [Sepulveda, Joel] AS Fabr Bilbao, Campus Bilbao AS Fabr,Olagorta Kalea 26, Bilbao 48014, Spain.
RP Mendizabal, M; Zorita, S (corresponding author), TECNALIA, Basque Res & Technol Alliance BRTA, Energy & Environm Div Tecnalia Res & Innovat, Edificio 700,Parque Tecnol Bizkaia, Derio 48160, Spain.
EM maddalen1214@gmail.com; nieves.pena@tecnalia.com;
   hans.hooyberghs@vito.be; Griet.Lambrechts@antwerpen.be;
   jsepulveda@mondragon.edu; saioa.zorita@tecnalia.com
OI ZORITA, SAIOA/0000-0003-1417-7790; Pena Cerezo,
   Nieves/0000-0002-0843-8838; Hooyberghs, Hans/0000-0002-6166-341X
FU European Community's Seventh Framework Programme [308497]; European
   Union's Horizon 2020 research and innovation programme [653522]; H2020
   Societal Challenges Programme [653522] Funding Source: H2020 Societal
   Challenges Programme
FX This work was supported by the European Community's Seventh Framework
   Programme (grant agreement no. 308497), Project RAMSES "Reconciling
   Adaptation, Mitigation and Sustainable Development for Cities"
   (2012-2017). In addition, this study has received partial funding from
   the European Union's Horizon 2020 research and innovation programme
   under grant agreement no. 653522 (RESIN Climate Resilient Cities and
   Infrastructures project).
CR [Anonymous], ISO 7243:2017 Ergonomics of the Thermal Environment-Assessment of Heat Stress using the WBGT (Wet Bulb Globe Temperature) Index
   [Anonymous], 2010, COSTS DEV COUNTR AD
   [Anonymous], 2006, STERN REV EC CLIMATE
   [Anonymous], 2019, 140902019EN ISO
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Bernard T E, 1999, Appl Occup Environ Hyg, V14, P126
   de Bruin K, 2009, CLIMATIC CHANGE, V95, P23, DOI 10.1007/s10584-009-9576-4
   Gersonius B, 2012, J WATERW PORT COAST, V138, P386, DOI 10.1061/(ASCE)WW.1943-5460.0000142
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Haasnoot M, 2012, CLIMATIC CHANGE, V115, P795, DOI 10.1007/s10584-012-0444-2
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Harvey H, 2012, J HYDROINFORM, V14, P537, DOI 10.2166/hydro.2011.055
   Hooyberghs H., 2015, AGGLOMERATION SCALE
   Hooyberghs H, 2017, CLIMATIC CHANGE, V144, P721, DOI 10.1007/s10584-017-2058-1
   IPCC, 2014, CLIMATE CHANGE 2014, P2593
   Kim K, 2017, RENEW SUST ENERG REV, V75, P918, DOI 10.1016/j.rser.2016.11.073
   Kingsborough A, 2016, SUSTAIN CITIES SOC, V27, P386, DOI 10.1016/j.scs.2016.08.013
   Kjellstrom T, 2009, GLOBAL HEALTH ACTION, V2, DOI [10.3402/gha.v2i0.1958, 10.3402/gha.v2i0.2047]
   Kjellstrom T, 2009, GLOBAL HEALTH ACTION, V2, P81, DOI 10.3402/gha.v2i0.2082
   Lawrence J, 2013, ENVIRON SCI POLICY, V33, P133, DOI 10.1016/j.envsci.2013.05.008
   Linquiti P, 2012, CLIM CHANG ECON, V3, DOI 10.1142/S201000781250008X
   Masson-Delmotte V., 2021, Climate Change 2021: The Physical Science Basis, P41
   Md. Sujahangir K. S., 2012, Journal of Environmental Science and Technology, V5, P397, DOI 10.3923/jest.2012.397.406
   Mendizabal M., 2017, TRANSITION REPORTS S
   Mendizabal M., 2016, STANDARDIZATION ADAP
   Mendizabal M., DELIVERABLE 8 2 TRAN
   Mendizabal M., 2018, RAMSES TRANSITION HD, DOI [10.2312/PIK.2018.003, DOI 10.2312/PIK.2018.003]
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Naumann G, 2020, JRC Publications Repository, DOI [DOI 10.2760/47878, 10.2760/47878,JRC118540]
   Parsons K, 2006, IND HEALTH, V44, P368, DOI 10.2486/indhealth.44.368
   Reeder T., 2010, LESSONS THAMES ESTUA
   Rosenzweig C, 2014, GLOBAL ENVIRON CHANG, V28, P395, DOI 10.1016/j.gloenvcha.2014.05.003
   Russo S, 2014, J GEOPHYS RES-ATMOS, V119, P12500, DOI 10.1002/2014JD022098
   Sherwood SC, 2010, P NATL ACAD SCI USA, V107, P9552, DOI 10.1073/pnas.0913352107
   Siebentritt M., 2014, REGIONAL CLIMATE CHA, P67
   Swart RJ, 2004, GLOBAL ENVIRON CHANG, V14, P137, DOI 10.1016/j.gloenvcha.2003.10.002
   Tapia C, 2017, ECOL INDIC, V78, P142, DOI 10.1016/j.ecolind.2017.02.040
   UNFCCC (United Nations Framework Convention on Cli- mate Change), 2007, INV FIN FLOWS ADDR C
   Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955
   Walker WE, 2010, TECHNOL FORECAST SOC, V77, P917, DOI 10.1016/j.techfore.2010.04.004
   Walker WE, 2001, EUR J OPER RES, V128, P282, DOI 10.1016/S0377-2217(00)00071-0
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Zhang SX, 2012, J HYDROINFORM, V14, P13, DOI 10.2166/hydro.2011.078
NR 43
TC 2
Z9 2
U1 2
U2 5
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2021
VL 13
IS 20
AR 11481
DI 10.3390/su132011481
PG 23
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA WT8RX
UT WOS:000716127500001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Tadese, MT
   Kumar, L
   Koech, R
   Kogo, BK
AF Tadese, Mahtsente T.
   Kumar, Lalit
   Koech, Richard
   Kogo, Benjamin K.
TI Perception of the impacts of climate and environmental variability on
   water availability, irrigation and farming systems: a study in rural
   households of Awash River Basin, Ethiopia
SO INTERNATIONAL JOURNAL OF AGRICULTURAL SUSTAINABILITY
LA English
DT Article
DE Climate change; farmers; perception; ecosystem; adaptation
ID ADAPTATION STRATEGIES; FARMERS PERCEPTIONS; RESOURCES; RESPONSES; TRENDS
AB Climate and environmental change are critical factors affecting water resources, irrigation and farming systems in Ethiopia as most of the population and the country's economy depend on agriculture. The aim of this study was to investigate farmers' perceptions of climate and environmental change and impacts of those changes on their farming systems, water resources, and irrigation. The study used a semi-structured questionnaire to interview a total of 201 rural households from nine different villages in Awash River Basin (ARB), Ethiopia. The data collected was analysed by descriptive statistics, quantitative data analysis and multinominal logistic regression using the Statistical Package for Social Scientists (SPSS) software. About 80, 97 and 98% of the respondents perceived the occurrence of climate variability in the Upper, Middle and Lower ARBs, respectively. Between 68 and 80% of the respondents noted that they had observed variable rainfall (either an increase or a decrease) during different seasons of the year. More than 70% of the respondents also confirmed that there was temperature change in their areas. The high awareness of climate change and environmental variability by farmers in the ARB may help decision and policymakers in establishing participatory climate adaptation and mitigation strategies.
C1 [Tadese, Mahtsente T.; Kumar, Lalit; Kogo, Benjamin K.] Univ New England, Sch Environm & Rural Sci, Armidale, NSW 2351, Australia.
   [Koech, Richard] Cent Queensland Univ, Dept Agr Sci & Environm, Bundaberg, Qld, Australia.
C3 University of New England; Central Queensland University
RP Tadese, MT (corresponding author), Univ New England, Sch Environm & Rural Sci, Armidale, NSW 2351, Australia.
EM mtadese@myune.edu.au
RI Kumar, Lalit/JFK-9602-2023
OI Kogo, Benjamin/0000-0001-5406-303X; Tadese, Mahtsente
   Tibebe/0000-0002-4496-2602
FU University of New England through the International Postgraduate
   Research Award
FX The first author obtained research support from the University of New
   England through the International Postgraduate Research Award.
CR Adeba D, 2015, SUST WAT RESOUR MAN, V1, P71, DOI 10.1007/s40899-015-0006-7
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Ado AM, 2019, ENVIRON DEV SUSTAIN, V21, P2963, DOI 10.1007/s10668-018-0173-4
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Amenu, 2020, SNNPR AM J CLIMATIC, V1, P1, DOI [10.47672/ajcs.446, DOI 10.47672/AJCS.446]
   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
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Belachew O., 2015, AM J CLIMATE CHANGE, V4, P269, DOI [https://doi.org/10.4236/ajcc.2015.43022, DOI 10.4236/AJCC.2015.43022]
   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
   Chilot Yirga Tizale B, 2007, DYNAMICS SOIL DEGRAD
   Colls A., 2009, Ecosystem-based adaptation: a natural response to climate change
   Connolly-Boutin L, 2016, REG ENVIRON CHANGE, V16, P385, DOI 10.1007/s10113-015-0761-x
   Debela N, 2015, SPRINGERPLUS, V4, DOI 10.1186/s40064-015-1012-9
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Di Falco S, 2012, ENVIRON RESOUR ECON, V52, P457, DOI 10.1007/s10640-011-9538-y
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Edossa DC, 2010, WATER RESOUR MANAG, V24, P1441, DOI 10.1007/s11269-009-9508-0
   Falco, 2018, CLIMATE SMART AGR
   FAO & IHE Delft, 2020, FAO WAPOR WAT ACC RE
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gedefaw M, 2019, WATER-SUI, V11, DOI 10.3390/w11101966
   Gemeda DO, 2021, ENVIRON DEV SUSTAIN, V23, P5885, DOI 10.1007/s10668-020-00851-6
   Gezie M, 2019, COGENT FOOD AGR, V5, DOI 10.1080/23311932.2019.1613770
   Hailemarian K, 1999, CLIM RES, V12, P91, DOI 10.3354/cr012091
   Hameso S, 2018, CLIM DEV, V10, P347, DOI 10.1080/17565529.2017.1291408
   Harvatt J, 2011, J RISK RES, V14, P63, DOI 10.1080/13669877.2010.503935
   Hein Y, 2019, CLIMATE, V7, DOI 10.3390/cli7050064
   ISLAM MA, 2020, SCI TOTAL ENVIRON, V8674
   Kahsay HT, 2019, ADV METEOROL, V2019, DOI 10.1155/2019/3849210
   Kansiime MK, 2016, J RURAL STUD, V47, P220, DOI 10.1016/j.jrurstud.2016.08.004
   Kotir Julius H., 2011, Environment Development and Sustainability, V13, P587, DOI 10.1007/s10668-010-9278-0
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Mefcc, 2018, WAT MAN PROGR AW RIV
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Moroda GT, 2018, ENVIRON DEV, V27, P2, DOI 10.1016/j.envdev.2018.07.005
   PRETTY J, 2020, GLOB SUSTAIN, V323
   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]
   Sanogo K, 2017, AGROFOREST SYST, V91, P345, DOI 10.1007/s10457-016-9933-z
   Simane B., 2017, ADAPTATION BENEFITS
   Sissoko K, 2011, REG ENVIRON CHANGE, V11, pS119, DOI 10.1007/s10113-010-0164-y
   Tadese M, 2020, REMOTE SENS APPL, V19, DOI 10.1016/j.rsase.2020.100352
   Tadese M, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11090883
   Tadese MT, 2020, INT J CLIMATOL, V40, P3649, DOI 10.1002/joc.6418
   Tadese MT, 2019, HYDROLOGY-BASEL, V6, DOI 10.3390/hydrology6020035
   Talanow K, 2021, J RURAL STUD, V81, P203, DOI 10.1016/j.jrurstud.2020.10.026
   Taye MT, 2018, WATER-SUI, V10, DOI 10.3390/w10111560
   Tesfahunegn GB, 2016, APPL GEOGR, V73, P1, DOI 10.1016/j.apgeog.2016.05.009
   Tessema I, 2021, GEOJOURNAL, V86, P1767, DOI 10.1007/s10708-020-10159-7
   Nguyen TPL, 2019, J RURAL STUD, V67, P46, DOI 10.1016/j.jrurstud.2019.02.005
   Vignola R, 2009, MITIG ADAPT STRAT GL, V14, P691, DOI 10.1007/s11027-009-9193-6
   Zeleke G, 2017, ASIAN J EARTH SCI, V10, P22, DOI [DOI 10.3923/AJES.2017.22.32, 10.3923/ajes.2017.22.32]
   ,, 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 5
Z9 5
U1 3
U2 12
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1473-5903
EI 1747-762X
J9 INT J AGR SUSTAIN
JI Int. J. Agric. Sustain.
PD MAR 4
PY 2022
VL 20
IS 2
BP 231
EP 246
DI 10.1080/14735903.2021.1930738
EA MAY 2021
PG 16
WC Agriculture, Multidisciplinary; Green & Sustainable Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Science & Technology - Other Topics
GA 0A1MV
UT WOS:000655594300001
DA 2025-01-10
ER

PT J
AU Samuelson, HW
   Baniassadi, A
   Gonzalez, PI
AF Samuelson, Holly W.
   Baniassadi, Amir
   Gonzalez, Pablo Izaga
TI Beyond energy savings: Investigating the co-benefits of heat resilient
   architecture
SO ENERGY
LA English
DT Article
DE Energy efficiency; Resiliency to heat; Climate adaptation; Climate
   mitigation; Building energy analysis; Urban heat
ID URBAN HEAT; RESIDENTIAL BUILDINGS; EXTREME HEAT; ADAPTIVE CAPACITY;
   CLIMATE-CHANGE; MORTALITY; ISLAND; RISK; ADAPTATION; COMFORT
AB Heat is a growing concern in cities around the word, especially in the face of climate change. Because buildings are an important component of the built environment vis-a-vis both energy use and heat resiliency in cities, we explored their climate mitigation and adaptation potential. Specifically, we investigated how design decisions interact with regard to three heat-related factors-namely, energy use/CO2 emissions, passive survivability, and heat rejection to the urban climate. We selected an archetypical building as our test case, created various design permutations, and used whole-building simulations to analyze their performance. Our simulations show that permutations of the building with a smaller carbon footprint also emit less heat to ambient air and had a better passive survivability. However, we also noted potential trade-offs (e.g., where ventilation is inadequate, increasing insulation levels for energy efficiency may hurt passive survivability). Based on our findings, we argue that, at least at a policy level, it is imperative to take advantage of the synergies, and their collective benefits. Moreover, building regulations or incentive programs should look beyond energy as the sole performance metric of interest and consider passive survivability as well as thermal interactions with urban climate. (C) 2020 Elsevier Ltd. All rights reserved.
C1 [Samuelson, Holly W.; Baniassadi, Amir; Gonzalez, Pablo Izaga] Harvard Univ, Grad Sch Design, Cambridge, MA 02138 USA.
C3 Harvard University
RP Samuelson, HW (corresponding author), Harvard Univ, Grad Sch Design, Cambridge, MA 02138 USA.
EM hsamuelson@gsd.harvard.edu
RI Baniassadi, Amir/L-4965-2019; Samuelson, Holly/R-4831-2019
OI Samuelson, Holly/0000-0002-9088-7949; Izaga Gonzalez,
   Pablo/0000-0003-4309-4812
FU Harvard University Climate Change Solutions Fund
FX This research has been funded through The Harvard University Climate
   Change Solutions Fund.
CR Anderson M, 2013, PERSPECT PUBLIC HEAL, V133, P158, DOI 10.1177/1757913912453411
   [Anonymous], [No title captured]
   [Anonymous], 2011, US DEP ENERGY COMMER
   [Anonymous], 2017, Annual Energy Outlook
   [Anonymous], 2019, VULNERABILITY US RES
   [Anonymous], 2017, AM HOUS SURV
   [Anonymous], [No title captured]
   Ascione F, 2019, ENERGY, V174, P359, DOI 10.1016/j.energy.2019.02.182
   Baniassadi A, 2019, SOL ENERGY, V188, P190, DOI 10.1016/j.solener.2019.06.011
   Baniassadi A, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab28ba
   Baniassadi A, 2018, ENERG BUILDINGS, V178, P71, DOI 10.1016/j.enbuild.2018.08.048
   Baniassadi A, 2018, BUILD ENVIRON, V139, P86, DOI 10.1016/j.buildenv.2018.05.024
   Banting D., 2005, Report on the Environmental Benefits and Costs of Green Roof Technology for the City of Toronto
   BECP, 2017, STAT STAT EN COD AD
   Crawley DB, 2001, ENERG BUILDINGS, V33, P319, DOI 10.1016/S0378-7788(00)00114-6
   Dodoo A, 2016, ENERGY, V97, P534, DOI 10.1016/j.energy.2015.12.086
   EIA, 2015, RES EN CONS SURV
   Gagliano A, 2015, BUILD ENVIRON, V90, P71, DOI 10.1016/j.buildenv.2015.02.043
   Gamo Y, 2016, SCI REP-UK, V6, DOI 10.1038/srep25665
   Hayden MH, 2017, WEATHER CLIM SOC, V9, P787, DOI 10.1175/WCAS-D-16-0125.1
   Hayden MH, 2011, WEATHER CLIM SOC, V3, P269, DOI 10.1175/WCAS-D-11-00010.1
   Hayhoe K, 2010, J GREAT LAKES RES, V36, P65, DOI 10.1016/j.jglr.2009.12.009
   Holmes SH, 2016, BUILD RES INF, V44, P1, DOI 10.1080/09613218.2015.1033875
   Hondula DM, 2015, ENVIRON RES, V138, P439, DOI 10.1016/j.envres.2015.02.033
   Jiang AY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101688
   Keller RC, 2013, FR HIST STUD, V36, P299, DOI 10.1215/00161071-1960682
   KENNY B, 2018, TEMPERATURE, P1, DOI DOI 10.1007/978-3-319-69551-8_1
   Kingsborough A, 2017, CLIM RISK MANAG, V16, P73, DOI 10.1016/j.crm.2017.01.001
   Klepeis NE, 2001, J EXPO ANAL ENV EPID, V11
   Krayenhoff ES, 2018, NAT CLIM CHANGE, V8, P1097, DOI 10.1038/s41558-018-0320-9
   Li X, 2019, ENERGY
   Macintyre HL, 2019, ENVIRON INT, V127, P430, DOI 10.1016/j.envint.2019.02.065
   MacNaughton P, 2018, J EXPO SCI ENV EPID, V28, P307, DOI 10.1038/s41370-017-0014-9
   Mavrogianni A, 2015, BUILD RES INF, V43, P316, DOI 10.1080/09613218.2015.991515
   McCarthy MP, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL042845
   McLeod RS, 2013, BUILD ENVIRON, V70, P189, DOI 10.1016/j.buildenv.2013.08.024
   Mukherjee S, 2018, DATA BRIEF, V19, P2079, DOI 10.1016/j.dib.2018.06.067
   Nahlik M. J, 2016, J INFRASTRUCT SYST
   Naughton MP, 2002, AM J PREV MED, V22, P221, DOI 10.1016/S0749-3797(02)00421-X
   O'Lenick CR, 2019, SCI TOTAL ENVIRON, V660, P715, DOI 10.1016/j.scitotenv.2019.01.002
   O'Neill MS, 2005, J URBAN HEALTH, V82, P191, DOI 10.1093/jurban/jti043
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Paris DE, 2005, J PERFORM CONSTR FAC, V19, P138, DOI 10.1061/(asce)0887-3828(2005)19:2(138)
   Pérez-Andreu V, 2018, ENERGY, V165, P63, DOI 10.1016/j.energy.2018.09.015
   Porritt SM, 2012, ENERG BUILDINGS, V55, P16, DOI 10.1016/j.enbuild.2012.01.043
   Prado RTA, 2005, ENERG BUILDINGS, V37, P295, DOI 10.1016/j.enbuild.2004.03.009
   Ramakrishnan S, 2017, APPL ENERG, V207, P654, DOI 10.1016/j.apenergy.2017.05.144
   Ren ZG, 2014, ARCHIT SCI REV, V57, P227, DOI 10.1080/00038628.2014.903568
   Ricke K, 2018, NAT CLIM CHANGE, V8, P895, DOI 10.1038/s41558-018-0282-y
   Roberts D., 2012, National residential efficiency measures database aimed at reducing risk for residential retrofit industry
   Sailor DJ, 2019, ENV RES LETT
   Salamanca F, 2014, J GEOPHYS RES-ATMOS, V119, P5949, DOI 10.1002/2013JD021225
   Samuelson H, 2016, BUILD ENVIRON, V101, P19, DOI 10.1016/j.buildenv.2016.02.018
   Santamouris M, 2014, ENERG BUILDINGS, V82, P100, DOI 10.1016/j.enbuild.2014.07.022
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Seo M, 2012, EUR PSYCHIAT, V27
   Shen H, 2011, ENERG BUILDINGS, V43, P573, DOI 10.1016/j.enbuild.2010.10.024
   Shi LY, 2019, ENERGY, V189, DOI 10.1016/j.energy.2019.116208
   Chvatal KMS, 2009, J BUILD PERFORM SIMU, V2, P267, DOI 10.1080/19401490903095865
   Taylor J, 2015, URBAN CLIM, V14, P517, DOI 10.1016/j.uclim.2015.08.001
   Uemoto KL, 2010, ENERG BUILDINGS, V42, P17, DOI 10.1016/j.enbuild.2009.07.026
   Urban Bryan., 2010, Guidelines for Selecting Cool Roofs v. 1.2
   van Hooff T, 2016, ENERGY, V94, P811, DOI 10.1016/j.energy.2015.11.036
   Yang T, 2017, ENERGY, V128, P208, DOI 10.1016/j.energy.2017.03.098
   Zinzi M, 2012, ENERG BUILDINGS, V55, P66, DOI 10.1016/j.enbuild.2011.09.024
NR 66
TC 19
Z9 21
U1 0
U2 20
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-5442
EI 1873-6785
J9 ENERGY
JI Energy
PD AUG 1
PY 2020
VL 204
AR 117886
DI 10.1016/j.energy.2020.117886
PG 10
WC Thermodynamics; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels
GA MA9VG
UT WOS:000542257800008
DA 2025-01-10
ER

PT J
AU LaBarbera, K
   Marsh, KJ
   Hayes, KRR
   Hammond, TT
AF LaBarbera, Katie
   Marsh, Kyle J.
   Hayes, Kia R. R.
   Hammond, Talisin T.
TI Context-dependent effects of relative temperature extremes on bill
   morphology in a songbird
SO ROYAL SOCIETY OPEN SCIENCE
LA English
DT Article
DE Allen's rule; climate adaptation; environmental extremes;
   thermoregulation
ID DARK-EYED JUNCOS; CLIMATE-CHANGE; WINTER TEMPERATURE; SIZE VARIATION;
   EVOLUTION; HEAT; THERMOREGULATION; INCREASES; MORTALITY; RESPONSES
AB Species increasingly face environmental extremes. Morphological responses to changes in average environmental conditions are well documented, but responses to environmental extremes remain poorly understood. We used museum specimens to investigate relationships between a thermoregulatory morphological trait, bird bill surface area (SA) and a measure of short-term relative temperature extremity (RTE), which quantifies the degree that temperature maxima or minima diverge from the 5-year norm. Using a widespread, generalist species, Junco hyemalis, we found that SA exhibited different patterns of association with RTE depending on the overall temperature regime and on precipitation. While thermoregulatory function predicts larger SA at higher RTE, we found this only when the RTE existed in an environmental context that opposed it: atypically cold minimum temperature in a warm climate, or atypically warm maximum temperature in a cool climate. When environmental context amplified the RTE, we found a negative relationship between SA and RTE. We also found that the strength of associations between SA and RTE increased with precipitation. Our results suggest that trait responses to environmental variation may qualitatively differ depending on the overall environmental context, and that environmental change that extremifies already-extreme environments may produce responses that cannot be predicted from observations in less-extreme contexts.
C1 [LaBarbera, Katie; Hayes, Kia R. R.; Hammond, Talisin T.] Univ Calif Berkeley, Museum Vertebrate Zool, Dept Integrat Biol, Berkeley, CA 94720 USA.
   [Marsh, Kyle J.] Point Blue Conservat Sci, 3820 Cypress Dr,Ste 11, Petaluma, CA 94954 USA.
   [LaBarbera, Katie] Univ Minnesota, Coll Biol Sci Ecol Bldg, Dept Ecol Evolut & Behav, Falcon Hts, MN 55108 USA.
   [Hammond, Talisin T.] San Diego Zoo Inst Conservat Res, 15600 San Pasqual Valley Rd, Escondido, CA 92027 USA.
C3 University of California System; University of California Berkeley;
   University of Minnesota System; Zoological Society of San Diego
RP LaBarbera, K (corresponding author), Univ Calif Berkeley, Museum Vertebrate Zool, Dept Integrat Biol, Berkeley, CA 94720 USA.; LaBarbera, K (corresponding author), Univ Minnesota, Coll Biol Sci Ecol Bldg, Dept Ecol Evolut & Behav, Falcon Hts, MN 55108 USA.
EM klabarbe@umn.edu
FU Grand Challenges in Biology Postdoctoral Fellowship from the University
   of Minnesota; NSF Postdoctoral Fellowship
FX A Grand Challenges in Biology Postdoctoral Fellowship from the
   University of Minnesota to K.L. and an NSF Postdoctoral Fellowship to
   T.T.H.
CR Abzhanov A, 2006, NATURE, V442, P563, DOI 10.1038/nature04843
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   [Anonymous], 2002, BIRDS N AM
   [Anonymous], THESIS
   [Anonymous], 2018, R LANG ENV STAT COMP
   BAKKEN GS, 1991, PHYSIOL ZOOL, V64, P1023, DOI 10.1086/physzool.64.4.30157955
   Ballentine B, 2013, ANIM BEHAV, V86, P467, DOI 10.1016/j.anbehav.2013.06.002
   Benedetti-Cecchi L, 2006, ECOLOGY, V87, P2489, DOI 10.1890/0012-9658(2006)87[2489:TVRTIO]2.0.CO;2
   Brown CR, 2013, J EVOLUTION BIOL, V26, P1129, DOI 10.1111/jeb.12130
   Burness G, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1436
   Carr JM, 2012, BEHAV ECOL, V23, P434, DOI 10.1093/beheco/arr208
   CHANDLER CR, 1994, ANIM BEHAV, V47, P1445, DOI 10.1006/anbe.1994.1191
   Danner RM, 2017, AUK, V134, P65, DOI 10.1642/AUK-16-107.1
   Danner RM, 2015, J BIOGEOGR, V42, P114, DOI 10.1111/jbi.12389
   Decker KL, 2009, CONDOR, V111, P392, DOI 10.1525/cond.2009.080055
   Friedman NR, 2017, EVOLUTION, V71, P2120, DOI 10.1111/evo.13274
   Gardner JL, 2014, GLOBAL CHANGE BIOL, V20, P2062, DOI 10.1111/gcb.12507
   Gardner JL., 2016, Climate Change Responses, V3, P1
   Gaston AJ, 2002, IBIS, V144, P185, DOI 10.1046/j.1474-919X.2002.00038.x
   GRANT BR, 1993, P ROY SOC B-BIOL SCI, V251, P111, DOI 10.1098/rspb.1993.0016
   Greenberg R, 2013, ECOL EVOL, V3, P389, DOI 10.1002/ece3.474
   Greenberg R, 2012, EVOLUTION, V66, P3825, DOI 10.1111/j.1558-5646.2012.01726.x
   Greenberg R, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040933
   Greenberg R, 2012, ECOGRAPHY, V35, P146, DOI 10.1111/j.1600-0587.2011.07002.x
   Gutschick VP, 2003, NEW PHYTOL, V160, P21, DOI 10.1046/j.1469-8137.2003.00866.x
   Herrel A, 2005, FUNCT ECOL, V19, P43, DOI 10.1111/j.0269-8463.2005.00923.x
   Holmes MW, 2016, MOL ECOL, V25, P864, DOI 10.1111/mec.13529
   Hoover DL, 2014, ECOLOGY, V95, P2646, DOI 10.1890/13-2186.1
   JANZEN DH, 1967, AM NAT, V101, P233, DOI 10.1086/282487
   Johnson LS, 2007, J ORNITHOL, V148, P9, DOI 10.1007/s10336-006-0092-2
   LaBarbera K, 2020, DRYAD DIGITAL REPOSI, DOI [10.5061/dryad.bp69043, DOI 10.5061/DRYAD.BP69043]
   LaBarbera K, 2017, EVOL ECOL, V31, P707, DOI 10.1007/s10682-017-9906-3
   Luther D, 2014, ECOL EVOL, V4, P699, DOI 10.1002/ece3.911
   McKechnie AE, 2010, BIOL LETTERS, V6, P253, DOI 10.1098/rsbl.2009.0702
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Miller CR, 2018, ECOL EVOL, V8, P4841, DOI 10.1002/ece3.4038
   Nakagawa S, 2013, METHODS ECOL EVOL, V4, P133, DOI 10.1111/j.2041-210x.2012.00261.x
   Parker BR, 2008, P NATL ACAD SCI USA, V105, P12927, DOI 10.1073/pnas.0806481105
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Reif J, 2010, FOLIA ZOOL, V59, P313
   Royer PD, 2011, J ECOL, V99, P714, DOI 10.1111/j.1365-2745.2011.01804.x
   Ryeland J, 2017, FUNCT ECOL, V31, P885, DOI 10.1111/1365-2435.12814
   Shiao MT, 2015, AUK, V132, P671, DOI 10.1642/AUK-15-10.1
   Smith MD, 2011, J ECOL, V99, P651, DOI 10.1111/j.1365-2745.2011.01833.x
   Symonds MRE, 2010, AM NAT, V176, P188, DOI 10.1086/653666
   Tattersall GJ, 2017, BIOL REV, V92, P1630, DOI 10.1111/brv.12299
   Tattersall GJ, 2009, SCIENCE, V325, P468, DOI 10.1126/science.1175553
   Thompson RM, 2013, ECOL LETT, V16, P799, DOI 10.1111/ele.12095
   Welbergen JA, 2008, P ROY SOC B-BIOL SCI, V275, P419, DOI 10.1098/rspb.2007.1385
NR 49
TC 10
Z9 13
U1 0
U2 5
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 APR 15
PY 2020
VL 7
IS 4
AR 192203
DI 10.1098/rsos.192203
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA LG0AZ
UT WOS:000527775000013
PM 32431895
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Nordén, B
   Rorstad, PK
   Magnér, J
   Götmark, F
   Löf, M
AF Norden, Bjorn
   Rorstad, Per Kristian
   Magner, Jakob
   Gotmark, Frank
   Lof, Magnus
TI The economy of selective cutting in recent mixed stands during
   restoration of temperate deciduous forest
SO SCANDINAVIAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE Biodiversity; ecosystem services; pre-adaptive climate strategy; release
   treatment; semi-open canopy; broadleaf forest; woodland restoration
ID LAND-USE; MANAGEMENT; WOODLAND; BIODIVERSITY; MORTALITY; HABITAT;
   MODELS; COSTS; SCALE
AB Forest cover is increasing in many regions due to spontaneous reforestation on abandoned pastures and fields. The resulting recent forests may need management to improve ecosystem quality, and this could possibly be combined with timber production in specific cases. Temperate deciduous (TD) trees have declined steeply during the past millennium, but some now increase in the recent forests, often mixed with Norway spruce. Removing spruce may benefit these trees and for example oak regeneration, flowering plants and pollination. The total area of forest suitable for restoration in Norway and Sweden is >100,000ha. We evaluate the cost of selective cutting based on 26 field trials, 13 in each country, and sales from the initial cutting on average just barely compensate for the costs. By resurveying plots from a parallel project in Sweden, we found that about half of the cut volume had regrown after 16 years, and a second thinning may be needed in the near future. Coarse woody debris (CWD) had increased by 78%, indicating increasingly natural conditions. We conclude that selective cutting in recent forests may be part of a strategy to reach restoration and sustainability goals, but that long-term incentives for landowners need to be developed.
C1 [Norden, Bjorn] Norwegian Inst Nat Res, Gaustadalleen 21, N-0349 Oslo, Norway.
   [Norden, Bjorn; Rorstad, Per Kristian] Norwegian Univ Life Sci, As, Norway.
   [Magner, Jakob; Gotmark, Frank] Univ Gothenburg, Dept Biol & Environm Sci, Gothenburg, Sweden.
   [Lof, Magnus] Swedish Univ Agr Sci, Southern Swedish Forest Res Ctr, Alnarp, Sweden.
C3 Norwegian Institute Nature Research; Norwegian University of Life
   Sciences; University of Gothenburg; Swedish University of Agricultural
   Sciences
RP Nordén, B (corresponding author), Norwegian Inst Nat Res, Gaustadalleen 21, N-0349 Oslo, Norway.
EM Bjorn.Norden@nina.no
RI Nordén, Björn/B-4956-2012
OI Norden, Bjorn/0000-0002-2739-9774
FU Norwegian Research Council [255043/E50]
FX This research was financed by the Norwegian Research Council, project
   TransForest [Grant Number 255043/E50].
CR [Anonymous], 2011, SASSTAT 93 USERS GUI
   [Anonymous], 2012, SKOGEN NORGE STAT SK
   [Anonymous], THESIS
   [Anonymous], 1995, Klimat, sjoar och vattendrag, Sveriges Nationalatlas
   Armsworth PR, 2014, ANN NY ACAD SCI, V1322, P61, DOI 10.1111/nyas.12455
   BenDor TK, 2015, RESTOR ECOL, V23, P209, DOI 10.1111/rec.12206
   Birch JC, 2010, P NATL ACAD SCI USA, V107, P21925, DOI 10.1073/pnas.1003369107
   Blignaut J, 2014, ANN NY ACAD SCI, V1322, P35, DOI 10.1111/nyas.12451
   Borset O., 1954, Meddelelser fra det Norske Skogsforsoksvesen, V12, P391
   BRAASTAD H, 1966, MEDD NOR SKOGFORSOK, V21, P23
   BRANTSEG A, 1967, MEDD NOR SKOGFORSOK, V22, P695
   Bryn A, 2013, SCAND J FOREST RES, V28, P81, DOI 10.1080/02827581.2012.689005
   Chazdon RL, 2008, SCIENCE, V320, P1458, DOI 10.1126/science.1155365
   Dwyer JM, 2018, RESTOR ECOL, V26, P97, DOI 10.1111/rec.12536
   Eid T, 2003, SCAND J FOREST RES, V18, P64, DOI 10.1080/0891060310002354
   Eid T, 2001, FOREST ECOL MANAG, V154, P69, DOI 10.1016/S0378-1127(00)00634-4
   EID T, 2016, 37 INA NORW U LIF SC
   FREMSTAD E, 1997, NINA TEMAHEFTE, V12, P1
   FRIDMAN J, 2018, FOREST STAT 2018 OFF
   GOTMARK F, 2010, SVENSK BOT TIDSKRI S, V104
   Götmark F, 2013, FOREST ECOL MANAG, V306, P292, DOI 10.1016/j.foreco.2013.06.014
   Gran O, 2019, BIODIVERS CONSERV, V28, P1451, DOI 10.1007/s10531-019-01736-5
   GRANHUS NA, 2016, SKOGFAKTA
   HAGBERG E, 1975, RAPPORTER UPPSATSER, V14
   HANNAH L, 1995, BIODIVERS CONSERV, V4, P128, DOI 10.1007/BF00137781
   Iftekhar MS, 2017, CONSERV BIOL, V31, P261, DOI 10.1111/cobi.12778
   JOHANSSON G, 2016, THESIS
   Kim T, 2014, ECOL ECON, V107, P122, DOI 10.1016/j.ecolecon.2014.07.029
   Kolk J, 2017, BIODIVERS CONSERV, V26, P735, DOI 10.1007/s10531-016-1271-y
   Leonardsson J, 2015, FOREST ECOL MANAG, V354, P1, DOI 10.1016/j.foreco.2015.07.004
   Leonardsson J, 2015, EUR J FOREST RES, V134, P199, DOI 10.1007/s10342-014-0843-1
   Lindbladh M, 2007, RESTOR ECOL, V15, P284, DOI 10.1111/j.1526-100X.2007.00211.x
   Lof M., 2012, A Goal-Oriented Approach to Forest Landscape Restoration, V16, P373, DOI [10.1007/978-94-007-5338-914, DOI 10.1007/978-94-007-5338-9_14, DOI 10.1007/978-94-007-5338-914]
   Lof M., 2010, Ecol. Bull., V53, P165
   Lof Magnus, 2016, International Journal of Biodiversity Science Ecosystem Services & Management, V12, P59, DOI 10.1080/21513732.2015.1120780
   Lunt ID, 2010, J BIOGEOGR, V37, P722, DOI 10.1111/j.1365-2699.2009.02255.x
   Meli P, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0171368
   Moen A., 1998, Nasjonalatlas for Norge: vegetasjon
   Nordén B, 2004, FOREST ECOL MANAG, V194, P235, DOI 10.1016/j.foreco.2004.02.043
   NORDEN B, 2015, 1168 NINA, P91
   Petersson LK, 2019, FOREST ECOL MANAG, V444, P299, DOI 10.1016/j.foreco.2019.04.037
   Sitzia T, 2010, FOREST ECOL MANAG, V259, P1354, DOI 10.1016/j.foreco.2010.01.048
   Spiecker H, 2004, EUR FOR INST RES REP, V18, P261
   Stanturf JA, 2005, RESTORATION BOREAL T
   Stanturf JA, 2014, FOREST ECOL MANAG, V331, P292, DOI 10.1016/j.foreco.2014.07.029
   SVERDRUPTHYGESO.A, 2011, 710 NINA, P47
   *SWED FOR AG, 2016, STAT 2016
   *SWED FOR AG, 2017, COSTS REV MEAS LARG
   *SWED OAK PROJ, 2019, BIOD BIOF EC MAN CLO
   Tomter SM, 2010, NATIONAL FOREST INVENTORIES: PATHWAYS FOR COMMON REPORTING, P411, DOI 10.1007/978-90-481-3233-1_26
   TONNBERG M, 2001, THESIS
   Vennesland B., 2013, RAPPORT SKOG LANDSKA, V14
   Venter O, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12558
   Vestjordet E., 1967, Meddelelser fra det Norske Skogsforsoksvesen, V22, P539
   Zerbe S, 2002, FOREST ECOL MANAG, V167, P27, DOI 10.1016/S0378-1127(01)00686-7
   2008, FOREST POLICY LINE T
NR 56
TC 6
Z9 7
U1 3
U2 18
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 0282-7581
EI 1651-1891
J9 SCAND J FOREST RES
JI Scand. J. Forest Res.
PD NOV 17
PY 2019
VL 34
IS 8
BP 709
EP 717
DI 10.1080/02827581.2019.1679876
EA OCT 2019
PG 9
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA JZ9IQ
UT WOS:000492100700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Makido, Y
   Hellman, D
   Shandas, V
AF Makido, Yasuyo
   Hellman, Dana
   Shandas, Vivek
TI Nature-Based Designs to Mitigate Urban Heat: The Efficacy of Green
   Infrastructure Treatments in Portland, Oregon
SO ATMOSPHERE
LA English
DT Article
DE urban heat; resilience; built environment; green infrastructure;
   nature-based solutions
ID LAND-SURFACE TEMPERATURE; BUILT ENVIRONMENT; WAVE IMPACTS; ISLAND;
   WEATHER; ASSOCIATION; VARIABILITY; STRATEGIES; PHOENIX; COMFORT
AB Urban heat is a growing environmental concern in cities around the world. The urban heat island effect, combined with warming effects of climate change, is likely to cause an increase in the frequency and intensity of extreme heat events. Alterations to the physical, built environment are a viable option for mitigating urban heat, yet few studies provide systematic guidance to practitioners for adapting diverse land uses. In this study, we examine the use of green infrastructure treatments to evaluate changes in ambient temperatures across diverse land uses in the city of Portland, Oregon. We apply ENVI-met((R)) microclimate modeling at the city-block scale specifically to determine what built environment characteristics are most associated with high temperatures, and the extent to which different physical designs reduce ambient temperature. The analysis included six green infrastructure interventions modeled across six different land-use types, and indicated the varying degrees to which approaches are effective. Results were inconsistent across landscapes, and showed that one mitigation solution alone would not significantly reduce extreme heat. These results can be used to develop targeted, climate- and landscape-specific cooling interventions for different land uses, which can help to inform and refine current guidance to achieve urban climate adaptation goals.
C1 [Makido, Yasuyo; Shandas, Vivek] Portland State Univ, Sch Urban Studies & Planning, Portland, OR 97201 USA.
   [Hellman, Dana] Portland State Univ, Sch Environm, Portland, OR 97201 USA.
C3 Portland State University; Portland State University
RP Shandas, V (corresponding author), Portland State Univ, Sch Urban Studies & Planning, Portland, OR 97201 USA.
EM ymakido@pdx.edu; dhellman@pdx.edu; vshandas@pdx.edu
OI Hellman, Dana/0000-0002-3798-0693
FU U.S. Forest Service's National Urban and Community Forestry Challenge
   Grant [17-DG-11132544-014]; National Science Foundation's Sustainable
   Research Network Grant [1444755]
FX This research was funded by the U.S. Forest Service's National Urban and
   Community Forestry Challenge Grant (No. 17-DG-11132544-014), and the
   National Science Foundation's Sustainable Research Network Grant (No.
   1444755).
CR Aflaki A, 2017, CITIES, V62, P131, DOI 10.1016/j.cities.2016.09.003
   Al-Hafiz B, 2017, PROCEDIA ENVIRON SCI, V38, P562, DOI 10.1016/j.proenv.2017.03.126
   Ali-Toudert F, 2006, BUILD ENVIRON, V41, P94, DOI 10.1016/j.buildenv.2005.01.013
   [Anonymous], WORLD URB PROSP 2014
   Åström DO, 2011, MATURITAS, V69, P99, DOI 10.1016/j.maturitas.2011.03.008
   Baldinelli G., 2015, INT C IM AN PROC
   Berardi U, 2014, APPL ENERG, V115, P411, DOI 10.1016/j.apenergy.2013.10.047
   Bruse M., 1999, STADTISCHEN STRUKTUR, DOI [10.23689/fidgeo-440, DOI 10.23689/FIDGEO-440]
   Burchfield RA, 2012, J PHYS ACT HEALTH, V9, P188, DOI 10.1123/jpah.9.2.188
   Charles SL, 2018, HOUS POLICY DEBATE, V28, P832, DOI 10.1080/10511482.2018.1469528
   City of Portland Bureau of Planning and Sustainability, BETT HOUS DES
   Cohen-Shacham E., NATURE BASED SOLUTIO
   Connors JP, 2013, LANDSCAPE ECOL, V28, P271, DOI 10.1007/s10980-012-9833-1
   Debbage N, 2015, COMPUT ENVIRON URBAN, V54, P181, DOI 10.1016/j.compenvurbsys.2015.08.002
   Dhainaut JF, 2004, CRIT CARE, V8, P1, DOI 10.1186/cc2404
   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
   Fraley C., 2007, J STAT SOFTW, V18, P1, DOI DOI 10.18637/JSS.V018.I06
   Gagge A.P., 1971, ASHRAE Transactions, V77, P247
   Gebhart K, 2014, TRANSPORTATION, V41, P1205, DOI 10.1007/s11116-014-9540-7
   GRAHAM JD, 1992, RISK ANAL, V12, P333, DOI 10.1111/j.1539-6924.1992.tb00684.x
   Gronlund CJ, 2014, ENVIRON HEALTH PERSP, V122, P1187, DOI 10.1289/ehp.1206132
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Hamdi R, 2008, INT J CLIMATOL, V28, P973, DOI 10.1002/joc.1598
   Hart M, 2009, THEOR APPL CLIMATOL, V95, P397, DOI 10.1007/s00704-008-0017-5
   Hayhoe K., 2018, OUR CHANGING CLIMATE, P72, DOI DOI 10.7930/NCA4.2018.CH2
   Höppe P, 1999, INT J BIOMETEOROL, V43, P71, DOI 10.1007/s004840050118
   Howard L., 1820, The Climate of London Deduced From Meteorological Observations, V1-3
   Huang GL, 2011, J ENVIRON MANAGE, V92, P1753, DOI 10.1016/j.jenvman.2011.02.006
   Huang M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041101
   IUCN, NAT BAS SOL
   Jun MJ, 2017, J URBAN PLAN DEV, V143, DOI 10.1061/(ASCE)UP.1943-5444.0000396
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Klinenberg E, 1999, THEOR SOC, V28, P239, DOI 10.1023/A:1006995507723
   Knowlton K, 2009, ENVIRON HEALTH PERSP, V117, P61, DOI 10.1289/ehp.11594
   Kong F, 2016, APPL ENERG, V183, P1428, DOI 10.1016/j.apenergy.2016.09.070
   Kuang WH, 2015, LANDSCAPE ECOL, V30, P357, DOI 10.1007/s10980-014-0128-6
   Kyriakodis GE, 2018, URBAN CLIM, V24, P326, DOI 10.1016/j.uclim.2017.02.002
   Lee H, 2016, LANDSCAPE URBAN PLAN, V148, P37, DOI 10.1016/j.landurbplan.2015.12.004
   Liu WB, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122324
   Liu YX, 2018, LANDSCAPE ECOL, V33, P1133, DOI 10.1007/s10980-018-0663-7
   Meehl GA, 2004, SCIENCE, V305, P994, DOI 10.1126/science.1098704
   Morakinyo TE, 2017, ENERG BUILDINGS, V145, P226, DOI 10.1016/j.enbuild.2017.03.066
   Mote PW, 2010, CLIMATIC CHANGE, V102, P29, DOI 10.1007/s10584-010-9848-z
   Naeem S, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7020038
   Ninan K., 2017, BUILDING CLIMATE RES
   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
   Peng LLH, 2013, ENERGIES, V6, P598, DOI 10.3390/en6020598
   Peng SS, 2012, ENVIRON SCI TECHNOL, V46, P696, DOI 10.1021/es2030438
   Radhi H, 2017, ENERG BUILDINGS, V135, P324, DOI 10.1016/j.enbuild.2016.11.048
   Santamouris M, 2017, SOL ENERGY, V154, P14, DOI 10.1016/j.solener.2016.12.006
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Santamouris M, 2011, SOL ENERGY, V85, P3085, DOI 10.1016/j.solener.2010.12.023
   SCHWARZ G, 1978, ANN STAT, V6, P461, DOI 10.1214/aos/1176344136
   Scott M, 2016, PLAN THEORY PRACT, V17, P267, DOI 10.1080/14649357.2016.1158907
   Seto K. C., 2009, URBANIZATION GLOBAL, V1, P89, DOI DOI 10.1016/j.cosust.2009.07.012
   Singhal A, 2014, TRANSPORT RES A-POL, V69, P379, DOI 10.1016/j.tra.2014.09.008
   Skelhorn C, 2014, LANDSCAPE URBAN PLAN, V121, P129, DOI 10.1016/j.landurbplan.2013.09.012
   Smoyer-Tomic KE, 2003, NAT HAZARDS, V28, P463
   Susca T, 2011, ENVIRON POLLUT, V159, P2119, DOI 10.1016/j.envpol.2011.03.007
   Takebayashi H, 2009, SOL ENERGY, V83, P1211, DOI 10.1016/j.solener.2009.01.019
   Taleghani M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/2/024003
   Taleghani M, 2014, BUILD ENVIRON, V73, P138, DOI 10.1016/j.buildenv.2013.12.006
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Upreti R, 2017, URBAN FOR URBAN GREE, V26, P18, DOI 10.1016/j.ufug.2017.05.008
   US Environmental Protection Agency, RED URB HEAT ISL COM
   Voelkel J, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040640
   Voelkel J, 2017, CLIMATE, V5, DOI 10.3390/cli5020041
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Xu XL, 2017, CHINESE GEOGR SCI, V27, P818, DOI 10.1007/s11769-017-0910-x
   Younger M, 2008, AM J PREV MED, V35, P517, DOI 10.1016/j.amepre.2008.08.017
   Zhang K, 2015, ENVIRON HEALTH-GLOB, V14, DOI 10.1186/1476-069X-14-11
   Zhang YZ, 2017, INFRARED PHYS TECHN, V86, P35, DOI 10.1016/j.infrared.2017.08.008
   Zhang YJ, 2017, LANDSCAPE URBAN PLAN, V165, P162, DOI 10.1016/j.landurbplan.2017.04.009
   Zhao JB, 2018, TRANSPORT RES A-POL, V111, P119, DOI 10.1016/j.tra.2018.03.001
NR 75
TC 34
Z9 38
U1 9
U2 95
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD MAY
PY 2019
VL 10
IS 5
AR 282
DI 10.3390/atmos10050282
PG 18
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 IE9EL
UT WOS:000472677600056
OA gold
DA 2025-01-10
ER

PT J
AU Shastri, H
   Barik, B
   Ghosh, S
   Venkataraman, C
   Sadavarte, P
AF Shastri, Hiteshri
   Barik, Beas
   Ghosh, Subimal
   Venkataraman, Chandra
   Sadavarte, Pankaj
TI Flip flop of Day-night and Summer-Winter Surface Urban Heat Island
   Intensity in India
SO SCIENTIFIC REPORTS
LA English
DT Article
ID TECHNOLOGY-LINKED INVENTORY; MULTI-POLLUTANT EMISSIONS; TRENDS;
   CONFIGURATION; TEMPERATURE; INDUSTRY; PHOENIX; CLIMATE; CHINA
AB The difference in land surface temperature (LST) between an urban region and its nearby non-urban region, known as surface urban heat island intensity (SUHII), is usually positive as reported in earlier studies. India has experienced unprecedented urbanization over recent decades with an urban population of 380 million. Here, we present the first study of the diurnal and seasonal characteristics of SUHII in India. We found negative SUHII over a majority of urban areas during daytime in pre-monsoon summer (MAM), contrary to the expected impacts of urbanization. This unexpected pattern is associated with low vegetation in non-urban regions during dry pre-monsoon summers, leading to reduced evapotranspiration (ET). During pre-monsoon summer nights, a positive SUHII occurs when urban impacts are prominent. Winter daytime SUHII becomes positive in Indo-Gangetic plain. We attribute such diurnal and seasonal behaviour of SUHII to the same of the differences in ET between urban and non-urban regions. Higher LST in non-urban regions during pre-monsoon summer days results in intensified heatwaves compared to heatwaves in cities, in contrast to presumptions made in the literature. These observations highlight the need for re-evaluation of SUHII in India for climate adaptation, heat stress mitigation, and analysis of urban micro-climates.
C1 [Shastri, Hiteshri; Barik, Beas; Ghosh, Subimal; Venkataraman, Chandra; Sadavarte, Pankaj] Indian Inst Technol, Interdisciplinary Program Climate Studies, Bombay 400076, Maharashtra, India.
   [Shastri, Hiteshri] Charotar Univ Sci & Technol, CS Patel Inst Technol, Anand 388421, Gujarat, India.
   [Barik, Beas; Ghosh, Subimal] Indian Inst Technol, Dept Civil Engn, Bombay 400076, Maharashtra, India.
   [Venkataraman, Chandra; Sadavarte, Pankaj] Indian Inst Technol, Chem Engn, Bombay 400076, Maharashtra, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Bombay; Charotar University of Science & Technology -
   Charusat; 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; Shastri, Hiteshri/AAH-1728-2020
OI Sadavarte, Pankaj/0000-0002-7337-683X; shastri,
   hiteshri/0000-0002-1831-2972
FU Department of Science and Technology, Government of India; Ministry of
   Water Resources, Government of India
FX The work presented here is financially supported by Department of
   Science and Technology and Ministry of Water Resources, Government of
   India.
CR Akimoto H, 2003, SCIENCE, V302, P1716, DOI 10.1126/science.1092666
   [Anonymous], 2014, WORLD URB PROSP 2014
   Bond TC, 2013, J GEOPHYS RES-ATMOS, V118, P5380, DOI 10.1002/jgrd.50171
   Census of India, 2011, CENS IND 2011 HOUS L
   Changnon SA, 2002, J AM WATER RESOUR AS, V38, P1467, DOI 10.1111/j.1752-1688.2002.tb04359.x
   Changnon SA., 1977, Summary of METROMEX, V62, P260
   Chestnut L.G., 1998, ENVIRON SCI POLICY, V1, P59, DOI [10.1016/S1462-9011(98)00015-X, DOI 10.1016/S1462-9011(98)00015-X]
   Connors JP, 2013, LANDSCAPE ECOL, V28, P271, DOI 10.1007/s10980-012-9833-1
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Friedl MA, 2002, REMOTE SENS ENVIRON, V83, P287, DOI 10.1016/S0034-4257(02)00078-0
   Gallo KP, 1999, J CLIMATE, V12, P1344, DOI 10.1175/1520-0442(1999)012<1344:TTOTUS>2.0.CO;2
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Hawkins TW, 2004, J APPL METEOROL, V43, P476, DOI 10.1175/1520-0450(2004)043<0476:TRORVI>2.0.CO;2
   Huff F.A., 1972, J. Appl. Meteor, V11, P823, DOI [DOI 10.1175/1520-0450(1972)011ANDLT;0823:CAOUEOANDGT;2.0.CO;2, 10.1175/1520-0450(1972)011andlt;0823:CAOUEOandgt;2.0.CO;2, 10.1175/1520-0450(1972)011<0823:caoueo>2.0.co;2]
   Hung T, 2006, INT J APPL EARTH OBS, V8, P34, DOI 10.1016/j.jag.2005.05.003
   Landsberg H. E., 1981, The urban climate
   LEE HY, 1993, ATMOS ENVIRON B-URB, V27, P1, DOI 10.1016/0957-1272(93)90041-4
   Lim YK, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024267
   Misra V, 2012, CLIM DYNAM, V39, P1149, DOI 10.1007/s00382-012-1319-y
   Nicholas C., 2013, REMOTE SENS ENVIRON, V134, P294
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Pandey A, 2014, ATMOS ENVIRON, V99, P341, DOI 10.1016/j.atmosenv.2014.09.080
   Peng SS, 2012, ENVIRON SCI TECHNOL, V46, P696, DOI 10.1021/es2030438
   Quan JL, 2014, REMOTE SENS ENVIRON, V149, P33, DOI 10.1016/j.rse.2014.03.037
   Ramanathan V, 2001, SCIENCE, V294, P2119, DOI 10.1126/science.1064034
   Ren GY, 2014, J CLIMATE, V27, P2340, DOI 10.1175/JCLI-D-13-00393.1
   Roth M, 2007, INT J CLIMATOL, V27, P1859, DOI 10.1002/joc.1591
   Rozenfeld HD, 2008, P NATL ACAD SCI USA, V105, P18702, DOI 10.1073/pnas.0807435105
   Saaroni H, 2000, LANDSCAPE URBAN PLAN, V48, P1, DOI 10.1016/S0169-2046(99)00075-4
   Sadavarte P, 2014, ATMOS ENVIRON, V99, P353, DOI 10.1016/j.atmosenv.2014.09.081
   Shah R, 2014, J HYDROMETEOROL, V15, P1575, DOI 10.1175/JHM-D-13-0103.1
   Shastri H., 2015, J GEOPH RES ATMOS, V120, P2169
   Shephard JM, 2005, EARTH INTERACT, V9
   Sherly MA, 2015, ANN ASSOC AM GEOGR, V105, P1198, DOI 10.1080/00045608.2015.1072792
   Stabler Linda B., 2005, Urban Forestry & Urban Greening, V3, P137, DOI 10.1016/j.ufug.2004.11.001
   Stott PA, 2004, NATURE, V432, P610, DOI 10.1038/nature03089
   Vitousek PM, 1997, SCIENCE, V277, P494, DOI 10.1126/science.277.5325.494
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Yang P, 2013, J APPL METEOROL CLIM, V52, P1803, DOI 10.1175/JAMC-D-12-0125.1
   Zhao L, 2014, NATURE, V511, P216, DOI 10.1038/nature13462
   Zhou B, 2013, GEOPHYS RES LETT, V40, P5486, DOI 10.1002/2013GL057320
   Zhou D., 2015, SCI REPORTS, V5
NR 42
TC 116
Z9 120
U1 0
U2 31
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JAN 9
PY 2017
VL 7
AR 40178
DI 10.1038/srep40178
PG 8
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA EH4RY
UT WOS:000391759500001
PM 28067276
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Vonk, E
   Xu, YP
   Booij, MJ
   Zhang, X
   Augustijn, DCM
AF Vonk, E.
   Xu, Y. P.
   Booij, M. J.
   Zhang, X.
   Augustijn, D. C. M.
TI Adapting Multireservoir Operation to Shifting Patterns of Water Supply
   and Demand
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Reservoir operation; Multi-objective genetic algorithm; WEAP;
   Multireservoir system; Climate adaptation; Scenario analysis
ID RESERVOIR OPERATION; GENETIC ALGORITHM; CLIMATE-CHANGE; RIVER-BASIN;
   MODEL; OPTIMIZATION; SIMULATION; RESOURCES; RULES; RAINFALL
AB The aim of this study is to determine whether dam reoperation (the adjustment of reservoir operating rules) is an effective adaptation strategy to reduce the potential impacts of climate change and regional socio-economic developments. The Xinanjiang-Fuchunjiang reservoir cascade, located in Hangzhou Region (China), is selected as case study. We use a scenario-based approach to explore the effects of various likely degrees of water stress for the future period between 2011 and 2040, which are compared to the control period from 1971 to 2000. The scenario impacts are simulated with the WEAP water allocation model, which is interlinked with the NSGA-II metaheuristic algorithm in order to derive optimal operating rules adapted to each scenario. Reservoir performance is measured with the Shortage Index (SI) and Mean Annual Energy Production (MAEP). For the investigated scenarios, adapted operating rules on average reduce the SI with 84 % and increase the MAEP with 6.4 % (compared to the projected future performance of conventional operation). Based on the optimization results, we conclude that for the studied case dam reoperation is an effective adaptation strategy to reduce the impact of changing patterns of water supply and demand, even though it is insufficient to completely restore system performance to that of the control period.
C1 [Vonk, E.; Booij, M. J.; Augustijn, D. C. M.] Univ Twente, Dept Water Engn & Management, NL-7522 NB Enschede, Netherlands.
   [Xu, Y. P.; Zhang, X.] Zhejiang Univ, Inst Hydrol & Water Resources, Hangzhou 310058, Zhejiang, Peoples R China.
C3 University of Twente; Zhejiang University
RP Augustijn, DCM (corresponding author), Univ Twente, Dept Water Engn & Management, POB 217, NL-7522 NB Enschede, Netherlands.
EM yuepingxu@zju.edu.cn; d.c.m.augustijn@utwente.nl
RI Xu, Yueping/ITV-6646-2023; Booij, Martijn/C-7753-2011
OI Booij, Martijn/0000-0001-6208-9045; Xu, Yue-Ping/0000-0002-3259-5593
FU International Science and Technology Cooperation Program of China
   [2010DFA24320]
FX This project was partially supported by the International Science and
   Technology Cooperation Program of China (Grant No. 2010DFA24320). The
   authors would like to thank Ma Chong for data collection, Zhu Qian for
   rainfall-runoff modelling and the operators of Xinanjiang Reservoir and
   Fuchunjiang Reservoir for their data provision.
CR Allen R.G., 1998, FAO Irrigation and Drainage Paper
   [Anonymous], PATTERN SUSTAINABILI
   [Anonymous], WEAP WAT EV PLANN SY
   [Anonymous], RESERVOIR ENG GUIDEL
   [Anonymous], 2007, SYNTHESIS REPORT CON
   Chang FJ, 2005, HYDROL PROCESS, V19, P2277, DOI 10.1002/hyp.5674
   Chang LC, 2009, J HYDROL, V377, P12, DOI 10.1016/j.jhydrol.2009.07.061
   Chen L, 2007, ADV WATER RESOUR, V30, P1082, DOI 10.1016/j.advwatres.2006.10.001
   Chou FNF, 2013, WATER RESOUR MANAG, V27, P665, DOI 10.1007/s11269-012-0208-9
   CNKI, 2013, CHIN EC SOC STAT DAT
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Deltares, 2013, RIB
   Fu X, 2011, COMPUT MATH APPL, V62, P2463, DOI 10.1016/j.camwa.2011.07.032
   Gordon C, 2000, CLIM DYNAM, V16, P147, DOI 10.1007/s003820050010
   Hangzhou Bureau of Forestry & Water Conservancy, 2007, HANGZH WAT RES B
   Hangzhou Bureau of Forestry & Water Conservancy, 2006, HANGZH WAT RES B
   Hangzhou Bureau of Forestry & Water Conservancy, 2008, HANGZH WAT RES B
   Hurkmans R, 2010, J CLIMATE, V23, P679, DOI 10.1175/2009JCLI3066.1
   Ines AVM, 2006, AGR FOREST METEOROL, V138, P44, DOI 10.1016/j.agrformet.2006.03.009
   KARAMOUZ M, 1992, J WATER RES PL-ASCE, V118, P71, DOI 10.1061/(ASCE)0733-9496(1992)118:1(71)
   Kumar DN, 2007, J WATER RES PLAN MAN, V133, P192, DOI 10.1061/(ASCE)0733-9496(2007)133:3(192)
   Kumar S, 2007, INT J ELEC POWER, V29, P738, DOI 10.1016/j.ijepes.2007.06.001
   Labadie JW, 2004, J WATER RES PLAN MAN, V130, P93, DOI 10.1061/(ASCE)0733-9496(2004)130:2(93)
   Leander R, 2007, J HYDROL, V332, P487, DOI 10.1016/j.jhydrol.2006.08.006
   Li XG, 2008, WATER RESOUR MANAG, V22, P1031, DOI 10.1007/s11269-007-9209-5
   Liu P, 2011, WATER RESOUR MANAG, V25, P3177, DOI 10.1007/s11269-011-9851-9
   Minville M, 2010, J WATER RES PLAN MAN, V136, P376, DOI 10.1061/(ASCE)WR.1943-5452.0000041
   Minville M, 2009, WATER RESOUR MANAG, V23, P2965, DOI 10.1007/s11269-009-9418-1
   Oliveira R, 1997, WATER RESOUR RES, V33, P839, DOI 10.1029/96WR03745
   Ostadrahimi L, 2012, WATER RESOUR MANAG, V26, P407, DOI 10.1007/s11269-011-9924-9
   Payne JT, 2004, CLIMATIC CHANGE, V62, P233, DOI 10.1023/B:CLIM.0000013694.18154.d6
   Perrin C, 2003, J HYDROL, V279, P275, DOI 10.1016/S0022-1694(03)00225-7
   Raje D, 2010, ADV WATER RESOUR, V33, P312, DOI 10.1016/j.advwatres.2009.12.008
   Rani D, 2010, WATER RESOUR MANAG, V24, P1107, DOI 10.1007/s11269-009-9488-0
   Schumann AH, 1995, IAHS-AISH P, P291
   The World Bank, 2013, GDP DEFL
   Tung CP, 2003, J AM WATER RESOUR AS, V39, P649, DOI 10.1111/j.1752-1688.2003.tb03682.x
   US Army Corps of Engineers, 2013, HEC RESSIM
   US Army Corps of Engineers, 1997, HYDR ENG REQ RES
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   Wada Y, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009792
   Wang Q, 2010, CHINA FILES CHINESE
   Xu YP, 2012, HYDROL PROCESS, V26, P4067, DOI 10.1002/hyp.9210
   Yin XA, 2010, HYDROL PROCESS, V24, P461, DOI 10.1002/hyp.7498
NR 44
TC 29
Z9 31
U1 2
U2 58
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 FEB
PY 2014
VL 28
IS 3
BP 625
EP 643
DI 10.1007/s11269-013-0499-5
PG 19
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA AB5KQ
UT WOS:000331827700003
DA 2025-01-10
ER

PT J
AU Etterson, JR
   Cornett, MW
   White, MA
   Kavajecz, LC
AF Etterson, Julie R.
   Cornett, Meredith W.
   White, Mark A.
   Kavajecz, Laura C.
TI Assisted migration across fixed seed zones detects adaptation lags in
   two major North American tree species
SO ECOLOGICAL APPLICATIONS
LA English
DT Article
DE adaptation lag; assisted migration; boreal forest; climate adaptation;
   phenology; population differentiation; Quercus macrocarpa; Quercus
   rubra; seed zone
ID YELLOW-POPLAR SEEDLINGS; LEAF-OUT PHENOLOGY; CLIMATE-CHANGE;
   QUERCUS-MACROCARPA; GENE FLOW; RED-OAK; TRANSFER GUIDELINES; FOREST
   MANAGEMENT; DORMANCY RELEASE; WHITE SPRUCE
AB Boreal forests are experiencing dramatic climate change, having warmed 1.0 degrees-1.9 degrees C over the last century. Yet forest regeneration practices are often still dictated by a fixed seed zone framework, in which seeds are both harvested from and planted into predefined areas. Our goal was to determine whether seedlings sourced from southern seed zones in Minnesota USA are already better adapted to northerly seed zones because of climate change. Bur oak (Quercus macrocarpa) and northern red oak (Quercus rubra) seedlings from two seed zones (i.e., tree ecotypes) were planted into 16 sites in two northern seed zones and measured for 3 yr. Our hypotheses were threefold: (1) tree species with more southern geographic distributions would thrive in northern forests where climate has already warmed substantially, (2) southern ecotypes of these species would have higher survival and growth than the northern ecotype in northern environments, and (3) natural selection would favor seedlings that expressed phenotypic and phenological traits characteristic of trees sourced from the more southern seed zone. For both species, survival was high (>93%), and southern ecotypes expressed traits consistent with our climate adaptation hypotheses. Ecotypic differences were especially evident for red oak; the southern ecotype had had higher survival, lower specific leaf area (SLA), faster height and diameter growth, and extended leaf phenology relative to the northern ecotype. Bur oak results were weaker, but the southern ecotype also had earlier budburst and lower SLA than the northern ecotype. Models based on the fixed seed zones failed to explain seedling performance as well as those with continuous predictors (e.g., climate and geographical position), suggesting that plant adaptations within current seed zone delineations do align with changing climate conditions. Adding support for this conclusion, natural selection favored traits expressed by the more southern tree ecotypes. Collectively, these results suggest that state seed sourcing guidelines should be reexamined to permit plantings across seed zones, a form of assisted migration. More extensive experiments (i.e., provenance trails) are necessary to make species-specific seed transfer guidelines that account for climate trends while also considering the precise geographic origin of seed sources.
C1 [Etterson, Julie R.; Kavajecz, Laura C.] Univ Minnesota Duluth, Dept Biol, Duluth, MN 55812 USA.
   [Cornett, Meredith W.; White, Mark A.] Nat Conservancy Minnesota, Duluth, MN 55802 USA.
C3 University of Minnesota System; University of Minnesota Duluth;
   University of Minnesota Twin Cities; University of Minnesota Hospital;
   Nature Conservancy
RP Etterson, JR (corresponding author), Univ Minnesota Duluth, Dept Biol, Duluth, MN 55812 USA.
EM jetterso@d.umn.edu
RI Cornett, Meredith/G-7705-2014
OI Cornett, Meredith/0000-0002-4732-7655
FU Wildlife Conservation Society Climate Adaptation Fund; Nature
   Conservancy through the Cox Family Fund for Science and Research;
   Carolyn M. Crosby Foundation; Integrated Biosciences Program at the
   University of Minnesota-Duluth
FX Experimental plantings were funded by a grant from the Wildlife
   Conservation Society Climate Adaptation Fund to M. W. Cornett, M. A.
   White, and J. R. Etterson, originating from the Doris Duke Charitable
   Foundation. Additional financial support for this work was generously
   provided by The Nature Conservancy through the Cox Family Fund for
   Science and Research, and the Carolyn M. Crosby Foundation. S. Handler,
   C. Swanston and K. Hall provided invaluable advice in conceptualizing
   and designing the project. We thank the Integrated Biosciences Program
   at the University of Minnesota-Duluth for support to L. Kavajecz. We
   thank C. Dunham for planting coordination and field operations. J. Mead,
   A. Tse, D. Myhre, D. Thiel, B. Cogger, R. Sullivan, and K. Campbell
   provided field assistance. R. Sagar assisted with spatial data
   preparation and field measurements. B. Gross and B. Palik reviewed
   earlier drafts of this manuscript and provided invaluable insights for
   refinements. We thank the Superior National Forest, the Minnesota
   Department of Natural Resources Division of Forestry, Saint Louis
   County, and Lake County for the permission to locate experimental
   plantings on their lands.
CR ABRAMS MD, 1994, TREE PHYSIOL, V14, P833, DOI 10.1093/treephys/14.7-8-9.833
   Adams HD, 2009, P NATL ACAD SCI USA, V106, P7063, DOI 10.1073/pnas.0901438106
   Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Andalo C, 2005, FOREST ECOL MANAG, V205, P169, DOI 10.1016/j.foreco.2004.10.045
   [Anonymous], 2008, Plant Physiological Ecology
   [Anonymous], STAFF PAPER SERIES
   [Anonymous], 2014, Climate change atlas
   [Anonymous], 2004, RMRSGTR134 USDA FOR
   Aranda I, 2007, TREE PHYSIOL, V27, P671, DOI 10.1093/treephys/27.5.671
   Barber VA, 2000, NATURE, V405, P668, DOI 10.1038/35015049
   Basler D, 2012, AGR FOREST METEOROL, V165, P73, DOI 10.1016/j.agrformet.2012.06.001
   Bauweraerts I, 2013, GLOBAL CHANGE BIOL, V19, P517, DOI 10.1111/gcb.12044
   Benito-Garzón M, 2013, RESTOR ECOL, V21, P530, DOI 10.1111/rec.12032
   Boulanger Y, 2017, LANDSCAPE ECOL, V32, P1415, DOI 10.1007/s10980-016-0421-7
   Bower AD, 2008, AM J BOT, V95, P66, DOI 10.3732/ajb.95.1.66
   BRODIE ED, 1995, TRENDS ECOL EVOL, V10, P313, DOI 10.1016/S0169-5347(00)89117-X
   Burns RM., 1990, Agriculture Handbook, V654
   Chakraborty D, 2019, ECOGRAPHY, V42, P88, DOI 10.1111/ecog.03888
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   Cleland David T., 1997, P181
   CORNELIUS J, 1994, FOREST ECOL MANAG, V67, P23, DOI 10.1016/0378-1127(94)90004-3
   Craft KJ, 2007, FOREST ECOL MANAG, V239, P13, DOI 10.1016/j.foreco.2006.11.005
   Craft KJ, 2010, AM J BOT, V97, P1999, DOI 10.3732/ajb.0900390
   Crowe KA, 2005, CAN J FOREST RES, V35, P1173, DOI 10.1139/X05-041
   D'Amato AW, 2011, FOREST ECOL MANAG, V262, P803, DOI 10.1016/j.foreco.2011.05.014
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Danner BT, 2001, TREES-STRUCT FUNCT, V15, P271, DOI 10.1007/s004680100103
   Daudet FA, 2005, J EXP BOT, V56, P135, DOI 10.1093/jxb/eri026
   Drunasky Nicholas, 2005, Urban Forestry & Urban Greening, V4, P13, DOI 10.1016/j.ufug.2005.07.001
   Duveneck MJ, 2014, CAN J FOREST RES, V44, P700, DOI 10.1139/cjfr-2013-0391
   Duveneck MJ, 2014, ECOSPHERE, V5, DOI 10.1890/ES13-00370.1
   Etterson JR, 2004, EVOLUTION, V58, P1446, DOI 10.1111/j.0014-3820.2004.tb01726.x
   ETTERSON JR, 2018, TREE PLANTERS NOTES, V61, P89
   Fisichelli N, 2014, OIKOS, V123, P1331, DOI 10.1111/oik.01349
   Fisichelli NA, 2014, ECOGRAPHY, V37, P152, DOI 10.1111/j.1600-0587.2013.00197.x
   Fox RJ, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0174
   Frank A, 2017, GLOBAL CHANGE BIOL, V23, P5358, DOI 10.1111/gcb.13802
   Frelich LE, 2010, FRONT ECOL ENVIRON, V8, P371, DOI 10.1890/080191
   Gailing O, 2012, PLANT SYST EVOL, V298, P1533, DOI 10.1007/s00606-012-0656-y
   Gamache I, 2004, J ECOL, V92, P835, DOI 10.1111/j.0022-0477.2004.00913.x
   Garcia M, 2016, J GEOPHYS RES-ATMOS, V121, P13364, DOI 10.1002/2016JD025190
   Gauthier S, 2015, SCIENCE, V349, P819, DOI 10.1126/science.aaa9092
   Ghelardini L, 2010, TREE PHYSIOL, V30, P264, DOI 10.1093/treephys/tpp110
   Gray LK, 2011, ECOL APPL, V21, P1591, DOI 10.1890/10-1054.1
   Gunderson CA, 2012, GLOBAL CHANGE BIOL, V18, P2008, DOI 10.1111/j.1365-2486.2011.02632.x
   Gunderson CA, 2010, GLOBAL CHANGE BIOL, V16, P2272, DOI 10.1111/j.1365-2486.2009.02090.x
   Guyette RP, 2004, FOREST ECOL MANAG, V198, P183, DOI 10.1016/j.foreco.2004.04.016
   Hale CM, 2006, ECOLOGY, V87, P1637, DOI 10.1890/0012-9658(2006)87[1637:CIHFUP]2.0.CO;2
   Hamann A, 2011, TREE GENET GENOMES, V7, P399, DOI 10.1007/s11295-010-0341-7
   Hamerlynck E, 1996, TREE PHYSIOL, V16, P557
   HAMERLYNCK EP, 1994, FOREST ECOL MANAG, V68, P149, DOI 10.1016/0378-1127(94)90042-6
   Heide OM, 2005, ARCT ANTARCT ALP RES, V37, P233, DOI 10.1657/1523-0430(2005)037[0233:EVAEAA]2.0.CO;2
   HEIDE OM, 1993, PHYSIOL PLANTARUM, V89, P187, DOI 10.1111/j.1399-3054.1993.tb01804.x
   HEIDE OM, 1993, PHYSIOL PLANTARUM, V88, P531, DOI 10.1111/j.1399-3054.1993.tb01368.x
   HEIDE OM, 1974, PHYSIOL PLANTARUM, V30, P1, DOI 10.1111/j.1399-3054.1974.tb04983.x
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Ibáñez I, 2010, PHILOS T R SOC B, V365, P3247, DOI 10.1098/rstb.2010.0120
   Isaac-Renton MG, 2014, GLOBAL CHANGE BIOL, V20, P2607, DOI 10.1111/gcb.12604
   Iverson LR, 2008, FOREST ECOL MANAG, V254, P390, DOI 10.1016/j.foreco.2007.07.023
   IVERSON LR, 1999, NE265 US DEP AGR FOR
   Jump AS, 2017, GLOBAL CHANGE BIOL, V23, P3742, DOI 10.1111/gcb.13636
   Körner C, 2010, SCIENCE, V327, P1461, DOI 10.1126/science.1186473
   KOLB TE, 1990, FOREST ECOL MANAG, V38, P65, DOI 10.1016/0378-1127(90)90086-Q
   KOLB TE, 1990, FOREST SCI, V36, P34
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   Laliberté E, 2008, ANN FOREST SCI, V65, DOI 10.1051/forest:2008019
   LAMBERS H, 1992, ADV ECOL RES, V23, P187, DOI 10.1016/S0065-2504(08)60148-8
   Laube J, 2014, NEW PHYTOL, V202, P350, DOI 10.1111/nph.12680
   Lee TD, 2005, FUNCT ECOL, V19, P640, DOI 10.1111/j.1365-2435.2005.01023.x
   Leech SM., 2011, BC J ECOSYSTEMS MANA, V12, P18
   Lenormand T, 2002, TRENDS ECOL EVOL, V17, P183, DOI 10.1016/S0169-5347(02)02497-7
   Lesser MR, 2006, CAN J FOREST RES, V36, P1572, DOI 10.1139/X06-047
   Lindgren D, 2000, NEW FOREST, V20, P87, DOI 10.1023/A:1006708213824
   Liu H, 2012, BIOL CONSERV, V150, P68, DOI 10.1016/j.biocon.2012.02.018
   Lockwood JL, 1997, OIKOS, V80, P549, DOI 10.2307/3546628
   Loya-Rebollar E, 2013, SILVAE GENET, V62, P86, DOI 10.1515/sg-2013-0011
   Lunt ID, 2013, BIOL CONSERV, V157, P172, DOI 10.1016/j.biocon.2012.08.034
   Lynch Michael, 1998
   McKenney D, 2009, FOREST CHRON, V85, P258, DOI 10.5558/tfc85258-2
   McKibben B, 2014, NEW YORK REV BOOKS, V61, P46
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   Menzel A, 1999, NATURE, V397, P659, DOI 10.1038/17709
   Menzel A, 2006, GLOBAL CHANGE BIOL, V12, P1969, DOI 10.1111/j.1365-2486.2006.01193.x
   Midwestern Regional Climate Center, 2019, ILL STAT WAT SURV
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   *MN DEP NAT RES, 2015, SEED SOURC CONTR ZON
   *MN STAT CLIM OFF, 2018, CLIM SERV CAT
   Moran EV, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036492
   Muilenburg VL, 2012, ENVIRON ENTOMOL, V41, P1372, DOI 10.1603/EN12238
   Nagel LM, 2017, J FOREST, V115, P167, DOI 10.5849/jof.16-039
   Nagel LM, 1998, PHYSIOL PLANTARUM, V104, P385, DOI 10.1034/j.1399-3054.1998.1040314.x
   ONEILL GA, 2008, 048 MIN FOR RANG
   Park A, 2018, BIOSCIENCE, V68, P251, DOI 10.1093/biosci/biy001
   Park A, 2014, CRIT REV PLANT SCI, V33, P251, DOI 10.1080/07352689.2014.858956
   PARKER WC, 1988, CAN J FOREST RES, V18, P1, DOI 10.1139/x88-001
   Pedlar JH, 2017, SCI REP-UK, V7, DOI 10.1038/srep43881
   Pedlar JH, 2012, BIOSCIENCE, V62, P835, DOI 10.1525/bio.2012.62.9.10
   Percival G. C., 2005, Journal of Arboriculture, V31, P215
   Piao SL, 2008, NATURE, V451, P49, DOI 10.1038/nature06444
   PIKE CC, 2017, PNWGTR963 US FOR SER
   Poiani KA, 2011, BIODIVERS CONSERV, V20, P185, DOI 10.1007/s10531-010-9954-2
   Polgar C, 2014, NEW PHYTOL, V202, P106, DOI 10.1111/nph.12647
   Polgar CA, 2011, NEW PHYTOL, V191, P926, DOI 10.1111/j.1469-8137.2011.03803.x
   PRISM Climate Group, Oregon State University
   Prud'homme GO, 2018, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.02214
   RAUSCHER HM, 1984, NC240 US DEPT AGR FO
   Ravenscroft C, 2010, ECOL APPL, V20, P327, DOI 10.1890/08-1698.1
   RAYMOND CA, 1990, SILVAE GENET, V39, P67
   Rehfeldt GE, 1999, ECOL MONOGR, V69, P375, DOI 10.1890/0012-9615(1999)069[0375:GRTCIP]2.0.CO;2
   REHFELDT GE, 1988, SILVAE GENET, V37, P131
   REHFELDT GE, 1983, INT337 USDA
   Rehfeldt GE, 2006, INT J PLANT SCI, V167, P1123, DOI 10.1086/507711
   Richardson DM, 2009, P NATL ACAD SCI USA, V106, P9721, DOI 10.1073/pnas.0902327106
   Richter S, 2012, OECOLOGIA, V169, P269, DOI 10.1007/s00442-011-2191-x
   ROBERDS JH, 1990, SILVAE GENET, V39, P121
   Rogers BM, 2017, GLOBAL CHANGE BIOL, V23, P3302, DOI 10.1111/gcb.13585
   Rohde A, 2011, NEW PHYTOL, V189, P106, DOI 10.1111/j.1469-8137.2010.03469.x
   Rousi M, 2005, TREE PHYSIOL, V25, P201, DOI 10.1093/treephys/25.2.201
   Rudolf P.O., 1956, Proceedings of the MN Academy of Science, V24, P20
   *SAS I, 2016, JMP VERS PRO 13 1 0
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Schulte LA, 2007, LANDSCAPE ECOL, V22, P1089, DOI 10.1007/s10980-007-9095-5
   Sendall KM, 2015, GLOBAL CHANGE BIOL, V21, P1342, DOI 10.1111/gcb.12781
   Shaw RG, 2012, NEW PHYTOL, V195, P752, DOI 10.1111/j.1469-8137.2012.04230.x
   Sittaro F, 2017, GLOBAL CHANGE BIOL, V23, P3292, DOI 10.1111/gcb.13622
   SORK VL, 1993, AM NAT, V142, P928, DOI 10.1086/285581
   St Clair JB, 2007, GLOBAL CHANGE BIOL, V13, P1441, DOI 10.1111/j.1365-2486.2007.01385.x
   Stanturf JA, 2014, FOREST ECOL MANAG, V331, P292, DOI 10.1016/j.foreco.2014.07.029
   STJACQUES C, 1991, BOT GAZ, V152, P195, DOI 10.1086/337879
   TANG ZC, 1982, CAN J FOREST RES, V12, P196, DOI 10.1139/x82-030
   Thomson AM, 2010, CAN J FOREST RES, V40, P1576, DOI 10.1139/X10-112
   Trugman AT, 2018, GLOBAL CHANGE BIOL, V24, P1097, DOI 10.1111/gcb.13952
   Ukrainetz NK, 2011, CAN J FOREST RES, V41, P1452, DOI [10.1139/X11-060, 10.1139/x11-060]
   Velpuri N. M., 2016, Rangelands, V38, P183
   Velpuri NM, 2013, REMOTE SENS ENVIRON, V139, P35, DOI 10.1016/j.rse.2013.07.013
   Vitasse Y, 2014, J ECOL, V102, P981, DOI 10.1111/1365-2745.12251
   Walck JL, 2011, GLOBAL CHANGE BIOL, V17, P2145, DOI 10.1111/j.1365-2486.2010.02368.x
   Way DA, 2015, PLANT CELL ENVIRON, V38, P1725, DOI 10.1111/pce.12431
   Way DA, 2011, TREE PHYSIOL, V31, P469, DOI 10.1093/treephys/tpr044
   White MA, 2012, FOREST ECOL MANAG, V269, P222, DOI 10.1016/j.foreco.2011.12.043
   White PB, 2011, TREE-RING RES, V67, P27, DOI 10.3959/2009-1.1
   Williams AP, 2013, NAT CLIM CHANGE, V3, P292, DOI [10.1038/NCLIMATE1693, 10.1038/nclimate1693]
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
   WOODCOCK DW, 1989, CAN J FOREST RES, V19, P639, DOI 10.1139/x89-100
   Ying CC, 2006, FOREST ECOL MANAG, V227, P1, DOI 10.1016/j.foreco.2006.02.028
NR 146
TC 55
Z9 61
U1 4
U2 49
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1051-0761
EI 1939-5582
J9 ECOL APPL
JI Ecol. Appl.
PD JUL
PY 2020
VL 30
IS 5
DI 10.1002/eap.2092
EA MAR 2020
PG 20
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA MH7XL
UT WOS:000520532300001
PM 32058650
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Fang, X
   Zhang, C
   Wang, Q
   Chen, X
   Ding, JL
   Karamage, F
AF Fang, Xia
   Zhang, Chi
   Wang, Quan
   Chen, Xi
   Ding, Jianli
   Karamage, Fidele
TI Isolating and Quantifying the Effects of Climate and CO<sub>2</sub>
   Changes (1980-2014) on the Net Primary Productivity in Arid and Semiarid
   China
SO FORESTS
LA English
DT Article
DE AEM model; net primary productivity (NPP); climate change; CO2
   fertilization effect; arid; semiarid China
ID ELEVATED ATMOSPHERIC CO2; LAND-USE CHANGE; CARBON DYNAMICS; DESERT
   SHRUBS; GROWTH; ENRICHMENT; MODEL; RESPONSES; SURFACE; SOIL
AB Although the net primary productivity (NPP) of arid/semiarid ecosystem is generally thought to be controlled by precipitation, other factors like CO2 fertilization effect and temperature change may also have important impacts, especially in the cold temperate areas of the northern China, where significant warming was reported in the recent decades. However, the impacts of climate and atmospheric CO2 changes to the NPP dynamics in the arid and semiarid areas of China (ASA-China) is still unclear, hindering the development of climate adaptation strategy. Based on numeric experiments and factorial analysis, this study isolated and quantified the effects of climate and CO2 changes between 1980-2014 on ASA-China's NPP, using the Arid Ecosystem Model (AEM) that performed well in predicting ecosystems' responses to climate/CO2 change according to our evaluation based on 21 field experiments. Our results showed that the annual variation in NPP was dominated by changes in precipitation, which reduced the regional NPP by 10.9 g.C/(m(2).year). The precipitation-induced loss, however, has been compensated by the CO2 fertilization effect that increased the regional NPP by 14.9 g.C/(m(2).year). The CO2 fertilization effect particularly benefited the extensive croplands in the Northern China Plain, but was weakened in the dry grassland of the central Tibetan Plateau due to suppressed plant activity as induced by a drier climate. Our study showed that the climate change in ASA-China and the ecosystem's responses were highly heterogeneous in space and time. There were complex interactive effects among the climate factors, and different plant functional types (e.g., phreatophyte vs. non-phreatophyte) could have distinct responses to similar climate change. Therefore, effective climate-adaptive strategies should be based on careful analysis of local climate pattern and understanding of the characteristic responses of the dominant species. Particularly, China's policy makers should pay close attention to climate change and ecosystem health in northeastern China, where significant loss in forest NPP has been triggered by drought, and carefully balance the ecological and agricultural water usage. For wildlife conservation, the drought-stressed grassland in the central Tibetan Plateau should be protected from overgrazing in the face of dramatic warming in the 21st century.
C1 [Fang, Xia; Zhang, Chi; Chen, Xi; Karamage, Fidele] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Xinjiang, Peoples R China.
   [Fang, Xia; Ding, Jianli] Xinjiang Univ, Sch Resources & Environm, Xinjiang 830046, Peoples R China.
   [Fang, Xia; Karamage, Fidele] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Fang, Xia] Xinjiang Polytech Coll, Urumqi 830091, Xinjiang, Peoples R China.
   [Wang, Quan] Shizuoka Univ, Fac Agr, Shizuoka 4228529, Japan.
C3 Chinese Academy of Sciences; Xinjiang Institute of Ecology & Geography,
   CAS; Xinjiang University; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS; Xinjiang University; Shizuoka
   University
RP Zhang, C (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Xinjiang, Peoples R China.
EM newage-sun@163.com; zc@ms.xjb.ac.cn; wang.quan@shizuoka.ac.jp;
   chenxi@ms.xjb.ac.cn; ding_jl@163.com; fidelekaramage@yahoo.com
RI Wang, Quan/M-2011-2019; Zhang, Chi/ABB-1176-2021; Wang, Quan/F-5424-2013
OI KARAMAGE, Fidele/0000-0002-5216-3704; Wang, Quan/0000-0001-5483-0243;
   zhang, chi/0000-0003-4866-1441
FU National Basic Research Programs of China [2014CB954204]; International
   Cooperation and Exchanges of the National Science Foundation of China
   [41361140361]
FX We thank the editor and the anonymous reviewers for their valuable
   comments and advice that helped us improve this manuscript. This study
   was supported by the National Basic Research Programs of China
   (#2014CB954204) and the International Cooperation and Exchanges of the
   National Science Foundation of China (#41361140361).
CR Ahlström A, 2015, SCIENCE, V348, P895, DOI 10.1126/science.aaa1668
   [Anonymous], 2003, CHINA QUAT SCI
   [Anonymous], 1996, LAND SURFACE MODEL L
   [Anonymous], THESIS
   BAZZAZ FA, 1990, CAN J FOREST RES, V20, P1479, DOI 10.1139/x90-195
   Cao MK, 2003, GLOBAL CHANGE BIOL, V9, P536, DOI 10.1046/j.1365-2486.2003.00617.x
   Chang C.M., 2014, Moisture Factor Dynamics and its Impact on Aboveground Biomass in Stipa Klemenzii Steppe
   Chen FH, 2010, QUATERNARY SCI REV, V29, P1055, DOI 10.1016/j.quascirev.2010.01.005
   COLLATZ GJ, 1992, AUST J PLANT PHYSIOL, V19, P519, DOI 10.1071/PP9920519
   Cramer W, 2001, GLOBAL CHANGE BIOL, V7, P357, DOI 10.1046/j.1365-2486.2001.00383.x
   Dai AG, 2011, WIRES CLIM CHANGE, V2, P45, DOI 10.1002/wcc.81
   FARQUHAR GD, 1980, PLANTA, V149, P78, DOI 10.1007/BF00386231
   Feng ZD, 2006, HOLOCENE, V16, P119, DOI 10.1191/0959683606hl912xx
   [卢玲 Lu Ling], 2005, [生态学报, Acta Ecologica Sinica], V25, P1026
   Friend AD, 1998, ECOL MODEL, V109, P121, DOI 10.1016/S0304-3800(98)00036-2
   Gao J, 2011, APPL GEOGR, V31, P476, DOI 10.1016/j.apgeog.2010.11.005
   Gao S., 2003, J. Appl. Meteorol. Sci., V2, P252
   Gao S., 2012, Effect of Warming and Nitrogen Addition on Structure and Function of Leymus Chinensis Community in Songnen Grassland
   Gray V, 2007, SUMMARY POLICY MAKER, V54, p44 45
   Hou SS, 2013, J FOOD AGRIC ENVIRON, V11, P937
   Houghton RA, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2002GB001970
   Housman DC, 2006, ECOSYSTEMS, V9, P374, DOI 10.1007/s10021-005-0124-4
   [胡芩 Hu Qin], 2015, [大气科学, Chinese Journal of Atmospheric Sciences], V39, P260
   Hui Y., 2013, ACTA ECOL SIN, V33, P4226
   HUNT R, 1991, FUNCT ECOL, V5, P410, DOI 10.2307/2389813
   Jiang C., 2012, ACTA BOT BOREALI-OCC, V4, p185 217
   Jin J, 2016, J ARID LAND, V8, P819, DOI 10.1007/s40333-016-0089-5
   Jinghong Y., 2002, INN MONG P 12 ISCO C
   Jones AG, 2014, ENVIRON INT, V73, P252, DOI 10.1016/j.envint.2014.07.021
   KAUSHAL P, 1989, CAN J FOREST RES, V19, P1351, DOI 10.1139/x89-209
   Kudo G, 2003, OECOLOGIA, V135, P280, DOI 10.1007/s00442-003-1179-6
   Lai L, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1601063
   Li CF, 2015, GLOBAL CHANGE BIOL, V21, P1951, DOI 10.1111/gcb.12846
   Li CF, 2013, ECOL MODEL, V267, P148, DOI 10.1016/j.ecolmodel.2013.06.007
   [李超凡 Li Chaofan], 2012, [干旱区地理, Arid Land Geography], V35, P919
   Li F, 2011, ADV ATMOS SCI, V28, P775, DOI 10.1007/s00376-010-0009-0
   Li XinZhou Li XinZhou, 2004, Ganhanqu Yanjiu (Arid Zone Research), V21, P97
   Li Y., 2003, Acta Agrestia Sin, V12, P236
   Liu JG, 2005, NATURE, V435, P1179, DOI 10.1038/4351179a
   Liu XJ, 2013, NATURE, V494, P459, DOI 10.1038/nature11917
   Liu YS, 2005, ENVIRON MANAGE, V36, P691, DOI 10.1007/s00267-004-0285-5
   Lu JH, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006252
   Marco A., 2006, GLOBAL CHANGE BIOL, V12, P2370
   MAUNEY JR, 1992, CRIT REV PLANT SCI, V11, P213, DOI 10.1080/713608026
   Naumburg E, 2003, GLOBAL CHANGE BIOL, V9, P276, DOI 10.1046/j.1365-2486.2003.00580.x
   Pan Jing-hu, 2015, Shengtaixue Zazhi, V34, P3333
   [裴志永 PEI Zhi-yong], 2010, [地理研究, Geographical Research], V29, P102
   Piao SL, 2015, GLOBAL CHANGE BIOL, V21, P1601, DOI 10.1111/gcb.12795
   Piao SL, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2004GB002274
   Polley HW, 2006, RANGELAND ECOL MANAG, V59, P128, DOI 10.2111/05-073R1.1
   Ren W, 2012, GLOBAL CHANGE BIOL, V18, P2945, DOI 10.1111/j.1365-2486.2012.02741.x
   Rykiel EJ, 1996, ECOL MODEL, V90, P229, DOI 10.1016/0304-3800(95)00152-2
   Sellers PJ, 1996, J CLIMATE, V9, P676, DOI 10.1175/1520-0442(1996)009<0676:ARLSPF>2.0.CO;2
   Shen WJ, 2009, GLOBAL CHANGE BIOL, V15, P2274, DOI 10.1111/j.1365-2486.2009.01857.x
   Shi Y, 2002, QUATERN INT, V97-8, P79, DOI 10.1016/S1040-6182(02)00053-8
   Smith SD, 1987, FUNCT ECOL, V1, P139, DOI 10.2307/2389717
   Tao B, 2007, SCI CHINA SER D, V50, P745, DOI 10.1007/s11430-007-0022-z
   THOMAS RB, 1994, TREE PHYSIOL, V14, P947, DOI 10.1093/treephys/14.7-8-9.947
   Tian HQ, 2003, GLOBAL PLANET CHANGE, V37, P201, DOI 10.1016/S0921-8181(02)00205-9
   van Groenigen KJ, 2014, SCIENCE, V344, P508, DOI 10.1126/science.1249534
   Walker RF, 1997, PLANT SOIL, V195, P25, DOI 10.1023/A:1004290719824
   Wang C, 2003, ADV COMPOS LETT, V12, P25
   Wang H, 2016, CHINESE GEOGR SCI, V26, P35, DOI 10.1007/s11769-015-0762-1
   [王李娟 Wang Lijuan], 2010, [国土资源遥感, Remote Sensing for Land & Resources], P113
   Wang YH, 2015, Ph.D. thesis,
   Wu YuIian, 2014, Acta Scientiarum Naturalium Universitatis Pekinensis, V50, P577
   Xiao CW, 2001, ACTA BOT SIN, V43, P736
   Xu H, 2007, PLANT CELL ENVIRON, V30, P399, DOI 10.1111/j.1365-3040.2006.001626.x
   [杨兵 Yang Bing], 2010, [生态学报, Acta Ecologica Sinica], V30, P5994
   Yang XP, 2015, CATENA, V134, P1, DOI 10.1016/j.catena.2015.02.011
   Ying W., 2010, ACTA PRATACULT SIN, V19, P201
   Zhang C., 2007, US ECOSYSTEMS, V11, p1211 1222, DOI [10.1007/s10021-006-0126-x, DOI 10.1007/S10021-006-0126-X]
   Zhang C, 2016, REMOTE SENS ENVIRON, V175, P271, DOI 10.1016/j.rse.2016.01.002
   Zhang C, 2013, ECOL MODEL, V267, P158, DOI 10.1016/j.ecolmodel.2013.06.008
   Zhang C, 2013, J ARID LAND, V5, P102, DOI 10.1007/s40333-013-0146-2
   Zheng CL, 2014, HYDROL PROCESS, V28, P6124, DOI 10.1002/hyp.10109
   Zhou H.K., 2000, Acta Phytoecol. Sin., V5, P6
   Zhu Y.J., 2012, For. Res., V5, P016
NR 78
TC 63
Z9 68
U1 1
U2 101
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD MAR
PY 2017
VL 8
IS 3
AR 60
DI 10.3390/f8030060
PG 19
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA ER3QD
UT WOS:000398711600009
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Trinidad-Da Silva, A
   Miró, JJ
   Sauri, D
AF Trinidad-Da Silva, Angelina
   Javier Miro, Juan
   Sauri, David
TI Religion and Adaptation to Climatic Variability in Agricultural
   Frontiers: Mennonite Farming in El Chaco, Paraguay
SO PROFESSIONAL GEOGRAPHER
LA English
DT Article
DE agricultural frontiers; climate variability; El Chaco; Mennonites;
   religion
ID IMPACTS; SYSTEMS
AB Climate variability in agricultural frontiers such as the subtropical zone of South America has required complex forms of human adaptation. Beginning in the 1920s, Mennonite farming in the El Chaco region of Paraguay, organized under strong communal principles rooted in religious values, has developed a food production system based on meat and dairy products that contributes significantly to Paraguayan economy but that is always subject to the vagaries of climate. This article first analyzes climate data for the period 1950 through 2016 to identify potential increases in variability in temperature and precipitation trends. Second, the article examines adaptation practices to climate variability and perceptions of climate change in the region by a variety of informants, above all Mennonite cooperatives. Although Mennonites remain skeptical about climate change of human origin, they are nonetheless implementing conservationist practices in farming that suit well the precepts of adaptation. For other collectives, though, the socioenvironmental degradation of El Chaco, for which the Mennonites are held at least in part responsible, damaging ecosystems and indigenous populations at the same time, could threaten future adaptation practices.
C1 [Trinidad-Da Silva, Angelina] Univ Autonoma Barcelona, Dept Geog, Barcelona 08193, Spain.
   [Javier Miro, Juan] Univ Valencia, Geog, Valencia 46010, Spain.
   [Sauri, David] Univ Autonoma Barcelona, Dept Geog, Campus Univ UAB, Bellaterra 081093, Spain.
C3 Autonomous University of Barcelona; University of Valencia; Autonomous
   University of Barcelona
RP Trinidad-Da Silva, A (corresponding author), Univ Autonoma Barcelona, Dept Geog, Barcelona 08193, Spain.
EM hola.angelinat@gmail.com; jamipe@uv.es; david.sauri@uab.cat
RI ; Sauri, David/G-8131-2015
OI Trinidad-Da Silva, Angelina Adelfa/0000-0002-2094-4549; Sauri,
   David/0000-0002-3618-7773
FU State of Paraguay
FX Angelina Trinidad-da Silva would like to thank the State of Paraguay for
   funding her PhD in Spain through the Programa Nacional de Becas de
   Postgrado en el Exterior "Don Carlos Antonio Lopez."
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Altieri M.A., 2018, Revista de Ciencias Ambientales, V52, P235
   [Anonymous], 2007, OBSERVATORIO EC A LA
   [Anonymous], 2004, SISTEMAS PRODUCTIVOS
   Bazoberry O., 2012, MENONITAS CHACO BOLI
   Blinman E, 2008, AMBIO, P489, DOI 10.1579/0044-7447-37.sp14.489
   Cabrera A., 2015, USO SUELOS CHACO CEN
   Canova P., 2015, Capitalismo en las Selvas: Enclaves industrials en el Chaco y Amazonia indigenas (1850-1950), P271
   Casanova-Pérez L, 2016, AGROECOL SUST FOOD, V40, P848, DOI 10.1080/21683565.2016.1204582
   Center for Sustainable Climate Solutions, 2022, CSCS BRINGS TOG AN O
   Climate-data.org, 2019, BOQ
   Cooperativa Fernheim Ltda, 2021, PROD FERNH
   Cooperativa Multiactiva Neuland Ltda, 2021, PERF I COOP MULT NEU
   Crate SA, 2011, ANNU REV ANTHROPOL, V40, P175, DOI 10.1146/annurev.anthro.012809.104925
   De la Cruz L.M., 2016, BASE INVESTIGACIONES, V2016, P66
   Dietze R., 2012, MENONITAS CELEBRAN 8
   Dipecho VI Action Plan, 2010, STUD IMP NAT HAZ DEP
   Doss-Gollin J, 2018, J CLIMATE, V31, P6669, DOI 10.1175/JCLI-D-17-0805.1
   Duarte C., 2012, ESTUDIO CASOS COMP E
   Eakin H, 2006, GLOBAL ENVIRON CHANG, V16, P7, DOI 10.1016/j.gloenvcha.2005.10.004
   Elorriaga G., 2018, LAS PROVINCIAS
   Ferrero ME, 2019, FRONT EARTH SC-SWITZ, V7, DOI 10.3389/feart.2019.00148
   Firdaus RBR, 2019, COGENT FOOD AGR, V5, DOI 10.1080/23311932.2019.1707607
   Food and Agriculture Organization, 2015, CLIMATE CHANGE FOOD
   Garrett RD, 2018, GLOBAL ENVIRON CHANG, V53, P233, DOI 10.1016/j.gloenvcha.2018.09.011
   Giménez R, 2015, J ARID ENVIRON, V123, P81, DOI 10.1016/j.jaridenv.2014.09.004
   Global Anabaptist Mennonite Encyclopedia Online (GAMEO), 2009, MENN COL
   Global Anabaptist Mennonite Encyclopedia Online (GAMEO), 2020, GAMEO
   Grassi B., 2020, ESTUDIO CLIMA PARAGU
   Grupo de Estudios Ambientales Universidad Nacional de San Luis and CONICET., 2013, US TIERR GRAN CHAC C
   Guerena A., 2016, Yvy Jara: Los Duenos de la Tierra en Paraguay
   Haluza-DeLay R, 2014, WIRES CLIM CHANGE, V5, P261, DOI 10.1002/wcc.268
   Hannah L, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0228305
   Hay I., 2000, QUALITATIVE RES METH
   Hecht A., 1983, INTERPRETATION CALAM, P162
   Jenkins W, 2018, ANNU REV ENV RESOUR, V43, P85, DOI 10.1146/annurev-environ-102017-025855
   Kates R.W., 1996, 10 GEOGRAPHIC IDEAS, V1st, P87
   Kendall M. G., 1948, Rank correlation methods.
   Kerber G., 2011, CUADERNOS TEOLOG A, V30, P185
   Kruck W., 1998, Proyecto Sistema Ambiental del Chaco. Inventario
   L?pez A., 2015, CAMBIO CLIMATICO ACT
   Labbate G., 2016, PARAGUAY CAMBIO USO
   Lima R., 2018, BRECHAS CONOCIMIENTO
   Mander B., 2019, AGR QUALITY VIES QUA
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Marqu?s Rodr?guez I., 2017, REV LATINO AMERICANA, V6, P176
   Marshall MN, 1996, FAM PRACT, V13, P92, DOI 10.1093/fampra/13.1.92
   Mayeregger E., 2017, CARACTERISTICAS AGRO
   McKenna SA, 2013, ACTION RES-LONDON, V11, P113, DOI 10.1177/1476750312473342
   Mennonite Central Committee, 2019, CLIM CHANG MCC STAFF
   Ministry of the Environment Republic of Paraguay., 2017, NAT PLAN AD CLIM CHA
   Murphy C, 2016, CLIMATIC CHANGE, V134, P101, DOI 10.1007/s10584-015-1498-8
   Myers SS, 2017, ANNU REV PUBL HEALTH, V38, P259, DOI 10.1146/annurev-publhealth-031816-044356
   National Directorate of Civil Aeronautics, 2019, 110434 NAT DIR CIV A
   Newcombe R., 2003, CONSTR MANAG ECON, V21, P841, DOI [10.1080/0144619032000072137, DOI 10.1080/0144619032000072137]
   Noble IR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P833
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Ortega G., 2015, El agua: bien comun o mercancia?, VBASE
   Ortega G, 2013, EXTRACTIVISMO CHACO
   Ostrom E., 1990, GOVERNING COMMONS EV
   Posas P J., 2007, Ethics in science and environmental politics, V4, P31, DOI [10.3354/esep00080, DOI 10.3354/ESEP00080]
   Raid?n G., 2006, REV CR TICA, VXVI, P106
   Riera Constanza, 2013, Invest. Geog, P52
   Riquelme Q, 2016, Concentracion de Tierras y Produccion en Paraguay: Analisis Comparativo de los Censos Agropecuarios de 1991 y 2008
   Robbins P, 2003, ANTIPODE, V35, P955, DOI 10.1111/j.1467-8330.2003.00366.x
   Rodas O., 2019, ULTIMA HORA
   Salmi T., 2002, DETECTING TRENDS ANN
   Schipper E.L. F., 2010, Der Klimawandel: Sozialwissenschaftliche Perspektiven, DOI [DOI 10.1007/978-3-531-92258-4_22, DOI 10.1007/978-3-531-92258-422]
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sensenig Andrew T., 2015, Transactions of the Kansas Academy of Science, V118, P276
   Sofoulis Zoe., 2005, CONTINUUM-J MEDIA CU, V19, P445, DOI [10.1080/10304310500322685, DOI 10.1080/10304310500322685]
   STP/DGEEC, 2012, 3 CENS NAC POBL VIV
   United Nations Development Programme, 2020, PAR SUST SOY BEEF
   Vermeulen SJ, 2012, ANNU REV ENV RESOUR, V37, P195, DOI 10.1146/annurev-environ-020411-130608
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   WHITE L, 1967, SCIENCE, V155, P1203, DOI 10.1126/science.155.3767.1203
   World Bank, 2014, RISK AN AGR SECT PAR
   Wu ZH, 2009, ADV DATA SCI ADAPT, V1, P1, DOI 10.1142/S1793536909000047
NR 78
TC 0
Z9 0
U1 1
U2 3
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0033-0124
EI 1467-9272
J9 PROF GEOGR
JI Prof. Geogr.
PD MAY 4
PY 2023
VL 75
IS 3
BP 383
EP 395
DI 10.1080/00330124.2022.2111688
EA AUG 2022
PG 13
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA H9KX5
UT WOS:000863733100001
DA 2025-01-10
ER

PT J
AU Schorkopf, DLP
   de Sá, GF
   Maia-Silva, C
   Schorkopf, M
   Hrncir, M
   Barth, FG
AF Schorkopf, Dirk Louis P.
   de Sa Filho, Geovan Figueiredo
   Maia-Silva, Camila
   Schorkopf, Martina
   Hrncir, Michael
   Barth, Friedrich G.
TI Nectar profitability, not empty honey stores, stimulate recruitment and
   foraging in <i>Melipona scutellaris</i> (Apidae, Meliponini)
SO JOURNAL OF COMPARATIVE PHYSIOLOGY A-NEUROETHOLOGY SENSORY NEURAL AND
   BEHAVIORAL PHYSIOLOGY
LA English
DT Article
DE Nectar foraging; Tropics; Food hoarding; Food deprivation; Observation
   hive
ID STINGLESS BEES; FOOD PROFITABILITY; HOARDING BEHAVIOR; HYMENOPTERA;
   DEPENDENCE; COMMUNICATION; SIGNALS; COMB
AB In stingless bees (Meliponini) like in many other eusocial insect colonies food hoarding plays an important role in colony survival. However, very little is known on how Meliponini, a taxon restricted to tropical and subtropical regions, respond to different store conditions. We studied the impact of honey removal on nectar foraging activity and recruitment behaviour in Melipona scutellaris and compared our results with studies of the honey bee Apis mellifera. As expected, foraging activity increased significantly during abundance of artificial nectar and when increasing its profitability. Foraging activity on colony level could thereby frequently increase by an order of magnitude. Intriguingly, however, poor honey store conditions did not induce increased nectar foraging or recruitment activity. We discuss possible reasons explaining why increasing recruitment and foraging activity are not used by meliponines to compensate for poor food conditions in the nest. Among these are meliponine specific adaptations to climatic and environmental conditions, as well as physiology and brood rearing, such as mass provisioning of the brood.
C1 [Schorkopf, Dirk Louis P.] Swedish Univ Agr Sci, Dept Plant Protect Biol, Unit Chem Ecol, Alnarp, Sweden.
   [de Sa Filho, Geovan Figueiredo; Maia-Silva, Camila; Hrncir, Michael] Univ Fed Rural Semi Arido, Dept Ciencias Anim, Ave Francisco Mota 572, BR-59625900 Mossoro, RN, Brazil.
   [Schorkopf, Martina] Natl Hosp Norway, Dept Neuropsychiat & Psychosomat Med, Oslo Univ Sykehus HF, Pb 4950 Nydalen, N-0424 Oslo, Norway.
   [Barth, Friedrich G.] Univ Vienna, Dept Neurobiol, Fac Life Sci, Althanstr 14, A-1090 Vienna, Austria.
C3 Swedish University of Agricultural Sciences; Universidade Federal Rural
   do Semi-Arido (UFERSA); University of Oslo; National Hospital Norway;
   University of Vienna
RP Schorkopf, DLP (corresponding author), Swedish Univ Agr Sci, Dept Plant Protect Biol, Unit Chem Ecol, Alnarp, Sweden.
EM Dirk.Louis.Research@outlook.com
RI Maia-Silva, Camila/E-3730-2013; Hrncir, Michael/L-9761-2019; Maia-Silva,
   Camila/I-4391-2016; Hrncir, Michael/V-3560-2017
OI Maia-Silva, Camila/0000-0003-1179-7716; Hrncir,
   Michael/0000-0003-4931-3924
FU Grants of the Austrian "Bundesministerium fur Wissenschaft und Kunst"
   and "Internationales Buro" (University of Vienna); Brazilian Science
   Foundation CAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel
   Superior) [55/2013-Pro-Integracao-AUXPE 3168/2013]; Brazilian Science
   Foundation CAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel
   Superior); Austrian Science Foundation (FWF) [P14328]; Austrian Science
   Fund (FWF) [P14328] Funding Source: Austrian Science Fund (FWF)
FX This study was supported by Grants of the Austrian "Bundesministerium
   fur Wissenschaft und Kunst" and "Internationales Buro" (University of
   Vienna) to DLPS, the Brazilian Science Foundation CAPES (Coordenacao de
   Aperfeicoamento de Pessoal de Nivel Superior) under Grant
   55/2013-Pro-Integracao-AUXPE 3168/2013 to MH, the Brazilian Science
   Foundation CAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel
   Superior) to CMS, and by Grant P14328 of the Austrian Science Foundation
   (FWF) to FGB. We are grateful to Prof. Z.L.P. Simoes and the
   Departamento de Genetica (FMRP, USP) for their generous hospitality and
   Dr. Weyder Santana for helping handling the hives in Ribeirao Preto. We
   thank Prof. L. Bego for providing logistic support and M.A. Batista, Dr.
   S. Jarau, Dr. Sidnei Mateus, Prof. Ronaldo Zucchi, the late Prof. J.M.F.
   Camargo, and Prof. P.N. Neto for helpful discussions and encouragement
   after the first set of unexpected foraging results following honey store
   removal in both Melipona seminigra and M. scutellaris. We are
   particularly grateful to Dr. Hans Nemeschkal and Prof. Fred Bookstein
   for their very valuable help with permutation statistics. We greatly
   appreciate Prof. Tom D. Seeley's suggestions that improved an earlier
   version of the manuscript focusing on aspects of recruitment behaviour.
   We also thank the anonymous reviewers for suggestions, which further
   improved our paper. Finally, we gratefully thank Rodrigo O.C. Carvalho
   and Dr. Airton T. Carvalho and their family for allowing us to conduct
   the multiple colony foraging experiments at Camaragibe, as well as for
   their assistance when preparing for the experiments.
CR Alves RMO, 2012, AN ACAD BRAS CIENC, V84, P679, DOI 10.1590/S0001-37652012000300010
   [Anonymous], RANDOMIZATION TESTS
   [Anonymous], 1997, VIDA CRIAAO ABELHAS
   [Anonymous], POT HONEY LEGACY STI
   [Anonymous], 38 AP C LJUBLJ SLOV
   [Anonymous], 2003, Statistical Computing
   [Anonymous], J COMP PHYSL A
   [Anonymous], BEE ENV 25 INT AP C
   [Anonymous], 1990, ECOLOGY NATURAL HIST, DOI DOI 10.1126/SCIENCE.248.4958.1026
   [Anonymous], APIDOLOGIE
   [Anonymous], THESIS
   [Anonymous], APOIDEA NEOTROP HOME
   [Anonymous], 2000, The Bees of the World
   [Anonymous], THESIS
   [Anonymous], 1995, WISDOM HIVE SOCIAL P, DOI DOI 10.4159/9780674043404
   [Anonymous], P 8 INT C TROP BEES
   [Anonymous], 1948, Bulletin of American Museum of Natural History
   [Anonymous], 1996, Abelha urucu: biologia, manejo e conservacao
   [Anonymous], 2014, Studying vibrational communication. Animal signals and communication, DOI DOI 10.1007/978-3-662-43607-3_18
   Barth FG, 2008, J COMP PHYSIOL A, V194, P313, DOI 10.1007/s00359-008-0321-7
   Batista Milson A., 2003, Lundiana, V4, P19
   CARTAR RV, 1992, ANIM BEHAV, V44, P75, DOI 10.1016/S0003-3472(05)80757-2
   CRAILSHEIM K, 1993, J INSECT PHYSIOL, V39, P369, DOI 10.1016/0022-1910(93)90024-L
   CRAILSHEIM K, 1992, J INSECT PHYSIOL, V38, P409, DOI 10.1016/0022-1910(92)90117-V
   CRAILSHEIM K, 1990, APIDOLOGIE, V21, P417, DOI 10.1051/apido:19900504
   FREE JB, 1972, ANIM BEHAV, V20, P327, DOI 10.1016/S0003-3472(72)80054-X
   Gordon DM, 1996, NATURE, V380, P121, DOI 10.1038/380121a0
   Hrncir M, 2004, APIDOLOGIE, V35, P3, DOI 10.1051/apido:2003069
   Hrncir M, 2004, J COMP PHYSIOL A, V190, P549, DOI 10.1007/s00359-004-0515-6
   Hrncir M, 2009, CONTEMP TOP ENTOMOL, P199
   JACOBSJESSEN UF, 1959, Z VERGL PHYSIOL, V41, P597, DOI 10.1007/BF00299269
   Jarau S, 2000, APIDOLOGIE, V31, P81, DOI 10.1051/apido:2000108
   Jarau S, 2003, INSECT SOC, V50, P365, DOI 10.1007/s00040-003-0684-2
   Jarau S, 2009, CONTEMP TOP ENTOMOL, P223
   Jones JC, 2007, ADV INSECT PHYSIOL, V33, P153, DOI 10.1016/S0065-2806(06)33003-2
   Kemp A.W., 1997, Randomization, bootstrap and Monte Carlo methods in biology, V53, P1560, DOI 10.2307/2533527
   KUGLER HANS, 1943, ERGEB BIOL, V19, P143
   Lichtenberg EM, 2014, CURR BIOL, V24, pR598, DOI 10.1016/j.cub.2014.05.062
   LINDAUER M, 1952, Z VERGL PHYSIOL, V34, P299, DOI 10.1007/BF00298048
   LINDAUER M, 1954, Z VERGL PHYSIOL, V36, P391, DOI 10.1007/BF00345028
   LINDAUER M, 1956, Z VERGL PHYSIOL, V38, P521, DOI 10.1007/BF00341108
   LINDAUER M, 1949, Z VERGL PHYSIOL, V31, P348, DOI 10.1007/BF00297951
   Maia-Silva C, 2015, APIDOLOGIE, V46, P631, DOI 10.1007/s13592-015-0354-1
   MOURE J S, 1975, Revista Brasileira de Biologia, V35, P615
   NIEH JC, 1995, BEHAV ECOL SOCIOBIOL, V37, P63, DOI 10.1007/BF00173900
   Nieh JC, 2004, APIDOLOGIE, V35, P159, DOI 10.1051/apido:2004007
   Nogueira-Neto P., 1970, A criacao de abelhas indigenas sem ferrao (Meliponinae), V2nd
   Noll FB, 2002, CLADISTICS, V18, P137, DOI 10.1111/j.1096-0031.2002.tb00146.x
   Peres-Neto PR, 2001, ANIM BEHAV, V61, P79, DOI 10.1006/anbe.2000.1576
   Pick Raquel A., 2002, Rev. Bras. Zool., V19, P827
   Pierrot Leonardo Monteiro, 2003, Rev. Bras. Zool., V20, P565, DOI 10.1590/S0101-81752003000400001
   RINDERER TE, 1982, J APICULT RES, V21, P74, DOI 10.1080/00218839.1982.11100519
   RINDERER TE, 1981, ANIM BEHAV, V29, P1275, DOI 10.1016/S0003-3472(81)80085-1
   RINDERER TE, 1979, ANIM BEHAV, V27, P426, DOI 10.1016/0003-3472(79)90178-7
   RINDERER TE, 1978, J ECON ENTOMOL, V71, P757, DOI 10.1093/jee/71.5.757
   RINDERER TE, 1983, APIDOLOGIE, V14, P87, DOI 10.1051/apido:19830203
   ROUBIK D W, 1983, Acta Amazonica, V13, P453
   ROUBIK DW, 1982, J KANSAS ENTOMOL SOC, V55, P789
   Sakagami S. F., 1982, Social insects. Vol. III, P361
   Schmidt VM, 2008, APIDOLOGIE, V39, P260, DOI 10.1051/apido:2008004
   Schmidt VM, 2006, ANIM BEHAV, V72, P1309, DOI 10.1016/j.anbehav.2006.03.023
   Schorkopf DLP, 2007, P ROY SOC B-BIOL SCI, V274, P895, DOI 10.1098/rspb.2006.3766
   Seeley T. D., 1985, HONEYBEE ECOLOGY STU, DOI DOI 10.1515/9781400857876
   SEELEY TD, 1989, BEHAV ECOL SOCIOBIOL, V24, P181, DOI 10.1007/BF00292101
   Sokal R. R., 1995, Biometry: The Principles of Statistics in Biological Research
   van Veen J.W., 2004, Proceedings of the Section Experimental and Applied Entomology of the Netherlands Entomological Society (N.E.V.), V15, P35
   von Frisch K., 1965, TANZSPRACHE ORIENTIE
   Winston M. L., 1987, The biology of the honey bee.
   Zanella FCV, 2000, APIDOLOGIE, V31, P579, DOI 10.1051/apido:2000148
   Zucchi Ronaldo, 1993, P207
NR 70
TC 7
Z9 7
U1 0
U2 18
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0340-7594
EI 1432-1351
J9 J COMP PHYSIOL A
JI J. Comp. Physiol. A -Neuroethol. Sens. Neural Behav. Physiol.
PD OCT
PY 2016
VL 202
IS 9-10
SI SI
BP 709
EP 722
DI 10.1007/s00359-016-1102-3
PG 14
WC Behavioral Sciences; Neurosciences; Physiology; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Behavioral Sciences; Neurosciences & Neurology; Physiology; Zoology
GA DW2JU
UT WOS:000383469500012
PM 27316717
DA 2025-01-10
ER

PT J
AU Thierfelder, C
   Bunderson, WT
   Jere, ZD
   Mutenje, M
   Ngwira, A
AF Thierfelder, Christian
   Bunderson, W. Trent
   Jere, Zwide D.
   Mutenje, Munyaradzi
   Ngwira, Amos
TI DEVELOPMENT OF CONSERVATION AGRICULTURE (CA) SYSTEMS IN MALAWI: LESSONS
   LEARNED FROM 2005 TO 2014
SO EXPERIMENTAL AGRICULTURE
LA English
DT Article
ID SUB-SAHARAN AFRICA; ZEA-MAYS L.; SOIL QUALITY; MAIZE YIELD;
   INTERCROPPING SYSTEMS; SMALLHOLDER FARMERS; RESIDUE MANAGEMENT; REDUCED
   TILLAGE; ZERO-TILLAGE; ADOPTION
AB Conservation agriculture (CA) was introduced to farmers in Malawi to address soil degradation, declining crop productivity and the need to adapt to climate variability and change. This research from 2005 to 2014 aimed at analysing the effects of CA on longer-term productivity and profitability compared with conventional systems as practiced in two communities of Central Malawi. CA treatments outyielded conventional ridge tilled control plots in Mwansambo and Zidyana on average by between 22 and 31%, respectively. An economic analysis from 2011 to 2014 found that, on average, income was 50 and 83% greater in CA systems than in conventional systems. The crops were produced with 28 -39 less labour days ha(-1) compared with the conventional practice, leading to greater net benefits. Despite the higher returns with CA, there are still challenges with residue retention, weed control, adequate rotations, management of pests and diseases as well as other socio-economic constraints. At the same time, there are opportunities to address these challenges through site-specific and adaptive research using innovation systems approaches.
C1 [Thierfelder, Christian; Mutenje, Munyaradzi] CIMMYT, POB MP 163, Harare, Zimbabwe.
   [Bunderson, W. Trent; Jere, Zwide D.] Total LandCare, POB 2440, Lilongwe, Malawi.
   [Ngwira, Amos] Chitedze Res Stn, POB 158, Lilongwe, Malawi.
RP Thierfelder, C (corresponding author), CIMMYT, POB MP 163, Harare, Zimbabwe.
EM c.thierfelder@cgiar.org
RI Thierfelder, Christian/J-3989-2019
OI Thierfelder, Christian/0000-0002-6306-7670
FU German Ministry of Economic Cooperation and Development (BMZ); German
   Technical Cooperation (GIZ); International Fund for Agriculture
   Development (IFAD)
FX We wish to thank the farmers, TLC staff and Agricultural Extension
   Development Officers (AEDOs) of Nkhotakota District for their
   enthusiasm, collaboration and support during project implementation
   phase. This work has been embedded in the MAIZE CGIAR Research Program.
   We wish to acknowledge the financial support of the German Ministry of
   Economic Cooperation and Development (BMZ), the German Technical
   Cooperation (GIZ) and International Fund for Agriculture Development
   (IFAD) for funding project activities from 2005 to 2014. Special thanks
   go to Dayton Lambert and Leonard Rusinamhodzi for their good suggestions
   and ideas during the development of this publication.
CR Aagaard P., 2011, PRACTICE CONVENTIONA
   Andersson JA, 2014, AGR ECOSYST ENVIRON, V187, P116, DOI 10.1016/j.agee.2013.08.008
   [Anonymous], EC NO TILLAGE COMP T
   [Anonymous], 1988, From agronomic data to farmer recommendations: An economics training manual
   [Anonymous], THESIS
   [Anonymous], 1998, WORLD REF BAS SOILS
   [Anonymous], 2013, CONSERVATION AGR GLO
   [Anonymous], 9104 CIMMYT INT MAIZ
   [Anonymous], ZIMB J DEV STUD
   [Anonymous], 2009, INTEGRATED SOIL FERT
   [Anonymous], 1991, CONTROLE EROSAO PARA
   [Anonymous], 2002, FAO Soils Bulletin
   Arslan A, 2014, AGR ECOSYST ENVIRON, V187, P72, DOI 10.1016/j.agee.2013.08.017
   Baudron F, 2012, FIELD CROP RES, V132, P117, DOI 10.1016/j.fcr.2011.09.008
   Bolliger A, 2006, ADV AGRON, V91, P47, DOI 10.1016/S0065-2113(06)91002-5
   Bunderson W. T., 2011, TOTAL LANDCARE BOOKL
   Bunderson W. T., CONSERVATION AGR AFR
   Cairns JE, 2013, FOOD SECUR, V5, P345, DOI 10.1007/s12571-013-0256-x
   DERPSCH R, 1986, SOIL TILL RES, V8, P253, DOI 10.1016/0167-1987(86)90338-7
   Derpsch R., 2007, P 25 SO CONS TILL C, V11, P25
   Dowswell CR., 2019, MAIZE 3 WORLD, P282
   Ekboir J., 2002, CONSERVATION AGR WOR, P757
   Ekboir J., 2002, CIMMYT 2000 2001 WOR
   Ellis F, 2003, WORLD DEV, V31, P1495, DOI 10.1016/S0305-750X(03)00111-6
   Erenstein O, 2002, SOIL TILL RES, V67, P115, DOI 10.1016/S0167-1987(02)00062-4
   Erenstein O, 2008, SOIL TILL RES, V100, P1, DOI 10.1016/j.still.2008.05.001
   Erenstein O, 2012, J SUSTAIN AGR, V36, P180, DOI 10.1080/10440046.2011.620230
   Erenstein O, 2009, FIELD CROP RES, V111, P166, DOI 10.1016/j.fcr.2008.12.003
   Garrity DP, 2010, FOOD SECUR, V2, P197, DOI 10.1007/s12571-010-0070-7
   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
   Govaerts B, 2007, PLANT SOIL, V291, P39, DOI 10.1007/s11104-006-9172-6
   Govaerts B, 2005, FIELD CROP RES, V94, P33, DOI 10.1016/j.fcr.2004.11.003
   Govaerts B, 2009, CRIT REV PLANT SCI, V28, P97, DOI 10.1080/07352680902776358
   Govaerts B, 2006, APPL SOIL ECOL, V32, P305, DOI 10.1016/j.apsoil.2005.07.010
   Grabowski PP, 2014, INT J AGR SUSTAIN, V12, P37, DOI 10.1080/14735903.2013.782703
   Grabowski PP, 2014, DETERMINANTS ADOPTIO
   Haggblade S., 2003, 108 EPTD
   Harrington L., 2005, Agromeridian, V10, P32
   Hobbs PR, 2007, J AGR SCI-CAMBRIDGE, V145, P127, DOI 10.1017/S0021859607006892
   IPCC5, 2014, AR5 IPCC5
   Ito M, 2007, CROP PROT, V26, P417, DOI 10.1016/j.cropro.2006.06.017
   Jat ML, 2009, SOIL TILL RES, V105, P112, DOI 10.1016/j.still.2009.06.003
   Johansen C, 2012, FIELD CROP RES, V132, P18, DOI 10.1016/j.fcr.2011.11.026
   Kassam A, 2009, INT J AGR SUSTAIN, V7, P292, DOI 10.3763/ijas.2009.0477
   Kumwenda J. D. T., 1998, AFRICAS EMERGING MAI, V305
   LAL R, 1974, PLANT SOIL, V40, P321, DOI 10.1007/BF00011514
   LAL R, 1974, PLANT SOIL, V40, P129, DOI 10.1007/BF00011415
   Mazvimavi K., 2008, 39 GLOB THEM AGR INT
   Mazvimavi K., 2011, 02 REOSA
   Mazvimavi K, 2009, AGR SYST, V101, P20, DOI 10.1016/j.agsy.2009.02.002
   McConnell D.J., 1997, FARM MANAGEMENT SERI, V13
   Mhlanga B, 2015, CROP PROT, V69, P1, DOI 10.1016/j.cropro.2014.11.010
   Mueller J. P., 2001, Conservation agriculture, a worldwide challenge. First World Congress on conservation agriculture, Madrid, Spain, 1-5 October, 2001. Volume 1: keynote contributions, P211
   Muoni T, 2014, CROP PROT, V66, P1, DOI 10.1016/j.cropro.2014.08.008
   Muoni T, 2013, CROP PROT, V53, P23, DOI 10.1016/j.cropro.2013.06.002
   Mupangwa W, 2014, INT J AGR SUSTAIN, V12, P425, DOI 10.1080/14735903.2013.859836
   Mupangwa W, 2012, FIELD CROP RES, V132, P139, DOI 10.1016/j.fcr.2012.02.020
   Mwale C., 2009, THESIS U LYON ISARA, P1
   Myaka FM, 2006, PLANT SOIL, V285, P207, DOI 10.1007/s11104-006-9006-6
   Ngwira AR, 2012, FIELD CROP RES, V132, P149, DOI 10.1016/j.fcr.2011.12.014
   Ngwira AR, 2013, RENEW AGR FOOD SYST, V28, P350, DOI 10.1017/S1742170512000257
   Nyamangara J, 2014, SOIL USE MANAGE, V30, P550, DOI 10.1111/sum.12149
   Nyamangara J, 2014, EXP AGR, V50, P159, DOI 10.1017/S0014479713000562
   Nyamangara J, 2014, AGR ECOSYST ENVIRON, V187, P146, DOI 10.1016/j.agee.2013.10.005
   Nyamangara J, 2013, SOIL TILL RES, V126, P19, DOI 10.1016/j.still.2012.07.018
   Owenya MZ, 2011, INT J AGR SUSTAIN, V9, P145, DOI 10.3763/ijas.2010.0557
   Patzek TW, 2008, CRIT REV PLANT SCI, V27, P272, DOI 10.1080/07352680802247971
   Ried Karin, 2006, Aust Fam Physician, V35, P635
   Rusinamhodzi L, 2011, AGRON SUSTAIN DEV, V31, P657, DOI 10.1007/s13593-011-0040-2
   RYCROFT RW, 1994, RES POLICY, V23, P613, DOI 10.1016/0048-7333(94)90012-4
   Sakala W., 1998, THESIS, P217
   Sakala W.D., 1994, Crop management interventions in traditional maize pigeonpea intercropping systems in Malawi
   Sileshi G, 2008, PLANT SOIL, V307, P1, DOI 10.1007/s11104-008-9547-y
   Sims BG, 2012, APPL ENG AGRIC, V28, P813
   Stagnari F, 2009, SUSTAIN AGR REV, V1, P55, DOI 10.1007/978-1-4020-9654-9_5
   Statistix, 2008, STAT 9 AN SOFTW
   Thierfelder C, 2012, SOIL USE MANAGE, V28, P209, DOI 10.1111/j.1475-2743.2012.00406.x
   Thierfelder C, 2010, EXP AGR, V46, P309, DOI 10.1017/S001447971000030X
   Thierfelder C, 2010, J CROP IMPROV, V24, P113, DOI 10.1080/15427520903558484
   Thierfelder C., 2011, Innovations as Key to the Green Revolution in Africa, P1269, DOI [10.1007/978-90-481-2543-2_129, DOI 10.1007/978-90-481-2543-2_129]
   Thierfelder C, 2015, FOOD SECUR, V7, P15, DOI 10.1007/s12571-014-0404-y
   Thierfelder C, 2015, RENEW AGR FOOD SYST, V30, P328, DOI 10.1017/S1742170513000550
   Thierfelder C, 2015, SOIL TILL RES, V146, P230, DOI 10.1016/j.still.2014.10.015
   Thierfelder C, 2013, FIELD CROP RES, V142, P47, DOI 10.1016/j.fcr.2012.11.010
   Thierfelder C, 2009, SOIL TILL RES, V105, P217, DOI 10.1016/j.still.2009.07.007
   Umar BB, 2012, J SUSTAIN AGR, V36, P908, DOI 10.1080/10440046.2012.661700
   Umar BB, 2014, RENEW AGR FOOD SYST, V29, P277, DOI 10.1017/S1742170513000148
   Valbuena D, 2012, FIELD CROP RES, V132, P175, DOI 10.1016/j.fcr.2012.02.022
   Verhulst N, 2010, ADV SOIL SCI-SER, P137
   VOGEL H, 1994, SOIL TILL RES, V31, P169, DOI 10.1016/0167-1987(94)90078-7
   Wall P., 2009, INCREASING PRODUCTIV
   Wall PC, 2007, J CROP IMPROV, V19, P137, DOI 10.1300/J411v19n01_07
   Wilcox R. R., 2006, ENCY MEASUREMENT STA, V1416
   ZCATF (Zimbabwe Conservation Agriculture Task Force), 2009, FARM FUT GUID CONS A FARM FUT GUID CONS A
   Zhang FS, 2003, PLANT SOIL, V248, P305, DOI 10.1023/A:1022352229863
NR 96
TC 27
Z9 27
U1 1
U2 28
PU CAMBRIDGE UNIV PRESS
PI NEW YORK
PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA
SN 0014-4797
EI 1469-4441
J9 EXP AGR
JI Exp. Agric.
PD OCT
PY 2016
VL 52
IS 4
BP 579
EP 604
DI 10.1017/S0014479715000265
PG 26
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA DX2WK
UT WOS:000384233100005
DA 2025-01-10
ER

PT J
AU Janta, P
   Leeraphun, N
   Thapmanee, K
   Niyomna, P
   Sintuya, H
   Setthapun, W
   Maneechot, P
   Sriprapakhan, P
   Chollacoop, N
   Silva, K
AF Janta, Pidpong
   Leeraphun, Nattapat
   Thapmanee, Kampanat
   Niyomna, Phumanan
   Sintuya, Hathaithip
   Setthapun, Worajit
   Maneechot, Pisit
   Sriprapakhan, Preecha
   Chollacoop, Nuwong
   Silva, Kampanart
TI Energy resilience assessment: Incorporating consideration of
   recoverability and adaptability in risk assessment of energy
   infrastructure
SO ENERGY FOR SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE Energy resilience; Recover; Adapt; Climate adaptation; Risk assessment;
   Renewable
ID METRICS
AB Large-scale deployment of renewable energy is being witnessed around the world as a result of global commitment towards carbon neutrality and Sustainable Development Goals, particularly SDGs 7 and 13. Renewable energy infrastructure becomes more vulnerable to disasters and climate change requiring revisit of risk assessment to ensure its resilience against future threats. This study proposes an energy resilience assessment framework that enables evaluation of all attributes of resilient energy infrastructure: prepare, absorb, recover, and adapt. Building upon risk assessment, the framework helps the energy infrastructure prepare for future disruptions and absorb resulting consequences. It introduces evaluation of changes of risks over time, which enables better recoverability. It also ensures engagement of stakeholders that enhances adaptability of the system towards future threats. A case study of energy resilience assessment using the proposed framework with Chiang Mai Rajabhat University's 702 kW solar power plant proved practicality of the framework and its ability to contribute to system's recoverability and adaptability. ASEAN Energy Resilience Assessment Guideline was developed and promoted in policy domain as an example of efforts to put the framework into broader practice.
C1 [Janta, Pidpong; Thapmanee, Kampanat; Niyomna, Phumanan; Chollacoop, Nuwong; Silva, Kampanart] Natl Sci & Technol Dev Agcy NSTDA, Natl Energy Technol Ctr ENTEC, 111 Thailand Sci Pk,Phahonyothin Rd, Khlong Neung 12120, Pathum Thani, Thailand.
   [Leeraphun, Nattapat; Sintuya, Hathaithip; Setthapun, Worajit] Chiang Mai Rajabhat Univ, Asian Dev Coll Community Econ & Technol AdiCET, Chiang Mai 50180, Mae Rim, Thailand.
   [Maneechot, Pisit] Naresuan Univ, Sch Renewable Energy & Smart Grid Technol, Phitsanulok 65000, Mueng Phitsanul, Thailand.
   [Sriprapakhan, Preecha] Maha Sarakham Univ, Fac Sci, Dept Phys, Kantara Wichai 44150, Maha Sarakham, Thailand.
C3 National Science & Technology Development Agency - Thailand; Chiang Mai
   Rajabhat University; Naresuan University; Mahasarakham University
RP Silva, K (corresponding author), Natl Sci & Technol Dev Agcy NSTDA, Natl Energy Technol Ctr ENTEC, 111 Thailand Sci Pk,Phahonyothin Rd, Khlong Neung 12120, Pathum Thani, Thailand.
EM pidpong.jan@entec.or.th; nattapat_lee@cmru.ac.th;
   kampanat.tha@ncr.nstda.or.th; phumanan.niy@entec.or.th;
   hathaithip.nin@g.cmru.ac.th; worajit@g.cmru.ac.th; pisitm@nu.ac.th;
   preecha.sr@msu.ac.th; nuwong.cho@entec.or.th; kampanart.sil@entec.or.th
FX The authors would like to express sincere gratitude to the Asian
   Development College for Community Economy and Technology (adi-CET) ,
   especially the power plant operators and relevant stakeholders for
   providing robust and useful information for analysis and performing
   energy resilience assessment. All individuals who contributed to the
   effective completion of this study are sincerely appreciated by the
   authors.
CR ADB, 2019, Nauru: Solar Power Development Project (Nauru)
   ADB, 2013, Tonga: Outer Island Renewable Energy Project (Tonga)
   Anderson Katherine H., 2019, Energy Resilience Assessment Methodology
   [Anonymous], 2021, Glasgow Climate Pact
   [Anonymous], 2015, Sendai Framework for disaster risk reduction 2015 -2030
   [Anonymous], 2015, United Nations Transforming Our World: the 2030 Agenda for Sustainable Development
   CCSI Equitable Origin Business & Human Rights Resource Centre & UN SDSN, 2019, Mapping the renewable energy sector to the sustainable development goals: An atlas
   ENTEC, 2022, ASEAN Energy Resilience Assessment Guideline
   Gatto A, 2020, ENERG POLICY, V136, DOI 10.1016/j.enpol.2019.111007
   Henry D, 2012, RELIAB ENG SYST SAFE, V99, P114, DOI 10.1016/j.ress.2011.09.002
   Hotchkiss E. L., 2019, Resilience roadmap: A collaborative approach to multijurisdictional resilience planning
   Janta P, 2024, ENVIRON DEV SUSTAIN, DOI 10.1007/s10668-024-04745-9
   Kim SK, 2023, SCI TOTAL ENVIRON, V859, DOI 10.1016/j.scitotenv.2022.160175
   Marhavilas PK, 2011, J LOSS PREVENT PROC, V24, P477, DOI 10.1016/j.jlp.2011.03.004
   Molyneaux L, 2016, RENEW SUST ENERG REV, V59, P1068, DOI 10.1016/j.rser.2016.01.063
   OECD, 2024, Resilient cities
   Ouyang M, 2012, CHAOS, V22, DOI 10.1063/1.4737204
   Roege PE, 2014, ENERG POLICY, V72, P249, DOI 10.1016/j.enpol.2014.04.012
   Silva K, 2022, ENERGIES, V15, DOI 10.3390/en15010171
   Silva K, 2021, NUCL ENG DES, V373, DOI 10.1016/j.nucengdes.2020.111022
   Stout S. R., 2019, Power sector resilience planning guidebook: A self-guided reference for practitioners
   Wu YN, 2018, MATH PROBL ENG, V2018, DOI 10.1155/2018/5213504
   Yodpijit N., 2024, Fire risk assessment of small-scale biomass power plant with modified Ahp methodology
NR 23
TC 1
Z9 1
U1 32
U2 32
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0973-0826
EI 2352-4669
J9 ENERGY SUSTAIN DEV
JI Energy Sustain Dev.
PD AUG
PY 2024
VL 81
AR 101506
DI 10.1016/j.esd.2024.101506
EA JUL 2024
PG 10
WC Green & Sustainable Science & Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Energy & Fuels
GA YI6O9
UT WOS:001267903000001
DA 2025-01-10
ER

PT J
AU Bacha, AE
   Ahriz, A
   Alshenaifi, M
   Alfraidi, S
   Noaime, E
   Alsolami, B
   Ghosh, A
   Bouzaher, S
   Doulos, LT
   Mesloub, A
AF Bacha, Alaa Eddine
   Ahriz, Atef
   Alshenaifi, Mohammad
   Alfraidi, Sultan
   Noaime, Emad
   Alsolami, Badr
   Ghosh, Aritra
   Bouzaher, Soumia
   Doulos, Lambros T.
   Mesloub, Abdelhakim
TI A Comprehensive Study on Outdoor Thermal Comfort in Arid Urban
   Environments through Microclimatic Analysis of Urban Density
SO BUILDINGS
LA English
DT Article
DE urban built environment; urban density; microclimate; outdoor thermal
   comfort; arid lands; city of Biskra
AB Rapid urbanization across hot arid environments transforms local microclimates, yet linkages between density, layout, and outdoor thermal comfort remain inadequately characterized. This study investigates these correlations in the desert city of Biskra, Algeria. We conducted extensive in-situ measurement campaigns during peak summer and winter periods across six neighborhoods spanning low to high-rise density fabrics. We captured air temperature, humidity, and wind velocity to enable thermal comfort assessment via the Effective Temperature (ET) and Equivalent Temperature (TEK) stress indices. Index sensitivity to density metrics from 23-86% was explored through One-Variable-At-A-Time (OVAT) analysis. Results show marked summer comfort deterioration with rising density due to constrained ventilation. However, higher densities demonstrate superior winter warmth through wind blocking despite reduced sunlight exposure. Sharp nonlinear differences emerge between seasons. Precision density thresholds prove difficult to define conclusively given typological diversities. However, indicative ranges tied to hazards are identified, providing guidelines for informed climatic adaptation. This research delivers vital evidence to advance bioclimatic strategies for enhancing habitability amidst urban expansion across delicate hot deserts.
C1 [Bacha, Alaa Eddine; Bouzaher, Soumia] Mohamed Khider Univ, Lab Design & Modeling Architectural & Urban Forms, Biskra 07000, Algeria.
   [Bacha, Alaa Eddine; Bouzaher, Soumia] Mohamed Khider Univ Biskra, Dept Architecture, Biskra 07000, Algeria.
   [Ahriz, Atef] Univ Tebessa, Appl Civil Engn Lab LGCA, Constantine Rd, Tebessa 12000, Algeria.
   [Ahriz, Atef] Univ Tebessa, Dept Architecture, Constantine Rd, Tebessa 12000, Algeria.
   [Alshenaifi, Mohammad; Alfraidi, Sultan; Noaime, Emad; Mesloub, Abdelhakim] Hail Univ, Dept Architectural Engn, Hail 2440, Saudi Arabia.
   [Alsolami, Badr] Umm Al Qura Univ, Coll Engn & Islamic Architecture, Fac Islamic Architecture, Mecca 24382, Saudi Arabia.
   [Ghosh, Aritra] Univ Exeter, Coll Engn Math & Phys Sci, Renewable Energy, Cornwall TR10 9FE, England.
   [Doulos, Lambros T.] Hellen Open Univ, Sch Appl Arts & Sustainable Design, Parodos Aristotelous 18, Patras 26335, Greece.
C3 Universite Mohamed Khider Biskra; Universite Mohamed Khider Biskra;
   Echahid Cheikh Larbi Tebessi University; Echahid Cheikh Larbi Tebessi
   University; University Ha'il; Umm Al Qura University; University of
   Exeter; Hellenic Open University
RP Ahriz, A (corresponding author), Univ Tebessa, Appl Civil Engn Lab LGCA, Constantine Rd, Tebessa 12000, Algeria.; Ahriz, A (corresponding author), Univ Tebessa, Dept Architecture, Constantine Rd, Tebessa 12000, Algeria.; Doulos, LT (corresponding author), Hellen Open Univ, Sch Appl Arts & Sustainable Design, Parodos Aristotelous 18, Patras 26335, Greece.
EM allaeddine.bacha@univ-biskra.dz; atef.ahriz@univ-tebessa.dz;
   m.alshunify@uoh.edu.sa; s.alfraidi@uoh.edu.sa; e.noaime@uoh.edu.sa;
   bmsolami@uqu.edu.sa; a.ghosh@exeter.ac.uk;
   s.bouzaherlalouani@univ-biskra.dz; doulos@eap.gr; a.maslub@uoh.edu.sa
RI Ghosh, Aritra/AAU-8339-2020; ahriz, atef/M-1047-2017; Doulos,
   Lambros/AAN-9540-2021; Alfraidi, Sultan/HTO-9941-2023; Alshenaifi,
   Mohammad/GPX-5922-2022; Mesloub, Abdelhakim/AAZ-1981-2020; Noaime,
   Emad/AAP-8520-2021
OI Ghosh, Aritra/0000-0001-9409-7592; alfraidi, sultan/0000-0002-1135-4221;
   Noaime, Emad/0000-0003-2182-962X; mesloub,
   abdelhakim/0000-0002-4513-8105; Doulos, Lambros/0000-0003-4038-104X
FU Scientific Research Deanship at University of Ha'il-Saudi Arabia
FX No Statement Available
CR Ahriz A., 2019, Desert, V24, P255, DOI 10.22059/jdesert.2019.76384
   Ahriz A., 2017, Int. J. Adv. Sci. Res. Eng. (IJASRE), V3, P109
   Ahriz A., 2019, Outtherma Version 1.0
   Ahriz A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14106004
   Ahriz A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13116254
   Chambers J, 2020, CLIMATIC CHANGE, V163, P539, DOI 10.1007/s10584-020-02884-2
   Damyanovic D., 2024, Research Handbook on Urban Design, P331
   Fineschi S, 2020, FRONT FOR GLOB CHANG, V3, DOI 10.3389/ffgc.2020.00030
   Haifler Y.T., 2020, P 38 ECAADE ONL 16 1
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Irfeey AMM, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151410767
   Ji HM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11184951
   Karimi A, 2023, ENVIRON DEV SUSTAIN, V25, P10485, DOI 10.1007/s10668-022-02530-0
   Kumar P, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102297
   Ma XT, 2022, URBAN CLIM, V44, DOI 10.1016/j.uclim.2022.101192
   Matallah M.E., 2023, Spatiotemporal Thermal Comfort Assessment within Multi-Configurations of an Agricultural Oasis Settlements in Arid Climate
   Matallah M.E., 2020, Quantification of the Outdoor Thermal Comfort Process: Simulation & Calculation Data
   Matallah ME, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11020185
   Mauree D, 2019, RENEW SUST ENERG REV, V112, P733, DOI 10.1016/j.rser.2019.06.005
   Muniz-Gäal LP, 2020, BUILD ENVIRON, V169, DOI 10.1016/j.buildenv.2019.106547
   Njungwi N.W., 2021, Ph.D. Thesis
   Obe OB, 2023, CITY ENVIRON INTERAC, V20, DOI 10.1016/j.cacint.2023.100128
   Ogur A., 2023, J. Des. Resil. Archit. Plan, V4, P78
   Peric A, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151512079
   Qaoud R, 2023, AIN SHAMS ENG J, V14, DOI 10.1016/j.asej.2023.102525
   Sharma M, 2021, J THERM ENG, V7, P2068, DOI 10.18186/thermal.1051603
   testo, TESTO Testo 480-Digital Temperature, Humidity and Air Flow Meter
   WeatherSpark, Climate and Average Weather Year Round in Biskra
   Winkler LH, 2023, AEROSP MED HUM PERF, V94, P444, DOI 10.3357/AMHP.6190.2023
   Winklmayr Claudia, 2023, J Health Monit, V8, P3, DOI 10.25646/11651
NR 30
TC 1
Z9 1
U1 5
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2075-5309
J9 BUILDINGS-BASEL
JI BUILDINGS-BASEL
PD MAR
PY 2024
VL 14
IS 3
AR 700
DI 10.3390/buildings14030700
PG 22
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA MC9V9
UT WOS:001191554800001
OA gold
DA 2025-01-10
ER

PT C
AU Saeed, A
   Tingle, JS
   Williams, C
AF Saeed, Athar
   Tingle, Jeb S.
   Williams, Charles
BE Flintsch, GW
   Amarh, EA
   Harvey, J
   Al-Qadi, IL
   Ozer, H
   LoPresti, D
TI Evaluation and Documentation of Production and Reduction Methods for
   Greenhouse Gas Emissions in Flexible Pavements
SO PAVEMENT, ROADWAY, AND BRIDGE LIFE CYCLE ASSESSMENT 2024, ISPRB LCA 2024
SE RILEM Bookseries
LA English
DT Proceedings Paper
CT International Symposium on Pavement, Roadway, and Bridge Life Cycle
   Assessment (ISPRB LCA)
CY JUN 06-08, 2024
CL Arlington, VA
SP Virginia Tech
DE Greenhouse Gas Emissions; Global Warming Potential; Carbon Dioxide
   Equivalent; Flexible Pavements; Reduction Strategies
ID LIFE-CYCLE ASSESSMENT; ENVIRONMENTAL IMPACTS; MIXTURES
AB The United States Government has committed to improving the nation's preparedness and resilience to the effects of a changing climate by targeting net-zero greenhouse gas (GHG) emissions by the year 2050 and limiting global warming to an increase of 1.5 degrees C. The Department of Defense's (DOD) role is to develop strategic processes to ensure net-zero emissions from the federal procurement. The DOD's Climate Adaption Plan outlines five Lines of Efforts (LOEs). LOE 1 considers social costs of GHG emissions in cost-benefit and life-cycle analyses, and LOE 4 deploys GHG emission reduction construction technologies. This paper synthesizes GHG emissions data from the literature to provide a range of expected (baseline) GHG emissions associated with a flexible pavement's life cycle from documented and published sources. This paper also explores opportunities for reducing GHG emissions that were identified in the literature. A second paper will formalize strategies for reducing GHG emissions for the flexible pavement life cycle and develop GHG emissions associated with optimized strategies.
C1 [Saeed, Athar] Saeed & Associates Consultants Inc, Dba Saeed Consultants, Plano, TX 75074 USA.
   [Tingle, Jeb S.; Williams, Charles] US Army Engineer Res & Dev Ctr, Vicksburg, MS USA.
C3 United States Department of Defense; United States Army; U.S. Army Corps
   of Engineers; U.S. Army Engineer Research & Development Center (ERDC)
RP Saeed, A (corresponding author), Saeed & Associates Consultants Inc, Dba Saeed Consultants, Plano, TX 75074 USA.
EM asaeed@saeedconsult.com
CR [Anonymous], 2021, Department of Defense DOD Climate Adaptation Plan 2022 Progress Report
   [Anonymous], 2023, EPA 430-R-23-002
   [Anonymous], 2020, EPA Greenhouse gas inventory guidance-Direct emissions from mobile combustion sources
   [Anonymous], 2017, ISO 21930:2017
   [Anonymous], 2006, ISO 14025: Environmental labels and declarations-Type III environmental declarations-Principles and procedures
   [Anonymous], 2021, White House The White House Executive Order 14057 on catalyzing clean energy industries and jobs through federal sustainability
   Aurangzeb Q, 2014, RESOUR CONSERV RECY, V83, P77, DOI 10.1016/j.resconrec.2013.12.004
   Babashamsi P, 2016, J TEKNOL, V78, P117
   Cao R., 2017, Pavement LCA, P209
   Cargill, 2023, Anova Asphalt additives support industry goals of zero carbon emissions through verified EPDs
   Chehvoits J., 2010, First International Conference on Pavement Preservation, P27
   Farina A, 2017, RESOUR CONSERV RECY, V117, P204, DOI 10.1016/j.resconrec.2016.10.015
   Intergovt Panel Climate Change, 1990, CLIMATE CHANGE: THE IPCC SCIENTIFIC ASSESSMENT, P1
   ISO, 2006, 140402006 ISO
   Jamshidi A, 2017, J TRAFFIC TRANSP ENG, V4, P118, DOI 10.1016/j.jtte.2017.02.001
   Jiang R, 2019, TRANSPORT RES D-TR E, V77, P148, DOI 10.1016/j.trd.2019.10.010
   Liu NYZ, 2022, J TRAFFIC TRANSP ENG, V9, P532, DOI 10.1016/j.jtte.2022.06.001
   Mizari M., 2021, Report 20-56
   Muench ST, 2010, TRANSPORT RES REC, P36, DOI 10.3141/2151-05
   Park K, 2003, J CONSTR ENG M ASCE, V129, P25, DOI 10.1061/(ASCE)0733-9364(2003)129:1(25)
   Peng B., 2020, expwy. Const. Sust., V12
   Savan C.M., 2015, ReportMPC 15-281
   Schcat J., 2022, GHG emissions inventory for asphalt mix production in the United States
   Vega D., 2022, LCA of HMA with Rec. Conc. Agg. for Road Pav. Const. Int. Jrnl. Pav. Eng., V23, P923
   Xiao F., 2018, J. Const. and Bld. Mat., V180, P579
   Zulu K, 2020, CIV ENG J-TEHRAN, V6, P210, DOI 10.28991/cej-2020-03091465
NR 26
TC 0
Z9 0
U1 2
U2 2
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2211-0844
EI 2211-0852
BN 978-3-031-61587-0; 978-3-031-61585-6; 978-3-031-61584-9
J9 RILEM BOOKSER
PY 2024
VL 51
BP 126
EP 136
DI 10.1007/978-3-031-61585-6_14
PG 11
WC Construction & Building Technology; Engineering, Civil
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Engineering
GA BX3SU
UT WOS:001284684700014
DA 2025-01-10
ER

PT J
AU Moritz, L
   Kuhn, L
   Bobojonov, I
AF Moritz, Laura
   Kuhn, Lena
   Bobojonov, Ihtiyor
TI The role of peer imitation in agricultural index insurance adoption:
   Findings from lab-in-the-field experiments in Kyrgyzstan
SO REVIEW OF DEVELOPMENT ECONOMICS
LA English
DT Article
DE adoption behavior; agricultural index insurance; experimental economics;
   peer effects
ID SOCIAL NETWORKS; TECHNOLOGY ADOPTION; RAINFALL INSURANCE; DROUGHT
   INSURANCE; DEMAND; DYNAMICS; SECURITY; PATTERNS; ETHIOPIA; CHOICE
AB Frequent climate shocks require farmers in developing countries to increase their resilience. Although index insurance is often discussed as a promising climate adaptation strategy, take-up rates are still low. This study primarily explores the role of peer behavior as peer imitation in the demand for three marketable and unsubsidized crop index insurance options. Furthermore, the influence of trust and understanding is investigated. We collected data in lab-in-the-field experiments among farmers in Kyrgyzstan, where index insurance is planned for imminent implementation. Applying ordered logit estimations, our results show significant and strong peer imitation effects. Imitation attitudes decrease with own insurance experience and received insurance payouts, but intensify with peer size, insurance trust and practical insurance understanding. While trust robustly increases index insurance adoption, understanding effects only gain significance in the dynamic perspective. These findings underline the importance of community-based extension treatments and trust toward the uptake of innovative agricultural technologies in the first steps of dissemination.
C1 [Moritz, Laura; Kuhn, Lena; Bobojonov, Ihtiyor] Leibniz Inst Agr Dev Transit Econ IAMO, Agr Markets Dept, Halle An Der Saale, Germany.
   [Moritz, Laura] Leibniz Inst Agr Dev Transit Econ IAMO, Theodor Lieser Str 2, D-06120 Halle An Der Saale, Germany.
C3 Leibniz Association; Leibniz Institut fur Agrarentwicklung in
   Transformationsokonomien (IAMO); Leibniz Association; Leibniz Institut
   fur Agrarentwicklung in Transformationsokonomien (IAMO)
RP Moritz, L (corresponding author), Leibniz Inst Agr Dev Transit Econ IAMO, Theodor Lieser Str 2, D-06120 Halle An Der Saale, Germany.
EM moritz@iamo.de
RI Moritz, Laura/JPK-5267-2023
OI Kuhn, Lena/0000-0002-1453-0040; Moritz, Laura/0000-0002-0049-6507;
   Bobojonov, Ihtiyor/0000-0003-2166-6234
FU Bundesministerium fur Bildung und Forschung [01LZ1705A]
FX Bundesministerium fur Bildung und Forschung, Grant/Award Number:
   01LZ1705A
CR Adaptation Fund Board, 2020, PROP KYRG
   Ammermueller A, 2009, J LABOR ECON, V27, P315, DOI 10.1086/603650
   Bandiera O, 2006, ECON J, V116, P869, DOI 10.1111/j.1468-0297.2006.01115.x
   Barnett BJ, 2008, WORLD DEV, V36, P1766, DOI 10.1016/j.worlddev.2007.10.016
   BERNHEIM BD, 1994, J POLIT ECON, V102, P841, DOI 10.1086/261957
   Binswanger-Mkhize HP, 2012, J DEV STUD, V48, P187, DOI 10.1080/00220388.2011.625411
   Bobojonov I, 2014, AGR ECOSYST ENVIRON, V188, P245, DOI 10.1016/j.agee.2014.02.033
   Boucher V, 2014, J APPL ECONOMET, V29, P91, DOI 10.1002/jae.2299
   Brock WA, 2001, REV ECON STUD, V68, P235, DOI 10.1111/1467-937X.00168
   Brück T, 2014, J COMP ECON, V42, P819, DOI 10.1016/j.jce.2013.02.003
   Cai HB, 2015, REV ECON STAT, V97, P287, DOI 10.1162/REST_a_00476
   Cai J, 2020, AM ECON REV, V110, P2422, DOI 10.1257/aer.20190661
   Cai J, 2015, AM ECON J-APPL ECON, V7, P81, DOI 10.1257/app.20130442
   Carter M, 2017, ANNU REV RESOUR ECON, V9, P421, DOI 10.1146/annurev-resource-100516-053352
   Carter MichaelR., 2008, Insuring the Never Before Insured: Explaining Index Insurance Through Financial Education Games
   Casaburi L, 2018, AM ECON REV, V108, P3778, DOI 10.1257/aer.20171526
   Case A., 1991, 3705 NAT BUR EC RES
   Chantarat S., 2009, WILLINGNESS PAY INDE
   Cole S, 2014, AM ECON REV, V104, P284, DOI 10.1257/aer.104.5.284
   Cole S, 2013, AM ECON J-APPL ECON, V5, P104, DOI 10.1257/app.5.1.104
   Conley T, 2001, AM J AGR ECON, V83, P668, DOI 10.1111/0002-9092.00188
   Conley TG, 2010, AM ECON REV, V100, P35, DOI 10.1257/aer.100.1.35
   Deconinck K, 2015, FOOD POLICY, V51, P83, DOI 10.1016/j.foodpol.2014.12.008
   Dessart FJ, 2019, EUR REV AGRIC ECON, V46, P417, DOI 10.1093/erae/jbz019
   Eltazarov S, 2021, CLIM SERV, V23, DOI 10.1016/j.cliser.2021.100251
   FAO, 2018, COUNTR FACT SHEET FO
   Fay M, 2010, ADAPTING TO CLIMATE CHANGE IN EASTERN EUROPE AND CENTRAL ASIA, P1, DOI 10.1596/978-0-8213-8131-1
   FOSTER AD, 1995, J POLIT ECON, V103, P1176, DOI 10.1086/601447
   Gaurav S, 2011, J MARKETING RES, V48, pS150, DOI 10.1509/jmkr.48.SPL.S150
   GINE X., 2013, Social networks, financial literacy and index insurance
   Gine X, 2008, WORLD BANK ECON REV, V22, P539, DOI 10.1093/wber/lhn015
   Gneezy U., 2017, Handbook of Economic Field Experiments, V1, P439
   Goldsmith-Pinkham P, 2013, J BUS ECON STAT, V31, P253, DOI 10.1080/07350015.2013.801251
   Hazell PBR, 2010, FOOD SECUR, V2, P395, DOI 10.1007/s12571-010-0087-y
   Hellmuth M.E., 2009, Index insurance and climate risk: Prospects for development and disaster management
   Hill R.V., 2013, Demand for weather hedges in India: An empirical exploration of theoretical predictions
   Hill RV, 2013, AGR ECON-BLACKWELL, V44, P385, DOI 10.1111/agec.12023
   IPCC, 2021, REG FACT SHEET AS AR
   Jakab M., 2018, CAN PEOPLE AFFORD PA
   Karlan D, 2014, Q J ECON, V129, P597, DOI 10.1093/qje/qju002
   Krishnan P, 2014, AM J AGR ECON, V96, P308, DOI 10.1093/ajae/aat017
   Kuhn L, 2023, AGRIC FINANCE REV, V83, P1, DOI 10.1108/AFR-04-2021-0039
   Lapinski MK, 2005, COMMUN THEOR, V15, P127, DOI 10.1093/ct/15.2.127
   Le Den X., 2017, INSURANCE WEATHER CL, DOI [10.2834/40222, DOI 10.2834/40222]
   Lundborg P, 2006, J HEALTH ECON, V25, P214, DOI 10.1016/j.jhealeco.2005.02.001
   Luo TY, 2020, EMERG MARK FINANC TR, V56, P1, DOI 10.1080/1540496X.2019.1668774
   MANSKI CF, 1993, REV ECON STUD, V60, P531, DOI 10.2307/2298123
   Manski CF, 2000, J ECON PERSPECT, V14, P115, DOI 10.1257/jep.14.3.115
   Matuschke I, 2009, AGR ECON-BLACKWELL, V40, P493, DOI 10.1111/j.1574-0862.2009.00393.x
   Miranda MJ, 2012, APPL ECON PERSPECT P, V34, P391, DOI 10.1093/aepp/pps031
   Moser CM, 2006, AGR ECON-BLACKWELL, V35, P373, DOI 10.1111/j.1574-0862.2006.00169.x
   Mude A. G., 2010, INSURING DROUGHT REL, DOI [10.2139/ssrn.1844745, DOI 10.2139/SSRN.1844745]
   Norton M, 2014, J DEV STUD, V50, P630, DOI 10.1080/00220388.2014.887685
   Patt A, 2010, GLOBAL ENVIRON CHANG, V20, P153, DOI 10.1016/j.gloenvcha.2009.10.007
   Patt A, 2009, MITIG ADAPT STRAT GL, V14, P737, DOI 10.1007/s11027-009-9196-3
   Platteau JP, 2017, WORLD DEV, V94, P139, DOI 10.1016/j.worlddev.2017.01.010
   Shikuku KM, 2019, WORLD DEV, V115, P94, DOI 10.1016/j.worlddev.2018.11.012
   Stein D, 2018, WORLD BANK ECON REV, V32, P692, DOI 10.1093/wber/lhw045
   Tadesse MA, 2017, AGR ECON-BLACKWELL, V48, P501, DOI 10.1111/agec.12351
   Takahashi K, 2016, WORLD DEV, V78, P324, DOI 10.1016/j.worlddev.2015.10.039
   Trogdon JG, 2008, J HEALTH ECON, V27, P1388, DOI 10.1016/j.jhealeco.2008.05.003
   Wollni M, 2014, ECOL ECON, V97, P120, DOI 10.1016/j.ecolecon.2013.11.010
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P3
   World Bank, 2020, EMPL AGR ILOSTAT DAT
   Wydick B, 2011, WORLD DEV, V39, P974, DOI 10.1016/j.worlddev.2009.10.015
NR 65
TC 3
Z9 3
U1 2
U2 17
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1363-6669
EI 1467-9361
J9 REV DEV ECON
JI Rev. Dev. Econ.
PD AUG
PY 2023
VL 27
IS 3
BP 1649
EP 1672
DI 10.1111/rode.12992
EA APR 2023
PG 24
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA L9WE6
UT WOS:000961782000001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Wang, SZ
AF Wang, Shengzhe
TI Simplified analytical solutions to the yaw dynamics of modular floating
   structures
SO OCEAN ENGINEERING
LA English
DT Article
DE Floating structure; Regular waves; Wave spectrum; RAO; Climate
   adaptation; Dynamic analysis
ID INDUCED MOTION; COASTAL; VLFS
AB Climate change has necessitated the development of modular floating structures (MFS) as a sustainable solution to enhance the resiliency of coastal cities against flooding and sea level rise. Hence, it is imperative that simplified methods of analysis are introduced to the design community. This technical note presents closed-form expressions parameterizing the response amplitude operators (RAO) of rectangular pontoons subject to yaw (rotation about the vertical z axis) to complement solutions derived by Wang (2022) for the five remaining degrees of freedom. Following validation, a parametric investigation was implemented to assess the influence of pontoon geometry on the yaw response of an idealized MFS exposed to realistic sea states. It was identified that pontoons exhibiting a characteristic width smaller than the wavelength are generally more resistant to yaw excitation as they become squarer in shape. Conversely, while larger pontoons are less sensitive to geometric effects, they exhibit heightened sensitivity to changes in wave conditions. The simplified analytical approach thus provides an accessible pathway towards the structural or architectural design of floating structures as a precursor to detailed computational modeling.
C1 [Wang, Shengzhe] Univ Colorado Denver, Dept Civil Engn, Denver, CO 80217 USA.
C3 Children's Hospital Colorado; University of Colorado System; University
   of Colorado Anschutz Medical Campus; University of Colorado Denver
RP Wang, SZ (corresponding author), Univ Colorado Denver, Dept Civil Engn, Denver, CO 80217 USA.
EM shengzhe.2.wang@ucdenver.edu
OI Wang, Shengzhe/0000-0001-9704-4752
CR AIJ, 2004, AIJ GBV 2004
   Amiri A, 2016, J MAR SCI APPL, V15, P41, DOI 10.1007/s11804-016-1342-1
   [Anonymous], 2000, Random seas and design of maritime structures
   ASCE, 2019, Future world vision: infrastructure reimagined
   Bamber JL, 2019, P NATL ACAD SCI USA, V116, P11195, DOI 10.1073/pnas.1817205116
   Bolonkin A.A., 2010, ENG EARTH, P967, DOI 10.1007/978-90-481-9920-4_55
   Cebada-Relea AJ, 2022, OCEAN ENG, V243, DOI 10.1016/j.oceaneng.2021.110263
   Crespo AJC, 2015, COMPUT PHYS COMMUN, V187, P204, DOI 10.1016/j.cpc.2014.10.004
   e Barltrop N.D., 1998, FLOATING STRUCTURES, V1, ed
   Faltinsen Odd, 1993, Sea Loads on Ships and Offshore Structures, V1
   Hadzic I, 2005, APPL MATH MODEL, V29, P1196, DOI 10.1016/j.apm.2005.02.014
   Hu ZZ, 2017, J FLUID STRUCT, V75, P99, DOI 10.1016/j.jfluidstructs.2017.08.005
   ISO, 2007, 10132007 ISO
   ISO, 1984, 68971984 ISO
   Johann FA, 2015, J WIND ENG IND AEROD, V142, P26, DOI 10.1016/j.jweia.2015.03.001
   Kashiwagi M, 2004, J MAR SCI TECHNOL, V9, P14, DOI 10.1007/s00773-003-0168-0
   Kwok K.C. S., 2015, Wind-induced motion of tall buildings: designing for habitability
   Lamas-Pardo M, 2015, OCEAN ENG, V109, P677, DOI 10.1016/j.oceaneng.2015.09.012
   Mohammed A., 2019, SUSTAINABLE FLOATING
   Mouginot J, 2019, P NATL ACAD SCI USA, V116, P9239, DOI 10.1073/pnas.1904242116
   Nerem RS, 2018, P NATL ACAD SCI USA, V115, P2022, DOI 10.1073/pnas.1717312115
   Pan K, 2016, COMPUT PART MECH, V3, P155, DOI 10.1007/s40571-015-0069-0
   Pernice Raffaele., 2009, Journal of Architecture and Planning, V74, P1847, DOI [10.3130/aija.74.1847, DOI 10.3130/AIJA.74.1847, DOI 10.3130/aija.74.1847]
   Ren B, 2015, APPL OCEAN RES, V50, P1, DOI 10.1016/j.apor.2014.12.003
   Ren NX, 2019, OCEAN ENG, V176, P158, DOI 10.1016/j.oceaneng.2019.02.052
   Rignot E, 2019, P NATL ACAD SCI USA, V116, P1095, DOI 10.1073/pnas.1812883116
   van Koten H., 1967, 67107 TNOIBBC BI, P67
   Vugts J.H., 1968, The Hydrodynamic Coefficients for Swaying, Heaving, and Rolling of Cylinders in a Free Surface
   Wang B.T., 2021, AUTOMATING CITIES DE
   Wang C., 2015, OCEAN ENG OCEANOGR, V3, P303
   Wang CM, 2011, PROCEDIA ENGINEER, V14, DOI 10.1016/j.proeng.2011.07.007
   Wang G, 2020, OCEAN ENG, V216, DOI 10.1016/j.oceaneng.2020.107996
   Wang G, 2021, SHIPS OFFSHORE STRUC, V16, P184, DOI 10.1080/17445302.2020.1718267
   Wang G, 2019, J CLEAN PROD, V222, P520, DOI 10.1016/j.jclepro.2019.03.007
   Wang S., 2022, OCEAN ENG, V266
   Wang S., 2021, WATER-SUI, V13
   Wang SZ, 2022, J STRUCT ENG, V148, DOI 10.1061/(ASCE)ST.1943-541X.0003295
   Will M., 2022, UN HABITAT PARTNERS
NR 38
TC 1
Z9 1
U1 1
U2 5
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0029-8018
EI 1873-5258
J9 OCEAN ENG
JI Ocean Eng.
PD MAY 15
PY 2023
VL 276
AR 114206
DI 10.1016/j.oceaneng.2023.114206
EA MAR 2023
PG 10
WC Engineering, Marine; Engineering, Civil; Engineering, Ocean;
   Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Oceanography
GA C1IX1
UT WOS:000959550200001
DA 2025-01-10
ER

PT J
AU Doss-Gollin, J
   Keller, K
AF Doss-Gollin, James
   Keller, Klaus
TI A Subjective Bayesian Framework for Synthesizing Deep Uncertainties in
   Climate Risk Management
SO EARTHS FUTURE
LA English
DT Article
DE decision making under deep uncertainty; climate adaptation; climate risk
   management; house elevation; Bayesian statistics
ID WATER INFRASTRUCTURE; ROBUST STRATEGIES; FLOOD; STATIONARITY;
   PROJECTIONS; EMISSIONS; EVENTS; MODELS
AB Projections of nonstationary climate risks can vary considerably from one source to another, posing considerable communication and decision-analytical challenges. One such challenge is how to present trade-offs under deep uncertainty in a salient and interpretable manner. Some common approaches include analyzing a small subset of projections or treating all considered projections as equally likely. These approaches can underestimate risks, hide deep uncertainties, and are mostly silent on which assumptions drive decision-relevant outcomes. Here we introduce and demonstrate a transparent Bayesian framework for synthesizing deep uncertainties to inform climate risk management. The first step of this workflow is to generate an ensemble of simulations representing possible futures and analyze them through standard exploratory modeling techniques. Next, a small set of probability distributions representing subjective beliefs about the likelihood of possible futures is used to weight the scenarios. Finally, these weights are used to compute and characterize trade-offs, conduct robustness checks, and reveal implicit assumptions. We demonstrate the framework through a didactic case study analyzing how high to elevate a house to manage coastal flood risks.
C1 [Doss-Gollin, James] Rice Univ, Dept Civil & Environm Engn, Houston, TX 77005 USA.
   [Keller, Klaus] Dartmouth Coll, Thayer Sch Engn, Hanover, NH USA.
C3 Rice University; Dartmouth College
RP Doss-Gollin, J (corresponding author), Rice Univ, Dept Civil & Environm Engn, Houston, TX 77005 USA.
EM jdossgollin@rice.edu
RI Doss-Gollin, James/J-4273-2014
OI Doss-Gollin, James/0000-0002-3428-2224
FU NOAA through the Mid-Atlantic Regional Integrated Sciences and
   Assessments (MARISA) program under NOAA [NA16OAR4310179]; NOAA through
   Penn State Initiative for Resilient Communities (PSIRC) by a Strategic
   Plan seed grant from the Penn State Office of the Provost; Center for
   Climate Risk Management (CLIMA); Rock Ethics Institute; Hamer Center for
   Community Design; Rice University; Dartmouth College; Penn State Law
FX This work was supported by the NOAA through the Mid-Atlantic Regional
   Integrated Sciences and Assessments (MARISA) program under NOAA grant
   NA16OAR4310179 and through the Penn State Initiative for Resilient
   Communities (PSIRC) by a Strategic Plan seed grant from the Penn State
   Office of the Provost, with co-support from the Center for Climate Risk
   Management (CLIMA), the Rock Ethics Institute, Penn State Law, and the
   Hamer Center for Community Design. JDG thanks Rice University for
   support. KK thanks Dartmouth College for support. The authors thank
   Sitara Baboolal, Courtney Cooper, Tor Erlend Fjelde, Catalina
   Gonzalez-Duenas, Adam Pollack, Vivek Srikrishnan, Skip Wishbone, and two
   anonymous peer reviewers for helpful comments that improved this
   research.
CR Aerts JCJH, 2018, WATER-SUI, V10, DOI 10.3390/w10111646
   American Society of Civil Engineers, 2006, FLOOD RES DES CONSTR
   [Anonymous], 1990, Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis
   Arrow K, 2013, SCIENCE, V341, P349, DOI 10.1126/science.1235665
   ASCE, 2015, FLOOD RES DES CONSTR
   ASCE, 2013, MIN DELOADBUILD, DOI DOI 10.1061/9780784412916
   BANKES S, 1993, OPER RES, V41, P435, DOI 10.1287/opre.41.3.435
   Besançon M, 2021, J STAT SOFTW, V98, P1, DOI 10.18637/jss.v098.116
   Bessette DL, 2017, RISK ANAL, V37, P1993, DOI 10.1111/risa.12743
   Betancourt M, 2018, Arxiv, DOI [arXiv:1701.02434, DOI 10.48550/ARXIV.1701.02434]
   Bezanson J, 2012, Arxiv, DOI arXiv:1209.5145
   Borgomeo E, 2018, EARTHS FUTURE, V6, P468, DOI 10.1002/2017EF000730
   BOX GEP, 1976, J AM STAT ASSOC, V71, P791, DOI 10.2307/2286841
   Brown C, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011212
   Bruneau M, 2017, J STRUCT ENG, V143, DOI 10.1061/(ASCE)ST.1943-541X.0001893
   Chester MV, 2020, NAT CLIM CHANGE, V10, P488, DOI 10.1038/s41558-020-0741-0
   Coles SG, 1996, J R STAT SOC C-APPL, V45, P463
   Hoffman MD, 2011, Arxiv, DOI [arXiv:1111.4246, 10.48550/arxiv.1111.4246, DOI 10.48550/ARXIV.1111.4246, 10.48550/arXiv.1111.4246]
   de Moel H, 2014, REG ENVIRON CHANGE, V14, P895, DOI 10.1007/s10113-013-0420-z
   de Neufville R., 2019, Decision making under deep uncertainty: from theory to practice, P117
   de Ruig LT, 2020, WATER RESOUR ECON, V32, DOI 10.1016/j.wre.2019.100147
   DeConto RM, 2016, NATURE, V531, P591, DOI 10.1038/nature17145
   Doss-Gollin J, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0278
   Doss-Gollin J, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001190
   Doss-Gollin J, 2019, EARTHS FUTURE, V7, P734, DOI 10.1029/2019EF001154
   Eijgenraam C, 2014, INTERFACES, V44, P7, DOI 10.1287/inte.2013.0721
   England J.F., 2018, Guidelines for determining flood flow frequency-Bulletin, P4, DOI [DOI 10.3133/TM4B5, 10.3133/tm4b5]
   Errickson FC, 2021, NATURE, V592, P564, DOI 10.1038/s41586-021-03386-6
   Farnham DJ, 2018, WATER RESOUR RES, V54, P3809, DOI 10.1002/2017WR021318
   Farnham DJ, 2017, GEOPHYS RES LETT, V44, P12236, DOI 10.1002/2017GL075959
   Fischbach J. R., 2012, TR1259CPRA RAND CORP
   Fletcher S, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4664
   Fletcher S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09677-x
   Fletcher SM, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(asce)wr.1943-5452.0000823, 10.1061/(ASCE)WR.1943-5452.0000823]
   Garner GG, 2018, ENVIRON MODELL SOFTW, V107, P96, DOI 10.1016/j.envsoft.2018.05.006
   Ge H, 2018, PR MACH LEARN RES, V84
   Gelman A., 2020, arXiv, DOI [10.48550/arxiv.2011.01808, 10.48550/arXiv.2011.01808, DOI 10.48550/ARXIV.2011.01808]
   Gelman A, 2013, BRIT J MATH STAT PSY, V66, P8, DOI 10.1111/j.2044-8317.2011.02037.x
   Groves DG, 2007, GLOBAL ENVIRON CHANG, V17, P73, DOI 10.1016/j.gloenvcha.2006.11.006
   Gupta A, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR031291
   Haasnoot M, 2021, CLIM RISK MANAG, V34, DOI 10.1016/j.crm.2021.100355
   Hausfather Z, 2020, NATURE, V577, P618, DOI 10.1038/d41586-020-00177-3
   Helgeson C., 2022, PREPRINT, DOI DOI 10.31235/OSF.IO/C4K7D
   Herman JD, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR025502
   Herman JD, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000509
   Ho E, 2019, CLIMATIC CHANGE, V155, P545, DOI 10.1007/s10584-019-02500-y
   Ho M, 2017, WATER RESOUR RES, V53, P982, DOI 10.1002/2016WR019905
   Hui R, 2018, ADV WATER RESOUR, V118, P83, DOI 10.1016/j.advwatres.2018.05.009
   Huizinga J., 2017, Publications Office, DOI DOI 10.2760/16510
   Johnson DR, 2013, J COASTAL RES, P109, DOI 10.2112/SI_67_8
   Keller K, 2021, ANNU REV EARTH PL SC, V49, P95, DOI 10.1146/annurev-earth-080320-055847
   Kopp RE, 2017, EARTHS FUTURE, V5, P1217, DOI 10.1002/2017EF000663
   Kopp RE, 2014, EARTHS FUTURE, V2, P383, DOI 10.1002/2014EF000239
   Kousky C., 2014, J EXTREME EVENTS, V1, DOI [10.1142/S2345737614500018, DOI 10.1142/S2345737614500018]
   Kreibich H, 2005, NAT HAZARD EARTH SYS, V5, P117, DOI 10.5194/nhess-5-117-2005
   Lamontagne JR, 2018, EARTHS FUTURE, V6, P488, DOI 10.1002/2017EF000701
   Lempert RJ, 2002, P NATL ACAD SCI USA, V99, P7309, DOI 10.1073/pnas.082081699
   Lempert RJ, 2000, CLIMATIC CHANGE, V45, P387, DOI 10.1023/A:1005698407365
   Lopez-Cantu T, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac696
   McPhail C, 2018, EARTHS FUTURE, V6, P169, DOI 10.1002/2017EF000649
   Merz B, 2014, NAT HAZARD EARTH SYS, V14, P1921, DOI 10.5194/nhess-14-1921-2014
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P509, DOI 10.5194/nhess-10-509-2010
   Mikkola P, 2021, Arxiv, DOI arXiv:2112.01380
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Moallemi EA, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102186
   Moallemi EA, 2020, ENVIRON MODELL SOFTW, V123, DOI 10.1016/j.envsoft.2019.104551
   Mobley W, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12052098
   Montanari A, 2014, WATER RESOUR RES, V50, P9748, DOI 10.1002/2014WR016092
   Moody P, 2013, WATER RESOUR RES, V49, P3576, DOI 10.1002/wrcr.20228
   Morgan MG, 2014, P NATL ACAD SCI USA, V111, P7176, DOI 10.1073/pnas.1319946111
   Moss R.H., 2000, GUIDANCE PAPERS CROS, P33
   National Oceanographic and Atmospheric Administration, 2022, TID CURR
   National Weather Service Office of Water Prediction, 2022, AN IMP NONST CLIM NO
   Nofal OM, 2020, RELIAB ENG SYST SAFE, V202, DOI 10.1016/j.ress.2020.106971
   Oddo PC, 2020, RISK ANAL, V40, P153, DOI 10.1111/risa.12888
   ORESKES N, 1994, SCIENCE, V263, P641, DOI 10.1126/science.263.5147.641
   Ossandón A, 2021, J HYDROL, V600, DOI 10.1016/j.jhydrol.2021.126499
   Perica S., 2018, NOAA ATLAS 14 TECHNI
   Perkel JM, 2019, NATURE, V572, P141, DOI 10.1038/d41586-019-02310-3
   Piironen J, 2017, STAT COMPUT, V27, P711, DOI 10.1007/s11222-016-9649-y
   Poff NL, 2016, NAT CLIM CHANGE, V6, P25, DOI [10.1038/nclimate2765, 10.1038/NCLIMATE2765]
   Quinn JD, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001650
   Quinn JD, 2017, WATER RESOUR RES, V53, P7208, DOI 10.1002/2017WR020524
   Reed PM., 2022, Addressing uncertainty in multisector dynamics research. zenodo
   Reis J, 2020, RISK ANAL, V40, P494, DOI 10.1111/risa.13405
   Resio D.T., 2007, White paper on estimating hurricane inundation probabilities
   Rözer V, 2019, EARTHS FUTURE, V7, P384, DOI 10.1029/2018EF001074
   Rözer V, 2016, WATER-SUI, V8, DOI 10.3390/w8070304
   Ruckert KL, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-47587-6
   Salas JD, 2018, HYDROLOG SCI J, V63, P325, DOI 10.1080/02626667.2018.1426858
   Schneider SH, 2002, CLIMATIC CHANGE, V52, P441, DOI 10.1023/A:1014221225434
   Schneider SH, 2001, NATURE, V411, P17, DOI 10.1038/35075167
   Seaman JW, 2012, AM STAT, V66, P77, DOI 10.1080/00031305.2012.695938
   Serinaldi F, 2015, ADV WATER RESOUR, V77, P17, DOI 10.1016/j.advwatres.2014.12.013
   Sharma S, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002118
   Slotter R, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12667
   Srikrishnan V, 2022, CLIMATIC CHANGE, V170, DOI 10.1007/s10584-021-03279-7
   Sriver RL, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190641
   Steinschneider S, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000536
   Sweet William V., 2022, Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean Projections and Extreme Water Level Probabilities along U.S. Coastlines
   Taner MÜ, 2019, WATER RESOUR RES, V55, P3659, DOI [10.1029/2018WR022909, 10.1029/2018wr022909]
   Tarek M, 2020, Arxiv, DOI [arXiv:2002.02702, 10.48550/arXiv.2002.02702]
   The Federal Emergency Management Agency, 2014, P312 FEMA
   The Federal Emergency Management Agency, 2011, COAST CONSTR MAN, VII
   Toro GR, 2010, OCEAN ENG, V37, P125, DOI 10.1016/j.oceaneng.2009.09.004
   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
   TVERSKY A, 1974, SCIENCE, V185, P1124, DOI 10.1126/science.185.4157.1124
   Tye M.R., 2021, IMPACTS FUTURE WEATH
   United States Army Corps of Engineers Galveston District Texas General Land Office, 2021, COAST TEX PROT REST
   van Vuuren DP, 2008, GLOBAL ENVIRON CHANG, V18, P635, DOI 10.1016/j.gloenvcha.2008.06.001
   VANDANTZIG D, 1956, ECONOMETRICA, V24, P276, DOI 10.2307/1911632
   Vézer M, 2018, CLIMATIC CHANGE, V147, P1, DOI 10.1007/s10584-017-2123-9
   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]
   Wigley TML, 2001, SCIENCE, V293, P451, DOI 10.1126/science.1061604
   Wong T. E., 2018, ADV STAT CLIM METEOR, V4, P53, DOI [10.5194/ascmo-4-53-2018, DOI 10.5194/ASCMO-4-53-2018]
   Wong TE, 2017, EARTHS FUTURE, V5, P1015, DOI 10.1002/2017EF000607
   Wong TE, 2017, GEOSCI MODEL DEV, V10, P2741, DOI 10.5194/gmd-10-2741-2017
   Xian SY, 2017, J HYDROL, V548, P63, DOI 10.1016/j.jhydrol.2017.02.057
   Zarekarizi M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19188-9
NR 120
TC 4
Z9 4
U1 3
U2 7
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 JAN
PY 2023
VL 11
IS 1
AR e2022EF003044
DI 10.1029/2022EF003044
PG 19
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA H9DS9
UT WOS:000998888000001
OA gold
DA 2025-01-10
ER

PT J
AU Macejovsky, V
   Schmidtová, J
   Hrivnák, M
   Krajmerová, D
   Sarvasová, I
   Gömöry, D
AF Macejovsky, Vladimir
   Schmidtova, Jarmila
   Hrivnak, Matus
   Krajmerova, Diana
   Sarvasova, Ivana
   Gomory, Dusan
TI Interspecific differentiation and gene exchange among the Slovak
   <i>Quercus</i> sect. <i>Quercus</i> populations
SO DENDROBIOLOGY
LA English
DT Article
DE white oaks; differentiation; gene admixture; divergent selection;
   species cohesion
ID CLIMATE SURFACES; SYMPATRIC OAKS; WHITE OAKS; HYBRIDIZATION;
   INTROGRESSION; STRENGTH; BARRIERS; PETRAEA; ROBUR; LOCI
AB European white oak species (Quercus sect. Quercus) are known to share a substantial part of their nuclear and cytoplasmic genomes as a result of extensive interspecific hybridization and introgression. We studied natural populations of three species distributed in Slovakia, namely Q. robur, Q. petraea and Q. pubescens, which are largely sympatric but have contrasting ecological requirements, using a combination of leaf morphometry, neutral nuclear microsatellite markers (nSSR) and potentially adaptive amplified fragment length polymorphisms (AFLP). Bayesian analysis of population structure relying on nSSR revealed that the degree of admixture was relatively low in Q. robur but higher in Q. petraea and Q. pubescens. The inferred Q. robur ancestry closely correlated with morphometric scores of the canonical discriminant analysis based on 13 leaf traits, while for the other two species the correlation was much weaker. We identified two AFLP fragments associated with climatic variables, mainly with air vapour pressure and characteristics of temperature regime at the sites of origin. These associations indicate that climatic adaptation is the mechanism driving interspecific divergence and maintaining integrity of white oak species.
C1 [Macejovsky, Vladimir; Hrivnak, Matus; Krajmerova, Diana; Gomory, Dusan] Tech Univ Zvolen, Fac Forestry, TG Masaryka 24, SK-96001 Zvolen, Slovakia.
   [Schmidtova, Jarmila] Tech Univ Zvolen, Fac Wood Technol, TG Masaryka 24, SK-96001 Zvolen, Slovakia.
   [Sarvasova, Ivana] Tech Univ Zvolen, Borova Hora Arboretum, Borovianska Cesta 2171-66, SK-96001 Zvolen, Slovakia.
C3 Technical University Zvolen; Technical University Zvolen; Technical
   University Zvolen
RP Gömöry, D (corresponding author), Tech Univ Zvolen, Fac Forestry, TG Masaryka 24, SK-96001 Zvolen, Slovakia.
EM gomory@tuzvo.sk
RI Krajmerova, Diana/AAZ-6837-2021; Hrivnák, Matúš/KRP-5669-2024;
   Mačejovsky, Vladimír/ABB-7488-2020; Schmidtova, Jarmila/GLU-5317-2022;
   Gomory, Dusan/AAC-5840-2019
OI Schmidtova, Jarmila/0000-0003-3985-9616; Gomory,
   Dusan/0000-0002-9426-4247; Macejovsky, Vladimir/0000-0001-6562-7275;
   Krajmerova, Diana/0000-0003-3837-9397
FU Slovak Grant Agency for Science (VEGA) [1/0269/16]
FX This study was supported by a grant of the Slovak Grant Agency for
   Science (VEGA) no. 1/0269/16.
CR Abadie P, 2012, J EVOLUTION BIOL, V25, P157, DOI 10.1111/j.1420-9101.2011.02414.x
   [Anonymous], 2006, EVOLUTION GENETIC EX
   [Anonymous], 1753, SPECIES PLANTARUM
   Arnold ML, 2001, TAXON, V50, P93, DOI 10.2307/1224513
   ARNOLD ML, 1995, TRENDS ECOL EVOL, V10, P67, DOI 10.1016/S0169-5347(00)88979-X
   Bacilieri R, 1996, EVOLUTION, V50, P900, DOI [10.1111/j.1558-5646.1996.tb03898.x, 10.2307/2410861]
   Beatty GE, 2016, ANN BOT-LONDON, V117, P541, DOI 10.1093/aob/mcw002
   Cannon CH, 2020, NEW PHYTOL, V226, P978, DOI 10.1111/nph.16091
   Cronk QC, 2018, MOL ECOL, V27, P4653, DOI 10.1111/mec.14927
   Curtu AL, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-218
   Doyle JJ., 1987, PHYTOCHEM BULLET, V19, P11
   Durand J, 2010, BMC GENOMICS, V11, DOI 10.1186/1471-2164-11-570
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Foll M, 2008, GENETICS, V180, P977, DOI 10.1534/genetics.108.092221
   Gömöry D, 2007, PLANT SYST EVOL, V266, P253, DOI 10.1007/s00606-007-0535-0
   Gomory D., 2000, Forest Genetics, V7, P167
   Gross BL, 2005, J HERED, V96, P241, DOI 10.1093/jhered/esi026
   Guichoux E, 2011, MOL ECOL RESOUR, V11, P578, DOI 10.1111/j.1755-0998.2011.02983.x
   Hamann A, 2013, B AM METEOROL SOC, V94, P1307, DOI 10.1175/BAMS-D-12-00145.1
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Joost S, 2007, MOL ECOL, V16, P3955, DOI 10.1111/j.1365-294X.2007.03442.x
   Kremer A, 2002, ANN FOR SCI, V59, P777, DOI 10.1051/forest:2002065
   Le Provost G, 2012, TREE PHYSIOL, V32, P119, DOI 10.1093/treephys/tpr123
   Lepais O, 2013, TREE GENET GENOMES, V9, P841, DOI 10.1007/s11295-013-0602-3
   Lepais O, 2009, MOL ECOL, V18, P2228, DOI 10.1111/j.1365-294X.2009.04137.x
   Leroy T, 2020, NEW PHYTOL, V226, P1171, DOI 10.1111/nph.16095
   Leroy T, 2020, NEW PHYTOL, V226, P1183, DOI 10.1111/nph.16039
   Lexer C, 2006, MOL ECOL, V15, P2007, DOI 10.1111/j.1365-294X.2006.02896.x
   MAGIC D, 1975, Biologia (Bratislava), V30, P65
   Mallet J, 2007, NATURE, V446, P279, DOI 10.1038/nature05706
   Mayr E., 1963, Animal speciation and evolution
   McVay JD, 2017, GENOME, V60, P733, DOI 10.1139/gen-2016-0206
   Petit RJ, 2004, NEW PHYTOL, V161, P151, DOI 10.1046/j.1469-8137.2003.00944.x
   Porth I, 2016, TREE GENET GENOMES, V12, DOI 10.1007/s11295-016-1041-8
   Pritchard JK, 2000, GENETICS, V155, P945
   Rhymer JM, 1996, ANNU REV ECOL SYST, V27, P83, DOI 10.1146/annurev.ecolsys.27.1.83
   Rieseberg LH, 1998, NEW PHYTOL, V140, P599, DOI 10.1046/j.1469-8137.1998.00315.x
   Rushton B., 1993, ANN SCIENC FOR VOL, V50, p73s, DOI 10.1051/forest:19930707
   SAS, 1988, SAS STAT US GUID REL
   Schwarzbach AE, 2001, AM J BOT, V88, P270, DOI 10.2307/2657018
   Schweitzer JA, 2002, AM J BOT, V89, P981, DOI 10.3732/ajb.89.6.981
   Tulstrup NP, 1959, UNASYLVA, V13, P7
   Vazquez FM, 1993, EXTREMADURA, V1459, P459
   Viscosi V, 2012, INT J PLANT SCI, V173, P875, DOI 10.1086/667234
   Wakeley J, 1997, GENETICS, V145, P847
   Whittemore AT, 2005, SYST BOT, V30, P809, DOI 10.1600/036364405775097897
NR 46
TC 3
Z9 3
U1 0
U2 11
PU BOGUCKI WYDAWNICTWO NAUKOWE
PI POZNAN
PA GORNA WILDA 90, POZNAN, 61-576, POLAND
SN 1641-1307
EI 2083-8387
J9 DENDROBIOLOGY
JI Dendrobiology
PY 2020
VL 83
BP 20
EP 29
DI 10.12657/denbio.083.002
PG 10
WC Plant Sciences; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Forestry
GA NO3FR
UT WOS:000569370800002
OA gold
DA 2025-01-10
ER

PT J
AU Emanuelli, F
   Sordo, M
   Lorenzi, S
   Battilana, J
   Grando, MS
AF Emanuelli, F.
   Sordo, M.
   Lorenzi, S.
   Battilana, J.
   Grando, M. S.
TI Development of user-friendly functional molecular markers for
   <i>VvDXS</i> gene conferring muscat flavor in grapevine
SO MOLECULAR BREEDING
LA English
DT Article
DE Aroma; Breeding; DXS; Functional markers; High-resolution melting;
   Grapevine
ID RESOLUTION MELTING ANALYSIS; SYNTHASE; BIOSYNTHESIS; AROMA; DNA
AB High fruit and wine quality combined with good climatic adaptation and disease resistance are essential objectives of grape breeding. While several molecular markers are available for pyramiding resistance to fungal pathogens, molecular tools for predicting fruit composition are still scarce. Muscat flavor, caused by the accumulation of monoterpenoids in the berry, is an important target trait for breeding, sought after in both table grapes and wine. Four missense mutations in the VvDXS gene in grape germplasm have been shown to be tightly linked to muscat flavor. Here we present highly reproducible and breeder-friendly functional markers for each of the targeted polymorphisms developed by using either the multiplexed minisequencing SNaPshot (TM) method, the high-resolution melting (HRM) assay or the cleaved amplified polymorphic sequence system. A total of 242 grapevine accessions were analyzed to optimize these different genotyping methods and to provide allele-specific markers for accurate selection of muscat flavor at early stages of grape breeding programs. The HRM and the minisequencing SNaPshot multiplex assays allow for high-throughput automated screening and are suitable for large-scale breeding programs and germplasm characterization.
C1 [Emanuelli, F.; Sordo, M.; Lorenzi, S.; Battilana, J.; Grando, M. S.] Fdn Edmund Mach, Dept Genom & Biol Fruit Crops, IASMA Res & Innovat Ctr, I-38010 San Michele All Adige, TN, Italy.
C3 Fondazione Edmund Mach
RP Emanuelli, F (corresponding author), Fdn Edmund Mach, Dept Genom & Biol Fruit Crops, IASMA Res & Innovat Ctr, Via E Mach 1, I-38010 San Michele All Adige, TN, Italy.
EM fra.emanuelli@gmail.com
RI Emanuelli, Francesco/I-7592-2013; Grando, Maria Stella/D-5448-2011
OI Grando, Maria Stella/0000-0002-6889-1968
FU Accordo di Programma; Autonomous Province of Trento
FX The authors would like to thank graduate students Chiara Valentini and
   Simone Maistri who contributed to the genotyping and phenotyping of
   germplasm accessions, the CRI grape breeding staff for the development
   of Brachetto S1 progeny, and Lukasz Grzeskowiak for critical reading of
   the manuscript. This work was supported by Accordo di Programma funded
   by the Autonomous Province of Trento.
CR ALLEWELDT G, 1988, THEOR APPL GENET, V75, P669, DOI 10.1007/BF00265585
   Battilana J, 2011, J EXP BOT, V62, P5497, DOI 10.1093/jxb/err231
   Battilana J, 2009, THEOR APPL GENET, V118, P653, DOI 10.1007/s00122-008-0927-8
   Bonfield JK, 1995, NUCLEIC ACIDS RES, V23, P4992, DOI 10.1093/nar/23.24.4992
   Do H, 2008, BMC CANCER, V8, DOI 10.1186/1471-2407-8-142
   Duchene E, 2009, THEOR APPL GENET, V118, P541, DOI 10.1007/s00122-008-0919-8
   Eibach R, 2007, VITIS, V46, P120
   Emanuelli F, 2010, BMC PLANT BIOL, V10, DOI 10.1186/1471-2229-10-241
   Estévez JM, 2001, J BIOL CHEM, V276, P22901, DOI 10.1074/jbc.M100854200
   FAOSTAT, 2011, FAO STAT DAT PROD ST
   Garritano S, 2009, BMC GENET, V10, DOI 10.1186/1471-2156-10-5
   Gonzalez-Bosquet J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0014522
   GUNATA YZ, 1985, J CHROMATOGR, V331, P83, DOI 10.1016/0021-9673(85)80009-1
   KONIECZNY A, 1993, PLANT J, V4, P403, DOI 10.1046/j.1365-313X.1993.04020403.x
   Lois LM, 2000, PLANT J, V22, P503, DOI 10.1046/j.1365-313x.2000.00764.x
   Mateo JJ, 2000, J CHROMATOGR A, V881, P557, DOI 10.1016/S0021-9673(99)01342-4
   OIV, 2009, OIV DESCR LIST GRAP, V2
   Reisch BI, 2012, HANDB PLANT BREED, V8, P225, DOI 10.1007/978-1-4419-0763-9_7
   RIBEREAUGAYON P, 1975, J AGR FOOD CHEM, V23, P1042, DOI 10.1021/jf60202a050
   Takano EA, 2008, BMC CANCER, V8, DOI 10.1186/1471-2407-8-59
   Topfer R., 2011, Genetics, genomics, and breeding of grapes, P160
   Torregrosa L., 2011, Genetics, genomics, and breeding of grapes, P68
   Vincze T, 2003, NUCLEIC ACIDS RES, V31, P3688, DOI 10.1093/nar/gkg526
   Wittwer CT, 2003, CLIN CHEM, V49, P853, DOI 10.1373/49.6.853
NR 24
TC 30
Z9 35
U1 3
U2 39
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1380-3743
EI 1572-9788
J9 MOL BREEDING
JI Mol. Breed.
PD JAN
PY 2014
VL 33
IS 1
BP 235
EP 241
DI 10.1007/s11032-013-9929-6
PG 7
WC Agronomy; Plant Sciences; Genetics & Heredity; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences; Genetics & Heredity
GA 289GW
UT WOS:000329670900020
PM 24482604
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Sambucetti, P
   Scannapieco, AC
   Norry, FM
AF Sambucetti, Pablo
   Scannapieco, Alejandra C.
   Norry, Fabian M.
TI Direct and correlated responses to artificial selection for high and low
   knockdown resistance to high temperature in <i>Drosophila buzzatii</i>
SO JOURNAL OF THERMAL BIOLOGY
LA English
DT Article
DE Heat-stress selection; Chill-coma recovery; Developmental time; Body
   size; Starvation resistance; Thermal adaptation
ID QUANTITATIVE TRAIT LOCUS; LIFE-HISTORY TRAITS; STARVATION RESISTANCE;
   ADULT DROSOPHILA; CHILL-COMA; INTERCONTINENTAL SET; LABORATORY
   SELECTION; CLIMATIC ADAPTATION; THERMAL ADAPTATION; STRESS RESISTANCE
AB Knockdown resistance to high temperature (KRHT) is a genetically variable trait for thermal adaptation in insects. Selection for KRHT may affect a number of fitness components as well as resistance to several forms of environmental stress To test for heritable (co)-variation in KRHT, we examined direct and correlated responses to bi-directional selection on this trait in Drosophila buzzatii Replicated lines were artificially selected for decreased and increased KRHT After 12 generations of artificial selection, lines diverged significantly for high KRHT only. Starvation resistance increased in two lines that strongly responded to selection for high KRHT, and these two lines also showed relatively longer chill-coma recovery time Developmental time and body size showed no correlated responses to KRHT-selection These results suggest that KRHT is a heritable trait that can evolve towards increased thermotolerance with no genetic trade-offs associated to starvation resistance, developmental time and body size. (C) 2010 Elsevier Ltd All rights reserved
C1 [Sambucetti, Pablo; Scannapieco, Alejandra C.; Norry, Fabian M.] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Ecol Genet & Evoluc, Buenos Aires, DF, Argentina.
C3 University of Buenos Aires
RP Sambucetti, P (corresponding author), Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Ecol Genet & Evoluc, C 1428 EHA, Buenos Aires, DF, Argentina.
RI Norry, Fabian/ABC-2825-2021
OI Scannapieco, Alejandra Carla/0000-0002-4228-2996; Norry,
   Fabian/0000-0003-3649-5722
FU University of Buenos Aires; ANPCyT; Sciences Research National Council
   (CONICET)-Argentina
FX We thank two anonymous reviewers for many helpful comments on the
   manuscript. This research was supported by grants from the University of
   Buenos Aires, ANPCyT and the Sciences Research National Council
   (CONICET)-Argentina to FMN. ACS is fellow from CONICET. FMN and PS are
   researcher members of CONICET.
CR Anderson AR, 2003, HEREDITY, V90, P195, DOI 10.1038/sj.hdy.6800220
   [Anonymous], STATISTICA WIND COMP
   Baldal EA, 2006, EVOLUTION, V60, P1435, DOI 10.1111/j.0014-3820.2006.tb01222.x
   Bertoli CI, 2010, ENTOMOL EXP APPL, V134, P154, DOI 10.1111/j.1570-7458.2009.00948.x
   Bochdanovits Z, 2003, BIOL J LINN SOC, V80, P717, DOI 10.1111/j.1095-8312.2003.00271.x
   Bowler K, 2008, BIOL REV, V83, P339, DOI 10.1111/j.1469-185X.2008.00046.x
   Bubli OA, 1998, EVOLUTION, V52, P619, DOI 10.1111/j.1558-5646.1998.tb01661.x
   Bubliy OA, 2005, J EVOLUTION BIOL, V18, P789, DOI 10.1111/j.1420-9101.2005.00928.x
   David RJ, 1998, J THERM BIOL, V23, P291, DOI 10.1016/S0306-4565(98)00020-5
   Deutsch CA, 2008, P NATL ACAD SCI USA, V105, P6668, DOI 10.1073/pnas.0709472105
   Dolgin ES, 2006, J EVOLUTION BIOL, V19, P1894, DOI 10.1111/j.1420-9101.2006.01168.x
   Folk DG, 2006, J EXP BIOL, V209, P3964, DOI 10.1242/jeb.02463
   Gibbs AG, 1999, J EXP BIOL, V202, P2709
   Gilchrist GW, 1999, HEREDITY, V83, P15, DOI 10.1038/sj.hdy.6885330
   Gómez FH, 2009, FLY, V3, P247, DOI 10.4161/fly.10384
   Gómez FH, 2009, J THERM BIOL, V34, P17, DOI 10.1016/j.jtherbio.2008.09.003
   Harshman LG, 2000, TRENDS ECOL EVOL, V15, P32, DOI 10.1016/S0169-5347(99)01756-5
   Hoffmann AA, 2003, J THERM BIOL, V28, P175, DOI 10.1016/S0306-4565(02)00057-8
   Hoffmann AA, 2002, ECOL LETT, V5, P614, DOI 10.1046/j.1461-0248.2002.00367.x
   Hoffmann AA, 2008, NAT REV GENET, V9, P421, DOI 10.1038/nrg2339
   Hoffmann Ary A., 1991, Evolutionary Genetics and Environmental Stress
   HUEY RB, 1992, FUNCT ECOL, V6, P489, DOI 10.2307/2389288
   Karan D, 1998, EVOLUTION, V52, P825, DOI 10.1111/j.1558-5646.1998.tb03706.x
   Karl I, 2009, FUNCT ECOL, V23, P1132, DOI 10.1111/j.1365-2435.2009.01607.x
   Kristensen TN, 2010, TRENDS ECOL EVOL, V25, P44, DOI 10.1016/j.tree.2009.06.014
   Kristensen TN, 2007, P ROY SOC B-BIOL SCI, V274, P771, DOI 10.1098/rspb.2006.0247
   Loeschcke V, 2007, AM NAT, V169, P175, DOI 10.1086/510632
   MacMillan HA, 2009, INSECT SCI, V16, P263, DOI 10.1111/j.1744-7917.2009.01251.x
   McColl G, 1996, GENETICS, V143, P1615
   Morgan TJ, 2006, HEREDITY, V96, P232, DOI 10.1038/sj.hdy.6800786
   Mori N, 2008, BIOL J LINN SOC, V95, P72, DOI 10.1111/j.1095-8312.2008.01041.x
   Norry FM, 2006, GENETICA, V128, P81, DOI 10.1007/s10709-005-5537-7
   Norry FM, 2008, MOL ECOL, V17, P4570, DOI 10.1111/j.1365-294X.2008.03945.x
   Norry FM, 2007, MOL ECOL, V16, P3274, DOI 10.1111/j.1365-294X.2007.03335.x
   Norry FM, 2009, J INSECT PHYSIOL, V55, P1050, DOI 10.1016/j.jinsphys.2009.07.009
   Norry FM, 2002, J EVOLUTION BIOL, V15, P775, DOI 10.1046/j.1420-9101.2002.00438.x
   NORRY FM, 1995, J INSECT BEHAV, V8, P219, DOI 10.1007/BF01988906
   Overgaard J, 2008, CRYOBIOLOGY, V56, P159, DOI 10.1016/j.cryobiol.2008.01.001
   PARTRIDGE L, 1987, ANIM BEHAV, V35, P468, DOI 10.1016/S0003-3472(87)80272-5
   PARTRIDGE L, 1995, EVOLUTION, V49, P538, DOI 10.1111/j.1558-5646.1995.tb02285.x
   Reusch TBH, 2007, MOL ECOL, V16, P3973, DOI 10.1111/j.1365-294X.2007.03454.x
   Robinson SJW, 2000, EVOLUTION, V54, P1819, DOI 10.1111/j.0014-3820.2000.tb00726.x
   ROPER C, 1993, EVOLUTION, V47, P445, DOI 10.1111/j.1558-5646.1993.tb02105.x
   Sambucetti P, 2006, HEREDITAS, V143, P77, DOI 10.1111/j.2006.0018-0661.01934.x
   Sarup P, 2006, HEREDITY, V96, P479, DOI 10.1038/sj.hdy.6800828
   Scannapieco AC, 2009, BIOL J LINN SOC, V97, P738, DOI 10.1111/j.1095-8312.2009.01223.x
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Sgrò CM, 2000, AM NAT, V156, P341, DOI 10.1086/303394
   Sisodia S, 2010, J THERM BIOL, V35, P117, DOI 10.1016/j.jtherbio.2010.01.001
   Sokol R.R., 1981, Biometry
   Sorensen JG, 2005, J EVOLUTION BIOL, V18, P829, DOI 10.1111/j.1420-9101.2004.00876.x
   Steigenga MJ, 2009, J THERM BIOL, V34, P244, DOI 10.1016/j.jtherbio.2009.03.001
   Williams SE, 2008, PLOS BIOL, V6, P2621, DOI 10.1371/journal.pbio.0060325
NR 53
TC 13
Z9 15
U1 0
U2 22
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0306-4565
J9 J THERM BIOL
JI J. Therm. Biol.
PD JUL
PY 2010
VL 35
IS 5
BP 232
EP 238
DI 10.1016/j.jtherbio.2010.05.006
PG 7
WC Biology; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Zoology
GA 632CA
UT WOS:000280396500005
DA 2025-01-10
ER

PT J
AU Feng, HH
   Wang, SH
   Xiong, J
   Zou, B
   Wang, W
AF Feng, Huihui
   Wang, Shihan
   Xiong, Jian
   Zou, Bin
   Wang, Wei
TI Variation in the surface radiation budget over different land covers in
   a subtropical humid region: evidence from ground observations
SO FRONTIERS IN ECOLOGY AND EVOLUTION
LA English
DT Article
DE surface radiation budget; land cover; climate change; ground
   observation; subtropical humid region
ID URBAN HEAT-ISLAND; SOLAR-RADIATION; TEMPERATURE-CHANGE; CLIMATE;
   VEGETATION; AEROSOL; ENERGY; EMISSIVITY; TRENDS; SOIL
AB The surface radiation is a crucial variable for understanding global climate and eco-environment change, which exhibits significant variations over time and space. In this study, we used in situ ground observations to estimate variations of the surface radiation budget over grassland and urban areas in a subtropical humid region. Our results revealed a positive radiation budget that varied over different land covers. Specifically, grassland exhibited a higher shortwave radiation, while urban area was characterized by the higher longwave radiation. Notably, the surface radiation budget (Rn) was much greater in grassland (77.60 W-2/m) than that in urban area (61.93 W-2/m), which was mainly attributed to the difference in longwave radiation. Additionally, the atmospheric pressure showed a strong correlation with the radiations, while precipitation and relative humidity presented relatively weak correlations. Furthermore, the correlations with climate were stronger in grassland than that in urban areas, suggesting complex interactions with anthropogenic factors during the process of urbanization. Results of this study would help reveal the characteristics and corresponding mechanisms of surface radiation budgets, which would support climatic adaptation and ecology management.
C1 [Feng, Huihui; Wang, Shihan; Xiong, Jian; Zou, Bin; Wang, Wei] Cent South Univ, Sch Geosci & Infophys, Changsha, Peoples R China.
   [Feng, Huihui; Zou, Bin; Wang, Wei] Chinese Minist Nat Resources, Key Lab Spatiotemporal Informat & Intelligent Serv, Changsha, Peoples R China.
   [Feng, Huihui] Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen, Peoples R China.
C3 Central South University; Ministry of Natural Resources of the People's
   Republic of China; Ministry of Natural Resources of the People's
   Republic of China
RP Wang, W (corresponding author), Cent South Univ, Sch Geosci & Infophys, Changsha, Peoples R China.; Wang, W (corresponding author), Chinese Minist Nat Resources, Key Lab Spatiotemporal Informat & Intelligent Serv, Changsha, Peoples R China.
EM wangweicn@csu.edu.cn
RI Feng, Huihui/V-1807-2019; wang, wei/GRY-1405-2022
OI Wang, Wei/0000-0001-7930-9147
FU National Natural Science Foundation of China [42071378]; Natural Science
   Foundation of Hunan Province [2020JJ3045]; Open Fund of Key Laboratory
   of Urban Land Resources Monitoring and Simulation, Ministry of Natural
   Resources [KF-2022-07-021]
FX Funding This work was supported in part by the National Natural Science
   Foundation of China [Grant No. 42071378], the Natural Science Foundation
   of Hunan Province [Grant No. 2020JJ3045], and the Open Fund of Key
   Laboratory of Urban Land Resources Monitoring and Simulation, Ministry
   of Natural Resources [Grant No. KF-2022-07-021].
CR Allan RP, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/2/025205
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Aspinwall MJ, 2022, PHYSIOL PLANTARUM, V174, DOI 10.1111/ppl.13654
   Betts RA, 2001, ATMOS SCI LETT, V2, P39, DOI 10.1006/asle.2001.0023
   Brown PT, 2017, NATURE, V552, P45, DOI 10.1038/nature24672
   Campbell J. B., 2011, Introduction to remote sensing
   CERES, 2021, CERES EBAF ED4 1 DAT
   Chen XL, 2006, REMOTE SENS ENVIRON, V104, P133, DOI 10.1016/j.rse.2005.11.016
   Christidis N, 2015, NAT CLIM CHANGE, V5, P46, DOI [10.1038/nclimate2468, 10.1038/NCLIMATE2468]
   Church J.A., 2013, CONTRIBUTION WORKING
   Crutzen PJ, 2004, ATMOS ENVIRON, V38, P3539, DOI 10.1016/j.atmosenv.2004.03.032
   DeAngelis AM, 2015, NATURE, V528, P249, DOI 10.1038/nature15770
   Dickinson R.E., 1984, Climate Processes and Climate Sensitivity, Geophysical Monograph Series, V29, P180
   Dong BW, 2019, CLIM DYNAM, V53, P3235, DOI 10.1007/s00382-019-04698-0
   Driemel A, 2018, EARTH SYST SCI DATA, V10, P1491, DOI 10.5194/essd-10-1491-2018
   Fan JL, 2018, ENERG CONVERS MANAGE, V156, P618, DOI 10.1016/j.enconman.2017.11.085
   Feichter J, 2004, J CLIMATE, V17, P2384, DOI 10.1175/1520-0442(2004)017<2384:NAOTCR>2.0.CO;2
   Feng HH, 2022, ADV SPACE RES, V70, P324, DOI 10.1016/j.asr.2022.04.038
   Feng HH, 2020, GLOBAL PLANET CHANGE, V192, DOI 10.1016/j.gloplacha.2020.103225
   Feng HH, 2019, REMOTE SENS ENVIRON, V232, DOI 10.1016/j.rse.2019.111299
   Feng HH, 2014, IEEE J-STARS, V7, P4010, DOI 10.1109/JSTARS.2013.2264718
   Feng HH, 2014, ADV SPACE RES, V53, P463, DOI 10.1016/j.asr.2013.11.028
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Gago EJ, 2013, RENEW SUST ENERG REV, V25, P749, DOI 10.1016/j.rser.2013.05.057
   He BJ, 2022, RENEW SUST ENERG REV, V161, DOI 10.1016/j.rser.2022.112350
   Huang M, 2007, TELLUS B, V59, P439, DOI 10.1111/j.1600-0889.2007.00280.x
   Jia AL, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8020090
   Jin ML, 2005, J CLIMATE, V18, P1551, DOI 10.1175/JCLI3334.1
   Kiehl JT, 1997, B AM METEOROL SOC, V78, P197, DOI 10.1175/1520-0477(1997)078<0197:EAGMEB>2.0.CO;2
   Kim DY, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD008434
   Kleidon A, 2000, CLIMATIC CHANGE, V44, P471, DOI 10.1023/A:1005559518889
   KNIPLING E B, 1970, Remote Sensing of Environment, V1, P155
   Kothe S, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2010JD014331
   Kothe S, 2011, CLIM DYNAM, V36, P1023, DOI 10.1007/s00382-009-0733-2
   Lean J, 1998, J CLIMATE, V11, P3069, DOI 10.1175/1520-0442(1998)011<3069:CFBCSR>2.0.CO;2
   Lee LA, 2016, P NATL ACAD SCI USA, V113, P5820, DOI 10.1073/pnas.1507050113
   Lee S, 2017, GEOPHYS RES LETT, V44, P10654, DOI 10.1002/2017GL075375
   Li HS, 2015, ENVIRON PROG SUSTAIN, V34, P595, DOI 10.1002/ep.12018
   Li QP, 2018, J GEOPHYS RES-ATMOS, V123, P124, DOI 10.1002/2017JD027010
   Loeb NG, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL093047
   Luo M, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL097714
   Mahmood R, 2005, AGR FOREST METEOROL, V130, P71, DOI 10.1016/j.agrformet.2005.02.004
   Manoli G, 2020, P NATL ACAD SCI USA, V117, P7082, DOI 10.1073/pnas.1917554117
   Matus AV, 2017, J GEOPHYS RES-ATMOS, V122, P2559, DOI 10.1002/2016JD025951
   MONTEITH JL, 1972, J APPL ECOL, V9, P747, DOI 10.2307/2401901
   Mustafa J, 2023, ENVIRON PROG SUSTAIN, V42, DOI 10.1002/ep.13973
   Myhre G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P659
   Palmer MD, 2012, SURV GEOPHYS, V33, P351, DOI 10.1007/s10712-011-9165-8
   PENNER JE, 1992, SCIENCE, V256, P1432, DOI 10.1126/science.256.5062.1432
   Peters MK, 2019, NATURE, V568, P88, DOI 10.1038/s41586-019-1048-z
   Pinker RT, 2005, SCIENCE, V308, P850, DOI 10.1126/science.1103159
   RAMANATHAN V, 1991, NATURE, V351, P27, DOI 10.1038/351027a0
   Ramanathan V, 2007, NATURE, V448, P575, DOI 10.1038/nature06019
   Sirdas S, 2008, HYDROL PROCESS, V22, P1460, DOI 10.1002/hyp.6698
   Sniderman JMK, 2019, NAT CLIM CHANGE, V9, P232, DOI 10.1038/s41558-019-0397-9
   Sun Y, 2014, NAT CLIM CHANGE, V4, P1082, DOI 10.1038/NCLIMATE2410
   Trenberth KE, 2009, B AM METEOROL SOC, V90, P311, DOI 10.1175/2008BAMS2634.1
   Tubiello FN, 2015, GLOBAL CHANGE BIOL, V21, P2655, DOI 10.1111/gcb.12865
   Valor E, 1996, REMOTE SENS ENVIRON, V57, P167, DOI 10.1016/0034-4257(96)00039-9
   VANDEGRIEND AA, 1993, INT J REMOTE SENS, V14, P1119, DOI 10.1080/01431169308904400
   Wild M, 2005, SCIENCE, V308, P847, DOI 10.1126/science.1103215
   Wild M, 2015, CLIM DYNAM, V44, P3393, DOI 10.1007/s00382-014-2430-z
   Wohl E, 2012, NAT CLIM CHANGE, V2, P655, DOI [10.1038/NCLIMATE1556, 10.1038/nclimate1556]
   Xie SP, 2016, NAT GEOSCI, V9, P29, DOI [10.1038/NGEO2581, 10.1038/ngeo2581]
   Yang X, 2016, J GEOPHYS RES-ATMOS, V121, P4093, DOI 10.1002/2015JD024645
   Ye SC, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13081447
   Yeh SW, 2014, ASIA-PAC J ATMOS SCI, V50, P69, DOI 10.1007/s13143-014-0028-3
   Yu GR, 2014, P NATL ACAD SCI USA, V111, P4910, DOI 10.1073/pnas.1317065111
   Yu Y, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2020JD033865
   Zeng ZZ, 2017, NAT CLIM CHANGE, V7, P432, DOI [10.1038/NCLIMATE3299, 10.1038/nclimate3299]
   Zhang H., 2009, 2009 2 IEEE INT C CO
   Zhao JF, 2019, GLOBAL PLANET CHANGE, V182, DOI 10.1016/j.gloplacha.2019.103010
   Zhou DC, 2014, REMOTE SENS ENVIRON, V152, P51, DOI 10.1016/j.rse.2014.05.017
NR 73
TC 1
Z9 1
U1 3
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 APR 27
PY 2023
VL 11
AR 1153733
DI 10.3389/fevo.2023.1153733
PG 10
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA F7IM5
UT WOS:000984042500001
OA gold
DA 2025-01-10
ER

PT J
AU Scott, D
   Knowles, N
   Steiger, R
AF Scott, Daniel
   Knowles, Natalie
   Steiger, Robert
TI Is snowmaking climate change maladaptation?
SO JOURNAL OF SUSTAINABLE TOURISM
LA English
DT Article
DE climate change; ski industry; snowmaking; maladaptation; sustainable
   tourism
ID ARTIFICIAL SNOW PRODUCTION; BEHAVIORAL ADAPTATION; SKI INDUSTRY;
   TOURISM; SLOPES; PRICES; RISK; SOIL
AB Snowmaking has been an integral part of the multi-billion-dollar ski industry in most regional markets for more than 20 years and is one of the most visible and widespread forms of climate adaptation in the tourism sector. Under accelerating climate change, snowmaking is projected to increase at most destinations - some substantially. Snowmaking has come under increasing criticism in recent years and branded by some scholars and ski industry observers as unsustainable and maladaptive as a climate change response. Using data on snowmaking from across the diverse US ski market, this study assesses snowmaking against multiple established criteria that define maladaptation. The analysis demonstrates that snowmaking is highly place-context specific, varying at the individual operator and regional market scales, and represents a continuum from successful (and sustainable) adaptation to maladaptation. Regions of the US where snowmaking is most likely to be maladaptive are identified (water insecure and carbon intense electricity grids). The framework highlights the importance of scale and a tourism system perspective when assessing (mal)adaptation and provides decision-makers with a tool to evaluate the compatibility of snowmaking with climate action plans at the destination and regional scale.
C1 [Scott, Daniel; Knowles, Natalie] Univ Waterloo, Dept Geog & Environm Management, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada.
   [Scott, Daniel] Univ Surrey, Sch Hospitality & Tourism Management, Guildford, Surrey, England.
   [Steiger, Robert] Univ Innsbruck, Dept Publ Finance, Innsbruck, Austria.
C3 University of Waterloo; University of Surrey; University of Innsbruck
RP Scott, D (corresponding author), Univ Waterloo, Dept Geog & Environm Management, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada.
EM daniel.scott@uwaterloo.ca
RI Scott, Daniel/AAB-6190-2020; Steiger, Robert/D-4796-2019; Steiger,
   Robert/N-5724-2014
OI Knowles, Natalie/0000-0002-5605-5954; Steiger,
   Robert/0000-0002-1752-6450; Scott, Daniel/0000-0001-7825-9301
CR Aall C., 2016, RETHINKING CLIMATE E, P209, DOI [10.1007/978-3-319-38807-6, DOI 10.1007/978-3-319-38807-6]
   Abegg B, 2017, TOURISM AND RESILIENCE, P105, DOI 10.1079/9781780648330.0105
   Allegrezza M, 2017, PLANT BIOSYST, V151, P1101, DOI 10.1080/11263504.2017.1300200
   Aspen Snowmass, 2021, TURN POLL METH CLEAN
   Atmosfair, 2022, FLIGHT EM CALC
   Bacchiocchi SC, 2019, SCI TOTAL ENVIRON, V665, P959, DOI 10.1016/j.scitotenv.2019.02.086
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Barron K, 2021, MARKET SCI, V40, P23, DOI 10.1287/mksc.2020.1227
   Bausch T, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11154233
   Berard-Chenu L, 2021, INT J BIOMETEOROL, V65, P659, DOI 10.1007/s00484-020-01933-w
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Brown, 2017, POWDER MAGAZINE
   Burt JW, 2009, ECOL APPL, V19, P2242, DOI 10.1890/08-0719.1
   Butsic V, 2011, LAND ECON, V87, P75, DOI 10.3368/le.87.1.75
   Canadian Ski Council, 2018, FACTS STATS
   Clean Energy States Alliance, 2020, 100 CLEAN EN COLL TA
   Clement V., 2015, ACAD MANAGEMENT, P15180
   Clifford, 2015, DOWNHILL SLIDE WHY C
   Dawson J, 2013, TOURISM MANAGE, V35, P244, DOI 10.1016/j.tourman.2012.07.009
   Dawson J, 2011, J TRAVEL TOUR MARK, V28, P388, DOI 10.1080/10548408.2011.571573
   De Jong C., 2008, INT C ENV MOD SOFTW, P80
   De Jong C., 2008, RESOURCE CONFLICTS M
   de Jong C, 2015, FRONT ENV SCI-SWITZ, V3, DOI 10.3389/fenvs.2015.00038
   Del Matto T., 2009, SUSTAINABLE TOURISM, P131
   Delgado, 2021, WHAT RISE DIGITAL NO
   Duglio S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090851
   Duncombe J., 2021, Eos, V102
   Dunstan A, 2021, J STUD RELIG NAT CUL, V15, P462, DOI 10.1558/jsrnc.18954
   Duquette K. A., 2016, VILLANOVA ENV LAW J, V27, P123
   EPA, 2020, POW PROF
   Faney T., 2010, CIVIL SYSTEMS ENV CE
   Fang Y, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084232
   Fang Y, 2021, INT J BIOMETEOROL, V65, P677, DOI 10.1007/s00484-019-01822-x
   Fiedler T, 2021, NAT CLIM CHANGE, V11, P87, DOI 10.1038/s41558-020-00984-6
   Fonner RC, 2014, TOURISM ECON, V20, P1215, DOI 10.5367/te.2013.0338
   Galinato GI, 2018, APPL ECON, V50, P4024, DOI 10.1080/00036846.2018.1441507
   Garcia-López MA, 2020, J URBAN ECON, V119, DOI 10.1016/j.jue.2020.103278
   Gerbaux M, 2020, REV GEOGR ALP, V108
   Global Sustainable Tourism Dashboard (GSTD), 2017, CRUIS SHIP EM
   Gössling S, 2012, TOURISM MANAGE, V33, P1, DOI 10.1016/j.tourman.2011.03.015
   Grünewald T, 2019, FRONT EARTH SC-SWITZ, V7, DOI 10.3389/feart.2019.00078
   Hagenstad M., 2018, EC CONTRIBUTIONS WIN
   Hamilton L.C., 2003, INT J SOCIOL SOC POL, V23, P52, DOI DOI 10.1108/01443330310790309
   Harrison AK, 2013, J SPORT SOC ISSUES, V37, P315, DOI 10.1177/0193723513498607
   Ho YCJ, 2022, ANN LEIS RES, V25, P569, DOI 10.1080/11745398.2020.1859389
   Hopkins D, 2014, J SUSTAIN TOUR, V22, P107, DOI 10.1080/09669582.2013.804830
   Hudek C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67341-7
   ICAO, 2022, CARB EM CALC
   Intergovernmental Panel on Climate Change (IPCC), 2022, Climate Change 2021: Impacts, Adaptation and Vulnerability. Contribution of Working Group 2 to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   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
   International Financial Reporting Standards Foundation, 2021, IFRS FDN ANN INT SUS
   Kerlin M., 2022, Rural rising: Economic development strategies for America's heartland
   Knowles NLB, 2021, CURR ISSUES TOUR, V24, P149, DOI 10.1080/13683500.2020.1722077
   Knowles NLB, 2019, J SUSTAIN TOUR, V27, P380, DOI 10.1080/09669582.2019.1585440
   Leaver, 2020, STATE UTAHS TRAVEL T
   Loehr J, 2020, J SUSTAIN TOUR, V28, P515, DOI 10.1080/09669582.2019.1683185
   Longwoods Travel, 2020, TRAV US VIS PROF
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Mikulic J, 2021, ANN TOURISM RES, V90, DOI 10.1016/j.annals.2021.103264
   Moser DJ, 2020, ENVIRON SCI POLICY, V104, P98, DOI 10.1016/j.envsci.2019.10.001
   National Highway Traffic Safety Administration, 2022, USDOT ANN NEW VEH FU
   National Resources Canada (NRCan), 2017, MAIN EL SOURC CAN PR
   National Ski Areas Association (NSAA), 2019, EC IMP SKIING SNOWB
   National Ski Areas Association (NSAA), 2021, CLIM CHALL ANN REP
   Ning L, 2015, SCI REP-UK, V5, DOI 10.1038/srep17073
   Paramati SR, 2019, TOURISM MANAGE, V74, P392, DOI 10.1016/j.tourman.2019.04.023
   Paris Climate Agreement, 2015, PARIS CLIMATE AGREEM
   Parthum B, 2022, J ENVIRON ECON MANAG, V113, DOI 10.1016/j.jeem.2022.102637
   Persistence Market Research, 2018, SNOWM SYST MARK GLOB
   Pinchot A., 2021, WRIPUB, DOI [10.46830/wriwp.19.00125, DOI 10.46830/WRIWP.19.00125]
   Pintaldi E, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112150
   Reig P., 2013, WHATS DIFFERENCE WAT
   Rice H, 2022, CURR ISSUES TOUR, V25, P2805, DOI 10.1080/13683500.2021.1995338
   Ritner JH, 2022, INT J HIST SPORT, V39, P111, DOI 10.1080/09523367.2021.1928082
   Rivera J, 2006, POLICY STUD J, V34, P195, DOI 10.1111/j.1541-0072.2006.00166.x
   Rixen C, 2003, PERSPECT PLANT ECOL, V5, P219, DOI 10.1078/1433-8319-00036
   Rixen C, 2011, MT RES DEV, V31, P229, DOI 10.1659/MRD-JOURNAL-D-10-00112.1
   Rogstam J., 2011, ENERGI KYLANALY 0401
   Roux-Fouillet P, 2011, J APPL ECOL, V48, P906, DOI 10.1111/j.1365-2664.2011.01964.x
   Rutty M, 2015, J OUTDO RECREAT TOUR, V11, P13, DOI 10.1016/j.jort.2015.07.002
   Saarinen J., 2010, TOURISM CHANGE POLAR
   Savills, 2018, SAV SKI REP 2018
   SBS, 2021, FAKT ZAHL SCHWEIZ SE
   Schiller, 2013, POWDER MAGAZINE
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Scott D., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P1411, DOI 10.1007/s11027-006-9071-4
   Scott D, 2022, ANN TOURISM RES, V95, DOI 10.1016/j.annals.2022.103409
   Scott D, 2021, TOUR MANAG PERSPECT, V40, DOI 10.1016/j.tmp.2021.100875
   Scott D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122410617
   Scott D, 2020, J SUSTAIN TOUR, V28, P568, DOI 10.1080/09669582.2019.1684932
   Scott D, 2010, J SUSTAIN TOUR, V18, P283, DOI 10.1080/09669581003668540
   Siirila-Woodburn ER, 2021, NAT REV EARTH ENV, V2, P800, DOI 10.1038/s43017-021-00219-y
   Simpson NP, 2021, ONE EARTH, V4, P489, DOI 10.1016/j.oneear.2021.03.005
   Ski Area Management, 2015, STOK JENS SEES 150 A
   Skift, 2021, US DIG NOM MARK AN 2
   Spandre P, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-44068-8
   Spandre P, 2017, CRYOSPHERE, V11, P891, DOI 10.5194/tc-11-891-2017
   Spandre P, 2015, REV GEOGR ALP, V103, DOI 10.4000/rga.2913
   Stanchak, 2010, SKI AREA MANAGEMENT
   Steiger R, 2021, J OUTDOOR REC TOUR, V34, DOI 10.1016/j.jort.2020.100330
   Steiger R, 2020, TOURISM MANAGE, V77, DOI 10.1016/j.tourman.2019.104032
   Steiger R, 2019, CURR ISSUES TOUR, V22, P1343, DOI 10.1080/13683500.2017.1410110
   Steiger R, 2013, TOUR PLAN DEV, V10, P480, DOI 10.1080/21568316.2013.804431
   Steiger R, 2008, MT RES DEV, V28, P292, DOI 10.1659/mrd.0978
   Todd S. E., 1996, Journal of Sustainable Tourism, V4, P147, DOI 10.1080/09669589608667265
   Trawöger L, 2014, TOURISM MANAGE, V40, P338, DOI 10.1016/j.tourman.2013.07.010
   Treml P., 2019, GEOPH RES ABSTR, V21, P1
   U.S. Securities and Exchange Commission, 2022, SEC PROP RUL ENH STA
   Ungoed-Thomas J., 2021, GUARDIAN        1106
   Wang JM, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2020GL091753
   Werners SE, 2021, ENVIRON SCI POLICY, V116, P266, DOI 10.1016/j.envsci.2020.11.003
   Wilkins E., 2021, MOUNTAIN RES DEV, V41, P12
   Wilson G, 2018, MT RES DEV, V38, P164, DOI 10.1659/MRD-JOURNAL-D-17-00117
   Wobus C, 2017, GLOBAL ENVIRON CHANG, V45, P1, DOI 10.1016/j.gloenvcha.2017.04.006
   World Resource Institute (WRI), 2022, WAT RISK ATL
   Zeng XB, 2018, GEOPHYS RES LETT, V45, P12940, DOI 10.1029/2018GL079621
NR 116
TC 16
Z9 16
U1 8
U2 46
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0966-9582
EI 1747-7646
J9 J SUSTAIN TOUR
JI J. Sustain. Tour.
PD FEB 1
PY 2024
VL 32
IS 2
BP 282
EP 303
DI 10.1080/09669582.2022.2137729
EA OCT 2022
PG 22
WC Green & Sustainable Science & Technology; Hospitality, Leisure, Sport &
   Tourism
WE Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Social Sciences - Other Topics
GA GJ5L9
UT WOS:000873411300001
DA 2025-01-10
ER

PT J
AU Kobayashi, T
   Hiyama, K
   Omodaka, Y
   Oura, Y
   Asaoka, Y
AF Kobayashi, Takuma
   Hiyama, Kyosuke
   Omodaka, Yuichi
   Oura, Yutaka
   Asaoka, Yukiyasu
TI Regional adaptivity of electrochromic glazing in Japan and operational
   improvement in energy saving using machine learning
SO JAPAN ARCHITECTURAL REVIEW
LA English
DT Article
DE building facade; climate-adaptive building shells; electrochromic
   glazing; machine learning; parametric study
ID PERFORMANCE; BUILDINGS; WINDOWS
AB Electrochromic (EC) glazing reduces the cooling load via solar radiation shielding. However, excessive solar radiation shielding increases the heating load. In other words, the energy-saving effect of EC glazing is dependent on the energy performance of the building. This study compares the heating and cooling loads reduction effects of static and EC glazing under various conditions to evaluate the regional applicability of EC glazing in Japan. Furthermore, to maximize the effect, we employ a machine learning (ML)-based operation and evaluate its efficiency. A parametric study is conducted based on a standard office model in Japan using the DesignBuilder software. The result shows that the heating and cooling loads reduces by 17.1% compared with low-E glazing in warm climates (Miyazaki, Zone 7). However, in cold climates (Obihiro, Zone 2), the energy increase is 25.4% and the trend of the effect changes near Zone 4. Therefore, on days when the heating load is expected to occur in Zones 3-5, we incorporate solar heat before working hours. The results show that reduction in heating and cooling loads of 2-3% can be expected and that the operation schedule can be set accurately via ML.
C1 [Kobayashi, Takuma; Hiyama, Kyosuke; Omodaka, Yuichi] Meiji Univ, Kawasaki, Kanagawa, Japan.
   [Oura, Yutaka; Asaoka, Yukiyasu] Sankyo Tateyama, Takaoka, Toyama, Japan.
C3 Meiji University
RP Kobayashi, T (corresponding author), Meiji Univ, Tama Ku, Higashimita 1-1-1, Kawasaki, Kanagawa 2148571, Japan.
EM kobataku1125@gmail.com
RI Hiyama, Kyosuke/LDW-4234-2024
OI Omodaka, Yuichi/0000-0001-5419-4005; Kobayashi,
   Takuma/0000-0003-0260-2892
FU JSPS KAKENHI [19K04741]; Grants-in-Aid for Scientific Research
   [19K04741] Funding Source: KAKEN
FX This work was partially supported by JSPS KAKENHI Grant Number 19K04741.
CR Aldawoud A, 2013, ENERG BUILDINGS, V59, P104, DOI 10.1016/j.enbuild.2012.12.031
   Assimakopoulos MN, 2007, BUILD ENVIRON, V42, P2829, DOI 10.1016/j.buildenv.2006.04.004
   Building Research Institute, JP BECC BUILD
   Chen YJ, 2018, ENERG BUILDINGS, V169, P195, DOI 10.1016/j.enbuild.2018.03.051
   Crawley DB, 2001, ENERG BUILDINGS, V33, P319, DOI 10.1016/S0378-7788(00)00114-6
   Bui DK, 2021, APPL ENERG, V300, DOI 10.1016/j.apenergy.2021.117341
   DesignBuilder Software Ltd, DES BUILD
   Dussault JM, 2017, ENERG BUILDINGS, V153, P50, DOI 10.1016/j.enbuild.2017.07.046
   Fan C, 2017, APPL ENERG, V195, P222, DOI 10.1016/j.apenergy.2017.03.064
   Hiyama K, 2021, J BUILD ENG, V43, DOI 10.1016/j.jobe.2021.103027
   IEA, 2021, Global Status Report for Buildings and Construction 2019-Analysis-IEA
   Japanese Industrial Standards Committee, 2006, B8616 JIS
   Kaggle, 2019, ASHRAE GREAT EN PRED
   Karlessi T, 2009, SOL ENERGY, V83, P538, DOI 10.1016/j.solener.2008.10.005
   Kasinalis C, 2014, ENERG BUILDINGS, V79, P106, DOI 10.1016/j.enbuild.2014.04.045
   Kudo K., 2019, J ENVIRON ENG, V84, P515
   Kurnitski J, 2004, ENERG BUILDINGS, V36, P1003, DOI 10.1016/j.enbuild.2004.06.007
   Lee JH, 2020, APPL ENERG, V260, DOI 10.1016/j.apenergy.2019.114338
   Loonen RCGM, 2013, RENEW SUST ENERG REV, V25, P483, DOI 10.1016/j.rser.2013.04.016
   Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
   Sbar N.L., 2012, International Journal of Sustainable Built Environment, V1, P125, DOI DOI 10.1016/J.IJSBE.2012.09.001
   SHASE, 2016, GUID TEST PROC EV BU
   Tanaka H., 2021, KUKICHOWA EISEI KOGA, V94, P35
   Tavares PF, 2014, ENERG POLICY, V67, P68, DOI 10.1016/j.enpol.2013.07.038
   Teowee G, 1999, ELECTROCHIM ACTA, V44, P3017, DOI 10.1016/S0013-4686(99)00015-8
   Wang Z, 2020, APPL ENERG, V263, DOI 10.1016/j.apenergy.2020.114683
   ZEB Roadmap Follow up Committee, 2018, ZEB SEKK GAID ZEB RE
NR 27
TC 2
Z9 2
U1 0
U2 10
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2475-8876
J9 JPN ARCHIT REV
JI Jpn. Archit. Rev.
PD JUL
PY 2022
VL 5
IS 3
BP 269
EP 278
DI 10.1002/2475-8876.12272
EA JUN 2022
PG 10
WC Architecture
WE Emerging Sources Citation Index (ESCI)
SC Architecture
GA 2R6CI
UT WOS:000811512000001
OA gold
DA 2025-01-10
ER

PT J
AU Singh, NP
   Anand, B
   Khan, MA
AF Singh, Naveen P.
   Anand, Bhawna
   Khan, Mohd Arshad
TI Assessment of household perceptions to climate adaptation for resilient
   rural development planning in India
SO INDIAN JOURNAL OF TRADITIONAL KNOWLEDGE
LA English
DT Article
DE Adaptation; Climate change; Development; Farmer; Perception
ID VULNERABILITY; MONSOON; TRENDS; POLICY
AB Enhancing resilience of rural communities to climate change requires a clear understanding of micro-level perceptions and adaptation issues and their integration with the rural developmental framework. We collected household level data to understand grass-root perspectives on climate variability, impacts and barriers to adaptation in two different districts; Moga, Punjab and Mahbubnagar, Telangana. Further the study uses meteorological data to validate farmers perceptions. The results show that change in the quantum and distribution of rainfall, rising temperature, ground water depletion, lower farm income, higher unemployment and rural migration are some of the major impacts of climate change. Moreover, farmers perceptions on climate variability were consistent with the observed climate trend. Against climatic variations farmers were making shift to crop varieties of suitable duration, curtailing expenditure, borrowing and participating in employment guarantee schemes. However, farmers responses were constrained by barriers like lack of accessibility to weather information, limited knowledge on the cost-benefit of adaptation, inaccessibility to climate smart technologies, inadequate financial resources and unawareness on welfare schemes. The study concludes there is a need to reorient the developmental programmes at the macro-level considering micro-level needs and constraints for climate resilient agriculture.
C1 [Singh, Naveen P.; Anand, Bhawna; Khan, Mohd Arshad] ICAR Res Complex, Natl Inst Agr Econ & Policy Res, New Delhi 110012, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - National
   Institute of Agricultural Economics & Policy Research
RP Singh, NP (corresponding author), ICAR Res Complex, Natl Inst Agr Econ & Policy Res, New Delhi 110012, India.
EM naveenpsingh@gmail.com
RI Khan, Mohd/AAO-5674-2021
OI , Mohd Arshad Khan/0000-0002-7952-4565
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Amarasinghe UA, 2010, 138 IWMI, P32
   Auffhammer M, 2012, CLIMATIC CHANGE, V111, P411, DOI 10.1007/s10584-011-0208-4
   Ayanlade A, 2017, WEATHER CLIM EXTREME, V15, P24, DOI 10.1016/j.wace.2016.12.001
   Berry PM, 2006, ENVIRON SCI POLICY, V9, P189, DOI 10.1016/j.envsci.2005.11.004
   Brajesh Jha Brajesh Jha, 2011, Indian Journal of Agricultural Economics, V66, P353
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Chapagain AK, 2008, WATER INT, V33, P19, DOI 10.1080/02508060801927812
   Jain M, 2015, GLOBAL ENVIRON CHANG, V31, P98, DOI 10.1016/j.gloenvcha.2014.12.008
   Kumar KSK, 2001, GLOBAL ENVIRON CHANG, V11, P147, DOI 10.1016/S0959-3780(01)00004-8
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Mendelsohn R, 2006, ENVIRON DEV ECON, V11, P159, DOI 10.1017/S1355770X05002755
   Nageshwara Rao G D, 2009, Res Bull, Patancheru 502 324, V23, P80
   Nelson GC., 2009, Impact on agriculture and costs of adaptation
   Nhemachena C., 2007, 00714 INT FOOD POL R
   Niles MT, 2015, AGR ECOSYST ENVIRON, V200, P178, DOI 10.1016/j.agee.2014.11.010
   Rao BB, 2014, GLOBAL PLANET CHANGE, V117, P1, DOI 10.1016/j.gloplacha.2014.03.001
   Singh NP, 2015, CABI CLIM CHANGE SER, V9, P58, DOI 10.1079/9781780644639.0058
   Singh NP, 2018, NAT HAZARDS, V92, P1287, DOI 10.1007/s11069-018-3250-y
   Singh NP, 2014, WEATHER CLIM EXTREME, V3, P54, DOI 10.1010/j.wace.2014.02.002
   Singh T. B. N., 2013, Ground water information booklet Ranchi District, Jharkhand State
NR 21
TC 4
Z9 4
U1 2
U2 6
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 APR
PY 2019
VL 18
IS 2
BP 376
EP 382
PG 7
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA JT0RF
UT WOS:000500705900022
DA 2025-01-10
ER

PT C
AU Barbierato, E
   Bernetti, I
   Capecchi, I
   Saragosa, C
AF Barbierato, Elena
   Bernetti, Iacopo
   Capecchi, Irene
   Saragosa, Claudio
BE Themistocleous, K
   Papadavid, G
   Michaelides, S
   Ambrosia, V
   Hadjimitsis, DG
TI Quantifying the impact of trees on land surface temperature: a
   downscaling algorithm at city-scale
SO SEVENTH INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF
   THE ENVIRONMENT (RSCY2019)
SE Proceedings of SPIE
LA English
DT Proceedings Paper
CT 7th International Conference on Remote Sensing and Geoinformation of the
   Environment (RSCy)
CY MAR 18-21, 2019
CL Cyprus Remote Sensing Soc, Paphos, CYPRUS
SP European Space Agcy, NASA, Grp Earth Observat, Deutsch Zentrum Luft & Raumfahrt e V, Minist Commun & Works, Dept Elect Commun, Copernicus Copernicus Relays Copernicus Acad, Cyprus Sci & Tech Chamber, Agr Res Inst, Dept Meteorol, Int Soc Photogrammetry & Remote Sensing, ICOMOS Cyprus, Cyprus Univ Technol, Neapolis Univ Pafos, Cyprus Tourism Org, Geosystems Hellas S A, CyRIC, Copernicus, Minist Transport Commun & Works, Dept Elect Commun, Copernicus Relays Copernicus Acad
HO Cyprus Remote Sensing Soc
DE climate change; land surface temperature; LiDAR; solar radiation; urban
   forest; urban heat island
ID URBAN HEAT-ISLAND; SIMULATION; WAVES
AB The climate of a city influences the ways in which its outdoor spaces are used. Especially public spaces intended for use by pedestrians and cyclists, such as parks, squares, residential and shopping streets, foot-paths and cycle-paths will be used and enjoyed more frequently when they have a comfortable and healthy climate. Due to a predicted global temperature rise, the climate is likely to be more uncomfortable especially in summer, when an increase in heat stress is expected. 'Urban forestry' has been proposed as one approach to mitigate the human health consequences of increased temperatures resulting from climate change. The aims of the research are: to provide a transferable methodology useful to analyze the effect of urban trees on the reduction surface temperature particularly in public spaces; to provide high-resolution urban mapping for adaptation strategies to climate change based on green space projects. The results identified that the main project dimensions on which to base climate adaptation strategies is the design of efficient public green spaces. In conclusion, the proposed model was used to validate the efficiency of the design simulations of new green spaces in temperature mitigation.
C1 [Barbierato, Elena; Bernetti, Iacopo; Capecchi, Irene] Univ Florence, Dept Agr, DAGRI, Florence, Italy.
   [Saragosa, Claudio] Univ Florence, Dept Agr, DIDA, Florence, Italy.
C3 University of Florence; University of Florence
RP Bernetti, I (corresponding author), Univ Florence, Dept Agr, DAGRI, Florence, Italy.
RI Barbierato, Elena/GON-4609-2022; Bernetti, Iacopo/ABZ-1446-2022
CR Anderson BG, 2009, EPIDEMIOLOGY, V20, P205, DOI 10.1097/EDE.0b013e318190ee08
   [Anonymous], 1959, Weatherwise, DOI [10.1080/00431672.1959.9926960, DOI 10.1080/00431672.1959.9926960]
   Bonafoni S, 2016, EUR J REMOTE SENS, V49, P553, DOI 10.5721/EuJRS20164929
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Bruse M., 2014, ENVI-Met 4
   Chun B, 2014, LANDSCAPE URBAN PLAN, V125, P76, DOI 10.1016/j.landurbplan.2014.01.016
   Pérez AF, 2018, CARTOGR GEOGR INF SC, V45, P329, DOI 10.1080/15230406.2017.1338620
   George AD, 2015, REMOTE SENS LETT, V6, P924, DOI 10.1080/2150704X.2015.1088671
   GILES BD, 1990, INT J BIOMETEOROL, V34, P98, DOI 10.1007/BF01093455
   Gobeawan L., 2018, INT ARCH PHOTOGRAMME, V42
   Guo GH, 2015, LANDSCAPE URBAN PLAN, V135, P1, DOI 10.1016/j.landurbplan.2014.11.007
   Hofierka J, 2009, RENEW ENERG, V34, P2206, DOI 10.1016/j.renene.2009.02.021
   Honjo T., 2009, GLOBAL ENV RES, V13, P43, DOI DOI 10.6090/JARQ.50.101
   Jayaraj P., 2018, 3D CITYGML BUILDING
   Konijnendijk CC, 2003, FOREST POLICY ECON, V5, P173, DOI 10.1016/S1389-9341(03)00023-6
   Kyle W. J., 1994, METEOROLOGY, V16, p[345, 11]
   Lam CKC, 2018, INT J BIOMETEOROL, V62, P97, DOI 10.1007/s00484-015-1125-4
   Lamarca C, 2018, URBAN CLIM, V23, P159, DOI 10.1016/j.uclim.2016.10.004
   Mirzaei PA, 2015, SUSTAIN CITIES SOC, V19, P200, DOI 10.1016/j.scs.2015.04.001
   Mitasova H., 2008, OPEN SOURCE GIS GRAS
   Myrup L.O., 1969, J APPL METEOR, V8, P908, DOI 2.0.CO;2
   Nakata-Osaki CM, 2018, COMPUT ENVIRON URBAN, V67, P157, DOI 10.1016/j.compenvurbsys.2017.09.007
   Ndossi MI, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8050413
   Nguyen HT, 2012, SOL ENERGY, V86, P1245, DOI 10.1016/j.solener.2012.01.017
   Oke T. R., 1977, J APPL
   OKE TR, 1973, ATMOS ENVIRON, V7, P769, DOI 10.1016/0004-6981(73)90140-6
   OKE TR, 1988, PROG PHYS GEOG, V12, P471, DOI 10.1177/030913338801200401
   Rajagopalan P., 2018, ARCHIT SCI REV, P1
   Rajeshwari A., 2014, INT J RES ENG TECHNO, V3, P122, DOI [10.15623/ijret.2014.0305025, DOI 10.15623/IJRET.2014.0305025]
   ROTH M, 1989, INT J REMOTE SENS, V10, P1699, DOI 10.1080/01431168908904002
   Rozbicki T., 2003, 5 INT C URB CLIM P W, V2, P455
   Tan Z, 2016, ENERG BUILDINGS, V114, P265, DOI 10.1016/j.enbuild.2015.06.031
   Thorsson S, 2007, INT J CLIMATOL, V27, P1983, DOI 10.1002/joc.1537
   Weng QH, 2004, REMOTE SENS ENVIRON, V89, P467, DOI 10.1016/j.rse.2003.11.005
   Yuan F, 2007, REMOTE SENS ENVIRON, V106, P375, DOI 10.1016/j.rse.2006.09.003
   Zhao CH, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10091428
NR 36
TC 0
Z9 0
U1 2
U2 11
PU SPIE-INT SOC OPTICAL ENGINEERING
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
SN 0277-786X
EI 1996-756X
BN 978-1-5106-3061-1; 978-1-5106-3062-8
J9 PROC SPIE
PY 2019
VL 11174
AR 111740M
DI 10.1117/12.2532066
PG 10
WC Environmental Sciences; Geography, Physical; Remote Sensing
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology; Physical Geography; Remote Sensing
GA BN6DN
UT WOS:000485125300021
DA 2025-01-10
ER

PT J
AU He, LF
   Li, P
   Zhou, ZS
   Xu, ZF
AF He, Lang-Fen
   Li, Pan
   Zhou, Zhong-Shi
   Xu, Zai-Fu
TI Temperature-dependent parasitism and development in <i>Aenasius
   arizonensis</i> Girault (Hymenoptera: Encyrtidae), a solitary
   endoparasitoid of <i>Phenacoccus solenopsis</i> (Hemiptera:
   Pseudococcidae)
SO INTERNATIONAL JOURNAL OF PEST MANAGEMENT
LA English
DT Article
DE Emergence rate; female ratio; developmental duration; developmental
   rate; mass rearing; optimum temperature
ID BAMBAWALEI HAYAT; COTTON MEALYBUG; TINSLEY; LEPIDOPTERA; BRACONIDAE;
   COLEOPTERA; LONGEVITY
AB Ophmella communa (Coleoptera: Chrysomelidae) is a biological control agent of Ambrosia artemisiifolia (Asterales: Asteraceae). To reveal its climate adaptation, the effect of temperature on life traits of Aenasius arizonensis, a parasitoid of Phenacoccus solenopsis was studied. The results showed that both the highest parasitism and emergence rates of A. arizonensis were observed at 31 degrees C. The parasitism and emergence rates of the parasitoid significantly increased with the increasing temperature from 19 degrees C to 31 degrees C, but dropped when the temperature exceeded 31 degrees C. Female ratio reached a higher value at 19, 22, 31, 34 or 37 degrees C. The minimum threshold temperatures for female and male parasitoids were 11.5 and 11.2 degrees C, respectively. The effective accumulative temperatures for the parasitoid to develop from eggs to both female and male adults were 222.2 day-degrees. Since the highest parasitism rate, the highest emergence rate and a higher female ratio were observed at 31 degrees C, we conclude that the optimum temperature for mass rearing of A. arizonensis is 31 degrees C in the insectary based on the results of our study.
C1 [He, Lang-Fen; Li, Pan; Xu, Zai-Fu] South China Agr Univ, Coll Nat Resources & Environm, Dept Entomol, Guangzhou, Guangdong, Peoples R China.
   [Zhou, Zhong-Shi] Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing, Peoples R China.
C3 South China Agricultural University; Chinese Academy of Agricultural
   Sciences; Institute of Plant Protection, CAAS
RP Xu, ZF (corresponding author), South China Agr Univ, Coll Nat Resources & Environm, Dept Entomol, Guangzhou, Guangdong, Peoples R China.; Zhou, ZS (corresponding author), Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing, Peoples R China.
EM zhongshizhou@yahoo.com; xuzaifu@scau.edu.cn
CR [Anonymous], 2004, SAS User's Guide: Statistics
   Ashfaq M, 2010, BIOCONTROL SCI TECHN, V20, P625, DOI 10.1080/09583151003693535
   Bharathi Mohindru Bharathi Mohindru, 2009, Indian Journal of Ecology, V36, P101
   Bodlah I, 2010, PAK J ZOOL, V42, P533
   Carcamo Marcial Correa, 2013, Biotemas, V26, P271
   Dhillon MK, 2009, BIOCONTROL, V54, P743, DOI 10.1007/s10526-009-9225-x
   Ding Y.Q., 1980, THEORY APPL INSECT P
   Fand BB, 2010, BIOCONTROL SCI TECHN, V21, P51, DOI 10.1080/09583157.2010.522702
   FLINN PW, 1991, ENVIRON ENTOMOL, V20, P872, DOI 10.1093/ee/20.3.872
   Gautam R. D., 2009, Annals of Plant Protection Sciences, V17, P473
   Gilbert N, 1996, CAN ENTOMOL, V128, P1, DOI 10.4039/Ent1281-1
   GOULD JR, 1990, ENVIRON ENTOMOL, V19, P859, DOI 10.1093/ee/19.4.859
   Hayat Mohammad, 2009, Biosystematica, V3, P21
   He, 2012, J ENV ENTOMOLOGY, V34, P329, DOI DOI 10.3969/J.ISSN.1674-0858.2012.03.12
   Hodgson C, 2008, ZOOTAXA, P1
   Huffaker Carl, 1999, P269
   Jhala R. C., 2009, Insect Environment, V14, P164
   Malina Radovan, 2008, Plant Protection Science, V44, P19
   MANN JA, 1990, MED VET ENTOMOL, V4, P245, DOI 10.1111/j.1365-2915.1990.tb00436.x
   Murthy K. Srinivasa, 2005, Journal of Entomological Research (New Delhi), V29, P23
   Nagrare VS, 2009, B ENTOMOL RES, V99, P537, DOI 10.1017/S0007485308006573
   Nechols J.R., 1999, P159
   Bueno RCOD, 2012, BIOL CONTROL, V60, P154, DOI 10.1016/j.biocontrol.2011.11.005
   Oliveira L., 1998, Journal of Hymenoptera Research, V7, P268
   Perveen Farzana, 2012, Arthropods, V1, P144
   Prabhakar M, 2013, COMPUT ELECTRON AGR, V97, P61, DOI 10.1016/j.compag.2013.07.004
   Prasad Y. G., 2011, Journal of Biological Control, V25, P198
   Pu ZL., 1978, THEORY TECHNIQUE BIO
   Qiu B, 2012, ENVIRON ENTOMOL, V41, P433
   Reznik SY, 2009, EUR J ENTOMOL, V106, P535, DOI 10.14411/eje.2009.067
   Ross L, 2011, BEHAV ECOL SOCIOBIOL, V65, P909, DOI 10.1007/s00265-010-1091-0
   Sankar C., 2011, Journal of Biological Control, V25, P242
   Sharma S. S., 2007, Haryana Journal of Horticultural Sciences, V36, P412
   Tanwar R.K., 2008, Indian Journal of Entomology, V70, P404
   TILLMAN PG, 1991, ENVIRON ENTOMOL, V20, P61, DOI 10.1093/ee/20.1.61
   Tunca H, 2010, TURK J AGRIC FOR, V34, P421, DOI 10.3906/tar-0907-262
   Wang YP, 2010, AGR FOREST ENTOMOL, V12, P403, DOI 10.1111/j.1461-9563.2010.00490.x
   Wu San-An, 2009, Chinese Bulletin of Entomology, V46, P159
   Zhou ZS, 2010, ENVIRON ENTOMOL, V39, P1021, DOI 10.1603/EN09176
NR 39
TC 5
Z9 7
U1 1
U2 24
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0967-0874
EI 1366-5863
J9 INT J PEST MANAGE
JI Int. J. Pest Manage.
PY 2018
VL 64
IS 1
BP 45
EP 50
DI 10.1080/09670874.2017.1296602
PG 6
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA FW0GP
UT WOS:000424972000007
DA 2025-01-10
ER

PT C
AU Faoro, ID
   Orth, AI
AF Faoro, I. D.
   Orth, A. I.
BE Onus, N
   Currie, A
TI Flower morphology of Nashi pear in regions of intermediate and high
   chilling units in southern Brazil
SO XXIX INTERNATIONAL HORTICULTURAL CONGRESS ON HORTICULTURE: SUSTAINING
   LIVES, LIVELIHOODS AND LANDSCAPES (IHC2014): INTERNATIONAL SYMPOSIUM ON
   PLANT BREEDING IN HORTICULTURE
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT 29th International Horticultural Congress on Horticulture - Sustaining
   Lives, Livelihoods and Landscapes (IHC) / International Symposium on
   Plant Breeding in Horticulture
CY AUG 17-22, 2014
CL Brisbane, AUSTRALIA
SP Int Soc Horticultural Sci
DE Pyrus; morphology; climatic difference; cultivars
AB This work had the objective of comparing the flower morphology of three Nashi pear (Pyrus pyrifolia var. culta) cultivars grown under two different climatic conditions in Santa Catarina State, Brazil. These different climatic conditions were a medium chilling units (MCU) site at Cacador (with 1.000 CU) and a high chilling units (HCU) site at Sao Joaquim (with 2.000 CU) during the winter of 2007. The three cultivars evaluated at each site were 'Housui', 'Kousui' and 'Nijisseiki'. At the coldest site, lateral buds on 1-year-old branches produced larger numbers of scales per flowering bud. Conversely, at the warmer site, larger numbers of sepals and petals were produced in individual flowers. Furthermore, larger numbers of long stigmas and larger numbers of anthers were produced at this warmer site. Under these warm climatic conditions, the flowers thus showed abnormal development, with potential implications for reduced fruit productivity. The three cultivars responded differently, with 'Kousui' producing more petals, pistils (stigmas and styles) and anthers than 'Housui' and 'Nijisseiki'. In Nashi pear breeding for regions with inadequate chilling units (CU), such as Cacador, the length of the peduncle does not seem a useful selection criterion for climatic adaptation.
C1 [Faoro, I. D.] EPAGRI Cacador Expt Stn, Cacador, Brazil.
   [Orth, A. I.] Santa Catarina Fed Univ, Florianopolis, SC, Brazil.
C3 Universidade Federal de Santa Catarina (UFSC)
RP Faoro, ID (corresponding author), EPAGRI Cacador Expt Stn, Cacador, Brazil.
EM ivanfaoro@uol.com.br; afonso.orth@ufsc.br
FU FINEP; FAPESC
FX Thank you to FINEP and FAPESC for financial support and my wife Edianez
   Bortot Faoro for helping on collecting the dates.
CR Pasqual M., 1978, COMUNICADO TECNICO, V16, P3
   Petri JL, 2004, ACTA HORTIC, P53, DOI 10.17660/ActaHortic.2004.662.4
   Quezada A. C., 2003, CLASSIFICACAO BOTANI, P20
   Tromp J., 2005, Fundamentals of temperate zone tree fruit production, P204
   Tromp J., 2005, FUNDAMENTALS TEMPERA, P56
   Verrissimo Valtair, 2004, Rev. Bras. Frutic., V26, P193, DOI 10.1590/S0100-29452004000200003
NR 6
TC 0
Z9 0
U1 0
U2 1
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
BN 978-94-62611-39-9
J9 ACTA HORTIC
PY 2016
VL 1127
BP 361
EP 364
DI 10.17660/ActaHortic.2016.1127.56
PG 4
WC Plant Sciences; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Plant Sciences; Agriculture
GA BH7BT
UT WOS:000402378500056
DA 2025-01-10
ER

PT J
AU King, MM
   Gregg, MA
AF King, Molly M.
   Gregg, Maria A.
TI Disability and climate change: A critical realist model of climate
   justice
SO SOCIOLOGY COMPASS
LA English
DT Article
DE adaptive capacity; climate action; climate change; climate justice;
   critical realist; disability; environmental justice; information seeking
   behavior; risk perception
ID CHANGE RISK PERCEPTION; CRISIS INFORMATION; NATURAL HAZARDS;
   HEALTH-RISKS; SOCIAL MEDIA; PEOPLE; DETERMINANTS; PREPAREDNESS;
   COMMUNITY; ATTITUDES
AB Existing literature on climate change as an issue of environmental justice documents the heightened vulnerability of people with disabilities to the effects of climate change. Additionally, there are numerous studies showing that access to information is a prerequisite for perceiving risk and taking action. Building on this work, our review seeks to understand how physical disability relates to perceptions of climate-related risk and adaptations to climate-related events. We introduce a critical realist model of climate justice to understand the relationships between the environmental features that disable, risk perception and information seeking, and adaptive capacity and resilience to climate change. In understanding the vulnerability and adaptive capacity of people with disabilities to climate change, this review synthesizes research on one of the U.S.'s largest minority communities with the goals of better understanding how vulnerable populations cope with climate change and integrating them into climate action and policy.
C1 [King, Molly M.; Gregg, Maria A.] Santa Clara Univ, Dept Sociol, Santa Clara, CA 95053 USA.
C3 Santa Clara University
RP King, MM (corresponding author), 500 El Camino Real, Santa Clara, CA 95053 USA.
EM mollymkingphd@gmail.com
RI King, Molly/O-3300-2019; King, Molly/A-3338-2011
OI King, Molly/0000-0002-9558-8622; Gregg, Maria/0000-0002-5475-6837
FU College of Arts and Sciences Dean's Grant; Common Good Initiative
   Research Grant at Santa Clara University
FX We are grateful to Christof Brandtner, Laura Ellingson, Ana Martinez,
   Emily Pachoud, and two anonymous reviewers for their feedback on earlier
   drafts of this manuscript. Financial support for this project was
   generously provided by a College of Arts and Sciences Dean's Grant and
   an Environmental Justice and the Common Good Initiative Research Grant
   at Santa Clara University.
CR Abbott D, 2013, DISABIL SOC, V28, P839, DOI 10.1080/09687599.2013.802222
   Akerlof KL, 2015, INT J ENV RES PUB HE, V12, P15419, DOI 10.3390/ijerph121214994
   [Anonymous], 2005, DIS EARL TSUN REL EF
   [Anonymous], ICF: International Classification of Functioning, Disability, and Health
   [Anonymous], 2012, Americans with disabilities: 2010
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Aryankhesal A, 2018, DISASTER MED PUBLIC, V12, P615, DOI 10.1017/dmp.2017.121
   Austin L, 2012, J APPL COMMUN RES, V40, P188, DOI 10.1080/00909882.2012.654498
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Bell SL, 2020, DISABIL SOC, V35, P682, DOI 10.1080/09687599.2019.1655856
   Berghs M, 2017, AFR J DISABIL, V6, DOI 10.4102/ajod.v6.292
   Bethel JW, 2011, AM J PREV MED, V40, P139, DOI 10.1016/j.amepre.2010.10.020
   Bialik K., 2017, 7 FACTS AM DISABILIT
   Bleiweis Robin., 2020, BASIC FACTS WOMEN PO
   Bouyer M, 2001, RISK ANAL, V21, P457, DOI 10.1111/0272-4332.213125
   Brewer NT, 2007, HEALTH PSYCHOL, V26, P136, DOI 10.1037/0278-6133.26.2.136
   CARE, 2018, RES LIV
   CDC (Centers for Disease Control and Prevention), 2015, INT CLASS FUNCT DIS
   CDC (Centers for Disease Control and Prevention), 2020, DIS HLTH REL COND
   Chen RJ, 2013, P ANN HICSS, P2033, DOI 10.1109/HICSS.2013.447
   Courtney-Long EA, 2017, J RACIAL ETHN HEALTH, V4, P213, DOI 10.1007/s40615-016-0220-5
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dietz T, 2020, ANNU REV SOCIOL, V46, P135, DOI 10.1146/annurev-soc-121919-054614
   Dines H., 2019, GUARDIAN        1015
   Druckman JN, 2019, NAT CLIM CHANGE, V9, P111, DOI 10.1038/s41558-018-0360-1
   Echavarren JM, 2019, SAFETY SCI, V120, P813, DOI 10.1016/j.ssci.2019.08.024
   Elliott JR, 2006, SOC SCI RES, V35, P295, DOI 10.1016/j.ssresearch.2006.02.003
   EPA (Environmental Protection Agency), 2020, ENV JUST FED FAC
   FISCHHOFF B, 1978, POLICY SCI, V9, P127, DOI 10.1007/BF00143739
   Fox M.H., 2007, Journal of Disability Policy Studies, V17, P196, DOI [DOI 10.1177/10442073070170040201, 10.1177/10442073070170040201]
   Frieden L., 2006, The impact of hurricanes Katrina and Rita on people with disabilities: A lookback and remaining challenges
   Fussell E, 2014, GLOBAL ENVIRON CHANG, V28, P182, DOI 10.1016/j.gloenvcha.2014.07.001
   Gaskin CJ, 2017, WEATHER CLIM SOC, V9, P801, DOI 10.1175/WCAS-D-16-0126.1
   Goodman N., 2019, Financial inequality: Disability, race, and poverty in America
   Gorgens T., 2019, PALGRAVE HDB DISABIL, P85, DOI [10.1007/978-3-319-74675-3_7, DOI 10.1007/978-3-319-74675-3_7]
   Griffin RJ, 1999, ENVIRON RES, V80, pS230, DOI 10.1006/enrs.1998.3940
   Gromet DM, 2013, P NATL ACAD SCI USA, V110, P9314, DOI 10.1073/pnas.1218453110
   Gruber J., 2015, Public Finance and Public Policy, V5th
   Hasan M., 2019, PERSONS DISABILITIES
   Hemingway L., 2006, REV DISABILITY STUDI, V2, P57
   Howell J, 2019, SOC PROBL, V66, P448, DOI 10.1093/socpro/spy016
   Ikeme J, 2003, GLOBAL ENVIRON CHANG, V13, P195, DOI 10.1016/S0959-3780(03)00047-5
   Jin Y, 2014, COMMUN RES, V41, P74, DOI 10.1177/0093650211423918
   Jodoin S, 2020, ECOL LAW QUART, V47, P73, DOI 10.15779/Z38W37KW48
   Kafer A  ..., 2013, Feminist, queer, crip, DOI DOI 10.1080/09687599.2013.888834
   Kailes JI., 2009, EMERGENCY POWER PLAN
   Kim EJ, 2016, J AM PLANN ASSOC, V82, P418, DOI 10.1080/01944363.2016.1218736
   Klinenberg E, 2020, ANNU REV SOCIOL, V46, P649, DOI 10.1146/annurev-soc-121919-054750
   Krewski D, 2012, J RISK RES, V15, P601, DOI 10.1080/13669877.2011.649297
   Lazrus H, 2012, WEATHER CLIM SOC, V4, P103, DOI 10.1175/WCAS-D-12-00015.1
   Legendre M, 2014, P NATL ACAD SCI USA, V111, P4274, DOI 10.1073/pnas.1320670111
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Lewis D., 2011, DEV B, V74, P59
   Li ZY, 2021, SCI COMMUN, V43, P64, DOI 10.1177/1075547020971646
   LUTGENDORF SK, 1995, PSYCHOSOM MED, V57, P310, DOI 10.1097/00006842-199507000-00002
   Mace MD., 2018, American Journal of Disaster Medicine, V13, P195, DOI DOI 10.5055/AJDM.2018.0300
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McCormick LC, 2013, J PUBLIC HEALTH MAN, V19, P266, DOI 10.1097/PHH.0b013e318264ed8c
   MCGUIRE JF, 1994, POLICY STUD J, V22, P112, DOI 10.1111/j.1541-0072.1994.tb02184.x
   Meierrieks D, 2021, WORLD DEV, V138, DOI 10.1016/j.worlddev.2020.105228
   Mitchell D, 2020, ROUT INT HANDB, P45
   Morris ZA, 2018, ENVIRON JUSTICE, V11, P89, DOI [10.108, 10.1089/env.2017.0043]
   Movement Advancement Project, 2019, LGBT PEOPL DIS
   Mythen G, 2008, SOCIOL COMPASS, V2, P299, DOI 10.1111/j.1751-9020.2007.00068.x
   Okoro CA, 2018, MMWR-MORBID MORTAL W, V67, P882, DOI 10.15585/mmwr.mm6732a3
   Oliver M., 1996, Understanding disability: From theory to practice
   Oliver M, 2013, DISABIL SOC, V28, P1024, DOI 10.1080/09687599.2013.818773
   Oreskes N, 2004, SCIENCE, V306, P1686, DOI 10.1126/science.1103618
   Ortoleva S., 2012, Forgotten sisters - a report on violence against women with disabilities: An overview of its nature, scope, causes, and consequences
   Osborne N, 2015, PLAN THEOR, V14, P130, DOI 10.1177/1473095213516443
   Plapp T, 2006, PROC MONOGR ENG WATE, P101
   Priestley M, 2007, J SOC WORK DISABIL R, V5, P23, DOI 10.1300/J198v05n03_02
   Reidmiller D. R., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, VII, DOI [DOI 10.7930/NCA4.2018, 10.7930/NCA4.2018]
   Roth M., 2018, Getting It Wrong: An Indictment with a Blueprint for Getting It Right
   Scherer CW, 2003, RISK ANAL, V23, P261, DOI 10.1111/1539-6924.00306
   Schroeder A, 2013, J TRAVEL TOUR MARK, V30, P126, DOI 10.1080/10548408.2013.751271
   Shakespeare T., 2013, Disability rights and wrongs revisited, DOI DOI 10.4324/9781315887456
   Shakespeare Tom., 2001, RES SOCIAL SCI DISAB, P9, DOI [DOI 10.1016/S1479-3547(01)80018-X, 10.1016/S1479-3547(01)80018-X]
   Shapiro J.P., 1994, No pity: People with disabilities forging a new civil rights movement
   Shildrick M, 2020, ROUT INT HANDB, P32
   Sjöberg L, 2000, RISK ANAL, V20, P1, DOI 10.1111/0272-4332.00001
   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 F., 2017, Disability and climate resilience: a literature review
   Spence PR, 2007, J HEALTH CARE POOR U, V18, P394, DOI 10.1353/hpu.2007.0047
   Steg L, 2016, ANNU REV ENV RESOUR, V41, P277, DOI 10.1146/annurev-environ-110615-085947
   Stella E, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-72440-6
   Stoll LC, 2021, SOCIOL COMPASS, V15, DOI 10.1111/soc4.12869
   Taylor Danielle M., 2018, American With Disabilities: 2014
   Thomas C., 2004, Implementing the social model of disability: Theory and research, P32
   Thomas Carol., 1999, Female Forms: Experiencing and Understanding Disability
   U.S. Bureau of Labor Statistics Office of Disability Employment Policy, 2021, DISABILITY EMPLOYMEN
   UN Department of Economic and Social Affairs, 2007, EMPL PERS DIS
   UNHCHR (Office of the United Nations High Commissioner for Human Rights), 2020, AN STUD PROM PROT RI
   UNISDR (United Nations Office for Disaster Risk Reduction), 2013, INT DAY DIS RED INF
   van der Linden S, 2015, J ENVIRON PSYCHOL, V41, P112, DOI 10.1016/j.jenvp.2014.11.012
   WHO, 2011, WORLD REPORT ON DISABILITY, P1
   Williams SJ, 1999, SOCIOL HEALTH ILL, V21, P797, DOI 10.1111/1467-9566.00184
   Willoughby M, 2017, J AM MED DIR ASSOC, V18, P664, DOI 10.1016/j.jamda.2017.02.005
   Wolbring G., 2009, J. Media Cult, V12, P4, DOI [10.5204/mcj.173, DOI 10.5204/MCJ.173]
   Wolbring G, 2013, ADV MED SOCIOL, V15, P91, DOI 10.1108/S1057-6290(2013)0000015008
   Wolbring G, 2011, CAN J PUBLIC HEALTH, V102, P317, DOI 10.1007/BF03404058
   Wright E., 2020, CLIMATE CHANGE DISAB
   Wright G, 2000, RISK ANAL, V20, P681, DOI 10.1111/0272-4332.205061
   Zhang Y, 2007, J ENVIRON HEALTH, V70, P32
   2017, DISABILITY STUDIES E, P1
NR 106
TC 11
Z9 11
U1 14
U2 58
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1751-9020
J9 SOCIOL COMPASS
JI Sociol. Compass
PD JAN
PY 2022
VL 16
IS 1
AR e12954
DI 10.1111/soc4.12954
EA DEC 2021
PG 16
WC Sociology
WE Social Science Citation Index (SSCI)
SC Sociology
GA XY9RJ
UT WOS:000731073100001
DA 2025-01-10
ER

PT J
AU Laz, OU
   Rahman, A
   Ouarda, TBMJ
   Jahan, N
AF Laz, Orpita U.
   Rahman, Ataur
   Ouarda, Taha B. M. J.
   Jahan, Nasreen
TI Stationary and non-stationary temperature-duration-frequency curves for
   Australia
SO STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
LA English
DT Article
DE Annual maximum temperature; Climate change; Climate drivers; Generalised
   extreme value; Non-stationary; Temperature-duration-frequency
ID EXTREME-VALUE ANALYSIS; CLIMATE VARIABILITY; HEAT WAVES; EL-NINO;
   RAINFALL; ENSO; DROUGHT; IMPACT
AB Australian summer heat events have become more frequent and severe in recent times. Temperature-duration-frequency (TDF) curves connect the severity of heat episodes of various durations to their frequencies and thus can be an effective tool for analysing the heat extremes. This study examines Australian heat events using data from 82 meteorological stations. TDF curves have been developed under stationary and non-stationary conditions. Generalised Extreme Value (GEV) distribution is considered to estimate extreme temperatures for return periods of 2, 5, 10, 25, 50 and 100 years. Three major climate drivers for Australia have been considered as potential covariates along with Time to develop the non-stationary TDF curves. According to the Akaike information criterion, the non-stationary framework for TDF modelling provides a better fit to the data than its stationary equivalent. The findings can be beneficial in offering new information to aid climate adaptation and mitigation at the regional level in Australia.
C1 [Laz, Orpita U.; Rahman, Ataur] Western Sydney Univ, Sch Engn Design & Built Environm, Locked Bag 1797, Penrith, NSW 2751, Australia.
   [Ouarda, Taha B. M. J.] Inst Natl Rech Sci INRS ETE, Canada Res Chair Stat Hydroclimatol, Quebec City, PQ, Canada.
   [Jahan, Nasreen] Bangladesh Univ Engn & Technol, Dept Water Resources Engn, Dhaka, Bangladesh.
C3 Western Sydney University; University of Quebec; Institut national de la
   recherche scientifique (INRS); Bangladesh University of Engineering &
   Technology (BUET)
RP Rahman, A (corresponding author), Western Sydney Univ, Sch Engn Design & Built Environm, Locked Bag 1797, Penrith, NSW 2751, Australia.
EM 183171116@student.westernsydney.edu.au; a.rahman@westernsydney.edu.au;
   Taha.Ouarda@inrs.ca; nasreenjahan@wre.buet.ac.bd
RI Rahman, Ataur/JEP-7733-2023
CR Arblaster JM, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053409
   Bellenger H, 2014, CLIM DYNAM, V42, P1999, DOI 10.1007/s00382-013-1783-z
   Berghuijs WR, 2019, GEOPHYS RES LETT, V46, P1423, DOI 10.1029/2018GL081883
   Boschat G, 2015, CLIM DYNAM, V44, P1823, DOI 10.1007/s00382-014-2214-5
   Cai W, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL040163
   Cai WJ, 2014, NAT CLIM CHANGE, V4, P111, DOI [10.1038/nclimate2100, 10.1038/NCLIMATE2100]
   Cai WJ, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2011GL050820
   Cai WJ, 2011, J CLIMATE, V24, P3910, DOI 10.1175/2011JCLI4129.1
   Cai WJ, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL040334
   Cheng LY, 2014, SCI REP-UK, V4, DOI 10.1038/srep07093
   Cheng LY, 2014, CLIMATIC CHANGE, V127, P353, DOI 10.1007/s10584-014-1254-5
   Chowdary JS, 2014, INT J CLIMATOL, V34, P416, DOI 10.1002/joc.3695
   Coles S., 2001, An Introduction to Statistical Modeling of Extreme Values, DOI DOI 10.1007/978-1-4471-3675-0
   Cowan T, 2014, J CLIMATE, V27, P5851, DOI 10.1175/JCLI-D-14-00092.1
   CSIRO and Australian Government (Bureau of Meteorology), 2020, MEDICINE, P1
   Devi R, 2022, THEOR APPL CLIMATOL, V147, P291, DOI 10.1007/s00704-021-03824-5
   El Adlouni S, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006427
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Galiatsatou P, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031229
   Ganguli P, 2017, HYDROL EARTH SYST SC, V21, P6461, DOI 10.5194/hess-21-6461-2017
   Guthrie M, 2021, CLIMATE DRIVERS S W
   Haddad K, 2021, THEOR APPL CLIMATOL, V143, P1261, DOI 10.1007/s00704-020-03455-2
   Halpert MS., 1992, J CLIMATOL, DOI [10.1175/1520-0442(1992)005andlt;0577:stpawtandgt;2.0.co;2, DOI 10.1175/1520-0442(1992)005ANDLT;0577:STPAWTANDGT;2.0.CO;2]
   Hendon HH, 2007, J CLIMATE, V20, P2452, DOI 10.1175/JCLI4134.1
   Hundecha Y, 2008, J APPL METEOROL CLIM, V47, P2745, DOI 10.1175/2008JAMC1665.1
   Jakob D, 2013, NONSTATIONARITY EXTR, P363, DOI [10.1007/978-94-007-4479-0_13, DOI 10.1007/978-94-007-4479-0_13]
   Katz RW, 2002, ADV WATER RESOUR, V25, P1287, DOI 10.1016/S0309-1708(02)00056-8
   Koutsoyiannis D, 1998, J HYDROL, V206, P118, DOI 10.1016/S0022-1694(98)00097-3
   Kwon HH, 2016, WATER RESOUR RES, V52, P5662, DOI 10.1002/2016WR018959
   Liu L, 2014, CLIM DYNAM, V43, P1715, DOI 10.1007/s00382-013-2000-9
   Lorenz R, 2019, GEOPHYS RES LETT, V46, P8363, DOI 10.1029/2019GL082062
   Maher P, 2014, J CLIMATE, V27, P6377, DOI 10.1175/JCLI-D-13-00659.1
   Meyers G, 2007, J CLIMATE, V20, P2872, DOI 10.1175/JCLI4152.1
   Min SK, 2013, J GEOPHYS RES-ATMOS, V118, P643, DOI 10.1002/jgrd.50164
   Nicholls N., 1985, Australian Meteorological Magazine, V33, P161
   Nicholls N, 2007, INT J WILDLAND FIRE, V16, P540, DOI 10.1071/WF06125
   Oliveira FNM, 2017, INT J CLIMATOL, V37, P3067, DOI 10.1002/joc.4899
   Omer A, 2020, SCI TOTAL ENVIRON, V704, DOI 10.1016/j.scitotenv.2019.135428
   Ouarda TBMJ, 2020, INT J CLIMATOL, V40, P2373, DOI 10.1002/joc.6339
   Ouarda TBMJ, 2019, INT J CLIMATOL, V39, P2306, DOI 10.1002/joc.5953
   Ouarda TBMJ, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-33974-y
   Parker TJ, 2013, GEOPHYS RES LETT, V40, P6264, DOI 10.1002/2013GL058257
   Perkins SE, 2015, J GEOPHYS RES-ATMOS, V120, P8144, DOI 10.1002/2015JD023592
   Power S, 1999, CLIM DYNAM, V15, P319, DOI 10.1007/s003820050284
   Power S, 2006, J CLIMATE, V19, P4755, DOI 10.1175/JCLI3868.1
   Risbey JS, 2009, MON WEATHER REV, V137, P3233, DOI 10.1175/2009MWR2861.1
   Ropelewski CF, 1989, J CLIMATE, V2, P268, DOI 10.1175/1520-0442(1989)002<0268:PPAWTH>2.0.CO;2
   ROSSI F, 1994, NATO ADV SCI INST SE, V257, P193
   Saji NH, 1999, NATURE, V401, P360, DOI 10.1038/43855
   Sarhadi A, 2017, GEOPHYS RES LETT, V44, P2454, DOI 10.1002/2016GL072201
   Sein KK, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9120477
   Singh VP, 2007, J HYDROL ENG, V12, P651, DOI 10.1061/(ASCE)1084-0699(2007)12:6(651)
   Spinoni J, 2017, GLOBAL PLANET CHANGE, V148, P113, DOI 10.1016/j.gloplacha.2016.11.013
   Sugahara S, 2009, INT J CLIMATOL, V29, P1339, DOI 10.1002/joc.1760
   Suman M, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-63571-x
   Thompson DWJ, 2000, J CLIMATE, V13, P1000, DOI 10.1175/1520-0442(2000)013<1018:AMITEC>2.0.CO;2
   Turney CSM, 2007, J QUATERNARY SCI, V22, P421, DOI 10.1002/jqs.1139
   Ummenhofer CC, 2011, J CLIMATE, V24, P1313, DOI 10.1175/2010JCLI3475.1
   Ummenhofer CC, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2008GL036801
   Wang XLL, 2013, GEOPHYS RES LETT, V40, P573, DOI 10.1002/grl.50132
   White CJ, 2013, CLIM DYNAM, V41, P3145, DOI 10.1007/s00382-013-1718-8
   Yan HX, 2020, HYDROL PROCESS, V34, DOI 10.1002/hyp.13673
   Yan HX, 2019, J HYDROL ENG, V24, DOI 10.1061/(ASCE)HE.1943-5584.0001799
   Yilmaz AG, 2014, J HYDROL ENG, V19, P1160, DOI 10.1061/(ASCE)HE.1943-5584.0000878
NR 64
TC 2
Z9 2
U1 3
U2 8
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1436-3240
EI 1436-3259
J9 STOCH ENV RES RISK A
JI Stoch. Environ. Res. Risk Assess.
PD NOV
PY 2023
VL 37
IS 11
BP 4459
EP 4477
DI 10.1007/s00477-023-02518-w
EA AUG 2023
PG 19
WC Engineering, Environmental; Engineering, Civil; Environmental Sciences;
   Statistics & Probability; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Mathematics; Water
   Resources
GA T1AL1
UT WOS:001044256500001
OA Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Hu, QS
   Becken, S
   He, XR
AF Hu, Qiangsheng
   Becken, Susanne
   He, Xiaorong
TI Climate risk perception and adaptation of tourism sector in China
SO JOURNAL OF DESTINATION MARKETING & MANAGEMENT
LA English
DT Article
DE Tourism; Climate adaptation; Protection motivation theory; Destinations;
   Structural equation modeling
ID PROTECTION MOTIVATION THEORY; SOCIAL AMPLIFICATION; ADAPTIVE CAPACITY;
   CHANGE IMPACTS; MEKONG DELTA; BEHAVIOR; WEATHER; FRAMEWORK; INFORMATION;
   DESTINATION
AB Understanding the perceptions of climate change by those working in tourism greatly supports development of adaptation measures in destinations. However, limited evidence of either perceptions or tourism adaptation measures is available from China. Building on protection motivation theory, this study explores how Chinese working in tourism perceive climate change and what their adaptation intentions are. The study demonstrates that the current level of climate risk perception is relatively high, and people feel informed. The results indicate that (1) Information plays an important role in risk and adaptation appraisals; (2) Individuals are more likely to take adaptation measures if they perceive greater climate risks and have higher adaptive capacity; (3) An increase in adaptive incentives would generally support an increase in adaptation appraisal; (4) Providing greater adaptive incentives will motivate tourism staff to take actions and implement adaptation measures. The findings have implications for adaptation policies and strategies in destinations.
C1 [Hu, Qiangsheng] Hunan Univ Finance & Econ, Coll Humanities & Arts, Changsha, Peoples R China.
   [Becken, Susanne] Griffith Univ, Sustainable Tourism, Gold Coast, Australia.
   [Becken, Susanne] Univ Surrey, Guildford, Surrey, England.
   [He, Xiaorong] Hunan Normal Univ, Coll Tourism, Changsha, Peoples R China.
C3 Hunan University of Finance & Economics; Griffith University; Griffith
   University - Gold Coast Campus; University of Surrey; Hunan Normal
   University
RP He, XR (corresponding author), Hunan Normal Univ, Coll Tourism, Changsha, Peoples R China.
EM huqiangsheng@hufe.edu.cn; s.becken@griffith.edu.au; hxr@hunnu.edu.cn
RI Hu, Qiangsheng/JDM-4784-2023; Becken, Susanne/AFK-2875-2022
FU China Scholarship Council [201806720016]
FX This study is financially supported by the China Scholarship Council
   (Grant No. 201806720016) .
CR Agrawal A., 2008, Local institutions and climate change adaptation
   [Anonymous], 2013, ENABLING ENV PRIVATE
   Becken S, 2005, GLOBAL ENVIRON CHANG, V15, P381, DOI 10.1016/j.gloenvcha.2005.08.001
   Becken S, 2020, J SUSTAIN TOUR, V28, P1603, DOI 10.1080/09669582.2020.1745217
   Becken S, 2015, J TRAVEL RES, V54, P430, DOI 10.1177/0047287514528286
   Becken S, 2013, ENVIRON DEV, V8, P22, DOI 10.1016/j.envdev.2013.05.007
   Becken S, 2013, J TRAVEL RES, V52, P156, DOI 10.1177/0047287512461569
   Becken Susanne., 2012, Climate Change and Tourism: From Policy to Practice
   Botzen WJW, 2019, RISK ANAL, V39, P2143, DOI 10.1111/risa.13318
   Brenkert-Smith H, 2013, RISK ANAL, V33, P800, DOI 10.1111/j.1539-6924.2012.01917.x
   Chin N, 2019, J DESTIN MARK MANAGE, V12, P125, DOI 10.1016/j.jdmm.2018.12.009
   China State Council, 2018, GUID OP GEN OFF STAT
   China Tourism Academy, 2018, REP CHIN SUMM TOUR B
   Cho J, 2006, J BUS RES, V59, P112, DOI 10.1016/j.jbusres.2005.03.006
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Cismaru M, 2011, SOC MARK Q, V17, P62, DOI 10.1080/15245004.2011.595539
   Cook C, 2000, EDUC PSYCHOL MEAS, V60, P821, DOI 10.1177/00131640021970934
   Craig CA, 2019, TOURISM MANAGE, V75, P340, DOI 10.1016/j.tourman.2019.06.005
   DeCoster J., 2005, Scale construction notes
   [董雪旺 Dong Xuewang], 2016, [生态学报, Acta Ecologica Sinica], V36, P554
   Fabrigar LR, 1999, PSYCHOL METHODS, V4, P272, DOI 10.1037/1082-989X.4.3.272
   Floyd DL, 2000, J APPL SOC PSYCHOL, V30, P407, DOI 10.1111/j.1559-1816.2000.tb02323.x
   FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312
   GEBREHIWOT T, 2020, CLIM DEV, V2020, P1
   Gössling S, 2021, J SUSTAIN TOUR, V29, P1, DOI 10.1080/09669582.2020.1758708
   Gössling S, 2012, ANN TOURISM RES, V39, P36, DOI 10.1016/j.annals.2011.11.002
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hair J. F., 2010, Multivariate data analysis
   Heimlich JE, 2008, ENVIRON EDUC RES, V14, P215, DOI 10.1080/13504620802148881
   Herath T, 2009, EUR J INFORM SYST, V18, P106, DOI 10.1057/ejis.2009.6
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Hu Q, 2020, THESIS HUNAN NORMAL
   Huebner A, 2012, J SUSTAIN TOUR, V20, P939, DOI 10.1080/09669582.2012.667107
   International Organization For Standardization, 2018, ISO 31000:2018(en)
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jeuring J, 2013, TOURISM MANAGE, V37, P193, DOI 10.1016/j.tourman.2013.02.004
   Jiang, 2016, NANJING J SOC SCI, P138
   Jiang M., 2015, TOURISM TRIBUNE, V30, P138
   Kaján E, 2013, CURR ISSUES TOUR, V16, P167, DOI 10.1080/13683500.2013.774323
   Kellens W, 2012, RISK ANAL, V32, P1369, DOI 10.1111/j.1539-6924.2011.01743.x
   Kline RB., 2016, Principles and Practice of Structural Equation Modeling, V4th ed.
   Kuruppu N, 2011, GLOBAL ENVIRON CHANG, V21, P657, DOI 10.1016/j.gloenvcha.2010.12.002
   Leiserowitz A., 2013, GLOBAL WARMINGS 6 IN, DOI [DOI 10.13140/RG, 10.13140/RG.2.2.23171.91688, DOI 10.13140/RG.2.2.23171.91688]
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Lemieux CJ, 2011, CAN GEOGR-GEOGR CAN, V55, P301, DOI 10.1111/j.1541-0064.2010.00336.x
   Lenzen M, 2018, NAT CLIM CHANGE, V8, P522, DOI 10.1038/s41558-018-0141-x
   [刘俊 Liu Jun], 2016, [地理研究, Geographical Research], V35, P504
   Liu M., 2016, OCEAN DEV MANAGEMENT, V33, P57
   Loehr J, 2021, ANN TOURISM RES, V86, DOI 10.1016/j.annals.2020.103073
   Luo F, 2018, TOURISM MANAGE, V65, P1, DOI 10.1016/j.tourman.2017.09.012
   LUO L, 2017, ACTA ECOL SIN, V27, P2329
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McLennan B, 2016, NAT HAZARDS, V84, P2031, DOI 10.1007/s11069-016-2532-5
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Murgraff V, 1999, PSYCHOL HEALTH, V14, P339, DOI 10.1080/08870449908407332
   Nalau J, 2018, WEATHER CLIM SOC, V10, P851, DOI 10.1175/WCAS-D-18-0032.1
   Nunnally J. C., 1978, Psychometric theory
   Rauken T, 2010, ANATOLIA, V21, P289, DOI 10.1080/13032917.2010.9687104
   Rennie H., 2013, EVALUATING BUSINESS
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Scott D., 2008, CLIMATE CHANGE TOURI, V230, P1
   Scott D, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13041966
   Shakeela A, 2015, J SUSTAIN TOUR, V23, P65, DOI 10.1080/09669582.2014.918135
   Shi P.H., 2010, TOUR TRIB, V25, P13
   Shihong, 2014, CHINA POPULATION RES, V24, P78
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Steg L, 2011, SOC NATUR RESOUR, V24, P349, DOI 10.1080/08941920903214116
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Valls JF, 2009, TOUR REV, V64, P41, DOI 10.1108/16605370910963518
   Huynh VD, 2019, ASIA PAC J TOUR RES, V24, P894, DOI 10.1080/10941665.2019.1653338
   VANDERVELDE FW, 1991, J BEHAV MED, V14, P429, DOI 10.1007/BF00845103
   Wang J, 2019, ANN TOURISM RES, V78, DOI 10.1016/j.annals.2019.102743
   [王世金 Wang Shijin], 2012, [冰川冻土, Journal of Glaciology and Geocryology], V34, P207
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
   WHETTEN DA, 1989, ACAD MANAGE REV, V14, P490, DOI 10.2307/258554
   Whittlesea E., 2018, Building a resilient tourism industry: Queensland Tourism climate change response plan
   Wilkins E, 2018, TOURISM GEOGR, V20, P273, DOI 10.1080/14616688.2017.1399437
   Wood MM, 2012, RISK ANAL, V32, P601, DOI 10.1111/j.1539-6924.2011.01645.x
   World Tourism Organization, 2019, GUID SUCC CHIN OUTB, DOI [10.18111/9789284419876, DOI 10.18111/9789284419876]
   Wu P., 2018, VIGOROUSLY DEV SUMME
   Xi J., 2010, Tour. Trib, V25, P86
   [杨俊 Yang Jun], 2016, [资源科学, Resources Science], V38, P2210
   Zhong LS, 2011, CHINA SOFT SCI, V2, P34
   [周年兴 Zhou Nianxing], 2013, [生态学报, Acta Ecologica Sinica], V33, P4134
NR 84
TC 10
Z9 10
U1 9
U2 67
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-571X
EI 2212-5752
J9 J DESTIN MARK MANAGE
JI J. Destin. Mark. Manag.
PD MAR
PY 2022
VL 23
AR 100675
DI 10.1016/j.jdmm.2021.100675
EA DEC 2021
PG 11
WC Hospitality, Leisure, Sport & Tourism; Management
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics; Business & Economics
GA XP7XB
UT WOS:000731073700002
OA Bronze
DA 2025-01-10
ER

PT J
AU Bowden, V
   Gond, JP
   Nyberg, D
   Wright, C
AF Bowden, Vanessa
   Gond, Jean-Pascal
   Nyberg, Daniel
   Wright, Christopher
TI Turning Back the Rising Sea: Theory performativity in the shift from
   climate science to popular authority
SO ORGANIZATION STUDIES
LA English
DT Article
DE climate change; performativity; power; translation
ID ACTOR-NETWORK THEORY; POST-TRUTH; SOCIOLOGY; STRATEGY
AB Action on climate change continues to be hampered by vested interests seeding doubt about science and the need to reduce carbon emissions. Using a qualitative case study of local climate adaptation to sea level rise, we show how climate change science is translated into a self-referential theory focused on property prices. Our analysis develops two mechanisms - enablement and theorization - to explain the relationship between theory performativity and power within a process of translation. This contributes to (1) the performativity debate by showing how the constitution of power relations shapes theory performativity; (2) theories of power, by tracing the ways in which certain actors are able to enrol others and impact the authority of particular theories, and (3) processes of translation by developing mechanisms for following the ways in which power and theory performativity interact. We conclude by arguing that a performative understanding of how power shapes beliefs is central to combating the failure to address climate change.
C1 [Bowden, Vanessa] Univ Newcastle, Business Sch, Newcastle Upon Tyne, Tyne & Wear, England.
   [Nyberg, Daniel] Univ Newcastle, Business Sch, Management, Newcastle Upon Tyne, Tyne & Wear, England.
   [Gond, Jean-Pascal] City Univ London, Corp Social Responsibil, London, England.
   [Wright, Christopher] Univ Sydney, Sydney, NSW, Australia.
C3 Newcastle University - UK; Newcastle University - UK; City St Georges,
   University of London; City, University of London; University of Sydney
RP Bowden, V (corresponding author), Univ Newcastle, NEWSpace Univ Newcastle, CNR Hunter & Auckland St, Newcastle, NSW 2300, Australia.
EM vanessa.bowden@newcastle.edu.au
RI ; Nyberg, Daniel/ABE-2371-2021
OI Bowden, Vanessa/0000-0002-6642-2826; Nyberg, Daniel/0000-0002-7144-1343;
   Gond, Jean-Pascal/0000-0002-9331-6957; Wright,
   Christopher/0000-0001-8624-9605
CR Akrich M., 2002, International Journal of Innovation Management, V6, P207, DOI [10.1142/S1363919602000562, https://doi.org/10.1142/S1363919602000562]
   Alcadipani R, 2010, ORGANIZATION, V17, P419, DOI 10.1177/1350508410364441
   [Anonymous], 2019, ACAD MANAGEMENT REV
   [Anonymous], 2013, BARRIERS ADAPTATION
   Austin John Langshaw, 1962, DO THINGS WORDS
   BARNES B, 1983, SOCIOLOGY, V17, P524, DOI 10.1177/0038038583017004004
   Barnes B, 1984, SOCIOL REV, V32, P180, DOI DOI 10.1111/J.1467-954X.1984.TB00112.X
   Barnes Barry., 1988, THE NATURE OF POWER
   Bourgoin A, 2020, ACAD MANAGE J, V63, P1134, DOI 10.5465/amj.2017.1335
   Cabantous L, 2011, ORGAN SCI, V22, P573, DOI 10.1287/orsc.1100.0534
   Cabantous L, 2010, ORGAN STUD, V31, P1531, DOI 10.1177/0170840610380804
   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 M., 2009, ACTING UNCERTAIN WOR
   Callon M., 2017, EMPRISE MARCHES COMP
   Callon M, 2009, ACCOUNT ORG SOC, V34, P535, DOI 10.1016/j.aos.2008.04.003
   Callon Michel., 1981, Advances in Social Theory and Methodology: Toward an Integration of Micro and Macro-Sociologies, P277
   Carton G, 2020, ORGAN STUD, V41, P1417, DOI 10.1177/0170840619897197
   Cloutier C, 2020, ORGAN THEOR, V1, DOI 10.1177/2631787720902473
   Commonwealth Scientific and Industrial Research Organisation (CSIRO), 2007, UNDERSTANDING IMPROV
   Connor LH, 2016, Climate Change and Anthropos. Planet, People and Places
   Cronshaw, 2012, NEWCASTLE HERAL 0131
   D'Adderio L, 2014, ORGAN STUD, V35, P1813, DOI 10.1177/0170840614538962
   Department of Climate Change, 2009, CLIMATE CHANGE RISKS
   Foroughi H, 2019, LEADERSHIP-LONDON, V15, P135, DOI 10.1177/1742715019835369
   Garud R, 2019, ACAD MANAGE REV, V44, P679, DOI 10.5465/amr.2018.0315
   Goffet Neil., 2011, NEWCASTLE HERAL 1029
   Gond JP, 2016, INT J MANAG REV, V18, P440, DOI 10.1111/ijmr.12074
   Gond JP, 2017, ORGAN STUD, V38, P1127, DOI 10.1177/0170840616677630
   Intergovernmental Panel on Climate Change (IPCC), 2007, 4 ASS SYNTH REP
   Knight E, 2019, ORGAN STUD, V40, P183, DOI 10.1177/0170840618814557
   Kofman Ava., 2018, New York Times
   Kornberger M, 2011, STRATEG ORGAN, V9, P136, DOI 10.1177/1476127011407758
   Lake Macquarie City Council (LMCC), 2011, EXH DRAFT LAK MACQ W
   Langley A, 1999, ACAD MANAGE REV, V24, P691, DOI 10.2307/259349
   Langley A, 2013, ACAD MANAGE J, V56, P1, DOI 10.5465/amj.2013.4001
   LATOUR B, 1986, SOCIOL RE MONOGR, P264
   Latour B., 2018, Down to earth: Politics in the new climatic regime
   Law J., 1990, Sociological Review, V38, P165, DOI DOI 10.1111/J.1467-954X.1990.TB03352.X
   Lefsrud LM, 2012, ORGAN STUD, V33, P1477, DOI 10.1177/0170840612463317
   Lewis Peter., 2011, NEWCASTLE HERAL 1109
   Ligonie M, 2018, LONG RANGE PLANN, V51, P463, DOI 10.1016/j.lrp.2017.04.001
   MacKenzie D, 2003, AM J SOCIOL, V109, P107, DOI 10.1086/374404
   Mackenzie Donald., 2007, ECONOMISTS MAKE MARK, P54
   MacKenzie Donald., 2006, An Engine, Not a Camera: How Financial Models Shape Markets
   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
   [Masson-Delmotte IPCC. IPCC.], 2018, Global Warming of 1.5C
   McCright AM, 2010, THEOR CULT SOC, V27, P100, DOI 10.1177/0263276409356001
   Mena S, 2016, HUM RELAT, V69, P1669, DOI 10.1177/0018726715622556
   Newcastle Herald, 2012, NEWCASTLE HERAL 0825
   NSW Chief Scientist and Engineer, 2012, ASS SCI NSW GOV SEA
   NSW Government, SEA LEV COASTS
   Nyberg D, 2016, ORGANIZATION, V23, P617, DOI 10.1177/1350508415572038
   Nyberg D, 2013, ORGANIZATION, V20, P433, DOI 10.1177/1350508413478585
   Porter AJ, 2018, ORGAN STUD, V39, P873, DOI 10.1177/0170840617707999
   Porter JJ, 2015, GLOBAL ENVIRON CHANG, V35, P411, DOI 10.1016/j.gloenvcha.2015.10.004
   Spash CL, 2016, GLOBALIZATIONS, V13, P928, DOI 10.1080/14747731.2016.1161119
   Whittle A, 2008, ORGAN STUD, V29, P611, DOI 10.1177/0170840607082223
   Wright C., 2015, CLIMATE CHANGE CAPIT, DOI DOI 10.1017/CBO9781139939676
NR 60
TC 10
Z9 10
U1 7
U2 21
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 DEC
PY 2021
VL 42
IS 12
SI SI
BP 1909
EP 1931
AR 01708406211024558
DI 10.1177/01708406211024558
EA JUN 2021
PG 23
WC Management
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA XA5CL
UT WOS:000667896700001
DA 2025-01-10
ER

PT J
AU Gabbe, CJ
   Pierce, G
AF Gabbe, C. J.
   Pierce, Gregory
TI Extreme Heat Vulnerability of Subsidized Housing Residents in California
SO HOUSING POLICY DEBATE
LA English
DT Article
DE affordable housing; subsidized housing; extreme heat; climate adaptation
ID MORTALITY; DEATHS; STRESS; HEALTH; CITY; WAVE
AB Extreme heat is the leading weather-related cause of mortality in the United States, but there is little evidence about how this climate hazard affects residents of different housing types. In this study, we examine whether Californians living in subsidized housing are more vulnerable to extreme heat than those living in unsubsidized housing. We create a tract-level data set combining housing characteristics, downscaled climate projections, and an index of adaptive capacity and sensitivity to heat. We analyze exposure and vulnerability to heat by housing type and location. We find that subsidized housing is disproportionately located in the hottest tracts that simultaneously also have the most sensitive populations and barriers to adaptation (high-high tracts). Whereas 8% of California's housing units are in high-high tracts, these tracts contain 16% of public housing units, 14% of Low-Income Housing Tax Credit units, and 10% of Section 8 Housing Choice Vouchers. Our findings indicate the need for targeted housing and land-use policy interventions to reduce heat vulnerability.
C1 [Gabbe, C. J.] Santa Clara Univ, Dept Environm Studies & Sci, Santa Clara, CA 95053 USA.
   [Pierce, Gregory] Univ Calif Los Angeles, Luskin Sch Publ Affairs, Luskin Ctr Innovat, Los Angeles, CA USA.
C3 Santa Clara University; University of California System; University of
   California Los Angeles
RP Gabbe, CJ (corresponding author), Santa Clara Univ, Dept Environm Studies & Sci, Santa Clara, CA 95053 USA.
EM cgabbe@scu.edu
FU California Strategic Growth Council; Climate Change Research Program
   Grant [CCRP0056]
FX This work was supported by the California Strategic Growth Council;
   Climate Change Research Program Grant [CCRP0056].
CR Anderson BG, 2009, EPIDEMIOLOGY, V20, P205, DOI 10.1097/EDE.0b013e318190ee08
   [Anonymous], 2018, Journal of Open Source Software, DOI DOI 10.21105/JOSS.00470
   Anselin L., 2019, GEODA VERSION 1 14 0
   Anselin L., 2019, Global spatial autocorrelation (2): Bivariate, differential and EB Moran scatter plot
   Anselin L., 2005, EXPLORING SPATIAL DA
   Armstrong BG, 2011, J EPIDEMIOL COMMUN H, V65, P340, DOI 10.1136/jech.2009.093161
   Bao JZ, 2015, INT J ENV RES PUB HE, V12, P7220, DOI 10.3390/ijerph120707220
   Bazuin JT, 2013, APPL GEOGR, V45, P292, DOI 10.1016/j.apgeog.2013.08.013
   Bivand RS, 2018, TEST-SPAIN, V27, P716, DOI 10.1007/s11749-018-0599-x
   Boehm TP, 2006, J HOUS ECON, V15, P126, DOI 10.1016/j.jhe.2006.08.001
   Boehm TP, 2008, CITYSCAPE, V10, P159
   Bornstein R.D., 1968, J APPL METEOR, V7, P575
   California Strategic Growth Council, 2019, AHSC ROUND 5 GUID
   Coulton C, 2012, CITYSCAPE, V14, P231
   Folch DC, 2016, DEMOGRAPHY, V53, P1535, DOI 10.1007/s13524-016-0499-1
   Fowler DR, 2013, MMWR-MORBID MORTAL W, V62, P433
   Geospatial Innovation Facility UC Berkeley, 2017, CAL AD API DOCS
   Goetz EG, 2010, HOUS POLICY DEBATE, V20, P209, DOI 10.1080/10511481003779876
   Hajat S, 2010, J EPIDEMIOL COMMUN H, V64, P753, DOI 10.1136/jech.2009.087999
   Hajat S, 2010, LANCET, V375, P856, DOI 10.1016/S0140-6736(09)61711-6
   Hatvani-Kovacs G, 2018, URBAN CLIM, V25, P51, DOI 10.1016/j.uclim.2018.05.001
   Intergovernmental Panel on Climate Change, 2018, Global warming of 1.5 C
   IPCC, 2014, AR5 SYNTH REP SUMM P
   Jolliffe L., 2002, Principal Component Analysis
   Kahle D., 2019, ggmap: Spatial visualization with ggplot2 (Version 3.0.0) Computer software
   Khan KS, 2018, HEALTH TECHNOL ASSES, V22, P1, DOI 10.3310/hta22020
   Klinenberg E., 2015, Heat Wave: A Social Autopsy of Disaster in Chicago
   Knowlton K, 2009, ENVIRON HEALTH PERSP, V117, P61, DOI 10.1289/ehp.11594
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Luber G, 2008, AM J PREV MED, V35, P429, DOI 10.1016/j.amepre.2008.08.021
   Medina-Ramón M, 2007, OCCUP ENVIRON MED, V64, P827, DOI 10.1136/oem.2007.033175
   Mitchell BC, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/115005
   Mitchell M, 2014, APPL PHYS LETT, V104, DOI 10.1063/1.4870999
   National Weather Service, 2018, Weather-Related Fatality and Injury Statistics
   Newman S., 2017, The Quality of America's Assisted Housing Stock: Analysis of the 2011 and 2013 American Housing Surveys
   Nieto B, 2018, EUR J INVEST HEALTH, V8, P5, DOI 10.30552/ejihpe.v8i1.221
   O'Neill MS, 2005, J URBAN HEALTH, V82, P191, DOI 10.1093/jurban/jti043
   O'Neill MS, 2003, ENVIRON HEALTH PERSP, V111, P1861, DOI 10.1289/ehp.6334
   PAHRC & NLIHC, 2018, NAT HOUS PRES DAT
   Pierce G, 2015, HOUS POLICY DEBATE, V25, P739, DOI 10.1080/10511482.2014.999815
   Reid CE, 2009, ENVIRON HEALTH PERSP, V117, P1730, DOI 10.1289/ehp.0900683
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Robinson PJ, 2001, J APPL METEOROL, V40, P762, DOI 10.1175/1520-0450(2001)040<0762:OTDOAH>2.0.CO;2
   Rosenthal JK, 2014, HEALTH PLACE, V30, P45, DOI 10.1016/j.healthplace.2014.07.014
   Schwartz A.F., 2010, Housing Policy in the United States, V2nd
   Semenza JC, 1996, NEW ENGL J MED, V335, P84, DOI 10.1056/NEJM199607113350203
   Smith TT, 2013, CLIMATIC CHANGE, V118, P811, DOI 10.1007/s10584-012-0659-2
   State of California, 2019, LOCA DOWNSC CLIM PRO
   State of California, 2019, EXTR HEAT DAYS WARM
   State of California, 2019, CAL BUILD RES CLIM E
   State of California, 2019, AFF HOUS SUST COMM P
   State of California, 2015, PERSP GUID CLIM CHAN
   U.S. Census Bureau, 2013, CENS TRACTS
   U.S. Department of Housing and Urban Development, 2018, UND WHOM LIHTC SERV
   U.S. Department of Housing and Urban Development, 2017, HUD PICT SUBS HOUS
   Uejio CK, 2011, HEALTH PLACE, V17, P498, DOI 10.1016/j.healthplace.2010.12.005
   United States Census Bureau, 2019, TIGER LIN SHAP
   United States Census Bureau, 2017, 2017 AM COMM SURV 5
   US EPA & CDC, 2016, 430R16061 US EPA CDC
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Vyas S, 2006, HEALTH POLICY PLANN, V21, P459, DOI 10.1093/heapol/czl029
   Wilson B, 2012, HOUS POLICY DEBATE, V22, P175, DOI 10.1080/10511482.2011.648204
   Wolf M, 2013, ROAD TO RECOVERY: HOW AND WHY ECONOMIC POLICY MUST CHANGE, P1
   Ye XF, 2012, ENVIRON HEALTH PERSP, V120, P19, DOI [10.1289/ehp.1003198, 10.1289/ehp.120-a19]
NR 64
TC 26
Z9 27
U1 3
U2 23
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1051-1482
EI 2152-050X
J9 HOUS POLICY DEBATE
JI Hous. Policy Debate
PD SEP 2
PY 2020
VL 30
IS 5
BP 843
EP 860
DI 10.1080/10511482.2020.1768574
EA JUL 2020
PG 18
WC Development Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Urban Studies
GA NN6GM
UT WOS:000551605200001
DA 2025-01-10
ER

PT J
AU Geldin, S
AF Geldin, Samuel
TI Advancing urban adaptation where it counts: reshaping unequal knowledge
   and resource diffusion in networked Indonesian cities
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE adaptive capacity; distributive climate justice; Indonesia; intermediary
   city; institutional duplication; monitoring and evaluation; network
   governance; transnational municipal network
ID CLIMATE-CHANGE; GOVERNANCE; RESILIENCE
AB Climate adaptation literature vocalizes the need for transnational municipal networks (TMNs) to expand activities in vulnerable medium-sized cities, but little work has examined the granular extent of city participation and processes constraining TMN growth. This study explores the effectiveness of TMNs in reaching adaptation outcomes and how financial, material, and knowledge exchanges of TMNs tend to exclude adaptation in high-priority intermediary cities. Nearly 40 semi-structured interviews with Indonesian city actors and a preliminary catalogue of cities participating in TMNs reveal that risk-averse selection criteria, insufficient impact assessments, and duplicative institutional efforts reinforce disparities between primary and intermediary cities. To effectively build adaptive capacity in the most vulnerable regions, TMNs should remove participation barriers for intermediary cities, improve incentives for institutional collaboration, and adopt more rigorous evaluative metrics. These results directly inform the governance, resource allocation, and operational goals of TMN stakeholders to advance distributive climate justice.
C1 [Geldin, Samuel] Univ Penn, Sch Design, 210 South 34th St, Philadelphia, PA 19104 USA.
C3 University of Pennsylvania
RP Geldin, S (corresponding author), Univ Penn, Sch Design, 210 South 34th St, Philadelphia, PA 19104 USA.
EM sgeldin@design.upenn.edu
FU Yale Tropical Resources Institute; Yale Center for Southeast Asia
   Studies; Yale Center for East Asia Studies
FX I would like to thank the Yale Tropical Resources Institute, the Yale
   Center for Southeast Asia Studies, and the Yale Center for East Asia
   Studies for supporting this research.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Alonso J M, 2013, OPEN GOVT DATA READI
   [Anonymous], CRITICAL THEORY PUBL
   [Anonymous], 2015, JAKARTA POST
   [Anonymous], LOC REG GOV PARTN GL
   Arup, 2015, City resilience framework
   Asian Development Bank, 2011, URB SAN RUR INFR SUP
   BAPPENAS, 2013, REP IND NAT ACT PLAN
   Barr J, 2011, MIDTERM EVALUATION R
   Bertot JC, 2010, GOV INFORM Q, V27, P264, DOI 10.1016/j.giq.2010.03.001
   Betsill MM, 2006, GLOBAL GOV, V12, P141, DOI 10.1163/19426720-01202004
   Birkmann J, 2016, NATURE, V537, P605, DOI 10.1038/537605a
   Blunt P, 2012, PUBLIC ADMIN DEVELOP, V32, P64, DOI 10.1002/pad.617
   Bongers P N, 2003, PARTNERSHIP LOCAL CA
   Boonyabancha S, 2015, ENVIRON URBAN, V27, P637, DOI 10.1177/0956247815600945
   Bulkeley H, 2013, GLOBAL ENVIRON CHANG, V23, P914, DOI 10.1016/j.gloenvcha.2013.05.010
   Bulkeley H, 2012, ENVIRON PLANN C, V30, P591, DOI 10.1068/c11126
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   C40 Cities, 2015, CLIM ACT MEG 3 0
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   DELGOSEA, 2011, LOC GOV PHIL
   Dobbin F, 2007, ANNU REV SOCIOL, V33, P449, DOI 10.1146/annurev.soc.33.090106.142507
   ENSOR J, 2015, WILEY INTERDISCIPLIN, V6, P5, DOI DOI 10.1186/2046-4053-4-12
   Ferguson J., 1994, Ecologist, V24, P176
   Feruglio F, 2017, PARTICIPATORY BUDGET
   Garschagen M, 2015, CLIMATIC CHANGE, V133, P37, DOI 10.1007/s10584-013-0812-6
   Hammill A., 2013, Understanding Needs, Meeting Demands: User-oriented analysis of online knowledge broker platforms for climate change and development
   Hargrove Robert., 2008, MASTERFUL COACHING, V3
   Herrera Amul G., 2015, CITIES CLIMATE DIPLO
   Hooghe L, 2003, AM POLIT SCI REV, V97, P233
   Hult A, 2015, ENVIRON PLANN A, V47, P537, DOI 10.1068/a130320p
   Idrus A, 2014, JAKARTA POST
   IGES, 2015, ASEAN ESC MOD CIT PR
   IGES, 2012, ENVEVN10006REG IGES
   Keiner M, 2007, EUR PLAN STUD, V15, P1369, DOI 10.1080/09654310701550843
   Lassa JA, 2015, ENVIRON URBAN, V27, P161, DOI 10.1177/0956247814552233
   Leach M., 2010, DYNAMIC SUSTAINABILI
   Lebel L, 2010, INT ENVIRON AGREEM-P, V10, P333, DOI 10.1007/s10784-010-9142-6
   Lee Taedong., 2014, Global Cities and Climate Change: The Translocal Relations of Environmental Governance
   Lefebvre H., 1991, The production of space
   Levin K, 2012, POLICY SCI, V45, P123, DOI 10.1007/s11077-012-9151-0
   Lewis B.D., 2014, Regional Dynamics in a Decentralized Indonesia
   Li TM., 2007, THE WILL TO IMPROVE
   Maeda T, 2011, INDONESIA MODEL CITY
   Maurel P, 2007, ENVIRON MODELL SOFTW, V22, P630, DOI 10.1016/j.envsoft.2005.12.016
   McCann E J, 2010, ANN ASSOC AM GEOGR, V100, P1
   Mcfarlane C, 2010, INT J URBAN REGIONAL, V34, P725, DOI 10.1111/j.1468-2427.2010.00917.x
   Miliband D, 2015, FOREIGN AFFAIRS
   Miller MA, 2013, INT J URBAN REGIONAL, V37, P834, DOI 10.1111/j.1468-2427.2013.01209.x
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   OBERMAN R., 2012, The Archipelago Economy: Unleashing Indonesia's Potential
   Ostrom E, 2012, ECON THEOR, V49, P353, DOI 10.1007/s00199-010-0558-6
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Paterson SK, 2017, GEOFORUM, V81, P109, DOI 10.1016/j.geoforum.2017.02.014
   Payre R, 2008, ANOTHER GLOBAL CITY: HISTORICAL EXPLORATIONS INTO THE TRANSNATIONAL MUNICIPAL MOMENT, 1850-2000, P69
   Peck J, 2010, GEOFORUM, V41, P169, DOI 10.1016/j.geoforum.2010.01.002
   Phelps NA, 2014, CITIES, V39, P37, DOI 10.1016/j.cities.2014.02.004
   Prihtiyani E, 2010, KOMPAS
   Ramdhani F, 2010, INSPIRASI DARI TIMUR
   Robison R, 2007, INDONESIA BETRAYED D, P116
   Rodela R, 2011, ECOL SOC, V16, DOI 10.5751/ES-04554-160430
   Rodgers DanielT., 1998, Atlantic Crossings: Social Politics in a Progressive Age
   Roy A, 2011, STUD URBAN SOC CH, P1, DOI 10.1002/9781444346800
   Satterthwaite D, 2001, ENVIRON URBAN, V13, P137, DOI 10.1177/095624780101300111
   Schulze G.G., 2014, Regional Dynamics in a Decentralized Indonesia
   Shah A., 2012, 6075 WORLD BANK
   Sharratt M., 2003, Electronic Journal of Knowledge Management, V1, P187
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Short JR, 2004, PROF GEOGR, V56, P295
   Siagian TH, 2014, NAT HAZARDS, V70, P1603, DOI 10.1007/s11069-013-0888-3
   Soja EW, 2010, GLOB COMMUNITY SER, P1
   Stratton-Short S, 2014, UNDERSTANDING NETWOR
   Tahir A, 2011, J ENV INFORM SCI, V40, P79
   Taschereau S, 2007, 58C EUR CTR DEV POL
   Taylor PJ, 2005, POLIT GEOGR, V24, P703, DOI 10.1016/j.polgeo.2005.01.009
   Teodorczuk T, 2016, CITIES TODAY     FEB, P22
   UN Habitat and UNESCAP, 2015, STAT AS PAC CIT 2015
   Wijayanti DR, 2015, PROCD SOC BEHV, V184, P171, DOI 10.1016/j.sbspro.2015.05.077
NR 80
TC 6
Z9 6
U1 2
U2 13
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 APR
PY 2019
VL 31
IS 1
BP 13
EP 32
DI 10.1177/0956247818776532
PG 20
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA HU1DK
UT WOS:000465012100002
DA 2025-01-10
ER

PT J
AU He, ZQ
   Wang, XY
   Liu, YQ
   Li, K
AF He, Zhuqing
   Wang, Xiaoyin
   Liu, Yuqing
   Li, Kai
TI Seasonal and geographical adaption of two field crickets in China (
   Orthoptera: Grylloidea: Gryllidae: Gryllinae: <i>Teleogryllus</i>)
SO ZOOTAXA
LA English
DT Article
DE Orthoptera; Grylloidea; Gryllidae; Teleogryllus; China; life cycle;
   photoperiod; distribution; adaptation
ID CLIMATIC ADAPTATION; MATING SUCCESS; SIZE
AB Crickets of the genus Teleogryllus belong to Gryllidae, Orthoptera. Teleogryllus emma (Ohmachi and Matsumura) and T. occipitalis (Serville) are widely distributed in east Asia, but their distribution and life history have not been reported from China. We studied the seasonal and geographical adaptation by rearing these crickets and measuring specimens. The main results are as follows: T. emma belongs to short-day type, which means nymphs grow rapidly in short day conditions (LD 12: 12); T. occipitalis belongs to long-day type, which means nymphs grow rapidly in long day conditions (LD 16: 8). The nymphal growth rate accelerates with the increase of temperature by comparing their nymph developmental period at 25 and 30 degrees C. T. emma is mainly distributed in the north of the Yangtze River, while T. occipitalis in the south of it. The body size decreases with the increase of latitude in both species, while the relative length of their ovipositor increases.
C1 [He, Zhuqing; Wang, Xiaoyin; Liu, Yuqing; Li, Kai] East China Normal Univ, Sch Life Sci, Shanghai 200241, Peoples R China.
C3 East China Normal University
RP He, ZQ (corresponding author), East China Normal Univ, Sch Life Sci, Shanghai 200241, Peoples R China.
EM zqhe@bio.ecnu.edu.cn
RI wang, xiaoyu/HJP-6901-2023; Li, Yang/HPC-4054-2023
FU Shanghai Sailing Program [16YF1403100]
FX This research is especially dedicated to Prof. Sinzo Masaki. This study
   is sponsored by Shanghai Sailing Program (grant No. 16YF1403100).
CR BENTLEY DR, 1972, ANIM BEHAV, V20, P478, DOI 10.1016/S0003-3472(72)80012-5
   Blanckenhorn WU, 2004, FUNCT ECOL, V18, P414, DOI 10.1111/j.0269-8463.2004.00864.x
   He ZQ, 2014, CAN ENTOMOL, V146, P590, DOI 10.4039/tce.2014.10
   Li X.Q., 2011, J BEIHUA U NATURAL S, V12, P37
   LOHER W, 1978, Z TIERPSYCHOL, V46, P225
   Ma L. B., 2015, J SHAANXI NORMAL U, V3, P57
   Masaki S., 1966, Kontyu, V34, P277
   Masaki S., 1967, Kontyu, V35, P83
   MASAKI S, 1979, Kontyu, V47, P493
   Masaki S, 2002, EUR J ENTOMOL, V99, P143, DOI 10.14411/eje.2002.022
   Masaki S, 1996, EUR J ENTOMOL, V93, P281
   Masaki S., 1987, P347
   MASAKI S, 1979, OECOLOGIA, V43, P207, DOI 10.1007/BF00344771
   MASAKI S, 1967, EVOLUTION, V21, P725, DOI 10.1111/j.1558-5646.1967.tb03430.x
   Masaki S., 1965, Bulletin of Faculty of Agriculture, Hirosaki University, V11, P59
   Mousseau TA, 1997, EVOLUTION, V51, P630, DOI [10.1111/j.1558-5646.1997.tb02453.x, 10.2307/2411138]
   Ohmachi F., 1951, Bull Fac Agric Mie Univ, Vno. 2, P63
   POLLACK GS, 1986, J COMP PHYSIOL A, V158, P549, DOI 10.1007/BF00603799
   Shackleton MA, 2005, BEHAV ECOL SOCIOBIOL, V58, P1, DOI 10.1007/s00265-004-0907-1
   Shimizu Toru, 1997, Japanese Journal of Entomology, V65, P335
   Tanaka S., 1978, JAP J ENTOMOL, V46, P135
   Tanaka Seiji, 1999, Entomological Science, V2, P173
   Walker T.J., 1987, EVOL BIOL, P349
   Walker T. J., 1989, NAT HIST, P1
   Wu Hongjun, 2014, Acta Ecologica Sinica, V34, P2963
NR 25
TC 8
Z9 8
U1 1
U2 10
PU MAGNOLIA PRESS
PI AUCKLAND
PA PO BOX 41383, AUCKLAND, ST LUKES 1030, NEW ZEALAND
SN 1175-5326
EI 1175-5334
J9 ZOOTAXA
JI Zootaxa
PD OCT 25
PY 2017
VL 4338
IS 2
BP 374
EP 384
DI 10.11646/zootaxa.4338.2.11
PG 11
WC Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Zoology
GA FK4ZQ
UT WOS:000413507200011
PM 29245748
DA 2025-01-10
ER

PT J
AU Gilligan, I
   Bulbeck, D
AF Gilligan, Ian
   Bulbeck, David
TI Environment and morphology in Australian Aborigines: A re-analysis of
   the Birdsell database
SO AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
LA English
DT Article
DE climatic adaptation; Bergmann's rule; human variation
ID HUMAN-BODY SIZE; RULE
AB dPursuant to his major research interest in the cultural ecology of hunter-gatherers, Birdsell collected an unparalleled body of phenotypic data on Aboriginal Australians during the mid twentieth century. Birdsell did not explicitly relate the geographic patterning in his data to Australia's climatic variation, instead arguing that the observable differences between groups reflect multiple origins of Australian Aborigines. In this article, bivariate correlation and multivariate analyses demonstrate statistically significant associations between climatic variables and the body build of Australians that are consistent with the theoretical expectations of Bergmann's and Allen's rules. While Australian Aborigines in comparison to Eurasian and New World populations can be generally described as long-headed, linear in build, and characterized by elongated distal limbs, the variation in this morphological pattern across the continent evidently reflects biological adaptation to local Holocene climates. These results add to a growing body of evidence for the role of environmental selection in the development of modern human variation.
C1 Australian Natl Univ, Sch Archaeol & Anthropol, Canberra, ACT 0200, Australia.
C3 Australian National University
RP Gilligan, I (corresponding author), Australian Natl Univ, Sch Archaeol & Anthropol, Canberra, ACT 0200, Australia.
EM ian.g@bigpond.net.au
RI Gilligan, Ian/AFK-7800-2022
OI Gilligan, Ian/0000-0003-2339-6573
CR Abbie A.A., 1975, STUDIES PHYS ANTHR, V2
   Abbie AA., 1976, The Origin of the Australians, P211
   [Anonymous], 2024, Dental Anthropology
   [Anonymous], ARCH PHYS ANTHR OCEA
   [Anonymous], 1877, Radical Review
   Ashton KG, 2000, AM NAT, V156, P390, DOI 10.1086/303400
   Bergmann KGLC., 1847, Gttinger Studien, V3, P595
   BIRDSELL JB, 1953, AM NAT, V87, P171, DOI 10.1086/281776
   Birdsell JB., 1993, Microevolutionary Patterns in Aboriginal Australia: A Gradient Analysis of Clines
   BROWN P, 1987, Archaeology in Oceania, V22, P41
   *BUR MET COMM AUST, 2006, CLIM AV MAP
   CAREY JW, 1981, AM J PHYS ANTHROPOL, V56, P313, DOI 10.1002/ajpa.1330560312
   Cavalli-Sforza L.L., 1986, African Pygmies, P361
   Clendon M, 2006, CURR ANTHROPOL, V47, P39, DOI 10.1086/497671
   GEIST V, 1987, CAN J ZOOL, V65, P1035, DOI 10.1139/z87-164
   Gloger CL., 1833, ABANDERN VOGEL DURCH
   HABGOOD P J, 1986, Archaeology in Oceania, V21, P130
   HARRISON GA, 1975, HUMAN VARIATION NATU, P179
   HIERNAUX J, 1975, ANN HUM BIOL, V2, P3, DOI 10.1080/03014467500000511
   HOLLIDAY TW, 1995, J HUM EVOL, V29, P141, DOI 10.1006/jhev.1995.1050
   HOUGHTON P, 1990, ANN HUM BIOL, V17, P19, DOI 10.1080/03014469000000752
   Jablonski NG, 2000, J HUM EVOL, V39, P57, DOI 10.1006/jhev.2000.0403
   Jurmain R., 1994, INTRO PHYS ANTHR
   Katzmarzyk PT, 1998, AM J PHYS ANTHROPOL, V106, P483, DOI 10.1002/(SICI)1096-8644(199808)106:4<483::AID-AJPA4>3.3.CO;2-K
   Keen Ian., 2004, ABORIGINAL EC SOC AU
   Lahr MM, 1996, J HUM EVOL, V31, P157, DOI 10.1006/jhev.1996.0056
   Lattin J.M., 2003, Analyzing multivariate data
   MACHO G, 1987, REANALYSIS A A ABBIE
   MAYR E, 1956, EVOLUTION, V10, P105, DOI 10.1111/j.1558-5646.1956.tb02836.x
   Meiri S, 2003, J BIOGEOGR, V30, P331, DOI 10.1046/j.1365-2699.2003.00837.x
   O'Connell JF, 2004, J ARCHAEOL SCI, V31, P835, DOI 10.1016/j.jas.2003.11.005
   OdlingSmee FJ, 1996, AM NAT, V147, P641, DOI 10.1086/285870
   PARDOE C, 1994, CURR ANTHROPOL, V35, P1
   PARDOE C, 2006, FARMING, V1
   Peterson N., 1986, OCEANIA MONOGRAPH, V30
   Peterson Nicolas., 1976, Tribes and Boundaries in Australia, P50
   Pietrusewsky M., 1984, Metric and non-metric cranial variation in Australian aboriginal populations compared with populations from the Pacific and Asia
   Roberts D.F., 1978, CLIMATE HUMAN VARIAB, VSecond
   Roth H.L., 1899, The Aborigines of Tasmania, VSecond
   Ruff C, 2002, ANNU REV ANTHROPOL, V31, P211, DOI 10.1146/annurev.anthro.31.040402.085407
   Ruff Christopher B., 1994, Yearbook of Physical Anthropology, V37, P65
   SCHREIDER E, 1975, J HUM EVOL, V4, P529, DOI 10.1016/0047-2484(75)90153-0
   Scott GR., 1997, ANTHR MODERN HUMAN T
   *SPSS, 2001, SPSS GRAD PACK 11 0
   Steadman R. G., 1994, Australian Meteorological Magazine, V43, P1
   STEADMAN RG, 1984, J CLIM APPL METEOROL, V23, P1674, DOI 10.1175/1520-0450(1984)023<1674:AUSOAT>2.0.CO;2
   Stevens J., 1992, Applied Multivariate Statistics for the Social Sciences, VSecond
   STRAUSS DJ, 1975, CURR ANTHROPOL, V16, P573, DOI 10.1086/201620
   Tabachnick B., 2013, Using multivariate statistics, V6th
   THORNE AG, 1971, ABORIGINAL MAN ENV A, P316
   Tindale NB, 1974, ABORIGINAL TRIBES AU
   Tindale NormanB., 1941, Records of the South Australian Museum, V7, P1
   Trinkaus Erik., 1981, ASPECTS HUMAN EVOLUT, P187
   WOLPOFF MH, 1968, AM J PHYS ANTHROPOL, V29, P405, DOI 10.1002/ajpa.1330290315
   WRIGHT RVS, 1976, ORIGIN AUSTR, P265
NR 55
TC 22
Z9 22
U1 0
U2 7
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 SEP
PY 2007
VL 134
IS 1
BP 75
EP 91
DI 10.1002/ajpa.20640
PG 17
WC Anthropology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Anthropology; Evolutionary Biology
GA 200CV
UT WOS:000248742400007
PM 17568440
DA 2025-01-10
ER

PT J
AU Zhang, B
   Wang, S
   Zscheischler, J
   Moradkhani, H
AF Zhang, Boen
   Wang, Shuo
   Zscheischler, Jakob
   Moradkhani, Hamid
TI Higher Exposure of Poorer People to Emerging Weather Whiplash in a
   Warmer World
SO GEOPHYSICAL RESEARCH LETTERS
LA English
DT Article
DE drought; pluvial; poverty
ID CLIMATE-CHANGE; DROUGHT; POVERTY; RISK; FLOODS; INEQUALITY
AB The emergence of abrupt shift from drought to downpour has attracted widespread attention in recent years, with particularly disastrous consequences in low-income regions. However, the spatiotemporal evolution and poverty exposure to such drought-to-downpour events remain poorly understood. Here, we investigate the connection between poverty and drought-to-downpour events based on three data products and climate models on a global scale. We find that the drought-to-downpour events increased by 24%-48% in the poorest 20% of the world's population from 1980 to 2010. The drought-to-downpour events do not appear to be occurring more frequently in most regions globally, just affecting regions with higher poverty rates more frequently, especially in African countries. The exposure inequality remains under future socioeconomic pathways, with a nearly fivefold increase in the exposure for the poorer populations. Poverty exposure to more frequent drought-to-downpour events demands greater support for climate adaptation in low-income countries to reduce poverty and inequality.
   Many regions have suffered greatly from recent occurrences of abrupt shift from drought to downpour, suggesting that the emerging threat is a global challenge. Such drought-to-downpour events pose challenges to water infrastructures in developed countries, let alone those poor countries with limited adaptation capacity and resources. However, the connection between the drought-to-downpour events and poverty incidence remains poorly understood. Here, we show that such drought-to-downpour events experienced by the poorest 20% of the world's population increased significantly by 24%-48% from 1980 to 2010. Such a significant increase, however, is not observed for the remaining wealthiest 80%. The drought-to-downpour events do not appear to be occurring more frequently in most global regions, just affecting regions with higher poverty rates more frequently, especially in African countries. Climate projections show that such inequality would remain in a warming climate. Our results highlight the urgency to provide greater support for climate adaptation in low-income countries to reduce poverty and inequality.
   The connection between poverty incidence and drought-to-downpour weather whiplashes is uncovered on a global scaleThe drought-to-downpour events increased by 24%-48% in the poorest 20% of the world's population from 1980 to 2010The drought-to-downpour events do not appear to be occurring more frequently in most global regions, just affecting regions with higher poverty rates more frequently
C1 [Zhang, Boen; Wang, Shuo] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China.
   [Wang, Shuo] Hong Kong Polytech Univ, Res Inst Land & Space, Hong Kong, Peoples R China.
   [Zscheischler, Jakob] UFZ Helmholtz Ctr Environm Res, Dept Computat Hydrosyst, Leipzig, Germany.
   [Moradkhani, Hamid] Univ Alabama, Dept Civil Construct & Environm Engn, Tuscaloosa, AL USA.
   [Moradkhani, Hamid] Univ Alabama, Ctr Complex Hydrosyst Res, Tuscaloosa, AL USA.
C3 Hong Kong Polytechnic University; Hong Kong Polytechnic University;
   Helmholtz Association; Helmholtz Center for Environmental Research
   (UFZ); University of Alabama System; University of Alabama Tuscaloosa;
   University of Alabama System; University of Alabama Tuscaloosa
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, Res Inst Land & Space, Hong Kong, Peoples R China.
EM shuo.s.wang@polyu.edu.hk
RI Zscheischler, Jakob/ABE-7324-2021; Moradkhani, Hamid/B-1571-2012; Wang,
   Shuo/I-3017-2013; Zscheischler, Jakob/AFT-1082-2022
OI Moradkhani, Hamid/0000-0002-2889-999X; Wang, Shuo/0000-0001-7827-187X;
   Zscheischler, Jakob/0000-0001-6045-1629
FU This research was supported by the Hong Kong Research Grants Council
   Early Career Scheme (Grant 25222319) and the Hong Kong Polytechnic
   University (Grant P0045957, P0043040). J.Z. acknowledges the Helmholtz
   Initiative and Networking Fund (Young Investigato [25222319]; Hong Kong
   Research Grants Council Early Career Scheme [P0045957, P0043040]; Hong
   Kong Polytechnic University [VH-NG-1537]; Helmholtz Initiative and
   Networking Fund
FX This research was supported by the Hong Kong Research Grants Council
   Early Career Scheme (Grant 25222319) and the Hong Kong Polytechnic
   University (Grant P0045957, P0043040). J.Z. acknowledges the Helmholtz
   Initiative and Networking Fund (Young Investigator Group COMPOUNDX;
   grant agreement no. VH-NG-1537).
CR Ahmadalipour A, 2019, CLIMATIC CHANGE, V152, P569, DOI 10.1007/s10584-018-2348-2
   Ahmadalipour A, 2019, SCI TOTAL ENVIRON, V662, P672, DOI 10.1016/j.scitotenv.2019.01.278
   Alizadeh MR, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002488
   Baez Javier E., 2020, Economics of Disasters and Climate Change, V4, P103, DOI 10.1007/s41885-019-00049-9
   Batibeniz F, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001421
   Brida AB, 2013, INT J GLOBAL WARM, V5, P514, DOI 10.1504/IJGW.2013.057291
   Callahan CW, 2022, SCI ADV, V8, DOI 10.1126/sciadv.add3726
   Chaves L., 2021, From flood to drought, Brazil's Acre state swings between weather extremes
   Chen HJ, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL099766
   Codjoe SNA, 2020, FRONT CLIM, V2, DOI 10.3389/fclim.2020.592658
   Collenteur RA, 2015, NAT HAZARDS, V76, P373, DOI 10.1007/s11069-014-1496-6
   Contractor S., 2019, NCI Data Catalog, DOI [10.25914/5ca4c380b0d44, DOI 10.25914/5CA4C380B0D44]
   Department of Civil and Environmental Engineering Princeton University, 2006, CISL RDA, DOI 10.5065/JV89-AH11
   Deser C, 2020, NAT CLIM CHANGE, V10, P277, DOI 10.1038/s41558-020-0731-2
   Diffenbaugh NS, 2019, P NATL ACAD SCI USA, V116, P9808, DOI 10.1073/pnas.1816020116
   Eckstein D., 2021, GLOBAL CLIMATE RISK
   Eyring V., 2016, The coupled model intercomparison project phase 6 (CMIP6)
   Gao J, 2020, NASA SEDAC, DOI 10.7927/q7z9-9r69
   Gazzotti P, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23613-y
   Geirinhas JL, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abe0eb
   Green D, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/091002
   Hallegatte S, 2018, ENVIRON DEV ECON, V23, P217, DOI 10.1017/S1355770X18000141
   Hallegatte S, 2017, NAT CLIM CHANGE, V7, P250, DOI 10.1038/NCLIMATE3253
   Hallsén S, 2021, ECNU REV EDUC, V4, P476, DOI [10.1177/2096531120952096, 10.1007/s41885-020-00060-5]
   Harris I.C., 2020, CRU TS4.04: Climatic Research Unit (CRU) TimeSeries (TS) Version 4.04 of HighResolution Gridded Data of MonthByMonth Variation in Climate (Jan. 1901Dec. 2019).
   He XG, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087924
   Hersbach H., ERA5 HOURLY DATA SIN, DOI [10.24381/cds.adbb2d47, 10.24381/cds. adbb2d47, 10.24381]
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hubacek K, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00919-4
   Kay J.E., 2015, The Community Earth System (CESM) Large Ensemble Project. A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability
   Kendall M. G., 1948, Rank correlation methods.
   King AD, 2018, GEOPHYS RES LETT, V45, P5030, DOI 10.1029/2018GL078430
   Kummu Matti, 2019, Dryad, DOI 10.5061/DRYAD.DK1J0
   Li FN, 2020, J CLIMATE, V33, P8339, DOI 10.1175/JCLI-D-19-0986.1
   Markkanen S, 2019, CLIM POLICY, V19, P827, DOI 10.1080/14693062.2019.1596873
   Masood E, 2022, NATURE, V612, P16, DOI 10.1038/d41586-022-03807-0
   Migiro K., 2013, With 62 dead, Kenya must end drought-flood cycle-Red Cross
   Mohanty MP, 2021, SCI TOTAL ENVIRON, V759, DOI 10.1016/j.scitotenv.2020.143559
   Mukherjee S, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-022-35748-7
   Murakami D, 2021, FRONT BUILT ENVIRON, V7, DOI 10.3389/fbuil.2021.760306
   Parry S, 2013, WEATHER, V68, P268, DOI 10.1002/wea.2152
   Qing YM, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-00922-2
   Rao ND, 2017, NAT CLIM CHANGE, V7, P857, DOI 10.1038/s41558-017-0004-x
   ReliefWeb, 2010, Drought followed by floods in central Africa
   Rentschler J, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30727-4
   Roxy MK, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00744-9
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Simon D, 2015, CURR OPIN ENV SUST, V13, P109, DOI 10.1016/j.cosust.2015.03.003
   Son R, 2020, CLIM DYNAM, V54, P935, DOI 10.1007/s00382-019-05038-y
   Swain DL, 2018, NAT CLIM CHANGE, V8, P427, DOI 10.1038/s41558-018-0140-y
   Tatem AJ, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.4
   Taylor K. E., 2012, The coupled model intercomparison project phase 5 (CMIP5)
   Varga AJ, 2022, CLIM DYNAM, V58, P1569, DOI 10.1007/s00382-021-05979-3
   Wang B, 2020, J CLIMATE, V33, P6471, DOI 10.1175/JCLI-D-19-0993.1
   Wang SYS, 2017, NAT CLIM CHANGE, V7, P465, DOI 10.1038/nclimate3330
   Wing OEJ, 2022, NAT CLIM CHANGE, V12, P156, DOI 10.1038/s41558-021-01265-6
   Winsemius HC, 2018, ENVIRON DEV ECON, V23, P328, DOI 10.1017/S1355770X17000444
   World Bank, 2021, World Bank estimates based on data from the global subnational atlas of poverty (Global Mon)
   WorldPop, 2020, WorldPop open population repository
   Yang YT, 2019, NAT CLIM CHANGE, V9, P44, DOI 10.1038/s41558-018-0361-0
   You JW, 2023, GEOPHYS RES LETT, V50, DOI 10.1029/2023GL104075
   Zhang B., 2023, Zenodo, DOI [10.5281/zenodo.7750974, DOI 10.5281/ZENODO.7750974]
   Zhang WX, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abf8021
   Zscheischler J, 2020, NAT REV EARTH ENV, V1, P333, DOI 10.1038/s43017-020-0060-z
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 65
TC 7
Z9 7
U1 11
U2 34
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0094-8276
EI 1944-8007
J9 GEOPHYS RES LETT
JI Geophys. Res. Lett.
PD NOV 16
PY 2023
VL 50
IS 21
AR e2023GL105640
DI 10.1029/2023GL105640
PG 11
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology
GA U9UB7
UT WOS:001088173900001
OA gold
DA 2025-01-10
ER

PT J
AU Santiago, CM
   Diaz, PR
   Morales-Salinas, L
   Betancourt, LP
   Fernandez, LO
AF Marchant Santiago, Carla
   Rodriguez Diaz, Paulina
   Morales-Salinas, Luis
   Paz Betancourt, Liliana
   Ortega Fernandez, Luis
TI Practices and Strategies for Adaptation to Climate Variability in Family
   Farming. An Analysis of Cases of Rural Communities in the Andes
   Mountains of Colombia and Chile
SO AGRICULTURE-BASEL
LA English
DT Article
DE adaptive strategies and practices; Andes; climate variability;
   livelihoods; rainfall and water uncertainty
ID LAND; SURFACES; IMPACT
AB Climate variability imposes greater challenges on family farming and especially on rural communities in vulnerable mountainous regions such as the Andes in Latin America. Changes in rainfall patterns and fluctuations in temperatures cause a greater frequency of extreme events, increased pests, and crop diseases, which even lead to food insecurity in communities that depend on self-production for survival. This is why strategies need to be developed to face this new scenario. Two cases of adaptation experiences to the effects of climate variability in rural communities in Chile (Araucania Region) and Colombia (Cauca Department) were analyzed on this paper. For this, a mixed methodological approach was adopted that included the analysis of climate data, socioeconomic, and productive characterization of the communities, and a characterization of adaptation practices for both cases. The results show various ways of adapting mainly to changes in the availability and access of water for the development of agriculture and for domestic use. Likewise, it is shown that in order to be successful, the measures for facing climate variability must be part of coordinated strategies under a community-based adaptation approach and not developed in isolation.
C1 [Marchant Santiago, Carla] Univ Austral Chile, Inst Environm & Evolutionary Sci, Lab Territorial Studies LabT UACh, Valdivia 5090000, Chile.
   [Rodriguez Diaz, Paulina] Pontificia Univ Catolica Chile, Inst Geog, Santiago 8320000, Chile.
   [Morales-Salinas, Luis] Univ Chile, Fac Agr Sci, Dept Environm Sci & Renewable Nat Resources, Lab Res Environm Sci LARES, Santiago 8320000, Chile.
   [Paz Betancourt, Liliana] Exact & Nat Sci Univ Cauca, Ecohabitats Fdn, Fac Educ, Popayan 190001, Colombia.
   [Ortega Fernandez, Luis] Ecohabitats Fdn, Popayan 190001, Colombia.
C3 Universidad Austral de Chile; Pontificia Universidad Catolica de Chile;
   Universidad de Chile
RP Santiago, CM (corresponding author), Univ Austral Chile, Inst Environm & Evolutionary Sci, Lab Territorial Studies LabT UACh, Valdivia 5090000, Chile.
EM carla.marchant@uach.cl; parodriguez6@uc.cl; lmorales@uchile.cl;
   lilianapazb@fundacionecohabitats.org; lortega@fundacionecohabitats.org
RI Marchant Santiago, Carla/LSJ-1558-2024
OI Rodriguez-Diaz, Paulina/0000-0002-3059-1951; marchant santiago,
   carla/0000-0002-4040-8372
FU Vice-rectory for Research, Development and Artistic Creation Austral
   University of Chile [S-2020-04]
FX FundingThis work was partly supported by the Vice-rectory for Research,
   Development and Artistic Creation Austral University of Chile [grant
   number S-2020-04].
CR Abid M, 2019, ENVIRON MANAGE, V63, P110, DOI 10.1007/s00267-018-1113-7
   Acevedo-Osorio Álvaro, 2017, Luna Azul, P06, DOI 10.17151/luaz.2017.44.2
   Agrawal A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P350
   Alvarez-Garreton C, 2021, HYDROL EARTH SYST SC, V25, P429, DOI 10.5194/hess-25-429-2021
   Aniah P, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e01492
   [Anonymous], 2009, FOOD SECURITY AGR MI
   [Anonymous], 2013, ESCENARIOS CAMBIO AM
   [Anonymous], 2010, CLIM SMART AGR POL P
   [Anonymous], 2011, CLIMATE CHANGE BIODI
   Anton J., 2012, OECD Food, Agriculture and Fisheries Papers, DOI DOI 10.1787/5K94D6FX5BD8-EN
   BUDDS Jessica., 2003, Revista de Derecho Administrativo Economico, VV, P371
   Cai XM, 2009, J APPL METEOROL CLIM, V48, P1868, DOI 10.1175/2009JAMC1880.1
   Campos M., 2013, Boletin La Asoc Geografos Espanoles, V61, P329
   Carrasco J., 2011, IMPACTOS CAMBIO CLIM
   CDKN, 2013, MET AN VULN CUENC AL
   Christie DA, 2011, CLIM DYNAM, V36, P1505, DOI 10.1007/s00382-009-0723-4
   CONDESAN, 2011, 20 YEARS SUST MOUNT
   Córdova R, 2018, LAND-BASEL, V7, DOI 10.3390/land7020045
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Devereux T., 2013, MANUAL MEDIDAS ADAPT
   Díaz D, 2010, CHIL J AGR RES, V70, P604
   Eitzinger J, 2010, LANDLICHER RAUM, V3, P1
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Acuña NRF, 2016, CUAD DESARRO RURAL, V13, P35, DOI [10.11144/Javeriana.cdr13-78.cpas, 10.11144/Javeriana.cdri3-78.cpas]
   Garreaud RD, 2017, HYDROL EARTH SYST SC, V21, P6307, DOI 10.5194/hess-21-6307-2017
   Gibson CB, 2017, ORGAN RES METHODS, V20, P193, DOI 10.1177/1094428116639133
   González-Reyes A, 2013, BOSQUE, V34, P191, DOI 10.4067/S0717-92002013000200008
   Hatfield SC, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0136-6
   Herrador-Valencia D, 2016, J LAT AM GEOGR, V15, P101, DOI 10.1353/lag.2016.0021
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hunziker S, 2018, CLIM PAST, V14, DOI 10.5194/cp-14-1-2018
   IPCC, 2014, CAMBIO CLIMATICO 201, P127
   Johnson KM, 2019, RURAL SOCIOL, V84, P3, DOI 10.1111/ruso.12266
   Kendall M.G., 1963, The advanced theory of statistics, DOI [10.2307/2986781, DOI 10.2307/2986781]
   Kohler T., 2014, AGR MONTANA AGR FAMI, P10
   Landini F, 2016, ANDAMIOS, V13, P211, DOI 10.29092/uacm.v13i30.9
   LARA A, 2005, ADV GLOB CHANGE RES, V23, P145
   Li YH, 2019, J RURAL STUD, V68, P135, DOI 10.1016/j.jrurstud.2019.03.003
   Maletta H., 2011, 1 RIM
   Marchant C., 2020, PIRINEOS, V175, P060, DOI [10.3989/pirineos.2020.175010, DOI 10.3989/PIRINEOS.2020.175010]
   Martinez Baron D., 2016, THESIS PONTIFICIA U
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Montalba R, 2015, PAPERS, V100, P607, DOI 10.5565/rev/papers.2168
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Navarro-Racines C, 2020, SCI DATA, V7, DOI 10.1038/s41597-019-0343-8
   Parker C., 2019, Snowball sampling, DOI DOI 10.4135/9781526421036831710
   Paz L.A., 2014, ESTUDIO LINEA BASE C
   Pereira Lindoso D., 2012, Beyond conversion and syncretism: Indigenous encounters with missionary christianity, 18002000, P1
   Pohlert T., 2018, **DATA OBJECT**
   PUERTAS OROZCO OLGA L., 2011, Dyna rev.fac.nac.minas, V78, P112
   R Core Team, 2020, A language and environment for statistical computing, DOI 10.1038/s41598-021-86749-3
   Rodrigo FS, 2007, INT J CLIMATOL, V27, P513, DOI 10.1002/joc.1409
   Rodríguez-Soler R, 2020, LAND USE POLICY, V97, DOI 10.1016/j.landusepol.2020.104787
   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
   Singh RK, 2020, ENVIRON MANAGE, V66, P826, DOI 10.1007/s00267-020-01345-x
   Stocker, 2014, CLIMATE CHANGE 2013
   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
   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]
   Torres RR, 2022, INT J CLIMATOL, V42, P1597, DOI 10.1002/joc.7322
   Vermeulen SJ, 2012, ANNU REV ENV RESOUR, V37, P195, DOI 10.1146/annurev-environ-020411-130608
   Wambua R. M., 2018, Open Journal of Modern Hydrology, V8, P83
   Xiao W, 2018, LAND USE POLICY, V74, P142, DOI 10.1016/j.landusepol.2017.05.013
   ,, 1991, Technical Note - World Meteorological Organization
NR 65
TC 8
Z9 8
U1 3
U2 13
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-0472
J9 AGRICULTURE-BASEL
JI Agriculture-Basel
PD NOV
PY 2021
VL 11
IS 11
AR 1096
DI 10.3390/agriculture11111096
PG 22
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA XH6EW
UT WOS:000725526400001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Crick, F
   Eskander, SMSU
   Fankhauser, S
   Diop, M
AF Crick, Florence
   Eskander, Shaikh M. S. U.
   Fankhauser, Sam
   Diop, Mamadou
TI How do African SMEs respond to climate risks? Evidence from Kenya and
   Senegal
SO WORLD DEVELOPMENT
LA English
DT Article
DE Adaptation; Climate change; Climate resilience; Kenya; Senegal; SME
ID ADAPTIVE CAPACITY; CROP CHOICE; ADAPTATION; SECTOR; RESILIENCE; VALUES;
   POOR
AB This paper investigates to what extent and how micro, small and medium-sized enterprises (SMEs) in developing countries are adapting to climate risks. We use a questionnaire survey to collect data from 325 SMEs in the semi-arid regions of Kenya and Senegal and analyze this information to estimate the quality of current adaptation measures, distinguishing between sustainable and unsustainable adaptation. We then study the link between these current adaptation practices and adaptation planning for future climate change. We find that financial barriers are a key reason why firms resort to unsustainable adaptation, while general business support, access to information technology and adaptation assistance encourages sustainable adaptation responses. Engaging in adaptation today also increases the likelihood that a firm is preparing for future climate change. The finding lends support to the strategy of many development agencies who use adaptation to current climate variability as a way of building resilience to future climate change. There is a clear role for public policy in facilitating good adaptation. The ability of firms to respond to climate risks depends in no small measure on factors such as business environment that can be shaped through policy intervention. (C) 2018 Published by Elsevier Ltd.
C1 [Crick, Florence; Eskander, Shaikh M. S. U.; Fankhauser, Sam] London Sch Econ, Grantham Res Inst Climate Change & Environm, Houghton St, London WC2A 2AE, England.
   [Crick, Florence; Eskander, Shaikh M. S. U.; Fankhauser, Sam] London Sch Econ, Ctr Climate Change Econ & Policy, Houghton St, London WC2A 2AE, England.
   [Eskander, Shaikh M. S. U.] Kingston Univ London, Penrhyn Rd, Kingston Upon Thames KT1 2EE, Surrey, England.
   [Diop, Mamadou] IED AFRIQUE Innovat, Environm, Dev Afrique, Dakar, Senegal.
C3 University of London; London School Economics & Political Science;
   University of London; London School Economics & Political Science;
   Kingston University
RP Eskander, SMSU (corresponding author), Kingston Univ London, Penrhyn Rd, Kingston Upon Thames KT1 2EE, Surrey, England.
EM S.M.Eskander@lse.ac.uk
OI Eskander, Shaikh/0000-0002-3325-5486; DIOP, Mamadou/0000-0002-4208-0577
FU UK Government's Department for International Development (DfiD);
   International Development Research Centre (IDRC), Ottawa, Canada;
   Grantham Foundation for the Protection of the Environment; UK Economic
   and Social Research Council (ESRC) through the Centre for Climate Change
   Economics and Policy; Collaborative Adaptation Research Initiative in
   Africa and Asia (CARIAA); ESRC [ES/K006576/1] Funding Source: UKRI
FX This work is associated to 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), Ottawa, Canada. The
   views expressed in this work are those of the creators and do not
   necessarily represent those of the UK Government's Department for
   International Development, the International Development Research
   Centre, Canada or its Board of Governors. Financial support from the
   Grantham Foundation for the Protection of the Environment, and the UK
   Economic and Social Research Council (ESRC) through the Centre for
   Climate Change Economics and Policy is also acknowledged. We are
   grateful to Bhim Adhikary, Declan Conway, Kate Gannon, Bara Gueye, Guy
   Jobbins, Marie-Eve Landry, Stefania Lovo, Robert Metcalfe, Tom McDermott
   and Abeer Reza for their comments and feedback. We also received helpful
   feedback from participants at the 2017 CARIAA Annual Learning Review in
   Kathmandu, Nepal, an IDRC Brown Bag Seminar in Ottawa, Ontario and the
   2017 Canadian Economic Association Conference.
CR ALTENBURG T, 2008, CREATING ENABLING EN
   [Anonymous], OECD ENV WORKING PAP
   [Anonymous], 2017, CLIM CHANG KNOWL POR
   [Anonymous], CLOS GAP KEN UPD KEY
   [Anonymous], 2007, CHAPTER 14 GENDER EN
   Averchenkova A, 2016, WIRES CLIM CHANGE, V7, P517, DOI 10.1002/wcc.402
   Bauwens T, 2014, WORLD DEV, V64, P65, DOI 10.1016/j.worlddev.2014.05.015
   Beck T., 2014, Global Economy and Development Program, V16
   Begum RA, 2015, MITIG ADAPT STRAT GL, V20, P361, DOI 10.1007/s11027-013-9495-6
   Benjamin NC, 2012, REV DEV ECON, V16, P664, DOI 10.1111/rode.12010
   Berkhout F, 2012, WIRES CLIM CHANGE, V3, P91, DOI 10.1002/wcc.154
   Berner E, 2012, EUR J DEV RES, V24, P382, DOI 10.1057/ejdr.2011.61
   Blundel R, 2014, I SMALL BUSINESS ENT
   Bouwer LM, 2006, DISASTERS, V30, P49, DOI 10.1111/j.1467-9523.2006.00306.x
   Burgess R., 2013, UNEQUAL EFFECTS WEAT
   Cameron AC., 2010, MICROECONOMETRICS US
   De Souza K, 2015, REG ENVIRON CHANGE, V15, P747, DOI 10.1007/s10113-015-0755-8
   Dell M, 2012, AM ECON J-MACROECON, V4, P66, DOI 10.1257/mac.4.3.66
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Dougherty-Choux L., 2015, ADAPTING GROUND
   Fankhauser S., 2017, The State of Economics, the State of the World
   Fankhauser S, 2014, GLOBAL ENVIRON CHANG, V27, P9, DOI 10.1016/j.gloenvcha.2014.04.014
   Galbreath J, 2011, J BUS ETHICS, V104, P421, DOI 10.1007/s10551-011-0919-5
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guiteras R, 2015, AM ECON REV, V105, P232, DOI 10.1257/aer.p20151095
   Hampel-Milagrosa A, 2015, WORLD DEV, V66, P118, DOI 10.1016/j.worlddev.2014.08.005
   Hertin J, 2003, BUILD RES INF, V31, P278, DOI 10.1080/0961321032000097683
   Hillenkamp I., 2013, Securing livelihoods. Informal economy practices and institutions
   Kaesehage K., 2017, J BUS ETHICS, P1
   Kaesehage K, 2014, FENNIA, V192, P81, DOI 10.11143/40867
   Linnenluecke MK, 2013, WIRES CLIM CHANGE, V4, P397, DOI 10.1002/wcc.214
   Mendelsohn R, 2012, CLIM CHANG ECON, V3, DOI 10.1142/S2010007812500066
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nguyen D.H., 2016, P 2016 C N AM CHAPT
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Noy I, 2009, J DEV ECON, V88, P221, DOI 10.1016/j.jdeveco.2008.02.005
   Page J, 2015, AFR DEV REV, V27, P44, DOI 10.1111/1467-8268.12138
   Pauw P, 2013, CLIM DEV, V5, P257, DOI 10.1080/17565529.2013.826130
   Pauw WP, 2015, CLIM POLICY, V15, P583, DOI 10.1080/14693062.2014.953906
   Republique du Senegal, 2009, LETT POL SECT PME
   Reyes-Rodriguez JF, 2016, CORP SOC RESP ENV MA, V23, P193, DOI 10.1002/csr.1359
   Runyan R.C., 2006, Journal of Contingencies Crisis Management, V14, P12, DOI [DOI 10.1111/J.1468-5973.2006.00477.X, 10.1111/j.1468-5973.2006.00477.x]
   Scheraga JD, 1998, CLIMATE RES, V11, P85, DOI 10.3354/cr011085
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Seo SN, 2010, ECOL ECON, V69, P2486, DOI 10.1016/j.ecolecon.2010.07.025
   Sobel RS, 2006, PUBLIC CHOICE, V127, P55, DOI 10.1007/s11127-006-7730-3
   Surminski S., 2016, EC CLIMATE RESILIENT
   Surminski S, 2013, NAT CLIM CHANGE, V3, P943, DOI 10.1038/nclimate2040
   Tol RSJ, 2007, GLOBAL ENVIRON CHANG, V17, P218, DOI 10.1016/j.gloenvcha.2006.08.001
   Trabacchi C., 2015, Emerging solutions to drive private investment in climate resilience
   Tucker J, 2015, REG ENVIRON CHANGE, V15, P783, DOI 10.1007/s10113-014-0741-6
   USAID, 2017, CLIM CHANG RISK SEN
   Wang JX, 2010, CLIM CHANG ECON, V1, P167, DOI 10.1142/S2010007810000145
   Wedawatta G, 2010, INT J STRATEG PROP M, V14, P362, DOI 10.3846/ijspm.2010.27
   Williams S, 2013, BUS STRATEG ENVIRON, V22, P173, DOI 10.1002/bse.1740
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Yoshida K., 2005, NAT HAZARDS REV, V6, P1, DOI [10.1061/(ASCE) 1527-6988(2005) 6:1(1), DOI 10.1061/(ASCE)1527-6988(2005)6:1(1)]
NR 57
TC 49
Z9 54
U1 8
U2 46
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0305-750X
J9 WORLD DEV
JI World Dev.
PD AUG
PY 2018
VL 108
BP 157
EP 168
DI 10.1016/j.worlddev.2018.03.015
PG 12
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA GH3AH
UT WOS:000433272600012
OA Green Accepted, Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Ayhan, N
   Güler, P
   Onder, BS
AF Ayhan, Nazli
   Gueler, Pinar
   Onder, Banu Sebnem
TI Altitudinal variation in lifespan of <i>Drosophila melanogaster</i>
   populations from the Firtina Valley, northeastern Turkey
SO JOURNAL OF THERMAL BIOLOGY
LA English
DT Article
DE Altitudinal gradient; Clinal variation; Food stress; Lifespan; Local
   adaptation; Temperature stress
ID STRESS RESISTANCE TRAITS; BODY-SIZE; EASTERN AUSTRALIA; CLINAL
   VARIATION; GEOGRAPHIC-VARIATION; DIETARY RESTRICTION; LATITUDINAL
   CLINES; DEVELOPMENTAL TIME; HISTORY CLINES; NORTH-AMERICA
AB Studies of attitudinal changes in phenotype and genotype can complement studies of latitudinal patterns and provide evidence of natural selection in response to climatic factors. In Drosophila melanogaster, latitudinal variation in phenotype and genotype has been well studied, but attitudinal patterns have rarely been investigated. We studied populations from six different altitudes varying between 35 m and 2173 m in the Firtina Valley in northeastern part of Turkey to evaluate clinal trends in lifespan under experimental conditions. Lifespan in the D. melanogaster populations was examined in relation to altitude, sex, temperature (25 degrees C and 29 degrees C), and dietary yeast concentration (5 g/L and 25 g/L). As expected high temperature decrease lifespan in all populations. However, it was shown that lifespan was slightly affected by dietary stress. We found that lifespan decreases significantly under thermal stress conditions with increasing altitude. Moreover, there was a slightly negative relationship between altitude and lifespan, which was closely associated with climatic factors such as temperature and precipitation, may suggest local adaptation to climate. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Ayhan, Nazli; Gueler, Pinar; Onder, Banu Sebnem] Hacettepe Univ, Fac Sci, Dept Biol, TR-06800 Ankara, Turkey.
   [Ayhan, Nazli] EPV Aix Marseille Univ, UMR Emergence Pathol Virales, EHESP, IRD 190,Inserm 1207, Marseille, France.
   [Gueler, Pinar] Univ Regensburg, Inst Zool, D-93040 Regensburg, Germany.
C3 Hacettepe University; Ecole des Hautes Etudes en Sante Publique (EHESP);
   Aix-Marseille Universite; Institut National de la Sante et de la
   Recherche Medicale (Inserm); Institut de Recherche pour le Developpement
   (IRD); University of Regensburg
RP Onder, BS (corresponding author), Hacettepe Univ, Fac Sci, Dept Biol, TR-06800 Ankara, Turkey.
EM bdalgic@hacettepe.edu.tr
RI Onder, Banu Sebnem/A-3275-2013
OI Onder, Banu Sebnem/0000-0002-3003-248X; ayhan, nazli/0000-0003-4979-6794
FU Hacettepe University Scientific Research Coordination Unit [012 D06 601
   012]
FX We thank Ibrahim Asian for assistance with collections, and we are
   grateful to Cagasan Karacaoglu for the climatic data and Utku Perktas
   for graphical aid. We thank also two anonymous reviewers for their
   suggestions to improve the manuscript. This work was supported by the
   Hacettepe University Scientific Research Coordination Unit (Grant number
   012 D06 601 012).
CR Adrion JR, 2015, TRENDS GENET, V31, P434, DOI 10.1016/j.tig.2015.05.006
   [Anonymous], 1998, AM J PHYS ANTHR
   Arthur AL, 2008, J EVOLUTION BIOL, V21, P1470, DOI 10.1111/j.1420-9101.2008.01617.x
   BAUR B, 1988, J ANIM ECOL, V57, P71, DOI 10.2307/4764
   Bubliy OA, 2005, BIOL J LINN SOC, V84, P119, DOI 10.1111/j.1095-8312.2005.00419.x
   Burger JMS, 2010, AGING CELL, V9, P327, DOI 10.1111/j.1474-9726.2010.00560.x
   Burtscher M, 2014, AGING DIS, V5, P274, DOI 10.14336/AD.2014.0500274
   De Jong G, 2003, J GENET, V82, P207, DOI 10.1007/BF02715819
   Doroszuk A, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-167
   Duyck PF, 2010, BIOL J LINN SOC, V101, P345, DOI 10.1111/j.1095-8312.2010.01497.x
   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
   Fadamiro HY, 2005, PHYSIOL ENTOMOL, V30, P212, DOI 10.1111/j.1365-3032.2005.00449.x
   Futuyma D.J., 1998, EVOL BIOL
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hoffmann AA, 2005, FUNCT ECOL, V19, P222, DOI 10.1111/j.1365-2435.2005.00959.x
   Hoffmann AA, 2003, J THERM BIOL, V28, P175, DOI 10.1016/S0306-4565(02)00057-8
   Hoffmann AA, 2002, EVOLUTION, V56, P1068, DOI 10.1111/j.0014-3820.2002.tb01418.x
   Kapun M, 2016, MOL BIOL EVOL, V33, P1317, DOI 10.1093/molbev/msw016
   Karl I, 2009, FUNCT ECOL, V23, P1132, DOI 10.1111/j.1365-2435.2009.01607.x
   Karl I, 2009, ECOGRAPHY, V32, P488, DOI 10.1111/j.1600-0587.2008.05660.x
   KNIBB WR, 1982, GENETICA, V58, P213, DOI 10.1007/BF00128015
   Lencioni Valeria, 2004, Journal of Limnology, V63, P45
   Mair W, 2008, ANNU REV BIOCHEM, V77, P727, DOI 10.1146/annurev.biochem.77.061206.171059
   Mitrovski P, 2001, P ROY SOC B-BIOL SCI, V268, P2163, DOI 10.1098/rspb.2001.1787
   Morrison C, 2004, HERPETOLOGICA, V60, P34, DOI 10.1655/02-68
   Munch SB, 2009, P NATL ACAD SCI USA, V106, P13860, DOI 10.1073/pnas.0900300106
   Norry FM, 2006, GENETICA, V128, P81, DOI 10.1007/s10709-005-5537-7
   Norry FM, 2002, EVOLUTION, V56, P299, DOI 10.1111/j.0014-3820.2002.tb01340.x
   Norry FM, 2001, HEREDITAS, V135, P35, DOI 10.1111/j.1601-5223.2001.t01-1-00035.x
   Paaby AB, 2010, MOL ECOL, V19, P760, DOI 10.1111/j.1365-294X.2009.04508.x
   Parkash R, 2000, EVOL ECOL RES, V2, P685
   Parkash R, 2005, PHYSIOL ENTOMOL, V30, P353, DOI 10.1111/j.1365-3032.2005.00470.x
   Pitchers W, 2013, EVOLUTION, V67, P438, DOI 10.1111/j.1558-5646.2012.01774.x
   Reeve MW, 2000, J EVOLUTION BIOL, V13, P836, DOI 10.1046/j.1420-9101.2000.00216.x
   Reinhardt JA, 2014, GENETICS, V197, P361, DOI 10.1534/genetics.114.161463
   RICE WR, 1989, EVOLUTION, V43, P223, DOI 10.1111/j.1558-5646.1989.tb04220.x
   Robinson SJW, 2001, J EVOLUTION BIOL, V14, P14, DOI 10.1046/j.1420-9101.2001.00259.x
   Saglam Ismail Kudret, 2007, Turkish Journal of Zoology, V31, P1
   Sambucetti P, 2006, HEREDITAS, V143, P77, DOI 10.1111/j.2006.0018-0661.01934.x
   Schmidt PS, 2008, EVOLUTION, V62, P1204, DOI 10.1111/j.1558-5646.2008.00351.x
   Schrider DR, 2016, MOL BIOL EVOL, V33, P1308, DOI 10.1093/molbev/msw014
   Sgrò CM, 2013, MOL ECOL, V22, P3539, DOI 10.1111/mec.12353
   Simoes P, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0051625
   Sorensen JG, 2005, J EVOLUTION BIOL, V18, P829, DOI 10.1111/j.1420-9101.2004.00876.x
   Speakman JR, 2005, J EXP BIOL, V208, P1717, DOI 10.1242/jeb.01556
   STEARNS SC, 1989, BIOSCIENCE, V39, P436, DOI 10.2307/1311135
   Takahashi Y, 2011, BMC EVOL BIOL, V11, DOI 10.1186/1471-2148-11-256
   Tatar M, 1997, OECOLOGIA, V111, P357, DOI 10.1007/s004420050246
   Tatar M, 2014, TRENDS ENDOCRIN MET, V25, P509, DOI 10.1016/j.tem.2014.02.006
   Terblanche JS, 2005, J INSECT PHYSIOL, V51, P861, DOI 10.1016/j.jinsphys.2005.03.017
   Trotta V, 2006, BMC EVOL BIOL, V6, DOI 10.1186/1471-2148-6-67
   van Delden Wilke, 1997, V83, P97
   Vermeulen CJ, 2007, EXP GERONTOL, V42, P153, DOI 10.1016/j.exger.2006.09.014
   Ziuganov V, 2000, AMBIO, V29, P102, DOI 10.1639/0044-7447(2000)029[0102:LSVOTF]2.0.CO;2
NR 55
TC 5
Z9 5
U1 1
U2 20
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0306-4565
J9 J THERM BIOL
JI J. Therm. Biol.
PD OCT
PY 2016
VL 61
BP 91
EP 97
DI 10.1016/j.jtherbio.2016.09.002
PG 7
WC Biology; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Zoology
GA EA2FR
UT WOS:000386408700012
PM 27712666
DA 2025-01-10
ER

PT J
AU Shen, PJ
   Wang, XY
   Zohner, CM
   Peñuelas, J
   Zhou, YY
   Tang, ZY
   Xia, JY
   Zheng, H
   Fu, YS
   Liang, JJ
   Sun, WW
   Zhang, YG
   Wu, CY
AF Shen, Pengju
   Wang, Xiaoyue
   Zohner, Constantin M.
   Penuelas, Josep
   Zhou, Yuyu
   Tang, Zhiyao
   Xia, Jianyang
   Zheng, Hua
   Fu, Yongshuo
   Liang, Jingjing
   Sun, Weiwei
   Zhang, Yongguang
   Wu, Chaoyang
TI Biodiversity buffers the response of spring leaf unfolding to climate
   warming
SO NATURE CLIMATE CHANGE
LA English
DT Article
ID TEMPERATURE SENSITIVITY; PLANT DIVERSITY; BUD-BURST; PHENOLOGY
AB Understanding the sensitivity of spring leaf-out dates to temperature (ST) is integral to predicting phenological responses to climate warming and the consequences for global biogeochemical cycles. While variation in ST has been shown to be influenced by local climate adaptations, the impact of biodiversity remains unknown. Here we combine 393,139 forest inventory plots with satellite-derived ST across the northern hemisphere during 2001-2022 to show that biodiversity greatly affects spatial variation in ST and even surpasses the importance of climate variables. High tree diversity significantly weakened ST, possibly driven by changes in root depth and soil processes. We show that current Earth system models fail to reproduce the observed negative correlation between ST and biodiversity, with important implications for phenological responses under future pathways. Our results highlight the need to incorporate the buffering effects of biodiversity to better understand the impact of climate warming on spring leaf unfolding and carbon uptake.
   The authors combine 393,139 forest inventory plots with satellite data to understand the impact of biodiversity on the sensitivity of spring leaf-out dates to temperature (ST). They show that high diversity significantly weakens ST, a relationship that Earth system models largely fail to reproduce.
C1 [Shen, Pengju; Wang, Xiaoyue; Wu, Chaoyang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China.
   [Shen, Pengju; Wang, Xiaoyue; Wu, Chaoyang] Univ Chinese Acad Sci, Beijing, Peoples R China.
   [Zohner, Constantin M.] Swiss Fed Inst Technol, Inst Integrat Biol, Dept Environm Syst Sci, Zurich, Switzerland.
   [Penuelas, Josep] CSIC, Global Ecol Unit CREAF CSIC UAB, Barcelona, Spain.
   [Penuelas, Josep] CREAF, Barcelona, Spain.
   [Zhou, Yuyu] Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA USA.
   [Tang, Zhiyao] Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Beijing, Peoples R China.
   [Tang, Zhiyao] Peking Univ, Key Lab Earth Surface Proc, Minist Educ, Beijing, Peoples R China.
   [Xia, Jianyang] East China Normal Univ, Inst Ecochongming, Sch Ecol & Environm Sci, Zhejiang Tiantong Forest Ecosyst Natl Observat & R, Shanghai, Peoples R China.
   [Zheng, Hua] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing, Peoples R China.
   [Fu, Yongshuo] Beijing Normal Univ, Coll Water Sci, Beijing, Peoples R China.
   [Liang, Jingjing] Purdue Univ, Dept Forestry & Nat Resources, Forest Adv Comp & Artificial Intelligence Lab, W Lafayette, IN USA.
   [Sun, Weiwei] Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo, Peoples R China.
   [Zhang, Yongguang] Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, 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; Swiss Federal Institutes of Technology
   Domain; ETH Zurich; Centro de Investigacion Ecologica y Aplicaciones
   Forestales (CREAF-CERCA); Consejo Superior de Investigaciones
   Cientificas (CSIC); University of Barcelona; Centro de Investigacion
   Ecologica y Aplicaciones Forestales (CREAF-CERCA); Iowa State
   University; Peking University; Peking University; East China Normal
   University; Chinese Academy of Sciences; Research Center for
   Eco-Environmental Sciences (RCEES); Beijing Normal University; Purdue
   University System; Purdue University; Ningbo University; Nanjing
   University
RP Wu, CY (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China.; Wu, CY (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China.; Sun, WW (corresponding author), Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo, Peoples R China.; Zhang, YG (corresponding author), Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China.
EM sunweiwei@nbu.edu.cn; yongguang_zhang@nju.edu.cn; wucy@igsnrr.ac.cn
RI Fu, Yongshuo/AAH-7434-2019; Zhou, Yuyu/ABF-1638-2020; Tang,
   Zhiyao/B-8795-2008; Zhang, xiaoyu/GXA-3206-2022; Penuelas,
   Josep/D-9704-2011
OI Shen, Pengju/0009-0007-0011-9131; Tang, Zhiyao/0000-0003-0154-6403;
   Zhou, Yuyu/0000-0003-1765-6789; Wang, Xiaoyue/0000-0002-9950-2259;
   Penuelas, Josep/0000-0002-7215-0150
FU National Natural Science Foundation of China [42125101, 42271034,
   42125105]; Youth Innovation Promotion Association of the Chinese Academy
   of Sciences [2022051]; Spanish MCIN, AEI [TED2021-132627B-I00]; European
   Union NextGenerationEU/PRTR; Fundacion Ramon Areces, Catalan government
   [CIVP20A6621, SGR221-1333]; SNF Ambizione [PZ00P3_193646]; National
   Science Foundation of the United States [2311762]
FX This work was funded by the National Natural Science Foundation of China
   (grant nos 42125101 and 42271034). X.W. was funded by the Youth
   Innovation Promotion Association of the Chinese Academy of Sciences
   (grant no. 2022051). Y. Zhang was funded by the National Natural Science
   Foundation of China (grant no. 42125105). J.P. was funded by the
   TED2021-132627B-I00 grant funded by the Spanish MCIN,
   AEI/10.13039/501100011033, and by the European Union
   NextGenerationEU/PRTR, the Fundacion Ramon Areces project no.
   CIVP20A6621 and the Catalan government grant no. SGR221-1333. C.M.Z. was
   funded by SNF Ambizione grant no. PZ00P3_193646. J.L. was supported by
   Science-i, of which the cyberinfrastructure was partially sponsored by
   the National Science Foundation of the United States (award no.
   2311762).
CR Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Bennie J, 2010, GLOBAL CHANGE BIOL, V16, P1503, DOI 10.1111/j.1365-2486.2009.02095.x
   Beugnon R, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00040-0
   Chen SP, 2018, P NATL ACAD SCI USA, V115, P4027, DOI 10.1073/pnas.1700298114
   Chen TQ, 2016, KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, P785, DOI 10.1145/2939672.2939785
   Chen XL, 2023, NATURE, V618, P94, DOI 10.1038/s41586-023-05941-9
   Dinerstein E, 2017, BIOSCIENCE, V67, P534, DOI 10.1093/biosci/bix014
   Ding JZ, 2017, NAT GEOSCI, V10, P420, DOI [10.1038/NGEO2945, 10.1038/ngeo2945]
   Dronova I, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abl8214
   Friedl M., 2022, MODIS/Terra+Aqua Land Cover Dynamics Yearly L3 Global 500m SIN Grid V061, DOI [DOI 10.5067/MODIS/MCD12Q2.061, 10.5067/MODIS/MCD12Q1.061, DOI 10.5067/MODIS/MCD12Q1.061]
   Fu YSH, 2015, NATURE, V526, P104, DOI 10.1038/nature15402
   Furey GN, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2111321118
   Gao MD, 2020, GLOBAL CHANGE BIOL, V26, P5189, DOI 10.1111/gcb.15200
   García-Palacios P, 2018, P NATL ACAD SCI USA, V115, P8400, DOI 10.1073/pnas.1800425115
   Gonsamo A, 2013, ECOL INDIC, V29, P203, DOI 10.1016/j.ecolind.2012.12.026
   Gould IJ, 2016, ECOL LETT, V19, P1140, DOI 10.1111/ele.12652
   Gu HS, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31496-w
   Harris CR, 2020, NATURE, V585, P357, DOI 10.1038/s41586-020-2649-2
   Hordijk I, 2023, J ECOL, V111, P1308, DOI 10.1111/1365-2745.14098
   Kong DD, 2022, METHODS ECOL EVOL, V13, P1508, DOI 10.1111/2041-210X.13870
   Liang JJ, 2016, SCIENCE, V354, DOI 10.1126/science.aaf8957
   Liu D, 2022, NAT GEOSCI, V15, P800, DOI 10.1038/s41561-022-01026-w
   Lundberg SM, 2020, NAT MACH INTELL, V2, P56, DOI 10.1038/s42256-019-0138-9
   Maina FZ, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-20564-2
   Menzel A, 2006, GLOBAL CHANGE BIOL, V12, P1969, DOI 10.1111/j.1365-2486.2006.01193.x
   Mori AS, 2021, NAT CLIM CHANGE, V11, P543, DOI 10.1038/s41558-021-01062-1
   Oliveira BF, 2022, COMMUN BIOL, V5, DOI 10.1038/s42003-022-03573-9
   Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
   Peñuelas J, 2001, SCIENCE, V294, P793, DOI 10.1126/science.1066860
   Peñuelas J, 2009, SCIENCE, V324, P887, DOI 10.1126/science.1173004
   Picard G, 2005, GLOBAL CHANGE BIOL, V11, P2164, DOI 10.1111/j.1365-2486.2005.01055.x
   Poggio L, 2021, SOIL-GERMANY, V7, P217, DOI 10.5194/soil-7-217-2021
   Rey SJ., 2009, Handbook of applied spatial analysis: software tools, methods and applications, P175
   Rheault G, 2021, BMC ECOL EVOL, V21, DOI 10.1186/s12862-021-01817-6
   Sabater J.Munoz., 2019, COPERNICUS CLIMATE C
   Seabold S., 2010, P 9 PYTH SCI C AUST, V57, P10, DOI DOI 10.25080/MAJORA-92BF1922-011
   Shen M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087977
   Shen MG, 2022, NAT REV EARTH ENV, V3, P633, DOI 10.1038/s43017-022-00317-5
   Shen P., 2024, GITHUB
   Vallat R., 2018, Journal of Open Source Softw, V3, DOI [10.21105/joss.01026, DOI 10.21105/JOSS.01026]
   Wang C, 2015, ECOL INDIC, V50, P62, DOI 10.1016/j.ecolind.2014.11.004
   Wang T, 2014, GLOBAL CHANGE BIOL, V20, P1473, DOI 10.1111/gcb.12509
   Wolf AA, 2017, P NATL ACAD SCI USA, V114, P3463, DOI 10.1073/pnas.1608357114
   Xin QC, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS001935
   Yin R, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-37938-3
   Yu Z, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-32961-2
   Zhang JH, 2020, GLOBAL CHANGE BIOL, V26, P2534, DOI 10.1111/gcb.14973
   Zhang SX, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-65704-8
   Zhu BY, 2023, NPJ CLIM ATMOS SCI, V6, DOI 10.1038/s41612-023-00419-x
NR 49
TC 2
Z9 2
U1 59
U2 72
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 1758-678X
EI 1758-6798
J9 NAT CLIM CHANGE
JI Nat. Clim. Chang.
PD AUG
PY 2024
VL 14
IS 8
DI 10.1038/s41558-024-02035-w
EA JUN 2024
PG 13
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA D1D3K
UT WOS:001251556200002
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Garrison, JD
   Martinez, S
AF Garrison, Jessica Debats
   Martinez, Stephanie
TI When mitigation is not "just mitigation": Defining (and diffusing)
   tensions between climate mitigation, adaptation, and justice
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Wetlands; Mitigation; Maladaptation; Environmental justice; Climate
   justice; Distributive equity
ID URBAN GREEN SPACE; ENVIRONMENTAL JUSTICE; ECOSYSTEM SERVICES;
   LOS-ANGELES; HEALTH; VULNERABILITY; RESTORATION; DISPARITIES; POLICIES;
   WETLANDS
AB Using the case of wetlands in California, USA, this paper defines (and assesses strategies for advancing) an understudied corollary of maladaptation and "just adaptation": "just mitigation." Wetlands sequester carbon, making their conservation and restoration important for climate mitigation. They also offer co-benefits for climate adaptation, such as greenspace that mitigates the urban heat island and improves local environmental health. However, if such co-benefits are concentrated in the least vulnerable communities, the result would be "unjust mitigation." This analysis uses a distributive justice lens to compare environmental justice indicators between areas of past and potential investment in wetlands conservation and restoration. On average, areas with greater pollution burden and social vulnerability and less greenspace have received less investment in wetlands conservation and restoration and contain fewer wetlands that could receive investment earmarked for wetlands in the future. This begs the question of what degree of such inequality is acceptable in exchange for reducing overall carbon emissions. Advancing "just mitigation" requires prioritizing wetlands near environmentally burdened communities. However, if such wetlands have reduced sequestration potential due to ecological damage, the goals of mitigation, adaptation, and environmental justice may be in tension.
C1 [Garrison, Jessica Debats; Martinez, Stephanie] Univ Calif Irvine, Dept Urban Planning & Publ Policy, Irvine, CA USA.
   [Garrison, Jessica Debats] 232D Social Ecol 1, Irvine, CA 92697 USA.
C3 University of California System; University of California Irvine
RP Garrison, JD (corresponding author), 232D Social Ecol 1, Irvine, CA 92697 USA.
EM jdgarris@uci.edu; smartin7@uci.edu
FU University of California Lab Fees Research Program [L22CR4529]
FX University of California Lab Fees Research Program, application ID
   L22CR4529. https://
   www.ucop.edu/research-initiatives/programs/lab-fees/index.html.
CR Adger W.N., 2006, Fairness in adaptation to climate change, P1
   Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1, DOI 10.1017/CBO9780511596667.002
   Agrawal A, 2011, ANNU REV ENV RESOUR, V36, P373, DOI 10.1146/annurev-environ-042009-094508
   Akbari H, 2002, ENVIRON POLLUT, V116, pS119, DOI 10.1016/S0269-7491(01)00264-0
   Alikhani S, 2021, WATER-SUI, V13, DOI 10.3390/w13223301
   [Anonymous], 2021, CalEnviroScreen 4.0
   [Anonymous], 2022, Climate and Economic Justice Screening Tool (Version 1.0)
   Archer DN, 2020, VANDERBILT LAW REV, V73, P1259
   August L., 2021, Office of Environmental Health Hazard Assessment (OEHHA CalEnviroScreen, V4, P207
   Ayers JM, 2009, ENVIRON MANAGE, V43, P753, DOI 10.1007/s00267-008-9223-2
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Beckman CM, 2023, BIOL CONSERV, V279, DOI 10.1016/j.biocon.2023.109926
   Benzie M, 2019, INT ENVIRON AGREEM-P, V19, P369, DOI 10.1007/s10784-019-09441-y
   Bordner A, 2023, NPJ CLIM ACTION, V2, DOI 10.1038/s44168-023-00079-w
   Boyd D, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103563
   Browne Geoffrey R., 2022, STANDARDS, V2, P90, DOI DOI 10.3390/STANDARDS2010008
   Bullard RD., 2018, Dumping in dixie: race, class, and environmental quality, VThird, DOI DOI 10.4324/9780429495274
   Byrne J, 2009, PROG HUM GEOG, V33, P743, DOI 10.1177/0309132509103156
   Byrne J, 2009, J ENVIRON PLANN MAN, V52, P365, DOI 10.1080/09640560802703256
   California Air Resources Board, 2022, Scoping plan for achieving carbon neutrality Internet
   California Climate Investments, 2023, Annual Report to the Legislature on California Climate Investments Using Cap-and-Trade Auction Proceeds: Greenhouse Gas Reduction Fund
   California Department of Fish & Wildlife, 2023, Wetlands Restoration for Greenhouse Gas Reduction Program
   California Department of Fish & Wildlife and & California Climate Investments, 2017, Wetlands Restoration for Greenhouse Gas Reduction Program Proposal Solicitation Notice Fiscal Year 2017-2018
   California Environmental Protection Agency (CalEPA), 2022, California Climate Investments to Benefit Disadvantaged Communities
   California Environmental Protection Agency (CalEPA), 2023, California Climate Solutions.
   California Wetlands Monitoring Workgroup (CWMW), 2023, Habitat Projects.
   Coggins S, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0663
   Cole LukeW. Sheila R. Foster., 2001, GROUND ENV RACISM RI
   Curran W, 2012, LOCAL ENVIRON, V17, P1027, DOI 10.1080/13549839.2012.729569
   Dai D, 2011, LANDSCAPE URBAN PLAN, V102, P234, DOI 10.1016/j.landurbplan.2011.05.002
   Davis M, 2010, NEW LEFT REV, P29
   Denton A, 2017, GLOBAL ENVIRON CHANG, V43, P62, DOI 10.1016/j.gloenvcha.2017.01.006
   Dernoga MA, 2015, ENVIRON SCI POLICY, V45, P67, DOI 10.1016/j.envsci.2014.08.007
   Dolsak N, 2018, ANNU REV ENV RESOUR, V43, P317, DOI 10.1146/annurev-environ-102017-025739
   Eisenman TS, 2016, CHANGE OVER TIME, V6, P216, DOI 10.1353/cot.2016.0014
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Erwin KL, 2009, WETL ECOL MANAG, V17, P71, DOI 10.1007/s11273-008-9119-1
   ESRI, 2023, ArcGIS Pro: Release 3.2.0
   Forsyth T, 2022, POLIT GEOGR, V98, DOI 10.1016/j.polgeo.2022.102691
   Fredrickson A, 2013, COAST MANAGE, V41, P258, DOI 10.1080/08920753.2013.784888
   Garcia AP, 2013, ENVIRON JUSTICE, V6, P17, DOI 10.1089/env.2012.0016
   Garrison JD, 2019, ENVIRON PLAN B-URBAN, V46, P914, DOI 10.1177/2399808317737071
   Gender Equity Policy Institute, 2021, Failing the climate justice test: An analysis of California's projected resilience funding and its effects on Californians by region, race, and gender
   Glover L, 2021, CLIMATE, V9, DOI 10.3390/cli9050069
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Harlan SL, 2011, CURR OPIN ENV SUST, V3, P126, DOI 10.1016/j.cosust.2011.01.001
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Ikeme J, 2003, GLOBAL ENVIRON CHANG, V13, P195, DOI 10.1016/S0959-3780(03)00047-5
   Jbaily A, 2022, NATURE, V601, P228, DOI 10.1038/s41586-021-04190-y
   Jennings V, 2012, ENVIRON JUSTICE, V5, P1, DOI 10.1089/env.2011.0007
   Johansson-Stenman O., 2009, Fairness concerns in environmental economics-Do they really matter and if so how?
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kinay P, 2022, ENVIRON RES-CLIM, V1, DOI 10.1088/2752-5295/ac4da2
   Knox-Hayes J., 2020, Knowledge for Governance, P193
   Knox-Hayes J., 2017, The European Financial ReviewJanuary 10
   Knox-Hayes J, 2022, GEOGR RES-AUST, V60, P342, DOI 10.1111/1745-5871.12537
   Knox-Hayes J, 2015, GEOFORUM, V65, P297, DOI 10.1016/j.geoforum.2015.07.028
   Konopacki S., 2002, Energy savings of heat island reduction strategies in Chicago and Houston (including updates for Baton Rouge, Sacramento, and Salt Lake City)
   Kroeger KD, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-12138-4
   Lee S. K., 2008, Journal of Ecotourism, V7, P44, DOI 10.2167/joe191.0
   Lewis J, 2020, ENERG EFFIC, V13, P419, DOI 10.1007/s12053-019-09820-z
   Lolu AJ, 2020, Restoration of wetland ecosystem: a trajectory towards a sustainable environment, P45
   Loukaitou-Sideris A., 2002, Town planning review, V73, P467, DOI [10.3828/tpr.73.4.5, DOI 10.3828/TPR.73.4.5]
   LOWRY WP, 1967, SCI AM, V217, P15, DOI 10.1038/scientificamerican0867-15
   Mack J. J., 2007, Ohio EPA Technical Report WET/ 2007-3A, P52
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Malloy JT, 2020, CLIMATIC CHANGE, V160, P1, DOI 10.1007/s10584-020-02705-6
   Markkanen S, 2019, CLIM POLICY, V19, P827, DOI 10.1080/14693062.2019.1596873
   Martin DM, 2017, RESTOR ECOL, V25, P668, DOI 10.1111/rec.12554
   McClintock N, 2012, APPL GEOGR, V35, P460, DOI 10.1016/j.apgeog.2012.10.001
   Mendez M., 2020, Climate change from the streets: How conflict and collaboration strengthen the environmental justice movement
   Mitsch W J., 2023, Wetlands, V6th
   Mohtat N, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100951
   Morello-Frosch R., 2009, CLIMATE GAP INEQUALI
   Murray B. C., 2011, Green payments for blue carbon: economic incentives for protecting threatened coastal habitats
   Musamba Emmanuel B., 2012, Journal of Human Ecology, V37, P85
   Nahlik AM, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13835
   Nowak DJ, 2013, ENVIRON POLLUT, V178, P395, DOI 10.1016/j.envpol.2013.03.050
   OConnell D., 2017, Ecosystem Services and California's Working Landscapes: Market Mechanisms to Revitalize Rural Economies, P54
   Office of Environmental Health Hazard Assessment, 2021, CALENVIROSCREEN 4 0
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Patterson J, 2017, ENVIRON INNOV SOC TR, V24, P1, DOI 10.1016/j.eist.2016.09.001
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Piggott-McKellar AE, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01614-9
   Pincetl S, 2013, GEOJOURNAL, V78, P475, DOI 10.1007/s10708-012-9446-x
   Rigolon A, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18052563
   Rosenthal JK, 2014, HEALTH PLACE, V30, P45, DOI 10.1016/j.healthplace.2014.07.014
   Ruiz-Aviles V, 2020, URBAN SCI, V4, DOI 10.3390/urbansci4040078
   Saporito S, 2015, HUM ECOL REV, V21, P113
   Schipper ELF, 2022, NAT CLIM CHANGE, V12, P617, DOI 10.1038/s41558-022-01409-2
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Schlosberg D., 2003, MORAL POLITICAL REAS
   Sharifi A, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141642
   Sharifi A, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.122813
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Shi LD, 2015, J AM PLANN ASSOC, V81, P191, DOI 10.1080/01944363.2015.1074526
   Shokry G, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100539
   Shonkoff SB, 2011, CLIMATIC CHANGE, V109, P485, DOI 10.1007/s10584-011-0310-7
   Shrestha S, 2019, J ENVIRON MANAGE, V235, P535, DOI 10.1016/j.jenvman.2019.01.035
   Singh C, 2022, CLIM DEV, V14, P650, DOI 10.1080/17565529.2021.1964937
   State of California, 2023, Pathways to 30X30 California.
   State of California, 2018, Defining Vulnerable Communities in the Context of Climate Adaptation
   State of California, 2022, California's Fifth Climate Change Assessment.
   State of California, 2021, California Climate Adaptation Strategy.
   Stokes D., 2023, UCLA Law Review., V71
   Sze J, 2009, ENVIRON JUSTICE, V2, P179, DOI 10.1089/env.2009.0028
   U.S. Environmental Protection Agency, 2022, EJScreen: Environmental Justice Screening and Mapping Tool (Version 2.0)
   UNEP Blue Carbon A Rapid Response Assessment, 2009, UNEP BLUE CARB RAP R
   United States Army Corps of Engineers and Port of Long Beach, 2011, Pier S Marine Terminal and Back Channel Improvements Draft Environmental Impact Statement/ Environmental Impact Report
   United States Army Corps of Engineers and Port of Long Beach, 2009, Middle Harbor Redevelopment Project Final Environmental Impact Statement / Environmental Impact Report
   USA Wetlands, 2022, Map.
   Walker G, 2010, ENVIRON IMPACT ASSES, V30, P312, DOI 10.1016/j.eiar.2010.04.005
   Wapner P., 2009, The Journal of Environment & Development, V18, P203
   Were D, 2019, EARTH SYST ENVIRON, V3, P327, DOI 10.1007/s41748-019-00094-0
   White House Council on Environmental Quality, 2023, Instructions to Federal Agencies on Using the Climate and Economic Justice Screening Tool
   Wolch J, 2005, URBAN GEOGR, V26, P4, DOI 10.2747/0272-3638.26.1.4
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Work C, 2019, CLIM POLICY, V19, pS47, DOI 10.1080/14693062.2018.1527677
   Xu XB, 2020, GLOB ECOL CONSERV, V22, DOI 10.1016/j.gecco.2020.e01027
   Zedler JB, 2005, ANNU REV ENV RESOUR, V30, P39, DOI 10.1146/annurev.energy.30.050504.144248
NR 122
TC 0
Z9 0
U1 16
U2 26
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 AUG
PY 2024
VL 248
AR 105081
DI 10.1016/j.landurbplan.2024.105081
EA APR 2024
PG 14
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 SB6K6
UT WOS:001232036800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Kuitert, L
   Willems, J
   Volker, L
AF Kuitert, Lizet
   Willems, Jannes
   Volker, Leentje
TI Value integration in multi-functional urban projects: a value driven
   perspective on sustainability transitions
SO CONSTRUCTION MANAGEMENT AND ECONOMICS
LA English
DT Article
DE Value integration; blue-green infrastructure; co-benefits; social
   innovation; bureaucratic innovation; urban planning; heterogeneity;
   institutional frameworks; boundary spanners; time conception
ID CLIMATE ADAPTATION; MANAGEMENT; WATER; ORGANIZATIONS; INSTITUTIONS;
   RESILIENT; FRAMEWORK; SYSTEMS
AB Sustainable urban development requires the integration of diverse values to achieve multi-functional goals. Blue-Green Infrastructure (BGI) projects can be considered as pioneers in value integration. By combining bureaucratic innovations (BI) and social innovations (SI) these BGI projects are able to reach a more holistic development that is characterised as a value-driven approach for sustainability transitions. In this study on BGI projects, we aim to learn how to deliver multi-functional projects through different interpretation of four factors, i.e. professional culture, governance level, geographical space, and time conception, in various constellations of BI and SI. Results of our cross-case study of four BGI projects in three European countries (the Netherlands, Belgium and Sweden) indicate that project with higher degrees of value integration balance BI and SI in following four ways: (i) heterogeneity in professions in value-decision-making, (ii) multi-level governance embedded in institutional frameworks, (iii) connecting city-wide and neighbourhood levels by boundary spanners, and (iv) having a dynamic time conception. Our findings imply that social innovation experiences on projects has to fit into the bureaucratic environment to achieve true value integration.
C1 [Kuitert, Lizet] Erasmus Univ, Dept Publ Adm & Sociol, Rotterdam, Netherlands.
   [Willems, Jannes] Univ Amsterdam, Amsterdam Inst Social Sci Res, Amsterdam, Netherlands.
   [Volker, Leentje] Univ Twente, Fac Engn Technol, Enschede, Netherlands.
C3 Erasmus University Rotterdam; Erasmus University Rotterdam - Excl
   Erasmus MC; University of Amsterdam; University of Twente
RP Kuitert, L (corresponding author), Erasmus Univ, Dept Publ Adm & Sociol, Rotterdam, Netherlands.
EM kuitert@essb.eur.nl
OI Volker, Leentje/0000-0003-2766-3763; Kuitert, Lizet/0000-0002-2799-1305
FU BEGIN project-Interreg VB North Sea Region Programme; Dutch Construction
   Client Forum; BEGIN project-Interreg VB North Sea Region Programme;
   Dutch Construction Client Forum
FX This research was made possible through the BEGIN project-Interreg VB
   North Sea Region Programme and The Dutch Construction Client Forum
CR Björkman L, 2018, INT J URBAN REGIONAL, V42, P244, DOI 10.1111/1468-2427.12528
   Boyd D, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103563
   Butler D, 2017, GLOB CHALL, V1, P63, DOI 10.1002/gch2.1010
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Cejudo GM, 2017, POLICY SCI, V50, P745, DOI 10.1007/s11077-017-9281-5
   Christensen T, 2007, PUBLIC ADMIN REV, V67, P1059, DOI 10.1111/j.1540-6210.2007.00797.x
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Coenen TBJ, 2023, CONSTR MANAG ECON, V41, P22, DOI 10.1080/01446193.2022.2151024
   Deletic A, 2020, BLUE-GREEN SYST, V2, P186, DOI 10.2166/bgs.2020.002
   Eriksson PE, 2013, INT J PROJ MANAG, V31, P333, DOI 10.1016/j.ijproman.2012.07.005
   Farrelly M, 2011, GLOBAL ENVIRON CHANG, V21, P721, DOI 10.1016/j.gloenvcha.2011.01.007
   FLYVBJERG B, 2006, QUAL INQ, V12, P219, DOI DOI 10.1177/1077800405284363
   Hedborg S, 2024, CONSTR MANAG ECON, V42, P116, DOI 10.1080/01446193.2023.2181367
   Hennink M., 2011, Qualitative research methods
   Hobday M, 1998, RES POLICY, V26, P689, DOI 10.1016/S0048-7333(97)00044-9
   Jones K, 2022, CONSTR MANAG ECON, V40, P918, DOI 10.1080/01446193.2021.1983187
   Jorgensen TH, 2006, J CLEAN PROD, V14, P713, DOI 10.1016/j.jclepro.2005.04.005
   Karr P.M., 2018, J ENTREPRENEURIAL OR, V7, P37, DOI DOI 10.5947/JEOD.2018.003
   Keast R., 2007, INT PUBLIC MANAG J, V10, P9, DOI [10.1080/10967490601185716, DOI 10.1080/10967490601185716]
   Khan A, 2018, CLIM POLICY, V18, P14, DOI 10.1080/14693062.2016.1228520
   Kiparsky M, 2013, ENVIRON ENG SCI, V30, P395, DOI 10.1089/ees.2012.0427
   Kuitert L, 2022, FRONT SUSTAIN CITIES, V4, DOI 10.3389/frsc.2022.885951
   Kuitert L, 2023, PROJ MANAG J, V54, P19, DOI 10.1177/87569728221127958
   Kuitert L, 2019, CONSTR MANAG ECON, V37, P257, DOI 10.1080/01446193.2018.1515496
   Martinsuo M, 2019, INT J PROJ MANAG, V37, P631, DOI 10.1016/j.ijproman.2019.01.011
   Molenveld A, 2020, CLIMATIC CHANGE, V162, P233, DOI 10.1007/s10584-020-02683-9
   Moore M.H., 2000, NONPROF VOLUNT SEC Q, V29, P183, DOI [DOI 10.1177/089976400773746391, DOI 10.1177/0899764000291S009]
   Naderpajouh Nader, 2018, Environment Systems & Decisions, V38, P306, DOI 10.1007/s10669-018-9704-7
   Nieuwenhuis E, 2022, CITIES, V126, DOI 10.1016/j.cities.2022.103659
   Pel B, 2020, RES POLICY, V49, DOI 10.1016/j.respol.2020.104080
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Rijke J, 2013, ENVIRON SCI POLICY, V25, P62, DOI 10.1016/j.envsci.2012.09.012
   Sorup HJD, 2019, BLUE-GREEN SYST, V1, P102, DOI 10.2166/bgs.2019.922
   Stafford-Smith Mark, 2017, Sustain Sci, V12, P911, DOI 10.1007/s11625-016-0383-3
   Stewart J, 2009, PUBLIC POLICY VALUES, P33
   Stoker G, 2006, AM REV PUBLIC ADM, V36, P41, DOI 10.1177/0275074005282583
   Svensson, 2022, CONSTRUCTION MANAGEM, P343
   Thacher D, 2004, GOVERNANCE, V17, P457, DOI 10.1111/j.0952-1895.2004.00254.x
   Tosun J, 2017, POLICY STUD-UK, V38, P553, DOI 10.1080/01442872.2017.1339239
   van Broekhoven S, 2015, ENVIRON PLANN C, V33, P1005, DOI 10.1177/0263774X15605927
   Visser W., 2018, AMS SUSTAINABLE TRAN
   Vosman L, 2023, CONSTR MANAG ECON, V41, P457, DOI 10.1080/01446193.2023.2165695
   Wamsler C, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119154
   Whyte JK, 2003, BUILD RES INF, V31, P387, DOI 10.1080/0961321032000107537
   Willems JJ, 2020, URBAN PLAN, V5, P22, DOI 10.17645/up.v5i1.2613
   Williams KJH, 2020, ECOL SOC, V25, DOI 10.5751/ES-11987-250431
   Yin R.K., 1994, Case study research: Design and methods
NR 47
TC 5
Z9 5
U1 4
U2 11
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0144-6193
EI 1466-433X
J9 CONSTR MANAG ECON
JI Constr. Manag. Econ.
PD FEB 1
PY 2024
VL 42
IS 2
SI SI
BP 184
EP 200
DI 10.1080/01446193.2023.2264969
EA OCT 2023
PG 17
WC Business
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics
GA GP3Y6
UT WOS:001088417100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Ahmed, I
   van Esch, M
   Van der Hoeven, F
AF Ahmed, Istiaque
   van Esch, Marjolein
   Van der Hoeven, Frank
TI Heatwave vulnerability across different spatial scales: Insights from
   the Dutch built environment
SO URBAN CLIMATE
LA English
DT Article
DE Heatwave hazard; Vulnerability; Built environment; The Netherlands
ID URBAN HEAT; CLIMATE ADAPTATION; THERMAL COMFORT; ISLAND; HEALTH;
   TEMPERATURE; GREEN; ROTTERDAM; IMPACT; RISK
AB Heatwaves in urbanized areas, even in temperate regions like the Netherlands, are getting serious attention. The Royal Netherlands Meteorological Institute predicts more frequent and intense heat events in the future. Studies have explored how Dutch cities contribute to heatwaves and suggested design and planning responses to mitigate their effects. However, a review of heatwave research in the Netherlands specifically focusing on the built environment has hardly been reported in the literature. This study aims to provide such a review utilizing the vulnerability framework. Following the PRISMA protocol, 57 articles are analysed based on the components of exposure, sensitivity, and adaptive capacity within the vulnerability framework. Subsequently, findings have been classified into five built environment scales - block, neighbourhood, district, city, and region - to critically reflect upon the extent to which the studies address various vulnerability components and the specific scales they primarily focus on. Results demonstrate that most of the studies concentrate on the hazard itself and its spatial distribution from a macro perspective on a city and regional scale. The review underlines the necessity of micro-level research on the phenomena, incorporating people's everyday experiences and resilience during heat events to find context-specific adaptation and mitigation strategies.
C1 [Ahmed, Istiaque; van Esch, Marjolein; Van der Hoeven, Frank] Delft Univ Technol, Delft, Netherlands.
   [Ahmed, Istiaque] Delft Univ Technol TU Delft, Fac Architecture & Built Environm, Dept Urbanism, Delft, Netherlands.
C3 Delft University of Technology; Delft University of Technology
RP Ahmed, I (corresponding author), Delft Univ Technol TU Delft, Fac Architecture & Built Environm, Dept Urbanism, Delft, Netherlands.
EM A.Ahmed-1@tudelft.nl
RI Ahmed, Istiaque/JDV-4833-2023; van der Hoeven, Franklin/C-7228-2011
OI Ahmed, Istiaque/0000-0003-0928-6351; van Esch,
   Marjolein/0000-0002-8446-5555; van der Hoeven, Frank/0000-0001-9308-0828
CR Acosta MP, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102948
   Acosta-Michlik L., 2008, ASSESSING VULNERABIL, P147
   Amengual A, 2014, GLOBAL PLANET CHANGE, V119, P71, DOI 10.1016/j.gloplacha.2014.05.006
   AMS Institute, 2020, 100 YEARS DUTCH SUMM
   [Anonymous], 2022, NL Times
   Aubrecht C, 2013, ENVIRON INT, V56, P65, DOI 10.1016/j.envint.2013.03.005
   Augusto B, 2020, SUSTAIN CITIES SOC, V57, DOI 10.1016/j.scs.2020.102122
   Beckmann SK, 2021, HUM SOC SCI COMMUN, V8, DOI 10.1057/s41599-021-00907-6
   Bhattacharjee S., 2019, IOP Conference Series: Earth and Environmental Science, V290, DOI 10.1088/1755-1315/290/1/012162
   Boezeman D, 2016, FUTURES, V76, P30, DOI 10.1016/j.futures.2015.07.008
   Buzási A, 2022, URBAN CLIM, V42, DOI 10.1016/j.uclim.2022.101127
   Cabrera AN, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.673937
   Carbon Disclosure Project (CDP), 2021, CIT ROUT 2030
   CBS (Dutch Centraal Bureau voor de Statistiek), 2006, JULY HEAT CAUS 1000
   Centre for Research on the Epidemiology of Disasters (CRED), 2007, ANN DISASTER STAT RE, P31
   Claessens J, 2014, SCI TOTAL ENVIRON, V485, P776, DOI 10.1016/j.scitotenv.2014.02.120
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   de Groot-Reichwein MAM, 2018, MITIG ADAPT STRAT GL, V23, P169, DOI 10.1007/s11027-015-9669-5
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Dirksen M, 2019, URBAN CLIM, V30, DOI 10.1016/j.uclim.2019.100498
   Erickson B., 2001, APPROACHING URBAN DE, P3
   Essa W, 2013, INT J APPL EARTH OBS, V23, P95, DOI 10.1016/j.jag.2012.12.007
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Finesso A, 2022, TUNN UNDERGR SP TECH, V128, DOI 10.1016/j.tust.2022.104619
   Founda D, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11407-6
   Fung CKW, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101858
   García-León D, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26050-z
   Golroudbary VR, 2018, CLIM RES, V75, P95, DOI 10.3354/cr01512
   Graça M, 2022, URBAN CLIM, V42, DOI 10.1016/j.uclim.2022.101126
   Gromke C, 2015, BUILD ENVIRON, V83, P11, DOI 10.1016/j.buildenv.2014.04.022
   Hansen A, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-550
   Hatvani-Kovacs G, 2016, SCI TOTAL ENVIRON, V571, P603, DOI 10.1016/j.scitotenv.2016.07.028
   Hintz MJ, 2018, URBAN CLIM, V24, P714, DOI 10.1016/j.uclim.2017.08.011
   Hop MECM, 2013, ACTA HORTIC, V990, P475
   Howe PD, 2019, P NATL ACAD SCI USA, V116, P6743, DOI 10.1073/pnas.1813145116
   Huiskamp A., 2022, ZOMER 2022 JUNI JULI
   Icaza LE, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9050677
   Icaza LE, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040320
   Inostroza L, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0162464
   Kalisa E, 2018, SUSTAIN CITIES SOC, V43, P111, DOI 10.1016/j.scs.2018.08.033
   Kjellstrom T, 2016, ANNU REV PUBL HEALTH, V37, P97, DOI 10.1146/annurev-publhealth-032315-021740
   Kleerekoper L, 2015, SMART SUSTAIN BUILT, V4, P110, DOI 10.1108/SASBE-08-2014-0045
   Kleerekoper L, 2012, RESOUR CONSERV RECY, V64, P30, DOI 10.1016/j.resconrec.2011.06.004
   Klok EJ, 2018, URBAN CLIM, V23, P342, DOI 10.1016/j.uclim.2016.10.005
   Klok L, 2019, INT J BIOMETEOROL, V63, P129, DOI 10.1007/s00484-018-1644-x
   Klok L, 2012, RESOUR CONSERV RECY, V64, P23, DOI 10.1016/j.resconrec.2012.01.009
   KNMI, 2021, KNMI CLIM SIGNAL21 R
   Koomen E, 2017, MITIG ADAPT STRAT GL, V22, P287, DOI 10.1007/s11027-015-9646-z
   Koopmans S, 2020, BUILD ENVIRON, V181, DOI 10.1016/j.buildenv.2020.106984
   Koopmans S, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9090353
   Lenzholzer S, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100705
   Lenzholzer S, 2020, URBAN CLIM, V33, DOI 10.1016/j.uclim.2020.100667
   Li D, 2013, J APPL METEOROL CLIM, V52, P2051, DOI 10.1175/JAMC-D-13-02.1
   Logan TM, 2020, REMOTE SENS ENVIRON, V247, DOI 10.1016/j.rse.2020.111861
   Mac VVT, 2017, J NURS SCHOLARSHIP, V49, P617, DOI 10.1111/jnu.12327
   Maiullari D, 2021, URBAN PLAN, V6, P240, DOI 10.17645/up.v6i3.4223
   Marx W, 2021, THEOR APPL CLIMATOL, V146, P781, DOI 10.1007/s00704-021-03758-y
   Mashhoodi B, 2021, URBAN CLIM, V40, DOI 10.1016/j.uclim.2021.101004
   Mashhoodi B, 2021, SUSTAIN CITIES SOC, V68, DOI 10.1016/j.scs.2021.102810
   Mashhoodi B, 2020, APPL GEOGR, V114, DOI 10.1016/j.apgeog.2019.102125
   Mees HLP, 2015, REG ENVIRON CHANGE, V15, P1065, DOI 10.1007/s10113-014-0681-1
   Mitchell BC, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/115005
   Mora C, 2017, NAT CLIM CHANGE, V7, P501, DOI [10.1038/nclimate3322, 10.1038/NCLIMATE3322]
   Oke TR, 1987, BOUNDARY LAYER CLIMA, DOI [10.4324/9780203407219, DOI 10.4324/9780203407219]
   Overeem A, 2013, GEOPHYS RES LETT, V40, P4081, DOI 10.1002/grl.50786
   Painter J, 2021, CLIMATIC CHANGE, V169, DOI 10.1007/s10584-021-03222-w
   Perkins-Kirkpatrick SE, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16970-7
   Piracha A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159234
   Rafiee A, 2016, URBAN FOR URBAN GREE, V16, P50, DOI 10.1016/j.ufug.2016.01.008
   Ramponi R, 2014, ENERG BUILDINGS, V78, P25, DOI 10.1016/j.enbuild.2014.04.001
   Reckien D, 2017, ENVIRON URBAN, V29, P159, DOI 10.1177/0956247816677778
   Reddy PJ, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001924
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Santamouris M, 2015, ENERG BUILDINGS, V98, P119, DOI 10.1016/j.enbuild.2014.09.052
   Schär C, 2004, NATURE, V427, P332, DOI 10.1038/nature02300
   Solcerova A, 2017, BUILD ENVIRON, V111, P249, DOI 10.1016/j.buildenv.2016.10.021
   Stache E, 2022, BUILD ENVIRON, V213, DOI 10.1016/j.buildenv.2021.108489
   Steeneveld GJ, 2014, LANDSCAPE URBAN PLAN, V121, P92, DOI 10.1016/j.landurbplan.2013.09.001
   Steeneveld GJ, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2011JD015988
   Steeneveld GJ, 2018, RESOUR CONSERV RECY, V132, P204, DOI 10.1016/j.resconrec.2016.12.002
   Taleghani M, 2015, BUILD ENVIRON, V83, P65, DOI 10.1016/j.buildenv.2014.03.014
   Taleghani M, 2014, SOL ENERGY, V103, P108, DOI 10.1016/j.solener.2014.01.033
   Tennekes J, 2014, J ENVIRON POL PLAN, V16, P241, DOI 10.1080/1523908X.2013.836961
   Theeuwes NE, 2014, Q J ROY METEOR SOC, V140, P2197, DOI 10.1002/qj.2289
   Theeuwes NE, 2013, J GEOPHYS RES-ATMOS, V118, P8881, DOI 10.1002/jgrd.50704
   Theeuwes NE, 2017, INT J CLIMATOL, V37, P443, DOI 10.1002/joc.4717
   Timmermans W., 2017, TOWN REG PLAN, V71, DOI [10.18820/2415-0495/trp71i1.3, DOI 10.18820/2415-0495/TRP71I1.3]
   Tong SL, 2015, ENVIRON RES, V142, P696, DOI 10.1016/j.envres.2015.09.009
   Toparlar Y, 2015, BUILD ENVIRON, V83, P79, DOI 10.1016/j.buildenv.2014.08.004
   Tranfield D, 2003, BRIT J MANAGE, V14, P207, DOI 10.1111/1467-8551.00375
   van den Hurk B., 2014, WR201401 ROYAL NETH
   Van der Hoeven F, 2018, URBANI IZZIV, V29, P58, DOI 10.5379/urbani-izziv-en-2018-29-01-001
   van der Hoeven F, 2015, BUILD SERV ENG RES T, V36, P67, DOI 10.1177/0143624414541451
   van Hove LWA, 2015, BUILD ENVIRON, V83, P91, DOI 10.1016/j.buildenv.2014.08.029
   van Oorschot J, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104195
   Wang RA, 2022, ENVIRON POLLUT, V314, DOI 10.1016/j.envpol.2022.120256
   Webster J, 2002, MIS QUART, V26, pXIII
   Wilhelmi OV, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014021
   Wong G, 2013, BMC MED, V11, DOI [10.1186/1741-7015-11-20, 10.1186/1741-7015-11-21]
   Xu ZW, 2017, ENVIRON POLLUT, V229, P525, DOI 10.1016/j.envpol.2017.06.030
   Zander KK, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103194
   Zardo L, 2017, ECOSYST SERV, V26, P225, DOI 10.1016/j.ecoser.2017.06.016
   Zhao L, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa9f73
   Zinzi M, 2019, CLIMATE, V7, DOI 10.3390/cli7010015
   ,, 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 105
TC 13
Z9 13
U1 9
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 101614
DI 10.1016/j.uclim.2023.101614
EA AUG 2023
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA Q7TB6
UT WOS:001059500700001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Ankrah, DA
   Kwapong, NA
   Boateng, SD
AF Ankrah, Daniel Adu
   Kwapong, Nana Afranaa
   Boateng, Seth Dankyi
TI Indigenous knowledge and science-based predictors reliability and its
   implication for climate adaptation in Ghana
SO AFRICAN JOURNAL OF SCIENCE TECHNOLOGY INNOVATION & DEVELOPMENT
LA English
DT Article
DE indigenous knowledge; climate variability; climate change; smallholder
   farmers; science-based predictors
ID ADAPTIVE CAPACITY; FARMER; VARIABILITY; IMPACTS; SYSTEMS
AB The study examined the reliability of indigenous knowledge and science-based predictors of climate and how this influences smallholder farmers' practices and adaptations in Ghana's three regions (Northern, Western and Volta regions). Two districts were selected in each region: Builsa South and Zabzugu in Northern Region, Swefi Wiaso and Jomoro in Western Region, and Agotime-Ziope and Ketu North in Volta Region. The study employed purposive sampling involving 240 respondents. The findings show indigenous predictors of climate include the emergence of migratory birds, the direction of cloud formation, sun intensity, frog croaks and sprouting of new leaves on Emire, Shea, Tarmeranda and Baobab trees. An indigenous knowledge reliability index of 0.72 relative to 0.88 for science-based predictors was obtained, implying that both indigenous knowledge and science-based predictors are reliable indicators for forecasting weather. Indigenous knowledge and science-based predictors influence adaptation strategies through the cultivation of indigenous varieties, early or late planting, diversification of crops cultivated and the use of improved crop and drought-tolerant varieties. Governments in sub-Saharan Africa can consider tasking meteorological stations to harness indigenous and science-based predictors in daily forecasts towards adaptation and mitigation strategies.
C1 [Ankrah, Daniel Adu; Kwapong, Nana Afranaa; Boateng, Seth Dankyi] Univ Ghana, Sch Agr, Coll Basic & Appl Sci CBAS, Dept Agr Extens, Accra, Ghana.
C3 University of Ghana
RP Kwapong, NA (corresponding author), Univ Ghana, Sch Agr, Coll Basic & Appl Sci CBAS, Dept Agr Extens, Accra, Ghana.
EM nkwapong@ug.edu.gh
RI ; Ankrah, Daniel/ABC-9929-2021
OI Kwapong, Nana Afranaa/0000-0002-0225-6101; Ankrah,
   Daniel/0000-0001-9360-0854
CR Abdul-Razak M, 2017, CLIM RISK MANAG, V17, P104, DOI 10.1016/j.crm.2017.06.001
   Adams H., 2013, CHANGING PLACES MIGR
   Addo KA, 2011, REMOTE SENS-BASEL, V3, P2029, DOI 10.3390/rs3092029
   Ajani EN., 2013, Asian J Agric Ext Econ Soc, DOI [10.9734/ajaees/2013/1856, DOI 10.9734/AJAEES/2013/1856]
   Akinola R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12083493
   Aniah P, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e01492
   Ankrah DA, 2020, SCI AFR, V10, DOI 10.1016/j.sciaf.2020.e00604
   Ankrah DA, 2022, J AGRIC EDUC EXT, V28, P255, DOI 10.1080/1389224X.2021.1915828
   Ankrah DanielAdu, 2014, THESIS SCH AGR POL
   [Anonymous], 2013, INF MANAG BUS REV, DOI [10.22610/imbr.v5i5.1047, DOI 10.22610/IMBR.V5I5.1047]
   Arnall A, 2013, DISASTERS, V37, P468, DOI 10.1111/disa.12003
   Asare-Nuamah P, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e03065
   Assan E, 2020, J ARID ENVIRON, V182, DOI 10.1016/j.jaridenv.2020.104247
   Babbie E., 2016, The Basics of Social Research,, V7
   Bardsley D. K., 2018, Encyclopedia of the Anthropocene, Elsevier, P359
   Belfer E, 2017, CLIMATIC CHANGE, V145, P57, DOI 10.1007/s10584-017-2076-z
   Bharara L. P., 1994, Internationales Asienforum, V25, P53
   Boetto H, 2013, AUST SOC WORK, V66, P234, DOI 10.1080/0312407X.2013.780630
   Chepkoech W, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100204
   Codjoe SNA, 2014, REG ENVIRON CHANGE, V14, P369, DOI 10.1007/s10113-013-0500-0
   Derbile EK, 2013, INT J CLIM CHANG STR, V5, P71, DOI 10.1108/17568691311299372
   Devkota KP, 2016, EUR J AGRON, V80, P154, DOI 10.1016/j.eja.2016.08.003
   Ellen R., 1996, CONCEPTS INDIGENOUS
   Etikan I., 2016, American Journal of Theoretical and Applied Statistics, V5, P1, DOI DOI 10.11648/J.AJTAS.20160501.11
   Fairhead J, 2017, INDIGENOUS KNOWLEDGE: ENHANCING ITS CONTRIBUTION TO NATURAL RESOURCES MANAGEMENT, P99, DOI 10.1079/9781780647050.0099
   Ford J, 2016, CLIMATIC CHANGE, V139, P429, DOI 10.1007/s10584-016-1820-0
   Frank J., 2012, Small-scale farmers and climate change: How can farmer organisations and Fairtrade build the adaptive capacity of smallholders?
   Garner R., 2013, Doing qualitative research: designs, methods, and techniques
   Guest G, 2017, INT J SOC RES METHOD, V20, P693, DOI 10.1080/13645579.2017.1281601
   Gupta A. K., 2016, J. Open Innov.: Technol. Mark. Complex, V2, P1, DOI [10.1186/s40852-016-0038-8, DOI 10.1186/S40852-016-0038-8]
   Guthiga P, 2011, IDS BULL-I DEV STUD, V42, P104, DOI 10.1111/j.1759-5436.2011.00228.x
   Gyampoh B. A., 2009, Unasylva (English ed.), V60, P70
   Gyampoh BA., 2011, Africa Adaptation Programme Rep
   Gyasi EA, 2018, SCI SUSTAIN SOC, P291, DOI 10.1007/978-981-10-4796-1_16
   Hancock ME, 2016, QUAL REP, V21
   Handmer J, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P231
   Hashimov E., 2015, Qualitative Data Analysis: A Methods Sourcebook and The Coding Manual for Qualitative Researchers
   Hill R, 2020, CURR OPIN ENV SUST, V43, P8, DOI 10.1016/j.cosust.2019.12.006
   Houghton Catherine, 2013, Nurse Res, V20, P12
   Jonzén N, 2007, P ROY SOC B-BIOL SCI, V274, P269, DOI 10.1098/rspb.2006.3719
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Kwapong NA, 2020, QUAL REP, V25, P2011
   Macherera M, 2017, ACTA TROP, V175, P50, DOI 10.1016/j.actatropica.2016.08.021
   Makondo C.C., 2014, American Journal of Climate Change, V3, P388, DOI DOI 10.4236/AJCC.2014.34034
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Martey E, 2021, ECOL ECON, V180, DOI 10.1016/j.ecolecon.2020.106870
   McDonell N., 2016, The Civilization of Perpetual Movement: Nomads in the Modern World
   Miles M. B., 2014, Qualitative Data Analysis: a Methods Sourcebook
   Nielsen M, 2017, J EXP CHILD PSYCHOL, V162, P31, DOI 10.1016/j.jecp.2017.04.017
   Nyantakyi-Frimpong H., 2013, Indigenous Knowledge and Climate Adaptation Policy in Northern Ghana
   Nyumba TO, 2018, METHODS ECOL EVOL, V9, P20, DOI 10.1111/2041-210X.12860
   Onyango E., 2014, Proceedings of Sustainable Research and Innovation Conference, V4, P187
   Orlove B, 2010, CLIMATIC CHANGE, V100, P243, DOI 10.1007/s10584-009-9586-2
   Pandey R, 2018, ECOL INDIC, V84, P27, DOI 10.1016/j.ecolind.2017.08.021
   Pareek A, 2011, INDIAN J TRADIT KNOW, V10, P183
   Pau S, 2013, NAT CLIM CHANGE, V3, P838, DOI [10.1038/nclimate1934, 10.1038/NCLIMATE1934]
   Sharma J, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab24ed
   Siaw LawrenciaPokuah., 2017, J EARTH SCI CLIMATIC, V8, P1, DOI [10.4172/2157-7617.1000431, DOI 10.4172/2157-7617.1000431]
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith VH, 2012, APPL ECON PERSPECT P, V34, P363, DOI 10.1093/aepp/pps029
   Stringer LC, 2009, ENVIRON SCI POLICY, V12, P748, DOI 10.1016/j.envsci.2009.04.002
   Tambo JA, 2020, J RURAL STUD, V74, P133, DOI 10.1016/j.jrurstud.2020.01.004
   Taremwa NK, 2022, AFR J SCI TECHNOL IN, V14, P204, DOI 10.1080/20421338.2020.1821948
   Tharakan J, 2015, AFR J SCI TECHNOL IN, V7, P364, DOI 10.1080/20421338.2015.1085176
   Theodory TF., 2016, Dealing with change: indigenous knowledge and adaptation to climate change in the Ngono River Basin, Tanzania
   Theodory TF, 2021, AFR J SCI TECHNOL IN, V13, P51, DOI 10.1080/20421338.2020.1816615
   van Gevelt T, 2019, GLOBAL ENVIRON CHANG, V58, DOI 10.1016/j.gloenvcha.2019.101974
   Wang ZQ, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101309
   Whitfield S, 2016, PATHWAY SUSTAIN, P1
   Yaro JA, 2013, REG ENVIRON CHANGE, V13, P1259, DOI 10.1007/s10113-013-0443-5
NR 70
TC 18
Z9 18
U1 1
U2 5
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 JUN 7
PY 2022
VL 14
IS 4
BP 1007
EP 1019
DI 10.1080/20421338.2021.1923394
EA JUN 2021
PG 13
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA 3I3IG
UT WOS:000670527100001
DA 2025-01-10
ER

PT J
AU Chi, CF
   Lu, SY
   Lee, JD
AF Chi, Chia-Fa
   Lu, Shiau-Yun
   Lee, Jeng-Di
TI Ostensibly Effective Adaptive Measures Could Potentially Be
   Maladaptations: A Case Study of the Jiadung Coastal Area, Pingtung
   County, Taiwan
SO COASTAL MANAGEMENT
LA English
DT Article
DE adaptive measures; climate adaptation; coastal subsidence area; extreme
   rainfall events; maladaptation
ID CLIMATE-CHANGE; SUSTAINABLE ADAPTATION; RISK; FRAMEWORK; VULNERABILITY;
   RESILIENCE; FLOOD; WATER; AGRICULTURE; STRATEGIES
AB Extreme rainfall events have a negative effect on the coastal area of Jiadung Township in Pingtung County, Taiwan, which experiences critical land subsidence. Local stakeholders have developed various measures for coping with flooding impacts according to past experience. These adaptive measures not only involve managing the impact of heavy rainfall but also resisting the disastrous effects of land subsidence. However, in 2009, Typhoon Morakot caused multiple days of intense rainfall and nearly rendered ineffective the adaptive measures employed to prevent damage. Stakeholders adopt diverse measures according to different needs and vulnerabilities. Consequently, some adaptive measures are likely to cause an increase in the vulnerability of different sectors and induce additional socioeconomic impacts. This paper presents the results of a semistructured questionnaire and field survey conducted for analyzing the adaptive measures adopted by local stakeholders before and after Typhoon Morakot. According to the routes and pathways of maladaptation in the Jiadung coastal area, this study analyzed the main adaptive measures and functions as well as identified the entities affected by maladaptation. Furthermore, this study emphasizes a bottom-up viewpoint for adaptation policy decision makers.
C1 [Chi, Chia-Fa; Lu, Shiau-Yun] Natl Sun Yat Sen Univ, Coll Marine Sci, Dept Marine Environm & Engn, Kaohsiung, Taiwan.
   [Lee, Jeng-Di] Maritime, Kaohsiung, Taiwan.
C3 National Sun Yat Sen University
RP Lu, SY (corresponding author), Natl Sun Yat Sen Univ, Coll Marine Sci, Dept Marine Environm & Engn, Kaohsiung, Taiwan.
EM shiauyun@faculty.nsysu.edu.tw
CR Abunnasr Y, 2015, J ENVIRON PLANN MAN, V58, P135, DOI 10.1080/09640568.2013.849233
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Alexander LV, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P3
   Andersson-Sköld Y, 2016, INT J DISAST RISK SC, V7, P374, DOI 10.1007/s13753-016-0106-5
   [Anonymous], 2012, SPECIAL REPORT WORKI
   [Anonymous], 2011, POLICY RES WORKING P, DOI DOI 10.1596/1813-9450-5568
   [Anonymous], 2004, ECOLOGY SOC, DOI DOI 10.5751/ES-00650-090205
   [Anonymous], 2009, INT CLIM CHANG AD DE
   [Anonymous], 2007, UN FRAMEWORK CONVENT
   [Anonymous], 2010, AD IMP CLIM CHANG AM
   Antoci A, 2019, ENVIRON DEV ECON, V24, P643, DOI 10.1017/S1355770X19000251
   Barnett J., 2013, CLIMATE ADAPTATION F
   Barnett J, 2012, NAT CLIM CHANGE, V2, P8, DOI 10.1038/nclimate1334
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Barnett Jon., 2013, SUCCESSFUL ADAPTATIO, P37
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Brown K, 2011, CLIM DEV, V3, P21, DOI 10.3763/cdev.2010.0062
   Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618
   Central Weather Bureau, 2017, TYPH DAT
   Chiang YC, 2016, J MAR SCI TECH-TAIW, V24, P1081, DOI 10.6119/JMST-016-0928-2
   Christian-Smith J, 2015, SUSTAINABLE WATER: CHALLENGES AND SOLUTIONS FROM CALIFORNIA, P108
   Council of Agriculture, 2009, AGR LOSS CAUS TYPH M
   CWB, 2009, STAT CLIM CHANG TAIW
   CWB (Central Weather Bureau), 2011, CLIM STAT
   Dhakal SP, 2014, CONTEMP SOUTH ASIA, V22, P290, DOI 10.1080/09584935.2014.931356
   Directorate-General of Budget Accounting and Statistics, 2009, SPEC BUDG TYPH MOR R
   Dovie DBK, 2017, LAND USE POLICY, V62, P326, DOI 10.1016/j.landusepol.2017.01.008
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Eriksen S, 2011, CLIM DEV, V3, P3, DOI 10.3763/cdev.2010.0064
   Executive Yuan, 2013, CONSTR ACH PHOT IND
   Executive Yuan, 2012, AD PLAN CLIM CHANG P
   Fankhauser S, 2011, CLIM POLICY, V11, P1037, DOI 10.1080/14693062.2011.582389
   Fenton A, 2017, WORLD DEV, V92, P192, DOI 10.1016/j.worlddev.2016.12.004
   Ford J., 2009, INT PUBLIC POLICY RE, V3
   Gemenne F, 2017, GEOGR J, V183, P336, DOI 10.1111/geoj.12205
   Gersonius B, 2012, J WATERW PORT COAST, V138, P386, DOI 10.1061/(ASCE)WW.1943-5460.0000142
   Granberg M, 2014, J ENVIRON POL PLAN, V16, P147, DOI 10.1080/1523908X.2013.823857
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hay JE, 2013, SUSTAIN SCI, V8, P303, DOI 10.1007/s11625-013-0220-x
   Hopkins D, 2014, J SUSTAIN TOUR, V22, P107, DOI 10.1080/09669582.2013.804830
   Jiadung Township Administration, 2014, CHAR AGR PROD
   Jones L., 2015, WORKING DISCUSSION P
   Jones L., 2010, Towards a characterization of adaptive capacity: A framework for analyzing adaptive capacity at the local level
   Jones R. N., 2013, Valuing adaptation under rapid change
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Klein RJT, 2014, ENVIRON SCI POLICY, V40, P101, DOI 10.1016/j.envsci.2014.01.011
   Kopytko N, 2016, CLIM POLICY, V16, P68, DOI 10.1080/14693062.2014.979131
   Laves G, 2014, REG ENVIRON CHANGE, V14, P449, DOI 10.1007/s10113-013-0556-x
   Lukasiewicz A, 2016, CLIMATIC CHANGE, V138, P641, DOI 10.1007/s10584-016-1755-5
   Magnan A., 2014, S.A.P.I.EN.S, V7
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Maru YT, 2014, GLOBAL ENVIRON CHANG, V28, P337, DOI 10.1016/j.gloenvcha.2013.12.007
   McDowell J.Z., 2010, ADAPTATION MALADAPTA
   McEvoy J, 2012, GLOBAL ENVIRON CHANG, V22, P353, DOI 10.1016/j.gloenvcha.2011.11.001
   Mendelsohn R, 2012, NAT CLIM CHANGE, V2, P205, DOI 10.1038/NCLIMATE1357
   Ministry of the Interior, 2006, REP HOUD STAT SURV
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Müller B, 2017, GLOBAL ENVIRON CHANG, V46, P23, DOI 10.1016/j.gloenvcha.2017.06.010
   Mycoo MA, 2014, URBAN CLIM, V9, P134, DOI 10.1016/j.uclim.2014.07.009
   Neset TS, 2019, CLIMATIC CHANGE, V153, P107, DOI 10.1007/s10584-019-02391-z
   Neset TS, 2019, CLIM RISK MANAG, V23, P78, DOI 10.1016/j.crm.2018.12.003
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Pingtung County Government, 2017, DEM PINGT COUNT
   Pingtung County Government, 2016, STAT REP 2014
   Pingtung County Government, 2013, OP ACH DIS RES COMM
   Pritchard B, 2014, AUST GEOGR, V45, P325, DOI 10.1080/00049182.2014.930001
   Rickards L, 2012, CROP PASTURE SCI, V63, P240, DOI 10.1071/CP11172
   Schaer C, 2015, INT J CLIM CHANG STR, V7, P534, DOI 10.1108/IJCCSM-03-2014-0038
   Scheraga J. D, 2001, COPING CLIMATE CHANG
   Scheraga JD, 1998, CLIMATE RES, V11, P85, DOI 10.3354/cr011085
   Smith AM., 2014, ELECT J, V27, P112, DOI [10.1016/j.tej.2014.10.001, DOI 10.1016/J.TEJ.2014.10.001]
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Thomsen DC, 2012, ECOL SOC, V17, DOI 10.5751/ES-04953-170320
   Trenberth KE, 2012, CLIMATIC CHANGE, V115, P283, DOI 10.1007/s10584-012-0441-5
   UNEP, 2019, FRONT 2018 2019 EM I
   United Nations Development Programme (UNDP), 2008, HUMAN DEV REPORT 200
   van Voorst R, 2015, ASIAN J SOC SCI, V43, P786, DOI 10.1163/15685314-04306007
   Walker BH, 2009, ECOL SOC, V14
   Wang C. H, 2007, SPECIAL PUBLICATION, V18
   Water Resources Agency, 2011, DIS INF SERV NETW
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Wilbanks ThomasJ., 2007, Mitigation Adaptation Strategy Global Change, V12, P713, DOI DOI 10.1007/S11027-007-9095-4
   Work C, 2019, CLIM POLICY, V19, pS47, DOI 10.1080/14693062.2018.1527677
   World Resources Institute (, 2009, WORK PAP BELL FRAM A
   Yaro JA, 2015, CLIM DEV, V7, P235, DOI 10.1080/17565529.2014.951018
NR 85
TC 2
Z9 2
U1 1
U2 10
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 0892-0753
EI 1521-0421
J9 COAST MANAGE
JI Coast. Manage.
PD AUG 5
PY 2020
VL 48
IS 6
BP 643
EP 676
DI 10.1080/08920753.2020.1803575
EA AUG 2020
PG 34
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA PC2VL
UT WOS:000556085900001
DA 2025-01-10
ER

PT C
AU Zhao, J
   Liu, Y
   Wang, J
   Zhao, YX
AF Zhao, Juan
   Liu, Yu
   Wang, Jin
   Zhao, Yuanxin
BE Jiang, ZY
TI Optimized design of slope roof space of the building based on thermal
   insulation performance analysis
SO PROCEEDINGS OF THE 2017 3RD INTERNATIONAL FORUM ON ENERGY, ENVIRONMENT
   SCIENCE AND MATERIALS (IFEESM 2017)
SE AER-Advances in Engineering Research
LA English
DT Proceedings Paper
CT 3rd International Forum on Energy, Environment Science and Materials
   (IFEESM)
CY NOV 25-26, 2017
CL Shenzhen, PEOPLES R CHINA
DE NingQiang areas in southern Shanxi; slope roof; thermal insulation
   performance; Designbuilder; Optimized design
AB Through the research on the traditional houses and modern rural houses in the Ningqiang area of southern Shaanxi, it is found that the traditional rural houses generally use the storage space under the roof of the slope for summer heat insulation. However, the roof design is generally lack of climate adaptability, and the roof function is "Alienation", the lack of a combination of natural, ecological focus on the overall design. Contemporary rural housing in the early construction of the general use of the flat roof, the latter due to heat insulation, rainfall and other spontaneous demand in the original flat roof plus slope roof. In this paper, the thermal insulation space under the roof roof is selected from the aspects of the thermal insulation space height and the insulation space of the insulation space. And quantitative analysis, based on the improvement of thermal insulation performance, the quantitative method for the slope roof insulation design to provide the necessary data support, summed up the southern Shaanxi Ningqiang slope roof space optimization design strategy. It is of practical significance to the space reconstruction of existing buildings and the spatial design of new farm houses.
C1 [Zhao, Juan; Zhao, Yuanxin] Northwestern Polytech Univ, Sch Mech Civil Engn & Architecture, Xian, Shaanxi, Peoples R China.
   [Liu, Yu; Wang, Jin] Northwestern Polytech Univ, 127 Youyixi Rd, Xian 710072, Peoples R China.
C3 Northwestern Polytechnical University; Northwestern Polytechnical
   University
RP Zhao, J (corresponding author), Northwestern Polytech Univ, Sch Mech Civil Engn & Architecture, Xian, Shaanxi, Peoples R China.
EM 250515319@qq.com; liuyu@nwpu.edu.cn; 364203895@qq.com; 809228273@qq.com
RI Liu, Yu/JCO-7756-2023; zhao, yuanxin/KDO-9377-2024
FU 12th Five-Year Science and Technology Support Program of China
   [2015BAL03B04-2]; Seed Foundation of Innovation and Creation for
   Graduate Students in Northwestern Nontechnical University [Z2017122];
   International Science and Technology Collaboration and Communication
   Program of Shanxi Province [2016KW-031]
FX The research of this paper was sponsored by the Seed Foundation of
   Innovation and Creation for Graduate Students in Northwestern
   Nontechnical University (Z2017122), 2016 International Science and
   Technology Collaboration and Communication Program of Shanxi Province
   (No. 2016KW-031), and the 12th Five-Year Science and Technology Support
   Program of China (2015BAL03B04-2).
CR Bojic M. L., 1997, THERMAL BEHAV BUILDI
   Ji Min, 2008, HOT SUMMER COLD WINT
   Wu Chenchen, 2012, METHOD DETERMINING H
   Zhou Peng, 2004, DESIGN STRATEGIES RE
NR 4
TC 0
Z9 0
U1 0
U2 0
PU ATLANTIS PRESS
PI PARIS
PA 29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
SN 2352-5401
BN 978-94-6252-453-8
J9 AER ADV ENG RES
PY 2017
VL 120
BP 469
EP 475
PG 7
WC Energy & Fuels; Engineering, Chemical; Materials Science,
   Multidisciplinary
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Energy & Fuels; Engineering; Materials Science
GA BJ6LN
UT WOS:000426813400090
DA 2025-01-10
ER

PT J
AU Rutty, M
   Scott, D
   Steiger, R
   Johnson, P
AF Rutty, M.
   Scott, D.
   Steiger, R.
   Johnson, P.
TI Weather risk management at the Olympic Winter Games
SO CURRENT ISSUES IN TOURISM
LA English
DT Article
DE climate; Olympic Winter Games; Olympics; adaptation; weather
AB The globally celebrated Olympic Winter Games (OWG) are highly dependent on suitable snow and ice conditions to support elite-level competitions. To determine the range of weather impacts on the Games, this study examines the official Olympic post-Games reports from 1924 to 2010. Impacts include preparations for the Games, holding outdoor opening-closing ceremonies, outdoor sporting competitions, spectator comfort, transportation, and television broadcasts. The study also examines the range of historical adaptations that have developed to manage weather risks at the OWG. Three adaptation eras are identified, spanning the history of the games: emergent adaptation, technological transition, and advanced adaptation. Analysis reveals that while weather-induced impacts have always been a part of the Games, these impacts would be far greater if not for technical climatic adaptations. With the average daytime temperature of host locations steadily increasing from 0.4 degrees C at the Games held in the 1920-1950s to 7.8 degrees C at the Games held in the twenty-first century, it would be difficult to imagine recent host cities/regions successfully delivering the diverse Games programme exclusively on natural ice and snow. The connection between the evolving needs for weather risk management strategies by Olympic organisers and the growth of the Olympics in size and scope is also discussed.
C1 [Rutty, M.; Scott, D.; Johnson, P.] Univ Waterloo, Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
   [Steiger, R.] MCI Tourism Business Studies, Innsbruck, Austria.
C3 University of Waterloo
RP Scott, D (corresponding author), Univ Waterloo, Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
EM daniel.scott@uwaterloo.ca
RI Steiger, Robert/D-4796-2019; Scott, Daniel/AAB-6190-2020; Johnson,
   Peter/E-9785-2011; Rutty, Michelle/GPX-7857-2022; Steiger,
   Robert/N-5724-2014
OI Steiger, Robert/0000-0002-1752-6450; Rutty,
   Michelle/0000-0002-4567-7766; Johnson, Peter/0000-0003-4572-2915; Scott,
   Daniel/0000-0001-7825-9301
CR Albertville, 1992, OFFICIAL REPORT 16 1
   Albertville, 1992, OFFICIAL REPORT 16 3
   Albertville, 1992, OFFICIAL REPORT 16 2
   [Anonymous], 1984, DAILY TIMES     0125
   [Anonymous], 2010, VANCOUVER 2010 SUSTA
   [Anonymous], 1984, SARAJEVO 84
   [Anonymous], OL MARK FACT FIL
   Calgary, 1988, 15 OLYMPIC WINTER 1
   Calgary, 1988, 15 OLYMPIC WINTER 2
   Chamonix, 1924, 8 ME OLYMPIADE 3
   Chamonix, 1924, 8 ME OLYMPIADE 2
   Chamonix, 1924, 8 ME OLYMPIADE 1
   COMITATO OLIMPICO NAZIONALE ITALIANO, 1956, 7 GIOCHI OLIMPICI IN
   Garcia B., 2008, International Journal of Cultural Policy, V14, P361, DOI 10.1080/10286630802445849
   Garmisch-Partenkirchen, 1936, 4 OLYMPISCHE WINTE 2
   Garmisch-Partenkirchen, 1936, 4 OLYMPISCHE WINTE 1
   Grenoble, 1968, 10 WINTER OLYMPIC GA
   Innsbruck, 1976, ENDERICHT REPPORT 1
   Innsbruck, 1976, ENDERICHT RAPPORT 2
   Kunz H, 2007, METEOROL Z, V16, P171, DOI 10.1127/0941-2948/2007/0183
   Lake Placid, 1932, OFFICIAL REPORT 3 OL
   Lake Placid, 1980, 8 OLYMPIC WINTER G 1
   Lake Placid, 1980, 8 OLYMPIC WINTER G 2
   Lillehammer, 1994, 17 OLYMPIC WINTER 2, V2
   Lillehammer, 1994, 17 OLYMPIC WINTER 1, V2
   Lillehammer, 1994, 17 OLYMPIC WINTER GA, V1
   Lillehammer, 1994, 17 OLYMPIC WINTER 1, V3
   Lillehammer, 1994, 17 OLYMPIC WINTER GA, V4
   Lillehammer, 1994, 17 OLYMPIC WINTER 2, V3
   Nagano, 1998, 18 OLYMPIC WINTER 3, V2
   Nagano, 1998, 18 OLYMPIC WINTER 1, V1
   Nagano, 1998, 8 OLYMPIC WINTER G 2, V2
   Nagano, 1998, 8 OLYMPIC WINTER G 2, V1
   Nagano, 1998, 18 OLYMPIC WINTER GA, V3
   Nagano, 1998, 18 OLYMPIC WINTER 1, V2
   National Broadcasting Company, 2013, NVC UN PROV UNPR COV
   Olympic.org, 2013, OFF WEBS OL MOV
   ORGANISATIONSKOMITEE DER IX OLYMPISCHEN WINTERSPIELE IN INNSBRUCK, 1967, Offizieller Bericht der IX. Olympischen Winterspiele Innsbruck, P9964
   Oslo, 1952, 6 OLYMPISKE VINTERLE
   Rianovosti, 2013, NO SNOW DEF SOCH 201
   Salt Lake City, 2002, OFFICIAL REPORT 1 1, V1
   Salt Lake City, 2002, OFFICIAL REPORT 1 2, V2
   Salt Lake City, 2002, OFFICIAL REPORT 1 2, V1
   Salt Lake City, 2002, OFFICIAL REPORT 1 1, V2
   Sapporo, 1972, 11 OL WINT GAM SAP 1
   Scott D, 2015, CURR ISSUES TOUR, V18, P913, DOI 10.1080/13683500.2014.887664
   Squaw Valley, 1960, 8 OLYMPIC WINTER GAM
   St. Moritz, 1928, RAPPORT GEN COMITE E
   St. Moritz, 1948, RAPPORT GENERALSUR 5
   Steiger R, 2013, TOUR PLAN DEV, V10, P480, DOI 10.1080/21568316.2013.804431
   Turin, 2006, 20 OLYMPIC WINTER 2, V1
   Turin, 2006, 20 OLYMPIC WINTER 1, V1
   Turin, 2006, 20 OLYMPIC WINTER 3, V1
   Turin, 2006, 20 OLYMPIC WINTER 2, V2
   Turin, 2006, 20 OLYMPIC WINTER 1, V2
   Turin, 2006, 20 OLYMPIC WINTER GA, V3
   Turin, 2006, 20 OLYMPIC WINTER GA, V2
   Vancouver, 2010, VANCOUVER 2010 BID R
   Vancouver, 2010, MARKETING REPORT VAN
   Vancouver, 2010, VANCOUVER 2010 STAGI
NR 60
TC 21
Z9 25
U1 1
U2 64
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1368-3500
EI 1747-7603
J9 CURR ISSUES TOUR
JI Curr. Issues Tour.
PD OCT 3
PY 2015
VL 18
IS 10
BP 931
EP 946
DI 10.1080/13683500.2014.887665
PG 16
WC Hospitality, Leisure, Sport & Tourism
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA CQ1PG
UT WOS:000360369500004
DA 2025-01-10
ER

PT J
AU Cendán, C
   Sampedro, L
   Zas, R
AF Cendan, Cesar
   Sampedro, Luis
   Zas, Rafael
TI The maternal environment determines the timing of germination in
   <i>Pinus pinaster</i>
SO ENVIRONMENTAL AND EXPERIMENTAL BOTANY
LA English
DT Article
DE Adaptive traits; Carryover effects; Conifers; Forestry; Long-lived
   plants; Maritime pine; Maternal effects; Seed weight; Seed size;
   Transgenerational plasticity
ID AUTUMN FROST-HARDINESS; MARITIME PINE; REPRODUCTIVE ALLOCATION;
   ARABIDOPSIS-THALIANA; CLIMATIC ADAPTATION; SEED-GERMINATION; DNA
   METHYLATION; TEMPERATURE; SYLVESTRIS; GROWTH
AB Optimizing the germination timing is crucial for the establishment of new generations. We hypothesized that environmental maternal effects may be relevant in the fine tuning of this trait in a long-lived Mediterranean model tree. We analyzed the influence of maternal genotype, maternal environment and their interaction on the germination success and germination phenology of 8725 Pinus pinaster seeds collected from genotypes clonally replicated in two contrasting environments. Besides maternal genetic effects, the maternal environment significantly affected both the percentage and the timing of germination. Seeds from the more favourable environment germinated 7.5 days earlier and showed higher germination rate (0.93 +/- 0.01 vs 0.85 +/- 0.03). Seed weight significantly influenced germination time, but seed weight differences between maternal environments were not enough to explain this form of transgenerational plasticity. The effect of the maternal environment varied depending on the genotype, indicating that genetic variation in the sensitivity to the maternal environment in this pine species does exist. (c) 2011 Elsevier B.V. All rights reserved.
C1 [Cendan, Cesar; Zas, Rafael] Mision Biol Galicia MBG CSIC, Pontevedra 36080, Galicia, Spain.
   [Sampedro, Luis] CSIC, Unidad Asociada MBG, Ctr Invest Forestal Lourizan, Pontevedra 36080, Galicia, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Mision
   Biologica de Galicia (MBG); Consejo Superior de Investigaciones
   Cientificas (CSIC); CSIC - Mision Biologica de Galicia (MBG)
RP Zas, R (corresponding author), Mision Biol Galicia MBG CSIC, Apdo 28, Pontevedra 36080, Galicia, Spain.
EM rzas@mbg.csic.es
RI Sampedro, Luis/B-7187-2011; Zas, Rafael/I-5729-2014
OI Sampedro, Luis/0000-0002-3921-2575; Zas, Rafael/0000-0001-6563-2461
FU DOC-INIA grant;  [RTA2007-100];  [PSE310000];  [AGL2010-18724]
FX This work was financed by the grants RTA2007-100, PSE310000, and
   AGL2010-18724. L.S. was supported by a DOC-INIA grant. The two seed
   orchards were established by the Forestry Research Center of Lourizan,
   Xunta de Galicia. We thank Benito Santos, Raul de la Mata, Patricia
   Martins Montse Peso, Oscar Vilarino, Bretema Dorado, Fernando Gonzalez,
   Rocio Huelga, Peregrina Mendez, Mercedes Vazquez for their help in field
   and greenhouse sampling. Avelina Gonzalez, Rocio Campano and Luz Pato
   are also acknowledged for their help in seed weight determinations and
   germination surveys. We are also very grateful for the language edition
   by David Brown and for the data and suggestions provided by Esther
   Merlo. Valuable comments by two anonymous referees are also
   acknowledged.
CR Alboresi A, 2005, PLANT CELL ENVIRON, V28, P500, DOI 10.1111/j.1365-3040.2005.01292.x
   Alia R., 1996, Regiones de procedencia Pinus pinaster Aiton
   ANDERSSON B, 1994, TREE PHYSIOL, V14, P313, DOI 10.1093/treephys/14.3.313
   [Anonymous], 2006, SAS SYSTEM MIXED MOD
   Baskin C.C., 1998, Seeds: Ecology
   BEVINGTON J, 1986, AM J BOT, V73, P564, DOI 10.2307/2444262
   BIERE A, 1991, J EVOLUTION BIOL, V4, P447, DOI 10.1046/j.1420-9101.1991.4030447.x
   Bossdorf O, 2010, EVOL ECOL, V24, P541, DOI 10.1007/s10682-010-9372-7
   Boyko A, 2011, CURR OPIN PLANT BIOL, V14, P260, DOI 10.1016/j.pbi.2011.03.003
   Boyko A, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009514
   Castro J., 2006, Handbook of seed science and technology, P397
   Castro J, 2006, ANN BOT-LONDON, V98, P1233, DOI 10.1093/aob/mcl208
   Climent J, 2008, AM J BOT, V95, P833, DOI 10.3732/ajb.2007354
   Dolgosheina EV, 2008, RNA, V14, P1508, DOI 10.1261/rna.1052008
   Donohue K, 2005, EVOLUTION, V59, P740, DOI 10.1111/j.0014-3820.2005.tb01752.x
   Donohue K, 2008, NEW PHYTOL, V177, P367, DOI 10.1111/j.1469-8137.2007.02281.x
   Donohue K, 2010, ANNU REV ECOL EVOL S, V41, P293, DOI 10.1146/annurev-ecolsys-102209-144715
   Donohue K, 2009, PHILOS T R SOC B, V364, P1059, DOI 10.1098/rstb.2008.0291
   Emberger G.J., 1962, Bioclimatic Map of the Mediterranean Zone, Explanatory Notes
   Figueroa R, 2010, WEED SCI, V58, P160, DOI 10.1614/WS-D-09-00006.1
   Galloway LF, 2007, SCIENCE, V318, P1134, DOI 10.1126/science.1148766
   Gehring M, 2009, SCIENCE, V324, P1447, DOI 10.1126/science.1171609
   González-Martínez SC, 2004, FOREST ECOL MANAG, V197, P103, DOI 10.1016/j.foreco.2004.05.008
   JAYAWICKRAMA K J S, 1991, New Forests, V5, P157, DOI 10.1007/BF00029306
   Jensen PJ, 2010, TREE GENET GENOMES, V6, P57, DOI 10.1007/s11295-009-0228-7
   Johnsen O, 2005, PLANT CELL ENVIRON, V28, P1090, DOI 10.1111/j.1365-3040.2005.01356.x
   Johnsen O, 1996, THEOR APPL GENET, V92, P797, DOI 10.1007/BF00221890
   Keeley J., 1996, ECOLOGY BIOGEOGRAPHY, P219
   Lacey EP, 1997, AM J BOT, V84, P1617, DOI 10.2307/2446624
   Lacey EP, 1996, EVOLUTION, V50, P865, DOI [10.1111/j.1558-5646.1996.tb03895.x, 10.2307/2410858]
   Latzel V, 2010, OIKOS, V119, P1700, DOI 10.1111/j.1600-0706.2010.18737.x
   LINDGREN D, 1994, TREE PHYSIOL, V14, P323, DOI 10.1093/treephys/14.3.323
   Linkies A, 2010, NEW PHYTOL, V186, P817, DOI 10.1111/j.1469-8137.2010.03249.x
   Miguel C, 2004, PLANT CELL TISS ORG, V76, P121, DOI 10.1023/B:TICU.0000007253.91771.e3
   Mirouze M, 2011, CURR OPIN PLANT BIOL, V14, P267, DOI 10.1016/j.pbi.2011.03.004
   Moles AT, 2005, SCIENCE, V307, P576, DOI 10.1126/science.1104863
   Mosher RA, 2010, TRENDS PLANT SCI, V15, P204, DOI 10.1016/j.tplants.2010.01.002
   Nakabayashi K, 2005, PLANT J, V41, P697, DOI 10.1111/j.1365-313X.2005.02337.x
   Ramírez-Valiente JA, 2009, FOREST ECOL MANAG, V257, P1676, DOI 10.1016/j.foreco.2009.01.024
   Richards CL, 2010, NEW PHYTOL, V187, P562, DOI 10.1111/j.1469-8137.2010.03369.x
   ROACH DA, 1987, ANNU REV ECOL SYST, V18, P209, DOI 10.1146/annurev.es.18.110187.001233
   Santos-del-Blanco L, 2010, FOREST SYST, V19, P381
   Stoehr MU, 1998, CAN J FOREST RES, V28, P418, DOI 10.1139/cjfr-28-3-418
   Tarutani Y, 2010, NATURE, V466, P983, DOI 10.1038/nature09308
   Teixeira FK, 2009, SCIENCE, V323, P1600, DOI 10.1126/science.1165313
   Tielbörger K, 2010, J ECOL, V98, P1216, DOI 10.1111/j.1365-2745.2010.01682.x
   Wagner I, 2009, ARCT ANTARCT ALP RES, V41, P388, DOI 10.1657/1938-4246-41.3.388
   Webber J, 2005, TREE PHYSIOL, V25, P1219, DOI 10.1093/treephys/25.10.1219
   Yakovlev IA, 2010, NEW PHYTOL, V187, P1154, DOI 10.1111/j.1469-8137.2010.03341.x
   Zas R, 2004, SILVAE GENET, V53, P175, DOI 10.1515/sg-2004-0032
   Zas R, 2003, SILVAE GENET, V52, P212
NR 51
TC 65
Z9 71
U1 3
U2 103
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0098-8472
EI 1873-7307
J9 ENVIRON EXP BOT
JI Environ. Exp. Bot.
PD OCT
PY 2013
VL 94
SI SI
BP 66
EP 72
DI 10.1016/j.envexpbot.2011.11.022
PG 7
WC Plant Sciences; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Environmental Sciences & Ecology
GA 210RM
UT WOS:000323852200008
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Andersson, L
   Wilk, J
   Graham, LP
   Warburton, M
AF Andersson, Lotta
   Wilk, Julie
   Graham, L. Phil
   Warburton, Michele
TI Design and test of a model-assisted participatory process for the
   formulation of a local climate adaptation plan
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE adaptation; climate change; hydrology; participation; Africa
ID SOUTH-AFRICA; CHANGE IMPACT; RIVER-BASIN; PROJECTIONS; SCENARIOS; WATER
AB This article presents the design and testing of a model-assisted participatory process for the formulation of a local adaptation plan to climate change. The pilot study focused on small-scale and commercial agriculture, water supply, housing, wildlife, livestock and biodiversity in the Thukela River basin, KwaZulu-Natal, South Africa. The methodology was based on stakeholders identifying and ranking the severity of climate-related challenges, and downscaled stakeholder-identified information provided by modellers, with the aim of addressing possible changes of exposure in the future. The methodology enables the integration of model-based information with experience and visions based on local realities. It includes stakeholders' own assessments of their vulnerability to prevailing climate variability and the severity, if specified, of climate-related problems that may occur more often in the future. The methodology made it possible to identify the main issues to focus on in the adaptation plan, including barriers to adaptation. We make recommendations for how to design a model-assisted participatory process, emphasizing the need for transparency, to recognize the interests of the stakeholders, good advance planning, local relevance, involvement of local champions, and adaptation of Information material to each group's previous experience and understanding.
C1 [Andersson, Lotta; Graham, L. Phil] Swedish Meteorol & Hydrol Inst, S-60176 Norrkoping, Sweden.
   [Andersson, Lotta; Wilk, Julie] Linkoping Univ, Dept Themat Studies Climate Sci & Policy Res CSPR, S-60174 Norrkoping, Sweden.
   [Warburton, Michele] Univ KwaZulu Natal, Ctr Water Resources Res, ZA-3209 Scottsville, South Africa.
C3 Swedish Meteorological & Hydrological Institute; Linkoping University;
   University of Kwazulu Natal
RP Andersson, L (corresponding author), Swedish Meteorol & Hydrol Inst, S-60176 Norrkoping, Sweden.
EM lotta.andersson@smhi.se
CR Andersson L., 2009, 1 SMHI
   Andersson L, 2010, IAHS-AISH P, V340, P214
   Andersson L, 2011, TELLUS A, V63, P138, DOI 10.1111/j.1600-0870.2010.00480.x
   [Anonymous], 133 IWMI
   Bates B.C., 2008, INTERGOVERNMENTAL PA
   Berkhout F, 2002, GLOBAL ENVIRON CHANG, V12, P83, DOI 10.1016/S0959-3780(02)00006-7
   DANIELL KA, 2008, THESIS AUSTR NATL U
   Daniell KA, 2011, REG ENVIRON CHANGE, V11, P243, DOI 10.1007/s10113-010-0162-0
   Giannini A, 2008, CLIMATIC CHANGE, V90, P359, DOI 10.1007/s10584-008-9396-v
   Goudcn M., 2009, HYDROLOG SCI J, V54, P805
   Graham LP, 2011, PHYS CHEM EARTH, V36, P727, DOI 10.1016/j.pce.2011.07.084
   Gyampoh B. A., 2009, GLOB CHANG AFR PROJ
   Haque AN, 2012, ENVIRON URBAN, V24, P197, DOI 10.1177/0956247811433538
   HEGARTY EH, 1977, J CURRICULUM STUD, V9, P31, DOI 10.1080/0022027770090104
   Jones CG, 2004, AMBIO, V33, P199, DOI 10.1639/0044-7447(2004)033[0199:TRCRAC]2.0.CO;2
   Jonsson A., 2012, INT J JUSTICE SUSTAI, V17, P735
   KINGSBOROUGH AB, 2009, THESIS U OXFORD OXFO
   Larsen K, 2009, HABITAT INT, V33, P260, DOI 10.1016/j.habitatint.2008.10.007
   MANEZ M, 2009, SPANISH COUNTRY REPO
   Nielsen JO, 2012, CLIM DEV, V4, P16, DOI 10.1080/17565529.2012.660357
   Schulze R.E., 1995, HYDROLOGY AGROHYDROL
   Stringer LC, 2009, ENVIRON SCI POLICY, V12, P748, DOI 10.1016/j.envsci.2009.04.002
   The Nature Conservancy, 2007, INDICATORS HYDROLOGI
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Walker NJ, 2006, PHYS CHEM EARTH, V31, P995, DOI 10.1016/j.pce.2006.08.012
   Wilk J, 2013, REG ENVIRON CHANGE, V13, P273, DOI 10.1007/s10113-012-0323-4
   Yang W, 2010, HYDROL RES, V41, P211, DOI 10.2166/nh.2010.004
   Yates AG, 2006, J SOIL WATER CONSERV, V61, P14
NR 28
TC 10
Z9 10
U1 0
U2 25
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD JUL 1
PY 2013
VL 5
IS 3
BP 217
EP 228
DI 10.1080/17565529.2013.812955
PG 12
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 217NJ
UT WOS:000324365900005
DA 2025-01-10
ER

PT J
AU Liso, KR
   Kvande, T
   Thue, JV
AF Liso, KR
   Kvande, T
   Thue, JV
TI High-performance weather-protective flashings
SO BUILDING RESEARCH AND INFORMATION
LA English
DT Article
DE building damage; building defects; building enclosure; building
   pathology; building performance; building stock; climate adaptation;
   climatic impact; durability; weather-protective flashings; Norway
AB Typical problem areas associated with weather-protective flashing are identified. based on a comprehensive investigation of building damage cases in Norway. A total of 175 assignment reports associated with damaged flashing for the period between 1963 and 2001 are analysed. The investigation clearly shows that certain faults and deficiencies are recurring items. Windowsill/weatherboard flashings comprise as much as 41% of the building damage cases associated with weather-protective flashing. Damage in connection with parapet flashing comprises 27% of all cases included in this investigation. With few exceptions, instances of damage are located in Norway's coastal areas. Existing flashing solutions in the Norwegian Building Research Institute's Building Research Design Sheets have been further developed, based on the results from the analysis. Improved high-performance flashing solutions are presented for a number of typical problem areas. An illustrated summary of problems frequently encountered with different flashing variants is also presented. Finally, recommended best-practice flashing solutions for a number of typical problem areas are provided. The results will be implemented in the Building Research Design Sheets. and will also be used as a basis for the carrying out of new field studies and laboratory investigations.
C1 Norwegian Bldg Res Inst, N-0314 Oslo, Norway.
   Norwegian Bldg Res Inst, N-7491 Trondheim, Norway.
   Norwegian Univ Sci & Technol, Dept Civil & Transport Engn, N-7491 Trondheim, Norway.
C3 Norwegian University of Science & Technology (NTNU)
RP Liso, KR (corresponding author), Norwegian Bldg Res Inst, POB 123 Blindern, N-0314 Oslo, Norway.
EM kim.robert.liso@byggforsk.no; tore.kvande@byggforsk.no;
   jan.thue@bygg.ntnu.no
OI Kvande, Tore/0000-0003-0522-9974
CR BAKER MC, 1965, CBD69 I RES CONSTR N
   EVENSEN M, 2003, THESIS NORWEGIAN U S
   GEVING S, 2002, HDB NORWEGIAN BUILDI, V50
   HARILA R, 2002, THESIS NORWEGIAN U S
   INGVALDSEN T, 1994, 163 NBI NORW BUILD R
   INGVALDSEN T, 2001, 308 NORW BUILD RES I
   KVANDE T, 2003, 116 NBI NORW BUILD R
   KVANDE T, 2002, 38 NBI NORW BUILD RE
   Liso KR, 2003, RESEARCH IN BUILDING PHYSICS, P309
   Liso KR, 2003, BUILD RES INF, V31, P200, DOI 10.1080/0961321032000097629
   LISO KR, 2003, PLAN
   McDonald JR, 1997, J WIND ENG IND AEROD, V72, P367, DOI 10.1016/S0167-6105(97)00253-5
   *NBI, 2000, BUILDING RES SERIES
   *NBI, 1991, BUILDING RES SERIES
   *PLATSL RIKSF, 2002, BYGGN, V1
   *STAND NORW, 1999, 3420 STAND NORW
NR 16
TC 9
Z9 9
U1 0
U2 2
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0961-3218
J9 BUILD RES INF
JI Build. Res. Informat.
PD JAN-FEB
PY 2005
VL 33
IS 1
BP 41
EP 54
DI 10.1080/0961321042000323798
PG 14
WC Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology
GA 889ZS
UT WOS:000226482100004
DA 2025-01-10
ER

PT J
AU Nowak, AC
   Njuguna, L
   Ramirez-Villegas, J
   Reidsma, P
   Crumpler, K
   Rosenstock, TS
AF Nowak, Andreea C.
   Njuguna, Lucy
   Ramirez-Villegas, Julian
   Reidsma, Pytrik
   Crumpler, Krystal
   Rosenstock, Todd S.
TI Enhanced policy adequacy facilitates national climate adaptation
   tracking across Africa
SO NATURE CLIMATE CHANGE
LA English
DT Article
AB Inadequate information in national adaptation policies limits the ability to track national adaptation progress in Africa. Enhancing coverage, consistency and robustness of these policies offers a clear path to establish effective, nationally led adaptation-tracking infrastructure.
   NDCs and NAPs can inform adaptation assessments if they cover all elements of the adaptation cycle, are internally consistent and provide robust indicators to measure progress.The UAE-Bel & eacute;m work programme on indicators should champion robust indicators that reflect climate risks, adaptation needs and priorities outlined in national policies.NAP technical guidance revisions by the Least Developed Countries Expert Group can enhance NDCs-NAPs linkage, driving consistent adaptation planning, implementation and tracking.The research community can aid global and national efforts by establishing a database of indicators and methods that governments can use to build or enhance tracking systems.Enhanced researchers-practitioners-governments collaborations are needed to accelerate testing and refinement of indicators and to produce evidence on adaptation progress.
C1 [Nowak, Andreea C.; Ramirez-Villegas, Julian] Biovers Int, Climate Act, Rome, Italy.
   [Nowak, Andreea C.; Ramirez-Villegas, Julian; Reidsma, Pytrik] Wageningen Univ & Res, Plant Prod Syst Grp, Wageningen, Netherlands.
   [Njuguna, Lucy] Int Ctr Trop Agr CIAT, Climate Act, Nairobi, Kenya.
   [Crumpler, Krystal] Food & Agr Org United Nations, Rome, Italy.
   [Rosenstock, Todd S.] Biovers Int, Climate Act, Montpellier, France.
C3 Alliance; Bioversity International; Wageningen University & Research;
   Alliance; International Center for Tropical Agriculture - CIAT; Food &
   Agriculture Organization of the United Nations (FAO); Alliance;
   Bioversity International
RP Nowak, AC (corresponding author), Biovers Int, Climate Act, Rome, Italy.; Nowak, AC (corresponding author), Wageningen Univ & Res, Plant Prod Syst Grp, Wageningen, Netherlands.
EM a.nowak@cgiar.org
RI Ramirez-Villegas, Julian/AAY-8073-2020
OI Rosenstock, Todd/0000-0002-1958-9500; Nowak,
   Andreea/0000-0002-8049-5757; Ramirez-Villegas,
   Julian/0000-0002-8044-583X; Crumpler, Krystal/0009-0008-0425-5111
FU World Bank project "Accelerating Impacts of CGIAR Climate Research"
   (AICCRA)
FX This work was supported by The World Bank project "Accelerating Impacts
   of CGIAR Climate Research" (AICCRA) (A.C.N. and T.S.R.). We thank G.
   Wamukoya for direction and consultation.
CR [Anonymous], 2023, ADAPTATION GAP REPOR
   [Anonymous], 2023, DECISION 2CMA5 GLOBA
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Berrang-Ford L, 2019, NAT CLIM CHANGE, V9, P440, DOI 10.1038/s41558-019-0490-0
   Leiter T, 2021, ENVIRON SCI POLICY, V125, P179, DOI 10.1016/j.envsci.2021.08.017
NR 5
TC 0
Z9 0
U1 3
U2 3
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 1758-678X
EI 1758-6798
J9 NAT CLIM CHANGE
JI Nat. Clim. Chang.
PD AUG
PY 2024
VL 14
IS 8
BP 787
EP 788
DI 10.1038/s41558-024-02055-6
EA JUL 2024
PG 2
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 D1D3K
UT WOS:001272294400002
DA 2025-01-10
ER

PT J
AU Elshabrawy, M
   El-Basyouny, K
   Kwon, T
AF Elshabrawy, Mohamed
   El-Basyouny, Karim
   Kwon, Tae
TI Integrating ecological vulnerability and climate resiliency: a novel
   GIS-based method for fire hazard modeling
SO CANADIAN JOURNAL OF CIVIL ENGINEERING
LA English
DT Article; Early Access
DE wildland fire; fire-risk management; climate resiliency; AHP; LiDAR
ID ALGORITHMS; SUSCEPTIBILITY; PATTERNS; COUNTY; RISK
AB The recent expansion of municipality limits has resulted in an increase in the wildland-urban interface, causing fires in the wildlands to potentially encroach and enter urban centers. This paper proposes a fire-risk modeling framework within a climate resiliency context. The study uses large-scale geospatial datasets in combination with the analytical hierarchy process. Using various high-resolution-detailed datasets, an extensive list of variables was utilized to develop a novel fire-risk model. To support the goal of creating a climate-resilient urban municipality, an ecological vulnerability classification map was constructed to identify developable areas and areas under preservation. Regarding creating awareness for climate adaptation and zone, a brief discussion on the role of each stakeholder is provided. The discussion covers strategies for fire prevention and mitigation in high-risk areas/zones, as well as establishing several cornerstones for strategic planning and action to strengthen climate resilience of urban communities.
C1 [Elshabrawy, Mohamed; El-Basyouny, Karim; Kwon, Tae] Univ Alberta, Dept Civil & Environm Engn, Edmonton, AB T6G 1H9, Canada.
C3 University of Alberta
RP Elshabrawy, M (corresponding author), Univ Alberta, Dept Civil & Environm Engn, Edmonton, AB T6G 1H9, Canada.
EM elshabra@ualberta.ca
RI El-Basyouny, Karim/V-4912-2018
OI Elshabrawy, Mohamed/0000-0002-5221-7020
FU Alberta Ecotrust
FX The authors would like to thank the city of Edmonton and the University
   of Regina for providing the necessary datasets, which have been very
   crucial in our work. The contents of this paper reflect the views of the
   authors who are responsible for the facts and the accuracy of the data
   presented herein. The contents do not necessarily reflect the official
   views or policies of the City of Edmonton. Acknowledgments are also
   extended to Alberta Ecotrust for their financial sup-port.
CR acis, ALBERTA CLIMATE INFO
   Bevere L., 2013, Natural catastrophes in 2021: the floodgates are open
   Brugmann J., 2014, Building resilient cities: from risk assessment to redevelopment
   Busico G, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11247166
   Calviño-Cancela M, 2017, FOREST ECOL MANAG, V397, P10, DOI 10.1016/j.foreco.2017.04.033
   Chang Y, 2013, LANDSCAPE ECOL, V28, P1989, DOI 10.1007/s10980-013-9935-4
   Change for Climate--Edmonton, 2020, CHANG CLIM EDM DECL
   cwfis, 2018, CANADIAN WILDLAND FI
   Bui DT, 2018, ECOL INFORM, V48, P104, DOI 10.1016/j.ecoinf.2018.08.008
   EarthExplorer, About us
   Erdody TL, 2010, REMOTE SENS ENVIRON, V114, P725, DOI 10.1016/j.rse.2009.11.002
   Eskandari S, 2017, ARAB J GEOSCI, V10, DOI 10.1007/s12517-017-2976-2
   Eugenio FC, 2016, J ENVIRON MANAGE, V173, P65, DOI 10.1016/j.jenvman.2016.02.021
   Hong HY, 2019, ECOL INDIC, V101, P878, DOI 10.1016/j.ecolind.2019.01.056
   Hong HY, 2018, SCI TOTAL ENVIRON, V630, P1044, DOI 10.1016/j.scitotenv.2018.02.278
   Jaafari A, 2019, J ENVIRON MANAGE, V243, P358, DOI 10.1016/j.jenvman.2019.04.117
   Jaafari A, 2018, ECOL INFORM, V43, P200, DOI 10.1016/j.ecoinf.2017.12.006
   Jung J, 2013, NAT HAZARDS, V65, P2129, DOI 10.1007/s11069-012-0465-1
   Kelly M, 2015, CALIF AGR, V69, P14, DOI 10.3733/ca.v069n01p14
   Kumari B, 2020, SPAT INF RES, V28, P87, DOI 10.1007/s41324-019-00275-z
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Martin SL, 2012, INT J BIOMETEOROL, V56, P605, DOI 10.1007/s00484-011-0449-y
   Nguyen NT, 2018, ECOL INFORM, V46, P74, DOI 10.1016/j.ecoinf.2018.05.009
   Oliver M. A., 1990, International Journal of Geographical Information Systems, V4, P313, DOI 10.1080/02693799008941549
   Pausas JG, 2019, FRONT ECOL ENVIRON, V17, P289, DOI 10.1002/fee.2044
   Roszko A., 2020, Climate resilience planning with vulnerable communities: a case study of engagement and citizenship in Edmonton
   SAATY TL, 1977, J MATH PSYCHOL, V15, P234, DOI 10.1016/0022-2496(77)90033-5
   Sánchez YS, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18030826
   Scott J. H., 2013, General Technical Report RMRS-GTR-315
   Syphard AD, 2014, INT J WILDLAND FIRE, V23, P1165, DOI 10.1071/WF13158
   Wang XianLi Wang XianLi, 2017, Environmental Research Letters, V12, P025005, DOI 10.1088/1748-9326/aa5835
   Wikipedia Contributors, 2021, Climate of Edmonton
   Zhang XR, 2015, SUSTAINABILITY-BASEL, V7, P9924, DOI 10.3390/su7089924
   US
NR 34
TC 0
Z9 0
U1 6
U2 13
PU CANADIAN SCIENCE PUBLISHING
PI OTTAWA
PA 123 Slater Street, Suite 610, OTTAWA, ON K1P 5H2, CANADA
SN 0315-1468
EI 1208-6029
J9 CAN J CIVIL ENG
JI Can. J. Civ. Eng.
PD 2023 MAY 5
PY 2023
DI 10.1139/cjce-2022-0004
EA MAY 2023
PG 11
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA G3SV5
UT WOS:000988403800001
DA 2025-01-10
ER

PT J
AU Cooper, D
AF Cooper, Danika
TI The canal and the pool: infrastructures of abundance and the invention
   of the modern desert
SO LANDSCAPE RESEARCH
LA English
DT Article
DE Arid lands; landscape histories; modernity; climate adaptation
AB Modernist ontologies of water physically materialise in Phoenix's landscape: over 100 miles of canals convey water to the suburban grid, where thousands of gallons are piped into backyard swimming pools. The canal and pool are thus joined in architectural folly to move, hold, and control water in the service of sustaining the belief that dry ecologies are but supply chain problems in need of engineering solutions. These typologies reveal longstanding entanglements between the promises of modernity and aridland urbanism; and they further amplify the immense challenge of transitioning away from modern water infrastructure in the face of climate change. By using the canal and the pool as signifiers of the insidious entanglements between modernity, growth, and aridland urbanism, this article advances an historical examination of Phoenix that destabilises tropes of water scarcity as a problem to be solved but which has also created cultural perceptions of abundant water.
C1 [Cooper, Danika] Univ Calif Berkeley, Landscape Architecture & Environm Planning, Berkeley, CA 94704 USA.
C3 University of California System; University of California Berkeley
RP Cooper, D (corresponding author), Univ Calif Berkeley, Landscape Architecture & Environm Planning, Berkeley, CA 94704 USA.
EM danikacooper@berkeley.edu
CR [Anonymous], 2015, ATLANTIC
   [Anonymous], PROGR ITS DISCONTENT
   Arizona Department of Water Resources, 2019, GWAICC DES COMM 8 22
   Berger B., 2019, DESERT HARVEST NEW S, P61
   Berry Wendell., 1970, Hudson Review, V23, P633, DOI DOI 10.2307/3849627
   Billington D.P., 2005, The history of large federal dams: planning, design, and construction in the era of big dams
   Bliss L., 2016, WATER COSTS 10 TIMES
   Cooper D, 2020, J ARCHIT EDUC, V74, P37, DOI 10.1080/10464883.2020.1693820
   Davis D. K., 2016, ARID LANDS HIST POWE, DOI DOI 10.1126/science.aal1950
   Feldman D.L., 2009, Santa Clara J. Int'l L, V7, P1
   Forrest N, 2009, IEEE I SYMP SUST SYS, P435, DOI 10.1109/ISSST.2009.5156782
   Gammage Grady., 2016, FUTURE SUBURBAN CITY
   Heslop K, 2014, J SOUTHWEST, V56, P29, DOI 10.1353/jsw.2014.0004
   Hill JB, 2015, J SOUTHWEST, V57, P609, DOI 10.1353/jsw.2015.0015
   JACKSON DC, 1993, TECHNOL CULT, V34, P539, DOI 10.2307/3106704
   James I., 2020, ARIZONA REPUBLI 0129
   Kelland C.B., 1947, ARIZONA HIGHWAYS
   Linton J., 2010, What is water? The history of a modern abstraction
   Logan MichaelF., 2006, DESERT CITIES ENV HI
   Luckingham B., 1981, The Journal of Arizona History, V22, P197
   Luckingham Bradford., 1989, PHOENIX HIST SW METR
   Mehta L., 2003, Economic And Political Weekly, P5066, DOI DOI 10.2307/4414344
   Needham A, 2014, POLIT SOC TWENTIETH, P1
   Neimanis A., 2017, BODIES WATER POSTHUM
   Peplow E.H., 1957, ARIZONA HIGHWAYS
   Pisani DonaldJ., 2002, Water and American Government: The Reclamation Bureau, National Water Policy, and the West, 1902-1935
   Robbins J., 2019, MASS TIMB TAK GREEN
   Ross Andrew., 2011, Bird on Fire: Lessons from the World's Least Sustainable City
   Ryan Simon., 1996, The Cartographic Eye: How Explorers Saw Australia
   Salt River Project, 2021, SALT RIV PROJ ON REL
   Salt River Project, 2018, HIST TIM
   Salt River Project, 2019, SRP CONNECT     0131
   Santha S.D., 2018, GLOCALISM J CULTURE
   Santos Fernanda., 2013, New York Times
   Schmidt JeremyJ., 2017, Water: Abundance, Scarcity, and Security in the Age of Humanity
   Scott James C., 1998, Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed
   Shermer ET, 2013, POLIT CULT MOD AM, P1
   U.S. Census Bureau, 2019, MAR COUNT AR
   WALKER Scott, 2012, Ph. D. Tesis doctoral
   Wiltse Jeff., 2010, Contested Waters: A Social History of Swimming Pools in America
   Worster D., 1994, Under Western skies: Nature and history in the American West
   Worster Donald., 1985, RIVERS EMPIRE WATER
NR 42
TC 2
Z9 2
U1 0
U2 2
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0142-6397
EI 1469-9710
J9 LANDSCAPE RES
JI Landsc. Res.
PD JAN 2
PY 2022
VL 47
IS 1
BP 35
EP 48
DI 10.1080/01426397.2021.1958308
EA JUL 2021
PG 14
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA YO7QK
UT WOS:000679315500001
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Meng, M
   Dabrowski, M
   Stead, D
AF Meng, Meng
   Dabrowski, Marcin
   Stead, Dominic
TI Shifts in Spatial Plans for Flood Resilience and Climate Adaptation:
   Examining Planning Procedure and Planning Mandates
SO SUSTAINABILITY
LA English
DT Article
DE spatial planning; flood risk management; procedures; mandates; planning
   tools; horizontal interactions; vertical cross-level coordination
ID RISK; GOVERNANCE; MANAGEMENT; INSIGHTS; CITIES
AB The paper examines the development of different spatial plans to address flood resilience in the Chinese city of Guangzhou, one of the most vulnerable cities to flooding and climate change. The analysis focuses on the differences in planning procedures and planning mandates (determined by different plans in authority) before and after the launch of the Sponge City Plan which calls for numerous spatial resilience measures to address the increasing flood risk. The analysis reveals that the introduction of the Sponge City Plan has changed the role of planning from onlooker to active participant in the arena of flood governance. In addition, new plans combine long-term strategic visions, soft principles, and strict regulations with an aim to promote concrete planning practice between multiple layers with a clear mandate. Despite these shifts, institutional and territorial challenges remain.
C1 [Meng, Meng; Dabrowski, Marcin; Stead, Dominic] Delft Univ Technol TU Delft, Fac Architecture & Built Environm, Dept Urbanism, Julianalaan 134, NL-2628 BL Delft, Netherlands.
C3 Delft University of Technology
RP Meng, M (corresponding author), Delft Univ Technol TU Delft, Fac Architecture & Built Environm, Dept Urbanism, Julianalaan 134, NL-2628 BL Delft, Netherlands.
EM m.meng@tudelft.nl; m.m.dabrowski@tudelft.nl; D.Stead@tudelft.nl
RI Meng, Meng/GPK-8447-2022; Stead, Dominic/O-8029-2014
OI Stead, Dominic/0000-0002-8198-785X; meng, meng/0000-0002-7306-0544
FU Guangzhou House and Urban-rural Construction Commission; Guangzhou Urban
   Planning Design & Survey Research Institute; Nansha District Spatial
   Planning Research Centre; Turenscape Planning and Design Company; China
   Scholarship Council (CSC)
FX This work was conducted with the support of Dongjin Qi from the South
   China University of Technology (SCUT), the contacts in Guangzhou House
   and Urban-rural Construction Commission, Guangzhou Urban Planning Design
   & Survey Research Institute, Nansha District Spatial Planning Research
   Centre and Turenscape Planning and Design Company, and all interviewees
   in this study. Thanks to the support from China Scholarship Council
   (CSC).
CR Albers RAW, 2015, BUILD ENVIRON, V83, P1, DOI 10.1016/j.buildenv.2014.09.006
   [Anonymous], 2015, THESIS
   [Anonymous], 2013, LIMP LEAP LEARN DEV
   Cheong SM, 2011, CLIMATIC CHANGE, V106, P57, DOI 10.1007/s10584-010-9996-1
   Chinese Planning, REV FOR REV URB MAST
   Clémençon R, 2016, J ENVIRON DEV, V25, P3, DOI 10.1177/1070496516631362
   Dabrowski M, 2018, ENVIRON PLAN C-POLIT, V36, P837, DOI 10.1177/2399654417725077
   Dieperink C, 2018, ECOL SOC, V23, DOI 10.5751/ES-09962-230131
   Few R, 2007, COAST MANAGE, V35, P255, DOI 10.1080/08920750601042328
   Fidelman PIJ, 2013, GLOBAL ENVIRON CHANG, V23, P800, DOI 10.1016/j.gloenvcha.2013.02.016
   Frohlich J., 2013, icinde, Climate Change Governance, P9, DOI [DOI 10.1007/978-3-642-29831-82, 10.1007/978-3-642-29831-8_2, DOI 10.1007/978-3-642-29831-8_2]
   Guangzhou Government, 2016, GUANGZH MAST PLAN 20
   Guangzhou Government, 2005, GUANGZH MAST PLAN 20
   Guangzhou Government, 2017, GUANGZH SPONG CIT PL
   Guangzhou Government, 2020, GUANGZH STRAT PLAN 2
   Guangzhou Water Affairs Burea, 2013, FLOOD DEF RAINW DISC
   Guangzhou Water Affairs Burea, 2012, MAST PLAN GUANGZH RA
   Guangzhou Water Conservancy Bureau, 2007, CAN WAT REN PROGR 20
   Haizhu District Urban Planning Bureau Haizhu District Government Guangzhou Urban Planning Compiling & Research Centre Guangzhou Urban Planning & Design and Survey Research Institution, 2013, REG PLAN HAIZH EC
   Hurlimann AC, 2012, WIRES CLIM CHANGE, V3, P477, DOI 10.1002/wcc.183
   Hutter G, 2016, ENVIRON SCI POLICY, V55, P302, DOI 10.1016/j.envsci.2015.07.028
   Ishiwatari M, 2019, PROG DISASTER SCI, V2, DOI 10.1016/j.pdisas.2019.100014
   James M., 2009, Ecole polytechnique de Montreal, Departement des genies civil, geologique et des mines, P1
   Keskitalo ECH, 2010, DEVELOPING ADAPTATION POLICY AND PRACTICE IN EUROPE: MULTI-LEVEL GOVERNANCE OF CLIMATE CHANGE, P1, DOI 10.1007/978-90-481-9325-7
   Kobayashi Y., 2012, Flood Risk Management in the People's Republic of China: Learning to Live with Flood Risk
   Lambert D., 2006, The field guide to geology
   Macintosh A., 2015, J ENVIRON PLANN MAN, V58, P1432, DOI [10.1080/09640568.2014.930706, DOI 10.1080/09640568.2014.930706]
   Meng M., 2018, SMART RESILIENT TRAN, P153
   Meng M, 2019, ENVIRON SCI POLICY, V96, P95, DOI 10.1016/j.envsci.2019.03.006
   Ministry of Housing & Urban-Rural Development, NOT JOINT ADV SPONG
   Ministry of Water Resources, MAN MEAS WAT CONS IN
   Ministry of Water Resources, RES MAN MEAS WAT CON
   Ministry of Water Resources, 2007, PEARL RIV BAS FLOOD
   Paganini Z, 2019, GEOFORUM, V104, P25, DOI 10.1016/j.geoforum.2019.06.003
   Pengfei L., 2015, THESIS
   Porse E, 2014, WATER SCI TECHNOL, V70, P1755, DOI 10.2166/wst.2014.256
   Ran J, 2016, COMPUT ENVIRON URBAN, V57, P68, DOI 10.1016/j.compenvurbsys.2016.01.008
   Ryan D, 2015, CLIMATIC CHANGE, V131, P519, DOI 10.1007/s10584-015-1402-6
   Standing Committee of the National People's Congress, 2008, CIT COUNTR PLANN ACT
   Stern N., 2007, STERN REV EC CLIMATE, DOI [10.1201/b16969, DOI 10.1201/B16969]
   Stocker, 2015, CEUR WORKSHOP PROC, V1542, P33, DOI [10.1017/CBO9781107415324, DOI 10.1017/CBO9781107415324]
   Tasantab JC, 2019, JAMBA-J DISASTER RIS, V11, DOI 10.4102/jamba.v11i1.638
   Tianhe District Government, 2017, EC SOC DEV STAT B TI
   Turenscape Planning and Design Company, 2018, SPONG CIT PLAN TIANH
   UFCOP, 2017, LAND US PLANN URB FL
   UN-HABITAT, 2011, GLOB REP HUM SETTL, DOI [10.4324/9780203077207, DOI 10.4324/9780203077207]
   van der Heijden J, 2011, POLITICS-OXFORD, V31, P9, DOI 10.1111/j.1467-9256.2010.01397.x
   [王广华 Wang Guanghua], 2016, [中国给水排水, China Water & Wastewater], V32, P7
   Wang J, 2018, PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (IEEE RCAR), P13, DOI 10.1109/RCAR.2018.8621713
   WANG WL, 2016, J WATER WASTEWATER E, V42, P61
   Waylen KA, 2018, J FLOOD RISK MANAG, V11, pS1078, DOI 10.1111/jfr3.12301
   Wingfield T, 2019, AREA, V51, P743, DOI 10.1111/area.12535
   Wu HC, 2016, WATER-SUI, V8, DOI 10.3390/w8080329
   Wu Zhiqiang., 2010, Principles of urban planning
   Yu Li., 2014, Chinese city and regional planning systems
   Zhang X., 2017, WATER CONSERV PLAN D, P90, DOI [10.16080/j.issn1671-833x.2017.20.090, DOI 10.16080/J.ISSN1671-833X.2017.20.090]
NR 56
TC 8
Z9 8
U1 3
U2 50
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 105
DI 10.3390/su12010105
PG 24
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:000521955600105
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Opoku, E
   Glazebrook, T
AF Opoku, Emmanuela
   Glazebrook, Trish
TI Gender, Agriculture, and Climate Policy in Ghana
SO ENVIRONMENTAL ETHICS
LA English
DT Article
ID PRECIPITATION; AFRICA
AB Ghana is aware of women farmers' climate adaptation challenges in meeting the country's food security needs and has strong intentions to support these women, but is stymied by economic limitations, poor organization in governance, persistent social gender biases, and either little or counter-productive support from international policy makers and advisory bodies. Focal issues are the global impacts of climate change on agriculture, Africa's growing hunger crisis, and women's contribution to food production in Ghana. Of special importance are the issues of gender-inclusiveness and gender-sensitivity of Ghana's climate and climate-related policies. including its integration of United Nations Framework Convention on Climate Change policy, as well as the influence of international economic policy on Ghana's gender development. Because women farmers provide the majority of the country's national food-basket. Ghana (as well as other African counties) should focus on building women subsistence farmers' adaptation needs to avert mass starvation. People should understand that starvation in Africa is not a future event but is already underway.
C1 [Opoku, Emmanuela] Univ North Texas, Philosophy & Relig Dept, 1155 Union Circle 310920, Denton, TX 76203 USA.
   [Glazebrook, Trish] Washington State Univ, Sch Polit Philosophy & Publ Affairs, POB 644880, Pullman, WA 99164 USA.
C3 University of North Texas System; University of North Texas Denton;
   Washington State University
RP Opoku, E (corresponding author), Univ North Texas, Philosophy & Relig Dept, 1155 Union Circle 310920, Denton, TX 76203 USA.
EM emmanuelaopoku@my.unt.edu; patricia.glazebrook@wsu.edu
CR Adaptation Fund, 2018, INCR RES CLIM CHANG
   Akuyo Ayifli Rejoice Wabiyaa, 2017, J FOOD PROCESSING S, V8, P56
   [Anonymous], 2014, GHANA SHARED GROWTH, P68
   [Anonymous], 2018, SUMM POL IPCC SPEC R
   [Anonymous], 0312 INT MON FUND
   Antwi-Agyei P, 2018, GHANAS VISION NATL A
   BAKER JT, 1990, J AGR SCI, V115, P313, DOI 10.1017/S0021859600075729
   Benneh George, 1974, ENV DEV W AFRICA
   Blomstrom Eleanor, 2009, CLIMATE CHANGE CONNE, P2
   Christiano T, 2014, POLIT PHILOS ECON, V13, P317, DOI 10.1177/1470594X14544283
   Dennis Suzanna., 2006, Gender Guide to World Bank and IMF Policy-Based Lending
   Dzah Ellen D. E., 2011, GENDER DYNAMICS CLIM, P38
   Environmental Protection Agency, 2018, GHAN NAT AD PLAN FRA, P8
   Environmental Protection Agency Ghana, 2019, US
   Essegbey George, 2014, ASSESSMENT CLIMATE C
   FAO IFAD and WFP, 2013, STAT MED FOR, P31
   FAO IFAD UNICEF WFP and WHO, 2018, STAT FOOD SEC NUTR W, pxiii
   Food and Agriculture Organization International Fund for Agricultural Development World Food Program, 2015, STAT FOOD INS WORLD, P8
   Glazebrook T, 2011, HYPATIA, V26, P762, DOI 10.1111/j.1527-2001.2011.01212.x
   Glazebrook Trish., 2015, Contemporary Perspectives of Ecofeminism, P111
   Izumi K, 1999, Gend Dev, V7, P9, DOI 10.1080/741923249
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Kuuzegh Rudolph S., 2009, SPEC SESS AMCEN CLIM
   Lawson ET, 2016, INT J CLIM CHANG STR, V8, P399, DOI 10.1108/IJCCSM-04-2015-0041
   LONGHURST R, 1986, IDS BULL-I DEV STUD, V17, P27, DOI 10.1111/j.1759-5436.1986.mp17003005.x
   Mensah A., 2016, REV ADAPTATION RELAT, P3
   Mensah-Kutin Rose, 2008, CASE STUDY GENDER HU, P34
   Ministry of Environment Science Technology and Innovation, 2015, ANN PROGR REP 2014
   Ministry of Environment Science Technology and Innovation, 2013, NAT CLIM CHANG POL
   Ministry of Gender, 2015, CHILDR SOC PROT NAT, P26
   Ministry of Health and Family Welfare Government of India, 2012, NAT RUR HLTH MISS, P17
   Narasimhan Priti, 2011, CLIMATE CHANGE ADAPT
   Niang I., 2014, REGIONAL ASPECTS C B, P1199
   Overseas Development Institute, 2016, PUBL SPEND CLIM CHAN, P59
   Pinto I, 2016, CLIMATIC CHANGE, V135, P655, DOI 10.1007/s10584-015-1573-1
   Republic of Ghana, 2015, GHANAS INTENDED NATL, P2
   Republic of Ghana, 2003, 0356 IMF, P75
   Republic of Ghana GPRS II, 2006, 0625 IMF
   Sarpong D. B., 2012, 46 FAC, P4
   Social Watch Coalition National Reports-Ghana, 2010, NAT REP GHAN MDGS RE, P109
   Sylla MB, 2015, J CLIMATE, V28, P6475, DOI 10.1175/JCLI-D-14-00854.1
   Thunberg Greta, 2019, YOUTUBE
   van Asselt H, 2014, ENVIRON ECON POLICY, V16, P137, DOI 10.1007/s10018-013-0060-z
   Waring Marilyn., 1988, WOMEN COUNTED NEW FE
   Waring Marilyn., 1999, COUNTING NOTHING WHA
   Whitehead A, 2002, J S AFR STUD, V28, P575, DOI 10.1080/0305707022000006521
   Wuertenberger L., 2011, INITIATIVES RELATED
NR 47
TC 2
Z9 4
U1 0
U2 12
PU ENVIRONMENTAL PHILOSOPHY INC
PI DENTON
PA UNIV NORTH TEXAS, DEPT PHILOSOPHY, PO BOX 13496, DENTON, TX 76203-3496
   USA
SN 0163-4275
EI 2153-7895
J9 ENVIRON ETHICS
JI Environ. Ethics
PD WIN
PY 2018
VL 40
IS 4
BP 371
EP 387
DI 10.5840/enviroethics201840435
PG 17
WC Ethics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics; Environmental Sciences & Ecology
GA IY4SL
UT WOS:000486383200007
DA 2025-01-10
ER

PT J
AU Frick, KT
   Forscher, E
AF Frick, K. Trapenberg
   Forscher, E.
TI Funding Resilient Infrastructure on the Quick: US Federal Transit
   Disaster Programs after Superstorm Sandy
SO NATURAL HAZARDS REVIEW
LA English
DT Article
ID POLICY; VULNERABILITY; HAZARDS; CITIES
AB The applied concept of resilience has garnered attention in the public eye and academic scholarship in the past decade. Through a rise in popularity, its meaning has morphed depending upon scale, audience, and what system must be resilient. This poses a problem of consistency for agencies, firms, and others working to make cities more adaptable to increasingly variable climate conditions. This work provides a critical examination of the Federal Transit Administration's (FTA) $10.4billion Emergency Relief program funding after Superstorm Sandy. The program, funded through the Disaster Relief Appropriations Act of 2013, allowed transportation providers the chance not only to rebuild but to make postemergency system improvements. This new paradigm for emergency funding creates opportunities to develop climate-adaptive infrastructure and services to prepare for the next, rather than the last, disaster. By examining and categorizing the allocation of FTA funds with respect to storm surge vulnerability, we consider the social equity implications of projects funded to date.
C1 [Frick, K. Trapenberg] Univ Calif Berkeley, Dept City & Reg Planning, Berkeley, CA 94720 USA.
   [Frick, K. Trapenberg] Univ Calif Berkeley, Transportat Ctr, Berkeley, CA 94720 USA.
   [Frick, K. Trapenberg] Univ Calif Berkeley, Ctr Econ Competitiveness Transportat, Berkeley, CA 94720 USA.
   [Forscher, E.] Univ Calif Berkeley, Transportat Engn, Berkeley, CA 94720 USA.
   [Forscher, E.] Univ Calif Berkeley, City & Reg Planning, Berkeley, CA 94720 USA.
   [Forscher, E.] Univ Calif Berkeley, Sci Transportat Engn, Berkeley, CA 94720 USA.
C3 University of California System; University of California Berkeley;
   University of California System; University of California Berkeley;
   University of California System; University of California Berkeley;
   University of California System; University of California Berkeley;
   University of California System; University of California Berkeley;
   University of California System; University of California Berkeley
RP Forscher, E (corresponding author), Univ Calif Berkeley, Transportat Engn, Berkeley, CA 94720 USA.; Forscher, E (corresponding author), Univ Calif Berkeley, City & Reg Planning, Berkeley, CA 94720 USA.; Forscher, E (corresponding author), Univ Calif Berkeley, Sci Transportat Engn, Berkeley, CA 94720 USA.
EM kfrick@berkeley.edu; forscher@berkeley.edu
OI Forscher, Edward/0000-0002-2512-1138
FU University of California Transportation Center, part of the University
   Transportation Centers Program of the US Department of Transportation
   (USDOT); USDOT; California Department of Transportation; Carmel P.
   Friesen Chair in Urban Studies; Carmel P. Friesen Fund
FX The authors would like to thank the journal's editors, referees, Lee
   Reis, Sam Blanchard, and Joel Mandella for their insights on earlier
   drafts of this manuscript. This research was supported by the University
   of California Transportation Center, which is part of the University
   Transportation Centers Program of the US Department of Transportation
   (USDOT) and receives funds from USDOT and the California Department of
   Transportation. Opinions, findings, and conclusions or recommendations
   expressed in this material are those of the author and do not
   necessarily reflect the views of these agencies. We also thank Professor
   Emeritus Robert Cervero of UC Berkeley, Carmel P. Friesen Chair in Urban
   Studies, and the Carmel P. Friesen Fund for their research support.
CR [Anonymous], SECT RES PLAN CRIT I
   [Anonymous], 2007, NAT HAZARDS REV, DOI [DOI 10.1061/(ASCE)1527-6988(2007)8:4(97), 10.1061/(ASCE)1527-6988(2007)8:4(97)]
   [Anonymous], 1977, RECONSTRUCTION FOLLO
   [Anonymous], 2012, The EU Approach to Resilience: Learning from Food Security Crises
   Berke P, 2015, J AM PLANN ASSOC, V81, P287, DOI 10.1080/01944363.2015.1093954
   Burdick Q., 1974, RT STAFFORD DISASTER
   Chan R, 2016, NAT HAZARDS REV, V17, DOI 10.1061/(ASCE)NH.1527-6996.0000200
   City Resilience, 2015, 100 RES CIT
   Comfort L. K., 2010, Designing resilience: Preparing for Extreme Events
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Da Silva J., 2014, CITY RESILIENCE FRAM
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dowds J, 2015, TRANSPORT RES REC, P21, DOI 10.3141/2532-03
   Fainstein S, 2015, INT J URBAN REGIONAL, V39, P157, DOI 10.1111/1468-2427.12186
   FEMA MOTF (Modeling Task Force), 2015, HURR SAND IMP AN TEC
   FHWA (Federal Highway Administration), 2017, FIX AM SURF TRANSP A
   FTA (Federal Transit Administration), 2015, FUND ALL HURR SAND R
   GAO (Government Accountability Office), 2015, GAO15159
   Giezen M, 2015, TRANSPORT POLICY, V44, P169, DOI 10.1016/j.tranpol.2015.08.006
   Gleeson B., 2014, SUSTAINABLE CITIES, P10
   Government Accountability Office, 2015, GAO15515
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C. S., 1986, FDN ECOLOGICAL RESIL
   Hoople D., 2013, The budgetary impact of the Federal Government's response to disasters
   IPCC, 2014, ANN 2 GLOSS CLIM CHA
   Kaufman S., 2012, Transportation During and After Hurricane Sandy
   Little R. G., 2015, BUILDING RIGHT TOOL, V16, DOI 10. 1061/(ASCE)NH. 1527-6996. 0000182
   Lloyd's Register Foundation, 2015, FOR REV RES ENG DES
   Marsden G, 2011, TRANSPORT POLICY, V18, P501, DOI 10.1016/j.tranpol.2010.10.006
   Marsden G, 2013, TRANSPORT RES A-POL, V51, P46, DOI 10.1016/j.tra.2013.03.004
   Marsden G, 2012, ENVIRON PLANN A, V44, P905, DOI 10.1068/a44210
   Mica J., 2012, HR4348, V4348, P112
   New York MTA (Metropolitan Transportation Authority), 2016, REQ REALL FTA SECT 5
   Obama B., 2013, Presidential policy directive 21: Critical infrastructure security and resilience
   Olshansky RB, 2012, NAT HAZARDS REV, V13, P173, DOI 10.1061/(ASCE)NH.1527-6996.0000077
   PANYNJ (Port Authority of New York and New Jersey), 2016, PORT AUTH NY NJ RESP
   Peck J, 2011, PROG HUM GEOG, V35, P773, DOI 10.1177/0309132510394010
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Pizzo B, 2015, CITIES, V43, P133, DOI 10.1016/j.cities.2014.11.015
   PSC (Partnership for Sustainable Communities), 2015, PSC 2015 PRIOR WASH
   Renne J., 2008, National study on carless and special needs evacuation planning: A literature review
   Rogers H., 2013, HR152, P152
   Smith AB, 2013, NAT HAZARDS, V67, P387, DOI 10.1007/s11069-013-0566-5
   UN Habitat, 2015, RES UN HAB
   Vale L., 2015, CITY READER ROUTLEDG, P621
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   White I, 2014, ENVIRON PLANN C, V32, P934, DOI 10.1068/c12117
   Whittington J., 2013, RESILIENCE T COST EC
   Whittington J, 2012, J AM PLANN ASSOC, V78, P269, DOI 10.1080/01944363.2012.715510
   World Bank, 2015, RES CIT PROGR
NR 51
TC 1
Z9 2
U1 0
U2 28
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1527-6988
EI 1527-6996
J9 NAT HAZARDS REV
JI Nat. Hazards Rev.
PD NOV
PY 2018
VL 19
IS 4
AR 04018016
DI 10.1061/(ASCE)NH.1527-6996.0000300
PG 13
WC Engineering, Civil; Environmental Studies; Geosciences,
   Multidisciplinary; Meteorology & Atmospheric Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology; Geology; Meteorology &
   Atmospheric Sciences; Water Resources
GA GT5GR
UT WOS:000444535200003
DA 2025-01-10
ER

PT J
AU König, M
   Nienstedt, DP
   Bruns, M
   Martens, J
   Stiller, B
AF Koenig, Manuela
   Nienstedt, Daniel-Phillip
   Bruns, Michael
   Martens, Joerg
   Stiller, Bjoern
TI Innovative monitoring for managing groundwater abstraction for
   agricultural irrigation in northeast Lower Saxony
SO GRUNDWASSER
LA German
DT Article
DE Agricultural irrigation; Ecological assets; Monitoring system;
   Groundwater model; Water rights; North-eastern Lower Saxony
AB To meet the increasing groundwater demand for agricultural irrigation, management of the groundwater supply adapted to climatically induced environmental changes is essential. A monitoring system is therefore required that provides relevant information with minimum effort to ensure timely and demand-oriented control of sustainable groundwater abstraction. This must also be applicable for large-scale management areas. The system, which is currently being tested in four pilot areas in the counties of Luneburg and Uelzen, achieves this objective with a small, suitable number of monitoring wells and gauging stations focussing on existing groundwater-dependent ecologically-sensitive areas. The measured data and all groundwater abstractions as well as further relevant data are incorporated into a transient numerical groundwater flow model, thus providing a management and decision tool. This enables a quantitative assessment of the current status of impacted groundwater bodies and surface waters, on the basis of which recommendations for sustainable groundwater abstraction in the following irrigation season can be derived.
C1 [Koenig, Manuela; Nienstedt, Daniel-Phillip; Bruns, Michael] Consulaqua Hildesheim, Bordestr 3, D-31135 Hildesheim, Germany.
   [Martens, Joerg] Kreisverband Wasser & Bodenverbande Uelzen, Meilereiweg 101, D-29525 Uelzen, Germany.
   [Stiller, Bjoern] Hamburg Wasser, Billhorner Elbdeich 2, D-20539 Hamburg, Germany.
RP König, M (corresponding author), Consulaqua Hildesheim, Bordestr 3, D-31135 Hildesheim, Germany.
EM manuela.koenig@consulaqua.de; daniel.nienstedt@consulaqua.de;
   michael.bruns@consulaqua.de; joerg.martens@wasser-uelzen.de;
   bjoern.stiller@hamburgwasser.de
CR CONSULAQUA Hildesheim, 2022, ENTW ERPR MON VORSCH
   CONSULAQUA Hildesheim, 2020, ENTW ERPR MON VORSCH
   Dachverbande Feldberegnung Luneburg und Uelzen, 2021, MON JAHR GRUNDW FELD
   Deutsche Vereinigung fur Wasserwirtschaft Abwasser und Abfall e.V, 2013, WECHS ZWISCH GRUND O
   Deutscher Verein des Gas- und Wasserfaches e.V, 2016, TECHN REG W 107 A AR
   DWD (Deutscher Wetter Dienst), 2021, TAGL STAT NIED MITTL
   DWD (Deutscher Wetter Dienst), 2019, VIELJ MITT RAST NIED
   Ertl G., 2019, Grundwasserneubildung von Niedersachsen und Bremen-Berechnungen mit dem Wasserhaushaltsmodell mGROWA18, GeoBerichte 36
   Hansestadt Luneburg, 2021, MON GRUNDW GEB HANS
   Kreisverband der Wasser- und Bodenverbande, 2021, AUSW FLACH FELDB
   Landesamt fur Geoinformation und Landesvermessung, 2016, DIG GEL DGM50 AUSZ G
   Landwirtschaftskammer (LWK), 2008, BEZ UELZ FACHGR 2 RE
   Landwirtschaftskammer (LWK) Niedersachsen, 2019, WASS LANDW FELDB LAN
   MU (Niedersachsisches Ministerium fur Umwelt), 2000, HYDR KART EG WRRL NA
   Niedersachsischer Landesbetrieb fur Wasserwirtschaft Kusten- und Naturschutz, 2021, AUSZ WASS GRUNDW NIE
   Niedersachsischer Landesbetrieb fur Wasserwirtschaft Kusten- und Naturschutz, 2013, KONZ BER DIR GRUNDW
   Reutter E., 2011, HYDROSTRATIGRAFISCHE
   SonTek, 2016, SONTEK IQ SER US MAN
   WRRL (EG-Wasserrahmenrichtlinie), 2000, RICHTL 2000 60 EG EU, P1
NR 19
TC 0
Z9 0
U1 0
U2 2
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1430-483X
EI 1432-1165
J9 GRUNDWASSER
JI Grundwasser
PD JUN
PY 2023
VL 28
IS 2
BP 167
EP 182
DI 10.1007/s00767-023-00545-6
EA APR 2023
PG 16
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA H0CA1
UT WOS:000978917100001
DA 2025-01-10
ER

PT J
AU Steffens, J
AF Steffens, Jan
TI The role of hunting in the Funnel Beaker Culture
SO ARCHAOLOGISCHES KORRESPONDENZBLATT
LA German
DT Article
DE Northern Europe; Neolithic; game; hunt; Funnel beaker culture;
   neolithisation
AB The role of hunting in the Funnel Beaker Culture was analysed in a comparative study of the proportions of game bones at sites in Southern Scandinavia and Central Europe. The study revealed significant regional differences. Sites in the southern regions show only small amounts of game bones in contrast to the north, where both sites with small and large proportions of game occur. The reasons could be differing environmental conditions, adaptations to climatic fluctuations, differences in the regional economic and settlement systems as well as a different cultural background in which the regional groups of the Funnel Beaker Culture evolved. Furthermore the article discusses the importance of the various species of game at sites of the Funnel Beaker Culture and a correspondence analysis was carried out to examine whether there is an association between high proportions of game and the predominance of specific species of domestic animals. The analysis demonstrated that there is no distinct relationship between an economy which is mainly based on hunting, and a special form of stock-farming.
C1 Univ Kiel, Inst Ur & Fruhgeschichte, D-24118 Kiel, Germany.
C3 University of Kiel
RP Steffens, J (corresponding author), Univ Kiel, Inst Ur & Fruhgeschichte, Johanna Mestorf Str 2-6, D-24118 Kiel, Germany.
EM jasteffens@web.de
CR [Anonymous], OFFA
   [Anonymous], 2007, Die Tierknochenfunde aus der Neolithischen Siedlung Heidmoor, Kr. Segeberg, unter Besonderer Berucksichtigung Wirtschaftshistorischer Aspekte
   [Anonymous], 1985, YNGRE STENALDER OERN
   [Anonymous], 1997, KONOMIE KOLOGIE NEOL
   [Anonymous], JAHRESSCHRIFT MITTEL
   [Anonymous], 1993, ARCHAOLOGISCHE INFOR
   Arbogast R.-M, 2001, ROLE STATUT CHASSE N
   BARTHEL HJ, 1985, WEIMARER MONOGR UR F, V13, P59
   BENECKE N, 1994, SCHR UR FRUHGESCH, V46
   CLASON AT, 1985, FONT ARCHAEOL PRAG, V17, P137
   Dohle Hans-Jurgen, 1993, ZFA (Zeitschrift fuer Archaeologie), V27, P105
   DOHLE HJ, 1994, BADEN WURTTEMBERG, V53, P223
   DOHLE HJ, 1992, LDKR BERNBURG JAHRES, V75, P1
   EBBESEN K, 1975, ARK STUD, V2
   ENDERLE K, 1977, NEUE AUSGR FORSCH NI, V11, P161
   GEHL O, 1979, JB BODENDENKMALPFL M, P39
   GEHL O, 1973, JB BODENDENKMALPFL M, P67
   GEHL O, 1975, JB BODENDENKMALPFL M, P39
   GRAMSCH B, 1971, EVOLUTION REVOLUTION, P127
   HALLSTROM A, 1984, ACTA ARCH LUNDENSI 4, V16, P182
   Hatting Tove., 1978, The Final TRB Culture in Denmark, A Settlement Study, P193
   HEINRICH D, 1997, TIERKNOCHEN FRUHNEOL, P43
   HOIKA J, 1987, NEOLIT POCZATKI BRAZ, P349
   Hubner K.-D., 1988, GOTTINGER SCHR VOR F, V23, P35
   Huster-Plogman H., 1999, HIST ANIMALIUM EXOSS, P189
   JOHANSSON L, 1982, SCHR ARCH ZOOLOG ARB, V6, P33
   KRYSIAK K, 1966, WIADOMOSCI ARCH, V32, P376
   Krysiak K., 1950, WIADOMOSCI ARCHEOLOG, V17, P165
   KRYSIAK K., 1956, WIADOMOSCI ARCHEOLOG, V23, P49
   Krysiak K., 1951, WIADOMOSCI ARCH, V18, P251
   KRYSIAK K., 1971, WIADOMOSCI ARCHEOLOG, V36, P187
   KUBASIEWICZ M, 1958, MAT ZACHODNIOPOMORSK, V4, P41
   LASOTAMOSKALEWS.A, 1982, WIADOMOSCI ARCH, V47, P267
   LUTTSCHWAGER H, 1967, Schriften des Naturwissenschaftlichen Vereins fuer Schleswig-Holstein, V37, P53
   MAKOWIECKI D, 1985, ROCZNIKI AKAD ROLNIC, V164, P19
   MAKOWIECKI D, 1985, ROCZNIKI AKAD ROLNIC, V164, P7
   MAKOWIECKI D, 1988, ROCZNIKI AKAD ROLNIC, V198, P31
   MOLENDA O, 1986, ROCZNIKI AKAD ROLNIC, V172, P77
   Muller H.H., 1978, Jahresschrift fur Mitteldeutsche Vorgeschichte, V62, P203
   NOBIS G., 1962, ZEIT TIERZTUCHTUNG ZUCHTUNGS BIOL, V77, P16
   NOBIS G, 1987, OFFA BUCHER, V61, P257
   Nobis G., 1971, SCHR NATURWISS VER S, V41, P89
   NOBIS G, 1983, OFFA BUCHER, V50, P115
   PRILLOFF RJ, 1982, JAHRESSCHR MITTELDT, V65, P73
   RADOMSKI L, 1967, PRACE MAT MUZ ARCH E, V14, P145
   Reichstein H., 1985, OFFA, V42, P331
   ROWLEYCONWY P, 1984, KUML, P77
   SCHIBLER J, 1990, BEITRAGE ARCHAOZOOLO, P205
   Schibler J., 1995, SCHWEIZ PALAOLITHIKU, P97
   Schmolcke U., 2001, BEITR ARCHAOZOOLOGIE, VIII, P44
   SCHOKNECHT U, 1957, JB BODENDENKMALPFL M, P7
   Schramm Z., 1988, Roczniki Akademii Rolniczej w Poznaniu, V184, P75
   Schramm Zdzislawa, 1991, Roczniki Akademii Rolniczej w Poznaniu, V221, P43
   SCHULDT E, 1961, MECKLENBURG, P131
   SKAARUP J, 1973, ARK STUD, V1
   STOLLE T, 1988, JAHRESSCHR MITTELDT, V71, P37
   SWIEZYNSKI K, 1966, PRZEGLAD ARCH, V17, P80
   SYCH L, 1964, BADAN NEOLITEM MALOP, V4, P329
   WYSZOMIRSKA B, 1988, ACTA ARCH LUNDENSI 8, V17
NR 59
TC 6
Z9 7
U1 0
U2 2
PU ROMISCH-GERMANISCHES ZENTRALMUSEUM
PI MAINZ
PA ERNST-LUDWIG-PLATZ 2, MAINZ, 55116, GERMANY
SN 0342-734X
J9 ARCHAOL KORRESPONDEN
JI Archaol. Korrespondenzbl.
PY 2007
VL 37
IS 4
BP 471
EP 487
PG 17
WC Archaeology
WE Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Archaeology
GA 263TQ
UT WOS:000253239800002
DA 2025-01-10
ER

PT J
AU Huang, YJ
   Huang, ZH
AF Huang, Yujun
   Huang, Zhihao
TI The Impact of Climate Change Transition Innovations on the Default Risk
SO SUSTAINABILITY
LA English
DT Article
DE climate change transition; default risk; low-carbon innovations
ID FINANCIAL PERFORMANCE; ENVIRONMENTAL INNOVATION; FIRM PERFORMANCE; GREEN
   INNOVATION; SPILLOVERS
AB In the context of climate change mitigation and adaptation, climate risks stemming from climate transition innovations have garnered significant attention due to concerns about the inadequate climate finance. To shed light on the climate transition risk posed by innovations, this study constructed low-carbon innovation indicators of listed firms in China spanning 2015 to 2021. This study investigated the impact of climate transition innovations on the default risk, considering the mediation effect of investor attention, total factor productivity, and technology spillovers. The findings suggest that low-carbon innovations can mitigate the default risk of listed firms, as evidenced by three low-carbon innovation indicators. Additionally, the research reveals that the climate innovation effect on default risks was moderated when considering climate policy through heterogenous analysis. Furthermore, instrumental variable regressions using the time costs of innovation support the findings. Lastly, default risk was mitigated through lower levels of investor attention, greater total factor productivity, and technology spillovers.
C1 [Huang, Yujun; Huang, Zhihao] Fudan Univ, Sch Data Sci, Shanghai 200433, Peoples R China.
C3 Fudan University
RP Huang, ZH (corresponding author), Fudan Univ, Sch Data Sci, Shanghai 200433, Peoples R China.
EM yjhuang19@fudan.edu.cn; zhhuang20@fudan.edu.cn
RI Huang, Yujun/IUT-4930-2023
OI Huang, Zhihao/0009-0000-3171-6886; Huang, Yujun/0009-0002-1214-9198
CR Aastvedt TM, 2021, RESOUR POLICY, V73, DOI 10.1016/j.resourpol.2021.102235
   Acemoglu D, 2016, J POLIT ECON, V124, P52, DOI 10.1086/684511
   Aguilera-Caracuel J, 2013, ORGAN ENVIRON, V26, P365, DOI 10.1177/1086026613507931
   Aiello F, 2008, EMPIR ECON, V34, P143, DOI 10.1007/s00181-007-0174-x
   Al Naqbia E., 2020, International Journal of Innovation, Creativity and Change, V14, P31
   Arantegui RL, 2018, RENEW SUST ENERG REV, V81, P2460, DOI 10.1016/j.rser.2017.06.052
   Arts S, 2018, STRATEGIC MANAGE J, V39, P62, DOI 10.1002/smj.2699
   Barmier CE, 2022, FINANC RES LETT, V44, DOI 10.1016/j.frl.2021.102052
   Battiston S., 2023, Climate Credit Risk and Corporate Valuation: Battiston, Stefano|uMandel, Antoine|uMonasterolo, Irene| uRoncoroni, Alan, DOI [10.2139/ssrn.4124002, DOI 10.2139/SSRN.4124002]
   Bellini T., 2019, IFRS 9 CECL CREDIT R, P31, DOI [10.1016/B978-0-12-814940-9.00010-4, DOI 10.1016/B978-0-12-814940-9.00010-4]
   Ben-Nasr H, 2021, INT REV FINANC, V21, P3, DOI 10.1111/irfi.12265
   Bharath ST, 2008, REV FINANC STUD, V21, P1339, DOI 10.1093/rfs/hhn044
   Cahen-Fourot L, 2021, ENERG ECON, V103, DOI 10.1016/j.eneco.2021.105581
   Chen LX, 2017, J INFORMETR, V11, P63, DOI 10.1016/j.joi.2016.04.018
   Cheng CCJ, 2014, J CLEAN PROD, V64, P81, DOI 10.1016/j.jclepro.2013.09.050
   Chevallier J, 2021, ENERG POLICY, V149, DOI 10.1016/j.enpol.2020.112055
   Curtin J, 2019, RENEW SUST ENERG REV, V116, DOI 10.1016/j.rser.2019.109402
   Davis SJ, 2010, SCIENCE, V329, P1330, DOI 10.1126/science.1188566
   de Faria P, 2012, APPL ECON, V44, P4765, DOI 10.1080/00036846.2011.560108
   Deng C, 2022, FINANC RES LETT, V47, DOI 10.1016/j.frl.2021.102565
   Dietz S, 2018, J ENVIRON ECON MANAG, V87, P258, DOI 10.1016/j.jeem.2017.07.005
   Du KR, 2019, TECHNOL FORECAST SOC, V146, P297, DOI 10.1016/j.techfore.2019.06.010
   Fernandes AM, 2015, REV ECON STAT, V97, P638, DOI 10.1162/REST_a_00446
   Gao Y, 2023, CHINA FINANC REV INT, V13, P79, DOI 10.1108/CFRI-06-2021-0136
   Ghisetti C, 2015, ECOL ECON, V118, P57, DOI 10.1016/j.ecolecon.2015.07.009
   Gunday G, 2011, INT J PROD ECON, V133, P662, DOI 10.1016/j.ijpe.2011.05.014
   Gutiérrez-Lopez C, 2022, RES INT BUS FINANC, V62, DOI 10.1016/j.ribaf.2022.101722
   Hao J, 2021, INT REV FINANC ANAL, V74, DOI 10.1016/j.irfa.2021.101675
   He F, 2022, ENERG ECON, V115, DOI 10.1016/j.eneco.2022.106308
   Hsu PH, 2015, J CORP FINANC, V35, P329, DOI 10.1016/j.jcorpfin.2015.09.005
   Huang JW, 2017, J BUS ETHICS, V145, P309, DOI 10.1007/s10551-015-2903-y
   Huang JB, 2019, CHINA ECON REV, V54, P271, DOI 10.1016/j.chieco.2018.12.001
   Imrohoroglu A, 2014, MANAGE SCI, V60, P2073, DOI 10.1287/mnsc.2013.1852
   Lemoine D, 2021, J ASSOC ENVIRON RESO, V8, P27, DOI 10.1086/710667
   Li FS, 2021, J CLEAN PROD, V293, DOI 10.1016/j.jclepro.2021.125949
   Li SN, 2024, INT REV ECON FINANC, V89, P1248, DOI 10.1016/j.iref.2023.08.007
   Liang YN, 2020, P NATL ACAD SCI USA, V117, P30900, DOI 10.1073/pnas.2013568117
   Liao ZJ, 2018, BUS STRATEG ENVIRON, V27, P1368, DOI 10.1002/bse.2186
   Liu FQ, 2021, ENERG POLICY, V156, DOI 10.1016/j.enpol.2021.112430
   Matos S, 2022, TECHNOVATION, V117, DOI 10.1016/j.technovation.2022.102612
   Meles A, 2023, INT REV ECON FINANC, V84, P692, DOI 10.1016/j.iref.2022.11.036
   MERTON RC, 1974, J FINANC, V29, P449, DOI 10.2307/2978814
   Misani N, 2015, ECOL ECON, V109, P150, DOI 10.1016/j.ecolecon.2014.11.010
   Muldoon-Smith K, 2019, ENERGY RES SOC SCI, V54, P60, DOI 10.1016/j.erss.2019.03.013
   Oliveira de J.A.S., 2018, International Journal of Innovation Studies, V2, P153, DOI 10.1016/j.ijis.2019.03.001
   Rezende LD, 2019, J CLEAN PROD, V233, P993, DOI 10.1016/j.jclepro.2019.06.135
   Safiullah S., 2022, Risk, DOI [10.2139/ssrn.4122777, DOI 10.2139/SSRN.4122777]
   Su T, 2023, ENVIRON IMPACT ASSES, V101, DOI 10.1016/j.eiar.2023.107128
   Trumpp C, 2017, BUS STRATEG ENVIRON, V26, P49, DOI 10.1002/bse.1900
   Viardot E, 2013, ENERG POLICY, V63, P756, DOI 10.1016/j.enpol.2013.08.034
   Wagner M, 2005, J ENVIRON MANAGE, V76, P105, DOI 10.1016/j.jenvman.2004.11.021
   Wang DS, 2019, INT J INOV SCI, V11, P227, DOI 10.1108/IJIS-04-2018-0049
   Whalen R, 2020, J EMPIR LEGAL STUD, V17, P615, DOI 10.1111/jels.12261
   Wu J, 2022, J CLEAN PROD, V344, DOI 10.1016/j.jclepro.2022.131070
   Xu J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195328
   Yang G, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0277879
   Yao SY, 2021, ENERG ECON, V101, DOI 10.1016/j.eneco.2021.105415
   Yao YH, 2020, TECHNOL ANAL STRATEG, V32, P1020, DOI 10.1080/09537325.2020.1739263
   Zhang HF, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182211974
   Zhang K, 2021, J ENVIRON MANAGE, V298, DOI 10.1016/j.jenvman.2021.113445
   Zhou S, 2019, ENERGY RES SOC SCI, V51, P1, DOI 10.1016/j.erss.2018.12.011
   Zhu JM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12213-6
NR 62
TC 0
Z9 0
U1 26
U2 28
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2024
VL 16
IS 11
AR 4321
DI 10.3390/su16114321
PG 23
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA UA2M7
UT WOS:001245277300001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Berseth, V
AF Berseth, Valerie
TI Should we adapt nature to climate change? Weighing the risks of
   selective breeding in Pacific salmon
SO ENVIRONMENTAL SOCIOLOGY
LA English
DT Article
DE Climate change; adaptation; risk; wildlife conservation; selective
   breeding; genomics
ID CONSERVATION; HATCHERIES; MANAGEMENT; PERCEPTION; GOVERNANCE; SOCIOLOGY;
   COAST; FISH
AB This paper uses the case of genomics-assisted selective breeding in Pacific salmon hatcheries to investigate how people weigh the risks of adapting nature to changing climate conditions. Drawing on 105 interviews with people involved in salmon management, this study embeds risk assessments of selective breeding in the context of present interventions into salmon life cycles. While responses to novel technologies are frequently plotted along a support-opposition continuum, the debate over selective breeding Pacific salmon is multivalent, with respondents supporting selective breeding in some contexts while opposing it in others. Nearly half of respondents supported selective breeding to fix the mistakes of past interventions and rewild salmon. Given that past problems have stemmed from technological responses, these findings paradoxically suggest that further interventions may not necessarily be perceived as violating values of naturalness or wildness. Genomic technologies offer new pathways for climate adaptation. In doing so, they expand ethical debates about the role of humans and novel technologies in conserving and managing wildlife.
C1 [Berseth, Valerie] Univ British Columbia, Dept Sociol, Vancouver, BC, Canada.
C3 University of British Columbia
RP Berseth, V (corresponding author), Univ British Columbia, Dept Sociol, Vancouver, BC, Canada.
EM valerieberseth@alumni.ubc.ca
FU Social Sciences and Humanities Research Council of Canada; Genome
   Canada; Genome Quebec; Genome BC
FX This work was supported by the Social Sciences and Humanities Research
   Council of Canada, Genome Canada, Genome Quebec, and Genome BC.
CR Anderson JH., 2020, A review of hatchery reform science in Washington State. Final Report to the Washington Fish and Wildlife Commission
   Asayama S, 2017, GEOFORUM, V80, P82, DOI 10.1016/j.geoforum.2017.01.012
   Attride-Stirling J., 2001, QUALITATIVE RES, V1, P385, DOI [10.1177/146879410100100307, DOI 10.1177/146879410100100307]
   Beacham TD, 2019, EVOL APPL, V12, P230, DOI 10.1111/eva.12711
   Bellamy R, 2017, GLOBAL ENVIRON CHANG, V45, P194, DOI 10.1016/j.gloenvcha.2017.06.004
   Berseth V., 2022, THESIS U BRIT COLUMB
   Berseth V, 2021, ENVIRON PLAN E-NAT, V4, P1077, DOI 10.1177/2514848620945315
   Bissett K., 2019, CTV NEWS
   Blue G, 2021, PUBLIC UNDERST SCI, V30, P455, DOI 10.1177/0963662520982540
   Bowden G, 2017, CAN REV SOCIOL, V54, P48, DOI 10.1111/cars.12138
   Cairns R, 2014, GLOBAL ENVIRON CHANG, V28, P25, DOI 10.1016/j.gloenvcha.2014.04.005
   Carter L, 2021, TRANSGENIC RES, V30, P155, DOI 10.1007/s11248-021-00233-2
   Christie MR, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10676
   Christie MR, 2014, EVOL APPL, V7, P883, DOI 10.1111/eva.12183
   Clement S, 2018, J ENVIRON MANAGE, V208, P36, DOI 10.1016/j.jenvman.2017.12.013
   Colombi B.J., 2012, American Indian Quarterly, V36, P75, DOI [10.5250/amerindiquar.36.1.0075, DOI 10.5250/AMERINDIQUAR.36.1.0075, 10.1353/aiq.2012.a464480, DOI 10.1353/AIQ.2012.A464480]
   Cox S., 2020, NARWHAL 1222
   Cronon W., 1996, Environmental history, V1, P20
   Dafoe A, 2015, SCI TECHNOL HUM VAL, V40, P1047, DOI 10.1177/0162243915579283
   Dyrset G, 2022, FISHERIES MANAG ECOL, V29, P131, DOI 10.1111/fme.12522
   Ebbin SA, 2011, SOC NATUR RESOUR, V24, P148, DOI 10.1080/08941920903468639
   Fisheries and Oceans Canada (DFO), 2018, MAJ SEP PROJ
   Fisheries and Oceans Canada (DFO), 1983, SALM ENH NEWF LABR
   Fisheries and Oceans Canada (DFO), 2005, WILD SALM POL
   Gannon KE, 2018, GEO-GEOGR ENVIRON, V5, DOI 10.1002/geo2.54
   Giddens A., 1990, CONSEQUENCES MODERNI
   Hagerman SM, 2014, ECOL APPL, V24, P548, DOI 10.1890/13-0400.1
   Hansen A, 2006, MEDIA CULT SOC, V28, P811, DOI 10.1177/0163443706067026
   Harrison H.L., 2019, PEOPLE NAT, P14
   Harrison HL, 2019, ECOL SOC, V24, DOI 10.5751/ES-10945-240313
   Hawkins T.J., 2019, THESIS U BRIT COLUMB
   Hoogendoorn G, 2021, RISK ANAL, V41, P141, DOI 10.1111/risa.13619
   Jones NA, 2014, ECOL SOC, V19, DOI 10.5751/ES-06248-190113
   Kochalski S, 2019, CONSERV BIOL, V33, P164, DOI 10.1111/cobi.13180
   Kohl PA, 2019, CONSERV BIOL, V33, P1286, DOI 10.1111/cobi.13310
   Lackey RT, 2003, REV FISH SCI, V11, P35, DOI 10.1080/16226510390856529
   Lidskog Rolf., 2016, Environmental Sociology, V2, P395, DOI [DOI 10.1080/23251042.2016.1210841, https://doi.org/10.1080/23251042.2016.1210841]
   Lill A.F., 1985, CAN WATER RESOUR J, V10, P11, DOI [10.4296/cwrj1002011, DOI 10.4296/CWRJ1002011]
   Longo StefanoB., 2015, The Tragedy of the Commodity
   Lorenzen K, 2012, BIOL REV, V87, P639, DOI 10.1111/j.1469-185X.2011.00215.x
   MacKinlay DD, 2004, AM FISH S S, V44, P57
   MEFFE GK, 1992, CONSERV BIOL, V6, P350, DOI 10.1046/j.1523-1739.1992.06030350.x
   Minteer B., 2015, After Preservation: Saving American Nature in the Age of Humans
   Naish KA, 2008, ADV MAR BIOL, V53, P61, DOI 10.1016/S0065-2881(07)53002-6
   North Pacific Anadromous Fish Commission (NPAFC), 2018, NPAFC STAT PAC SALM
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Raimi KT, 2020, RISK ANAL, V40, P638, DOI 10.1111/risa.13414
   Scheer D, 2014, CLIMATIC CHANGE, V125, P305, DOI 10.1007/s10584-014-1177-1
   Shepherd B. G., 1999, Proceedings of a Conference on the Biology and Management of Species and Habitats at Risk, Kamloops, BC, V15, P609
   Shiva V., 2017, WILDNESS RELATIONS P, P228
   Siipi H, 2008, ETHICS ENVIRON, V13, P71, DOI 10.2979/ETE.2008.13.1.71
   Silver JJ, 2022, AM NAT, V200, P168, DOI 10.1086/720152
   Snow ChiefJohn., 2005, THESE MOUNTAINS ARE
   Surprise K, 2020, ENVIRON PLAN E-NAT, V3, P141, DOI 10.1177/2514848619844771
   Taylor D.E., 2016, RISE AM CONSERVATION
   Taylor JosephE., 1999, Making Salmon: An Environmental History o fthe Northwest Fisheries Crisis
   Thomas G, 2018, ENERGY RES SOC SCI, V46, P1, DOI 10.1016/j.erss.2018.06.007
   Thornton T, 2015, HUM ECOL, V43, P189, DOI 10.1007/s10745-015-9747-z
   Vannini P., 2016, WILDERNESS
   Visschers VHM, 2017, CLIMATIC CHANGE, V142, P531, DOI 10.1007/s10584-017-1970-8
   Wong CML, 2018, J RISK RES, V21, P1077, DOI 10.1080/13669877.2017.1422783
   Wuerthner George., 2014, Keeping the Wild: Against the Domestication of Earth
   Zinn J. O., 2016, ENVIRON SOCIOL, V2, P385, DOI DOI 10.1080/23251042.2016.1233605
NR 63
TC 3
Z9 4
U1 0
U2 10
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2325-1042
J9 ENVIRON SOCIOL
JI Envir. Sociol.
PD JAN 2
PY 2023
VL 9
IS 1
BP 20
EP 30
DI 10.1080/23251042.2022.2144476
EA NOV 2022
PG 11
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA 8G5LN
UT WOS:000882861400001
DA 2025-01-10
ER

PT J
AU Bora, K
AF Bora, Kaushik
TI Rainfall shocks and fertilizer use: a district level study of India
SO ENVIRONMENT AND DEVELOPMENT ECONOMICS
LA English
DT Article
DE climate adaptation; droughts; fertilizer; irrigation; rainfall shocks
ID CLIMATE-CHANGE; AGRICULTURAL PRODUCTIVITY; NUTRIENT IMBALANCES; DUMMY
   VARIABLES; MORAL HAZARD; YIELD; RISK; DECISIONS; WEATHER; IMPACT
AB In the context of climate change and increasing occurrences of extreme events, it is essential to understand farmers' responses to weather shocks and adaptations. This paper uses a panel dataset of 311 selected Indian districts ranging from 1966 to 2009 to investigate how application of chemical fertilizers varies in response to rainfall shocks. Two rainfall shock measures are constructed based on deviation in rainfall from the normal, a categorical measure of rainfall shock; and another, a continuous index of negative rainfall deviation. Based on a panel fixed effect regression, the study finds no apparent reduction in the level of fertilizer use in negative rainfall shock years. However, with a one-year lagged rainfall shock, a reduction in fertilizer application rate is observed for the continuous drought index. Further, exposure to higher intensity droughts in the previous year leads to an increase in the amount of fertilizer application in the current year.
C1 [Bora, Kaushik] Indian Stat Inst, Bangalore Ctr, Econ Anal Unit, Bangalore, Karnataka, India.
C3 Indian Statistical Institute; Indian Statistical Institute Bangalore
RP Bora, K (corresponding author), Indian Stat Inst, Bangalore Ctr, Econ Anal Unit, Bangalore, Karnataka, India.
EM kaushikbora1991@gmail.com
RI Bora, Kaushik/IUO-3187-2023
OI Bora, Kaushik/0000-0003-1259-1955
CR Abrol Y., 2007, Agricultural nitrogen use and its environmental implications
   Aditya K.S., 2018, Agricultural Economics Research Review, V31, P163, DOI DOI 10.5958/0974-0279.2018.00034.4
   Aggarwal PK, 2002, CLIMATIC CHANGE, V52, P331, DOI 10.1023/A:1013714506779
   Alem Y, 2010, AGR ECON-BLACKWELL, V41, P165, DOI 10.1111/j.1574-0862.2009.00436.x
   Amare M, 2018, AGR SYST, V166, P79, DOI 10.1016/j.agsy.2018.07.014
   Anindita Sarkar Anindita Sarkar, 2011, Economic and Political Weekly, V46, P61
   [Anonymous], 2013, Turn Down the Heat: Climate Extremes, Regional Impacts, and the Case for Resilience
   [Anonymous], 2005, Fertilizer Use by Crop in Egypt
   Auffhammer M, 2012, CLIMATIC CHANGE, V111, P411, DOI 10.1007/s10584-011-0208-4
   Babcock B. A., 1992, Review of Agricultural Economics, V14, P271, DOI 10.2307/1349506
   Babcock BA, 1996, AM J AGR ECON, V78, P416, DOI 10.2307/1243713
   Barnwal P, 2013, ECOL ECON, V87, P95, DOI 10.1016/j.ecolecon.2012.11.024
   Below F., 2001, 2001 AGR FIELD DAY U
   Bharadwaj K., 1974, PRODUCTION CONDITION
   Birner R., 2011, INT FOOD POLICY RES
   Birthal P. S., 2019, Agricultural Economics Research Review, V32, P11, DOI 10.5958/0974-0279.2019.00002.8
   Birthal PS, 2019, AGR SYST, V173, P345, DOI 10.1016/j.agsy.2019.03.005
   Birthal PS, 2015, FOOD POLICY, V56, P1, DOI 10.1016/j.foodpol.2015.07.005
   Chand R, 2009, MARGIN, V3, P409, DOI 10.1177/097380100900300404
   Chen S, 2021, J DEV ECON, V148, DOI 10.1016/j.jdeveco.2020.102557
   Cole S, 2013, AM ECON J-APPL ECON, V5, P104, DOI 10.1257/app.5.1.104
   Croppenstedt A., 2003, Review of Development Economics, V7, P58, DOI [DOI 10.1111/1467-9361.00175, 10.1111/1467-9361.00175]
   Dercon S, 2011, J DEV ECON, V96, P159, DOI 10.1016/j.jdeveco.2010.08.003
   Drechsel P., 2015, Managing water and fertilizer for sustainable agricultural intensification, V2nd
   Emerick K, 2018, J DEV ECON, V135, P488, DOI 10.1016/j.jdeveco.2018.08.013
   Fishman R, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/2/024004
   Fontes F, 2020, ENVIRON DEV ECON, V25, P459, DOI 10.1017/S1355770X2000011X
   Ghosh A., 2014, AGRAR S J POLITICAL, V3, P403
   Government of India, 2017, AGR STAT GLANCE 2016
   Gulati A., 2015, 307 ICRIER
   Gupta S, 2014, CLIM CHANG ECON, V5, DOI 10.1142/S2010007814500018
   Haider H, 2018, WORLD DEV, V105, P310, DOI 10.1016/j.worlddev.2017.11.012
   HALVORSEN R, 1980, AM ECON REV, V70, P474
   Heisse C., 2019, SOAS DEP EC WORKING
   ICRISAT-TCI, 2015, DISTR LEV DAT DLD IN
   Iizumi T, 2015, GLOB FOOD SECUR-AGR, V4, P46, DOI 10.1016/j.gfs.2014.11.003
   Jagnani M, 2021, ECON J, V131, P392, DOI 10.1093/ej/ueaa063
   Kaliba A.R., 2000, Journal of Agricultural and Applied Economics, V32, P35, DOI [DOI 10.1017/S1074070800027802, 10.1017/S1074070800027802]
   Karim MR, 2015, WEATHER CLIM EXTREME, V7, P24, DOI 10.1016/j.wace.2014.10.004
   Katengeza SP, 2019, ECOL ECON, V156, P134, DOI 10.1016/j.ecolecon.2018.09.018
   KENNEDY PE, 1981, AM ECON REV, V71, P801
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Kumar KSK, 2001, GLOBAL ENVIRON CHANG, V11, P147, DOI 10.1016/S0959-3780(01)00004-8
   Kumar P., 2014, ECON POLIT WEEKLY, V49, P54
   Kurosaki T., 2015, Review of Agrarian Studies, V5, P1
   Kusunose Y, 2020, J AFR ECON, V29, P375, DOI 10.1093/jae/ejz031
   Lamb RL, 2003, AM J AGR ECON, V85, P359, DOI 10.1111/1467-8276.00125
   Lobell DB, 2009, ANNU REV ENV RESOUR, V34, P179, DOI 10.1146/annurev.environ.041008.093740
   Mahajan K, 2017, WORLD DEV, V91, P156, DOI 10.1016/j.worlddev.2016.11.004
   Mall RK, 2006, CLIMATIC CHANGE, V78, P445, DOI 10.1007/s10584-005-9042-x
   McArthur JW, 2017, J DEV ECON, V127, P133, DOI 10.1016/j.jdeveco.2017.02.007
   Mishra AK, 2005, J ENVIRON MANAGE, V74, P11, DOI 10.1016/j.jenvman.2004.08.003
   Mohanam T.C., 2002, DETERMINANTS FERTILI
   Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420
   Murari KK., 2018, REV AGRAR STUD, V8
   Murari KK., 2017, SMALL FARMERS FARE, P201
   NAGARAJ R, 1983, ECON POLIT WEEKLY, V18, pA2
   Nyssen J, 2017, AGR ECOSYST ENVIRON, V249, P256, DOI 10.1016/j.agee.2017.07.037
   Palmer-Jones R, 2003, J DEV STUD, V40, P1, DOI 10.1080/00220380412331293647
   Pandey S., 2007, EC COSTS DROUGHT RIC
   Parikh K. S., 1978, Economic and Political Weekly, V13, pA2
   Pattanayak A, 2014, CLIM CHANG ECON, V5, DOI 10.1142/S2010007814500110
   Paulson ND, 2010, J AGR RESOUR ECON, V35, P368
   Plett DC, 2020, J EXP BOT, V71, P4452, DOI 10.1093/jxb/eraa049
   Powell JP, 2016, WEATHER CLIM EXTREME, V12, P69, DOI 10.1016/j.wace.2016.02.003
   Raghav Gaiha Raghav Gaiha, 2004, Oxford Development Studies, V32, P261, DOI 10.1080/13600810410001699984
   Raghavan M., 2008, Economic and Political Weekly, V43, P123
   Ramesh Chand Ramesh Chand, 2012, Economic and Political Weekly, V47, P55
   Ren CC, 2021, J ENVIRON MANAGE, V293, DOI 10.1016/j.jenvman.2021.112913
   ROSENZWEIG MR, 1993, ECON J, V103, P56, DOI 10.2307/2234337
   Selvaraj K. N., 2006, Economic and Political Weekly, V41, P2739
   Sharma V. P., 2011, Indian Journal of Agricultural Economics, V66, P638
   Sheahan Megan., 2014, WORLD BANK POLICY RE
   Singh M., 2013, 201213 AICRPLTFE ICA
   Sivakumar MVK., 1983, ALF SEM TROP CONS WO
   Srinivasan JT., 2019, ECOLOGY EC SOC THE I, V2, P45
   SRIRAMARATNAM S, 1987, AM J AGR ECON, V69, P349, DOI 10.2307/1242285
   Srivastava S. K., 2017, Agricultural Economics Research Review, V30, P171
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Sulochana Gadgil Sulochana Gadgil, 2006, Economic and Political Weekly, V41, P4887
   Takeshima H, 2014, FOOD POLICY, V47, P1, DOI 10.1016/j.foodpol.2014.04.009
   Taraz V, 2018, WORLD DEV, V112, P205, DOI 10.1016/j.worlddev.2018.08.006
   Vaidyanathan A., 2010, AGR GROWTH INDIA ROL
   Venugopal P., 2004, INPUT MANAGEMENT, V8
   Vitousek PM, 2009, SCIENCE, V324, P1519, DOI 10.1126/science.1170261
   Wakeyo MB, 2013, AGR SYST, V114, P54, DOI 10.1016/j.agsy.2012.08.005
   Wood SA, 2014, GLOBAL ENVIRON CHANG, V25, P163, DOI 10.1016/j.gloenvcha.2013.12.011
   Wu YY, 2018, P NATL ACAD SCI USA, V115, P7010, DOI 10.1073/pnas.1806645115
   Yu JS, 2020, AM J AGR ECON, V102, P826, DOI 10.1093/ajae/aaz035
   Yu TA, 2010, AM J AGR ECON, V92, P1310, DOI 10.1093/ajae/aaq074
   Zaveri E, 2020, P NATL ACAD SCI USA, V117, P10225, DOI 10.1073/pnas.1910719117
   Zaveri E, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12183-9
NR 92
TC 5
Z9 5
U1 1
U2 18
PU CAMBRIDGE UNIV PRESS
PI NEW YORK
PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA
SN 1355-770X
EI 1469-4395
J9 ENVIRON DEV ECON
JI Environ. Dev. Econ.
PD DEC
PY 2022
VL 27
IS 6
BP 556
EP 577
AR PII S1355770X21000413
DI 10.1017/S1355770X21000413
EA FEB 2022
PG 22
WC Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA 6A4VX
UT WOS:000754885800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Shokry, G
   Anguelovski, I
   Connolly, JJT
   Maroko, A
   Pearsall, H
AF Shokry, Galia
   Anguelovski, Isabelle
   Connolly, James J. T.
   Maroko, Andrew
   Pearsall, Hamil
TI "They Didn't See It Coming": Green Resilience Planning and Vulnerability
   to Future Climate Gentrification
SO HOUSING POLICY DEBATE
LA English
DT Article
DE climate gentrification; vulnerability; climate justice; resilience;
   green infrastructure; adaptation planning
ID URBAN ECOSYSTEM SERVICES; ENVIRONMENTAL GENTRIFICATION; SOCIAL
   VULNERABILITY; VACANT LAND; STORMWATER INFRASTRUCTURE; CITY; ADAPTATION;
   JUSTICE; HEALTH; SUSTAINABILITY
AB As cities strive to protect vulnerable residents from climate risks and impacts, recent studies have identified a challenging link between these measures and gentrification processes that reconfigure, but do not necessarily eliminate, climate insecurities. Green resilient infrastructure (GRI) may especially increase the vulnerability of lower income communities of color to gentrification, an issue that remains underexplored. Drawing on the forerunner green city of Philadelphia, Pennsylvania, as our case study, this article adopts a novel intersectional approach to assess overlapping and interdependent factors in generating vulnerability and resilience using spatial quantitative data and qualitative interviews with community-based organizers, nonprofits, and municipal stakeholders. More specifically, this article develops a new methodology to assess vulnerability to future climate gentrification and contributes to debates on the role of urban development, housing, and sustainability practices in climate justice dynamics. It also informs strategies that can reduce social and racial inequities in the context of climate adaptation planning.
C1 [Shokry, Galia; Anguelovski, Isabelle; Connolly, James J. T.] Univ Autonoma Barcelona, Inst Environm Sci & Technol, Barcelona, Spain.
   [Anguelovski, Isabelle] Univ Autonoma Barcelona, Inst Catalana Recerca & Estudis Avancats, Barcelona, Spain.
   [Connolly, James J. T.] Univ British Columbia, Sch Community & Reg Planning, Vancouver, BC, Canada.
   [Maroko, Andrew] CUNY, Grad Sch Publ Hlth & Hlth Policy, Dept Environm Occupat & Geospatial Hlth Sci, New York, NY USA.
   [Pearsall, Hamil] Temple Univ, Geog & Urban Studies Dept, Philadelphia, PA USA.
C3 Autonomous University of Barcelona; ICREA; Autonomous University of
   Barcelona; University of British Columbia; City University of New York
   (CUNY) System; Pennsylvania Commonwealth System of Higher Education
   (PCSHE); Temple University
RP Shokry, G (corresponding author), Univ Autonoma Barcelona, Inst Environm Sci & Technol, Barcelona, Spain.
EM galia.shokry@uab.cat
RI Connolly, James/AAZ-6161-2021; Shokry, Galia/ABP-5934-2022
OI Shokry, Galia/0000-0002-2959-3677; Anguelovski,
   Isabelle/0000-0002-6409-5155; Maroko, Andrew/0000-0002-9398-2386
FU European Research Council (ERC) [GA678034]; Maria de Maeztu Unit of
   Excellence [CEX2019-000940-M]
FX This work was supported by the European Research Council (ERC) [grant
   number GA678034]; and the Maria de Maeztu Unit of Excellence [grant
   number: CEX2019-000940-M] awarded to the Institute for Environmental
   Science and Technology, Universitat Autonoma de Barcelona.
CR Adams Carolyn., 1991, PHILADELPHIA NEIGHBO
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Agyeman Julian., 2013, Introducing Just Sustainabilities: Policy, Planning, and Practice
   Al-Kodmany A., 2005, THESIS
   Anderson B.E., 2018, STATE BLACK PHILADEL
   Anguelovski I., 2018, City, V22, P417, DOI DOI 10.1080/13604813.2018.1473126
   Anguelovski I, 2020, ANN AM ASSOC GEOGR, V110, P1743, DOI 10.1080/24694452.2020.1740579
   Anguelovski I, 2019, P NATL ACAD SCI USA, V116, P26139, DOI 10.1073/pnas.1920490117
   Anguelovski I, 2019, PROG HUM GEOG, V43, P1064, DOI 10.1177/0309132518803799
   Anguelovski I, 2018, URBAN GEOGR, V39, P458, DOI 10.1080/02723638.2017.1349987
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2003, RISE RUSTBELT REPRIN
   [Anonymous], 2009, GREEN CIT CLEAN WAT
   Arbaci S, 2012, EUR URBAN REG STUD, V19, P287, DOI 10.1177/0969776412441110
   Aylett A, 2015, URBAN CLIM, V14, P4, DOI 10.1016/j.uclim.2015.06.005
   Banuelos R., 2013, NOT CULLY ANTIDISPLA
   Baptiste AK, 2015, LANDSCAPE URBAN PLAN, V136, P1, DOI 10.1016/j.landurbplan.2014.11.012
   Bates L., 2013, PORTLAND STATE U LIB, DOI 10.15760/report-01
   BCNUEJ, 2021, POL PLANN TOOLS URB
   BEAUREGARD RA, 1990, ENVIRON PLANN A, V22, P855, DOI 10.1068/a220855
   Bezanson K., 2006, PUBLIC POLICY SOCIAL
   Bigger P, 2020, ENVIRON PLAN E-NAT, V3, P601, DOI 10.1177/2514848619876539
   Black SE, 1999, Q J ECON, V114, P577, DOI 10.1162/003355399556070
   Blok A, 2020, URBAN STUD, V57, P2803, DOI 10.1177/0042098019891050
   Boger JC, 2005, SCHOOL RESEGREGATION: MUST THE SOUTH TURN BACK, P305
   Boulton C, 2018, LANDSCAPE URBAN PLAN, V178, P82, DOI 10.1016/j.landurbplan.2018.05.029
   Branas CC, 2018, P NATL ACAD SCI USA, V115, P2946, DOI 10.1073/pnas.1718503115
   Brand AL, 2020, J PLAN LIT, DOI 10.1177/0885412220928575
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Brown-Saracino J., 2013, GENTRIFICATION DEBAT, DOI DOI 10.4324/9781315881096
   Brownlow A, 2006, GEOFORUM, V37, P227, DOI 10.1016/j.geoforum.2005.02.009
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bunce S, 2009, LOCAL ENVIRON, V14, P651, DOI 10.1080/13549830903097740
   Byrne J, 2012, GEOFORUM, V43, P595, DOI 10.1016/j.geoforum.2011.10.002
   Byrne J, 2009, PROG HUM GEOG, V33, P743, DOI 10.1177/0309132509103156
   Candipan J, 2020, SOCIOL EDUC, V93, P215, DOI 10.1177/0038040720910128
   Carmichael CE, 2019, SOC NATUR RESOUR, V32, P588, DOI 10.1080/08941920.2018.1550229
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Checker M, 2011, CITY SOC, V23, P210, DOI 10.1111/j.1548-744X.2011.01063.x
   Connolly JJ, 2013, LANDSCAPE URBAN PLAN, V109, P76, DOI 10.1016/j.landurbplan.2012.07.001
   Connolly JJT, 2019, CITIES, V91, P64, DOI 10.1016/j.cities.2018.05.011
   Connolly JJT, 2018, CITY COMMUNITY, V17, P8, DOI 10.1111/cico.12282
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   COVINGTON J, 2016, URBAN AFFAIRS Q DOI
   Cucchiara M, 2008, J EDUC POLICY, V23, P165, DOI 10.1080/02680930701853088
   Cutter SL, 2000, ANN ASSOC AM GEOGR, V90, P713, DOI 10.1111/0004-5608.00219
   Dawkins C, 2016, HOUS POLICY DEBATE, V26, P801, DOI 10.1080/10511482.2016.1138986
   Derakhti L, 2020, URBAN SCI, V4, DOI 10.3390/urbansci4020020
   Dillon L, 2014, ANTIPODE, V46, P1205, DOI 10.1111/anti.12009
   Ding L, 2016, REG SCI URBAN ECON, V61, P38, DOI 10.1016/j.regsciurbeco.2016.09.004
   Dooling S, 2009, INT J URBAN REGIONAL, V33, P621, DOI 10.1111/j.1468-2427.2009.00860.x
   Douglas O, 2017, CITIES, V66, P53, DOI 10.1016/j.cities.2017.03.011
   Eakin H, 2008, GLOBAL ENVIRON CHANG, V18, P112, DOI 10.1016/j.gloenvcha.2007.09.001
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Essoka JonathanD., 2010, The Western Journal of Black Studies, V34, P299
   Fainstein S, 2015, INT J URBAN REGIONAL, V39, P157, DOI 10.1111/1468-2427.12186
   Ferrick T., 2017, NEXT CITY
   Figlio DN, 2004, AM ECON REV, V94, P591, DOI 10.1257/0002828041464489
   Finewood MH, 2019, ANN AM ASSOC GEOGR, V109, P909, DOI 10.1080/24694452.2018.1507813
   Finney C, 2014, BLACK FACES, WHITE SPACES: REIMAGINING THE RELATIONSHIP OF AFRICAN AMERICANS TO THE GREAT OUTDOORS, P1
   Fitzgerald J, 2017, LOCAL ENVIRON, V22, P256, DOI 10.1080/13549839.2016.1191063
   Fitzgibbons J, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.102997
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Garcia-Lamarca M, 2021, URBAN STUD, V58, P90, DOI 10.1177/0042098019885330
   GCC, 2016, GEORG CLIM CTR GREEN
   Godwin R., 2010, School choice tradeoffs: Liberty, equity, and diversity
   Gould K. A., 2017, Green Gentrification: Urban Sustainability and the Struggle for Environmental Justice, DOI DOI 10.4324/9781315687322
   Gould KA, 2018, CITY COMMUNITY, V17, P12, DOI 10.1111/cico.12283
   Graham L, 2016, GLOBAL ENVIRON CHANG, V40, P112, DOI 10.1016/j.gloenvcha.2016.07.001
   Grubesic TH, 2014, ANN ASSOC AM GEOGR, V104, P1134, DOI 10.1080/00045608.2014.958389
   Hackworth J, 2001, TIJDSCHR ECON SOC GE, V92, P464, DOI 10.1111/1467-9663.00172
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   Harper ET, 2020, INT J URBAN REGIONAL, V44, P55, DOI 10.1111/1468-2427.12842
   HARVEY D, 1989, GEOGR ANN B, V71, P3, DOI 10.2307/490503
   Heckert M, 2018, FRONT BUILT ENVIRON, V4, DOI 10.3389/fbuil.2018.00027
   Heckert M, 2016, URBAN FOR URBAN GREE, V19, P263, DOI 10.1016/j.ufug.2015.12.011
   Heckert M, 2012, ENVIRON PLANN A, V44, P3010, DOI 10.1068/a4595
   Heynen N, 2006, URBAN AFF REV, V42, P3, DOI 10.1177/1078087406290729
   Hughes S, 2015, URBAN CLIM, V14, P17, DOI 10.1016/j.uclim.2015.06.003
   Hunter MarcusAnthony., 2013, Black Citymakers: How the Philadelphia Negro Changed Urban America
   Hwang J, 2016, URBAN AFF REV, V52, P98, DOI 10.1177/1078087415570643
   Hyra D, 2015, URBAN STUD, V52, P1753, DOI 10.1177/0042098014539403
   Immergluck D, 2018, URBAN GEOGR, V39, P546, DOI 10.1080/02723638.2017.1360041
   Immergluck D, 2009, URBAN STUD, V46, P1723, DOI 10.1177/0042098009105500
   Jarvis H, 2005, TIME SOC, V14, P133, DOI 10.1177/0961463X05050302
   Johns CM, 2019, J ENVIRON PLANN MAN, V62, P1377, DOI 10.1080/09640568.2018.1496072
   Kaika M, 2017, ENVIRON URBAN, V29, P89, DOI 10.1177/0956247816684763
   Keenan JM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabb32
   Kimelberg SM, 2013, URBAN EDUC, V48, P198, DOI 10.1177/0042085912449629
   Kirk DS, 2011, AM J SOCIOL, V116, P1190, DOI 10.1086/655754
   Kondo MC, 2020, LANCET PLANET HEALTH, V4, pE149, DOI 10.1016/S2542-5196(20)30058-9
   Kotsila P, 2021, ENVIRON PLAN E-NAT, V4, P252, DOI 10.1177/2514848620901437
   Langemeyer J, 2020, ENVIRON SCI POLICY, V109, P1, DOI 10.1016/j.envsci.2020.03.021
   Lees L., 2008, Gentrification
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Levy D., 2006, FACE GENTRIFICATION
   Li L, 2018, CITIES, V74, P126, DOI 10.1016/j.cities.2017.11.013
   Long JH, 2016, URBAN STUD, V53, P149, DOI 10.1177/0042098014560501
   Maantay J.A., 2013, Urban Land Use, VVolume 1, P10
   Maantay J, 2007, HEALTH PLACE, V13, P32, DOI 10.1016/j.healthplace.2005.09.009
   Maantay JA, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15102233
   Mackenzie C., 2013, VULNERABILITY NEW ES, P1
   Madden S., 2010, THESIS MIT
   Mandarano L, 2017, LOCAL ENVIRON, V22, P1338, DOI 10.1080/13549839.2017.1345878
   Mathbor GM, 2007, INT SOC WORK, V50, P357, DOI 10.1177/0020872807076049
   McClintock N, 2018, ANN AM ASSOC GEOGR, V108, P579, DOI 10.1080/24694452.2017.1365582
   MCDONALD SC, 1986, CRIME JUSTICE, V8, P163, DOI 10.1086/449122
   McGovern SJ, 2013, J PLAN EDUC RES, V33, P310, DOI 10.1177/0739456X13481246
   McKittrick Katherine., 2007, BLACK GEOGRAPHIES PO, P1
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Mitchell A., 2009, SPATIAL MEASUREMENTS
   Mohai P, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/115008
   Newburn DA, 2016, WATER RESOUR RES, V52, P1345, DOI 10.1002/2015WR018063
   Newman K, 2006, URBAN STUD, V43, P23, DOI 10.1080/00420980500388710
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   Papachristos AV, 2011, CITY COMMUNITY, V10, P215, DOI 10.1111/j.1540-6040.2011.01371.x
   Park LisaSun-Hee., 2011, SLUMS ASPEN IMMIGRAN
   Pattillo M, 2013, ANNU REV SOCIOL, V39, P509, DOI 10.1146/annurev-soc-071312-145611
   Pearsall H, 2020, LANDSCAPE URBAN PLAN, V195, DOI 10.1016/j.landurbplan.2019.103708
   Pearsall H, 2017, APPL GEOGR, V79, P84, DOI 10.1016/j.apgeog.2016.12.010
   Pearsall H, 2016, SOCIOL RES ONLINE, V21, DOI 10.5153/sro.3979
   Pearsall H, 2012, LOCAL ENVIRON, V17, P1013, DOI 10.1080/13549839.2012.714762
   Pearsall H, 2010, ENVIRON PLANN C, V28, P872, DOI 10.1068/c08126
   Pearson R, 2015, FEMINIST REV, P8, DOI 10.1057/fr.2014.42
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pellow DN, 2016, DU BOIS REV, V13, P221, DOI 10.1017/S1742058X1600014X
   PEW Charitable Trusts, 2020, STAT HOUS AFF PHIL
   Pew Charitable Trusts, 2016, Philadelphia's Changing Neighborhoods
   Philadelphia OOS, 2009, GREENW PHIL
   Pollack CE, 2009, AM J PUBLIC HEALTH, V99, P1833, DOI 10.2105/AJPH.2009.161380
   Pulido L, 2017, PROG HUM GEOG, V41, P524, DOI 10.1177/0309132516646495
   Pulido Laura., 2016, CAPITALISM NATURE SO, V27, P12, DOI DOI 10.1080/10455752.2016.1146782
   Quastel N, 2012, URBAN GEOGR, V33, P1055, DOI 10.2747/0272-3638.33.7.1055
   Quercia R, 2008, HOUSING STUD, V23, P461, DOI 10.1080/02673030802020627
   Rainham D, 2010, SOC SCI MED, V70, P668, DOI 10.1016/j.socscimed.2009.10.035
   Ranganathan M., 2019, ANTIPODE, V52, P270
   Ransome Y, 2017, JAIDS-J ACQ IMM DEF, V76, P13, DOI 10.1097/QAI.0000000000001463
   Reynolds CL, 2014, J REGIONAL SCI, V54, P1, DOI 10.1111/jors.12035
   Richardson J., 2020, GENTRIFICATION DISIN
   Richardson JasonBruce Mitchell Juan Franco., 2019, SHIFTING NEIGHBORHOO
   Rigolon A, 2018, CITIES, V81, P71, DOI 10.1016/j.cities.2018.03.016
   Roberts, 2012, THESIS
   Rosan ChristinaPearsall., 2017, GROWING SUSTAINABLE
   Ruhm CJ, 2011, FUTURE CHILD, V21, P37
   Safransky S, 2017, ANTIPODE, V49, P1079, DOI 10.1111/anti.12225
   Safransky S, 2014, GEOFORUM, V56, P237, DOI 10.1016/j.geoforum.2014.06.003
   Schaller S, 2018, URBAN GEOGR, V39, P54, DOI 10.1080/02723638.2016.1276719
   Shaw WendyS., 2005, Gentrification in a Global Context
   Shi L, 2021, URBAN AFF REV, V57, P1442, DOI 10.1177/1078087419910827
   Shokry G, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100539
   SMITH N, 1979, J AM PLANN ASSOC, V45, P538, DOI 10.1080/01944367908977002
   Smith N., 2013, Gentrification of the City
   Smith N., 2005, NEW URBAN FRONTIER G
   Stokes RJ, 2014, LOCAL ENVIRON, V19, P402, DOI 10.1080/13549839.2013.788484
   Taub RichardP., 1984, PATHS NEIGHBORHOOD C
   Teicher HM, 2018, URBAN CLIM, V25, P9, DOI 10.1016/j.uclim.2018.04.008
   Tozer L, 2020, CITIES, V107, DOI 10.1016/j.cities.2020.102892
   Triguero-Mas M, 2015, ENVIRON INT, V77, P35, DOI 10.1016/j.envint.2015.01.012
   Tubridy D, 2021, EUR PLAN STUD, V29, P369, DOI 10.1080/09654313.2020.1757625
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   U.S. EPA O, 2015, GREEN INFRASTRUCTURE
   Uittenbroek CJ, 2016, INT J CLIM CHANG STR, V8, P38, DOI 10.1108/IJCCSM-06-2014-0069
   Vale L., 2016, INT PLANNING HIST SO, DOI 10.7480/IPHS.2016.2.1692
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Van Zandt S, 2012, HOUS POLICY DEBATE, V22, P29, DOI 10.1080/10511482.2011.624528
   Weber R, 2010, ECON GEOGR, V86, P251
   Weininger E.B., 2014, Choosing Homes, Choosing Schools, DOI DOI 10.17763/0017-8055.85.2.279
   While A, 2004, INT J URBAN REGIONAL, V28, P549, DOI 10.1111/j.0309-1317.2004.00535.x
   Whitehead M, 2013, URBAN STUD, V50, P1348, DOI 10.1177/0042098013480965
   Whittle HJ, 2015, SOC SCI MED, V143, P154, DOI 10.1016/j.socscimed.2015.08.027
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Woodru SC, 2016, NAT CLIM CHANGE, V6, P796, DOI 10.1038/NCLIMATE3012
   Wynne L, 2021, HOUS POLICY DEBATE, V31, P395, DOI 10.1080/10511482.2020.1772337
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
   Zografos C, 2020, CITIES, V99, DOI 10.1016/j.cities.2020.102613
   ZUKIN S, 1987, ANNU REV SOCIOL, V13, P129, DOI 10.1146/annurev.so.13.080187.001021
NR 177
TC 29
Z9 36
U1 10
U2 98
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1051-1482
EI 2152-050X
J9 HOUS POLICY DEBATE
JI Hous. Policy Debate
PD JAN 2
PY 2022
VL 32
IS 1
SI SI
BP 211
EP 245
DI 10.1080/10511482.2021.1944269
EA SEP 2021
PG 35
WC Development Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Urban Studies
GA YN0ZJ
UT WOS:000694746400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Sarmiento, H
AF Sarmiento, Hugo
TI Financing climate-related resettlements in uneven geographies of risk:
   Lessons from Bogota Humana
SO JOURNAL OF URBAN AFFAIRS
LA English
DT Article; Early Access
ID ADAPTATION; VULNERABILITY; EQUITY
AB With the growing prominence of climate change in development discourse, the practice of resettling households vulnerable to disasters is increasingly promoted as a strategy for climate adaptation. This study focuses on the Bogota Humana development plan (2012-2016) in which Bogota, a regional leader in resilience planning, first tied its resettlement policy to a broader adaptation strategy. Specifically, the study analyzes the creation of a new municipal subsidy to finance resettlements in the context of Bogota's complex and uneven geography of risk. Data for the study was collected through a household survey of program participants, interviews of city officials, site visits in Bogota and a review of Colombian census data. The study finds that despite the unprecedented size of the city's investment in resettlements during this period, it largely failed to meet the plan's goals. Its uniform financing and large-scale resettlement strategy failed to account for varying levels of risk produced by informal development. Consequently, Bogota Humana's climate resettlements resulted in an inconsistent process generating resistance among residents.
C1 [Sarmiento, Hugo] Univ Illinois, Dept Urban & Reg Planning, 611 Lorado Taft Dr, Urbana, IL 61801 USA.
C3 University of Illinois System; University of Illinois Urbana-Champaign
RP Sarmiento, H (corresponding author), Univ Illinois, Dept Urban & Reg Planning, 611 Lorado Taft Dr, Urbana, IL 61801 USA.
EM hugos@illinois.edu
FU United Nation's Development Program (UNDP)
FX The city relied on technical analysis in a United Nation's Development
   Program (UNDP) sponsored project, the Integrated Regional Plan for
   Climate Change (PRICC), which presents climate model scenarios for the
   Bogota metropolitan area.
CR Agrawal Arun., 2005, ENVIRONMENTALITY TEC
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   Burkett Maxine, 2018, HARV CR 150 L REV, V53, P445
   Ceballos Olga., 2008, Vivienda Social en Colombia. Una Mirada desde su legislacion 1918-2005
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   Correa E., 2011, REASENTAMIENTO PREVE
   de Sherbinin A, 2011, SCIENCE, V334, P456, DOI 10.1126/science.1208821
   Castro JAG, 2019, ENVIRON URBAN, V31, P75, DOI 10.1177/0956247819827850
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   IDEAM, 2015, ESC CAMB CLIM PREC T
   Instituto Distrital de Gestion de Riesgos y Cambio Climaticos y Organizacion Internacional para las Migraciones, 2015, REAS FAM ALT RIESG B
   Joya S. R., 2009, IMPACTOS REASENTAMIE
   Lavell A, 2014, ENVIRON HAZARDS-UK, V13, P267, DOI 10.1080/17477891.2014.935282
   McAdam J, 2015, CAMB INT LAW J, V4, P137, DOI 10.7574/cjicl.04.01.137
   McDowell C, 2013, DEV POLICY REV, V31, P677, DOI 10.1111/dpr.12030
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Miller F, 2020, URBAN STUD, V57, P1570, DOI 10.1177/0042098019830239
   Montero S, 2020, URBAN STUD, V57, P2263, DOI 10.1177/0042098018798555
   Murray-Li Tania., 2007, The Will to Improve: Governmentality, Development, and the Practice of Politics
   Ossa M.R. S. de la., 2011, Los dilemas del reasentamiento: debates y experiencias de la Mesa Nacional de Dialogos sobre Reasentamiento de Poblacion
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Parias Duran A, 2010, BOGOTA TURN CENTURY
   Peet R, 2011, GLOBAL POLITICAL ECOLOGY, P1
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Rodriguez O.R., 2016, INFORME GESTION DIRE
   Rumbach A, 2017, J URBAN AFF, V39, P783, DOI 10.1080/07352166.2017.1282771
   Schlosberg D, 2017, ENVIRON POLIT, V26, P413, DOI 10.1080/09644016.2017.1287628
   Stults M, 2017, CLIM RISK MANAG, V17, P21, DOI 10.1016/j.crm.2017.06.004
   Tierney Kathleen., 2014, SOCIAL ROOTS RISK PR
   Ward P.M., 2014, Housing policy in Latin American cities: a new generation of strategies and approaches for 2016 UN-Habitat III
   Williams DS, 2019, ENVIRON URBAN, V31, P157, DOI 10.1177/0956247818819694
   Wisner B., 2004, AT RISK, V2nd
   World Bank , 2011, AN DIS RISK MAN COL
NR 33
TC 1
Z9 1
U1 1
U2 7
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 2020 JUN 20
PY 2020
DI 10.1080/073521662020.1760721
EA JUN 2020
PG 16
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA MH3YP
UT WOS:000546669200001
DA 2025-01-10
ER

PT J
AU Pandey, CL
AF Pandey, Chandra Lal
TI Managing urban water security: challenges and prospects in Nepal
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Urban water security; Climate change; Urbanization; Rapid population
   growth; Nepal
ID CLIMATE-CHANGE; GOVERNANCE; SCARCITY
AB Achieving water security is one of the major global challenges in the age of climate change, urbanization, population increase and incapacitated institutions. Despite the proliferation of water institutions and policies at national, provincial and local levels in Nepal, the slow response to address water scarcity is a puzzle, which we studied through this current research. We used a mixed method approach, which included 479 household surveys, eight city water forums and 16 interviews with the city-level water stakeholders and users in the two case study cities. We found that impacts of climate change and haphazard urbanization in supply side and increased population, and changing lifestyle patterns and socioeconomic practices in demand side are constantly putting pressures on water resources and urban water security. We argue that the challenges of climate change, rapid growth of urban population and haphazard urbanizations are building significant stress on urban water security; however, institutional responses, and reforms by introducing climate adaptive new plans and their implementation to address the tripatriate challenges, are inadequate.
C1 [Pandey, Chandra Lal] Kathmandu Univ, Sch Arts, Dept Dev Studies, Post Box 6250, Lalitpur, Nepal.
RP Pandey, CL (corresponding author), Kathmandu Univ, Sch Arts, Dept Dev Studies, Post Box 6250, Lalitpur, Nepal.
EM chandra.pandey@ku.edu.np
OI Pandey, Chandra Lal/0000-0003-1285-0232
FU Canadian International Development Research Center funded project
   "Climate Adaptive Water Management Plans for Cities in South Asia"
FX The author gratefully acknowledges the support provided by all the CAMPS
   team members of Southasia Institute of Advanced Studies. The study for
   this paper was supported by Canadian International Development Research
   Center funded project "Climate Adaptive Water Management Plans for
   Cities in South Asia". None of the organizations credited here, or the
   one with which the author is associated, have any responsibilities or
   obligations related to the content of the paper, which is solely the
   work of the author.
CR Addams L., 2009, Charting our water future economic frameworks to inform decision-making
   [Anonymous], 2016, NEPAL WATER SUPPLY S
   [Anonymous], 2015, The Constitution of Nepal
   [Anonymous], 2018, Summary for policy makers of the IPCC Special Report on global warming of 1.5C
   [Anonymous], 2014, World's population increasingly urban with more than half living in urban areas
   [Anonymous], 2000, Towards water security: A framework for action
   [Anonymous], 1999, Environmental Indicators: Typology and Overview
   [Anonymous], 2007, ASIAN WATER DEV OUTL
   [Anonymous], 2011, WATER GOVERNANCE OEC
   [Anonymous], 1993, OECD CORE SET INDICA
   [Anonymous], 2014, SUMMARY POLICY MAKER
   [Anonymous], 2011, NATL POPULATION HOUS
   [Anonymous], 2006, WATER SHARED RESPONS
   [Anonymous], 2016, NATL CLIMATE CHANGE
   Asthana AN, 2012, WATER POLICY, V14, P112, DOI 10.2166/wp.2011.119
   Aylett A, 2015, URBAN CLIM, V14, P4, DOI 10.1016/j.uclim.2015.06.005
   Bakker K, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2013.0116
   Celio M, 2010, GEOGR J, V176, P39, DOI 10.1111/j.1475-4959.2009.00336.x
   Chiplunkar A., 2012, Good Practices in Urban Water Management: Decoding Good Practices for a Successful Future
   Cullet Philippe., 2009, EVOLUTION LAW POLITI, DOI DOI 10.1007/978-1-4020-9867-3_10
   Dahal N, 2019, CLIMATE, V7, DOI 10.3390/cli7010003
   Dhote K.K., 2014, INCLUSIVE URBANIZATI
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Distanont A., 2018, Kasetsart Journal of Social Sciences, V39, P374, DOI 10.1016/j.kjss.2017.07.015
   Eriksson M., 2009, The changing Himalayas: impact of climate change on water resources and livelihoods in the greater Himalayas
   Ferraro PJ, 2013, REV ECON STAT, V95, P64, DOI 10.1162/REST_a_00344
   Flörke M, 2018, NAT SUSTAIN, V1, P51, DOI 10.1038/s41893-017-0006-8
   Franzén F, 2015, LAND USE POLICY, V43, P217, DOI 10.1016/j.landusepol.2014.11.013
   Grafton RQ, 2017, WATER RESOUR MANAG, V31, P3023, DOI 10.1007/s11269-017-1606-9
   Grey D, 2007, WATER POLICY, V9, P545, DOI 10.2166/wp.2007.021
   Hoekstra AY, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaba52
   Hoekstra AY, 2000, PHYS CHEM EARTH PT B, V25, P221, DOI 10.1016/S1464-1909(00)00007-1
   Homer-Dixon T, 2015, ECOL SOC, V20, DOI 10.5751/ES-07681-200306
   Immerzeel WW, 2010, SCIENCE, V328, P1382, DOI 10.1126/science.1183188
   Larsen TA, 2016, SCIENCE, V352, P928, DOI 10.1126/science.aad8641
   Li H, 2016, WATER RESOUR MANAG, V30, P843, DOI 10.1007/s11269-015-1194-5
   Lundqvist J, 2003, PHILOS T R SOC B, V358, P1985, DOI 10.1098/rstb.2003.1382
   McDonald Robert I, 2011, Proc Natl Acad Sci U S A, V108, P6312, DOI 10.1073/pnas.1011615108
   Mirza MMQ., 2005, CLIMATE CHANGE WATER
   Muzzini E., 2013, URBAN GROWTH SPATIAL
   Nepal IUCN, 2011, INTEGRATED WATERSHED
   Padowski JC, 2016, WATER RESOUR MANAG, V30, P4913, DOI 10.1007/s11269-016-1461-0
   Pahl-Wostl C, 2015, WAT GOVN-CONC METH, P159, DOI 10.1007/978-3-319-21855-7_8
   Pandey C, 2019, SUSTAINABILITY, V12, P1
   Pandey C, 2017, LOOMING WATER CRISIS, V10
   Pandey C., 2017, SUSTAIN J REC, V5, P300, DOI [10.1089/sus.2017.0008, DOI 10.1089/SUS.2017.0008, DOI 10.1089/sus.2017.0008]
   Rai RK, 2018, WATER-SUI, V10, DOI 10.3390/w10070965
   Rijsberman F, 2004, PAPER PREPARED ONE 1, P37
   Rijsberman FR, 2006, AGR WATER MANAGE, V80, P5, DOI 10.1016/j.agwat.2005.07.001
   Rogers P., 2003, EFFECTIVE WATER GOVE
   Schewe J, 2014, P NATL ACAD SCI USA, V111, P3245, DOI 10.1073/pnas.1222460110
   Su Y.Grumbine, 2015, BUILDING BETTER WATE
   Subhadra B, 2015, NATURE, V521, P289, DOI 10.1038/521289d
   Tantoh HB, 2018, LAND USE POLICY, V75, P237, DOI 10.1016/j.landusepol.2018.03.044
   United Nations, 2015, Paris Agreement
   United Nations, 2015, TRANSF OUR WORLD 203
   Upadhyay R, 2011, PHYS CHEM EARTH, V36, P372, DOI 10.1016/j.pce.2010.03.018
   van Leeuwen CJ, 2012, WATER RESOUR MANAG, V26, P2177, DOI 10.1007/s11269-012-0009-1
   Witter SG, 1999, INT REV COM, V11, P1
NR 59
TC 26
Z9 29
U1 2
U2 19
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 JAN
PY 2021
VL 23
IS 1
BP 241
EP 257
DI 10.1007/s10668-019-00577-0
EA JAN 2020
PG 17
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 PR5ST
UT WOS:000574108400001
DA 2025-01-10
ER

PT J
AU Dalby, S
AF Dalby, Simon
TI Firepower: Geopolitical Cultures in the Anthropocene
SO GEOPOLITICS
LA English
DT Article
ID CLIMATE; FIRE
AB The human control of fire is a relatively neglected part of the discussion of the contemporary transformation of the planet. Thinking about it in terms of geopolitics is a way to link climate adaptation, extinction and the possibilities of extending traditional analyses of political ecology to the global scale. Such thinking is explicitly rejected as the appropriate premises for foreign policy action by the Trump administration which poses American greatness in terms of traditional understandings of firepower. This clash of geopolitical cultures is now key to global politics, where dramatic landscape transformation, related species extinctions as well as climate change results directly and indirectly from human control of combustion. Firepower is a matter of military technology as well as, in the form of fossil fuel combustion, the essential energy source that fuels the global economy. Focusing on combustion as a key geophysical force in contemporary geopolitics offers useful insights into the Anthropocene discussion and, in particular, the two planetary boundaries of climate change and biodiversity loss, which are key to contemporary efforts at global environmental governance.
C1 [Dalby, Simon] Wilfrid Laurier Univ, Balsillie Sch Int Affairs, Waterloo, ON N2L 6C2, Canada.
C3 Wilfrid Laurier University; University of Waterloo
RP Dalby, S (corresponding author), Wilfrid Laurier Univ, Balsillie Sch Int Affairs, Waterloo, ON N2L 6C2, Canada.
EM sdalby@gmail.com
RI Dalby, Simon/P-2302-2019
OI Dalby, Simon/0000-0002-3455-0735
FU Social Sciences and Humanities Research Council of Canada
FX This article draws on work supported by the Social Sciences and
   Humanities Research Council of Canada grants on 'Borders in
   Globalization' and 'The Cultural Politics of Climate Change'.
CR Agnew John., 2005, Hegemony: The new shape of global power
   Albion Robert., 1926, FORESTS SEA POWER TI
   [Anonymous], 2010, CONTOURS AM COLD WAR
   [Anonymous], CLIM INT REFL SUNL C
   [Anonymous], 2010, Merchants of doubt
   [Anonymous], 2016, GREAT MINDSHIFT NEW
   [Anonymous], 2016, CULTURAL POLITICS CL
   Balch JK, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0177
   Bonneuil C, 2016, The Shock of the Anthropocene: The Earth, History and Us
   Bowman D.M., 2009, Science, V324
   Brenton A, 2013, CLIM POLICY, V13, P541, DOI 10.1080/14693062.2013.774632
   Bridge Gavin., 2013, Oil
   Brown AG, 2013, EARTH SURF PROC LAND, V38, P431, DOI 10.1002/esp.3368
   Brulle RJ, 2014, CLIMATIC CHANGE, V122, P681, DOI 10.1007/s10584-013-1018-7
   Burns WCG, 2013, CLIMATE CHANGE GEOENGINEERING: PHILOSOPHICAL PERSPECTIVES, LEGAL ISSUES, AND GOVERNANCE FRAMEWORKS, P1, DOI 10.1017/CBO9781139161824
   Ceballos G, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400253
   Churchill Winston S., 1923, THE WORLD CRISIS, V1
   Clark Nigel, 2017, WHAT IS ENERGY WE MI
   Conca Ken., 2015, An Unfinished Foundation: The United Nations and Global Environmental Governance
   Crutzen PJ, 2002, NATURE, V415, P23, DOI 10.1038/415023a
   Dahl E.J., 2001, JOINT FORCE Q, VXXVII, P50
   Dalby S., 2016, SUSTAINABILITY TRANS, P67
   Dalby S, 2016, HEXAG SER HUM ENVIRO, V10, P493, DOI 10.1007/978-3-319-43884-9_22
   Dalby S, 2016, REFRAMING CLIMATE CHANGE: CONSTRUCTING ECOLOGICAL GEOPOLITICS, P83
   Dalby S, 2014, ALTERNATIVES, V39, P3, DOI 10.1177/0304375414558355
   Dalby S, 2013, POLIT GEOGR, V37, P38, DOI 10.1016/j.polgeo.2013.09.004
   Dalby S, 2009, PRIO NEW SECUR STUD, P181
   Dalby Simon., 2016, Reimagining Climate Change, P29
   Davies Jeremy, 2016, BIRTH ANTHROPOCENE, P76
   DeCicco JM, 2016, CLIMATIC CHANGE, V138, P667, DOI 10.1007/s10584-016-1764-4
   Desch SJ, 2017, EARTHS FUTURE, V5, P107, DOI 10.1002/2016EF000410
   Dittmer J, 2014, PROG HUM GEOG, V38, P385, DOI 10.1177/0309132513501405
   Doerr SH, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0345
   Ellis EC, 2010, GLOBAL ECOL BIOGEOGR, V19, P589, DOI 10.1111/j.1466-8238.2010.00540.x
   Falkner R, 2016, INT AFF, V92, P1107, DOI 10.1111/1468-2346.12708
   Flint Colin., 2016, Geopolitical Constructs: The Mulberry Harbours, World War Two, and the Making of a Militarized Transatlantic
   Foley SF, 2013, ANTHROPOCENE, V3, P83, DOI 10.1016/j.ancene.2013.11.002
   Gaffney Owen, 2017, ANTHROPOCENE REV
   Glikson A, 2013, ANTHROPOCENE, V3, P89, DOI 10.1016/j.ancene.2014.02.002
   Graham Steven., 2016, Vertical
   Hamilton C, 2015, ANTHROPOCENE REV, V2, P102, DOI 10.1177/2053019615584974
   HEWITT K, 1983, ANN ASSOC AM GEOGR, V73, P257, DOI 10.1111/j.1467-8306.1983.tb01412.x
   Hommel D, 2013, GEOJOURNAL, V78, P507, DOI 10.1007/s10708-012-9448-8
   Kareiva P, 2016, GLOB POLICY, V7, P107, DOI 10.1111/1758-5899.12330
   Klare Michael, 2017, SALON MAGAZINE  0218
   Klein N., 2007, The Shock Doctrine: The Rise of Disaster Capitalism
   Kolbert E., 2014, The Sixth Extinction: An Unnatural History
   Kunkel B., 2017, London Review of Books, V39, P22
   Landry JS, 2016, BIOGEOSCIENCES, V13, P2137, DOI 10.5194/bg-13-2137-2016
   Le Billon Philippe, 2012, WARS OF PLUNDER
   Lorimer J, 2015, Wildlife in the Anthropocene: Conversation after nature, DOI DOI 10.5749/MINNESOTA/9780816681075.001.0001
   Mace GM, 2014, GLOBAL ENVIRON CHANG, V28, P289, DOI 10.1016/j.gloenvcha.2014.07.009
   Mangat Rupinder, ENV POLITICS
   Marder Michael., 2014, Pyropolitics: When the World Is Ablaze
   Matless D, 2017, T I BRIT GEOGR, V42, P363, DOI 10.1111/tran.12173
   Mayer Jane., 2016, Dark Money: The Hidden History of Billionaires Behind the Rise of the Radical Right
   McDonald M, 2015, AUST J INT AFF, V69, P651, DOI 10.1080/10357718.2015.1056514
   McKibben B., 2016, New Republic
   McNeill J.R. Peter Engelke., 2016, The Great Acceleration: An Environmental History of the Anthropocene since 1945
   Mitchell Timothy., 2011, CARBON DEMOCRACY POL
   Moore J, 2015, Capitalism in the Web of Life: Ecology and the accumulation of capital
   Moore JasonW., 2016, ANTHROPOCENE CAPITAL
   Morrissey John, 2017, THE LONG WAR
   MUMFORD LEWIS, 1934, Technics and Civilization, P6
   Nyman J, 2018, J INT RELAT DEV, V21, P118, DOI 10.1057/jird.2015.26
   O'Connor CD, 2011, GEOGR COMPASS, V5, P329, DOI 10.1111/j.1749-8198.2011.00428.x
   Paterson M, 2006, ENVIRON POLIT, V15, P1, DOI 10.1080/09644010500418654
   Pausas JG, 2009, BIOSCIENCE, V59, P593, DOI 10.1525/bio.2009.59.7.10
   Pimm SL, 2014, SCIENCE, V344, P987, DOI 10.1126/science.1246752
   Pyne S.J., 2012, Fire: Nature and Culture
   Pyne SJ, 2009, PROG HUM GEOG, V33, P443, DOI 10.1177/0309132508101598
   Pyne Stephen J., 2015, AEON MAGAZINE   0505
   Rabitz F, 2016, FUTURES, V84, P98, DOI 10.1016/j.futures.2016.11.001
   Rockström J, 2016, EARTHS FUTURE, V4, P465, DOI 10.1002/2016EF000392
   Rockström J, 2009, ECOL SOC, V14
   Ruddiman WF, 2005, PRINC SCI LIBR, P1
   Sagan Carl., 1990, PATH NO MAN THOUGHT
   Scott Andrew C., 2014, FIRE ON EARTH
   Smith BD, 2013, ANTHROPOCENE, V4, P8, DOI 10.1016/j.ancene.2013.05.001
   Solnit Rebecca, 2016, HARPERS MAGAZINE
   Steffen W, 2016, EARTHS FUTURE, V4, P324, DOI 10.1002/2016EF000379
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Toal Gerard, 2017, NEAR ABROAD PUTIN W, P10
   Van Munster Rens., 2016, The Politics of Globality Since 1945: Assembling the Planet
   Wainwright J, 2013, ANTIPODE, V45, P1, DOI 10.1111/j.1467-8330.2012.01018.x
   Wiens JJ, 2016, PLOS BIOL, V14, DOI 10.1371/journal.pbio.2001104
   Yergin Daniel., 2011, The Quest: Energy, Security, and the Remaking of the Modern World
   Yergin Daniel., 1991, The Prize: The Epic Quest for Oil, Money, and Power
NR 88
TC 39
Z9 42
U1 1
U2 17
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1465-0045
EI 1557-3028
J9 GEOPOLITICS
JI Geopolitics
PY 2018
VL 23
IS 3
SI SI
BP 718
EP 742
DI 10.1080/14650045.2017.1344835
PG 25
WC Geography; Political Science
WE Social Science Citation Index (SSCI)
SC Geography; Government & Law
GA GW5NI
UT WOS:000446981900011
DA 2025-01-10
ER

PT J
AU Vargo, J
   Stone, B
   Habeeb, D
   Liu, P
   Russell, A
AF Vargo, Jason
   Stone, Brian
   Habeeb, Dana
   Liu, Peng
   Russell, Armistead
TI The social and spatial distribution of temperature-related health
   impacts from urban heat island reduction policies
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Urban heat island; Climate change; Urban adaptation; Green area ratio;
   Heat-related mortality; Climate justice
ID CLIMATE-CHANGE; HUMAN MORTALITY; US CITIES; WAVE; DEATHS;
   ACCLIMATIZATION; VULNERABILITY; MITIGATION; ENVIRONMENT; ADAPTATION
AB Cities are developing innovative strategies to combat climate change but there remains little knowledge of the winners and losers from climate-adaptive land use planning and design. We examine the distribution of health benefits associated with land use policies designed to increase vegetation and surface reflectivity in three US metropolitan areas: Atlanta, GA, Philadelphia, PA, and Phoenix, AZ. Projections of population and land cover at the census tract scale were combined with climate models for the year 2050 at 4 km x 4 km resolution to produce future summer temperatures which were input into a comparative risk assessment framework for the temperature-mortality relationship. The findings suggest disparities in the effectiveness of urban heat management strategies by age, income, and race. We conclude that, to be most protective of human health, urban heat management must prioritize areas of greatest population vulnerability. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Vargo, Jason] Univ Wisconsin, Global Hlth Inst, Med Sci Ctr 1070, 1300 Univ Ave, Madison, WI 53706 USA.
   [Vargo, Jason] Univ Wisconsin Madison, Nelson Inst Environm Studies, Ctr Sustainabil & Global Environm, Madison, WI USA.
   [Stone, Brian; Habeeb, Dana] Georgia Inst Technol, Sch City & Reg Planning, Atlanta, GA 30332 USA.
   [Liu, Peng; Russell, Armistead] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA.
C3 University of Wisconsin System; University of Wisconsin Madison;
   University of Wisconsin System; University of Wisconsin Madison;
   University System of Georgia; Georgia Institute of Technology;
   University System of Georgia; Georgia Institute of Technology
RP Vargo, J (corresponding author), Univ Wisconsin, Global Hlth Inst, Med Sci Ctr 1070, 1300 Univ Ave, Madison, WI 53706 USA.
EM javargo@wisc.edu
FU Centers for Disease Control and Prevention, Climate Change Program:
   Environmental Impact on Human Health [5U01EH000432-02]
FX This work was supported by the Centers for Disease Control and
   Prevention (project #5U01EH000432-02), Climate Change Program:
   Environmental Impact on Human Health.
CR Akbari H., 2005, Energy Saving Potentials and Air Quality Benefits of Urban Heat IslandMitigation
   Anderson GB, 2011, ENVIRON HEALTH PERSP, V119, P210, DOI 10.1289/ehp.1002313
   [Anonymous], 2011, CHOICE REV ONLINE, DOI DOI 10.5860/CHOICE.49-0882
   APPLEGATE WB, 1981, J AM GERIATR SOC, V29, P337, DOI 10.1111/j.1532-5415.1981.tb01238.x
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Barnett AG, 2010, ENVIRON RES, V110, P604, DOI 10.1016/j.envres.2010.05.006
   Basu R, 2002, EPIDEMIOL REV, V24, P190, DOI 10.1093/epirev/mxf007
   BONNER RM, 1976, J APPL PHYSIOL, V41, P708, DOI 10.1152/jappl.1976.41.5.708
   Bouchama A, 2007, ARCH INTERN MED, V167, P2170, DOI 10.1001/archinte.167.20.ira70009
   Bradford K, 2015, ENVIRON SCI TECHNOL, V49, P11303, DOI 10.1021/acs.est.5b03127
   Bulkeley H., 2005, Cities and climate change
   Confalonieri U, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P391
   Curriero FC, 2002, AM J EPIDEMIOL, V155, P80, DOI 10.1093/aje/155.1.80
   Davis RE, 2003, ENVIRON HEALTH PERSP, V111, P1712, DOI 10.1289/ehp.6336
   Davis RE, 2002, CLIMATE RES, V22, P175, DOI 10.3354/cr022175
   Dimoudi A, 2003, ENERG BUILDINGS, V35, P69, DOI 10.1016/S0378-7788(02)00081-6
   Flynn A, 2005, QJM-INT J MED, V98, P227, DOI 10.1093/qjmed/hci025
   Fry J.A., 2009, Completion of the National Land Cover Database (NLCD) 1992-2001, DOI 10.3133/ofr20081379
   Fujibe F, 2009, INT J CLIMATOL, V29, P1811, DOI 10.1002/joc.1822
   Gasparrini A, 2015, LANCET, V386, P369, DOI 10.1016/S0140-6736(14)62114-0
   Georgescu M, 2014, P NATL ACAD SCI USA, V111, P2909, DOI 10.1073/pnas.1322280111
   Gober P, 2010, J AM PLANN ASSOC, V76, P109, DOI 10.1080/01944360903433113
   GREENBERG JH, 1983, AM J PUBLIC HEALTH, V73, P805, DOI 10.2105/AJPH.73.7.805
   Greene S, 2011, WEATHER CLIM SOC, V3, P281, DOI 10.1175/WCAS-D-11-00055.1
   Grundy E, 2006, AGEING SOC, V26, P707, DOI 10.1017/S0144686X06004934
   Habeeb D, 2015, NAT HAZARDS, V76, P1651, DOI 10.1007/s11069-014-1563-z
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Huang CR, 2011, ENVIRON HEALTH PERSP, V119, P1681, DOI 10.1289/ehp.1103456
   Jenerette GD, 2011, ECOL APPL, V21, P2637, DOI 10.1890/10-1493.1
   JONES TS, 1982, JAMA-J AM MED ASSOC, V247, P3327, DOI 10.1001/jama.247.24.3327
   KALKSTEIN LS, 1989, ANN ASSOC AM GEOGR, V79, P44, DOI 10.1111/j.1467-8306.1989.tb00249.x
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Liu P, 2012, ATMOS CHEM PHYS, V12, P3601, DOI 10.5194/acp-12-3601-2012
   Madrigano J, 2015, ENVIRON HEALTH PERSP, V123, P672, DOI 10.1289/ehp.1408178
   MARTINEZ BF, 1989, JAMA-J AM MED ASSOC, V262, P2246, DOI 10.1001/jama.262.16.2246
   Medina-Ramón M, 2007, OCCUP ENVIRON MED, V64, P827, DOI 10.1136/oem.2007.033175
   Middel A, 2014, LANDSCAPE URBAN PLAN, V122, P16, DOI 10.1016/j.landurbplan.2013.11.004
   O'Neill MS, 2005, J URBAN HEALTH, V82, P191, DOI 10.1093/jurban/jti043
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   R Foundation for Statistical Computing, R LANG ENV STAT COMP
   Ren GY, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL027927
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Rosenfeld AH, 1998, ENERG BUILDINGS, V28, P51, DOI 10.1016/S0378-7788(97)00063-7
   SAILOR DJ, 1995, J APPL METEOROL, V34, P1694, DOI 10.1175/1520-0450-34.7.1694
   Santamouris M, 2013, ENERG BUILDINGS, V57, P74, DOI 10.1016/j.enbuild.2012.11.002
   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
   SENAY LC, 1976, J APPL PHYSIOL, V40, P786, DOI 10.1152/jappl.1976.40.5.786
   Smoyer KE, 1998, SOC SCI MED, V47, P1809, DOI 10.1016/S0277-9536(98)00237-8
   Stone B, 2012, CITY AND THE COMING CLIMATE: CLIMATE CHANGE IN THE PLACES WE LIVE, P1, DOI 10.1017/CBO9781139061353
   Stone B, 2012, LANDSCAPE URBAN PLAN, V107, P263, DOI 10.1016/j.landurbplan.2012.05.014
   Stone B, 2007, INT J CLIMATOL, V27, P1801, DOI 10.1002/joc.1555
   Stone B, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100852
   Synnefa A, 2008, J APPL METEOROL CLIM, V47, P2846, DOI 10.1175/2008JAMC1830.1
   T.R.S.S.P. Centre, 2014, RES EXTR WEATH
   Taha H, 1997, ENERG BUILDINGS, V25, P169, DOI 10.1016/S0378-7788(96)01006-7
   Trail M, 2013, GEOSCI MODEL DEV, V6, P1429, DOI 10.5194/gmd-6-1429-2013
   Uejio CK, 2011, HEALTH PLACE, V17, P498, DOI 10.1016/j.healthplace.2010.12.005
   Vargo J, 2013, J ENVIRON MANAGE, V114, P243, DOI 10.1016/j.jenvman.2012.10.007
   Voorhees AS, 2011, ENVIRON SCI TECHNOL, V45, P1450, DOI 10.1021/es102820y
   Wan W., 2012, J HEAT ISL I INT, V7, P238
   Whitman S, 1997, AM J PUBLIC HEALTH, V87, P1515, DOI 10.2105/AJPH.87.9.1515
   Wu JY, 2014, ENVIRON HEALTH PERSP, V122, P10, DOI [10.1289/ehp.1306670, 10.1289/ehp.1307701]
   Zhang K, 2014, ENVIRON RES, V132, P350, DOI 10.1016/j.envres.2014.04.004
   Zhang K, 2012, ENVIRON INT, V46, P23, DOI 10.1016/j.envint.2012.05.001
NR 66
TC 77
Z9 86
U1 1
U2 121
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 DEC
PY 2016
VL 66
BP 366
EP 374
DI 10.1016/j.envsci.2016.08.012
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ED7YT
UT WOS:000389089300039
OA Green Published
DA 2025-01-10
ER

PT J
AU Komarek, AM
   Thierfelder, C
   Steward, PR
AF Komarek, Adam M.
   Thierfelder, Christian
   Steward, Peter R.
TI Conservation agriculture improves adaptive capacity of cropping systems
   to climate stress in Malawi
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Heat stress; Intercropping; Maize; Malawi; No tillage; Rotation
ID SUB-SAHARAN AFRICA; FARMING SYSTEMS; TOLERANT MAIZE; HEAT-STRESS; YIELD
   GAPS; PRODUCTIVITY; ROTATION; VULNERABILITY; VARIABILITY; ADAPTATION
AB Context: Adaptation to climate stress is an unprecedented challenge facing cropping systems. Most adaptation assessments focus on how adaptation options affect yields of a single crop under different weather or climate conditions. Yet, cropping systems often comprise more than one crop, and holistic assessments should consider all crops grown in a cropping system. One adaptation option is Conservation Agriculture that is commonly defined around a set of three principles: minimum mechanical soil disturbance, permanent soil organic cover, and crop species diversification.
   Objective: Here we estimated the statistical effect of Conservation Agriculture on cropping-system yields under historical climate conditions.
   Methods: The cropping-system yields considered all crops grown including maize (Zea mays L.) and legumes in intercropping or rotation, or both. The climate conditions included conditions of heat stress for maize and precipitation balances during the maize growing season. Heat stress for maize was studied using growing degree days over 30 ?C. Precipitation balance was the difference between precipitation and reference evapotranspiration. Data included 6296 yield observations from on-farm trials in farmer plots conducted over 14 seasons (2005?2006 to 2018?2019) in ten communities in Malawi. These yield data were coupled with daily weather data. We studied three treatments: (1) a Control Practice treatment where the soil was tilled, crop residues were removed, and there was no crop species diversification, (2) a No-Tillage treatment where the soil was not tilled, crop residues were retained, and there was no crop species diversification, and (3) a Conservation Agriculture treatment where the soil was not tilled, crop residues were retained, and there was crop species diversification through legume intercropping. The use of maize varieties and legume rotation changed over time; however, the treatments studied remained the same over the entire length of the on-farm trials period in all individual communities.
   Results and conclusions: Results of our study showed that heat stress for maize had a negative effect on croppingsystem yields for non-stress-tolerant maize varieties and no legume rotation, although the Conservation Agriculture treatment reduced this negative effect compared with the Control Practice treatment. With the use of stress-tolerant maize varieties and legume rotation and Conservation Agriculture, our results suggest that heat stress for maize did not have a negative effect on cropping-system yields. Significance: Our results demonstrate how Conservation Agriculture can improve the adaptive capacity of cropping systems and this provides urgently needed evidence on how farmers can adapt to climate stress.
C1 [Komarek, Adam M.] Int Food Policy Res Inst, Washington, DC 20036 USA.
   [Komarek, Adam M.] Univ Queensland, Sch Agr & Food Sci, Gatton, Qld 4343, Australia.
   [Thierfelder, Christian] Int Maize & Wheat Improvement Ctr CIMMYT, POB MP 163, Harare, Zimbabwe.
   [Steward, Peter R.] Univ Leeds, Sch Earth & Environm, Sustainabil Res Inst, Leeds LS2 9JT, W Yorkshire, England.
   [Steward, Peter R.] World Agroforestry ICRAF, United Nations Ave,POB 30677, Nairobi 00100, Kenya.
C3 CGIAR; International Food Policy Research Institute (IFPRI); University
   of Queensland; University of Leeds; CGIAR; World Agroforestry (ICRAF)
RP Komarek, AM (corresponding author), Int Food Policy Res Inst, Washington, DC 20036 USA.
EM a.komarek@uq.edu.au
RI Thierfelder, Christian/J-3989-2019; Komarek, Adam/AAW-9399-2020
OI /0000-0001-5676-3005
FU Africa Research in Sustainable Intensification for the Next Generation
   (Africa RISING); USAID's Feed the Future Initiative; International Fund
   for Agriculture Development (IFAD); Gesellschaft fur Internationale
   Zusammenarbeit (GIZ); International Maize and Wheat Improvement Center
   (CIMMYT); Total LandCare; MAIZE CRP
FX This study was undertaken as part of, and funded by, Africa Research in
   Sustainable Intensification for the Next Generation (Africa RISING) with
   generous support from USAID's Feed the Future Initiative. The
   International Fund for Agriculture Development (IFAD) provided financial
   support from 2008 to 2012 and the Gesellschaft fur Internationale
   Zusammenarbeit (GIZ) from 2004 to 2007 and from 2017 to 2019 financed
   and co-financed the on-farm trials. The International Maize and Wheat
   Improvement Center (CIMMYT) and Total LandCare filled jointly funding
   gaps when no projects could fund the on-farm trials. We acknowledge the
   long-term commitment of management and field staff from Total LandCare
   and Machinga ADD, in particular, Trent Bunderson, Zwide Jere, Richard
   Museka and Mphatso Gama, who assisted in funding and management of
   long-term on-farm trials and data collection throughout the whole period
   of the on-farm trials. The time of Thierfelder was provided by the MAIZE
   CRP and its donors (www.maize.org) whose generous support is highly
   acknowledged. Andrew Challinor and Andrew Dougill provided helpful
   comments on an earlier version of this study.
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   [Anonymous], 2006, World Reference Base for Soil Resources 2006, V103
   [Anonymous], FRONT PLANT SCI
   [Anonymous], 2019, CONSERVATION AGR
   ARIHARA J, 1991, PHOSPHORUS NUTRITION OF GRAIN LEGUMES IN THE SEMI-ARID TROPICS, P183
   Barnabas B, 2008, PLANT CELL ENVIRON, V31, P11, DOI 10.1111/j.1365-3040.2007.01727.x
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bowles TM, 2020, ONE EARTH, V2, P284, DOI 10.1016/j.oneear.2020.02.007
   Burnham K. P., 2002, Model selection and inference: a practical informationtheoretic approach, VSecond edition
   Cairns JE, 2013, FOOD SECUR, V5, P345, DOI 10.1007/s12571-013-0256-x
   Cairns JE, 2013, CROP SCI, V53, P1335, DOI 10.2135/cropsci2012.09.0545
   Challinor AJ, 2016, NAT CLIM CHANGE, V6, P954, DOI [10.1038/NCLIMATE3061, 10.1038/nclimate3061]
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Challinor A, 2007, CLIMATIC CHANGE, V83, P381, DOI 10.1007/s10584-007-9249-0
   Conway D, 2019, NAT CLIM CHANGE, V9, P503, DOI 10.1038/s41558-019-0502-0
   Cooper PJM, 2008, AGR ECOSYST ENVIRON, V126, P24, DOI 10.1016/j.agee.2008.01.007
   Corbeels M, 2020, NAT FOOD, V1, DOI 10.1038/s43016-020-0114-x
   Corbeels M, 2014, AGR ECOSYST ENVIRON, V187, P155, DOI 10.1016/j.agee.2013.10.011
   Dinku T, 2018, Q J ROY METEOR SOC, V144, P292, DOI 10.1002/qj.3244
   DORAN JW, 1984, SOIL SCI SOC AM J, V48, P640, DOI 10.2136/sssaj1984.03615995004800030034x
   Eze S, 2020, SOIL TILL RES, V201, DOI 10.1016/j.still.2020.104639
   Farooq M, 2017, CROP PASTURE SCI, V68, P985, DOI 10.1071/CP17012
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gathala MK, 2015, FIELD CROP RES, V172, P85, DOI 10.1016/j.fcr.2014.12.003
   GHUMAN BS, 1991, J SUSTAIN AGR, V2, P59, DOI 10.1300/J064v02n02_06
   Godfray HCJ, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2012.0273
   Guilpart N, 2017, FIELD CROP RES, V206, P21, DOI 10.1016/j.fcr.2017.02.008
   Hengl T, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169748
   Hobbs PR, 2008, PHILOS T R SOC B, V363, P543, DOI 10.1098/rstb.2007.2169
   Horton R, 1996, THEOR APPL CLIMATOL, V54, P27, DOI 10.1007/BF00863556
   Ito M, 2007, CROP PROT, V26, P417, DOI 10.1016/j.cropro.2006.06.017
   Jat HS, 2020, SOIL TILL RES, V199, DOI 10.1016/j.still.2020.104595
   Jat ML, 2020, NAT SUSTAIN, V3, P336, DOI 10.1038/s41893-020-0500-2
   Kenward MG, 1997, BIOMETRICS, V53, P983, DOI 10.2307/2533558
   Komarek AM, 2019, AGR SYST, V173, P504, DOI 10.1016/j.agsy.2019.04.001
   LAL R, 1974, PLANT SOIL, V40, P129, DOI 10.1007/BF00011415
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Loy A., 2016, lmeresampler: Bootstrap methods for nested linear mixed-effects models
   Masuka B, 2017, CROP SCI, V57, P180, DOI 10.2135/cropsci2016.05.0408
   Michler JD, 2019, J ENVIRON ECON MANAG, V93, P148, DOI 10.1016/j.jeem.2018.11.008
   Muthoni FK, 2019, THEOR APPL CLIMATOL, V137, P1869, DOI 10.1007/s00704-018-2712-1
   Mutuku EA, 2020, FIELD CROP RES, V254, DOI 10.1016/j.fcr.2020.107833
   Nakagawa S, 2017, J R SOC INTERFACE, V14, DOI 10.1098/rsif.2017.0213
   NASA, 2020, HIGH RES DAIL TIM SE
   Nyagumbo I, 2020, AGR ECOSYST ENVIRON, V295, DOI 10.1016/j.agee.2020.106898
   Olasantan FO, 1996, AGR ECOSYST ENVIRON, V57, P149, DOI 10.1016/0167-8809(96)01019-5
   OSMOND CB, 1987, BIOSCIENCE, V37, P38, DOI 10.2307/1310176
   Parihar CM, 2016, FIELD CROP RES, V193, P104, DOI 10.1016/j.fcr.2016.03.013
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Pittelkow CM, 2015, NATURE, V517, P365, DOI 10.1038/nature13809
   R, 2020, R LANG ENV STAT COMP
   Rusinamhodzi L, 2011, AGRON SUSTAIN DEV, V31, P657, DOI 10.1007/s13593-011-0040-2
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Setimela P, 2018, AGR ECOSYST ENVIRON, V268, P79, DOI 10.1016/j.agee.2018.09.006
   Setimela PS, 2017, AGRON J, V109, P406, DOI 10.2134/agronj2015.0540
   Shew AM, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18317-8
   Silva JV, 2017, AGR SYST, V158, P78, DOI 10.1016/j.agsy.2017.06.005
   Smith MR, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0146976
   Snapp SS, 2010, P NATL ACAD SCI USA, V107, P20840, DOI 10.1073/pnas.1007199107
   Snapp SS, 1998, AGR ECOSYST ENVIRON, V71, P185, DOI 10.1016/S0167-8809(98)00140-6
   Sommer R, 2014, FIELD CROP RES, V169, P145, DOI 10.1016/j.fcr.2014.05.012
   Stackhouse Jr P, 2019, POWER DATA METHODOLO
   Steward PR, 2018, AGR ECOSYST ENVIRON, V251, P194, DOI 10.1016/j.agee.2017.09.019
   Tabachnick B., 2013, Using multivariate statistics, V6th
   Thierfelder C, 2010, EXP AGR, V46, P309, DOI 10.1017/S001447971000030X
   Thierfelder C, 2010, J CROP IMPROV, V24, P113, DOI 10.1080/15427520903558484
   Thierfelder C, 2018, AGRON SUSTAIN DEV, V38, DOI 10.1007/s13593-018-0492-8
   Thierfelder C, 2017, FOOD SECUR, V9, P537, DOI 10.1007/s12571-017-0665-3
   Thierfelder C, 2015, SOIL TILL RES, V146, P230, DOI 10.1016/j.still.2014.10.015
   Thierfelder C, 2013, FIELD CROP RES, V142, P47, DOI 10.1016/j.fcr.2012.11.010
   Thierfelder C, 2009, SOIL TILL RES, V105, P217, DOI 10.1016/j.still.2009.07.007
   Thornton PK, 2014, GLOBAL CHANGE BIOL, V20, P3313, DOI 10.1111/gcb.12581
   Van Wart J, 2015, AGR FOREST METEOROL, V209, P49, DOI 10.1016/j.agrformet.2015.02.020
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   von Biljon A., [No title captured]
   Waha K, 2020, GLOBAL ENVIRON CHANG, V64, DOI 10.1016/j.gloenvcha.2020.102131
   Waraich EA, 2012, J SOIL SCI PLANT NUT, V12, P221, DOI 10.4067/S0718-95162012000200003
   Zotarelli L, 2010, Step by step calculation of the Penman-Monteith Evapotranspiration (FAO-56 Method)
   Zuur Alain F., 2009, P1
NR 80
TC 31
Z9 32
U1 5
U2 32
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 MAY
PY 2021
VL 190
AR 103117
DI 10.1016/j.agsy.2021.103117
EA MAR 2021
PG 13
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA RY1DL
UT WOS:000647656900011
OA hybrid
DA 2025-01-10
ER

PT C
AU Peresani, M
AF Peresani, Marco
BE Conard, NJ
   Richter, J
TI The End of the Middle Paleolithic in the Italian Alps An Overview of
   Neanderthal Land Use, Subsistence and Technology
SO NEANDERTHAL LIFEWAYS, SUBSISTENCE AND TECHNOLOGY: ONE HUNDRED FIFTY
   YEARS OF NEANDERTHAL STUDY
SE Vertebrate Paleobiology and Paleoanthropology
LA English
DT Proceedings Paper
CT International Congress to Commemorate 150 Years of Neanderthal
   Discoveries, 1856-2006
CY JUL 21-26, 2006
CL Bonn, GERMANY
DE Landscape; Geographic conditions; Hunting economy; Lithic economy;
   Seasonality
ID LAST GLACIAL PERIOD; VEGETATION; HISTORY; CLIMATE; CAVE
AB The Italian Alps were a familiar region for the last Neanderthals. Evidence from several sheltered and open-air sites prove that these humans exploited mineral and animal resources, and that these ways of organizing economic activity were deeply rooted in their social systems since early times. Human occupation spans from lowland to highland in the fringe between the Alps and the plain, a belt where the geographic and ecological contexts differ at a very small scale. Chronometric, ecological, economic and cultural evidence reveal how archaic humans adapted to climatic shifts, used different sites for different targets, and above all improved and refined lithic technology at the very end of their existence.
C1 [Peresani, Marco] Univ Ferrara, Dipartimento Biol & Evolut, I-44100 Ferrara, Italy.
C3 University of Ferrara
EM psm@unife.it
RI Peresani, Marco/X-1343-2019
OI Peresani, Marco/0000-0001-6562-6336
CR Allen JRM, 1999, NATURE, V400, P740, DOI 10.1038/23432
   [Anonymous], 2001, SETTLEMENT DYNAMICS
   Arzarello M., 2005, DONN ES R CENTES MOD, V1364, P281
   Bertola S, 1999, ANTHROPOLOGIE, V103, P377
   BERTOLA S., 2005, PITTURE PALEOLITICHE, P46
   BIETTI A, 1996, REDUCTION PROCESSES
   BIETTI A, 1991, FOSSIL MAN MONTE CIR
   Bona F, 2007, ANTHROPOLOGIE, V111, P290, DOI 10.1016/j.anthro.2007.05.003
   BOND G, 1992, NATURE, V360, P245, DOI 10.1038/360245a0
   Broglio A, 2003, Perceived landscapes and built environments. The cultural geography of Late Palaeolithic Eurasia, BAR Int. S., V1122, P93, DOI [10.30861/9781841714981, DOI 10.30861/9781841714981]
   Broglio A., 2006, KOSTENKI EARLY UPPER, P263
   Broglio A, 1995, VELEIA, V12, P49
   BROGLIO A, 2003, CHANGEMENTS BIOL CUL, P39
   Cassoli Pier Francesco, 1991, Bollettino del Museo Civico di Storia Naturale di Verona, V18, P349
   CATTANI L, 1984, B ASS FRANCAISE ETUD, V16, P197
   CATTANI L, 1990, LOESS NO CENTRAL ITA, P33
   Conard NJ., 2006, When Neanderthals and modern humans met
   Cremaschi M., 1990, Quaternaire, V1, P51, DOI DOI 10.3406/QUATE.1990.1921
   DANSGAARD W, 1993, NATURE, V364, P218, DOI 10.1038/364218a0
   De Stefani M., 2005, Riv. Sci. Preist, P93
   Di Cesnola A.P., 1996, PALEOLITHIQUE INFERI
   DONEGANA M, 2008, QUATERNARY INT, V190
   FERRARO F, 2002, THESIS U MILANO 1
   Fiore I, 2004, INT J OSTEOARCHAEOL, V14, P273, DOI 10.1002/oa.761
   GALA M, 2005, ATT 4 CONV ARCH QUAD, P53
   GIACOBINI G, 1992, CINQ MILLIONS ANN AD, P199
   Goñi MFS, 2000, QUATERNARY RES, V54, P394, DOI 10.1006/qres.2000.2176
   Gruppioni G., 2003, THESIS U FERRARA
   Guidi A., 1992, Italia Preistorica
   Higham T, 2009, QUATERNARY SCI REV, V28, P1257, DOI 10.1016/j.quascirev.2008.12.018
   KUHN SL, 2000, GEOGRAPHY NEANDERTAL, P49
   Kuhn StevenL., 1995, Mousterian Lithic Technology: An Ecological Perspective
   LANZINGER M, 1988, U MUS SYMP, V1, P125
   LEMORINI C, 2003, BAR INT SERIES, V1120, P257
   Leonardi P., 1966, Rivista Sci. Preist., V21, P397
   MILLIKEN S, 2000, ACCORDIA RES PAPERS, V8, P11
   MUSSI M., 2001, EARLIEST ITALY
   Peresani M., 2003, DISCOID LITHIC TECHN, V1120, P209
   PERESANI M, 2008, EURASIAN PREHISTORY, V5, P85
   Peresani M, 1998, Paleo, V10, P123, DOI 10.3406/pal.1998.1133
   Peresani M, 2004, RIV SCI PREIST, VLIV, P181
   PERESANI M, 1996, REDUCTION PROCESSES, P205
   Peresani M., 2008, Current Anthropology, V49, P725, DOI [DOI 10.1086/588540, 10.1086/588540]
   PERESANI M, 1998, 13 C UISPP FORL 1996, P269
   Peresani M, 2008, J ARCHAEOL SCI, V35, P2986, DOI 10.1016/j.jas.2008.06.013
   Peretto C., 1992, Italia Preistorica, P170
   Pini R, 2009, QUATERNARY SCI REV, V28, P1268, DOI 10.1016/j.quascirev.2008.12.017
   PINI R, QUATERNARY IN PRESS
   Porraz G, 2006, ACT SESS 10 ANN ASS
   PORRAZ G, 2005, THESIS U PROVENCE AI
   Sala B., 1990, LOESS NO CENTRAL ITA, pStudio
   SALA B, 2001, WORDLD ELEPHANTS, P272
   Stiner M.C., 1994, Honor Among Thieves: A Zooarchaeological Study of Neandertal Ecology
   Thun Hohenstein U., 2005, BAR Int. Series,, P261
   Trinkaus E, 2011, VERTEBR PALEOBIOL PA, P315, DOI 10.1007/978-94-007-0492-3_24
   Vacca E, 2000, ANTHROPOLOGIE, V104, P121
   Villa G., 2001, ROMA, P45
   Watts WA, 1996, QUATERNARY SCI REV, V15, P133, DOI 10.1016/0277-3791(95)00093-3
   Zilhao J, 2011, VERTEBR PALEOBIOL PA, P331, DOI 10.1007/978-94-007-0492-3_25
NR 59
TC 21
Z9 21
U1 0
U2 8
PU SPRINGER
PI NEW YORK
PA 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
SN 1877-9077
BN 978-94-007-0414-5
J9 VERTEBR PALEOBIOL PA
JI Vertebr. Paleobiol. Paleoanthropol.
PY 2011
BP 249
EP 259
DI 10.1007/978-94-007-0415-2_21
PG 11
WC Anthropology; Archaeology; Paleontology
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Anthropology; Archaeology; Paleontology
GA BTU35
UT WOS:000288104100021
DA 2025-01-10
ER

PT J
AU Santini, L
   Fernando, M
   Mancini, G
   Di Marco, M
AF Santini, Luca
   Fernando, Martina
   Mancini, Giordano
   Di Marco, Moreno
TI The Neglected Role of Sex-Biased Dispersal in Range-Shift Prediction
   Under Climate Change
SO DIVERSITY AND DISTRIBUTIONS
LA English
DT Article; Early Access
DE climate change impact; dispersal distance; dispersal scenario; range
   expansion; species climatic adaptation; species distribution models
   (SDMs)
ID DISTANCE; MAMMALS; TERRESTRIAL
AB Studies aimed at estimating species response to climate change generally employ correlative species distribution models (SDMs) coupled with dispersal scenarios. However, dispersal distances are generally lacking or nonrepresentative, so researchers typically estimate dispersal distance from allometric relationships. Yet, these estimates ignore the role of sex bias in dispersal-where one sex disperses more than the other-leading to important prediction errors. We collected sex-specific dispersal data for 47 mammal species characterised by different levels of sex bias and projected their distribution under future climate scenarios, either considering or disregarding sex-biased dispersal. Results reveal discrepancies that can be substantial for species with marked sex bias. Given the paucity of sex-specific dispersal data, climate forecasting efforts should cautiously use a range of dispersal scenarios, favouring partial dispersal scenarios that are likely to encompass true species' range shifting abilities. Further research and data collection are crucial for refining predictions and understanding the ecological drivers of sex bias in dispersal across taxa.
C1 [Santini, Luca; Fernando, Martina; Mancini, Giordano; Di Marco, Moreno] Sapienza Univ Rome, Dept Biol & Biotechnol Charles Darwin, Rome, Italy.
C3 Sapienza University Rome
RP Santini, L (corresponding author), Sapienza Univ Rome, Dept Biol & Biotechnol Charles Darwin, Rome, Italy.
EM luca.santini@uniroma1.it
RI Mancini, Giordano/HCH-5201-2022; Di Marco, Moreno/J-4285-2012; Santini,
   Luca/M-8492-2018
OI Di Marco, Moreno/0000-0002-8902-4193; Santini, Luca/0000-0002-5418-3688;
   Mancini, Giordano/0000-0001-9208-4253
CR Bateman BL, 2013, DIVERS DISTRIB, V19, P1224, DOI 10.1111/ddi.12107
   Bowman J, 2002, ECOLOGY, V83, P2049, DOI 10.2307/3071786
   Broekman MJE, 2023, GLOBAL ECOL BIOGEOGR, V32, P198, DOI 10.1111/geb.13625
   Driscoll DA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095053
   Guisan A, 2005, ECOL LETT, V8, P993, DOI 10.1111/j.1461-0248.2005.00792.x
   Karger DN, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.122
   Li XY, 2019, BIOL REV, V94, P721, DOI 10.1111/brv.12475
   Mabry KE, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057980
   Macdonald David W., 2001, P358
   Mancini G, 2024, CONSERV BIOL, V38, DOI 10.1111/cobi.14227
   MORRIS D W, 1982, Evolutionary Theory, V6, P53
   PUSEY AE, 1987, TRENDS ECOL EVOL, V2, P295, DOI 10.1016/0169-5347(87)90081-4
   Santini L, 2021, DIVERS DISTRIB, V27, P1035, DOI 10.1111/ddi.13252
   Santini L, 2016, GLOBAL CHANGE BIOL, V22, P2415, DOI 10.1111/gcb.13271
   Santini L, 2013, HYSTRIX, V24, P181, DOI 10.4404/hystrix-24.2-8746
   Schloss CA, 2012, P NATL ACAD SCI USA, V109, P8606, DOI 10.1073/pnas.1116791109
   Smith MA, 2005, ECOGRAPHY, V28, P110
   Stevens VM, 2014, ECOL LETT, V17, P1039, DOI 10.1111/ele.12303
   Sutherland GD, 2000, CONSERV ECOL, V4, DOI 10.5751/es-00184-040116
   Tamburello N, 2015, AM NAT, V186, P196, DOI 10.1086/682070
   Trakhtenbrot A, 2005, DIVERS DISTRIB, V11, P173, DOI 10.1111/j.1366-9516.2005.00156.x
   Travis JMJ, 2013, OIKOS, V122, P1532, DOI 10.1111/j.1600-0706.2013.00399.x
   Trochet A, 2016, Q REV BIOL, V91, P297, DOI 10.1086/688097
   Visconti P, 2016, CONSERV LETT, V9, P5, DOI 10.1111/conl.12159
   Warren R, 2018, SCIENCE, V360, P791, DOI 10.1126/science.aar3646
   Weeks BC, 2022, FUNCT ECOL, V36, P1681, DOI 10.1111/1365-2435.14056
   Whitmee S, 2013, J ANIM ECOL, V82, P211, DOI 10.1111/j.1365-2656.2012.02030.x
NR 27
TC 0
Z9 0
U1 0
U2 0
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1366-9516
EI 1472-4642
J9 DIVERS DISTRIB
JI Divers. Distrib.
PD 2024 NOV 7
PY 2024
DI 10.1111/ddi.13942
EA NOV 2024
PG 5
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA M4P7T
UT WOS:001357384400001
OA gold
DA 2025-01-10
ER

PT J
AU Koutzoukis, S
   Munger, W
   Capito, L
   Parry, D
   Parry, B
   Klain, SC
   Brunson, MW
   Huntly, N
   Taylor, T
AF Koutzoukis, Sofia
   Munger, Will
   Capito, Lindsay
   Parry, Darren
   Parry, Brad
   Klain, Sarah C.
   Brunson, Mark W.
   Huntly, Nancy
   Taylor, Travis
TI Collaborative knowledge braiding for restoration: assessing climate
   change risks and adaptation options at Wuda Ogwa in southeastern Idaho,
   United States
SO RESTORATION ECOLOGY
LA English
DT Article
DE climate-adaptation; collaborative capacity; Indigenous; knowledge
   braiding; restoration; species distribution modeling
ID SPECIES DISTRIBUTION MODELS; ECOLOGICAL RESTORATION; VEGETATION;
   RESILIENCE; DYNAMICS; POLICY
AB The restoration of culturally significant landscapes poses formidable challenges given more than 160 years of settler-colonial land use change and a rapidly changing climate. A novel approach to these challenges braids Indigenous and western scientific knowledge. This case study braids Indigenous plant knowledge, species distribution models (SDMs), and climate models to inform restoration of the Bear River Massacre site in Idaho, now stewarded by the Northwestern Band of the Shoshone Nation. MaxEnt SDMs were used to project the future spatial distribution of culturally significant plant species under medium (SSP2-4.5) and high (SSP5-8.5) emissions scenarios. These results support Tribal revegetation priorities and approaches, identified by tradeoffs between each species' current and future suitability. This research contributes to a knowledge-braiding approach to the analysis of climate risks, vulnerabilities, and restoration possibilities for Indigenous-led restoration projects by using the Wuda Ogwa ecological restoration site as a case study.
C1 [Koutzoukis, Sofia] Utah State Univ, Dept Wildland Resources, Logan, UT 84322 USA.
   [Koutzoukis, Sofia; Munger, Will; Capito, Lindsay; Klain, Sarah C.; Brunson, Mark W.; Huntly, Nancy] Utah State Univ, Ecol Ctr, Logan, UT 84322 USA.
   [Munger, Will; Klain, Sarah C.; Brunson, Mark W.] Utah State Univ, Dept Environm & Soc, Logan, UT 84322 USA.
   [Capito, Lindsay] Utah State Univ, Dept Watershed Sci, Logan, UT 84322 USA.
   [Parry, Darren; Parry, Brad] Northwestern Band Shoshone Nation, Ogden, UT 84401 USA.
   [Huntly, Nancy] Utah State Univ, Dept Biol, Logan, UT 84322 USA.
   [Taylor, Travis] BIOWEST Inc, Logan, UT 84321 USA.
C3 Utah System of Higher Education; Utah State University; Utah System of
   Higher Education; Utah State University; Utah System of Higher
   Education; Utah State University; Utah System of Higher Education; Utah
   State University; Utah System of Higher Education; Utah State University
RP Koutzoukis, S (corresponding author), Utah State Univ, Dept Wildland Resources, Logan, UT 84322 USA.
EM skoutzoukis@gmail.com
OI Koutzoukis, Sofia/0000-0002-6008-247X; Brunson, Mark/0000-0002-6456-3481
FU National Science Foundation [1633756]
FX Thanks to the many people involved in restoring Wuda Ogwa including
   Northwestern Band of Shoshone Nation elders, staff, and tribal council,
   BIO-WEST Inc., Hansen, Allen & Luce, Trout Unlimited, and the Wildlife
   Conservation Society. Thanks to B. Schumacher for additional help with
   data analysis. This project was supported by the National Science
   Foundation under Grant No. 1633756.
CR Aerotas, 2018, PHANTOM 4 RTK PPK PR
   Almazroui M, 2021, EARTH SYST ENVIRON, V5, P1, DOI 10.1007/s41748-021-00199-5
   [Anonymous], 2022, IPCC, 2022: Climate Change 2022: Impacts, Adaptation and Vulnerability, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   [Anonymous], 2022, Web Soil Survey
   Aronson J., 1993, Restoration Ecology, V1, P8, DOI 10.1111/j.1526-100X.1993.tb00004.x
   Avery C., 2022, BIA BRANCH TRIBAL CL
   Bailey EC, 2024, BMC ECOL EVOL, V24, DOI 10.1186/s12862-024-02236-z
   Batchelor JL, 2015, ENVIRON MANAGE, V55, P930, DOI 10.1007/s00267-014-0436-2
   Belsky AJ, 1999, J SOIL WATER CONSERV, V54, P419
   Brabec MM, 2015, RANGELAND ECOL MANAG, V68, P432, DOI 10.1016/j.rama.2015.07.001
   Brierley G, 2024, RIVER RES APPL, V40, P1766, DOI 10.1002/rra.4219
   Bucharova A, 2019, CONSERV GENET, V20, P7, DOI 10.1007/s10592-018-1067-6
   Butterfield BJ, 2017, RESTOR ECOL, V25, pS155, DOI 10.1111/rec.12381
   CALLAWAY RM, 1992, INT J PLANT SCI, V153, P434, DOI 10.1086/297049
   Choy YK, 2018, ECOL ECON, V145, P1, DOI 10.1016/j.ecolecon.2017.08.005
   Clary W.P., 1996, RESPONSE DEPLETED SA
   Clewell AF., 2013, ECOLOGICAL RESTORATI, P137, DOI 10.5822/978-1-59726-323-87
   Cochrane A, 2015, GLOBAL ECOL BIOGEOGR, V24, P12, DOI 10.1111/geb.12234
   Dickson-Hoyle S, 2022, RESTOR ECOL, V30, DOI 10.1111/rec.13566
   Duarte M, 2019, PEERJ, V7, DOI 10.7717/peerj.7409
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   Fairfax E, 2018, ECOHYDROLOGY, V11, DOI 10.1002/eco.1993
   Falk DA, 2017, ANN MO BOT GARD, V102, P201, DOI 10.3417/2017006
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fischer J, 2021, TRENDS ECOL EVOL, V36, P20, DOI 10.1016/j.tree.2020.08.018
   Fourcade Y, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0097122
   Gibson PP, 2014, AQUAT CONSERV, V24, P391, DOI 10.1002/aqc.2432
   Gilbert SL, 2020, CONSERV BIOL, V34, P289, DOI 10.1111/cobi.13401
   Grayson DK, 2011, GREAT BASIN: A NATURAL PREHISTORY, REVISED AND EXPANDED EDITION
   Hansen BradleyPaul., 2013, An Environmental History of the Bear River Range, 1860-1910
   Hijmans RJ., 2017, DISMO SPECIES DISTRI, DOI DOI 10.1016/J.JHYDROL.2011.07.022
   Hijmans RJ, 2012, ECOLOGY, V93, P679, DOI 10.1890/11-0826.1
   HULL AC, 1974, J RANGE MANAGE, V27, P27, DOI 10.2307/3896433
   Jennings MD, 2009, ECOL MONOGR, V79, P173, DOI 10.1890/07-1804.1
   Jiménez-Valverde A, 2013, GLOBAL ECOL BIOGEOGR, V22, P508, DOI 10.1111/geb.12007
   Johnson RC, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0148982
   Jordan CE, 2022, WIRES WATER, V9, DOI 10.1002/wat2.1592
   Katz G., 2016, RUSSIAN OLIVE BIOL I
   Kettenring KM, 2014, J APPL ECOL, V51, P339, DOI 10.1111/1365-2664.12202
   Khafaga O., 2011, PREDICTING POTENTIAL, V3
   Kimmerer R., 2011, Human Dimensions of Ecological Restoration, P257, DOI 10.5822/978-1-61091-039-2_18
   Koutzoukis S., 2024, HYDROSHARE, DOI [10.4211/hs.8aa14e6af1fc4f8e89d325f55c08bcb7, DOI 10.4211/HS.8AA14E6AF1FC4F8E89D325F55C08BCB7]
   Lemos MC, 2010, WIRES CLIM CHANGE, V1, P670, DOI 10.1002/wcc.71
   Liu L, 2021, LAND DEGRAD DEV, V32, P1796, DOI 10.1002/ldr.3831
   Lobo JM, 2008, GLOBAL ECOL BIOGEOGR, V17, P145, DOI 10.1111/j.1466-8238.2007.00358.x
   Macfarlane WW, 2017, J ENVIRON MANAGE, V202, P447, DOI 10.1016/j.jenvman.2016.10.054
   Marks-Block T, 2021, FIRE ECOL, V17, DOI 10.1186/s42408-021-00092-6
   McElwee P, 2020, J APPL ECOL, V57, P1666, DOI 10.1111/1365-2664.13705
   Meffe G.K., 1997, PRINCIPLES CONSERVAT, V2nd
   Mihesuah DA., 2019, RESTORING CULTURAL K
   MILLER RF, 1994, BIOSCIENCE, V44, P465, DOI 10.2307/1312298
   Norman E., 2020, HYDROLOGIC RESPONSE
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   NOWAK CL, 1994, AM J BOT, V81, P265, DOI 10.2307/2445452
   NOWAK CL, 1994, J VEG SCI, V5, P579, DOI 10.2307/3235985
   Omernik JM, 2014, ENVIRON MANAGE, V54, P1249, DOI 10.1007/s00267-014-0364-1
   Padonou EA, 2015, AFR J ECOL, V53, P83, DOI 10.1111/aje.12205
   Parry Darren., 2019, BEAR RIVER MASSACRE
   Pausas JG, 2021, J ECOL, V109, P3962, DOI 10.1111/1365-2745.13781
   Pilliod DS, 2018, ENVIRON MANAGE, V61, P58, DOI 10.1007/s00267-017-0957-6
   Posner SM, 2016, P NATL ACAD SCI USA, V113, P1760, DOI 10.1073/pnas.1502452113
   PRISM Climate Group, 2014, OREGON STATE U 2014
   Pyke DA, 2002, J RANGE MANAGE, V55, P584, DOI 10.2307/4004002
   Reid AJ, 2021, FISH FISH, V22, P243, DOI 10.1111/faf.12516
   Reid K., 2017, ARCHEOLOGICAL INVEST, DOI [10.13140/RG.2.2.35861.42728, DOI 10.13140/RG.2.2.35861.42728]
   Remya K, 2015, ECOL ENG, V82, P184, DOI 10.1016/j.ecoleng.2015.04.053
   Reyes-García V, 2019, RESTOR ECOL, V27, P3, DOI 10.1111/rec.12894
   Satterfield T, 2013, J ENVIRON MANAGE, V117, P103, DOI 10.1016/j.jenvman.2012.11.033
   Semchenko M, 2012, J ECOL, V100, P459, DOI 10.1111/j.1365-2745.2011.01936.x
   SIDLE RC, 1991, J SOIL WATER CONSERV, V46, P268
   Simonson WD, 2021, PERSPECT ECOL CONSER, V19, P300, DOI 10.1016/j.pecon.2021.05.002
   Skidmore P, 2022, ANTHROPOCENE, V38, DOI 10.1016/j.ancene.2022.100334
   Smith C., 2023, ENV PLANNING F, V2, P121, DOI [10.1177/26349825221142292, DOI 10.1177/26349825221142292]
   Spykerman BR., 1977, SHOSHONI CONCEPTUALI
   Stocker CG., 2021, THESIS UTAH STATE U
   Tengö M, 2017, CURR OPIN ENV SUST, V26-27, P17, DOI 10.1016/j.cosust.2016.12.005
   Turner N., 2008, The earth's blanket: traditional teachings for sustainable living
   TYREE MT, 1994, TREE PHYSIOL, V14, P455, DOI 10.1093/treephys/14.5.455
   Wall Kimmerer R., 2013, Braiding Sweetgrass
   Wyser K, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab81c2
   YOUNG JA, 1972, J RANGE MANAGE, V25, P194, DOI 10.2307/3897054
   Zizka A, 2019, METHODS ECOL EVOL, V10, P744, DOI 10.1111/2041-210X.13152
NR 82
TC 0
Z9 0
U1 5
U2 5
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1061-2971
EI 1526-100X
J9 RESTOR ECOL
JI Restor. Ecol.
PD NOV
PY 2024
VL 32
IS 8
DI 10.1111/rec.14230
EA JUL 2024
PG 11
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA L1S8H
UT WOS:001271558500001
DA 2025-01-10
ER

PT J
AU Knudsen, BT
   Stage, C
   Zandersen, M
AF Knudsen, Britta Timm
   Stage, Carsten
   Zandersen, Marianne
TI Interspecies Park Life: Participatory Experiments and Micro-Utopian
   Landscaping to Increase Urban Biodiverse Entanglement
SO SPACE AND CULTURE
LA English
DT Article
DE biodiversity; material citizenship; participation; micro-utopias;
   events; temporality
AB This article analyses the design and outcomes of the research project Rewilding Lystrup, which involved a partnership with local authorities in Aarhus, Denmark, to merge two distinct processes: climate adaptation and the biodiversity transformation of a public park. Our key interest in the article is the potential offered by experimental participatory events to support the biodiverse transformation of public areas by creating micro-utopian entanglements of citizens and nonhuman organisms. The article will focus on three experimental participatory events enacted as part of the research project: (1) public dialogues and workshops, (2) the arrival on the scene of charismatic cows, and (3) pop-up events in the form of participatory playing. The article concludes that this kind of material citizenship is a powerful strategy for stimulating public engagement in building more biodiverse futures. The strategy thus materializes micro-utopian spaces where the importance of biodiversity can be rehearsed and sensed by local communities. In this way, a culturally transformative zone of dreaming while doing-or doing dreams-is enacted.
C1 [Knudsen, Britta Timm] Aarhus Univ, Sch Culture & Commun, ARTS, Jens Chr Skousvej 2, DK-8000 Aarhus C, Denmark.
   [Stage, Carsten] Aarhus Univ, Sch Commun & Culture, Aarhus C, Denmark.
   [Zandersen, Marianne] Aarhus Univ, Dept Environm Sci, Frederiksborgvej 399, DK-4000 Roskilde, Denmark.
C3 Aarhus University; Aarhus University; Aarhus University
RP Knudsen, BT (corresponding author), Aarhus Univ, Sch Culture & Commun, ARTS, Jens Chr Skousvej 2, DK-8000 Aarhus C, Denmark.
EM norbtk@cc.au.dk
RI Zandersen, Marianne/AAF-1323-2020
FU Aarhus University Strategic Research funds from DCE
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: The
   research was financed by Aarhus University Strategic Research funds from
   DCE for the project "Permeable Green City Aarhus - Combining life
   policies, biodiversity, citizen empowerment and sustainable urban
   drainage to create an ecologically and socially resilient city".
CR Aarhus Municipality, 2014, KLIM 2014
   Aarhus Municipality, 2016, SOC AARH 2016
   Allen Will., 2010, EDIBLE ESTATES ATTAC
   [Anonymous], 2000, GLOBAL CHANGE NEWSLE, DOI [10.1007/3-540-26590-2_3, DOI 10.1007/3-540-26590-2_3]
   [Anonymous], Our Natural Capital
   [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
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Blanes R, 2016, CADERNOS ARTE ANTROP, V5, P5
   Bourriaud Nicolas., 2002, Relational Aesthetics
   Braidotti Rosi., 2013, POSTHUMAN
   Bruns A, 2008, FIBRECULTURE J, V11
   Carpentier N, 2011, MEDIA AND PARTICIPATION: A SITE OF IDEOLOGICAL-DEMOCRATIC STRUGGLE, P1
   CBD, 2024, The Biodiversity Plan
   Cooper D., 2014, EVERYDAYS UTOPIAS CO
   Davidson TonyaK., 2011, Ecologies of Affect: Placing Nostalgia, Desire, and Hope
   DeLanda M., 2019, NEW PHILOS SOC ASSEM, DOI DOI 10.1111/J.1467-8330.2008.00646.X
   Deleuze G., 1987, A Thousand Plateaus: Capitalism and Schizophrenia
   Descola P., 1996, NATURE SOC, P82
   Escobar A, 1999, CURR ANTHROPOL, V40, P1, DOI 10.1086/515799
   EuMon, 2008, EUMON POLICY BRIEFS
   European Environment Agency, 2016, EEA contribution to the implementation of the EU Biodiversity Strategy to 2020
   Fromm E., 1956, The art of loving
   Gibson-Graham J.K., 1996, END CAPITALISM AS WE
   Gibson-Graham J.K., 2013, TAKE BACK EC ETHICAL
   Gunderson R., 2014, HUMANITY SOC, V38, P182, DOI DOI 10.1177/0160597614529112
   Haraway Donna, 2016, A/b: Autobiography Studies, DOI DOI 10.1080/08989575.2019.1664163
   Ignatieva M, 2013, J ARCHIT URBAN, V37, P1, DOI 10.3846/20297955.2013.786284
   Kellert S., 1993, The Biophilia Hypothesis
   Kroijer S, 2010, SOC ANAL, V54, P139, DOI 10.3167/sa.2010.540309
   Latour B., 2004, Body Society, V10, P205, DOI [10.1177/1357034X04042943, DOI 10.1177/1357034X04042943]
   Latour B., 2005, Reassembling the social: An introduction to actor-network theory
   Law J., 2004, AFTER METHOD
   Levitas R, 2013, UTOPIA AS METHOD: THE IMAGINARY RECONSTITUTION OF SOCIETY, P1, DOI 10.1057/9781137314253
   Linder F, 2003, CONTEMP SOCIOL, V32, P255, DOI 10.2307/3089636
   Lo V., 2016, Synthesis Report on Experiences with Ecosystem Based Approaches to Climate Change Adaptation and Disaster Risk Reduction
   Lorimer J, 2007, ENVIRON PLANN D, V25, P911, DOI 10.1068/d71j
   Lugones M, 2010, HYPATIA, V25, P742, DOI 10.1111/j.1527-2001.2010.01137.x
   Lury Celia., 2012, INVENTIVE METHODS HA
   MacCannell D. J., 1976, The tourist: A new theory of the leisure class
   Marres N, 2012, MATERIAL PARTICIPATION: TECHNOLOGY, THE ENVIRONMENT AND EVERYDAY PUBLICS, P1, DOI 10.1057/9781137029669
   Marres N, 2011, ECON SOC, V40, P510, DOI 10.1080/03085147.2011.602294
   Mignolo W., 2018, DECOLONIALITY CONCEP
   Pateman C., 1970, Participation and democratic theory
   Pedersen AB, 2010, PUBLIC ADMIN, V88, P346, DOI 10.1111/j.1467-9299.2009.01790.x
   Romano Claude., 2009, EVENT AND WORLD
   Simon N., 2010, The Participatory Museum
   Stage C., 2015, CONJUNCTIONS TRANSDI, V2, P118
   STEBBINS RA, 1982, PAC SOCIOL REV, V25, P251
   Urry J., 2011, The Tourist Gaze, DOI [10.4135/9781446251904, DOI 10.4135/9781446251904]
   Wenger E., 1998, Communities of Practice: Learning, Meaning, and Identity, DOI DOI 10.1017/CBO9780511803932
   Wilson E.O., 1984, P1
   Zaragocin S, 2019, ANTIPODE, V51, P373, DOI 10.1111/anti.12454
NR 52
TC 3
Z9 3
U1 0
U2 9
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 1206-3312
EI 1552-8308
J9 SPACE CULT
JI Space Cult.
PD NOV
PY 2022
VL 25
IS 4
BP 720
EP 742
DI 10.1177/1206331219863312
PG 23
WC Cultural Studies; Geography
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Cultural Studies; Geography
GA 5N1FK
UT WOS:000871535100014
DA 2025-01-10
ER

PT J
AU de Andrade, TAB
   Beirao, JNDC
   de Arruda, AJV
   Cruz, C
AF Brito de Andrade, Tarciana Araujo
   Dinis Cabral Beirao, Jose Nuno
   Vieira de Arruda, Amilton Jose
   Cruz, Cristina
TI The Adaptive Power of <i>Ammophila arenaria</i>: Biomimetic Study,
   Systematic Observation, Parametric Design and Experimental Tests with
   Bimetal
SO POLYMERS
LA English
DT Article
DE biomimetic and design; climate adaptation; Ammophila arenaria;
   reversible leaf movement; bimetal
ID PRINCIPLES; LINK
AB The aim of our study was to apply a biomimetic approach, inspired by the Ammophila arenaria. This organism possesses a reversible leaf opening and closing mechanism that responds to water and salt stress (hydronastic movement). We adopted a problem-based biomimetic methodology in three stages: (i) two observation studies; (ii) how to abstract and develop a parametric model to simulate the leaf movement; and (iii) experiments with bimetal, a smart material that curls up when heated. We added creases to the bimetal active layer in analogy to the position of bulliform cells. These cells determine the leaf-closing pattern. The experiments demonstrated that creases influence and can change the direction of the bimetal natural movement. Thus, it is possible to replicate the Ammophila arenaria leaf-rolling mechanism in response to temperature variation and solar radiation in the bimetal. In future works, we will be able to propose responsive facade solutions based on these results.
C1 [Brito de Andrade, Tarciana Araujo; Dinis Cabral Beirao, Jose Nuno] Univ Lisbon, Fac Arquitetura, Ctr Invest Arquitetura Urbanismo & Design CIAUD, P-1349063 Lisbon, Portugal.
   [Vieira de Arruda, Amilton Jose] Univ Fed Pernambuco, Programa Posgrad Design PPGDesign, BR-290 Recife, PE, Brazil.
   [Cruz, Cristina] Univ Lisbon, Fac Ciencias, Dept Plant Biol, P-1749016 Lisbon, Portugal.
C3 Universidade de Lisboa; Universidade Federal de Pernambuco; Universidade
   de Lisboa
RP de Andrade, TAB (corresponding author), Univ Lisbon, Fac Arquitetura, Ctr Invest Arquitetura Urbanismo & Design CIAUD, P-1349063 Lisbon, Portugal.
EM andrade.tarci@gmail.com; jnb@fa.ulisboa.pt; amilton.arruda@ufpe.br;
   ccruz@fc.ul.pt
RI Cruz, Cristina/F-2643-2011; Beirao, Jose/H-3649-2016; Andrade,
   Tarciana/V-3711-2018
OI Cruz, Cristina/0000-0003-3100-463X; Beirao, Jose/0000-0003-4743-6082;
   Andrade, Tarciana/0000-0002-8251-2522
FU Fundacao para a Ciencia e a Tecnologia (FCT) [SFRH/BD/144910/2019];
   Fundação para a Ciência e a Tecnologia [SFRH/BD/144910/2019] Funding
   Source: FCT
FX This work was supported by the Fundacao para a Ciencia e a Tecnologia
   (FCT), SFRH/BD/144910/2019.
CR Andrade T., 2020, P 4 INT C BIOD ARCH P 4 INT C BIOD ARCH, P212
   Andrade T., 2021, P ENSUS 2021 9 ENC S P ENSUS 2021 9 ENC S, P136
   Arruda A., 2018, METODOS PROCESSOS BI METODOS PROCESSOS BI, P260
   Badarnah L, 2015, ARCHIT SCI REV, V58, P120, DOI 10.1080/00038628.2014.922458
   Biomimicry 3.8, 2015, BIOM DESIGNLENS VIS BIOM DESIGNLENS VIS, P12
   Camacho D.O.J., 2018, PARC Pesqui. Arquitetura Construcao, V8, P205, DOI [10.20396/parc.v8i3.8650237, DOI 10.20396/PARC.V8I3.8650237]
   Charpentier V, 2017, SMART MATER STRUCT, V26, DOI 10.1088/1361-665X/aa640f
   Chergui A., 2017, J MAT ENV SCI, V8, P3759
   Costa J., 2019, ATLAS FLORA SERRA AG ATLAS FLORA SERRA AG, P592
   Fiorito F, 2016, RENEW SUST ENERG REV, V55, P863, DOI 10.1016/j.rser.2015.10.086
   Foged I., P 30 ANN C ASS COMP P 30 ANN C ASS COMP
   Gadelhak M., 2019, THESIS TU U MUNCHEN THESIS TU U MUNCHEN
   Gadgil R., 2006, MARRAM GRASS FRIEND, P36
   Goncalves H., 2004, DGGEIP3E DGGEIP3E, P52
   Grigore M., 2014, HALOPHYTE INTEGRATIV, P544
   HUISKES AHL, 1979, J ECOL, V67, P363, DOI 10.2307/2259356
   Instituto Portugues do Mar e da Atmosfera, AR ED CLIM PORT CONT AR ED CLIM PORT CONT
   Kadioglu A, 2012, PLANT SCI, V182, P42, DOI 10.1016/j.plantsci.2011.01.013
   Kanthal, 2008, KANTH THERM BIM HDB KANTH THERM BIM HDB, P126
   Kirimtat A, 2016, RENEW SUST ENERG REV, V53, P23, DOI 10.1016/j.rser.2015.08.020
   Kuru A, 2019, ENERG BUILDINGS, V205, DOI 10.1016/j.enbuild.2019.109544
   Laracuente N., 2020, P 4 INT C BIOD ARCH P 4 INT C BIOD ARCH, P175
   López M, 2017, RENEW SUST ENERG REV, V67, P692, DOI 10.1016/j.rser.2016.09.018
   Marshall S., 2019, BREEZE BLOCK BOOK, P184
   Mazzoleni I, 2013, BIOMIMETIC SER, P1, DOI 10.1201/b14573
   Oliveira M., 2019, THESIS I U LISBOA LI THESIS I U LISBOA LI
   Oxman R, 2017, DESIGN STUD, V52, P4, DOI 10.1016/j.destud.2017.06.001
   Rascio N., 2012, Elementi di fisiologia vegetale, P400
   Ritter A., 2007, Smart Materials: in architecture, interior architecture and design, P189
   Rivière M, 2017, PHYS BIOL, V14, DOI 10.1088/1478-3975/aa5945
   Rodríguez-Echeverría S, 2008, J COASTAL RES, V24, P122, DOI 10.2112/06-0668.1
   Sack-Nielsen T., 2017, THESIS AARHUS SCH AR THESIS AARHUS SCH AR
   Schleicher S, 2015, COMPUT AIDED DESIGN, V60, P105, DOI 10.1016/j.cad.2014.01.005
   Sociedade Portuguesa de Botanica, FLOR FLOR
   Sung D, 2016, J ARCHIT EDUC, V70, P96, DOI 10.1080/10464883.2016.1122479
   Vazquez E., 2019, J FACADE DESIGN ENG, P91, DOI [10.7480/JFDE.2019.2.3877, DOI 10.7480/JFDE.2019.2.3877]
   Vieira A., 2013, COBOGO PERNAMBUCO COBOGO PERNAMBUCO, P120
   World Weather & Climate Information, CLIM AV MONTHL WEATH CLIM AV MONTHL WEATH
NR 38
TC 7
Z9 7
U1 2
U2 25
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4360
J9 POLYMERS-BASEL
JI Polymers
PD AUG
PY 2021
VL 13
IS 15
AR 2554
DI 10.3390/polym13152554
PG 17
WC Polymer Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Polymer Science
GA TW1KU
UT WOS:000682169100001
PM 34372158
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Bhopal, A
   Medhin, H
   Bæroe, K
   Norheim, OF
AF Bhopal, Anand
   Medhin, Haileselassie
   Baeroe, Kristine
   Norheim, Ole F.
TI Climate change and health in Ethiopia: To what extent have the health
   dimensions of climate change been integrated into the Climate-Resilient
   Green Economy?
SO WORLD MEDICAL & HEALTH POLICY
LA English
DT Article
DE climate change; Climate-Resilient Green Economy; sustainable development
ID CO-BENEFITS; POLICY
AB Ethiopia is experiencing an increasing frequency and intensity of slow-onset and acute disasters caused by climate change, with significant health impacts. Understanding and addressing these impacts involves trade-offs, which are central to effective priority setting in health and overarching efforts to meet the Sustainable Development Goals. Despite minimal historic greenhouse gas emissions, Ethiopia has been at the forefront of climate action since launching the Climate-Resilient Green Economy (CRGE) in 2011, a low-carbon development strategy. To learn from the Ethiopian approach, this paper examines to what extent health has been integrated into the CRGE. We found that the early years of the CRGE prioritized developing the financial basis of the green economy, while the health impacts of climate change have only been tentatively considered to date and remain detached from broader health strategies. Further analysis of climate adaptation measures, "health co-benefits," and reducing specific vulnerabilities of the health sector could help improve health and build climate resilience.
C1 [Bhopal, Anand; Norheim, Ole F.] Univ Bergen, Dept Global Publ Hlth & Primary Care, Bergen Ctr Eth & Prior Setting, Bergen, Norway.
   [Medhin, Haileselassie] World Resources Inst, Europe Reg Off, The Hague, Netherlands.
   [Baeroe, Kristine] Univ Bergen, Dept Global Publ Hlth & Primary Care, Arstadveien 2, N-17804 Bergen, Norway.
C3 University of Bergen; University of Bergen
RP Bhopal, A (corresponding author), Univ Bergen, Dept Global Publ Hlth & Primary Care, Arstadveien 2, N-17804 Bergen, Norway.
EM anand.bhopal@uib.no
RI Norheim, Ole F./AAC-8771-2020
OI Norheim, Ole F./0000-0002-5748-5956; Bhopal, Anand/0000-0002-2766-8102
CR Admasu K, 2015, LANCET, V386, pE31, DOI 10.1016/S0140-6736(15)61139-4
   Afar National Regional State Task Force, 2010, AF NAT REG STAT PROG
   [Anonymous], 2020, Building Capacity on Climate Change and Human Health
   [Anonymous], 2016, 8 CARIAA INT DEV RES
   [Anonymous], 2011, ETH CLIM RES GREEN E
   [Anonymous], 2015, LANCET
   Arksey H., 2005, INT J SOC RES METHOD, V8, P19, DOI [10.1080/1364557032000119616, DOI 10.1080/1364557032000119616]
   Bass S., 2013, MAKING GROWTH GREEN
   Climate Security Expert Network, 2019, CLIM FRAG RISK BRIEF
   Dire Dawa Environmental Protection Agency, 2011, DIR DAW ADM PROGR AD
   Environmental policy., 1997, ENV POLICY
   Ethiopian Environmental Protection Agency, 2012, UN C SUST DEV RIO20
   Ethiopian panel on Climate Change, 2015, 1 ASS REP WORK GROUP
   Federal Government of Ethiopia, 2011, CLIM RES GREEN EC VI
   Federal Ministry of Health, 2015, VULNERABILITY ADAPTA
   Federal Ministry of Health, 2014, NAT FRAM CLIM RES HL
   Federal Ministry of Transport of Ethiopia, 2017, ETH CLIM RES TRANSP
   Federal Ministry of Water Irrigation and Energy, 2015, ETH CLIM RES GREEN E
   Global Green Growth Institute, 2016, ETH COUNTR PLANN 201
   Haines A, 2009, LANCET, V374, P2104, DOI 10.1016/S0140-6736(09)61759-1
   Johansson KA, 2019, BMJ GLOB HEALTH, V4, DOI 10.1136/bmjgh-2018-001320
   Markandya A, 2018, LANCET PLANET HEALTH, V2, pE126, DOI [10.1016/S2542-5196(18)30029-9, 10.1016/s2542-5196(18)30029-9]
   Medhin H., 2019, OXFORD HDB ETHIOPIAN
   Mitike G, 2016, ETHIOP J HEALTH DEV, V30, P42
   MSF, 2021, HLTH FAC TARG TIGR R
   National Planning Commission, 2016, FEDERAL DEMOCRATIC R
   Norheim OF, 2015, LANCET, V385, P239, DOI 10.1016/S0140-6736(14)61591-9
   Norheim Ole F., 2019, GLOBAL HLTH PRIORITY
   Notre Dame Global Adaptation Initiative, NOTR DAM GLOB AD IN
   Oromia National Regional State Task Force, 2011, OR NAT REG STAT PROG
   Portner H.O., 2018, Special Report: Global Warming of 1.5C
   Robinson S., 2013, ESSP Working Pap, V53, P1
   Scovronick N, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09499-x
   Shaw C, 2014, NAT CLIM CHANGE, V4, P427, DOI 10.1038/NCLIMATE2247
   Simane B, 2016, ETHIOP J HEALTH DEV, V30, P28
   Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709
   United Nations Department of Economic and Social Affairs Population Division, 2019, DEP EC SOC AFF WORLD
   United Nations Development Programme, 2015, INT POV SUST NAT DEV
   United Nations Development Programme, ETH LAUNCH STRAT LOW
   van de Kamp T, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05654-y
   Watts N, 2019, LANCET, V394, P1836, DOI 10.1016/S0140-6736(19)32596-6
   Willett W, 2019, LANCET, V393, P447, DOI 10.1016/S0140-6736(18)31788-4
   World Bank, 2010, ETH EC AD CLIM CHANG
NR 43
TC 5
Z9 5
U1 0
U2 6
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1948-4682
J9 WORLD MED HEALTH POL
JI World Med. Health Policy
PD JUN
PY 2021
VL 13
IS 2
BP 293
EP 312
DI 10.1002/wmh3.447
EA MAY 2021
PG 20
WC Public, Environmental & Occupational Health
WE Emerging Sources Citation Index (ESCI)
SC Public, Environmental & Occupational Health
GA SW6DH
UT WOS:000651389000001
OA Green Published
DA 2025-01-10
ER

PT J
AU Bay, RA
   Karp, DS
   Saracco, JF
   Anderegg, WRL
   Frishkoff, LO
   Wiedenfeld, D
   Smith, TB
   Ruegg, K
AF Bay, Rachael A.
   Karp, Daniel S.
   Saracco, James F.
   Anderegg, William R. L.
   Frishkoff, Luke O.
   Wiedenfeld, David
   Smith, Thomas B.
   Ruegg, Kristen
TI Genetic variation reveals individual-level climate tracking across the
   annual cycle of a migratory bird
SO ECOLOGY LETTERS
LA English
DT Article
DE Birds; climate; connectivity; local adaptation; migration
ID YELLOW WARBLER; NORTHERN POPULATIONS; ADAPTATION; SELECTION; SURVIVAL;
   SONGBIRD; OSCILLATION; EVOLUTION; INFERENCE; SCALE
AB For migratory species, seasonal movements complicate local climate adaptation, as it is unclear whether individuals track climate niches across the annual cycle. In the migratory songbird yellow warbler (Setophaga petechia), we find a correlation between individual-level wintering and breeding precipitation, but not temperature. Birds wintering in the driest regions of the Neotropics breed in the driest regions of North America. Individuals from drier regions also possess distinct morphologies and population responses to varying rainfall. We find a positive association between bill size and breeding season precipitation which, given documented climate-associated genomic variation, might reflect adaptation to local precipitation regimes. Relative abundance in the breeding range is linked to interannual fluctuations in precipitation, but the directionality of this response varies across geography. Together, our results suggest that variation in climate optima may exist across the breeding range of yellow warblers and provide a mechanism for selection across the annual cycle.
C1 [Bay, Rachael A.] Univ Calif Davis, Dept Evolut & Ecol, Davis, CA 95616 USA.
   [Karp, Daniel S.] Univ Calif Davis, Dept Wildlife Fish & Conservat Biol, Davis, CA 95616 USA.
   [Saracco, James F.] Inst Bird Populat, Petaluma, CA 94952 USA.
   [Anderegg, William R. L.] Univ Utah, Sch Biol Sci, Salt Lake City, UT 84112 USA.
   [Frishkoff, Luke O.] Univ Texas Arlington, Dept Biol, Arlington, TX 76019 USA.
   [Wiedenfeld, David] Amer Bird Conservancy, The Plains, VA 20198 USA.
   [Smith, Thomas B.] Univ Calif Los Angeles, Inst Environm & Sustainabil, Los Angeles, CA 90024 USA.
   [Smith, Thomas B.] Univ Calif Los Angeles, Dept Ecol & Evolut, Los Angeles, CA 90024 USA.
   [Ruegg, Kristen] Colorado State Univ, Dept Biol, Ft Collins, CA 80523 USA.
C3 University of California System; University of California Davis;
   University of California System; University of California Davis; Utah
   System of Higher Education; University of Utah; University of Texas
   System; University of Texas Arlington; University of California System;
   University of California Los Angeles; University of California System;
   University of California Los Angeles; Colorado State University
RP Bay, RA (corresponding author), Univ Calif Davis, Dept Evolut & Ecol, Davis, CA 95616 USA.
EM rbay@ucdavis.edu
RI Frishkoff, Luke/H-8680-2019; , Tom Smtih/JXX-5281-2024; Karp,
   Daniel/KQU-3184-2024; Saracco, James/H-6520-2019
OI Frishkoff, Luke/0000-0001-5738-2140; Ruegg, Kristen/0000-0001-5579-941X;
   Karp, Daniel/0000-0002-3832-4428
FU National Science Foundation [ACI-1548562]; NSF Postdoctoral Fellowship;
   NSF Rules of Life EAGER [1837940]; National Geographic [WW-202R-17];
   California Energy Commission [EPC-15-043]; NSF CAREER [1942313]; First
   Solar Incorporated; Direct For Biological Sciences; Division Of
   Environmental Biology [1942313] Funding Source: National Science
   Foundation; Direct For Biological Sciences; Division Of Integrative
   Organismal Systems [1837940] Funding Source: National Science Foundation
FX The authors thank many people who assisted in sample collection,
   especially M. Boulet, R. Dawson, E. Milot, K. Hobson, H. L. Gibbs, B.
   Keith, the University of Washington Burke Museum, S. Albert, T. Kita and
   the many Institute for Bird Populations and MAPS volunteers for
   providing or assisting with collection of samples. This work used the
   Extreme Science and Engineering Discovery Environment (XSEDE), which is
   supported by National Science Foundation grant ACI-1548562. This work
   was made possible by an NSF Postdoctoral Fellowship to R. A. B, and
   support from NSF Rules of Life EAGER to R. A. B. (1837940), National
   Geographic to K. R. (WW-202R-17), California Energy Commission to K. R.
   (EPC-15-043), NSF CAREER to K. R. (1942313) and First Solar
   Incorporated. Finally, the authors thank three anonymous reviewers for
   comments that substantially improved the manuscript. This is
   contribution no. 699 of The Institute for Bird Populations.
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Ali OA, 2016, GENETICS, V202, P389, DOI 10.1534/genetics.115.183665
   Anderson EC, 2008, CAN J FISH AQUAT SCI, V65, P1475, DOI 10.1139/F08-049
   Badyaev AV, 2008, EVOLUTION, V62, P1951, DOI 10.1111/j.1558-5646.2008.00428.x
   Bay RA, 2018, SCIENCE, V359, P83, DOI 10.1126/science.aan4380
   Bay RA, 2014, CURR BIOL, V24, DOI 10.1016/j.cub.2014.10.044
   Bosse M, 2017, SCIENCE, V358, P365, DOI 10.1126/science.aal3298
   Boulet Marylene, 2006, Ornithological Monographs, V61, P29, DOI 10.1642/0078-6594(2006)61[29:IAOGSI]2.0.CO;2
   Bradburd GS, 2018, GENETICS, V210, P33, DOI 10.1534/genetics.118.301333
   Brady SP, 2019, EVOL APPL, V12, P1229, DOI 10.1111/eva.12844
   Bridge ES, 2013, J FIELD ORNITHOL, V84, P121, DOI 10.1111/jofo.12011
   Catchen J, 2013, MOL ECOL, V22, P3124, DOI 10.1111/mec.12354
   Caye K, 2016, MOL ECOL RESOUR, V16, P540, DOI 10.1111/1755-0998.12471
   Chavarria-Pizarro T, 2019, ECOL EVOL, V9, P13902, DOI 10.1002/ece3.5826
   Cilimburg AB, 2002, AUK, V119, P778, DOI 10.1642/0004-8038(2002)119[0778:EODOSP]2.0.CO;2
   Fandos G, 2020, P ROY SOC B-BIOL SCI, V287, DOI 10.1098/rspb.2020.1799
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fink D, 2020, ECOL APPL, V30, DOI 10.1002/eap.2056
   Fitzpatrick MC, 2015, ECOL LETT, V18, P1, DOI 10.1111/ele.12376
   Gardner JL., 2016, Climate Change Responses, V3, P1
   Gelman A., 1992, Statistical Science, V7, P457, DOI DOI 10.1214/SS/1177011136
   Gibbs HL, 2000, MOL ECOL, V9, P2137, DOI 10.1046/j.1365-294X.2000.01136.x
   Gómez C, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2015.2458
   Goudet J, 2005, MOL ECOL NOTES, V5, P184, DOI 10.1111/j.1471-8286.2004.00828.x
   GRANT BR, 1993, P ROY SOC B-BIOL SCI, V251, P111, DOI 10.1098/rspb.1993.0016
   Gunnarsson TG, 2005, P ROY SOC B-BIOL SCI, V272, P2319, DOI 10.1098/rspb.2005.3214
   Harris I., 2014, International Journal of Climatology, V34, P623, DOI 10.1002/joc.3711
   Hobson KA, 2005, AUK, V122, P1037, DOI 10.1642/0004-8038(2005)122[1037:SIATDO]2.0.CO;2
   JANZEN DH, 1968, ECOLOGY, V49, P96, DOI 10.2307/1933565
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   Kelly JF, 2005, ECOL APPL, V15, P1487, DOI 10.1890/04-1704
   LaBarbera K, 2020, ROY SOC OPEN SCI, V7, DOI 10.1098/rsos.192203
   LaManna JA, 2012, AUK, V129, P734, DOI 10.1525/auk.2012.12017
   Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
   Layton KKS, 2020, EVOL APPL, V13, P1055, DOI 10.1111/eva.12922
   Link WA, 2002, ECOLOGY, V83, P2832, DOI 10.2307/3072019
   MacPherson MP, 2018, AUK, V135, P881, DOI 10.1642/AUK-17-209.1
   Mazerolle DF, 2005, J AVIAN BIOL, V36, P155, DOI 10.1111/j.0908-8857.2005.03289.x
   Milot E, 2000, MOL ECOL, V9, P667, DOI 10.1046/j.1365-294x.2000.00897.x
   Nott MP, 2002, GLOBAL ECOL BIOGEOGR, V11, P333, DOI 10.1046/j.1466-822X.2002.00296.x
   Pritchard JK, 2000, GENETICS, V155, P945
   Rañola JM, 2014, BIOINFORMATICS, V30, P2915, DOI 10.1093/bioinformatics/btu418
   Rehfeldt GE, 2002, GLOBAL CHANGE BIOL, V8, P912, DOI 10.1046/j.1365-2486.2002.00516.x
   Ruegg KC, 2014, MOL ECOL, V23, P5726, DOI 10.1111/mec.12977
   Saino N, 2004, P ROY SOC B-BIOL SCI, V271, P681, DOI 10.1098/rspb.2003.2656
   Sauer JR, 2017, CONDOR, V119, P576, DOI 10.1650/CONDOR-17-83.1
   Senar JC, 1997, ARDEA, V85, P269
   Sillett TS, 2000, SCIENCE, V288, P2040, DOI 10.1126/science.288.5473.2040
   Somveille M, 2019, ECOGRAPHY, V42, P225, DOI 10.1111/ecog.03531
   Spies I, 2020, EVOL APPL, V13, P362, DOI 10.1111/eva.12874
   Thorup K, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1601360
   Walters RJ, 2019, EVOL APPL, V12, P1487, DOI 10.1111/eva.12840
   WIEDENFELD DA, 1991, CONDOR, V93, P712, DOI 10.2307/1368203
   Winger BM, 2019, BIOL REV, V94, P737, DOI 10.1111/brv.12476
   Witynski ML, 2018, J FIELD ORNITHOL, V89, P37, DOI 10.1111/jofo.12237
   Zheng XW, 2012, BIOINFORMATICS, V28, P3326, DOI 10.1093/bioinformatics/bts606
   Zurell D, 2018, J BIOGEOGR, V45, P1459, DOI 10.1111/jbi.13351
NR 57
TC 16
Z9 19
U1 2
U2 35
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1461-023X
EI 1461-0248
J9 ECOL LETT
JI Ecol. Lett.
PD APR
PY 2021
VL 24
IS 4
BP 819
EP 828
DI 10.1111/ele.13706
EA FEB 2021
PG 10
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA QX4ME
UT WOS:000618662700001
PM 33594778
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Branham, J
   Onda, K
   Kaza, N
   BenDor, TK
   Salvesen, D
AF Branham, Jordan
   Onda, Kyle
   Kaza, Nikhil
   BenDor, Todd K.
   Salvesen, David
TI How does the removal of federal subsidies affect investment in coastal
   protection infrastructure?
SO LAND USE POLICY
LA English
DT Article
DE Coastal barrier resources act (CBRA); Natural hazards; Coastal
   protection; Shoreline armoring; Climate adaptation; Coastal ecology
AB Shoreline armoring, which involves the installation of hardened structures to protect coastal property, dramatically alters shoreline composition and resulting ecological functions. Accelerating hazard threats to growing coastal communities compounds this problem, creating demand for more armoring. We examine whether designation by the U.S. Coastal Barrier Resources Act (CBRA) - enacted to disincentivize urban development on hazardous coastal barriers - is associated with lower propensities to armor shorelines. In designated areas, CBRA removes access to federally-subsidized flood insurance, infrastructure subsidies, and disaster assistance. Using logistic regression modeling, we examine armoring at the parcel scale across the State of Florida (USA), controlling for CBRA designation, land use, and local population density. Our findings reveal a significant negative relationship between CBRA designation and the odds of armoring, particularly for residential and vacant properties. As coastal areas grapple with increasing impacts from coastal hazards, removal of public subsidies may be an effective non-regulatory method for maintaining the ecological and protective benefits of natural shorelines.
C1 [Branham, Jordan; Onda, Kyle; Kaza, Nikhil; BenDor, Todd K.] Univ North Carolina Chapel Hill, Dept City & Reg Planning, New East Bldg,Campus Box 3140, Chapel Hill, NC 27599 USA.
   [Salvesen, David] Univ North Carolina Chapel Hill, Inst Environm, Campus Box 1105, Chapel Hill, NC 27517 USA.
C3 University of North Carolina; University of North Carolina Chapel Hill;
   University of North Carolina School of Medicine; University of North
   Carolina; University of North Carolina Chapel Hill; University of North
   Carolina School of Medicine
RP Branham, J (corresponding author), Univ North Carolina Chapel Hill, Dept City & Reg Planning, New East Bldg,Campus Box 3140, Chapel Hill, NC 27599 USA.
EM jbranham@live.unc.edu
RI BenDor, Todd/E-1375-2016
OI Onda, Kyle/0000-0002-4714-7654
FU U.S. National Science Foundation under Geography and Spatial Sciences
   Grant [1660450]; U.S. National Science Foundation under Coastal SEES
   Grant [1427188]; Direct For Biological Sciences; Division Of
   Environmental Biology [1427188] Funding Source: National Science
   Foundation; Division Of Behavioral and Cognitive Sci; Direct For Social,
   Behav & Economic Scie [1660450] Funding Source: National Science
   Foundation
FX This paper is based upon work supported by the U.S. National Science
   Foundation under Geography and Spatial Sciences Grant No. 1660450 and
   Coastal SEES Grant No.1427188. We would like to thank Terri Fish, Katie
   Niemi, and Dana Wright (USFWS), as well as Laura Moore (UNC) for their
   support and advice with this project.
CR [Anonymous], 2009, COASTAL SENSITIVITY
   Arkema KK, 2013, NAT CLIM CHANGE, V3, P913, DOI 10.1038/NCLIMATE1944
   Armstrong SB, 2016, EARTHS FUTURE, V4, P626, DOI 10.1002/2016EF000425
   Bagstad KJ, 2007, ECOL ECON, V63, P285, DOI 10.1016/j.ecolecon.2006.09.019
   Bedsworth LW, 2010, J AM PLANN ASSOC, V76, P477, DOI 10.1080/01944363.2010.502047
   Bilkovic DM, 2016, COAST MANAGE, V44, P161, DOI 10.1080/08920753.2016.1160201
   Bulleri F, 2010, J APPL ECOL, V47, P26, DOI 10.1111/j.1365-2664.2009.01751.x
   Burby RJ, 2006, ANN AM ACAD POLIT SS, V604, P171, DOI 10.1177/0002716205284676
   Carter JG, 2018, J ENVIRON PLANN MAN, V61, P1535, DOI 10.1080/09640568.2017.1355777
   Cummings J.Bruce., 2006, BRIEF FLORIDA REAL E
   Currin CA., 2010, Puget Sound Shorelines and the Impacts of Armoring: Proceedings of a State of the Science Workshop
   Davis JL, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0142595
   Dugan JE, 2008, MAR ECOL-EVOL PERSP, V29, P160, DOI 10.1111/j.1439-0485.2008.00231.x
   Fawcett T, 2006, PATTERN RECOGN LETT, V27, P861, DOI 10.1016/j.patrec.2005.10.010
   Feagin RA, 2015, FRONT ECOL ENVIRON, V13, P203, DOI 10.1890/140218
   FGDL, 2017, FLOR PARC DAT STAT
   Gallagher J, 2017, AM ECON J-ECON POLIC, V9, P199, DOI 10.1257/pol.20140273
   Gittman RK, 2016, BIOSCIENCE, V66, P763, DOI 10.1093/biosci/biw091
   Gittman RK, 2016, ECOL APPL, V26, P249, DOI 10.1890/14-0716
   Gittman RK, 2015, FRONT ECOL ENVIRON, V13, P301, DOI 10.1890/150065
   Gittman Rachel K., 2014, MARSHES SILLS PROTEC, DOI [10.1016/j.ocecoaman.2014.09.016, DOI 10.1016/J.OCECOAMAN.2014.09.016]
   Halverson J.B., 2018, Weatherwise, V71, P20, DOI DOI 10.1080/00431672.2018.1416862
   JOHNSTON SA, 1981, ENVIRON MANAGE, V5, P427, DOI 10.1007/BF01866820
   Kittinger JN, 2010, COAST MANAGE, V38, P634, DOI 10.1080/08920753.2010.529038
   Klotzbach PJ, 2018, B AM METEOROL SOC, V99, P1359, DOI 10.1175/BAMS-D-17-0184.1
   Kunreuther H, 2006, ANN AM ACAD POLIT SS, V604, P208, DOI 10.1177/0002716205285685
   Li L, 2018, CITIES, V74, P126, DOI 10.1016/j.cities.2017.11.013
   Narayan S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154735
   NOAA, 2018, ENV SENS IND MAPS DA
   NOAA, 2019, COSTL US TROP CYCL A
   NYGOSR, 2020, LEARN MOR LIV BREAKW
   Onda K, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0233888
   Scyphers SB, 2015, CONSERV LETT, V8, P41, DOI 10.1111/conl.12114
   Siders AR, 2020, OCEAN COAST MANAGE, V183, DOI 10.1016/j.ocecoaman.2019.105023
   Smith CS, 2017, MAR POLICY, V81, P350, DOI 10.1016/j.marpol.2017.04.013
   Soz S., 2016, ROLE GREEN INFRASTRU
   Titus JG, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/4/044008
   USACE, 2017, NAT PERM 54 LIV SHOR
   USFWS, 2019, DIG CBRS BOUND
   Woodruff S, 2018, SYST DYNAM REV, V34, P48, DOI 10.1002/sdr.1597
NR 40
TC 2
Z9 4
U1 0
U2 5
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.2020.105245
EA JAN 2021
PG 6
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA QS8MM
UT WOS:000626147600005
OA Green Published
DA 2025-01-10
ER

PT J
AU Houet, T
   Marchadier, C
   Bretagne, G
   Moine, MP
   Aguejdad, R
   Viguié, V
   Bonhomme, M
   Lemonsu, A
   Avner, P
   Hidalgo, J
   Masson, V
AF Houet, T.
   Marchadier, C.
   Bretagne, G.
   Moine, M. P.
   Aguejdad, R.
   Viguie, V.
   Bonhomme, M.
   Lemonsu, A.
   Avner, P.
   Hidalgo, J.
   Masson, V.
TI Combining narratives and modelling approaches to simulate fine scale and
   long-term urban growth scenarios for climate adaptation
SO ENVIRONMENTAL MODELLING & SOFTWARE
LA English
DT Article
DE Urban growth; Future; Urban heat island; Urban governance;
   Interdisciplinary
ID FUZZY COGNITIVE MAPS; SPATIAL MODELS; LAND-USE; UNCERTAINTY; FUTURE;
   VALIDATION
AB Although climate scientists explore the effects of climate change for 2100, it is a challenging time frame for urban modellers to foresee the future of cities. The question addressed in this paper is how to improve the existing methodologies in order to build scenarios to explore urban climate impacts in the long term and at a fine scale. This study provides a structural framework in six steps that combines narratives and model-based approaches. The results present seven scenarios of urban growth based on land use strategies and technological and socio-economic trends. These contrasted scenarios span the largest possible world of futures for the city under study. Urban maps for 2010, 2040 and 2100 were used to assess the impacts on the Urban Heat Island. The comparison of these scenarios and related outputs allowed some levers to be evaluated for their capacity to limit the increase of air temperature. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Houet, T.; Aguejdad, R.] Univ Toulouse, CNRS, Lab Geog Environm GEODE, UMR 5602, Toulouse, France.
   [Marchadier, C.; Moine, M. P.; Lemonsu, A.; Hidalgo, J.; Masson, V.] Meteo France CNRS, CNRM GAME, Toulouse, France.
   [Bretagne, G.] AUAT, Agence Urbanisme & Amenagement Toulouse Aire Urba, Toulouse, France.
   [Moine, M. P.] CERFACS, Toulouse, France.
   [Aguejdad, R.] Univ Strasbourg, CNRS, UMR 7362, LIVE, Strasbourg, France.
   [Viguie, V.; Avner, P.] Ctr Int Rech Environm & Dev, Paris, France.
   [Bonhomme, M.] Ecole Architecture Toulouse, Lab Rech Architecture, Toulouse, France.
   [Hidalgo, J.] Univ Toulouse, CNRS, UMR 5193, LISST, Toulouse, France.
   [Avner, P.] World Bank, 1818 H St NW, Washington, DC 20433 USA.
C3 Centre National de la Recherche Scientifique (CNRS); CNRS - Institute of
   Ecology & Environment (INEE); Universite de Toulouse; Universite de
   Toulouse - Jean Jaures; Centre National de la Recherche Scientifique
   (CNRS); Meteo France; CERFACS; Centre National de la Recherche
   Scientifique (CNRS); CNRS - Institute of Ecology & Environment (INEE);
   Universites de Strasbourg Etablissements Associes; Universite de
   Strasbourg; AgroParisTech; Universite de Toulouse; Ecole Nationale
   Superieur d'Architecture de Toulouse; Centre National de la Recherche
   Scientifique (CNRS); CNRS - Institute for Humanities & Social Sciences
   (INSHS); Universite PSL; Ecole des Hautes Etudes en Sciences Sociales
   (EHESS); Universite de Toulouse; Universite de Toulouse - Jean Jaures;
   The World Bank
RP Houet, T (corresponding author), Univ Toulouse, CNRS, Lab Geog Environm GEODE, UMR 5602, Toulouse, France.
EM thomas.houet@univ-rennes2.fr
RI Bonhomme, Marion/HPC-5866-2023
OI Houet, Thomas/0000-0001-5890-6145; Bonhomme, Marion/0000-0002-5298-7068;
   Avner, Paolo/0000-0002-0153-5205
FU thematic advanced research network on Aeronautics and Space for the
   ACCLIMAT project (RTRA STAE - ACCLIMAT)
FX This work received support from the thematic advanced research network
   on Aeronautics and Space for the ACCLIMAT project (RTRA STAE - ACCLIMAT
   2010-2014). Authors would like to thank the reviewers for their
   constructive comments on earlier draft.
CR AGARWAL C., 2002, REV ASSESSMENT LAND, DOI DOI 10.1289/EHP.6514
   Amati M, 2006, LANDSCAPE URBAN PLAN, V75, P125, DOI 10.1016/j.landurbplan.2004.12.007
   Amer M, 2013, FUTURES, V46, P23, DOI 10.1016/j.futures.2012.10.003
   [Anonymous], 2013, The physical science basis: contribution of working group I to the fifth assessment report of the Intergovernmental Panel on Climate Change, P2216
   [Anonymous], 8 INT C URB CLIM DUB
   [Anonymous], 2008, ENV FUTURES PRACTICE, DOI DOI 10.1016/S1574-101X(08)00414-6
   Bishop P, 2007, FORESIGHT, V9, P5, DOI 10.1108/14636680710727516
   Bonhomme M., 2016, ENV PLAN B IN PRESS
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Brown DG, 2005, INT J GEOGR INF SCI, V19, P153, DOI 10.1080/13658810410001713399
   Clarke KC, 1997, ENVIRON PLANN B, V24, P247, DOI 10.1068/b240247
   Crassous R, 2006, ENERG J, P259
   EEA - European Environment Agency, 2007, 92007 EEA OPOCE
   Etienne M., 2011, A Participatory Approach to Support Sustainable Development
   Giaoutzi M., 2013, COMPLEX NETWORKS DYN, V1, P203
   Godet M, 2000, TECHNOL FORECAST SOC, V65, P1, DOI 10.1016/S0040-1625(99)00119-5
   Godet M, 1996, LONG RANGE PLANN, V29, P164, DOI 10.1016/0024-6301(96)00004-0
   GODET M, 1986, FUTURES, V18, P134, DOI 10.1016/0016-3287(86)90094-7
   Gourmelon F., 2008, CYB REV EUR GEOGR
   Haase D., 2009, LIVING REV LANDSC RE, V3
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   HELMER O, 1981, FUTURES, V13, P389, DOI 10.1016/0016-3287(81)90124-5
   Houet T, 2016, CYBERGEO, DOI 10.4000/cybergeo.27397
   Houet T, 2015, REV INT GEOMAT, V25, P123, DOI 10.3166/RIG.25.123-143
   Houet T, 2015, J MT SCI-ENGL, V12, P1095, DOI 10.1007/s11629-014-3404-7
   Houet T, 2014, INT J GEOGR INF SCI, V28, P1848, DOI 10.1080/13658816.2014.900775
   Houet T, 2010, LANDSCAPE ECOL, V25, P249, DOI 10.1007/s10980-009-9362-8
   Jetter AJ, 2014, FUTURES, V61, P45, DOI 10.1016/j.futures.2014.05.002
   Kok K., 2013, RECENT DEV FORESIGHT, P203
   Kok K, 2007, LAND USE POLICY, V24, P517, DOI 10.1016/j.landusepol.2006.04.007
   Kok K, 2015, CLIMATIC CHANGE, V128, P187, DOI 10.1007/s10584-014-1143-y
   Kok K, 2009, GLOBAL ENVIRON CHANG, V19, P122, DOI 10.1016/j.gloenvcha.2008.08.003
   Lambert-Habib ML, 2013, URBAN CLIM, V4, P16, DOI 10.1016/j.uclim.2013.04.004
   Lambin E.F., 2006, Land-Use and Land-Cover Change, DOI [10.1007/3-540-32202-7, DOI 10.1007/3-540-32202-7]
   Maier HR, 2016, ENVIRON MODELL SOFTW, V81, P154, DOI 10.1016/j.envsoft.2016.03.014
   Mas JF, 2014, ENVIRON MODELL SOFTW, V51, P94, DOI 10.1016/j.envsoft.2013.09.010
   Masson V, 2014, URBAN CLIM, V10, P407, DOI 10.1016/j.uclim.2014.03.004
   Masson V, 2000, BOUND-LAY METEOROL, V94, P357, DOI 10.1023/A:1002463829265
   Matzarakis A, 1999, INT J BIOMETEOROL, V43, P76, DOI 10.1007/s004840050119
   MAYER H, 1987, THEOR APPL CLIMATOL, V38, P43, DOI 10.1007/BF00866252
   METZ B, 2007, MITIGATION, P852
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Pachauri R. K., 2007, CLIMATE CHANGE 2007, P104, DOI DOI 10.1017/CBO9780511546013
   Paegelow M, 2014, CYBERGEO, DOI 10.4000/cybergeo.26610
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Rouan M, 2010, ENVIRON MODELL SOFTW, V25, P1399, DOI 10.1016/j.envsoft.2009.10.010
   Sassi Olivier, 2010, International Journal of Global Environmental Issues, V10, P5, DOI 10.1504/IJGENVI.2010.030566
   Schweizer VJ, 2014, CLIMATIC CHANGE, V122, P431, DOI 10.1007/s10584-013-0908-z
   Shackley S, 2003, CLIM RES, V24, P71, DOI 10.3354/cr024071
   Strengers B., 2004, GeoJournal, V61, P381, DOI 10.1007/s10708-004-5054-8
   Tornay N., 2015, 9 INT C URB CLIM TOU
   Trutnevyte E, 2016, CLIMATIC CHANGE, V135, P373, DOI 10.1007/s10584-015-1585-x
   van Vliet J, 2016, ENVIRON MODELL SOFTW, V82, P174, DOI 10.1016/j.envsoft.2016.04.017
   van Vliet M, 2010, FUTURES, V42, P1, DOI 10.1016/j.futures.2009.08.005
   Veldkamp A, 2001, AGR ECOSYST ENVIRON, V85, P1, DOI 10.1016/S0167-8809(01)00199-2
   Verburg P. H., 2004, GeoJournal, V61, P309, DOI 10.1007/s10708-004-4946-y
   Viguié V, 2014, TECHNOL FORECAST SOC, V87, P305, DOI 10.1016/j.techfore.2013.12.028
   Vyn RJ, 2012, LAND ECON, V88, P457, DOI 10.3368/le.88.3.457
   Waisman H, 2012, CLIMATIC CHANGE, V114, P101, DOI 10.1007/s10584-011-0387-z
   Weimer-Jehle W, 2006, TECHNOL FORECAST SOC, V73, P334, DOI 10.1016/j.techfore.2005.06.005
   Wiek A., 2013, International Journal of Foresight and Innovation Policy, V9, P133, DOI [10.1504/IJFIP.2013.058611, DOI 10.1504/IJFIP.2013.058611]
   Zwicky, 1969, DISCOVERY INVENTION
NR 62
TC 41
Z9 44
U1 2
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 2016
VL 86
BP 1
EP 13
DI 10.1016/j.envsoft.2016.09.010
PG 13
WC Computer Science, Interdisciplinary Applications; Engineering,
   Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Computer Science; Engineering; Environmental Sciences & Ecology; Water
   Resources
GA ED3WQ
UT WOS:000388779600001
DA 2025-01-10
ER

PT J
AU Harrison, PA
   Dunford, RW
   Holman, IP
   Rounsevell, MDA
AF Harrison, Paula A.
   Dunford, Robert W.
   Holman, Ian P.
   Rounsevell, Mark D. A.
TI Climate change impact modelling needs to include cross-sectoral
   interactions
SO NATURE CLIMATE CHANGE
LA English
DT Article
ID AGRICULTURAL LAND-USE; SOCIOECONOMIC CHANGE; CHANGE SCENARIOS;
   ADAPTATION; VULNERABILITY; EUROPE; POLICY
AB Climate change impact assessments often apply models of individual sectors such as agriculture, forestry and water use without considering interactions between these sectors. This is likely to lead to misrepresentation of impacts, and consequently to poor decisions about climate adaptation. However, no published research assesses the differences between impacts simulated by single-sector and integrated models. Here we compare 14 indicators derived from a set of impact models run within single-sector and integrated frameworks across a range of climate and socio-economic scenarios in Europe. We show that single-sector studies misrepresent the spatial pattern, direction and magnitude of most impacts because they omit the complex interdependencies within human and environmental systems. The discrepancies are particularly pronounced for indicators such as food production and water exploitation, which are highly influenced by other sectors through changes in demand, land suitability and resource competition. Furthermore, the discrepancies are greater under different socio-economic scenarios than different climate scenarios, and at the sub-regional rather than Europe-wide scale.
C1 [Harrison, Paula A.; Dunford, Robert W.] Lancaster Environm Ctr, Ctr Ecol & Hydrol, Lib Ave, Lancaster LA1 4AP, England.
   [Harrison, Paula A.; Dunford, Robert W.] Univ Oxford, Environm Change Inst, South Parks Rd, Oxford OX1 3QY, England.
   [Holman, Ian P.] Cranfield Univ, Cranfield Water Sci Inst, Cranfield MK43 0AL, Beds, England.
   [Rounsevell, Mark D. A.] Univ Edinburgh, Sch GeoSci, Drummond St, Edinburgh EH8 9XP, Midlothian, Scotland.
C3 Lancaster University; UK Centre for Ecology & Hydrology (UKCEH);
   University of Oxford; Cranfield University; University of Edinburgh
RP Harrison, PA (corresponding author), Lancaster Environm Ctr, Ctr Ecol & Hydrol, Lib Ave, Lancaster LA1 4AP, England.; Harrison, PA (corresponding author), Univ Oxford, Environm Change Inst, South Parks Rd, Oxford OX1 3QY, England.
EM PaulaHarrison@ceh.ac.uk
RI Rounsevell, Mark/AAC-4498-2021; Harrison, Paula/K-1519-2016; Holman,
   Ian/A-7108-2010
OI Dunford, Robert/0000-0002-6559-1687; Rounsevell,
   Mark/0000-0001-7476-9398; Harrison, Paula/0000-0002-9873-3338; Holman,
   Ian/0000-0002-5263-7746
FU European Commission [244031, 603416]
FX The research leading to these results has received funding from the
   European Commission Seventh Framework Programme under Grant Agreement
   no. 244031 (The CLIMSAVE Project; www.climsave.eu) and no. 603416 (The
   IMPRESSIONS project; Impacts and risks from higher-end scenarios:
   strategies for innovative solutions). The authors wish to thank all the
   modellers that contributed towards the development of the IAP in these
   projects.
CR Abildtrup J, 2006, ENVIRON SCI POLICY, V9, P101, DOI 10.1016/j.envsci.2005.11.002
   Arnell NW, 2013, NAT CLIM CHANGE, V3, P512, DOI [10.1038/nclimate1793, 10.1038/NCLIMATE1793]
   Audsley E, 2008, CLIMATIC CHANGE, V90, P57, DOI 10.1007/s10584-008-9450-9
   Audsley E, 2015, CLIMATIC CHANGE, V128, P215, DOI 10.1007/s10584-014-1164-6
   Brown C, 2015, CLIMATIC CHANGE, V128, P293, DOI 10.1007/s10584-014-1133-0
   Busch G, 2006, AGR ECOSYST ENVIRON, V114, P121, DOI 10.1016/j.agee.2005.11.007
   Dubrovsky M, 2015, CLIMATIC CHANGE, V128, P169, DOI 10.1007/s10584-014-1297-7
   Dunford R, 2015, CLIMATIC CHANGE, V132, P417, DOI 10.1007/s10584-014-1211-3
   Dunford R, 2015, CLIMATIC CHANGE, V128, P339, DOI 10.1007/s10584-014-1162-8
   Dunford RW, 2015, LANDSCAPE ECOL, V30, P443, DOI 10.1007/s10980-014-0148-2
   Field C. B., 2014, CLIMATE CHANGE 2014, P1132
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Harrison PA, 2015, CLIMATIC CHANGE, V128, P279, DOI 10.1007/s10584-014-1239-4
   Harrison PA, 2013, REG ENVIRON CHANGE, V13, P761, DOI 10.1007/s10113-012-0361-y
   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]
   Holman I., 2011, Report describing the integrated assessment platform (iap) specification, metamodel specifications and the multiscale approach. climsave deliverable 2.1 .
   Holman IP, 2016, REG ENVIRON CHANGE, V16, P97, DOI 10.1007/s10113-014-0679-8
   Holman IP, 2005, CLIMATIC CHANGE, V71, P43, DOI 10.1007/s10584-005-5956-6
   Huber V, 2014, EARTH SYST DYNAM, V5, P399, DOI 10.5194/esd-5-399-2014
   Jager J, 2015, CLIMATIC CHANGE, V128, P395, DOI 10.1007/s10584-014-1240-y
   Kebede AS, 2015, CLIMATIC CHANGE, V128, P261, DOI 10.1007/s10584-014-1313-y
   Kovats S., 2014, CLIMATE CHANGE 2014
   LIN LI, 1989, BIOMETRICS, V45, P255, DOI 10.2307/2532051
   Mokrech M, 2015, CLIMATIC CHANGE, V128, P245, DOI 10.1007/s10584-014-1298-6
   Rosenzweig C, 2013, AGR FOREST METEOROL, V170, P166, DOI 10.1016/j.agrformet.2012.09.011
   Rounsevell MDA, 2006, AGR ECOSYST ENVIRON, V114, P57, DOI 10.1016/j.agee.2005.11.027
   Warren R, 2011, PHILOS T R SOC A, V369, P217, DOI 10.1098/rsta.2010.0271
   Wimmer F, 2015, CLIMATIC CHANGE, V128, P229, DOI 10.1007/s10584-014-1161-9
NR 28
TC 110
Z9 115
U1 5
U2 59
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 1758-678X
EI 1758-6798
J9 NAT CLIM CHANGE
JI Nat. Clim. Chang.
PD SEP
PY 2016
VL 6
IS 9
BP 885
EP +
DI 10.1038/NCLIMATE3039
PG 8
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 DU3UB
UT WOS:000382136600022
DA 2025-01-10
ER

PT J
AU Ramniwas, S
   Kajla, B
AF Ramniwas, S.
   Kajla, B.
TI Dehydration tolerance: a mode of adaptation in two related
   <i>Drosophila</i> species of the repleta subgroup from western Himalayas
SO ETHOLOGY ECOLOGY & EVOLUTION
LA English
DT Article
DE Drosophila repleta.; desiccation resistance; dehydration tolerance;
   Drosophila hydei
ID DESICCATION RESISTANCE; WATER-BALANCE; MELANOGASTER; MECHANISMS; STRESS;
   BEETLE; CONSERVATION; POPULATIONS; EVOLUTION; SELECTION
AB Drosophila hydei is more abundant under colder and drier montane habitats in the western Himalayas as compared to Drosophila repleta, but the mechanistic basis of such climatic adaptation is largely unknown. In this study of two closely related Drosophila species, D. hydei and D. repleta, we examined the role of dehydration tolerance on survival under desiccating conditions. Water loss before succumbing to death (dehydration tolerance) is much higher in D. hydei (~ 74%) than D. repleta (~ 48%). Total surface lipids and percent melanisation did not differ significantly in these two species. Thus, species-specific water loss tolerance capacities are significantly correlated with varying levels of desiccation resistance. Patterns of rate of water loss do not account for contrasting levels of desiccation resistance in these two species. These differences in dehydration tolerance impact desiccation resistance and might explain their distribution pattern - why D. hydei is more abundant than D. repleta in dry habitats or during dry periods.
C1 [Ramniwas, S.; Kajla, B.] Maharshi Dayanand Univ, Dept Genet, Drosophila Ecol Genet Lab, Lab G10, Rohtak 124001, Haryana, India.
C3 Maharshi Dayanand University
RP Ramniwas, S (corresponding author), Maharshi Dayanand Univ, Dept Genet, Drosophila Ecol Genet Lab, Lab G10, Rohtak 124001, Haryana, India.
EM seema.ramniwas@gmail.com
OI Ramniwas, Seema/0000-0002-4899-4687
FU Department of Science and Technology, New Delhi through the
   DST-INSA/INSPIRE [IFA-11LSBM-08]
FX We are indebted to the reviewers for several helpful comments that
   improved the manuscript. S. Ramniwas (INSA/INSPIRE Faculty Fellow) and
   B. Kajla (Senior Research Fellow) are grateful to the Department of
   Science and Technology, New Delhi, for supporting their research work
   through the DST-INSA/INSPIRE faculty fellow project (IFA-11LSBM-08).
CR Albers MA, 2004, J EXP BIOL, V207, P2313, DOI 10.1242/jeb.01024
   Benoit JB, 2005, J INSECT PHYSIOL, V51, P565, DOI 10.1016/j.jinsphys.2005.03.001
   Benoit JB, 2007, J INSECT PHYSIOL, V53, P656, DOI 10.1016/j.jinsphys.2007.04.006
   Benoit JB, 2007, AM J TROP MED HYG, V76, P987, DOI 10.4269/ajtmh.2007.76.987
   Benoit JB, 2010, J INSECT PHYSIOL, V56, P151, DOI 10.1016/j.jinsphys.2009.09.012
   BLOWS MW, 1993, EVOLUTION, V47, P1255, DOI [10.2307/2409990, 10.1111/j.1558-5646.1993.tb02151.x]
   Clegg JS, 2001, COMP BIOCHEM PHYS B, V128, P613, DOI 10.1016/S1096-4959(01)00300-1
   COHEN AC, 1986, COMP BIOCHEM PHYS A, V85, P743, DOI 10.1016/0300-9629(86)90288-4
   ECKSTRAND IA, 1980, ENVIRON ENTOMOL, V9, P716, DOI 10.1093/ee/9.5.716
   Edney E. B., 1977, Water Balance in Land Arthropods, DOI DOI 10.1007/978-3-642-81105-0
   Folk DG, 2003, J EXP BIOL, V206, P2779, DOI 10.1242/jeb.00498
   Folk DG, 2001, J EXP BIOL, V204, P3323
   Gibbs AG, 2003, J EXP BIOL, V206, P1183, DOI 10.1242/jeb.00233
   Gibbs AG, 1997, J EXP BIOL, V200, P1821
   Gibbs AG, 2001, J EXP BIOL, V204, P2331
   GRAVES JL, 1992, PHYSIOL ZOOL, V65, P268, DOI 10.1086/physzool.65.2.30158253
   Hadley N. F., 1994, WATER RELATIONS TERR
   HADLEY NF, 1977, INSECT BIOCHEM, V7, P277, DOI 10.1016/0020-1790(77)90025-7
   HADLEY NF, 1987, J INSECT PHYSIOL, V33, P677, DOI 10.1016/0022-1910(87)90050-3
   HOFFMANN AA, 1989, BIOL J LINN SOC, V37, P117, DOI 10.1111/j.1095-8312.1989.tb02098.x
   HOFFMANN AA, 1989, GENETICS, V122, P837
   Kostal L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0021998
   Kostál V, 2012, P NATL ACAD SCI USA, V109, P3270, DOI 10.1073/pnas.1119986109
   Kostál V, 2011, P NATL ACAD SCI USA, V108, P13041, DOI 10.1073/pnas.1107060108
   LOVERIDGE JP, 1975, B ENTOMOL RES, V65, P13, DOI 10.1017/S0007485300005708
   Matzkin LM, 2007, FLY, V1, P268, DOI 10.4161/fly.5293
   Parkash R, 2008, FLY, V2, P111, DOI 10.4161/fly.6351
   Parkash R, 2008, J INSECT PHYSIOL, V54, P1050, DOI 10.1016/j.jinsphys.2008.04.008
   Rourke BC, 2000, J EXP BIOL, V203, P2699
   Teets NM, 2013, J COMP PHYSIOL B, V183, P189, DOI 10.1007/s00360-012-0707-2
   Telonis-Scott M, 2006, J EXP BIOL, V209, P1837, DOI 10.1242/jeb.02201
   TOOLSON EC, 1982, J EXP ZOOL, V222, P249, DOI 10.1002/jez.1402220307
   Verbruggen N, 2008, AMINO ACIDS, V35, P753, DOI 10.1007/s00726-008-0061-6
   Wharton G.W., 1985, P565
   Willmer P., 2009, Environmental Physiology of Animals
   Yoder JA, 2009, J COMP PHYSIOL B, V179, P729, DOI 10.1007/s00360-009-0353-5
   Zachariassen KE, 1996, EUR J ENTOMOL, V93, P359
NR 37
TC 1
Z9 1
U1 0
U2 26
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0394-9370
EI 1828-7131
J9 ETHOL ECOL EVOL
JI Ethol. Ecol. Evol.
PD JAN 2
PY 2015
VL 27
IS 1
BP 17
EP 28
DI 10.1080/03949370.2013.856352
PG 12
WC Behavioral Sciences; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Behavioral Sciences; Zoology
GA AU8FJ
UT WOS:000345831600003
DA 2025-01-10
ER

PT C
AU Umar, UA
   Khamidi, MF
   Alkali, AU
AF Umar, Usman Aminu
   Khamidi, Mohd Faris
   Alkali, Adamu Umar
GP IEEE
TI The Repercussions Linked with a Changing Macroclimate for Green Building
SO 2012 IEEE COLLOQUIUM ON HUMANITIES, SCIENCE & ENGINEERING RESEARCH
   (CHUSER 2012)
LA English
DT Proceedings Paper
CT IEEE Colloquium on Humanities, Science and Engineering Research (CHUSER)
CY DEC 03-04, 2012
CL Kota Kinabalu, MALAYSIA
SP IEEE, IEEE Malaysia, IEEE Malaysia Power Elect (PEL), Ind Elect (IE), Ind Applicat (IA) Joint Chapter, IEEE Malaysia Power & Energy Chapter
DE Climate change; Impact on buildings and occupants; Performance
   prediction; Green building
ID CLIMATE-CHANGE IMPACTS; FUTURE CLIMATE; ENERGY DEMAND; OFFICE BUILDINGS;
   WEATHER FILES; UK; PERFORMANCE; DWELLINGS; SWITZERLAND; CONSUMPTION
AB there is substantial proof that the world is warming. The International Panel of Climate Change reported that there might be a continuous rise in the ambient temperature throughout the end of the 21st century. With a rising international worry about global warming, the construction sector is confronting the question of how forecasted changes in climate will affect the overall performance of buildings all over the world. This is resulting in a fast-growing field of study that concentrates on the adaptation and strength of buildings to a varying climate. Global warming can tremendously result on the overall energy consumption and greenhouse gas emissions of residential buildings. Hence, climate adaptation must be effectively regarded both in design and operation phases to eliminate impact. This paper examines (or reviews) the connection between climate change and buildings and the growing body of knowledge on the issue, and also classifying and reviewing the contributions of other researcher.
C1 [Umar, Usman Aminu; Khamidi, Mohd Faris] Univ Teknol Petronas, Dept Civil Engn, Tronoh, Perak, Malaysia.
   [Alkali, Adamu Umar] Univ Teknol Petronas, Machan Engn Dept, Tronoh, Perak, Malaysia.
C3 Universiti Teknologi Petronas; Universiti Teknologi Petronas
RP Umar, UA (corresponding author), Univ Teknol Petronas, Dept Civil Engn, Tronoh, Perak, Malaysia.
EM Usman_g01897@utp.edu.my; mfaris_khamidi@petronas.com.my;
   Adamu_g01876@utp.edu.my
RI Khamidi, Mohd/AAE-1023-2020
CR Aerts JCJH, 2011, GLOBAL ENVIRON CHANG, V21, P1045, DOI 10.1016/j.gloenvcha.2011.04.005
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], 2008, J BUILDING PERFORMAN, DOI DOI 10.1080/19401490802182079
   Belcher S. E., 2005, Building Services Engineering Research & Technology, V26, P49, DOI 10.1191/0143624405bt112oa
   Chan ALS, 2011, ENERG BUILDINGS, V43, P2860, DOI 10.1016/j.enbuild.2011.07.003
   Chow DHC, 2010, BUILD SERV ENG RES T, V31, P307, DOI 10.1177/0143624410371284
   Christenson M, 2006, ENERG CONVERS MANAGE, V47, P671, DOI 10.1016/j.enconman.2005.06.009
   Coley D, 2012, BUILD ENVIRON, P55
   Damtoft JS, 2008, CEMENT CONCRETE RES, V38, P115, DOI 10.1016/j.cemconres.2007.09.008
   De Dear R., 2006, Building Research Information, P78, DOI DOI 10.1080/09613210500336594
   de Wilde P, 2012, BUILD ENVIRON, P55
   de Wilde P, 2011, BUILD ENVIRON, V46, P1670, DOI 10.1016/j.buildenv.2011.02.006
   de Wilde P, 2010, ENERG BUILDINGS, V42, P1674, DOI 10.1016/j.enbuild.2010.04.011
   Dimoudi A, 2008, RESOUR CONSERV RECY, V53, P86, DOI 10.1016/j.resconrec.2008.09.008
   Du H, 2012, BUILD SERV ENG RES T, V33, P63, DOI 10.1177/0143624411431775
   Eames M, 2011, J BUILD PERFORM SIMU, P1
   Frank T, 2005, ENERG BUILDINGS, V37, P1175, DOI 10.1016/j.enbuild.2005.06.019
   Gaterell MR, 2005, ENERG BUILDINGS, V37, P982, DOI 10.1016/j.enbuild.2004.12.015
   Guan L, 2009, BUILD ENVIRON, V44, P793, DOI 10.1016/j.buildenv.2008.05.021
   Gustavsson L, 2010, ENERG BUILDINGS, V42, P230, DOI 10.1016/j.enbuild.2009.08.018
   Hacker J., 2005, CLIMATE CHANGE INDOO
   Hacker JN, 2008, ENERG BUILDINGS, V40, P375, DOI 10.1016/j.enbuild.2007.03.005
   Jenkins DP, 2011, ENERG BUILDINGS, V43, P1723, DOI 10.1016/j.enbuild.2011.03.016
   Jenkins DP, 2009, BUILD ENVIRON, V44, P490, DOI 10.1016/j.buildenv.2008.04.012
   Jentsch MF, 2008, ENERG BUILDINGS, V40, P2148, DOI 10.1016/j.enbuild.2008.06.005
   Kershaw T, 2011, BUILD ENVIRON, V46, P1303, DOI 10.1016/j.buildenv.2010.12.018
   Knudstrup MA, 2009, RENEW ENERG, V34, P2007, DOI 10.1016/j.renene.2009.02.002
   Liso KR, 2006, BUILD RES INF, V34, P1, DOI 10.1080/09613210500356022
   Lomas KJ, 2009, ENERG BUILDINGS, V41, P629, DOI 10.1016/j.enbuild.2009.01.001
   McGilligan C, 2011, ENERG BUILDINGS, V43, P2767, DOI 10.1016/j.enbuild.2011.06.037
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   Morton TA, 2011, BUILD ENVIRON, V46, P1151, DOI 10.1016/j.buildenv.2010.12.007
   Nethad H., WORLD ENERGY SCENARI
   Nicol JF, 2002, ENERG BUILDINGS, V34, P563, DOI 10.1016/S0378-7788(02)00006-3
   Nik VM, 2012, BUILD ENVIRON, V53, P107, DOI 10.1016/j.buildenv.2012.01.015
   Ouedraogo BI, 2012, BUILD ENVIRON, V49, P270, DOI 10.1016/j.buildenv.2011.10.003
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   PETTERSEN TD, 1994, ENERG BUILDINGS, V21, P209, DOI 10.1016/0378-7788(94)90036-1
   Porritt S, 2010, ENERGY BUILD, V55, P16, DOI DOI 10.1016/J.ENBUILD.2012.01.043
   Pyke C, 2012, BUILD ENVIRON, P55
   Radhi H, 2009, BUILD ENVIRON, V44, P2451, DOI 10.1016/j.buildenv.2009.04.006
   Robert A, 2012, BUILD ENVIRON, P55
   Smith ST, 2011, ENERG BUILDINGS, V43, P507, DOI 10.1016/j.enbuild.2010.10.016
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Taylor S, 2010, BUILD ENVIRON, V45, P1389, DOI 10.1016/j.buildenv.2009.12.001
   Tham Y, 2011, BUILD SERV ENG RES T, V32, P207, DOI 10.1177/0143624410389396
   Tian W, 2011, J BUILD PERFORM SIMU, V4, P105, DOI 10.1080/19401493.2010.502246
   Wan KKW, 2011, BUILD ENVIRON, V46, P223, DOI 10.1016/j.buildenv.2010.07.016
   Wang XM, 2010, BUILD ENVIRON, V45, P1663, DOI 10.1016/j.buildenv.2010.01.022
NR 49
TC 0
Z9 0
U1 0
U2 3
PU IEEE
PI NEW YORK
PA 345 E 47TH ST, NEW YORK, NY 10017 USA
BN 978-1-4673-4617-7; 978-1-4673-4615-3
PY 2012
PG 6
WC Computer Science, Interdisciplinary Applications; Engineering,
   Electrical & Electronic
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Engineering
GA BFC85
UT WOS:000319211300075
DA 2025-01-10
ER

PT J
AU Jetz, W
   Ashton, KG
   La Sorte, FA
AF Jetz, Walter
   Ashton, Kyle G.
   La Sorte, Frank A.
TI Phenotypic population divergence in terrestrial vertebrates at macro
   scales
SO ECOLOGY LETTERS
LA English
DT Article
DE Amphibians; birds; body size; environment; gene flow; intraspecific
   variation; mammals; population variability; range size; reptiles;
   vertebrates
ID BODY-SIZE; GENE FLOW; GEOGRAPHIC DISTANCE; CLIMATIC ADAPTATION;
   BERGMANNS RULE; BIRDS; EVOLUTION; PATTERNS; ECOLOGY; SUPPORT
AB Phenotypic divergence between populations, i.e. how much phenotypes within a species vary geographically, is critical to many aspects of ecology and evolution, including ecogeographical trends, speciation and coexistence. Yet, the variation of divergence across species with different ecologies and distributions and the relative role of adaptive causes remains little understood. We predict that genetic control vs. phenotypic plasticity of traits, geographical distance and (assuming adaptation) environmental differences should explain much of the phenotypic variability between populations. We tested these predictions with body sizes of 1447 populations in 98 terrestrial vertebrate species. Population phenotypic variability differs strongly across species, and divergence increases with increasing levels of clade-typical phenotypic plasticity, the area covered by populations and body size. Geographical distance and environmental dissimilarity are similarly important predictors of divergence within species, highlighting a potential role for biotic and environmental conditions. Increased availability of phylogeographical and ecological data should facilitate further understanding of population divergence drivers at broad scales.
C1 [Jetz, Walter; La Sorte, Frank A.] Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT 06520 USA.
   [Jetz, Walter; Ashton, Kyle G.; La Sorte, Frank A.] Univ Calif San Diego, Div Biol Sci, La Jolla, CA 92093 USA.
C3 Yale University; University of California System; University of
   California San Diego
RP Jetz, W (corresponding author), Yale Univ, Dept Ecol & Evolutionary Biol, 165 Prospect St, New Haven, CT 06520 USA.
EM walter.jetz@yale.edu
RI Burke, Russell/HMD-9003-2023; La Sorte, Frank/A-2849-2009; Jetz,
   Walter/ABF-1517-2020
OI Jetz, Walter/0000-0002-1971-7277
FU NSF [BCS - 0648733]
FX We thank John Endler, Shai Meiri, Andy Purvis, Lauren Buckley, Rob
   Freckleton and the Jetz Lab group for comments. The study was supported
   by NSF award BCS - 0648733 to W. J.
CR Alexander RM, 1998, J AVIAN BIOL, V29, P387, DOI 10.2307/3677157
   [Anonymous], 1984, Size, function and life history
   [Anonymous], 1965, The American Naturalist
   Ashton KG, 2003, EVOLUTION, V57, P1151, DOI 10.1111/j.0014-3820.2003.tb00324.x
   Ashton KG, 2002, GLOBAL ECOL BIOGEOGR, V11, P505, DOI 10.1046/j.1466-822X.2002.00313.x
   Bergmann KGLC., 1847, Gttinger Studien, V3, P595
   BERVEN KA, 1982, OECOLOGIA, V52, P360, DOI 10.1007/BF00367960
   Bolnick DI, 2007, P NATL ACAD SCI USA, V104, P10075, DOI 10.1073/pnas.0703743104
   BROWN JH, 1989, SCIENCE, V243, P1145, DOI 10.1126/science.243.4895.1145
   BROWN WL, 1956, SYST ZOOL, V5, P49, DOI 10.2307/2411924
   Buckley LB, 2008, P NATL ACAD SCI USA, V105, P17836, DOI 10.1073/pnas.0803524105
   Burnham K. P., 2002, Model selection and inference: a practical informationtheoretic approach, VSecond edition
   DAMUTH J, 1981, NATURE, V290, P699, DOI 10.1038/290699a0
   Davies TJ, 2007, ECOL LETT, V10, P146, DOI 10.1111/j.1461-0248.2006.01005.x
   EHRLICH PR, 1993, AMBIO, V22, P64
   ELLISON GTH, 1993, GLOBAL ECOL BIOGEOGR, V3, P41, DOI 10.2307/2997458
   Endler J.A., 1977, Monographs in Population Biology, pi
   ENDLER JA, 1973, SCIENCE, V179, P243, DOI 10.1126/science.179.4070.243
   FELSENSTEIN J, 1976, ANNU REV GENET, V10, P253, DOI 10.1146/annurev.ge.10.120176.001345
   Freckleton RP, 2003, AM NAT, V161, P821, DOI 10.1086/374346
   Freckleton RP, 2002, AM NAT, V160, P712, DOI 10.1086/343873
   Gould S.J., 1972, Annual Rev Ecol Syst, V3, P457, DOI 10.1146/annurev.es.03.110172.002325
   GRANT P R, 1972, Biological Journal of the Linnean Society, V4, P39, DOI 10.1111/j.1095-8312.1972.tb00690.x
   HALDANE JBS, 1948, J GENET, V48, P277, DOI 10.1007/BF02986626
   Hallgrímsson B, 2000, BIOL J LINN SOC, V70, P571, DOI 10.1111/j.1095-8312.2000.tb00218.x
   HOLM S, 1979, SCAND J STAT, V6, P65
   HUTCHINSON GE, 1959, AM NAT, V93, P145, DOI 10.1086/282070
   Hutchison DW, 1999, EVOLUTION, V53, P1898, DOI 10.1111/j.1558-5646.1999.tb04571.x
   JAMES FC, 1970, ECOLOGY, V51, P365, DOI 10.2307/1935374
   Jenkins DG, 2007, GLOBAL ECOL BIOGEOGR, V16, P415, DOI 10.1111/j.1466-8238.2007.00312.x
   Jetz W, 2004, SCIENCE, V306, P266, DOI 10.1126/science.1102138
   Jetz W, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003261
   LANDE R, 1980, AM NAT, V116, P463, DOI 10.1086/283642
   Legendre L., 1998, Numerical ecology, V2nd ed.
   Lewontin R.C., 1966, SYST BIOL, V15, P141, DOI [10.2307/2411632, DOI 10.2307/SYSBIO/15.2.141, 10.2307/sysbio/15.2.141]
   Manel S, 2005, TRENDS ECOL EVOL, V20, P136, DOI 10.1016/S0169-5347(03)00008-9
   Mayr E., 1963, Animal Species and Evolution
   MCNAB BK, 1971, ECOLOGY, V52, P845, DOI 10.2307/1936032
   Meiri S, 2003, J BIOGEOGR, V30, P331, DOI 10.1046/j.1365-2699.2003.00837.x
   Meiri S, 2007, GLOBAL ECOL BIOGEOGR, V16, P788, DOI 10.1111/j.1466-8238.2007.00330.x
   New M, 2002, CLIMATE RES, V21, P1, DOI 10.3354/cr021001
   Ramachandran S, 2005, P NATL ACAD SCI USA, V102, P15942, DOI 10.1073/pnas.0507611102
   RUTLEDGE JJ, 1973, GENETICS, V75, P709
   SCHOLANDER PF, 1955, EVOLUTION, V9, P15, DOI 10.2307/2405354
   SEBENS KP, 1987, ANNU REV ECOL SYST, V18, P371, DOI 10.1146/annurev.es.18.110187.002103
   SINERVO B, 1994, ECOLOGY, V75, P776, DOI 10.2307/1941734
   SLATKIN M, 1985, ANNU REV ECOL SYST, V16, P393, DOI 10.1146/annurev.ecolsys.16.1.393
   SOKAL RR, 1983, NUMERICAL TAXONOMY, P383
   SOULE M, 1970, American Naturalist, V104, P85, DOI 10.1086/282642
   Storz JF, 2002, MOL ECOL, V11, P2537, DOI 10.1046/j.1365-294X.2002.01636.x
   Sutherland GD, 2000, CONSERV ECOL, V4, DOI 10.5751/es-00184-040116
   Wikelski M, 2000, NATURE, V403, P37, DOI 10.1038/47396
   Wilcox R. R., 2005, Introduction to Robust Estimation and Hypothesis Testing
   Yablokov AV., 1966, VARIABILITY MAMMALS
NR 54
TC 16
Z9 20
U1 0
U2 30
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1461-023X
EI 1461-0248
J9 ECOL LETT
JI Ecol. Lett.
PD NOV
PY 2009
VL 12
IS 11
BP 1137
EP 1146
DI 10.1111/j.1461-0248.2009.01369.x
PG 10
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 507CK
UT WOS:000270828100003
PM 19708969
DA 2025-01-10
ER

PT J
AU Bogacheva, IA
   Khruleva, OA
AF Bogacheva, IA
   Khruleva, OA
TI The chrysomelid beetle <i>Chrysomela collaris</i>:: Adaptation to
   existence in mountains and the Arctic
SO ZOOLOGICHESKY ZHURNAL
LA Russian
DT Article
ID EPIRRITA-AUTUMNATA; TEMPERATURE; EVOLUTION; BEHAVIOR; GROWTH;
   CATERPILLARS; LEPIDOPTERA; COLEOPTERA; INSECTS
AB The leaf beetle Chrysomela collaris L. was studied in the central areas (southern taiga, Kostroma oblast) and at the southern boundary (forest tundra, the Polar Urals) of its range. The data on the habitat of the beetle in mountain tundra (Norway) were also used. The growth and developmental rates in the species were shown to be high and almost identical in all the regions investigated. In all the sites studied the leaf beetle was univoltine and preferred open biotopes. These features are preadaptive and promote the penetration if this beetle to the Subarctic. When moving towards the Subarctic, the settlement of plants by the beetles is reduced, their development is shifted to the beginning of the growing season, and size becomes smaller. These trends might be considered as adaptations of the beetle to the existence in the regions with severe climatic conditions. Some other peculiarities, like a decrease of the number of eggs in clutch could hardly be interpreted as climatic adaptations.
C1 Russian Acad Sci, Ural Div, Inst Plant & Anim Ecol, Ekaterinburg, Russia.
   Russian Acad Sci, Severtsov Inst Ecol & Evolut, Moscow 119071, Russia.
C3 Russian Academy of Sciences; Institute of Plant & Animal Ecology of the
   Russian Academy of Sciences; Russian Academy of Sciences; Saratov
   Scientific Center of the Russian Academy of Sciences; Severtsov
   Institute of Ecology & Evolution
RP Bogacheva, IA (corresponding author), Russian Acad Sci, Ural Div, Inst Plant & Anim Ecol, Ekaterinburg, Russia.
CR [Anonymous], 1995, PRIRODA YAMALA
   [Anonymous], 1974, AGROKLIMATICHESKIE R
   AYRES MP, 1987, ECOLOGY, V68, P558, DOI 10.2307/1938461
   AYRES MP, 1990, DEV ECOL PERSPECT, P305
   Bertram GCL, 1935, J ANIM ECOL, V4, P35, DOI 10.2307/1210
   Bogacheva I. A., 1998, Uspekhi Sovremennoi Biologii, V118, P483
   Bogacheva I. A., 1998, Entomologicheskoe Obozrenie, V77, P775
   Bogacheva I.A., 1993, Russian Entomological Journal, V2, P105
   BOGACHEVA IA, 1995, ZOOL ZH, V74, P83
   BOGACHEVA IA, 1975, EKOLOGIYA, P94
   CHERNOV YI, 1993, ZOOL ZH, V72, P78
   Chernov Yu.I., 1984, P154
   COURTNEY SP, 1984, AM NAT, V123, P276, DOI 10.1086/284202
   Danilevskij A.S., 1972, P15
   DAVIES CR, 1985, OECOLOGIA, V67, P278, DOI 10.1007/BF00384299
   DENISOVA SI, 1990, ZH OBSHCH BIOL, V51, P2508
   Dubeshko L.N., 1989, EKOLOGIYA LISTOEDOV
   HAGVAR S, 1975, Norwegian Journal of Entomology, V22, P31
   HAGVAR S, 1975, OIKOS, V26, P140, DOI 10.2307/3543702
   HAUKIOJA E, 1985, OECOLOGIA, V65, P223, DOI 10.1007/BF00379221
   HAWKINS BA, 1995, OECOLOGIA, V102, P31, DOI 10.1007/BF00333307
   Honek A, 1996, EUR J ENTOMOL, V93, P303
   KEVAN PG, 1982, ARCTIC ALPINE RES, V14, P125, DOI 10.2307/1551111
   Khruleva O., 1996, CHRYSOMELIDAE BIOL, V3, P259
   KHRULIOVA OA, 1994, ZOOL ZH, V73, P29
   KUKAL O, 1989, OECOLOGIA, V79, P526, DOI 10.1007/BF00378671
   LAMB RJ, 1985, OECOLOGIA, V67, P8, DOI 10.1007/BF00378444
   Lantsov VI., 1987, TIPULOIDNYE DVUKRYLY
   MATVEEVA N V, 1976, Botanicheskii Zhurnal (St. Petersburg), V61, P297
   MEDVEDEV L N, 1969, Zoologicheskii Zhurnal, V48, P532
   ROSSOLIMO TY, 1990, ZOOL ZH, V69, P154
   Saulich A. Kh., 1999, Entomologicheskoe Obozrenie, V78, P257
   THOMPSON JN, 1991, ANNU REV ENTOMOL, V36, P65, DOI 10.1146/annurev.en.36.010191.000433
   YOUNG AM, 1983, ACTA BIOTHEOR, V32, P43, DOI 10.1007/BF00047974
NR 34
TC 2
Z9 3
U1 1
U2 6
PU MEZHDUNARODNAYA KNIGA
PI MOSCOW
PA 39 DIMITROVA UL., 113095 MOSCOW, RUSSIA
SN 0044-5134
J9 ZOOL ZH
JI Zool. Zhurnal
PD JUN
PY 2002
VL 81
IS 6
BP 678
EP 685
PG 8
WC Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Zoology
GA 571CQ
UT WOS:000176697600004
DA 2025-01-10
ER

PT J
AU Ahmadiani, M
   Ferreira, S
   Landry, CE
AF Ahmadiani, Mona
   Ferreira, Susana
   Landry, Craig E.
TI Flood Insurance and Risk Reduction: Market Penetration, Coverage, and
   Mitigation in Coastal North Carolina
SO SOUTHERN ECONOMIC JOURNAL
LA English
DT Article
ID COMMUNITY RATING SYSTEM; CLIMATE ADAPTATION; EMPIRICAL-ANALYSIS; REGRET
   THEORY; PREFERENCES; LOSSES; PARTICIPATION; UNCERTAINTY; PERCEPTIONS;
   PSYCHOLOGY
AB This article provides an overview of flood risk management in the United States, focusing on the National Flood Insurance Program and the Community Ratings System (CRS), which is designed to promote flood hazard mitigation. We review the empirical literature that examines market penetration and demand for flood insurance, as well as factors that influence community participation in CRS. Combining data from separate (but similar) surveys conducted in Dare County, North Carolina in 1998 and 2008, we examine trends in flood insurance holdings and explore the extensive (binary participation) and intensive (coverage level) margins using regression analysis. We explore trends in CRS mitigation activities in Dare County and discuss potential difficulties in analyzing these data. Finally, we highlight avenues for future research.
C1 [Ahmadiani, Mona] Wake Forest Univ, 2599 Reynolda Rd, Winston Salem, NC 27106 USA.
   [Ferreira, Susana] Univ Georgia, Dept Agr & Appl Econ, 314 Conner Hall, Athens, GA 30602 USA.
   [Landry, Craig E.] Univ Georgia, Dept Agr & Appl Econ, 0301 Conner Hall, Athens, GA 30602 USA.
C3 Wake Forest University; University System of Georgia; University of
   Georgia; University System of Georgia; University of Georgia
RP Landry, CE (corresponding author), Univ Georgia, Dept Agr & Appl Econ, 0301 Conner Hall, Athens, GA 30602 USA.
EM ahmadim@wfu.edu; sferreir@uga.edu; clandry@uga.edu
OI Ahmadiani, Mona/0000-0002-1269-5685; Ferreira,
   Susana/0000-0002-9049-4408
CR ANDERSON DR, 1974, J RISK INSUR, V41, P579, DOI 10.2307/251956
   [Anonymous], 2017, Reuters
   [Anonymous], 2006, NATL FLOOD INSURANCE, DOI DOI 10.7249/TR300
   [Anonymous], 1988, Journal of Risk and Uncertainty, DOI DOI 10.1007/BF00055564
   [Anonymous], 2014, 3 NATL COMMUNICATION
   [Anonymous], 2005, A CHRONOLOGY OF MAJO, pA15
   ARROW KJ, 1982, ECON INQ, V20, P1, DOI 10.1111/j.1465-7295.1982.tb01138.x
   Atreya A, 2015, ECOL ECON, V117, P153, DOI 10.1016/j.ecolecon.2015.06.024
   Atreya A, 2013, LAND ECON, V89, P577, DOI 10.3368/le.89.4.577
   Bin O, 2004, LAND ECON, V80, P490, DOI 10.2307/3655805
   Bin O, 2013, J ENVIRON ECON MANAG, V65, P361, DOI 10.1016/j.jeem.2012.12.002
   Botzen WJW, 2009, ECOL ECON, V68, P2265, DOI 10.1016/j.ecolecon.2009.02.019
   Botzen WJW, 2013, J ECON PSYCHOL, V39, P357, DOI 10.1016/j.joep.2013.05.007
   Brody SD, 2007, J AM PLANN ASSOC, V73, P330, DOI 10.1080/01944360708977981
   Brody SD, 2013, LAND USE POLICY, V32, P89, DOI 10.1016/j.landusepol.2012.10.017
   Brody SD, 2009, RISK ANAL, V29, P912, DOI 10.1111/j.1539-6924.2009.01210.x
   Browne MJ, 2000, J RISK UNCERTAINTY, V20, P291, DOI 10.1023/A:1007823631497
   Burby R. J., 2001, Environmental Hazards, V3, P111
   CAMERER CF, 1989, J POLICY ANAL MANAG, V8, P565, DOI 10.2307/3325045
   Cameron L, 2015, J HUM RESOUR, V50, P484, DOI 10.3368/jhr.50.2.484
   Carbone JC, 2006, ENVIRON RESOUR ECON, V33, P273, DOI 10.1007/s10640-005-3610-4
   Cassar A, 2017, WORLD DEV, V94, P90, DOI 10.1016/j.worlddev.2016.12.042
   Chivers J, 2002, LAND ECON, V78, P515, DOI 10.2307/3146850
   Coastal Planning and Engineering of North Carolina Inc, 2013, ER SHOR MAN FEAS STU
   Czajkowski J, 2013, RISK ANAL, V33, P2092, DOI 10.1111/risa.12068
   Davlasheridze M, 2017, J ENVIRON ECON MANAG, V81, P93, DOI 10.1016/j.jeem.2016.09.005
   Eckel CC, 2009, J ECON BEHAV ORGAN, V69, P110, DOI 10.1016/j.jebo.2007.08.012
   Eichenberger R, 1998, PUBLIC CHOICE, V94, P191, DOI 10.1023/A:1004961414101
   ELLSBERG D, 1961, Q J ECON, V75, P643, DOI 10.2307/1884324
   Federal Emergency Management Agency, 2006, NAT FLOOD INS PROGR
   FEMA, 2020, FACT SHEET COMM RAT
   Filatova T, 2014, ENVIRON SCI POLICY, V37, P227, DOI 10.1016/j.envsci.2013.09.005
   Friedman RM, 2002, J COASTAL RES, V18, P568
   Gallagher J, 2014, AM ECON J-APPL ECON, V6, P206, DOI 10.1257/app.6.3.206
   GAO, 2017, GAO17425
   Hanaoka C, 2018, AM ECON J-APPL ECON, V10, P298, DOI 10.1257/app.20170048
   Hecker J. Z., 2002, GAO02396
   Heinz Center for Science Economics and the Environment, 2000, EMW97CO0375 FED EM M
   JOHNSON EJ, 1993, J RISK UNCERTAINTY, V7, P35, DOI 10.1007/BF01065313
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Kousky C, 2017, J RISK INSUR, V84, P819, DOI 10.1111/jori.12106
   Kousky C, 2014, ENERG ECON, V46, P576, DOI 10.1016/j.eneco.2013.09.029
   Kousky C, 2011, REV ENV ECON POLICY, V5, P153, DOI 10.1093/reep/req020
   Kousky C, 2010, LAND ECON, V86, P395, DOI 10.3368/le.86.3.395
   Kriesel W, 2004, J RISK INSUR, V71, P405, DOI 10.1111/j.0022-4367.2004.00096.x
   KRUTILLA JV, 1966, WATER RESOUR RES, V2, P183, DOI 10.1029/WR002i002p00183
   Kundzewicz ZW, 2002, WATER INT, V27, P3, DOI 10.1080/02508060208686972
   Kunreuther H, 1996, J RISK UNCERTAINTY, V12, P171, DOI 10.1007/BF00055792
   KUNREUTHER H, 1985, J ECON BEHAV ORGAN, V6, P1, DOI 10.1016/0167-2681(85)90022-8
   Kunreuther H, 2006, ANN AM ACAD POLIT SS, V604, P208, DOI 10.1177/0002716205285685
   Kunreuther H, 2001, J RISK UNCERTAINTY, V23, P103, DOI 10.1023/A:1011111601406
   Kunreuther H., 1998, Insurability Conditions and the Supply of Coverage
   Kunreuther HC, 2009, AT WAR WITH THE WEATHER: MANAGING LARGE-SCALE RISKS IN A NEW ERA OF CATASTROPHES, P1
   Kunreuther H, 2006, J RISK UNCERTAINTY, V33, P101, DOI 10.1007/s11166-006-0173-x
   Kunreuther Howard., 1984, Geneva Papers on Risk Insurance, V9, P206
   Landes D., 2012, The invention of enterprise: Entrepreneurship from ancient Mesopotamia to modern times
   Landry C. E., 2018, STRUCTURED EMPIRICAL
   Landry CE, 2012, NAT HAZARDS REV, V13, P205, DOI 10.1061/(ASCE)NH.1527-6996.0000073
   Landry CE, 2011, J RISK INSUR, V78, P361, DOI 10.1111/j.1539-6975.2010.01380.x
   Li JY, 2018, LAND ECON, V94, P175, DOI 10.3368/le.94.2.175
   LOOMES G, 1983, ECON LETT, V12, P19, DOI 10.1016/0165-1765(83)90106-4
   LOOMES G, 1982, ECON J, V92, P805, DOI 10.2307/2232669
   Marron D.B., 2006, The Budgetary Treatment of Subsidies in The National Flood Insurance Program
   MCCLELLAND GH, 1993, J RISK UNCERTAINTY, V7, P95, DOI 10.1007/BF01065317
   Michel-Kerjan E, 2012, RISK ANAL, V32, P644, DOI 10.1111/j.1539-6924.2011.01671.x
   Michel-Kerjan EO, 2010, J ECON PERSPECT, V24, P165, DOI 10.1257/jep.24.4.165
   Michel-Kerjan EO, 2010, J RISK INSUR, V77, P369, DOI 10.1111/j.1539-6975.2009.01349.x
   National Academies of Sciences Engineering and Medicine, 2015, 1 NAT AC SCI ENG MED
   National Academies of Sciences Engineering and Medicine, 2016, 2 NAT AC SCI ENG MED
   National Research Council, 2013, LEV NAT FLOOD INS PR
   Nordhaus W, 2012, J PUBLIC ECON THEORY, V14, P197, DOI [DOI 10.1111/j.1467-9779.2011.01544.x, DOI 10.1111/J.1467-9779.2011.01544.X]
   North Carolina Department of Public Safety, 2014, FLOODPL MAPP
   Page L, 2014, EUR ECON REV, V71, P121, DOI 10.1016/j.euroecorev.2014.04.009
   Petrolia DR, 2015, LAND ECON, V91, P272, DOI 10.3368/le.91.2.272
   Petrolia DR, 2013, LAND ECON, V89, P227, DOI 10.3368/le.89.2.227
   Porter K., 2017, NAT HAZ MIT SAV 2017
   Raschky P.A., 2007, Environ. Hazards, V7, P321
   Raschky PA, 2013, ENVIRON RESOUR ECON, V54, P179, DOI 10.1007/s10640-012-9586-y
   Roth R.J., 1998, PAYING PRICE STATUS
   Sayers P., 2013, Flood Risk Management: A Strategic Approach
   Schade C, 2012, J BEHAV DECIS MAKING, V25, P534, DOI 10.1002/bdm.754
   Skantz T., 1987, J REAL ESTATE RES, V2, P75, DOI [10.1080/10835547.1987.12090534, DOI 10.1080/10835547.1987.12090534]
   Slovic P, 1974, NATURAL HAZARDS LOCA
   Tanner T, 2016, CLIM RISK MANAGE POL, P1, DOI 10.1007/978-3-319-40694-7_1
   Tobin RichardJ., 2005, The National Flood Insurance Program's Mandatory Purchase Requirement: Policies, Processes, and Stakeholders
   TVERSKY A, 1981, SCIENCE, V211, P453, DOI 10.1126/science.7455683
   TVERSKY A, 1974, SCIENCE, V185, P1124, DOI 10.1126/science.185.4157.1124
   US National Weather Service, 2017, HYDR INF CTR FLOOD L
   Wambach A, 2008, MICROECONOMIC INSURA, V4, P1
   Water Directors of the European Union, 2003, BEST PRACT FLOOD PRE
   Weitzman ML, 2009, REV ECON STAT, V91, P1, DOI 10.1162/rest.91.1.1
   Zahran S, 2009, ECOL ECON, V68, P2627, DOI 10.1016/j.ecolecon.2009.04.021
NR 92
TC 10
Z9 13
U1 2
U2 19
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0038-4038
EI 2325-8012
J9 SOUTH ECON J
JI South. Econ. J.
PD APR
PY 2019
VL 85
IS 4
BP 1058
EP 1082
DI 10.1002/soej.12332
PG 25
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA HR2CD
UT WOS:000462942200004
DA 2025-01-10
ER

PT J
AU Li, X
   Bryan, L
AF Li, Xin
   Bryan, Linda
TI On Becoming an Employer of Choice: Gauging Employee Satisfaction Through
   ClimateQUAL®
SO LIBRARY TRENDS
LA English
DT Article
ID ORGANIZATIONAL-CHANGE
AB In 2007, Cornell University Library (CUL) established a strategic goal of becoming an employer of choice. This aspiration is firmly rooted in the belief that the employees' satisfaction has a direct, positive impact on user satisfaction. This article presents a case study of Cornell University Library's use of ClimateQUAL (R) survey instrument in 2008 to measure CUL employees' perceptions of the library's workplace climate. It illustrates the use of action research methodology for engaging the library community in organizational development, provides examples of actions CUL has taken, and offers general reflections on implications of adapting ClimateQUAL as an assessment instrument in libraries. Cornell University Library's ClimateQUAL results appear to support the hypothesis that a healthy workplace climate as perceived by the employees is positively linked to the satisfaction of the organization's customers.
C1 [Li, Xin] Cornell Univ, Ithaca, NY 14853 USA.
   [Li, Xin] Yale Univ, New Haven, CT 06520 USA.
   [Bryan, Linda] Cornell Univ Lib, Ithaca, NY 14853 USA.
C3 Cornell University; Yale University; Cornell University
RP Li, X (corresponding author), Cornell Univ, Ithaca, NY 14853 USA.
CR Abram S., 2009, INFORM OUTLOOK, V13, P37
   [Anonymous], 2021, U T NEWS 0414
   BAUGHMAN MS, 2007, 2006 LIB ASS C CHARL
   BERRY JN, 2003, LIB J           1101
   Bolman L., 2008, REFRAMING ORG, V4th
   Bordia P, 2004, J BUS PSYCHOL, V18, P507
   BRYAN L, 2008, HIGHLIGHTS 2008 CUL
   *CLIMATEQUAL, CONC MEAS SCAL
   *CORN U LIB, 2007, CUL GOALS 2007 2010
   French W.L., 1999, ORG DEV BEHAV SCI IN
   Haeckel S.H., 1999, ADAPTIVE ENTERPRISE
   HANGES PJ, 2008, 2008 ORG CLIMATE DIV
   HANGES PJ, 2007, 2006 LIB ASS C CHARL
   Harer JB, 2008, NEW LIB WORLD, V109, P307, DOI 10.1108/03074800810888140
   Herman R.E., 2000, BECOME EMPLOYER CHOI
   HORNE A, 2008, OPPORTUNITY CHALLENG
   KENNEY AR, 2008, M CORN U LIB EMPL IT
   KYRILLIDOU M, 2009, 14 NAT C ASS COLL RE
   Kyrillidou M., 2017, COLL RES LIB NEWS, V70, P154, DOI 10.5860/crln.70.3.8145
   Lakos A, 2004, PORTAL-LIBR ACAD, V4, P345, DOI 10.1353/pla.2004.0052
   Lowry CB, 2008, PORTAL-LIBR ACAD, V8, P1
   Schneider B, 2005, ACAD MANAGE J, V48, P1017, DOI 10.2307/20159727
   Schneider B, 2003, J APPL PSYCHOL, V88, P836, DOI 10.1037/0021-9010.88.5.836
   *SOC HUM RES MAN, 2005, ESS MAN CHANG TRANS
   Stephens D, 2004, LIBR TRENDS, V53, P238
   Swan A., 2008, The skills, role and career structures of data scientists and curators: An assessment of current practice and future needs
   WEISMAN E, 2009, CUL TASK FORCE STAFF
   Wilder S J, 1999, J LIB ADM, V28, P5
NR 28
TC 8
Z9 11
U1 1
U2 12
PU JOHNS HOPKINS UNIV PRESS
PI BALTIMORE
PA JOURNALS PUBLISHING DIVISION, 2715 NORTH CHARLES ST, BALTIMORE, MD
   21218-4363 USA
SN 0024-2594
J9 LIBR TRENDS
JI Libr. Trends
PD SUM-FAL
PY 2010
VL 59
IS 1-2
BP 256
EP 268
PG 13
WC Information Science & Library Science
WE Social Science Citation Index (SSCI)
SC Information Science & Library Science
GA 704UR
UT WOS:000286081600016
DA 2025-01-10
ER

PT B
AU Heong, KL
   Zhu, ZR
   Lu, ZX
   Escalada, M
   Chien, HV
   Cuong, LQ
   Cheng, J
AF Heong, K. L.
   Zhu, Z. R.
   Lu, Z. X.
   Escalada, M.
   Chien, H. V.
   Cuong, L. Q.
   Cheng, J.
BE Hendrichs, J
   Pereira, R
   Vreysen, MJB
TI AREA-WIDE MANAGEMENT OF RICE PLANTHOPPER PESTS IN ASIA THROUGH
   INTEGRATION OF ECOLOGICAL ENGINEERING AND COMMUNICATION STRATEGIES
SO AREA-WIDE INTEGRATED PEST MANAGEMENT: Development and Field Application
LA English
DT Article; Book Chapter
DE Nilaparvata lugens; brown planthopper; rice; rice insect pests;
   ecosystem services; migration; mass-media; entertainment-education;
   habitat manipulation; biological control; natural enemies; parasitoids;
   predators; China; Philippines; South Korea; Thailand; Viet Nam
ID MEKONG DELTA; IRRIGATED RICE; FARMERS; PARASITOIDS; DYNAMICS
AB Most rice insect pests are exogenous immigrants from either long distances or neighbouring areas. For their management to be economical and sustainable, an area-wide perspective is imperative. Key pests, like the planthoppers and stem borers, are highly dependent on rice for survival and reproduction. They multiply and move from one rice crop to another, sometimes carrying virus diseases such as ragged stunt, grassy stunt and rice stripe from source areas. The planthoppers are r strategists, unable to overwinter in northern China, Japan and Korea, and are known to "migrate" or are displaced by wind from southern China to temperate regions of China, Japan and the Korean peninsula. With adequate faunal biodiversity and biological control ecosystem services in a rice crop, immigrant pests have low chances of survival and growth capacities, and often remain a minor pest. However, when the local ecosystem services are compromised, often by unnecessary insecticide use or extreme weather conditions, such as droughts or floods, the immigrants show high survival and growth rates. Since, 2008 the Rice Bowl of Thailand suffered brown planthopper (BPH) (Nilaparvata lugens Stal) outbreaks for 14 consecutive rice seasons that caused losses of more than USD 200 million. Farmers were routinely applying insecticides as prophylactics and the BPH consequently "escaped" its natural control and populations increased 100 000-fold. Ecological engineering approaches involve practices that will build and restore biodiversity and ecosystem services, and reduce insecticide-induced threats to ecosystem services. An area-wide increase in floral biodiversity in the crop landscape provides shelter, nectar, alternate hosts and pollen (abbreviated as SNAP by Professor Wratten) to conserve the natural enemy fauna. Pioneered in Jin Hua, China with sesame plants grown on the rice bunds, ecological engineering is now practiced in China, the Philippines, Thailand, and Viet Nam, using several flower species. A multi-country, multi-year field trial conducted by scientists of the International Rice Research Institute (IRRI) in collaboration with researchers from Australia, China, Thailand and Viet Nam showed that the growing of flowers on rice bunds as an ecological engineering practice increased profits (by 7.5%), yields (by 5%), biological control (by 45%) and added aesthetic values to the rural landscape. At the same time the ecological engineering practice decreased insecticide use (by 70%), pest densities (by 30%) and farmers' chemical input costs (by 70%). Farmers are adopters and implementers of ecological engineering practices, and to reach and motivate the millions of farmers in Viet Nam, two TV serials developed using entertainment-education principles were launched to promote the establishment of flower strips and to reduce insecticide applications. The TV serials helped farmers to "see" and appreciate the role of parasitoids by linking these (termed locally as "small bees") to widely-known bees. Farmers that viewed the serials decreased their insecticide use by 24%, had 3.3% higher yields, increased their appreciation of parasitoids and gained positive attitudes towards the establishment of flower strips. To achieve sustainable area-wide pest management, ecological engineering practices have to be coupled with rational pesticide management through better pesticide policies, regulations and implementation, accurate pest diagnostics and timely professional advice to farmers.
   Aside from its proven impacts on pest control and more profitable farming, increasing biodiversity and ecosystem services in rice fields can also contribute towards climate change adaptation and a more resilient environment.
C1 [Heong, K. L.; Zhu, Z. R.; Cheng, J.] Zhejiang Univ, Inst Insect Sci, Hangzhou, Peoples R China.
   [Lu, Z. X.] Zhejiang Acad Agr Sci, Inst Plant Protect & Microbiol, Hangzhou, Peoples R China.
   [Escalada, M.] Visayas State Univ, Baybay, Leyte, Philippines.
   [Chien, H. V.] Mekong Univ, Dept Plant Protect, Vinh Long, Vietnam.
   [Cuong, L. Q.] Southern Reg Plant Protect Ctr, Long Dinh, Tien Giang, Vietnam.
   [Heong, K. L.] Int Rice Res Inst, Los Banos, Philippines.
C3 Zhejiang University; Zhejiang Academy of Agricultural Sciences; Visayas
   State University; CGIAR; International Rice Research Institute (IRRI)
RP Heong, KL (corresponding author), Zhejiang Univ, Inst Insect Sci, Hangzhou, Peoples R China.; Heong, KL (corresponding author), Int Rice Res Inst, Los Banos, Philippines.
EM klheong@yahoo.com
RI Heong, KL/Z-4533-2019; Zhu, Zheren/AAH-3822-2021
FU International Rice Research Institute (IRRI); Asian Development Bank
   (ADB) [RETA 6489]; Swiss Development Agency (SDC)
FX The authors would like to thank the International Rice Research
   Institute (IRRI) where most of the work was carried out, and the Asian
   Development Bank (ADB) RETA 6489, and the Swiss Development Agency (SDC)
   for providing the funds for the research and networking activities, as
   well as the two anonymous reviewers for providing us with valuable
   suggestions.
CR [Anonymous], 2009, PLANTHOPPERS NEW THR
   [Anonymous], 2013, Rice almanac, V4th
   [Anonymous], 1982, MODELS BOUNDED RATIO
   [Anonymous], 2002, CHINA ENV SERIES
   [Anonymous], 2019, BusinessWorld
   [Anonymous], 2012, BIODIVERSITY INSECT
   [Anonymous], 2010, RES IMPACT CASE STUD
   [Anonymous], SAPIENS
   Bottrell DG, 2012, J ASIA-PAC ENTOMOL, V15, P122, DOI 10.1016/j.aspen.2011.09.004
   De Kraker J, 1999, BIOCONTROL, V44, P449
   Escalada M.M., 1999, J APPL COMMUNICATION, V83, P7
   Escalada M.M., 2006, RICE LAOS, P283
   FAO. Food and Agriculture Organization, 2011, SAV GROW POL GUID SU
   FAO/WHO) Food and Agriculture Organization of the United Nations/World Health Organization, 2014, INT COD COND PEST MA
   Feder G, 2004, J AGR ECON, V55, P221, DOI 10.1111/j.1477-9552.2004.tb00094.x
   Fox J. J, 2014, ASIAN SCI
   Gurr GM, 2011, ANN APPL BIOL, V158, P149, DOI 10.1111/j.1744-7348.2010.00455.x
   Gurr GM, 2016, NAT PLANTS, V2, DOI 10.1038/nplants.2016.14
   Gurr Geoff M., 2012, P214
   Heinrichs E., 1994, Biology and management of rice, Vinsects
   Heong KL, 2008, CROP PROT, V27, P1392, DOI 10.1016/j.cropro.2008.05.010
   Heong K. L., 1995, Impact of pesticides on farmer health and the rice environment., P97
   Heong K. L, RICE PLANTHOPPERS EC, P69
   Heong K.L., 1998, Ecotoxicology, P381, DOI DOI 10.1007/978-1-4615-5791-3
   Heong K. L., 1997, PEST MANAGEMENT RICE
   Heong K L., 2009, Planthoppers: new threats to the sustainability of intensive rice production systems in Asia, P221
   HEONG KL, 1991, B ENTOMOL RES, V81, P407, DOI 10.1017/S0007485300031977
   Heong KL, 1998, CROP PROT, V17, P413, DOI 10.1016/S0261-2194(98)00036-2
   Heong KL, 2015, RICE PLANTHOPPERS EC, P179, DOI DOI 10.1007/978-94-017-9535-7
   Heong KL, 2009, PLANTHOPPERS NEW THR
   Huan NH, 2008, INT J PEST MANAGE, V54, P339, DOI 10.1080/09670870802403978
   Huan NH, 2005, CROP PROT, V24, P457, DOI 10.1016/j.cropro.2004.09.013
   Ives AR, 1997, AM NAT, V149, P220, DOI 10.1086/285988
   Kim C. G., 2015, J INT EC STUD, V29, P3
   Kong L.H., 2015, RICE PLANTHOPPERS EC
   Lu YH, 2017, J INTEGR AGR, V16, P2525, DOI [10.1016/S2095-3119(17)61658-7, 10.1016/s2095-3119(17)61658-7]
   Lu ZX., 2015, Rice planthoppers: ecology, management, socio economics and policy, P163
   Matteson PC, 2000, ANNU REV ENTOMOL, V45, P549, DOI 10.1146/annurev.ento.45.1.549
   McCann L, 2005, SOC NATUR RESOUR, V18, P759, DOI 10.1080/08941920591005340
   MEA Millennium Ecosystem Assessment, 2005, ECOSYSTEMS HUMAN WEL
   Pingali P.L., 1997, Asian Rice Bowls: The Returning Crisis? International Rice Research Institute (IRRI), Los Banos
   Singhal ArvindEverett M. Rogers., 1999, ENTERTAINMENT ED COM
   Spangenberg JH, 2015, ECOL MODEL, V295, P188, DOI 10.1016/j.ecolmodel.2014.05.010
   Thorburn C, 2014, AGROECOL SUST FOOD, V38, P3, DOI 10.1080/21683565.2013.825828
   Watanabe T, 2009, PLANTHOPPERS NEW THR, P179
   WAY MJ, 1994, B ENTOMOL RES, V84, P567, DOI 10.1017/S000748530003282X
   Zheng XS, 2017, SCI REP-UK, V7, DOI 10.1038/srep45581
   Zhu PY, 2013, BIOL CONTROL, V64, P83, DOI 10.1016/j.biocontrol.2012.09.014
NR 48
TC 0
Z9 0
U1 3
U2 13
PU CRC PRESS-TAYLOR & FRANCIS GROUP
PI BOCA RATON
PA 6000 BROKEN SOUND PARKWAY NW, STE 300, BOCA RATON, FL 33487-2742 USA
BN 978-1-003-16923-9; 978-0-367-76986-4
PY 2020
BP 617
EP 631
D2 10.1201/9781003169239
PG 15
WC Agronomy; Entomology
WE Book Citation Index – Science (BKCI-S)
SC Agriculture; Entomology
GA BS4ED
UT WOS:000718323700032
OA Green Published, Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Kusaka, S
   Yamada, Y
   Yoneda, M
AF Kusaka, Soichiro
   Yamada, Yasuhiro
   Yoneda, Minoru
TI Ecological and cultural shifts of hunter-gatherers of the Jomon period
   paralleled with environmental changes
SO AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
LA English
DT Article
DE carbon isotope; nitrogen isotope; radiocarbon dating; bone collagen
ID RITUAL TOOTH ABLATION; ADULT SKELETAL AGE; ISOTOPIC EVIDENCE; MORTUARY
   PRACTICES; STABLE-ISOTOPES; DIET; CARBON; SITE; NITROGEN; MIDDLE
AB Objectives: Holocene hunter-gatherers adapted to climatic and environmental changes over time. Carbon and nitrogen stable isotope analysis of human skeletal remains from the Inariyama shell mound of the Final Jomon period have revealed large dietary variations in the population. This study analyzed radiocarbon dates of these individuals to test temporal changes in diet and its relationship with tooth ablation.
   Materials and Methods: Twenty-nine human skeletal remains from Inariyama were included in this study. Extracted bone collagen samples were purified to graphite. Then, radiocarbon dating of these samples was performed using the accelerator mass spectrometer.
   Results: The radiocarbon ages of Inariyama ranged about, 3,230-2,140 cal BP and showed three peaks of occupation. In the early and late phases, terrestrial resource consumption and incisor extraction were observed, while marine resource consumption and canine extraction were observed in the middle phase.
   Discussion: These temporal changes of diet and tooth ablation types occurred in parallel with climatic cooling and environmental change and help reveal how Holocene hunter-gatherers adapted to the changing environments.
C1 [Kusaka, Soichiro] Museum Nat & Environm Hist, Shizuoka, Japan.
   [Yamada, Yasuhiro] Natl Museum Japanese Hist, Chiba, Japan.
   [Yoneda, Minoru] Univ Tokyo, Univ Museum, Tokyo, Japan.
C3 University of Tokyo
RP Kusaka, S (corresponding author), Museum Nat & Environm Hist, Suruga Ku, 5762 Oya, Shizuoka, Shizuoka 4228017, Japan.
EM soichiro1_kusaka@pref.shizuoka.lg.jp
RI YONEDA, Minoru/P-4436-2019; 山田, 康弘/JYO-4810-2024; YONEDA,
   Minoru/J-3253-2013
OI YONEDA, Minoru/0000-0003-0129-8921; Yamada, Yasuhiro/0000-0003-4686-7243
FU Japan Society for the Promotion of Science; Research Institute for
   Humanity and Nature; National Museum of Japanese History
FX Japan Society for the Promotion of Science; Research Institute for
   Humanity and Nature; National Museum of Japanese History
CR Ambrose StanleyH., 1993, MOL ARCHAEOLOGY PREH, P1
   [Anonymous], 1979, J FACULTY LAW LIT OK
   Arneborg J, 1999, RADIOCARBON, V41, P157, DOI 10.1017/S0033822200019512
   Benimura H, 1981, SEVERAL STAGES PREHI
   Brooks S., 1990, Human Evolution, V5, P227, DOI [10.1007/BF02437238, DOI 10.1007/BF02437238, 10.1007/bf02437238]
   Buikstra J. E., 1994, Standards for data collection from human skeletal remains, DOI DOI 10.1002/AJHB.1310070519
   Burnett SE, 2017, BIOAR INTER HUM PAST, P1
   CHISHOLM B, 1992, PACIFIC NORTHEAST ASIA IN PREHISTORY, P69
   Cook GT, 2015, QUAT GEOCHRONOL, V27, P164, DOI 10.1016/j.quageo.2015.02.024
   Corruccini RS, 2002, AM J PHYS ANTHROPOL, V117, P113, DOI 10.1002/ajpa.10020
   Craig OE, 2013, NATURE, V496, P351, DOI 10.1038/nature12109
   Craig OE, 2009, AM J PHYS ANTHROPOL, V139, P572, DOI 10.1002/ajpa.21021
   Drucker D, 2004, INT J OSTEOARCHAEOL, V14, P162, DOI 10.1002/oa.753
   Fujio S, 2009, CHRONOLOGICAL INVEST, P138
   Guilderson TP, 2005, SCIENCE, V307, P362, DOI 10.1126/science.1104164
   Han KX, 1996, ANTHROPOL SCI, V104, P43
   Harunari H, 1973, Q ARCHAEOLOGICAL STU, V20, P25
   Harunari H., 2013, B NATL MUS JPN HIST, V175, P77
   Hedges REM, 2004, ANTIQUITY, V78, P34, DOI 10.1017/S0003598X00092905
   Hoff AR, 2017, AM J PHYS ANTHROPOL, V162, P219
   Iwase A., 1991, ICHIKISHIMA SHRINE S, P75
   Katzenberg MA, 2009, J ARCHAEOL SCI, V36, P663, DOI 10.1016/j.jas.2008.10.012
   Kawahata H, 2017, QUATERN INT, V440, P102, DOI 10.1016/j.quaint.2016.04.013
   Kawase K., 1998, GEOGR REV JPN, V71, P411
   Kiriyama K, 2017, J ARCHAEOL SCI-REP, V11, P200, DOI 10.1016/j.jasrep.2016.11.048
   Kiyono K, 1969, STUDY JAPANESE SHELL
   Knudson KJ, 2008, J ARCHAEOL RES, V16, P397, DOI 10.1007/s10814-008-9024-4
   Kobayashi K, 2007, NUCL INSTRUM METH B, V259, P31, DOI 10.1016/j.nimb.2007.01.144
   Kobayashi T., 2004, Jomon reflections: forager life and culture in the prehistoric Japanese archipelago
   Kondo O, 2017, ANTHROPOL SCI, V125, P85, DOI 10.1537/ase.170428
   Koyama S, 1978, SENRI ETHNOLOGICAL S, V2, P1
   Kubota Y, 2010, PALEOCEANOGRAPHY, V25, DOI 10.1029/2009PA001891
   Kuper R, 2006, SCIENCE, V313, P803, DOI 10.1126/science.1130989
   Kusaka S, 2008, ANTHROPOL SCI, V116, P171, DOI 10.1537/ase.070703
   Kusaka S, 2015, AM J PHYS ANTHROPOL, V158, P300, DOI 10.1002/ajpa.22775
   Kusaka S, 2011, J ARCHAEOL SCI, V38, P166, DOI 10.1016/j.jas.2010.09.001
   Kusaka S, 2010, J ARCHAEOL SCI, V37, P1968, DOI 10.1016/j.jas.2010.03.002
   Larsen ClarkSpencer., 1997, BIOARCHAEOLOGY
   LOVEJOY CO, 1985, AM J PHYS ANTHROPOL, V68, P15, DOI 10.1002/ajpa.1330680103
   LOVEJOY CO, 1985, AM J PHYS ANTHROPOL, V68, P47, DOI 10.1002/ajpa.1330680105
   Maeda K., 2000, CEMETERY KANSAI REGI, P103
   Maeda Y, 1983, QUARTERNARY RES, V22, P231
   Mannino MA, 2015, SCI REP-UK, V5, DOI 10.1038/srep16288
   Mayewski PA, 2004, QUATERNARY RES, V62, P243, DOI 10.1016/j.yqres.2004.07.001
   MEINDL RS, 1985, AM J PHYS ANTHROPOL, V68, P57, DOI 10.1002/ajpa.1330680106
   Michczynski A, 2006, GEOCHRONOMETRIA, V25, P1
   MILNER GR, 1991, ADVANCES IN DENTAL ANTHROPOLOGY, P357
   Minagawa M., 2001, B NATN MUS JAP HIST, V86, P333
   Nakahashi T, 1999, INTERDISCIPLINARY PE, P127
   PHENICE TW, 1969, AM J PHYS ANTHROPOL, V30, P297, DOI 10.1002/ajpa.1330300214
   Post DM, 2002, ECOLOGY, V83, P703, DOI 10.2307/3071875
   Ramsey CB, 2009, RADIOCARBON, V51, P337, DOI 10.1017/S0033822200033865
   Reimer PJ, 2013, RADIOCARBON, V55, P1869, DOI 10.2458/azu_js_rc.55.16947
   Richards MP, 2003, NATURE, V425, P366, DOI 10.1038/425366a
   Schillaci MA, 2003, AM J PHYS ANTHROPOL, V120, P1, DOI 10.1002/ajpa.10147
   Shimada I, 2004, CURR ANTHROPOL, V45, P369, DOI 10.1086/382249
   Shindell DT, 2001, SCIENCE, V294, P2149, DOI 10.1126/science.1064363
   Shishikura M, 2007, QUATERNARY RES, V67, P286, DOI 10.1016/j.yqres.2006.09.003
   Shitara H, 2004, ARCHAEOL Q, V88, P60
   Stojanowski CM, 2006, YEARB PHYS ANTHROPOL, V49, P49, DOI 10.1002/ajpa.20517
   Stojanowski CM, 2014, AM J PHYS ANTHROPOL, V154, P79, DOI 10.1002/ajpa.22474
   Sugihara S, 1964, MEMOIRES TOKYO ARCHA, V2, P37
   Tagaya A., 2000, HUMAN SKELETAL REMAI, P557
   Tanaka Y., 1998, NIHON KOKOGAKU, V5, P1
   Temple DH, 2011, INT J OSTEOARCHAEOL, V21, P323, DOI 10.1002/oa.1146
   Temple DH, 2007, AM J PHYS ANTHROPOL, V133, P1035, DOI 10.1002/ajpa.20645
   Temple DH, 2011, AM J HUM BIOL, V23, P107, DOI 10.1002/ajhb.21113
   Tieszen LL., 1993, Molecular Anthropology of Prehistoric Human Bone, P121, DOI [10.1007/978-3-662-02894-0_5, DOI 10.1007/978-3-662-02894-0_5, 10.1007/978-3-662-02894-05, DOI 10.1007/978-3-662-02894-05]
   Toizumi T, 2008, ANIMAL REMAINS SHELL, P69
   Umitsu M., 1992, J SEDIMENTOLOGICAL S, V36, P47, DOI DOI 10.14860/JSSJ1972.36.47
   WALKER PL, 1986, AM J PHYS ANTHROPOL, V71, P51, DOI 10.1002/ajpa.1330710107
   Wang YJ, 2005, SCIENCE, V308, P854, DOI 10.1126/science.1106296
   Watanabe M, 2002, HIST AICHI PREFECTUR, P25
   Weber AW, 2016, QUATERN INT, V405, P233, DOI 10.1016/j.quaint.2016.01.031
   Weber AW, 2011, J ANTHROPOL ARCHAEOL, V30, P523, DOI 10.1016/j.jaa.2011.06.006
   Williams AN, 2012, J ARCHAEOL SCI, V39, P578, DOI 10.1016/j.jas.2011.07.014
   Williams AN, 2010, J QUATERNARY SCI, V25, P831, DOI 10.1002/jqs.1416
   Yamada Y, 2008, ANN M JAP ARCH ASS 2, P117
   Yamada Y., 2013, MY ARCHAEOLOGY MONOG, P125
   Yamamoto N, 2008, ANN M JAP ARCH ASS 2, P19
   Yoneda M, 2004, NUCL INSTRUM METH B, V223, P116, DOI 10.1016/j.nimb.2004.04.026
   Yoneda M, 2004, J ARCHAEOL SCI, V31, P97, DOI 10.1016/S0305-4403(03)00103-1
   Yoneda Minoru, 1996, Quaternary Research (Tokyo), V35, P293
NR 83
TC 8
Z9 8
U1 0
U2 4
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 OCT
PY 2018
VL 167
IS 2
BP 377
EP 388
DI 10.1002/ajpa.23638
PG 12
WC Anthropology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Anthropology; Evolutionary Biology
GA HC6RH
UT WOS:000451928600014
PM 30159872
DA 2025-01-10
ER

PT J
AU Comte, L
   Hugueny, B
   Grenouillet, G
AF Comte, Lise
   Hugueny, Bernard
   Grenouillet, Gael
TI Climate interacts with anthropogenic drivers to determine extirpation
   dynamics
SO ECOGRAPHY
LA English
DT Article
ID RANGE SHIFTS; LOCAL ADAPTATION; MARINE SYSTEMS; GLOBAL CHANGE;
   BIODIVERSITY; POPULATIONS; EXTINCTION; RESPONSES; EDGE; EVOLUTIONARY
AB Theoretical studies suggest that the dynamics of a species' range during a period of climate change depends upon the existence and interplay of various ecological and evolutionary processes. Here we tested how anthropogenic pressures contribute to climate-mediated extirpation patterns of 32 freshwater fish species over the last 20 yr. We contrasted two extreme cases to determine whether extirpations were governed by patterns of climate exposure, assuming full adaptation of species to local climate, or instead by the interplay between climate exposure and the distance from the centroid of species' climatic niches, assuming a fixed niche, and asked whether anthropogenic disturbances interact with these climatic drivers. We found strong support for the fixed niche hypothesis, but showed that species-specific local adaptation to climate may also be important in determining extirpation dynamics. We also demonstrated that anthropogenic disturbance acted in concert with climate, ultimately determining population changes. Our results add novel evidence that unravelling the direct links between range dynamics and climate requires a multifaceted treatment, and that accounting for the cumulative effects of anthropogenic pressures deserves special attention in the context of climate change.
C1 [Comte, Lise; Grenouillet, Gael] Univ Toulouse 3, CNRS, ENFA, EDB Lab Evolut & Divers Biol UMR5174, 118 Route Narbonne, FR-31062 Toulouse, France.
   [Comte, Lise] Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA.
   [Hugueny, Bernard] MNHN, UPMC, Dept Milieux & Peuplements Aquat, CNRS 7208,UMR BOREA,IRD 207, 43 Rue Cuvier, FR-75231 Paris, France.
C3 Universite de Toulouse; Universite Federale Toulouse Midi-Pyrenees
   (ComUE); Universite Toulouse III - Paul Sabatier; Ecole Nationale
   Formation Agronomique (ENSFEA); Centre National de la Recherche
   Scientifique (CNRS); CNRS - Institute of Ecology & Environment (INEE);
   University of Washington; University of Washington Seattle; Centre
   National de la Recherche Scientifique (CNRS); Institut de Recherche pour
   le Developpement (IRD); Museum National d'Histoire Naturelle (MNHN);
   Sorbonne Universite; CNRS - Institute of Ecology & Environment (INEE)
RP Comte, L (corresponding author), Univ Toulouse 3, CNRS, ENFA, EDB Lab Evolut & Divers Biol UMR5174, 118 Route Narbonne, FR-31062 Toulouse, France.; Comte, L (corresponding author), Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA.
EM lcomte@uw.edu
RI Grenouillet, Gael/E-6518-2019; Comte, Lise/AAS-5036-2021
OI Grenouillet, Gael/0000-0003-3588-3694; Comte, Lise/0000-0001-8030-0019
FU 'Investissement d'Avenir' grant (CEBA) [ANR-10-LABX-0025];
   'Investissement d'Avenir' grant (TULIP) [ANR-10-LABX-41]; 
   [ANR-09-PEXT-008-01]
FX We thank Morgan Tingley for his fruitful comments on earlier drafts of
   the manuscript and Radika Michniewicz for improving the English in
   editing of this article. We are indebted to the French National Agency
   for Water and Aquatic Environment (Onema) for providing fish data, and
   we thank the many fieldworkers who contributed to the fish records.
   Financial support was provided by grant ANR-09-PEXT-008-01. EDB lab was
   supported by 'Investissement d'Avenir' grants (CEBA, ref.
   ANR-10-LABX-0025; TULIP, ref. ANR-10-LABX-41).
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Angert AL, 2011, ECOL LETT, V14, P677, DOI 10.1111/j.1461-0248.2011.01620.x
   Atkins KE, 2010, J THEOR BIOL, V266, P449, DOI 10.1016/j.jtbi.2010.07.014
   Bates AE, 2014, GLOBAL ENVIRON CHANG, V26, P27, DOI 10.1016/j.gloenvcha.2014.03.009
   Beever EA, 2011, GLOBAL CHANGE BIOL, V17, P2054, DOI 10.1111/j.1365-2486.2010.02389.x
   Bergerot B, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0084138
   Bossard M.F.J., 2000, CORINE LAND COVER TE
   Brook BW, 2008, TRENDS ECOL EVOL, V23, P453, DOI 10.1016/j.tree.2008.03.011
   Cahill AE, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.1890
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   Clavero M, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018581
   Comte L., 2015, DRYAD DIGITAL REPOSI
   Comte L, 2013, ECOGRAPHY, V36, P1236, DOI 10.1111/j.1600-0587.2013.00282.x
   Crain CM, 2008, ECOL LETT, V11, P1304, DOI 10.1111/j.1461-0248.2008.01253.x
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   Devictor V, 2012, NAT CLIM CHANGE, V2, P121, DOI 10.1038/NCLIMATE1347
   Goldewijk KK, 2011, GLOBAL ECOL BIOGEOGR, V20, P73, DOI 10.1111/j.1466-8238.2010.00587.x
   Graham RW, 1996, SCIENCE, V272, P1601
   Hampe A, 2005, ECOL LETT, V8, P461, DOI 10.1111/j.1461-0248.2005.00739.x
   Hill JK, 1999, P ROY SOC B-BIOL SCI, V266, P1197, DOI 10.1098/rspb.1999.0763
   Huey RB, 2012, PHILOS T R SOC B, V367, P1665, DOI 10.1098/rstb.2012.0005
   Jackson ST, 2010, TRENDS ECOL EVOL, V25, P153, DOI 10.1016/j.tree.2009.10.001
   Johnson JB, 2004, TRENDS ECOL EVOL, V19, P101, DOI 10.1016/j.tree.2003.10.013
   Lavergne S, 2010, ANNU REV ECOL EVOL S, V41, P321, DOI 10.1146/annurev-ecolsys-102209-144628
   Le Moigne P., 2002, TECHNICAL REPORT
   Lehikoinen A, 2013, GLOBAL CHANGE BIOL, V19, P2071, DOI 10.1111/gcb.12200
   Lenoir J, 2015, ECOGRAPHY, V38, P15, DOI 10.1111/ecog.00967
   Morelli TL, 2012, P ROY SOC B-BIOL SCI, V279, P4279, DOI 10.1098/rspb.2012.1301
   Opdam P, 2004, BIOL CONSERV, V117, P285, DOI 10.1016/j.biocon.2003.12.008
   Parmesan C, 2005, OIKOS, V108, P58, DOI 10.1111/j.0030-1299.2005.13150.x
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Pearson RG, 2014, NAT CLIM CHANGE, V4, P217, DOI [10.1038/NCLIMATE2113, 10.1038/nclimate2113]
   Pinheiro J. C., 2009, Mixed-effects models in S and S-Plus, DOI DOI 10.1007/BF01313644
   Poloczanska ES, 2013, NAT CLIM CHANGE, V3, P919, DOI [10.1038/nclimate1958, 10.1038/NCLIMATE1958]
   Poulet N, 2011, J FISH BIOL, V79, P1436, DOI 10.1111/j.1095-8649.2011.03084.x
   Razgour O, 2013, ECOL LETT, V16, P1258, DOI 10.1111/ele.12158
   Schiffers K, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0083
   Staudinger MD, 2013, FRONT ECOL ENVIRON, V11, P465, DOI 10.1890/120272
   Staudt A, 2013, FRONT ECOL ENVIRON, V11, P494, DOI 10.1890/120275
   Sunday JM, 2014, P NATL ACAD SCI USA, V111, P5610, DOI 10.1073/pnas.1316145111
   Thuiller W, 2013, ECOL LETT, V16, P94, DOI 10.1111/ele.12104
   Tingley MW, 2009, P NATL ACAD SCI USA, V106, P19637, DOI 10.1073/pnas.0901562106
   Valladares F, 2014, ECOL LETT, V17, P1351, DOI 10.1111/ele.12348
   VanDerWal J, 2013, NAT CLIM CHANGE, V3, P239, DOI [10.1038/NCLIMATE1688, 10.1038/nclimate1688]
   Warren MS, 2001, NATURE, V414, P65, DOI 10.1038/35102054
   Wilczek AM, 2014, P NATL ACAD SCI USA, V111, P7906, DOI 10.1073/pnas.1406314111
   Williams JW, 2007, FRONT ECOL ENVIRON, V5, P475, DOI 10.1890/070037
   Williams SE, 2008, PLOS BIOL, V6, P2621, DOI 10.1371/journal.pbio.0060325
NR 49
TC 10
Z9 11
U1 0
U2 34
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0906-7590
EI 1600-0587
J9 ECOGRAPHY
JI Ecography
PD OCT
PY 2016
VL 39
IS 10
BP 1008
EP 1016
DI 10.1111/ecog.01871
PG 9
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA DZ0XR
UT WOS:000385563500011
DA 2025-01-10
ER

PT J
AU Patki, A
   Frank-Ito, DO
AF Patki, Aniruddha
   Frank-Ito, Dennis O.
TI Characterizing human nasal airflow physiologic variables by nasal index
SO RESPIRATORY PHYSIOLOGY & NEUROBIOLOGY
LA English
DT Article
DE Nasal index; Computational fluid dynamics; Nasal resistance; Heat flux;
   Wall shear stress
ID QUALITY-OF-LIFE; NUMERICAL-SIMULATION; PARTICLE DEPOSITION; SEPTAL
   DEVIATION; SURGERY; DYNAMICS; NOSE; RESISTANCE; SINUS; OUTCOMES
AB Although variations in nasal index (NI) have been reported to represent adaptation to climatic conditions, assessments of NI with airflow variables have not been rigorously investigated. This study uses computational fluid dynamics modeling to investigate the relationship between NI and airflow variables in 16 subjects with normal nasal anatomy. Airflow simulations were conducted under constant inspiratory pressure. Nasal resistance (NR) against NI showed weak association from nostrils to anterior inferior turbinate (R-2 = 0.26) and nostril to choanae (R-2 = 0.12). NI accounted for 38% and 41% of the respective variation in wall shear stress (WSS) and heat flux (HF) at the nasal vestibule, and 52% and 49% of variability in WSS and HF across the entire nose. HF and WSS had strong correlation with NI < 80, and weakly correlated with NI > 80; these differences in HF and WSS for NI < 80 and NI > 80 were not statistically significant. Results suggest strong relationship between NI and both WSS and HF but not NR, particularly in subjects with NI < 80. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Patki, Aniruddha; Frank-Ito, Dennis O.] Duke Univ, Med Ctr, Div Head & Neck Surg & Commun Sci, Box 3805, Durham, NC 27710 USA.
   [Frank-Ito, Dennis O.] Duke Univ, Computat Biol & Bioinformat Program, Durham, NC USA.
   [Frank-Ito, Dennis O.] Duke Univ, Dept Mech Engn & Mat Sci, Durham, NC 27706 USA.
C3 Duke University; Duke University; Duke University
RP Frank-Ito, DO (corresponding author), Duke Univ, Med Ctr, Div Head & Neck Surg & Commun Sci, Box 3805, Durham, NC 27710 USA.
EM dennis.frank@duke.edu
OI Frank-Ito, Dennis/0000-0002-9683-8355
CR André RF, 2009, CLIN OTOLARYNGOL, V34, P518, DOI 10.1111/j.1749-4486.2009.02042.x
   BABATOLA F D O, 1990, Rhinology (Utrecht), V28, P269
   Baraniuk James N, 2011, Proc Am Thorac Soc, V8, P62, DOI 10.1513/pats.201006-042RN
   Benninger MS, 1997, ARCH OTOLARYNGOL, V123, P1175
   Bhattacharyya N, 2006, CURR OPIN ALLERGY CL, V6, P167, DOI 10.1097/01.all.0000225154.45027.a4
   Browne JP, 2006, LARYNGOSCOPE, V116, P297, DOI 10.1097/01.mlg.0000198338.05826.18
   CALHOUN KH, 1990, OTOLARYNG HEAD NECK, V103, P605, DOI 10.1177/019459989010300413
   Canbay EI, 1997, AM J RHINOL, V11, P73, DOI 10.2500/105065897781446801
   Cannon DE, 2013, OTOLARYNG HEAD NECK, V148, P513, DOI 10.1177/0194599812472881
   Choi KJ, 2016, AM J RHINOL ALLERGY, V30, P29, DOI 10.2500/ajra.2016.30.4266
   Corley RA, 2012, TOXICOL SCI, V128, P500, DOI 10.1093/toxsci/kfs168
   CROGNIER E, 1981, ANN HUM BIOL, V8, P99, DOI 10.1080/03014468100004841
   Daniel RK, 2003, PLAST RECONSTR SURG, V112, P244, DOI 10.1097/01.PRS.0000066363.37479.EE
   Davies A, 1932, J R ANTHROPOL INST G, V62, P337, DOI 10.2307/2843962
   Doddi NM, 2011, RHINOLOGY, V49, P583, DOI 10.4193/Rhino.10.105
   Doorly DJ, 2008, RESP PHYSIOL NEUROBI, V163, P100, DOI 10.1016/j.resp.2008.07.027
   Elad D, 2006, J APPL PHYSIOL, V100, P1003, DOI 10.1152/japplphysiol.01049.2005
   FRANCISCUS RG, 1991, AM J PHYS ANTHROPOL, V85, P419, DOI 10.1002/ajpa.1330850406
   Frank DO, 2013, INT FORUM ALLERGY RH, V3, P834, DOI 10.1002/alr.21203
   Frank DO, 2013, INT FORUM ALLERGY RH, V3, P48, DOI 10.1002/alr.21070
   Frank DO, 2012, RHINOLOGY, V50, P311, DOI [10.4193/Rhin12.053, 10.4193/Rhino12.053]
   Frank DO, 2012, OTOLARYNG HEAD NECK, V146, P313, DOI 10.1177/0194599811427519
   Frank-Ito DO, 2016, J AEROSOL MED PULM D, V29, P46, DOI 10.1089/jamp.2014.1188
   Frank-Ito DO, 2015, AM J RHINOL ALLERGY, V29, P145, DOI 10.2500/ajra.2015.29.4150
   Frank-Ito DO, 2015, COMPUT BIOL MED, V57, P116, DOI 10.1016/j.compbiomed.2014.12.004
   Frank-Ito DO, 2014, OTOLARYNG HEAD NECK, V151, P751, DOI 10.1177/0194599814547497
   Garcia GJM, 2007, J APPL PHYSIOL, V103, P1082, DOI 10.1152/japplphysiol.01118.2006
   Gökcan MK, 2010, LARYNGOSCOPE, V120, P1808, DOI 10.1002/lary.21003
   HIERNAUX J, 1976, HUM BIOL, V48, P757
   Inthavong K, 2006, AEROSOL SCI TECH, V40, P1034, DOI 10.1080/02786820600924978
   Jo G, 2015, RESP PHYSIOL NEUROBI, V219, P58, DOI 10.1016/j.resp.2015.08.006
   Keeler JA, 2016, J AEROSOL MED PULM D, V29, P153, DOI 10.1089/jamp.2014.1205
   Kennedy DW, 2000, LARYNGOSCOPE, V110, P29, DOI 10.1097/00005537-200003002-00008
   Kim SK, 2014, RESP PHYSIOL NEUROBI, V192, P95, DOI 10.1016/j.resp.2013.12.010
   Kimbell JS, 2013, J BIOMECH, V46, P2634, DOI 10.1016/j.jbiomech.2013.08.007
   Kimbell J.S., 2012, AM J RHINOL IN PRESS
   Leach J, 2002, LARYNGOSCOPE, V112, P1903, DOI 10.1097/00005537-200211000-00001
   Lee JH, 2010, RESP PHYSIOL NEUROBI, V172, P136, DOI 10.1016/j.resp.2010.05.010
   Leong SC, 2009, CLIN OTOLARYNGOL, V34, P191, DOI 10.1111/j.1749-4486.2009.01905.x
   Lindemann J, 2002, CLIN OTOLARYNGOL, V27, P135, DOI 10.1046/j.1365-2273.2002.00544.x
   Luo HX, 2009, J ACOUST SOC AM, V126, P816, DOI 10.1121/1.3158942
   Mihaescu M, 2010, J ACOUST SOC AM, V127, P435, DOI 10.1121/1.3271276
   Moghadas H, 2011, RESP PHYSIOL NEUROBI, V177, P9, DOI 10.1016/j.resp.2011.02.011
   Naftali S, 1998, ANN BIOMED ENG, V26, P831, DOI 10.1114/1.108
   Noback ML, 2011, AM J PHYS ANTHROPOL, V145, P599, DOI 10.1002/ajpa.21523
   Nurse LA, 2009, OTOLARYNG CLIN N AM, V42, P295, DOI 10.1016/j.otc.2009.01.009
   OHKI M, 1991, LARYNGOSCOPE, V101, P276
   Piccirillo JF, 2002, OTOLARYNG HEAD NECK, V126, P41, DOI 10.1067/mhn.2002.121022
   Ramprasad VH, 2016, J BIOMECH, V49, P450, DOI 10.1016/j.jbiomech.2016.01.009
   Rhee JS, 2012, ARCH FACIAL PLAST S, V14, P354, DOI 10.1001/archfacial.2012.182
   Rhee JS, 2003, LARYNGOSCOPE, V113, P215, DOI 10.1097/00005537-200302000-00004
   Romo Thomas 3rd, 2003, Facial Plast Surg, V19, P269
   Schroeter J.D., 2008, RESP DRUG DELIVERY 2, P763
   Schroeter JD, 2011, J AEROSOL SCI, V42, P52, DOI 10.1016/j.jaerosci.2010.11.002
   Shadfar S, 2014, JAMA FACIAL PLAST SU, V16, P319, DOI 10.1001/jamafacial.2014.395
   Shang YD, 2015, INHAL TOXICOL, V27, P694, DOI 10.3109/08958378.2015.1088600
   Sidlof P., 2013, EPJ WEB C, V45
   Stewart MG, 2004, OTOLARYNG HEAD NECK, V130, P283, DOI 10.1016/j.otohns.2003.12.004
   Stewart MG, 2004, OTOLARYNG HEAD NECK, V130, P157, DOI 10.1016/j.otohns.2003.09.016
   STOCKS J, 1978, RESP PHYSIOL, V34, P233, DOI 10.1016/0034-5687(78)90031-2
   Sullivan CD, 2014, OTOLARYNG HEAD NECK, V150, P139, DOI 10.1177/0194599813509776
   Tan J, 2012, EUR ARCH OTO-RHINO-L, V269, P881, DOI 10.1007/s00405-011-1771-z
   Taylor DJ, 2010, J R SOC INTERFACE, V7, P515, DOI 10.1098/rsif.2009.0306
   Thomson A, 1923, J R ANTHROPOL INST G, V53, P92, DOI 10.2307/2843753
   Tompos T, 2010, EUR ARCH OTO-RHINO-L, V267, P1887, DOI 10.1007/s00405-010-1278-z
   Wang Y, 2009, ACTA MECH SINICA-PRC, V25, P737, DOI 10.1007/s10409-009-0283-1
   Weiner JS, 1954, AM J PHYS ANTHROP-NE, V12, P615, DOI 10.1002/ajpa.1330120412
   Welch KC, 2009, LARYNGOSCOPE, V119, P2258, DOI 10.1002/lary.20618
   Wen J, 2008, RESP PHYSIOL NEUROBI, V161, P125, DOI 10.1016/j.resp.2008.01.012
   Willatt D, 2009, RHINOLOGY, V47, P227, DOI [10.4193/Rhin.09.017, 10.4193/Rhin09.017]
   WOLPOFF MH, 1968, AM J PHYS ANTHROPOL, V29, P405, DOI 10.1002/ajpa.1330290315
   Wootton DM, 2014, J APPL PHYSIOL, V116, P104, DOI 10.1152/japplphysiol.00746.2013
   Xu C, 2006, J BIOMECH, V39, P2043, DOI 10.1016/j.jbiomech.2005.06.021
   Yokley TR, 2009, AM J PHYS ANTHROPOL, V138, P11, DOI 10.1002/ajpa.20893
   Zhao K., 2011, PLOS ONE, V6
   Zhao K, 2014, INT FORUM ALLERGY RH, V4, P435, DOI 10.1002/alr.21319
   Zubair M, 2012, J MED BIOL ENG, V32, P77, DOI [10.5405/jmbe.873, 10.5405/jmbe.948]
NR 77
TC 21
Z9 23
U1 0
U2 15
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1569-9048
EI 1878-1519
J9 RESP PHYSIOL NEUROBI
JI Respir. Physiol. Neuro.
PD OCT
PY 2016
VL 232
BP 66
EP 74
DI 10.1016/j.resp.2016.07.004
PG 9
WC Physiology; Respiratory System
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Physiology; Respiratory System
GA DW7IO
UT WOS:000383824600009
PM 27431449
DA 2025-01-10
ER

PT J
AU Pullens, JWM
   Kersebaum, KC
   Böttcher, U
   Kage, H
   Olesen, JE
AF Pullens, Johannes Wilhelmus Maria
   Kersebaum, Kurt Christian
   Boettcher, Ulf
   Kage, Henning
   Olesen, Jorgen Eivind
TI Model sensitivity of simulated yield of winter oilseed rape to climate
   change scenarios in Europe
SO EUROPEAN JOURNAL OF AGRONOMY
LA English
DT Article
DE Winter oilseed rape; Climate change; Climate adaptation; Modelling;
   Plant traits
ID BRASSICA-NAPUS L.; HIGH-TEMPERATURE STRESS; SEED YIELD; CROP; GROWTH;
   WATER; IMPACTS; WEATHER; CANOLA; CALIBRATION
AB Winter oilseed rape (WOSR) is Europe's prime oilseed crop and is grown for biofuel and edible oil production. To investigate the effects of climate change on the yield of winter oilseed rape, two crop models (HERMES and HUME-OSR) were used. This study investigated the sensitivity of crop model parameters (as a proxy of plant traits) under climate change. For both models, a global sensitivity analysis was performed under current temperatures, an increase of 2 and 4 degrees C, in combination with -50 %, -25 %, current, +25 % and +50 % precipitation change, resulting in 15 combinations. The analysis was done for six different sites in Europe located in Germany, France, and the Czech Republic. The two models differ in model formalism; however, results show that the most sensitive parameters of WOSR for both models are associated with drought, both under current climatic conditions, and under changing temperatures and precipitation regimes. The sensitivity analysis shows that the most sensitive parameters for WOSR yield under climate change relate to plant traits affecting the growth of the vegetative phase.
C1 [Pullens, Johannes Wilhelmus Maria; Olesen, Jorgen Eivind] Aarhus Univ, Dept Agroecol, Blichers Alle 20, Tjele 8830, Denmark.
   [Kersebaum, Kurt Christian] Leibniz Ctr Agr Landscape Res ZALF, Eberswalder Str 84, D-15374 Muncheberg, Germany.
   [Boettcher, Ulf; Kage, Henning] Univ Kiel, Inst Crop Sci & Plant Breeding, Hermann Rodewald Str 9, D-24118 Kiel, Germany.
   [Kersebaum, Kurt Christian; Olesen, Jorgen Eivind] CAS, Global Change Res Inst, Belidla 986-4b, Brno 60300, Czech Republic.
C3 Aarhus University; Leibniz Association; Leibniz Zentrum fur
   Agrarlandschaftsforschung (ZALF); University of Kiel; Czech Academy of
   Sciences; Global Change Research Centre of the Czech Academy of Sciences
RP Pullens, JWM (corresponding author), Aarhus Univ, Dept Agroecol, Blichers Alle 20, Tjele 8830, Denmark.
EM jwmp@agro.au.dk
RI Pullens, Johannes/L-2135-2019; Olesen, Jørgen/Y-2857-2019; Kage,
   Henning/G-3552-2011; Kersebaum, Kurt Christian/A-7558-2010
OI Kage, Henning/0000-0002-5317-7745; Olesen, Jorgen
   E./0000-0002-6639-1273; Pullens, Jeroen/0000-0003-4581-6444; Kersebaum,
   Kurt Christian/0000-0002-3679-8427
FU EU-FP7; FACCE-JPI; Danish Innovation Foundation; MACSUR project - German
   Federal Ministry of Food and Agriculture (BMEL) [2812ERA147]; SustEs
   project [CZ.02.1.01/0.0/0.0/16_019/0000797]
FX This work was part of SYBRACLIM, a project supported by EU-FP7 and
   FACCE-JPI. JWMP and JEO were funded by the Danish Innovation Foundation.
   KCK was supported by the MACSUR project funded by the German Federal
   Ministry of Food and Agriculture (BMEL, 2812ERA147). JEO and KCK were
   further supported by the SustEs project
   (CZ.02.1.01/0.0/0.0/16_019/0000797). We thank Thomas Drobeck and Uta
   Schnock from the Federal Plant Variety Office (Bun-dessortenamt) for
   providing the data from the German winter oilseed rape variety trials
   and the Agrometeorological Research Station of the German Weather
   Service (DWD) in Braunschweig for the local weather data. The Czech data
   were kindly provided by the State Institute for Agriculture Supervision
   and Testing and compiled by the senior crop specialist Petr Zehnalek.
   The French data is an open-access online publication (Gosse et al.,
   1999).
CR Angadi SV, 2000, CAN J PLANT SCI, V80, P693, DOI 10.4141/P99-152
   [Anonymous], 2008, GLOBAL BIOGEOCHEM CY
   [Anonymous], 2012, CLIMATIC CHANGE, DOI DOI 10.1007/s10584-011-0344-x
   Berry PM, 2006, J AGR SCI-CAMBRIDGE, V144, P381, DOI 10.1017/S0021859606006423
   Bindi M, 2011, REG ENVIRON CHANGE, V11, pS151, DOI 10.1007/s10113-010-0173-x
   Böttcher U, 2020, FIELD CROP RES, V246, DOI 10.1016/j.fcr.2019.107679
   Böttcher U, 2016, CROP PASTURE SCI, V67, P345, DOI 10.1071/CP15321
   Campolongo F, 2007, ENVIRON MODELL SOFTW, V22, P1509, DOI 10.1016/j.envsoft.2006.10.004
   Casadebaig P, 2020, CROP SCI, V60, P709, DOI 10.1002/csc2.20016
   Ciscar J. -C., 2009, JRC WORKING PAPERS
   Corbeels M, 2018, AGR FOREST METEOROL, V256, P46, DOI 10.1016/j.agrformet.2018.02.026
   Diepenbrock W, 2000, FIELD CROP RES, V67, P35, DOI 10.1016/S0378-4290(00)00082-4
   FAOSTAT, 2012, FOOD AGR ORG UN FOOD AGR ORG UN
   Faraji A, 2009, AGR WATER MANAGE, V96, P132, DOI 10.1016/j.agwat.2008.07.014
   Ferreyra RA, 2003, ECOL MODEL, V168, P57, DOI 10.1016/S0304-3800(03)00195-9
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fitt BDL, 2006, EUR J PLANT PATHOL, V114, P3, DOI 10.1007/s10658-005-2233-5
   Flato G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P741
   Gilles P., 2017, SENSITIVITY ANAL
   Gomez NV, 2011, IND CROP PROD, V34, P1277, DOI 10.1016/j.indcrop.2010.07.013
   Gosse G, 1999, AGRONOMIE, V19, P119, DOI 10.1051/agro:19990204
   Habekott e B, 1996, ANAL YIELD FORMATION
   Habekotte B, 1997, FIELD CROP RES, V54, P127, DOI 10.1016/S0378-4290(97)00043-9
   Jabloun M, 2018, AGR FOREST METEOROL, V263, P25, DOI 10.1016/j.agrformet.2018.08.002
   Kersebaum KC, 2014, EUR J AGRON, V52, P22, DOI 10.1016/j.eja.2013.04.005
   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
   Kipling RP, 2019, ENVIRON MODELL SOFTW, V120, DOI 10.1016/j.envsoft.2019.104492
   LANCASHIRE PD, 1991, ANN APPL BIOL, V119, P561, DOI 10.1111/j.1744-7348.1991.tb04895.x
   Madsen MS, 2012, FOOD ADDIT CONTAM A, V29, P1502, DOI 10.1080/19440049.2012.712059
   MENDHAM NJ, 1981, J AGR SCI-CAMBRIDGE, V96, P389, DOI 10.1017/S002185960006617X
   MORRIS MD, 1991, TECHNOMETRICS, V33, P161, DOI 10.2307/1269043
   Muller K, 2009, REMOTE SENSING SIMUL
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Oghan HA, 2018, EUPHYTICA, V214, DOI 10.1007/s10681-018-2169-4
   Porter JR, 2005, PHILOS T R SOC B, V360, P2021, DOI 10.1098/rstb.2005.1752
   Pujol G, 2009, RELIAB ENG SYST SAFE, V94, P1156, DOI 10.1016/j.ress.2008.08.002
   Pullens JWM, 2019, AGR FOREST METEOROL, V272, P30, DOI 10.1016/j.agrformet.2019.03.023
   Qian BD, 2018, AGRON J, V110, P133, DOI 10.2134/agronj2017.02.0076
   R Core Team, 2018, R LANG ENV STAT COMP
   R otter R.P., 2018, PROGR MODELLING AGR PROGR MODELLING AGR
   RACSKO P, 1991, ECOL MODEL, V57, P27, DOI 10.1016/0304-3800(91)90053-4
   Rapacz M, 1999, J AGRON CROP SCI, V183, P243, DOI 10.1046/j.1439-037x.1999.00346.x
   Rashid M, 2018, FIELD CROP RES, V217, P172, DOI 10.1016/j.fcr.2017.10.022
   Robertson MJ, 2002, AUST J AGR RES, V53, P793, DOI 10.1071/AR01182
   Rötter RP, 2018, FIELD CROP RES, V221, P142, DOI 10.1016/j.fcr.2018.02.023
   Rondanini DP, 2012, EUR J AGRON, V37, P56, DOI 10.1016/j.eja.2011.10.005
   Semenov MA, 2010, CLIM RES, V44, P3, DOI 10.3354/cr00865
   Singh HK, 2017, J ENVIRON BIOL, V38, P1405, DOI 10.22438/jeb/38/6/MS-248
   Specka X, 2015, EUR J AGRON, V71, P73, DOI 10.1016/j.eja.2015.08.004
   Thamsiriroj T, 2010, ENERG FUEL, V24, P1720, DOI 10.1021/ef901432g
   The European Parliament and the Council of the European Union, 2009, DIR 2009 28 EC EUR P
   Trnka M, 2011, GLOBAL CHANGE BIOL, V17, P2298, DOI 10.1111/j.1365-2486.2011.02396.x
   Tuck G, 2006, BIOMASS BIOENERG, V30, P183, DOI 10.1016/j.biombioe.2005.11.019
   USDA Gain reports, 2018, EU BIOF ANN 2018 EU BIOF ANN 2018
   van Duren I, 2015, RENEW ENERG, V74, P49, DOI 10.1016/j.renene.2014.07.016
   van Ittersum MK, 2013, FIELD CROP RES, V143, P4, DOI 10.1016/j.fcr.2012.09.009
   Wallach D, 2011, AGRON J, V103, P1144, DOI 10.2134/agronj2010.0432
   Wallor E., 2018, PRECIS AGRIC, P1
   Weber E., 1990, Gesunde Pflanzen, V42, P308
   Weymann W, 2017, EUR J AGRON, V82, P71, DOI 10.1016/j.eja.2016.10.005
   Weymann W, 2015, FIELD CROP RES, V173, P41, DOI 10.1016/j.fcr.2015.01.002
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
NR 63
TC 5
Z9 5
U1 12
U2 39
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 SEP
PY 2021
VL 129
AR 126341
DI 10.1016/j.eja.2021.126341
EA JUL 2021
PG 10
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA TI4IU
UT WOS:000672763400004
OA hybrid
DA 2025-01-10
ER

PT J
AU Hrivnák, M
   Krajmerová, D
   Gömöry, D
AF Hrivnak, Matus
   Krajmerova, Diana
   Gomory, Dusan
TI LACK OF SIGNALS OF SELECTION AT CANDIDATE LOCI AT A SMALL GEOGRAPHICAL
   SCALE ALONG A STEEP ALTITUDINAL GRADIENT IN NORWAY SPRUCE (<i>PICEA
   ABIES</i> [L. KARST.)
SO ACTA BIOLOGICA CRACOVIENSIA SERIES BOTANICA
LA English
DT Article
DE local adaptation; single nucleotide polymorphisms; F-ST outliers;
   spatial analysis method
ID CLIMATIC ADAPTATION; MITOCHONDRIAL-DNA; REGIONAL-SCALE; POPULATIONS;
   GENOMICS; TREES; MARKERS
AB Local adaptation is a key concept in biology: shift of genetic structures of populations due to differential survival of genotypes is expected to lead to phenotypes providing an advantage in the local environment. Variation of sequences of twelve candidate genes was investigated in 13 Norway spruce (Picea abies (L.) Karst.) provenances originating from sites distributed along an altitudinal gradient from 550 to 1300 m a.s.l. Signals of selection were assessed in 103 single nucleotide polymorphisms (SNP). The Bayesian F-ST outlier identification methods as Implemented in the programs BayeScan and Arlequin did not identify any SNP with a clear evidence of selection. The approaches relying on SNP-climate associations (spatial analysis method based on logistic regression of allele frequencies with environmental variables. Bayesian method applied in BayEnv2) identified several relationships but none of them remained significant after correction for multiple testing. Gene flow, epigenetic inheritance and former management of the studied populations are discussed as potential reasons for this weak evidence of selection signals.
C1 [Hrivnak, Matus; Krajmerova, Diana; Gomory, Dusan] Tech Univ Zvolen, Fac Forestry, TG Masaryka 24, Zvolen 96001, Slovakia.
C3 Technical University Zvolen
RP Gömöry, D (corresponding author), Tech Univ Zvolen, Fac Forestry, TG Masaryka 24, Zvolen 96001, Slovakia.
EM gomory@tuzvo.sk
RI Krajmerova, Diana/AAZ-6837-2021; Hrivnák, Matúš/KRP-5669-2024; Gomory,
   Dusan/AAC-5840-2019
OI Gomory, Dusan/0000-0002-9426-4247; Krajmerova, Diana/0000-0003-3837-9397
FU Slovak Research and Development Agency [APVV-16-0306]
FX The study was supported by a grant of the Slovak Research and
   Development Agency no. APVV-16-0306. Technical assistance of Mrs. G.
   Baloghova is greatly appreciated.
CR [Anonymous], 1999, POPGENE version 1.32, Microsoft Window-based free ware for population genetic analysis
   Araújo MB, 2001, CONSERV BIOL, V15, P1710, DOI 10.1046/j.1523-1739.2001.99450.x
   Chmura DJ, 2006, NEW FOREST, V32, P21, DOI 10.1007/s11056-005-3390-2
   Di Pierro EA, 2017, FOREST ECOL MANAG, V405, P350, DOI 10.1016/j.foreco.2017.09.045
   Di Pierro EA, 2016, TREE GENET GENOMES, V12, DOI 10.1007/s11295-016-0972-4
   Doyle J., 1990, Focus, V12, P13
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Excoffier L, 2009, HEREDITY, V103, P285, DOI 10.1038/hdy.2009.74
   EXCOFFIER L, 1992, GENETICS, V131, P479
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Foll M, 2008, GENETICS, V180, P977, DOI 10.1534/genetics.108.092221
   Gömöry D, 2015, EUR J FOREST RES, V134, P89, DOI 10.1007/s10342-014-0835-1
   González-Martínez SC, 2006, NEW PHYTOL, V170, P227, DOI 10.1111/j.1469-8137.2006.01686.x
   Günther T, 2013, GENETICS, V195, P205, DOI 10.1534/genetics.113.152462
   Hamann A, 2013, B AM METEOROL SOC, V94, P1307, DOI 10.1175/BAMS-D-12-00145.1
   Hemery GE, 2008, INT FOREST REV, V10, P591, DOI 10.1505/ifor.10.4.591
   Jansen S, 2017, ANN FOREST SCI, V74, DOI 10.1007/s13595-017-0644-z
   Johnsen O, 2005, PLANT CELL ENVIRON, V28, P1090, DOI 10.1111/j.1365-3040.2005.01356.x
   Joost S, 2007, MOL ECOL, V16, P3955, DOI 10.1111/j.1365-294X.2007.03442.x
   Kupryjanowicz M, 2018, QUATERN INT, V467, P178, DOI 10.1016/j.quaint.2017.08.034
   Lamothe M, 2006, MOL ECOL NOTES, V6, P237, DOI 10.1111/j.1471-8286.2005.01205.x
   LESICA P, 1995, CONSERV BIOL, V9, P753, DOI 10.1046/j.1523-1739.1995.09040753.x
   Máchová P, 2018, FORESTS, V9, DOI 10.3390/f9020092
   Matyas C, 1996, EUPHYTICA, V92, P45, DOI 10.1007/BF00022827
   Neale DB, 2008, CURR OPIN PLANT BIOL, V11, P149, DOI 10.1016/j.pbi.2007.12.004
   Neale DB, 2011, NAT REV GENET, V12, P111, DOI 10.1038/nrg2931
   Oleksyn J, 1998, FUNCT ECOL, V12, P573, DOI 10.1046/j.1365-2435.1998.00236.x
   PARSONS PA, 1989, ANNU REV ECOL SYST, V20, P29, DOI 10.1146/annurev.es.20.110189.000333
   Pritchard JK, 2000, GENETICS, V155, P945
   Prunier J, 2016, NEW PHYTOL, V209, P44, DOI 10.1111/nph.13565
   Prunier J, 2011, MOL ECOL, V20, P1702, DOI 10.1111/j.1365-294X.2011.05045.x
   Romsáková I, 2012, BIOLOGIA, V67, P909, DOI 10.2478/s11756-012-0077-y
   Sabatini FM, 2018, DIVERS DISTRIB, V24, P1426, DOI 10.1111/ddi.12778
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Scalfi M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0115499
   Schneider S., 2000, ARLEQUIN SOFTWARE PO
   Scotti I, 2006, ANN FOREST SCI, V63, P485, DOI 10.1051/forest:2006029
   Stucki S, 2017, MOL ECOL RESOUR, V17, P1072, DOI 10.1111/1755-0998.12629
   Tollefsrud MM, 2008, MOL ECOL, V17, P4134, DOI 10.1111/j.1365-294X.2008.03893.x
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
   Wright S, 1931, GENETICS, V16, P0097
   Yakovlev IA, 2010, NEW PHYTOL, V187, P1154, DOI 10.1111/j.1469-8137.2010.03341.x
NR 42
TC 4
Z9 4
U1 1
U2 11
PU POLSKA AKAD NAUK, POLISH ACAD SCIENCES, PAS BRANCH CRACOW
PI WARSZAWA
PA PL DEFILAD 1, 00-901 WARSZAWA, POLAND
SN 0001-5296
EI 1898-0295
J9 ACTA BIOL CRACOV BOT
JI Acta Biol. Crac. Ser. Bot.
PY 2019
VL 61
IS 1
BP 43
EP +
DI 10.24425/abcsb.2019.127740
PG 44
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA IG1AN
UT WOS:000473522300007
OA gold
DA 2025-01-10
ER

PT J
AU Wahl, T
   Chambers, DP
AF Wahl, Thomas
   Chambers, Don P.
TI Climate controls multidecadal variability in U. S. extreme sea level
   records
SO JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
LA English
DT Article
DE return water levels; multidecadal variability; U; S; coastline;
   large-scale climate variations; statistical modeling
ID OSCILLATION; STORMINESS; 20TH-CENTURY; IMPACTS; EVENTS; COAST
AB We investigate the links between multidecadal changes in extreme sea levels (expressed as 100 year return water levels (RWLs)) along the United States coastline and large-scale climate variability. We develop different sets of simple and multiple linear regression models using both traditional climate indices and tailored indices based on nearby atmospheric/oceanic variables (winds, pressure, sea surface temperature) as independent predictors. The models, after being tested for spatial and temporal stability, are capable of explaining large fractions of the observed variability, up to 96% at individual sites and more than 80% on average across the region. Using the model predictions as covariates in a quasi nonstationary extreme value analysis also significantly reduces the range of change in the 100 year RWLs over time, turning a nonstationary process into a stationary one. This suggests that the modelswhen used with regional and global climate model output of the predictorswill also be capable of projecting future RWL changes. Such information is highly relevant for decision makers in the climate adaptation context in addition to projections of long-term sea level rise.
C1 [Wahl, Thomas; Chambers, Don P.] Univ S Florida, Coll Marine Sci, St Petersburg, FL 33701 USA.
C3 State University System of Florida; University of South Florida
RP Wahl, T (corresponding author), Univ S Florida, Coll Marine Sci, St Petersburg, FL 33701 USA.
EM thomaswahl@mail.usf.edu
RI Wahl, Thomas/ABE-6405-2020
FU German Academic Exchange Service (DAAD); NASA Interdisciplinary Science
FX T.W. was supported by a fellowship within the postdoctoral program of
   the German Academic Exchange Service (DAAD). D.P.C was supported under a
   grant from the NASA Interdisciplinary Science Sponsored Research
   program. The tide gauge data used in W15 to obtain the RWL time series
   used here are freely accessible through the University of Hawaii Sea
   Level Center database (uhslc.soest.hawaii.edu/data/) and NOAA's Tides
   and Currents website (http://tidesandcurrents.noaa.gov/). Climate
   indices were derived from the website of the Global Climate Observing
   System (GCOS) Working Group on Surface Pressure (WG-SP)
   (http://www.esrl.noaa.gov/psd/gcos); the station-based NAO was
   downloaded from NCAR/UCAR's Climate Data Guide website:
   https://climatedataguide.ucar.edu/. Sea surface temperature (ERSST v3b),
   as well as sea level pressure, and wind data from the 20th Century
   Reanalysis Project were downloaded from NOAA's Physical Sciences
   Division website: http://www.esrl.noaa.gov/psd/. We are grateful to
   Francisco M. Calafat for calculating and providing the wind stress curl
   data.
CR [Anonymous], HURRICANES THEIR NAT
   Bernhardt JE, 2012, NAT HAZARDS, V61, P1463, DOI 10.1007/s11069-011-0078-0
   Bromirski PD, 2003, J CLIMATE, V16, P982, DOI 10.1175/1520-0442(2003)016<0982:SVATCC>2.0.CO;2
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS21, DOI 10.1007/s10584-007-9377-6
   Church J.A., 2013, CLIMATE CHANGE 2013, DOI [10.1017/CBO9781107415324.026, DOI 10.1017/CBO9781107415324.026]
   Compo GP, 2011, Q J ROY METEOR SOC, V137, P1, DOI 10.1002/qj.776
   Dangendorf S, 2014, J CLIMATE, V27, P3582, DOI 10.1175/JCLI-D-13-00427.1
   Elsner JB, 2003, B AM METEOROL SOC, V84, P353, DOI 10.1175/BAMS-84-3-353
   Enfield DB, 2001, GEOPHYS RES LETT, V28, P2077, DOI 10.1029/2000GL012745
   Grinsted A, 2013, P NATL ACAD SCI USA, V110, P5369, DOI 10.1073/pnas.1209980110
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676
   Jaccard J., 1990, Paper series on Quantitative Applications in the Social Sciences, V72, P7
   Kennedy AJ, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2006JC003904
   Komar PD, 2011, J COASTAL RES, V27, P808, DOI [10.2112/JCOASTRES-D-10-000116.1, 10.2112/JCOASTRES-D-10-00116.1]
   Mantua NJ, 1997, B AM METEOROL SOC, V78, P1069, DOI 10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2
   Marcos M, 2015, J GEOPHYS RES-OCEANS, V120, P8115, DOI 10.1002/2015JC011173
   Méndez FJ, 2007, J ATMOS OCEAN TECH, V24, P894, DOI 10.1175/JTECH2009.1
   Park J, 2010, OCEAN SCI, V6, P587, DOI 10.5194/os-6-587-2010
   Park J, 2010, J WATERW PORT COAST, V136, P350, DOI 10.1061/(ASCE)WW.1943-5460.0000052
   Rayner NA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002670
   Ropelewski C. F., 1987, MON WEATHER REV, P2161
   Serafin KA, 2014, J GEOPHYS RES-OCEANS, V119, P6305, DOI 10.1002/2014JC010093
   Sweet WV, 2011, MON WEATHER REV, V139, P2290, DOI 10.1175/MWR-D-10-05043.1
   Talke SA, 2014, GEOPHYS RES LETT, V41, P3149, DOI 10.1002/2014GL059574
   Thompson DWJ, 1998, GEOPHYS RES LETT, V25, P1297, DOI 10.1029/98GL00950
   Thompson PR, 2013, J CLIMATE, V26, P9713, DOI 10.1175/JCLI-D-12-00561.1
   TRENBERTH KE, 1994, CLIM DYNAM, V9, P303, DOI 10.1007/BF00204745
   Wahl T, 2015, J GEOPHYS RES-OCEANS, V120, P1527, DOI 10.1002/2014JC010443
   Zhang R, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL031601
NR 29
TC 55
Z9 58
U1 0
U2 27
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2169-9275
EI 2169-9291
J9 J GEOPHYS RES-OCEANS
JI J. Geophys. Res.-Oceans
PD FEB
PY 2016
VL 121
IS 2
BP 1274
EP 1290
DI 10.1002/2015JC011057
PG 17
WC Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Oceanography
GA DH9RX
UT WOS:000373134600015
OA Bronze, Green Accepted
DA 2025-01-10
ER

PT J
AU Rohmer, C
   David, JR
   Moreteau, B
   Joly, D
AF Rohmer, C
   David, JR
   Moreteau, B
   Joly, D
TI Heat induced male sterility in <i>Drosophila melanogaster</i>:: adaptive
   genetic variations among geographic populations and role of the Y
   chromosome
SO JOURNAL OF EXPERIMENTAL BIOLOGY
LA English
DT Article
DE heat stress; geographic race; heat tolerance; spermatogenesis; climatic
   adaptation; Drosophila
ID ADAPTATION; FERTILITY; SPERMATOGENESIS; TEMPERATURE
AB We analyzed genetic variation among geographically diverse populations of Drosophila and showed that tropical flies are more tolerant than temperate ones to heat-induced male sterility, as assessed by the presence of both motile sperm and progeny production. In tropical populations, the temperature inducing 50% sterility (median threshold) is 1 C above the value for temperate populations (30.4 vs. 29.4degreesC). When transferred to a mild permissive temperature (21 C), males recover fertility. Recovery time is proportional to pre-adult culture temperature. At these temperatures, recovery time is greater for temperate than for tropical populations. Crosses between a temperate and a tropical strain (F-1, F-2 and successive backcrosses) revealed that the Y chromosome was responsible for much of the geographic variation. Sterile males exhibited diverse abnormalities in the shape and position of sperm nuclei. However, impairment of the spermatid elongation seems to be the major factor responsible for sperm inviability. Heat-induced male sterility seems to be quite a general phenomenon in Drosophilid species and variation of threshold temperatures may be important for explaining their geographic distributions.
C1 CNRS, UPR 9034, Lab Populat Genet & Evolut, F-91198 Gif Sur Yvette, France.
C3 Universite Paris Saclay; Centre National de la Recherche Scientifique
   (CNRS)
RP CNRS, UPR 9034, Lab Populat Genet & Evolut, Ave Terrasse, F-91198 Gif Sur Yvette, France.
EM joly@pge.cnrs-gif.fr
CR ANDREWARTHA HG, 1960, ANNU REV ENTOMOL, V5, P219, DOI 10.1146/annurev.en.05.010160.001251
   [Anonymous], 1954, The distribution and abundance of animals, DOI DOI 10.1111/BRV
   [Anonymous], 1983, The genetics and biology of Drosophila
   Araripe LO, 2004, J THERM BIOL, V29, P73, DOI 10.1016/j.jtherbio.2003.11.006
   Carvalho AB, 2000, P NATL ACAD SCI USA, V97, P13239, DOI 10.1073/pnas.230438397
   Carvalho AB, 2001, P NATL ACAD SCI USA, V98, P13225, DOI 10.1073/pnas.231484998
   Chakir M, 2002, GENETICA, V114, P195, DOI 10.1023/A:1015154329762
   Cossins A. R., 1987, Temperature biology of animals.
   DAVID J, 1971, CR ACAD SCI D NAT, V272, P1007
   DAVID JEAN, 1965, BULL BIOL FRANCE BELG, V99, P369
   DAVID JR, 1988, TRENDS GENET, V4, P106, DOI 10.1016/0168-9525(88)90098-4
   Gibert P, 1998, J GENET, V77, P13, DOI 10.1007/BF02933036
   HARDY RW, 1981, CHROMOSOMA, V83, P593, DOI 10.1007/BF00328522
   Hoffmann A. A., 1997, EXTREME ENV CHANGE E
   Hoffmann AA, 2003, J THERM BIOL, V28, P175, DOI 10.1016/S0306-4565(02)00057-8
   Hoffmann Ary A., 1991, Evolutionary Genetics and Environmental Stress
   JOLY D, 1989, GENET SEL EVOL, V21, P283, DOI 10.1051/gse:19890305
   KENNISON JA, 1981, GENETICS, V98, P529
   LEATHER S, 1993, ECOLOGY INSECTS OVER
   Lindsley D.L., 1980, Genetics and Biology of Drosophila, V2d, P225
   Moreteau B, 1997, CR ACAD SCI III-VIE, V320, P833, DOI 10.1016/S0764-4469(97)85020-2
   PARSONS PA, 1973, ANNU REV GENET, V7, P239, DOI 10.1146/annurev.ge.07.120173.001323
   PRECHT H, 1973, P779
   Rajendra TK, 2001, J GENET, V80, P97, DOI 10.1007/BF02728335
   Rockett JC, 2001, BIOL REPROD, V65, P229, DOI 10.1095/biolreprod65.1.229
   Sokal R. R., 1995, Biometry: The Principles of Statistics in Biological Research
   Vollmer JH, 2004, HEREDITY, V92, P257, DOI 10.1038/sj.hdy.6800405
   Yue L, 1999, GENETICS, V151, P1065
   Zatsepina OG, 2001, J EXP BIOL, V204, P1869
   Zurovcova M, 1999, GENETICS, V153, P1709
NR 30
TC 140
Z9 157
U1 0
U2 33
PU COMPANY BIOLOGISTS LTD
PI CAMBRIDGE
PA BIDDER BUILDING, STATION RD, HISTON, CAMBRIDGE CB24 9LF, ENGLAND
SN 0022-0949
EI 1477-9145
J9 J EXP BIOL
JI J. Exp. Biol.
PD JUL
PY 2004
VL 207
IS 16
BP 2735
EP 2743
DI 10.1242/jeb.01087
PG 9
WC Biology; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Zoology
GA 848HP
UT WOS:000223458500006
PM 15235002
DA 2025-01-10
ER

PT J
AU Lind, T
   Lönnberg, B
   Persson, E
   Elowson, T
   Elsander, A
AF Lind, T
   Lönnberg, B
   Persson, E
   Elowson, T
   Elsander, A
TI Dry-storage and water sprinkling of spruce pulpwood.: Part 1.: Effects
   on wood properties
SO PAPERI JA PUU-PAPER AND TIMBER
LA Finnish
DT Article
DE Norway spruce; sprinkling; wood yard; moisture content; wood properties;
   wood storage; blue-stain
ID L. KARST. PULPWOOD; WET STORAGE; BRIGHTNESS STABILITY; MECHANICAL PULPS;
   MOISTURE-CONTENT; NORWAY SPRUCE; BLEACHABILITY
AB The sprinkling of pulpwood logs can be done using a recently developed method, i.e. the climate-adapted sprinkling system. Four storage alternatives were evaluated experimentally, namely sprinkled (sprinkling intensity 150% of the calculated evaporation from the logs) and dry-stored storage of debarked and non-debarked spruce pulpwood logs. Samples were collected at various stages during the course of the experiment.
   The sprinkling intensity used in the experiment prevented efficiently drying-out of the logs. It also prevented blue-stain caused by fungal infections. Dry-stored logs had significantly lower and more inhomogeneous moisture content. The initial fresh-log moisture content could be preserved at an acceptable level (above 50%) by sprinkling the logs during the entire storage (eight weeks), whereas dry-stored logs lost remarkable quantities of moisture already after four weeks of storage. Accordingly the drying-out of dry-stored, debarked logs was even more pregnant. Sprinkled logs had somewhat lower bark-to-wood bonding strength than the dry-stored logs.
C1 Akad Univ, Lab Pulping Technol, FI-20500 Turku, Finland.
   Univ Agr Sci Uppsala, Dept Forest Prod & Markets, S-75007 Uppsala, Sweden.
   Stora Enso Kvarnsveden, S-78127 Borlange, Sweden.
C3 Swedish University of Agricultural Sciences
RP Lind, T (corresponding author), Akad Univ, Lab Pulping Technol, Porthansgatan 3, FI-20500 Turku, Finland.
CR [Anonymous], 47 ROYAL COLL FOR DE
   BERGQUIST J, 2001, THESIS ABO AKAD U
   BEYER G, 1983, MEDDELANDE A, V854
   Borga P, 1996, ENVIRON TOXICOL CHEM, V15, P856, DOI 10.1002/etc.5620150606
   DEMONTMORENCY WH, 1964, PULP PAP MAG CAN, pT235
   Duchesne I, 1996, FOREST PROD J, V46, P57
   Elowsson T, 1995, FOREST PROD J, V45, P36
   FREDRIKSON T, 2001, SKOGSBRUKET, V71, P12
   FREDRIKSON T, 2001, SKOGSBRUKET, V71, P30
   KUBLER H, 1990, FOREST PROD J, V40, P25
   LIND T, 2003, P INT MECH PULP C 20
   LIND T, 2004, P 58 APP ANN C EXH C
   Liukko K, 1999, SCAND J FOREST RES, V14, P156, DOI 10.1080/02827589950152881
   LIUKKO K, 1997, THESIS SWEDISH U AGR, P12
   LORAS V, 1974, NORSK SKOGIND, V28, P121
   LORAS V, 1974, NORSK SKOGIND, V28, P158
   LORAS V, 1974, TAPPI, V57, P98
   OMAN M, 2000, THESIS SWEDISH U AGR, P11
   Persson E, 2001, PAP PUU-PAP TIM, V83, P132
   SOILA R, 1971, PAPERI PUU, V52, P433
NR 20
TC 4
Z9 4
U1 1
U2 11
PU FINNISH PAPER TIMBER
PI HELSINKI
PA SNELLMANINKATU 13, PL PO BOX 155, FIN-00171 HELSINKI, FINLAND
SN 0031-1243
J9 PAP PUU-PAP TIM
JI Pap. Ja Puu-Pap. Timber
PY 2004
VL 86
IS 6
BP 450
EP +
PG 5
WC Materials Science, Paper & Wood
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Materials Science
GA 862GQ
UT WOS:000224479100017
DA 2025-01-10
ER

PT J
AU Parsons, LA
   Lo, F
   Ward, A
   Shindell, D
   Raman, SR
AF Parsons, L. A.
   Lo, F.
   Ward, A.
   Shindell, D.
   Raman, S. R.
TI Higher Temperatures in Socially Vulnerable US Communities Increasingly
   Limit Safe Use of Electric Fans for Cooling
SO GEOHEALTH
LA English
DT Article
DE climate change; climate justice; climate adaptation; heat hazard;
   vulnerability; climate impacts
ID HEAT-RELATED ILLNESS; EXTREME HEAT; HOT WEATHER; MORTALITY; MORBIDITY;
   RESPONSES; STATES
AB As the globe warms, people will increasingly need affordable, safe methods to stay cool and minimize the worst health impacts of heat exposure. One of the cheapest cooling methods is electric fans. Recent research has recommended ambient air temperature thresholds for safe fan use in adults. Here we use hourly weather reanalysis data (1950-2021) to examine the temporal and spatial evolution of ambient climate conditions in the continental United States (CONUS) considered safe for fan use, focusing on high social vulnerability index (SVI) regions. We find that although most hours in the day are safe for fan use, there are regions that experience hundreds to thousands of hours per year that are too hot for safe fan use. Over the last several decades, the number of hours considered unsafe for fan use has increased across most of the CONUS (on average by similar to 70%), with hotspots across the US West and South, suggesting that many individuals will increasingly need alternative cooling strategies. People living in high-SVI locations are 1.5-2 times more likely to experience hotter climate conditions than the overall US population. High-SVI locations also experience higher rates of warming that are approaching and exceeding important safety thresholds that relate to climate adaptation. These results highlight the need to direct additional resources to these communities for heat adaptive strategies.
   Plain Language Summary As the globe warms, use of electric fans can help people stay cool if they can remain hydrated and if temperatures are low enough. Yet, there are limits to how hot it can be to safely use a fan because when temperatures are too high, a fan will increase the amount of heat traveling over the skin. We use data based on historical meteorological observations to study the number of hours in the continental US that exceed recommended temperature thresholds for safe fan use. We also examine where climate conditions considered unsafe for fan use overlap with socially vulnerable communities. We find that the geographic extent of temperatures too high for safe fan use is expanding, and the number of safe hours is decreasing. In the last two decades people have experienced double the number of hours with outdoor temperatures that are too hot for safe fan use compared to 50-70 years ago. Additionally, communities in socially vulnerable areas are experiencing higher rates of increases in unsafe hours than the overall population. Locations of particular concern include the southern and western US, highlighting the need to direct resources to invest in alternative forms of cooling in these regions.
C1 [Parsons, L. A.; Shindell, D.] Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA.
   [Parsons, L. A.] Nature Conservancy, Global Sci, Durham, NC 27708 USA.
   [Lo, F.] Environm Def Fund, New York, NY USA.
   [Ward, A.] Duke Univ, Nicholas Inst Energy Environm & Sustainabil, Durham, NC USA.
   [Raman, S. R.] Duke Univ, Populat Hlth Sci, Durham, NC USA.
C3 Duke University; Nature Conservancy; Environmental Defense Fund; Duke
   University; Duke University
RP Parsons, LA (corresponding author), Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA.; Parsons, LA (corresponding author), Nature Conservancy, Global Sci, Durham, NC 27708 USA.
EM luke.parsons@tnc.org
RI ; Shindell, Drew/D-4636-2012
OI Ward, Ashley/0000-0001-5429-4081; Shindell, Drew/0000-0003-1552-4715
FU L Parsons conducted most of the research at Duke University, but we
   thank The Nature Conservancy for funding and support. We also thank P
   Goddard for discussions and scientific input. This work contains
   modified Copernicus Climate Change Service Informatio; Nature
   Conservancy
FX L Parsons conducted most of the research at Duke University, but we
   thank The Nature Conservancy for funding and support. We also thank P
   Goddard for discussions and scientific input. This work contains
   modified Copernicus Climate Change Service Information (ERA5 data). The
   CDC SVI and GPWv4 data were developed by the Center for International
   Earth Science Information Network (CIESIN), Columbia University and were
   obtained from the NASA Socioeconomic Data and Applications Center
   (SEDAC).
CR Alizadeh MR, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002488
   Basu R, 2009, ENVIRON HEALTH-GLOB, V8, DOI 10.1186/1476-069X-8-40
   Berke P, 2015, J AM PLANN ASSOC, V81, P287, DOI 10.1080/01944363.2015.1093954
   Bunker A, 2016, EBIOMEDICINE, V6, P258, DOI 10.1016/j.ebiom.2016.02.034
   Center for International Earth Science Information Network - CIESIN - Columbia University, 2017, NASA SEDAC
   Center for International Earth Science Information Network - CIESIN - Columbia University, 2021, NASA SEDAC, DOI 10.7927/6s2a-9r49
   Center for International Earth Science Information Network - CIESIN - Columbia University, 2018, NASA SEDAC
   Chakraborty T, 2022, AGU ADV, V3, DOI 10.1029/2022AV000729
   Cheshire WP, 2008, DRUG SAFETY, V31, P109, DOI 10.2165/00002018-200831020-00002
   Cvijanovic I, 2023, NPJ CLIM ATMOS SCI, V6, DOI 10.1038/s41612-023-00346-x
   Ebi KL, 2021, LANCET, V398, P698, DOI 10.1016/S0140-6736(21)01208-3
   Field C.B., 2012, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: A Special Report of the Intergovernmental Panel on Climate Change, P1
   Gagnon D, 2017, MED SCI SPORT EXER, V49, P2333, DOI 10.1249/MSS.0000000000001348
   Gasparrini A, 2015, LANCET, V386, P369, DOI 10.1016/S0140-6736(14)62114-0
   Gilbert R., 1987, Statistical Methods for Environmental Pollution Monitoring, VVolume 320
   Guo YM, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002629
   Hersbach H., ERA5 HOURLY DATA SIN, DOI [10.24381/cds.adbb2d47, 10.24381/cds. adbb2d47, 10.24381]
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hoffman JS, 2020, CLIMATE, V8, DOI 10.3390/cli8010012
   Hou RHH, 2006, BRIT J CLIN PHARMACO, V61, P752, DOI 10.1111/j.1365-2125.2006.02632.x
   Howe PD, 2019, P NATL ACAD SCI USA, V116, P6743, DOI 10.1073/pnas.1813145116
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Hussain Md., 2019, Journal of Open Source Software, V4, P1556, DOI [DOI 10.21105/JOSS.01556, 10.21105/joss.01556]
   Inoue Y, 1996, EUR J APPL PHYSIOL O, V74, P78, DOI 10.1007/BF00376498
   Jay O, 2021, LANCET, V398, P709, DOI 10.1016/S0140-6736(21)01209-5
   Kachru N, 2015, DRUG AGING, V32, P379, DOI 10.1007/s40266-015-0257-x
   Keith L, 2022, PAS Report 600, P101
   Kendall M. G., 1948, Rank correlation methods.
   Kovach MM, 2015, APPL GEOGR, V60, P175, DOI 10.1016/j.apgeog.2015.03.012
   Lehnert EA, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101517
   Lim J, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11060558
   Liss A, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7412-5
   Lockery JE, 2021, J GEN INTERN MED, V36, P1629, DOI 10.1007/s11606-020-06550-2
   Malik A, 2022, LANCET PLANET HEALTH, V6, pE301, DOI 10.1016/S2542-5196(22)00042-0
   MANN HB, 1947, ANN MATH STAT, V18, P50, DOI 10.1214/aoms/1177730491
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Manware M, 2022, GEOHEALTH, V6, DOI 10.1029/2022GH000695
   Mateyka PJ., 2022, U.S. Census Bureau Report
   McGregor G.R., 2015, Heatwaves and health: guidance on warning-system development
   Mistry MN, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-09049-4
   Morano LH, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13060551
   Morris NB, 2021, LANCET PLANET HEALTH, V5, pE368, DOI 10.1016/S2542-5196(21)00136-4
   Murage P., 2017, Environmental Epidemiology, V1, DOI [10.1097/EE9.0000000000000005, 10.1097/ee9.0000000000000005.]
   National Weather Service N. O. A. A. A., 2023, WEATH REL FAT INJ ST
   Park J, 2018, ENVIRON DEV ECON, V23, P349, DOI 10.1017/S1355770X1800013X
   Parsons L., 2023, ZENODO, DOI [10.5281/ZENODO.7901366, DOI 10.5281/ZENODO.7901366]
   Rogers CDW, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL094183
   Rosenthal JK, 2014, HEALTH PLACE, V30, P45, DOI 10.1016/j.healthplace.2014.07.014
   Sailor DJ, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0bb9
   Schmeltz MT, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13090894
   Shandas V, 2019, CLIMATE, V7, DOI 10.3390/cli7010005
   Sheffield PE, 2018, PUBLIC HEALTH, V161, P119, DOI 10.1016/j.puhe.2018.06.004
   Song XP, 2017, SCI TOTAL ENVIRON, V586, P241, DOI 10.1016/j.scitotenv.2017.01.212
   Tartarini F, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108437
   Vicedo-Cabrera AM, 2021, NAT CLIM CHANGE, V11, P492, DOI 10.1038/s41558-021-01058-x
   Voelkel J, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040640
   Wald A, 2019, NURS ECON, V37, P35
   Weinberger KR, 2020, ENVIRON EPIDEMIOL, V4, DOI 10.1097/EE9.0000000000000096
   Weinberger KR, 2017, ENVIRON INT, V107, P196, DOI 10.1016/j.envint.2017.07.006
   Yu WW, 2012, INT J BIOMETEOROL, V56, P569, DOI 10.1007/s00484-011-0497-3
NR 60
TC 5
Z9 6
U1 1
U2 5
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2471-1403
J9 GEOHEALTH
JI GeoHealth
PD AUG
PY 2023
VL 7
IS 8
AR e2023GH000809
DI 10.1029/2023GH000809
PG 13
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA Q7GL4
UT WOS:001059168800002
PM 37577109
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Zhu, GF
   Qin, DH
   Ren, JW
   Liang, F
   Tong, HL
AF Zhu Guofeng
   Qin Dahe
   Ren Jiawen
   Liang Feng
   Tong Huali
TI Assessment of perception and adaptation to climate-related glacier
   changes in the arid Rivers Basin in northwestern China
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID HYDROLOGICAL RESPONSE; ADAPTIVE CAPACITY; VULNERABILITY; DEGRADATION;
   UNCERTAINTY; FUTURE
AB In many mountainous areas of the world, glaciers serve as a source of fresh water that is of critical importance and contributes to the sustainability of agriculture and other socio-economic activities. An enhanced understanding of socio-economic consequences of the climate-related glacier changes is essential to the identification of vulnerable entities and the development of well-targeted environmental adaptation policies. A questionnaire and interviews of farmers in the Heihe River Basin were used to analyze their perception of cryospheric changes, attitudes towards mitigation of cryospheric changes, and the ways in which they perceived their responsibility. Preferred responses and interventions for cryospheric change and views on responsible parties were also collected and evaluated. Our investigation revealed that most rural residents were concerned about glacier changes and believed they would bring harm to present society, individuals, and families, as well as to future generations. The respondents' perceptions were mainly influenced by the mass media. Most respondents tended to favor adaptation measures implemented by the government and other policy-making departments. An integrated approach will be needed to deal with the challenges to tackling climate-related glacier change.
C1 [Zhu Guofeng; Liang Feng; Tong Huali] Northwest Normal Univ, Coll Geog & Environm Sci, 967 East Rd, Lanzhou 730070, Gansu, Peoples R China.
   [Zhu Guofeng; Qin Dahe; Ren Jiawen] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryosphere Sci, Lanzhou 730000, Gansu, Peoples R China.
C3 Northwest Normal University - China; Chinese Academy of Sciences
RP Zhu, GF (corresponding author), Northwest Normal Univ, Coll Geog & Environm Sci, 967 East Rd, Lanzhou 730070, Gansu, Peoples R China.; Zhu, GF (corresponding author), Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryosphere Sci, Lanzhou 730000, Gansu, Peoples R China.
EM gfzhu@lzb.ac.cn
RI Jiawen, Ren/K-7734-2012; Zhu, Guofeng/AAP-4570-2020
FU Chinese Postdoctoral Science Foundation [2016T90961, 2015M570864];
   National Natural Science Foundation of China [41661005, 41273010,
   41361106]; Project of Major National Research Projects of China
   [2013CBA01808]
FX We gratefully acknowledge support from the Chinese Postdoctoral Science
   Foundation (2016T90961, 2015M570864), National Natural Science
   Foundation of China (41661005), National Natural Science Foundation of
   China (41273010, 41361106), and Project of Major National Research
   Projects of China (2013CBA01808).
CR Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Arbuckle K M., 2013, AUSTR NZ GRAPEGROWER
   Armitage D., 2012, CONSERV LETT, P1
   Balasubramanian TN, 2007, J AGROMETEOROL, V9, P129
   Bury JT, 2011, CLIMATIC CHANGE, V105, P179, DOI 10.1007/s10584-010-9870-1
   CHAMBERS R, 1994, WORLD DEV, V22, P953, DOI 10.1016/0305-750X(94)90141-4
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Dohmen T, 2009, ECON J, V119, P592, DOI 10.1111/j.1468-0297.2008.02242.x
   Editorial Board of Gansu Yearbook, 2011, GANS YB 1980 2010
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Gbetibouo GA, 2010, NAT RESOUR FORUM, V34, P175, DOI 10.1111/j.1477-8947.2010.01302.x
   Gerger Swartling A, 2011, 5 SEI MISTR SWECIA
   Geyer J, 2015, REG ENVIRON CHANGE, V15, P139, DOI 10.1007/s10113-014-0609-9
   Ghahramani A, 2015, AGR ECOSYST ENVIRON, V211, P112, DOI 10.1016/j.agee.2015.05.011
   Glaas E, 2015, URBAN CLIM, V14, P41, DOI 10.1016/j.uclim.2015.07.003
   Goebbert K, 2012, WEATHER CLIM SOC, V4, P132, DOI 10.1175/WCAS-D-11-00044.1
   Guo DL, 2012, INT J CLIMATOL, V32, P1775, DOI 10.1002/joc.2388
   Hagg W, 2007, J HYDROL, V332, P40, DOI 10.1016/j.jhydrol.2006.06.021
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hegglin E, 2015, MOUNTAIN RES DEV, V28, P299
   Iglesias A, 2011, EUR REV AGRIC ECON, V38, P427, DOI 10.1093/erae/jbr037
   Jiricka A, 2016, ENVIRON IMPACT ASSES, V57, P78, DOI 10.1016/j.eiar.2015.11.010
   Kahan D.M., 2008, HDB RISK THEORY EPIS, P725, DOI [10.1007/978-94-007-1433-5_28, DOI 10.1007/978-94-007-1433-5_28]
   Kuhlicke C, 2016, GLOBAL ENVIRON CHANG, V37, P56, DOI 10.1016/j.gloenvcha.2016.01.007
   [刘时银 Liu Shiyin], 2015, [地理学报, Acta Geographica Sinica], V70, P3
   Malone E, 2008, CLIMATIC CHANGE, V91, P451, DOI 10.1007/s10584-008-9472-3
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Qi SZ, 2005, ENVIRON MONIT ASSESS, V108, P205, DOI 10.1007/s10661-005-3912-6
   Rangecroft S, 2016, CLIMATIC CHANGE, V137, P231, DOI 10.1007/s10584-016-1655-8
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Stahl K, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR005956
   Sun Meiping, 2018, Journal of Geographical Sciences, V28, P206, DOI 10.1007/s11442-018-1468-y
   Sun MP, 2013, ECOHYDROLOGY, V6, P909, DOI 10.1002/eco.1272
   Wang J, 2010, HYDROL EARTH SYST SC, V14, P1979, DOI 10.5194/hess-14-1979-2010
   Wheeler S, 2013, GLOBAL ENVIRON CHANG, V23, P537, DOI 10.1016/j.gloenvcha.2012.11.008
   Wu F, 2015, PHYS CHEM EARTH, V79-82, P11, DOI 10.1016/j.pce.2014.08.002
   Yang MX, 2010, EARTH-SCI REV, V103, P31, DOI 10.1016/j.earscirev.2010.07.002
   Yang Z., 2000, HYDROLOGY COLD REGIO
   Yao TD, 2010, CHINESE SCI BULL, V55, P2072, DOI 10.1007/s11434-010-3213-5
NR 39
TC 9
Z9 9
U1 2
U2 25
PU SPRINGER WIEN
PI WIEN
PA SACHSENPLATZ 4-6, PO BOX 89, A-1201 WIEN, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD JUL
PY 2018
VL 133
IS 1-2
BP 243
EP 252
DI 10.1007/s00704-017-2181-y
PG 10
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Meteorology & Atmospheric Sciences
GA GK5VC
UT WOS:000436245600020
DA 2025-01-10
ER

PT J
AU Mojica, JP
   Mullen, J
   Lovell, JT
   Monroe, JG
   Paul, JR
   Oakley, CG
   Mckay, JK
AF Mojica, Julius P.
   Mullen, Jack
   Lovell, John T.
   Monroe, J. Grey
   Paul, John R.
   Oakley, Christopher G.
   McKay, John K.
TI Genetics of water use physiology in locally adapted <i>Arabidopsis
   thaliana</i>
SO PLANT SCIENCE
LA English
DT Article
DE Water-stress; QTL; Plasticity; Constitutive; Inducible; Adaptation;
   Fitness
ID DROUGHT STRESS TOLERANCE; QUANTITATIVE TRAIT LOCI; USE EFFICIENCY;
   TRADE-OFFS; NATURAL-POPULATIONS; FLOWERING TIME; ECOPHYSIOLOGICAL
   TRAITS; TRANSCRIPTION FACTORS; PHENOTYPIC SELECTION; SIGNAL-TRANSDUCTION
AB Identifying the genetic basis of adaptation to climate has long been a goal in evolutionary biology and has applications in agriculture. Adaptation to drought represents one important aspect of local adaptation, and drought is the major factor limiting agricultural yield. We examined local adaptation between Sweden and Italy Arabidopsis thaliana ecotypes, which show contrasting levels of water availability in their local environments. To identify quantitative trait loci (QTL) controlling water use physiology traits and adaptive trait QTL (genomic regions where trait QTL and fitness QTL colocalize), we performed QTL mapping on 374 F-9 recombinant inbred lines in well-watered and terminal drought conditions. We found 72 QTL (32 in well-watered, 31 in drought, 9 for plasticity) across five water use physiology traits: delta C-13, rosette area, dry rosette weight, leaf water content and percent leaf nitrogen. Some of these genomic regions colocalize with fitness QTL and with other physiology QTL in defined hotspots. In addition, we found evidence of both constitutive and inducible water use physiology QTL. Finally, we identified highly divergent candidate genes, in silico. Our results suggest that many genes with minor effects may influence adaptation through water use physiology and that pleiotropic water use physiology QTL have fitness consequences. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
C1 [Mojica, Julius P.; Mullen, Jack; Monroe, J. Grey; Paul, John R.; McKay, John K.] Colorado State Univ, Dept Bioagr Sci & Pest Management, Ft Collins, CO 80523 USA.
   [Lovell, John T.] Univ Texas Austin, Dept Integrat Biol, Austin, TX 78701 USA.
   [Oakley, Christopher G.] Michigan State Univ, Dept Plant Biol, E Lansing, MI 48824 USA.
   [Mojica, Julius P.] Duke Univ, Dept Biol, Durham, NC 27708 USA.
   [Paul, John R.] Univ San Francisco, Dept Biol, San Francisco, CA 94117 USA.
C3 Colorado State University; University of Texas System; University of
   Texas Austin; Michigan State University; Duke University; University of
   San Francisco
RP Mojica, JP (corresponding author), Colorado State Univ, Dept Bioagr Sci & Pest Management, Ft Collins, CO 80523 USA.; Mojica, JP (corresponding author), Duke Univ, Dept Biol, Durham, NC 27708 USA.
EM julius.mojica@duke.edu
RI paul, john/IQU-1965-2023; Oakley, Christopher/U-3659-2017; McKay,
   John/K-3875-2012
OI Oakley, Christopher G./0000-0002-8082-5621; Monroe,
   Grey/0000-0002-4025-5572
FU National Science Foundation [1022202]; Direct For Biological Sciences;
   Division Of Environmental Biology [1743273] Funding Source: National
   Science Foundation; Division Of Environmental Biology; Direct For
   Biological Sciences [1022202] Funding Source: National Science
   Foundation
FX We thank Kelsi Grogan, Jennifer DeWoody, Cullen McGovern, Courtney
   Gomola, Richard Fletcher, and Jacob Landis for their assistance in the
   greenhouse work. This research was supported by National Science
   Foundation Grant 1022202 to JKM.
CR Ågren J, 2013, P NATL ACAD SCI USA, V110, P21077, DOI 10.1073/pnas.1316773110
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Blum A, 2005, AUST J AGR RES, V56, P1159, DOI 10.1071/AR05069
   Blum A, 2011, PLANT BREEDING FOR WATER-LIMITED ENVIRONMENTS, P53, DOI 10.1007/978-1-4419-7491-4_3
   Bray E. A., 2004, J EXP BOT
   Breitling R., 2008, PLOS GENET, V4
   Broman KW, 2009, STAT BIOL HEALTH, P1, DOI 10.1007/978-0-387-92125-9_1
   Cantero A, 2006, PLANT PHYSIOL BIOCH, V44, P13, DOI 10.1016/j.plaphy.2006.02.002
   Chaves MM, 2003, FUNCT PLANT BIOL, V30, P239, DOI 10.1071/FP02076
   CHURCHILL GA, 1994, GENETICS, V138, P963
   Clark GB, 2001, PLANT PHYSIOL, V126, P1072, DOI 10.1104/pp.126.3.1072
   Des Marais DL, 2012, PLANT CELL, V24, P893, DOI 10.1105/tpc.112.096180
   Dittmar EL, 2014, MOL ECOL, V23, P4291, DOI 10.1111/mec.12857
   Donovan LA, 2007, OECOLOGIA, V152, P13, DOI 10.1007/s00442-006-0627-5
   Fletcher RS, 2015, J EXP BOT, V66, P245, DOI 10.1093/jxb/eru423
   Fujita Y, 2005, PLANT CELL, V17, P3470, DOI 10.1105/tpc.105.035659
   Gaffney J, 2015, CROP SCI, V55, P1608, DOI 10.2135/cropsci2014.09.0654
   Hao ZF, 2010, EUPHYTICA, V174, P165, DOI 10.1007/s10681-009-0091-5
   Hereford J, 2009, AM NAT, V173, P579, DOI 10.1086/597611
   Heschel MS, 2014, INT J PLANT SCI, V175, P442, DOI 10.1086/675573
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hill NS, 1996, CROP SCI, V36, P665, DOI 10.2135/cropsci1996.0011183X003600030025x
   Huh SM, 2010, PLANT CELL PHYSIOL, V51, P1499, DOI 10.1093/pcp/pcq111
   Jongdee B, 2002, FIELD CROP RES, V76, P153, DOI 10.1016/S0378-4290(02)00036-9
   Juenger TE, 2005, PLANT CELL ENVIRON, V28, P697, DOI 10.1111/j.1365-3040.2004.01313.x
   Juenger TE, 2013, CURR OPIN PLANT BIOL, V16, P274, DOI 10.1016/j.pbi.2013.02.001
   Kang JY, 2002, PLANT CELL, V14, P343, DOI 10.1105/tpc.010362
   Kawaguchi R, 2004, PLANT J, V38, P823, DOI 10.1111/j.1365-313X.2004.02090.x
   Kelly JK, 2008, EVOL ECOL RES, V10, P147
   Kenney AM, 2014, ECOL EVOL, V4, P4505, DOI 10.1002/ece3.1270
   Kesari R, 2012, P NATL ACAD SCI USA, V109, P9197, DOI 10.1073/pnas.1203433109
   Kingsolver JG, 2001, AM NAT, V157, P245, DOI 10.1086/319193
   Kooyers NJ, 2015, PLANT SCI, V234, P155, DOI 10.1016/j.plantsci.2015.02.012
   Kreps JA, 2002, PLANT PHYSIOL, V130, P2129, DOI 10.1104/pp.008532
   Lee S, 2004, PLANT CELL, V16, P1378, DOI 10.1105/tpc.021683
   Manichaikul A, 2009, GENETICS, V181, P1077, DOI 10.1534/genetics.108.094565
   Manzaneda AJ, 2015, EVOLUTION, V69, P2689, DOI 10.1111/evo.12776
   McKay JK, 2003, MOL ECOL, V12, P1137, DOI 10.1046/j.1365-294X.2003.01833.x
   McKay JK, 2008, EVOLUTION, V62, P3014, DOI 10.1111/j.1558-5646.2008.00474.x
   MEISNER CA, 1992, AGRON J, V84, P159, DOI 10.2134/agronj1992.00021962008400020007x
   Mojica JP, 2010, P ROY SOC B-BIOL SCI, V277, P2945, DOI 10.1098/rspb.2010.0568
   Monforte AJ, 1997, THEOR APPL GENET, V95, P706, DOI 10.1007/s001220050616
   García MNM, 2014, PLANTA, V239, P615, DOI 10.1007/s00425-013-2001-2
   Oakley CG, 2014, MOL ECOL, V23, P4304, DOI 10.1111/mec.12862
   Schneider CA, 2012, NAT METHODS, V9, P671, DOI 10.1038/nmeth.2089
   Seki M, 2002, PLANT J, V31, P279, DOI 10.1046/j.1365-313X.2002.01359.x
   Shinozaki K, 2003, CURR OPIN PLANT BIOL, V6, P410, DOI 10.1016/S1369-5266(03)00092-X
   Singh RP, 2003, INT J REMOTE SENS, V24, P4393, DOI 10.1080/0143116031000084323
   STEBBINS GL, 1952, AM NAT, V86, P33, DOI 10.1086/281699
   Uno Y, 2000, P NATL ACAD SCI USA, V97, P11632, DOI 10.1073/pnas.190309197
   VANBAVEL CHM, 1978, SOIL SCI SOC AM J, V42, P657, DOI 10.2136/sssaj1978.03615995004200040024x
   VIA S, 1995, TRENDS ECOL EVOL, V10, P212, DOI 10.1016/S0169-5347(00)89061-8
   Wright IJ, 2004, NATURE, V428, P821, DOI 10.1038/nature02403
   Xu JL, 2005, THEOR APPL GENET, V111, P1642, DOI 10.1007/s00122-005-0099-8
   YAMAGUCHISHINOZAKI K, 1994, PLANT CELL, V6, P251, DOI 10.1105/tpc.6.2.251
   Yoshida T, 2015, PLANT CELL ENVIRON, V38, P35, DOI 10.1111/pce.12351
   Yoshida T, 2010, PLANT J, V61, P672, DOI 10.1111/j.1365-313X.2009.04092.x
NR 57
TC 18
Z9 22
U1 0
U2 25
PU ELSEVIER IRELAND LTD
PI CLARE
PA ELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO, CLARE, 00000,
   IRELAND
SN 0168-9452
J9 PLANT SCI
JI Plant Sci.
PD OCT
PY 2016
VL 251
SI SI
BP 12
EP 22
DI 10.1016/j.plantsci.2016.03.015
PG 11
WC Biochemistry & Molecular Biology; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Plant Sciences
GA DY7SH
UT WOS:000385329100003
PM 27593459
OA Bronze
DA 2025-01-10
ER

PT J
AU Rosa, L
   Ragettli, S
   Sinha, R
   Zhovtonog, O
   Yu, WS
   Karimi, P
AF Rosa, Lorenzo
   Ragettli, Silvan
   Sinha, Ranu
   Zhovtonog, Olga
   Yu, Winston
   Karimi, Poolad
TI Regional irrigation expansion can support climate-resilient crop
   production in post-invasion Ukraine
SO NATURE FOOD
LA English
DT Article
ID WATER
AB Ukraine supplies a large proportion of grain and oilseeds to the world market and faces disruptions from the Russian invasion in 2022. Here we explore the combined effects of the invasion and climate change on Ukraine's irrigation. In 2021, only 1.6% of Ukraine's cropland was irrigated. Of this portion, 73% experienced substantial declines in irrigated crop production following the invasion. We estimate that by the mid-twenty-first century, three-quarters of croplands will experience water shortages, making business-as-usual rain-fed agricultural practices inadequate in addressing the challenges posed by climate change. We explore how leveraging local surface and groundwater resources could enable sustainable irrigation expansion over 18 million hectares of croplands and form a viable climate adaptation strategy. Finally, we identify regions for implementing enhancements or expansions of irrigation systems that can foster a more resilient agricultural sector-underscoring the growing importance of irrigation in sustaining crop production in Ukraine.
   Destruction of the Kakhovka Dam in 2023 caused water shortages in two-thirds of Ukraine's irrigated regions, highlighting the need for localized and climate-resilient irrigation strategies to support future crop production in Ukraine.
C1 [Rosa, Lorenzo] Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA.
   [Ragettli, Silvan] Hydrosolutions GmbH, Zurich, Switzerland.
   [Sinha, Ranu; Yu, Winston; Karimi, Poolad] World Bank, Water Global Practice, Washington, DC USA.
   [Zhovtonog, Olga] Natl Univ Water & Environm Engn, Rivne, Ukraine.
   [Karimi, Poolad] IHE Delft Inst Water Educ, Dept Land & Water Management, Delft, Netherlands.
C3 Carnegie Institution for Science; The World Bank; Ministry of Education
   & Science of Ukraine; National University of Water & Environmental
   Engineering; IHE Delft Institute for Water Education
RP Rosa, L (corresponding author), Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA.
EM lrosa@carnegiescience.edu
RI Rosa, Lorenzo/ABD-7884-2020; Karimi, Poolad/E-5216-2010
OI Rosa, Lorenzo/0000-0002-1280-9945
FU Carnegie Institution for Science; World Bank; Ukraine Institute of Water
   Problems and Land Reclamation (IWPLR) of the National Academy of
   Agrarian Science of Ukraine
FX L.R. was funded by Carnegie Institution for Science. This work is a
   product of the staff of The World Bank with external contributions. The
   findings, interpretations and conclusions expressed in this work do not
   necessarily reflect the views of The World Bank, its Board of Executive
   Directors or the governments they represent. The World Bank does not
   guarantee the accuracy, completeness or currency of the data included in
   this work and does not assume responsibility for any errors, omissions
   or discrepancies in the information or liability with respect to the use
   of or failure to use the information, methods, processes or conclusions
   set forth. The boundaries, colours, denominations and other information
   shown on any map in this work do not imply any judgement on the part of
   The World Bank concerning the legal status of any territory or the
   endorsement or acceptance of such boundaries. We extend our gratitude to
   the Ukraine Institute of Water Problems and Land Reclamation (IWPLR) of
   the National Academy of Agrarian Science of Ukraine for their
   professional discussions, provision of research and statistical data and
   digitalization of irrigation service areas for validating remote sensing
   modelling.
CR Abay KA, 2023, GLOB FOOD SECUR-AGR, V36, DOI 10.1016/j.gfs.2023.100675
   [Anonymous], 2019, APPROVAL IRRIGATION
   [Anonymous], 2023, FLOODED AREAS FOLLOW
   [Anonymous], 2022, STATE GLOBAL CLIMATE
   [Anonymous], 2024, UKRAINE 3 RAPID DAMA
   [Anonymous], 2022, The Importance of Ukraine and the Russian Federation for Global Agricultural Markets and the Risks Associated with the War in Ukraine
   [Anonymous], 2024, AQUASTAT CLIMATE INF
   [Anonymous], 2021, OECD STUDIES WATER, DOI [10.1787/512a52aa-en, DOI 10.1787/512A52AA-EN]
   Balasubramanya S, 2024, SCIENCE, V383, P256, DOI 10.1126/science.adi9497
   Behnassi M, 2022, NAT HUM BEHAV, V6, P754, DOI 10.1038/s41562-022-01391-x
   Bertassello L, 2023, NAT FOOD, V4, P673, DOI 10.1038/s43016-023-00806-w
   Birthal PS, 2021, AGR WATER MANAGE, V255, DOI 10.1016/j.agwat.2021.106950
   Carriquiry M, 2022, NAT FOOD, V3, P847, DOI 10.1038/s43016-022-00600-0
   Chen MY, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009132
   Chiarelli DD, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00612-0
   Dari J, 2024, HYDROL EARTH SYST SC, V28, P2651, DOI 10.5194/hess-28-2651-2024
   Deininger K, 2023, FOOD POLICY, V115, DOI 10.1016/j.foodpol.2023.102418
   Di Baldassarre G, 2018, NAT SUSTAIN, V1, P617, DOI 10.1038/s41893-018-0159-0
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gleick P, 2023, EARTHS FUTURE, V11, DOI 10.1029/2023EF003910
   Harris I, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0453-3
   He LY, 2023, PNAS NEXUS, V2, DOI 10.1093/pnasnexus/pgad117
   Hellegers P, 2022, FOOD SECUR, V14, P1503, DOI 10.1007/s12571-022-01306-8
   Jägermeyr J, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15900
   Kourkouli P., 2023, GEOINFORMATICS GEOSC, DOI [10.1016/B978-0-323-98983-1.00010-7, DOI 10.1016/B978-0-323-98983-1.00010-7]
   Kussul N, 2017, IEEE GEOSCI REMOTE S, V14, P778, DOI 10.1109/LGRS.2017.2681128
   Lin FQ, 2023, GLOB FOOD SECUR-AGR, V36, DOI 10.1016/j.gfs.2022.100661
   Lioubimtseva E, 2012, FRONT EARTH SCI-PRC, V6, P157, DOI 10.1007/s11707-012-0318-y
   Luo YC, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14081809
   McDermid S, 2023, NAT REV EARTH ENV, V4, P435, DOI 10.1038/s43017-023-00438-5
   Pekel JF, 2016, NATURE, V540, P418, DOI 10.1038/nature20584
   Pielke R, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac4ebf
   Poertner LM, 2022, ONE EARTH, V5, P470, DOI 10.1016/j.oneear.2022.04.004
   Portmann FT, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2008GB003435
   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]
   Qin JX, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-47383-5
   Rawtani D, 2022, SCI TOTAL ENVIRON, V850, DOI 10.1016/j.scitotenv.2022.157932
   Reznik V. S., 2016, Acta Scientiarum Polonorum - Agricultura, V15, P73
   Rosa L., 2024, ZENODO, DOI [10.5281/zenodo.12106370, DOI 10.5281/ZENODO.12106370]
   Rosa L, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac7408
   Rosa L, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22581-7
   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
   Schmitt RJP, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2214291119
   Shumilova O, 2023, NAT SUSTAIN, V6, P578, DOI 10.1038/s41893-023-01068-x
   State Statistics Service of Ukraine, 2024, About us
   Vyshnevskyi V, 2023, WATER INT, V48, P631, DOI 10.1080/02508060.2023.2247679
   Warszawski L, 2014, P NATL ACAD SCI USA, V111, P3228, DOI 10.1073/pnas.1312330110
   World Bank, 2022, UKR RAP DAM NEED ASS
NR 51
TC 1
Z9 1
U1 9
U2 9
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2662-1355
J9 NAT FOOD
JI Nat. Food
PD AUG
PY 2024
VL 5
IS 8
DI 10.1038/s43016-024-01017-7
EA JUL 2024
PG 12
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA D6G8O
UT WOS:001271468900001
PM 39026014
DA 2025-01-10
ER

PT J
AU Murata, K
   Kataoka, K
   Sanno, R
   Satomura, K
   Ogura, A
   Asahi, T
   Yura, K
   Suzuki, T
AF Murata, Kohyoh
   Kataoka, Kosuke
   Sanno, Ryuto
   Satomura, Kazuhiro
   Ogura, Atsushi
   Asahi, Toru
   Yura, Kei
   Suzuki, Takeshi
TI Complete mitochondrial genome sequences of two ground crickets,
   <i>Dianemobius fascipes nigrofasciatus</i> and <i>Polionemobius
   taprobanensis</i> (Orthoptera: Grylloidea: trigonidiidae)
SO MITOCHONDRIAL DNA PART B-RESOURCES
LA English
DT Article
DE Complete mitogenome; crickets; phylogenetic analysis; speciation
ID CLIMATIC ADAPTATION; SPECIES STATUS; GRYLLIDAE
AB The authors sequenced the complete mitochondrial (mt) genomes of the band-legged ground cricket (Dianemobius fascipes nigrofasciatus Matsumura, 1904) and a temperate form of the lawn ground cricket (Polionemobius taprobanensis Walker, 1869), collected in Japan. The length of the mt genome sequences was 15,354 bp in D. fascipes nigrofasciatus and 16,063 bp in P. taprobanensis. Annotation of the mt genome sequences revealed 13 protein-coding genes, two rRNA genes, and 22 tRNA genes. The orientation of the genes was the same as in other Grylloidea species, and the order was the same as in other Trigonidiidae species. In our phylogenetic analysis, D. fascipes nigrofasciatus formed a clade with D. fascipes collected in China, and the temperate form of P. taprobanensis formed a clade with P. taprobanensis collected in China. Comparison of the numbers of positions with different amino acid residues encoded by the protein-coding genes implied the separate species status of each member of each of the two pairs of ground crickets. The mt genome sequences of D. fascipes nigrofasciatus and P. taprobanensis will contribute to phylogenetic and taxonomic studies of the Trigonidiidae.
C1 [Murata, Kohyoh; Suzuki, Takeshi] Tokyo Univ Agr & Technol, Grad Sch Bioapplicat & Syst Engn, Tokyo, Japan.
   [Kataoka, Kosuke; Asahi, Toru] Waseda Univ, Comprehens Res Org, Tokyo, Japan.
   [Sanno, Ryuto; Asahi, Toru; Yura, Kei] Waseda Univ, Grad Sch Adv Sci & Engn, Tokyo, Japan.
   [Satomura, Kazuhiro; Ogura, Atsushi] Nagahama Inst Biosci & Technol, Dept Biosci, Nagahama, Shiga, Japan.
   [Asahi, Toru] Waseda Univ, Global Consolidated Res Inst Sci Wisdom, Tokyo, Japan.
   [Asahi, Toru] Waseda Univ, Inst Adv Res Biosyst Dynam, Waseda Res Inst Sci & Engn, Tokyo, Japan.
   [Asahi, Toru] Waseda Univ, Res Org Nano & Life Innovat, Tokyo, Japan.
   [Yura, Kei] Ochanomizu Univ, Grad Sch Humanities & Sci, Tokyo, Japan.
   [Yura, Kei] Natl Inst Adv Ind Sci & Technol, Computat Bio Big Data Open Innovat Lab CBBD OIL, Tokyo, Japan.
C3 Tokyo University of Agriculture & Technology; Waseda University; Waseda
   University; Waseda University; Waseda University; Waseda University;
   Ochanomizu University; National Institute of Advanced Industrial Science
   & Technology (AIST)
RP Suzuki, T (corresponding author), Tokyo Univ Agr & Technol, Grad Sch Bioapplicat & Syst Engn, Tokyo, Japan.
EM tszk@cc.tuat.ac.jp
RI Yura, Kei/S-1030-2018; Murata, Kohyoh/LKK-4136-2024
OI Satomura, Kazuhiro/0000-0002-8115-695X; Murata,
   Kohyoh/0009-0002-3008-4025
FU Cabinet Office, Government of Japan
FX The authors thank Prof. Masato Kiyomoto (Tateyama Marine Laboratory,
   Institute of Marine and Coastal Research, Ochanomizu University) for his
   support in sampling the crickets used in this study. We also thank the
   hosts of the website orthoptera.jp at https://www.orthoptera-jp.com/ for
   sharing the literature on cricket classification.
CR Adachi J, 1996, J MOL EVOL, V42, P459
   Benediktov A. A., 2018, Entomological Review, V98, P1038, DOI 10.1134/S0013873818080109
   Bernt M, 2013, MOL PHYLOGENET EVOL, V69, P313, DOI 10.1016/j.ympev.2012.08.023
   Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
   Donath A, 2019, NUCLEIC ACIDS RES, V47, P10543, DOI 10.1093/nar/gkz833
   Dong JJ, 2017, ZOOTAXA, V4268, P101, DOI 10.11646/zootaxa.4268.1.6
   FELSENSTEIN J, 1981, J MOL EVOL, V17, P368, DOI 10.1007/BF01734359
   FELSENSTEIN J, 1985, EVOLUTION, V39, P783, DOI 10.1111/j.1558-5646.1985.tb00420.x
   He ZQ, 2018, ZOOTAXA, V4369, P515, DOI 10.11646/zootaxa.4369.4.4
   Jin JJ, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-02154-5
   JONES DT, 1992, COMPUT APPL BIOSCI, V8, P275, DOI 10.1093/bioinformatics/8.3.275
   Kataoka K, 2022, BIOPHYS REV-GER, V14, P75, DOI 10.1007/s12551-021-00924-4
   Kataoka K, 2020, FRONT GENET, V11, DOI 10.3389/fgene.2020.00470
   Kumar S, 2018, MOL BIOL EVOL, V35, P1547, DOI 10.1093/molbev/msy096
   Li JJ, 2019, MITOCHONDRIAL DNA A, V30, P385, DOI 10.1080/24701394.2018.1502280
   Ma C, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55740-4
   Ma C, 2019, MITOCHONDRIAL DNA B, V4, P172, DOI 10.1080/23802359.2018.1544870
   Ma C, 2018, INT J BIOL MACROMOL, V120, P1048, DOI 10.1016/j.ijbiomac.2018.08.181
   MASAKI S, 1979, Kontyu, V47, P48
   MASAKI S, 1979, OECOLOGIA, V43, P207, DOI 10.1007/BF00344771
   MASAKI S, 1978, OECOLOGIA, V35, P343, DOI 10.1007/BF00345141
   Masaki S., 1983, GeoJournal, V7, P483, DOI DOI 10.1007/BF00218520
   Matsuda N, 2019, ENTOMOL SCI, V22, P198, DOI 10.1111/ens.12359
   Matsuda N, 2018, GLOBAL CHANGE BIOL, V24, P5622, DOI 10.1111/gcb.14436
   SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
   Sanno R, 2021, GENOME BIOL EVOL, V13, DOI 10.1093/gbe/evab222
   Schneider CA, 2012, NAT METHODS, V9, P671, DOI 10.1038/nmeth.2089
   Sheffield NC, 2010, MITOCHONDR DNA, V21, P87, DOI 10.3109/19401736.2010.500812
   Shiga S, 1997, ZOOL SCI, V14, P1015, DOI 10.2108/zsj.14.1015
   Song N, 2016, SCI REP-UK, V6, DOI 10.1038/srep36175
   Storozhenko S.Y., 2015, Monograph of Korean Orthoptera
   Yang J, 2016, ZOOTAXA, V4092, P529, DOI 10.11646/zootaxa.4092.4.4
NR 32
TC 0
Z9 0
U1 1
U2 3
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
EI 2380-2359
J9 MITOCHONDRIAL DNA B
JI Mitochondrial DNA Part B-Resour.
PD DEC 2
PY 2023
VL 8
IS 12
BP 1311
EP 1315
DI 10.1080/23802359.2023.2285400
PG 5
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA CF9M5
UT WOS:001123953700001
PM 38173920
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Grayson, CL
   Khouzam, A
   Jayamaha, N
   Julmy, S
AF Grayson, Catherine-Lune
   Khouzam, Amir
   Jayamaha, Nishanie
   Julmy, Stephanie
TI The Climate and Environment Charter for Humanitarian Organizations:
   Strengthening the humanitarian response to the climate and environment
   crises
SO INTERNATIONAL REVIEW OF THE RED CROSS
LA English
DT Article
DE climate change; Climate Charter; climate risk; environmental
   degradation; humanitarian action; climate adaptation
AB Since its launch in 2021, the Climate and Environment Charter for Humanitarian Organizations (the Charter) has been signed by hundreds of humanitarian actors across the world, including local and national organizations, United Nations agencies, National Red Cross and Red Crescent Societies, and large international NGOs. The Charter's development grew out of a sector-wide recognition that humanitarians have a role to play in addressing the crises of climate change and environmental degradation, and that fulfilling this role would entail changing how they work. Two years into its existence, the Charter has helped build momentum towards this change and has provided a useful measurement tool for how much remains to be done.This paper traces the origins, inspiration and process of the Charter from the perspective of the present authors, who co-led the Charter's development. The article highlights some of the challenges that we faced and how these were addressed. In taking stock of progress towards the Charter's goals, the article flags areas where further effort is needed to adequately strengthen the humanitarian response to the climate and environmental crises.
C1 [Grayson, Catherine-Lune] Int Comm Red Cross, Policy Team, Geneva, Switzerland.
   [Khouzam, Amir] Int Comm Red Cross, Geneva, Switzerland.
   [Jayamaha, Nishanie] Int Council Voluntary Agcy, Geneva, Switzerland.
   [Julmy, Stephanie] Int Federat Red Cross & Red Crescent Soc, Geneva, Switzerland.
RP Grayson, CL (corresponding author), Int Comm Red Cross, Policy Team, Geneva, Switzerland.; Khouzam, A (corresponding author), Int Comm Red Cross, Geneva, Switzerland.
EM cgrayson@icrc.org; akhouzam@icrc.org
CR [Anonymous], 2019, 33 INT C RED CROSS R
   [Anonymous], 2022, Humanitarian Aid Donors' Declaration on Climate and Environment.
   Clarke Paul Knox, 2021, Climate Change and Humanitarian Action
   Climate and Environment Charter for Humanitarian Organizations, 2021, Targets.
   Climate and Environment Charter for Humanitarian Organizations, 2021, Guidance
   Climate and Environment Charter for Humanitarian Organizations, 2021, about us
   ICRC and IFRC, 2021, Consultations on the Climate and Environment Charter for Humanitarian Organizations: Summary of Feedback and Revisions: Consolidated Feedback on the Climate and Environment Charter for Humanitarian Organizations Gathered during Consultations Conducted between December 2020 and March 2021
   IFRC and ICRC, 1994, The Code of Conduct for the International Red Cross and Red Crescent Movement and Non -Governmental Organisations (NGOs) in Disaster Relief
   InterAction, 2020, The NGO Climate Compact; Commitments towards Environmental Action and Sustainability 2020-2022
   International Council of Voluntary Agencies (ICVA), ICVA 2030 STRAT COLL
   Reinosa Marion, 2023, Implementing the Climate Charter: Analysis and Mapping of Expertise Available to Signatories on the Implementation of the Climate and Environment Charter for Humanitarian Organizations
   Rosenow-Williams Kirsten, 2015, Moving the Social - Journal of Social History and the History of Social Movements, V54
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
NR 13
TC 0
Z9 0
U1 1
U2 1
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 1816-3831
EI 1607-5889
J9 INT REV RED CROSS
JI Int. Rev. Red Cross
PD DEC
PY 2023
VL 105
IS 924
SI SI
BP 1227
EP 1237
DI 10.1017/S1816383123000371
PG 11
WC Law
WE Social Science Citation Index (SSCI)
SC Government & Law
GA Z6SK7
UT WOS:001113352400019
DA 2025-01-10
ER

PT J
AU Deng, NA
   Wang, B
   Wang, ZH
AF Deng, Nana
   Wang, Bo
   Wang, Zhaohua
TI Does targeted poverty alleviation improve households' adaptation to hot
   weathers: Evidence from electricity consumption of poor households
SO ENERGY POLICY
LA English
DT Article
DE Household electricity consumption; Targeted poverty alleviation; Extreme
   heat; Household adaptation behaviours
ID CLIMATE-CHANGE; MORTALITY; TEMPERATURE; CHINA
AB Although the literature on Targeted Poverty Alleviation (TPA) to economic benefits of poor populations, little is known about its contributor to the climate adaptation ability. This paper examines the effects of TPA on adaptation behaviours of poor households' response to extreme heat, using random month-to-month variation in temperature based on household-level panel data from China. The results show that after the implementation of TPA, one additional day with temperatures above 90 degrees in a month would increase the electricity consumption of households by 0.5%. While considerable heterogeneity is observed across education and health: the loweducation and critical illness groups do not experience a electricity consumption increase during hot days, reflecting the potential energy inequality on those specific socio-economic residents in responding to climate change. This paper also identifies that the effects of different measures of TPA on households' adaptation behaviour to hot weather. It finds that crop farming project and breeding project have positive impact on enhancing households' high-temperature adaptation compared to tourism and manufacturing projects.
C1 [Deng, Nana; Wang, Bo; Wang, Zhaohua] Beijng Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China.
   [Deng, Nana; Wang, Bo; Wang, Zhaohua] Beijing Inst Technol, Res Ctr Sustainable Dev & Intelligent Decis, Beijing, Peoples R China.
   [Deng, Nana; Wang, Bo; Wang, Zhaohua] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing, Peoples R China.
C3 Beijing Institute of Technology; Beijing Institute of Technology
RP Wang, ZH (corresponding author), Beijng Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China.
EM wangzh1018@hotmail.com
RI Wang, Zhaohua/AAP-5489-2021
FU Philosophy and Social Sciences Program of Ministry of Education
   [21JZD027]; Major project of National Social Science Foundation
   [22ZD104]; Innovation Research Group of the National Natural Science
   Foundation of China [72321002]; Beijing Natural Science Foundation of
   China [9212016]
FX This work was supported by the National Natural Science Foundation of
   China (Reference No. 72321002, 72243001, 72141302, 72074026, 72222017,
   72174023, 72140002, and 72104023) , Key Projects of Philosophy and
   Social Sciences Program of Ministry of Education (Reference No.
   21JZD027) , Major project of National Social Science Foundation
   (Reference No.22&ZD104) , Innovation Research Group of the National
   Natural Science Foundation of China (Reference No. 72321002) and Beijing
   Natural Science Foundation of China (9212016) .r N. Deng et al.
   Philosophy and Social Sciences Program of Ministry of Education
   (Reference No. 21JZD027) , Major project of National Social Science
   Foundation (Reference No.22&ZD104) , Innovation Research Group of the
   National Natural Science Foundation of China (Reference No. 72321002)
   and Beijing Natural Science Foundation of China (9212016) .
CR Auffhammer M, 2022, J ENVIRON ECON MANAG, V114, DOI 10.1016/j.jeem.2022.102669
   Banerjee R, 2020, J DEV ECON, V143, DOI 10.1016/j.jdeveco.2019.102378
   Barreca A, 2022, NAT ENERGY, V7, P1052, DOI 10.1038/s41560-022-01134-2
   Barreca A, 2016, J POLIT ECON, V124, P105, DOI 10.1086/684582
   Barreca AI, 2012, J ENVIRON ECON MANAG, V63, P19, DOI 10.1016/j.jeem.2011.07.004
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Bezerra P, 2021, ENERG BUILDINGS, V234, DOI 10.1016/j.enbuild.2020.110696
   Cai Y.H., 2021, China. Ind. Econ., V11, P24
   Chang Q, 2022, J POLICY MODEL, V44, P1041, DOI 10.1016/j.jpolmod.2022.08.005
   Davie G, 2021, PROG DEV STUD, V21, P244, DOI 10.1177/14649934211018911
   Deng NA, 2022, ENERG ECON, V114, DOI 10.1016/j.eneco.2022.106318
   Deschênes O, 2009, REV ECON STAT, V91, P659, DOI 10.1162/rest.91.4.659
   Dong KY, 2022, ENERG ECON, V109, DOI 10.1016/j.eneco.2022.106007
   Guo YZ, 2022, J RURAL STUD, V93, P430, DOI 10.1016/j.jrurstud.2019.01.007
   He GJ, 2020, NAT SUSTAIN, V3, DOI 10.1038/s41893-020-0581-y
   He LY, 2023, WORLD DEV, V167, DOI 10.1016/j.worlddev.2023.106255
   He ZD, 2022, PAC-BASIN FINANC J, V73, DOI 10.1016/j.pacfin.2022.101777
   Heutel Garth, 2021, Rev Econ Stat, V103, P740, DOI 10.1162/rest_a_00936
   IPCC, 2007, WORK GROUP 2 CONTR I
   Ito K, 2018, AM ECON J-ECON POLIC, V10, P240, DOI 10.1257/pol.20160093
   Lai WY, 2022, NAT HUM BEHAV, V6, P837, DOI 10.1038/s41562-022-01315-9
   Li N, 2023, URBAN CLIM, V50, DOI 10.1016/j.uclim.2023.101583
   Li YT, 2019, P NATL ACAD SCI USA, V116, P472, DOI 10.1073/pnas.1804667115
   Li YH, 2016, CHINA AGR ECON REV, V8, P443, DOI 10.1108/CAER-11-2015-0157
   Liao C, 2021, WORLD DEV, V137, DOI 10.1016/j.worlddev.2020.105117
   Liu C.-S., 2019, ENV EC RES, V4, P148, DOI 10.19511/j.cnki.jee.2019.04.010
   Naminse EY, 2019, MANAGE DECIS, V57, P2593, DOI 10.1108/MD-11-2017-1153
   Nisa CF, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12457-2
   Nunn N, 2011, Q J ECON, V126, P593, DOI 10.1093/qje/qjr009
   Pavanello F, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26592-2
   Perkins-Kirkpatrick SE, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16970-7
   Soergel B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22315-9
   Tang JJ, 2022, ECON ANAL POLICY, V75, P74, DOI 10.1016/j.eap.2022.05.004
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   Wackernagel M, 2021, NAT SUSTAIN, V4, P731, DOI 10.1038/s41893-021-00708-4
   Xiao H, 2022, CHINA ECON REV, V71, DOI 10.1016/j.chieco.2021.101729
   Yang YY, 2021, GEOGR SUSTAIN, V2, P243, DOI 10.1016/j.geosus.2021.09.004
   Yu XM, 2019, J ENVIRON ECON MANAG, V96, P195, DOI 10.1016/j.jeem.2019.05.004
   Zhang HM, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15826-4
   Zhang SH, 2022, ENERG ECON, V107, DOI 10.1016/j.eneco.2022.105890
   Zhou Y, 2023, APPL GEOGR, V157, DOI 10.1016/j.apgeog.2023.103000
   Zhou Y, 2018, LAND USE POLICY, V74, P53, DOI 10.1016/j.landusepol.2017.04.037
   Zivin JG, 2014, J LABOR ECON, V32, P1, DOI 10.1086/671766
NR 43
TC 4
Z9 4
U1 8
U2 23
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0301-4215
EI 1873-6777
J9 ENERG POLICY
JI Energy Policy
PD DEC
PY 2023
VL 183
AR 113850
DI 10.1016/j.enpol.2023.113850
EA OCT 2023
PG 8
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 X4GS3
UT WOS:001098058800001
DA 2025-01-10
ER

PT J
AU Gober, P
   Wentz, EA
   Lant, T
   Tschudi, MK
   Kirkwood, CW
AF Gober, Patricia
   Wentz, Elizabeth A.
   Lant, Timothy
   Tschudi, Michael K.
   Kirkwood, Craig W.
TI WaterSim: a simulation model for urban water planning in Phoenix,
   Arizona, USA
SO ENVIRONMENT AND PLANNING B-PLANNING & DESIGN
LA English
DT Article
ID CLIMATE-CHANGE; HYDROLOGY
AB WaterSim, a simulation model, was built and implemented to investigate how alternative climate conditions, rates of population growth, and policy choices interact to affect future water supply and demand conditions in Phoenix, AZ. WaterSim is a hierarchical model that represents supply from surface and groundwater sources and demand from residential, commercial, and agricultural user sectors, incorporating the rules that govern reservoirs, aquifer use, and land-use change. In this paper we: (1) report on the imperative for exploratory modeling in water-resource management, given the deep uncertainties of climate change, (2) describe the geographic context for the Phoenix case study, (3) outline the objectives and structure of WaterSim, (4) report on testing the model with sensitivity analyses and history matching, (5) demonstrate the application of the model through a series of simulation experiments, and (6) discuss the model's use for scenario planning and climate adaptation. Simulation results show there are significant challenges to Phoenix's water sustainability from climate change and rapid growth. Policies to address these challenges require difficult tradeoffs among lifestyles, groundwater sustainability, the pace of growth, and what is considered to be an appropriate level of risk of climate-induced shortage.
C1 [Gober, Patricia] Sch Geog Sci & Urban Planning, Decis Ctr Desert City, Tempe, AZ 85287 USA.
   [Gober, Patricia] Sch Sustainabil, Tempe, AZ 85287 USA.
   [Wentz, Elizabeth A.] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA.
   [Tschudi, Michael K.] Arizona State Univ, Decis Ctr Desert City, Tempe, AZ 85287 USA.
   [Kirkwood, Craig W.] Arizona State Univ, Dept Supply Chain Management, 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
RP Gober, P (corresponding author), Sch Geog Sci & Urban Planning, Decis Ctr Desert City, POB 878209, Tempe, AZ 85287 USA.
EM gober@asu.edu; wentz@asu.edu; tim.lant@asu.edu; tschudi@asu.edu;
   Craig.Kirkwood@asu.edu
FU Divn Of Social and Economic Sciences; Direct For Social, Behav &
   Economic Scie [0951366] Funding Source: National Science Foundation
CR ADES, 2006, AR POP PROJ 2006 205
   [Anonymous], PHOEN AMA SUMM BUDG
   [Anonymous], 2000, Business Dynamics: Systems Thinking and Modeling for a Complex World
   BANKES S, 1993, OPER RES, V41, P435, DOI 10.1287/opre.41.3.435
   Bankes SC, 2002, P NATL ACAD SCI USA, V99, P7263, DOI 10.1073/pnas.092081399
   Barnett TP, 2008, SCIENCE, V319, P1080, DOI 10.1126/science.1152538
   Barnett TP, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006704
   Christensen NS, 2004, CLIMATIC CHANGE, V62, P337, DOI 10.1023/B:CLIM.0000013684.13621.1f
   City of Phoenix, 2005, WAT RES PLAN 2005 UP
   Connall DesmondD., 1982, ARIZ STAT LAW J, P313
   Ellis AW, 2008, CLIM RES, V35, P227, DOI 10.3354/cr00727
   Gammage Grady., 1999, PHOENIX PERSPECTIVE
   Gober Patricia., 2006, METROPOLITAN PHOENIX
   Hirt P, 2008, ENVIRON HIST-US, V13, P482, DOI 10.1093/envhis/13.3.482
   Ingram H., 2007, INT S NEW DIR URB WA, P12
   KONIKOW LF, 1992, ADV WATER RESOUR, V15, P75, DOI 10.1016/0309-1708(92)90033-X
   Lempert R., 2003, Shaping the next one hundred years: New methods for quantitative, long-term policy analysis (MR-1626-CR)
   Mayer P.W., 1999, Residential end uses of water
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   National Research Council, 2007, Colorado River Basin Water Management: Evaluating and Adjusting to Hydroclimatic Variability
   Pahl-Wostl C, 2002, AQUAT SCI, V64, P394, DOI 10.1007/PL00012594
   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]
   SEAGER R, 2010, P NATL ACAD IN PRESS
   Seager R, 2007, SCIENCE, V316, P1181, DOI 10.1126/science.1139601
   White DD, 2008, SOC NATUR RESOUR, V21, P230, DOI 10.1080/08941920701329678
   Zellner ML, 2008, PLAN THEORY PRACT, V9, P437, DOI 10.1080/14649350802481470
NR 26
TC 49
Z9 63
U1 1
U2 34
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0265-8135
EI 1472-3417
J9 ENVIRON PLANN B
JI Environ. Plan. B-Plan. Des.
PD MAR
PY 2011
VL 38
IS 2
BP 197
EP 215
DI 10.1068/b36075
PG 19
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 761SJ
UT WOS:000290420800002
DA 2025-01-10
ER

PT J
AU Del Tredici, P
AF Del Tredici, Peter
TI The phenology of sexual reproduction in <i>Ginkgo biloba</i>::
   Ecological and evolutionary implications
SO BOTANICAL REVIEW
LA English
DT Article
ID CHINA; GAMETOPHYTE; DISPERSAL; CLIMATE; FRUITS; PLANTS; RISE
AB This study examines how the latitude of cultivation of Ginkgo biloba affects the timing of all phases of its sexual reproductive cycle, from pollination through germination. Seeds produced by trees growing in warm-temperate climates germinate earlier in the year than seeds produced in cold-temperate climates, and they have a longer period of time available for seedling establishment. The embryos of G. biloba seeds possess a temperature-dependent developmental-delay mechanism that allows seeds to survive winter by preventing premature germination in the fall. This and other cold-climate adaptations appear to have evolved within the genus Ginkgo during the early Cretaceous, when the Northern Hemisphere was undergoing dramatic cooling after a long period of stable, warm conditions. Ginkgo biloba seeds possess an odoriferous sarcotesta that attracts mammalian scavengers in Asia-most notably members of the Carnivora-presumably by mimicking the smell of carrion. Seeds cleaned of their sarcotesta germinated faster and at higher percentages than those with their sarcotesta intact, suggesting that animal dispersal plays an important role in promoting seedling establishment. During the Cretaceous, potential dispersal agents included mammals, birds, and carnivorous dinosaurs.
RP Del Tredici, P (corresponding author), Harvard Univ, Boston, MA 02130 USA.
CR [Anonymous], 2006, GUIZHOU SCI, DOI DOI 10.3969/J.ISSN.1003-6563.2006.02.014
   Baskin C.C., 1998, Seeds: Ecology
   BORALLE N, 1988, GINKGOLIDES CHEM BIO, P9
   Del Tredici P., 2000, GINKGO BILOBA MED AR, P7
   DELTREDICI P, 1989, BIOSYSTEMS, V22, P327, DOI 10.1016/0303-2647(89)90054-3
   DELTREDICI P, 1992, CONSERV BIOL, V6, P202
   DELTREDICI P, 1991, THESIS BOSTON U BOST
   Eames A. J., 1955, Journal of the Arnold Arboretum, V36, P165
   Fan XX, 2004, BIOCHEM GENET, V42, P269, DOI 10.1023/B:BIGI.0000034431.15308.57
   Favre Duchartre M., 1958, Phytomorphology, V8, P377
   FRIEDMAN WE, 1986, AM J BOT, V73, P1261, DOI 10.2307/2444060
   FRIEDMAN WE, 1987, AM J BOT, V74, P1797, DOI 10.2307/2443963
   Friedman WE., 1997, GINKGO BILOBA GLOBAL, P29
   HATANO K., 1952, JOUR JAPANESE FOREST SOC, V34, P369
   HE SA, 1997, GINKGO BILOBA GLOBAL, P373
   Hirase S., 1896, BOT MAG TOKYO, V10, P325
   Holt BF, 1997, AM J BOT, V84, P870, DOI 10.2307/2445823
   JANZEN DH, 1982, SCIENCE, V215, P19, DOI 10.1126/science.215.4528.19
   Jiang M., 1990, J WUHAN BOT RES, V8, P191
   JOHNSON MI, 1974, P ARKANSAS ACAD SCI, V28, P34
   Kemp T.S., 2005, The Origin and Evolution of Mammals
   Kochibe N., 1997, GINKGO BILOBA GLOBAL, P301, DOI [10.1007/978-4-431-68416-923, DOI 10.1007/978-4-431-68416-9_23.]
   LEE C. L., 1955, BOT GAZ, V117, P79, DOI 10.1086/335894
   Li Jianwen, 1999, Forest Research, V12, P197
   Li T.T., 1934, SCI REP NATL T HUA B, V2, P37
   LI TT, 1934, SCI REP NATL TSING B, V2, P29
   MAPES G, 1989, NATURE, V337, P645, DOI 10.1038/337645a0
   Matsumoto K, 2003, GLOBAL CHANGE BIOL, V9, P1634, DOI 10.1046/j.1365-2486.2003.00688.x
   MIYAKE K, 1902, J APPL MICROBIOL, V5, P1773
   Norstog KJ, 2004, BOT REV, V70, P5, DOI 10.1663/0006-8101(2004)070[0005:CDOTSO]2.0.CO;2
   PARLIMENT TH, 1995, ACS SYM SER, V596, P276
   Rothwell GW., 1997, GINKGO BILOBA GLOBAL, P223, DOI [DOI 10.1080/10635150802422282, DOI 10.1007/978-4-431-68416-917]
   Royer DL, 2003, PALEOBIOLOGY, V29, P84, DOI 10.1666/0094-8373(2003)029<0084:ECITLF>2.0.CO;2
   Santamour F. S. Jr., 1983, Journal of Arboriculture, V9, P170
   Shen L, 2005, HEREDITY, V94, P396, DOI 10.1038/sj.hdy.6800616
   TIFFNEY BH, 1984, ANN MO BOT GARD, V71, P551, DOI 10.2307/2399037
   Tiffney BH, 2004, ANNU REV ECOL EVOL S, V35, P1, DOI 10.1146/annurev.ecolsys.34.011802.132535
   TRALAU H, 1968, LETHAIA, V1, P63, DOI 10.1111/j.1502-3931.1968.tb01728.x
   Van der Pijl Kees., 2007, NOMADS EMPIRES STATE, DOI DOI 10.1007/978-3-642-87925-8
   Wall C.E., 1992, Journal of Vertebrate Paleontology, V12, P172
   WANG F-H, 1983, Acta Botanica Sinica, V25, P199
   WEI G, 2007, J INTEGR PL BIOL, V49
   WEST WC, 1970, B TORREY BOT CLUB, V98, P380
   Zheng SL, 2004, REV PALAEOBOT PALYNO, V131, P91, DOI 10.1016/j.revpalbo.2004.03.002
   Zhou ZH, 2002, NATURE, V418, P405, DOI 10.1038/nature00930
   Zhou ZY, 2006, GEOL J, V41, P363, DOI 10.1002/gj.1049
   Zhou ZY, 2003, NATURE, V423, P821, DOI 10.1038/423821a
   ZIEGLER AM, 1993, PHILOS T ROY SOC B, V341, P297, DOI 10.1098/rstb.1993.0115
NR 48
TC 35
Z9 38
U1 3
U2 47
PU SPRINGER
PI NEW YORK
PA 233 SPRING STREET, NEW YORK, NY 10013 USA
SN 0006-8101
J9 BOT REV
JI Bot. Rev.
PD OCT-DEC
PY 2007
VL 73
IS 4
BP 267
EP 278
DI 10.1663/0006-8101(2007)73[267:TPOSRI]2.0.CO;2
PG 12
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 253AE
UT WOS:000252488600001
DA 2025-01-10
ER

PT C
AU Lüter, F
   Meinberg, T
AF Lueter, F.
   Meinberg, T.
BE Braganca, L
   Pinheiro, M
   Jalali, S
   Mateus, R
   Amoeda, R
   Guedes, MC
TI reCHARGEDcity<SUP>21+</SUP> - from a perforated, shrinking city to a
   energy- se I f- sufficient town
SO PORTUGAL SB07 - SUSTAINABLE CONSTRUCTION, MATERIALS AND PRACTICES:
   CHALLENGE OF THE INDUSTRY FOR THE NEW MILLENNIUM, PTS 1 AND 2
LA English
DT Proceedings Paper
CT International Conference on Sustainable Construction, Materials and
   Practices
CY SEP 12-14, 2007
CL Lisbon, PORTUGAL
SP iiSBE, Inst Superior Tecn, InCI, MOPTC, UNEP, COST, SD MED, cib
AB The diploma thesis reCHARGEDcity(21+) sketches a vision for an energy self-sufficient, climate adapted urbanism in a post-fossil age. Potentials for sustainability, image and quality of life of the urban space of a shrinking city will be shown.
   A scenario was developed for a gradual conversion of the city's technical infrastructure into decentralised regenerative systems, illustrated by the example of treating waste water locally through a reed bed treatment system and decentralising electricity and heat production with fuel cells (combined heat and power units (CHPs)). An almost complete water cycle as well as a completely self-sufficient energy Supply Within the former city-area will be achieved. The usage of decentralised, regenerative supply and disposal tools offers a range of synergetic advantages: revitalisation of fallow areas and refurbishment of free spaces opened up by demolition with attractive and financially viable elements that are able to replace the successive breakdown of the city's central technical infrastructure. Integrating decentralised infrastructure tools into the appearance and free spaces of the city's future development comprises the project's focus. This thesis demonstrates the possibilities of ail early urbanistic reaction to effects of the climate change.
C1 [Lueter, F.; Meinberg, T.] Tech Univ Darmstadt, Fac Architecture, Dept Energy Efficient Bldg Design, Dept Landscape Architecture & Design, Darmstadt, Hessen, Germany.
C3 Technical University of Darmstadt
RP Lüter, F (corresponding author), Tech Univ Darmstadt, Fac Architecture, Dept Energy Efficient Bldg Design, Dept Landscape Architecture & Design, Darmstadt, Hessen, Germany.
NR 0
TC 0
Z9 0
U1 0
U2 3
PU IOS PRESS
PI AMSTERDAM
PA NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
BN 978-1-58603-785-7
PY 2007
BP 686
EP +
PG 2
WC Construction & Building Technology; Engineering, Civil; Materials
   Science, Multidisciplinary
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Engineering; Materials Science
GA BMO88
UT WOS:000273209800091
DA 2025-01-10
ER

PT J
AU Tedprasith, K
   Lohpaisankrit, W
AF Tedprasith, Kanjana
   Lohpaisankrit, Worapong
TI Development of intensity-duration-frequency relationships in Khon Kaen
   City, Thailand under changing climate using GCMs and a simple scaling
   method
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE climate change projections; CMIP6 GCMs; IDF curves; Log-Pearson Type-III
   distribution; rainfall extremes; simple scaling
ID MODEL; RAINFALL
AB This study analyses the annual maximum (AM) rainfall series (1991-2022) in Khon Kaen City, Thailand. The AM rainfall series ranging from 3 to 24 h was best fitted to the Log-Pearson Type-III distribution. Notably, our findings reveal linear relationships between the moments of rainfall intensities and durations establishing the practicality of the simple scaling method for disaggregating 24-h AM rainfall data. Additionally, the results of this method are influenced by factors such as sample size, rainfall durations, and the chosen probability distribution. Comparisons between intensity-duration-frequency (IDF) curves obtained through the simple scaling method and those derived from traditional frequency analysis provide valuable insights. Furthermore, this method was applied to bias-corrected rainfall data of 15 global climate models facilitating the generation of future IDF curves under SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios. Our results highlight that rainfall events in the SSP5-8.5 scenario are projected to exhibit higher intensities emphasizing the need to understand and prepare for increased rainfall extremes in the context of climate change. This research contributes valuable insights into rainfall analysis and prediction techniques, which are crucial for effective water resource management and climate adaptation strategies in the Khon Kaen region.
C1 [Tedprasith, Kanjana] Khon Kaen Univ, Fac Engn, Dept Civil Engn, Khon Kaen, Thailand.
   [Lohpaisankrit, Worapong] Khon Kaen Univ, Fac Engn, Sustainable Infrastruct Res & Dev Ctr, Dept Civil Engn, Khon Kaen, Thailand.
C3 Khon Kaen University; Khon Kaen University
RP Lohpaisankrit, W (corresponding author), Khon Kaen Univ, Fac Engn, Sustainable Infrastruct Res & Dev Ctr, Dept Civil Engn, Khon Kaen, Thailand.
EM woralo@kku.ac.th
RI Lohpaisankrit, Worapong/AAN-8512-2020
OI Lohpaisankrit, Worapong/0000-0001-8948-3018
FU Research and Graduate Studies as well as the Sustainable Infrastructure
   Research and Development Center, Faculty of Engineering, Khon Kaen
   University; Thai Meteorological Department
FX This study is supported by the Research and Graduate Studies as well as
   the Sustainable Infrastructure Research and Development Center, Faculty
   of Engineering, Khon Kaen University. We are also deeply grateful to the
   Thai Meteorological Department and HII in Thailand for their invaluable
   contributions in providing the essential meteorological datasets. In
   addition, we extend our thanks to the anonymous reviewers and the
   editorial team.
CR Adib A, 2019, SCI IRAN, V26, P742, DOI 10.24200/sci.2017.4593
   Alzahrani F, 2023, J WATER CLIM CHANGE, V14, P1339, DOI 10.2166/wcc.2023.507
   [Anonymous], 2023, Summary for Policymakers
   Bara M, 2010, SLOVAK J CIV ENG, V18, P1, DOI 10.2478/v10189-010-0010-8
   Crévolin V, 2023, SUSTAIN CITIES SOC, V92, DOI 10.1016/j.scs.2023.104473
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fang GH, 2015, HYDROL EARTH SYST SC, V19, P2547, DOI 10.5194/hess-19-2547-2015
   GUPTA VK, 1990, J GEOPHYS RES-ATMOS, V95, P1999, DOI 10.1029/JD095iD03p01999
   Justel A, 1997, STAT PROBABIL LETT, V35, P251, DOI 10.1016/S0167-7152(97)00020-5
   Khadka D, 2022, INT J CLIMATOL, V42, P1181, DOI 10.1002/joc.7296
   Kourtis IM, 2023, WATER RESOUR MANAG, V37, P2403, DOI 10.1007/s11269-022-03252-8
   Li LL, 2022, ADV CLIM CHANG RES, V13, P1, DOI 10.1016/j.accre.2021.09.009
   Maity SS, 2022, WATER RESOUR MANAG, V36, P5371, DOI 10.1007/s11269-022-03313-y
   Martel JL, 2021, J HYDROL ENG, V26, DOI 10.1061/(ASCE)HE.1943-5584.0002122
   Menabde M, 1999, WATER RESOUR RES, V35, P335, DOI 10.1029/1998WR900012
   Nhat L. M., 2008, ANN J HYDRAULIC ENG, V52, P85, DOI [10.2208/prohe.52.85, DOI 10.2208/PROHE.52.85]
   Nooni IK, 2023, ATMOSPHERE-BASEL, V14, DOI 10.3390/atmos14030607
   Pimonsree S, 2023, ATMOS RES, V282, DOI 10.1016/j.atmosres.2022.106522
   Semenov MA, 1999, CLIMATE RES, V11, P137, DOI 10.3354/cr011137
   Soltani S, 2017, WATER RESOUR MANAG, V31, P4253, DOI 10.1007/s11269-017-1744-0
   Switanek MB, 2017, HYDROL EARTH SYST SC, V21, P2649, DOI 10.5194/hess-21-2649-2017
   Wilby RL, 2023, CLIM DYNAM, V60, P3577, DOI 10.1007/s00382-022-06528-2
   Yamoat N, 2023, J WATER CLIM CHANGE, V14, P796, DOI 10.2166/wcc.2023.430
   Yu PS, 2004, J HYDROL, V295, P108, DOI 10.1016/j.jhydrol.2004.03.003
NR 24
TC 1
Z9 1
U1 1
U2 3
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 MAR
PY 2024
VL 15
IS 3
BP 1204
EP 1217
DI 10.2166/wcc.2024.533
EA MAR 2024
PG 14
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA MM2L8
UT WOS:001175710500001
OA gold
DA 2025-01-10
ER

PT J
AU Sheehan, MC
   Freire, M
   Martinez, GS
AF Sheehan, Mary C.
   Freire, Mila
   Martinez, Gerardo Sanchez
TI Piloting a city health adaptation typology with data from
   climate-engaged cities: Toward identification of an urban health
   adaptation gap
SO ENVIRONMENTAL RESEARCH
LA English
DT Article
DE Climate change; Adaptation; Public health; Cities
ID GOVERNANCE; POLICY
AB Climate change has important population health impacts, and cities are often on the frontlines. However, health is reported to be less active in climate adaptation than other sectors. To contribute to better understanding urban health adaptation efforts and identifying gaps we developed a City Climate Health Adaptation Typology and tested it with adaptation actions of 106 large world cities (population > 1 million) reported to a major publiclyavailable adaptation database. We found two-thirds of actions of these ?active adapter? cities were healthassociated. Half were health information activities (e.g., hazard mapping, early warnings); and nearly onethird addressed climate-relevant health determinants in the urban built environment (e.g., green space). Forty percent of cities were in low- or middle-income countries. Our proposed typology provides a systematic framework for monitoring and comparing city health adaptation actions. Reported city actions are suggestive of increasing depth and breadth of urban health-associated adaptation. However, even among these adaptationengaged cities, a health adaptation gap was apparent in key climate health services (e.g., mental health), and in climate-related public health governance and capacity building. The COVID-19 pandemic has demonstrated pressing need for strong public health institutions. We recommend better integration of public health agencies into local climate action planning, enhanced modes of collaboration between health and non-health agencies and with non-governmental actors, and strengthening of city public health adaptive capacity including through networking.
C1 [Sheehan, Mary C.] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Hlth Policy & Management, 615 North Wolfe St, Baltimore, MD 21205 USA.
   [Sheehan, Mary C.] Johns Hopkins Pompeu Fabra Publ Policy Ctr, Ramon Trias Fargas 25-27, Barcelona 08005, Spain.
   [Freire, Mila] Johns Hopkins Sch Adv Int Studies, 1740 Massachusetts Ave NW, Washington, DC 20036 USA.
   [Martinez, Gerardo Sanchez] Tech Univ Denmark, Dept Management Engn, UNEP DTU Partnership, UN City, Mamorvej 51, DK-2100 Copenhagen, Denmark.
C3 Johns Hopkins University; Johns Hopkins Bloomberg School of Public
   Health; Johns Hopkins University; Technical University of Denmark
RP Sheehan, MC (corresponding author), Johns Hopkins Bloomberg Sch Publ Hlth, Dept Hlth Policy & Management, 615 North Wolfe St, Baltimore, MD 21205 USA.
EM msheeh10@jhu.edu; mfreire2@jhu.edu; gsama@dtu.dk
OI Sanchez Martinez, Gerardo/0000-0002-3290-6195
CR Allan J., 2020, A net-zero emissions economic recovery from COVID-19
   [Anonymous], 2011, GUID CLIM CHANG AD C
   [Anonymous], 2020, How does the World Bank classify countries?
   Araos M, 2016, INT J HEALTH SERV, V46, P53, DOI 10.1177/0020731415621458
   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
   Aylett A, 2015, URBAN CLIM, V14, P4, DOI 10.1016/j.uclim.2015.06.005
   Bai XM, 2020, NATURE, V584, P517, DOI 10.1038/d41586-020-02459-2
   Bambrick HJ, 2011, ASIA-PAC J PUBLIC HE, V23, p67S, DOI 10.1177/1010539510391774
   Banaji F., 2020, COUNTRIES CLIMATE AM
   Baum F, 2014, HEALTH PROMOT INT, V29, P130, DOI 10.1093/heapro/dau032
   Biagini B, 2014, GLOBAL ENVIRON CHANG, V25, P97, DOI 10.1016/j.gloenvcha.2014.01.003
   Bulkeley H, 2006, URBAN STUD, V43, P2237, DOI 10.1080/00420980600936491
   Carrington D., 2020, GUARDIAN CORONAVIRUS
   Casanueva A, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16152657
   CDP, 2013, CDP CTIES 2013 SUMM
   CDP, 2019, CDP 2018 CIT AD ACT
   Chu E., 2019, UNLOCKING POTENTIAL
   Crimmins A., 2016, The impacts of climate change on human health in the United States: A scientific assessment, DOI DOI 10.7930/J0R49NQX
   de Leeuw E, 2017, ANNU REV PUBL HEALTH, V38, P329, DOI 10.1146/annurev-publhealth-031816-044309
   Dhakal KP, 2016, ENVIRON MANAGE, V57, P1112, DOI 10.1007/s00267-016-0667-5
   EASAC, 2019, IMP CLIM ACT PROT HU
   Evanson D., 2020, IMPERIAL COLL LONDON
   Fagliano JA, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002621
   Ford JD, 2016, MITIG ADAPT STRAT GL, V21, P839, DOI 10.1007/s11027-014-9627-7
   Fox M, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16183232
   Francesch-Huidobro M, 2017, PROG PLANN, V114, P1, DOI 10.1016/j.progress.2015.11.001
   FUNGFELD H, 2015, CURRENT OPINION ENV, V12, P67, DOI DOI 10.1016/J.COSUST.2014.10.011
   Georgeson L, 2016, NAT CLIM CHANGE, V6, P584, DOI [10.1038/nclimate2944, 10.1038/NCLIMATE2944]
   Habitat U.N., 2020, URB RES HUB MED COLL
   Hansen J, 2017, EARTH SYST DYNAM, V8, P577, DOI 10.5194/esd-8-577-2017
   Hess JJ, 2012, ENVIRON HEALTH PERSP, V120, P171, DOI 10.1289/ehp.1103515
   Hoornweg D, 2011, URB DEV SER, P1, DOI 10.1596/978-0-8213-8493-0
   Hughes S, 2015, URBAN CLIM, V14, P17, DOI 10.1016/j.uclim.2015.06.003
   Ibrahim S.A., 2018, 2 ASSESSMENT REPORT
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Kernaghan S, 2014, URBAN CLIM, V7, P47, DOI 10.1016/j.uclim.2013.10.008
   Lee T, 2012, POLICY SCI, V45, P199, DOI 10.1007/s11077-012-9159-5
   LESNIKOWSKI AC, 2011, ENVIRON RES LETT, V6, DOI DOI 10.1088/1748-9326/6/4/04409
   Martinez DL, 2018, FORMACION EN LENGUA DE SENAS COLOMBIANA (LSC): UNA SISTEMATIZACION DE LA EXPERIENCIA DE FENASCOL, P5
   Lowe D, 2011, INT J ENV RES PUB HE, V8, P4623, DOI 10.3390/ijerph8124623
   Maibach EW, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017571
   McMichael A., 2003, CLIMATE CHANGE HUMAN
   McMichael AJ, 2011, J INTERN MED, V270, P401, DOI 10.1111/j.1365-2796.2011.02415.x
   Neira M., 2018, World Heal. Organ
   Patz JA, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002628
   Paz S, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13040438
   Rantala R, 2014, HEALTH PROMOT INT, V29, P92, DOI 10.1093/heapro/dau047
   Revi, 2019, 4 SM STRENGTHENING I
   Rudolph L, 2020, PUBLIC HEALTH REP, V135, P189, DOI 10.1177/0033354920902468
   Sheehan MC, 2020, INT J HEALTH SERV, V50, P264, DOI 10.1177/0020731420928971
   Sheehan MC, 2017, ENVIRON HEALTH PERSP, V125, DOI [10.1289/EHP1838, 10.1289/ehp1838]
   Shimamoto MM, 2017, WEATHER CLIM SOC, V9, P777, DOI 10.1175/WCAS-D-16-0142.1
   Steffen W, 2018, P NATL ACAD SCI USA, V115, P8252, DOI 10.1073/pnas.1810141115
   Teasdale, 2009, CITIES CLIMATE CHANG, P14
   United Nations, 2019, POP DAT
   Villalbí JR, 2016, INT J HEALTH SERV, V46, P389, DOI 10.1177/0020731416643444
   Walter CM, 2020, RESPIROLOGY, V25, P495, DOI 10.1111/resp.13798
   Watts M, 2017, NAT CLIM CHANGE, V7, P537, DOI 10.1038/nclimate3358
   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
   WHO, 2019, GLOB STRAT HLTH ENV
   WHO, 2015, Operational framework for building climate resilient health systems
   Xu YH, 2013, J EPIDEMIOL COMMUN H, V67, P519, DOI 10.1136/jech-2012-201899
NR 64
TC 11
Z9 11
U1 1
U2 38
PU ACADEMIC PRESS INC ELSEVIER SCIENCE
PI SAN DIEGO
PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
SN 0013-9351
EI 1096-0953
J9 ENVIRON RES
JI Environ. Res.
PD MAY
PY 2021
VL 196
AR 110435
DI 10.1016/j.envres.2020.110435
EA MAY 2021
PG 8
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 SA9HZ
UT WOS:000649615200003
PM 33197422
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Yalew, SG
   Kwakkel, J
   Doorn, N
AF Yalew, S. G.
   Kwakkel, J.
   Doorn, N.
TI Distributive Justice and Sustainability Goals in Transboundary Rivers:
   Case of the Nile Basin
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE Nile basin; grand renaissance dam; Nile basin initiative; water ethics;
   water justice
ID WATER-RESOURCES; RENAISSANCE DAM; FRAMEWORK; MANAGEMENT; GOVERNANCE;
   FAIRNESS; EQUITY
AB The importance of cooperation on transboundary waters is stated as a target in the United Nations 2030 Agenda for Sustainable Development Goals (SDG6: water). Cooperation on transboundary water management is critical, particularly because it concerns issues across multiple states, SDGs and targets regarding agriculture, energy, ecosystems, climate adaptation, health, and peace and security. The percentage of transboundary basin area within a country that has an "operational arrangement" for water cooperation is used as the main indicator of such cooperation in the SDGs for "equitable and reasonable use" of water resources (SDG 6.5.2). However, no clear criteria and explanation are available for what exactly constitutes an "equitable and reasonable use" in any such "operational arrangements." Furthermore, it is understandable that any such arrangements may be shaped by differences in historical, legal, and political contexts and hence may be inherently unjust. Here, we highlight the limitations of SDG indicators, particularly SDG 6.5.2, to monitor equity of resource sharing in transboundary river systems. Using Walzer's theory of morality of the state and cosmopolitanism as a framework, we examine the Nile basin as a case study to demonstrate the shortcomings of current SDG criteria and indicators. Our article contributes ideas of "operationalizing" theoretical justice toward a more equitable water management in transboundary rivers.
C1 [Yalew, S. G.; Kwakkel, J.] Delft Univ Technol, Policy Anal Sect, Dept Multiactor Syst, Delft, Netherlands.
   [Doorn, N.] Delft Univ Technol, Dept Values Technol & Innovat, Eth & Philosophy Technol Sect, Delft, Netherlands.
C3 Delft University of Technology; Delft University of Technology
RP Yalew, SG (corresponding author), Delft Univ Technol, Policy Anal Sect, Dept Multiactor Syst, Delft, Netherlands.
EM s.g.yalew@tudelft.nl
RI Kwakkel, Jan/D-9680-2013; Yalew, Seleshi/B-4583-2013
OI Yalew, Seleshi G./0000-0002-7304-6750
FU JPI-Water initiative
FX We wish to acknowledge the JPI-Water initiative and participating grant
   institutions for funding the IN-WOP project through which this effort
   was supported.
CR Abdelhady D, 2015, J CONTEMP WAT RES ED, V155, P73, DOI 10.1111/j.1936-704X.2015.03197.x
   Anand P.B., 2007, Journal of Human Development, V8, P109, DOI DOI 10.1080/14649880601101465
   [Anonymous], 2015, Sustainable development goals: 17 goals to transform our world
   [Anonymous], 2019, CULT HACK
   [Anonymous], 2023, Promoting Ocean and Water Literacy in School Communities (ProBleu)
   [Anonymous], 2000, Game Theory Evolving: A Problem-Centered Introduction to Modeling Strategic Behavior
   [Anonymous], **NON-TRADITIONAL**
   Arneson R., 2002, Egalitarianism
   Arneson RJ, 2000, ETHICS, V110, P339, DOI 10.1086/233272
   Arsano Y., 2011, NEGOTIATIONS NILE CO, P8
   Bank W, 2019, GDP PER CAPITA
   Beyene Z., 2004, International Journal of Ethiopian Studies, V1, P16, DOI [https://doi.org/10.1017/cbo9781139051811.014, DOI 10.1017/CBO9781139051811.014, 10.1017/cbo9781139051811.014]
   Brock Gillian., 2009, GLOBAL JUSTICE COSMO
   Browder G., 2000, INT NEGOT, V5, P237, DOI DOI 10.1163/15718060020848758
   Bruinsma J., 2017, WORLD AGR 20152030 F, DOI DOI 10.4324/9781315083858
   Cash DW, 2000, GLOBAL ENVIRON CHANG, V10, P109, DOI 10.1016/S0959-3780(00)00017-0
   Ciullo A, 2020, RISK ANAL, V40, P1844, DOI 10.1111/risa.13527
   Correia FN, 1999, WATER INT, V24, P86, DOI 10.1080/02508069908692144
   Cotton M, 2013, ENVIRON VALUE, V22, P317, DOI 10.3197/096327113X13648087563665
   Crabites P, 1929, FOREIGN AFF, V8, P145
   De Stefano L, 2017, GLOBAL ENVIRON CHANG, V45, P35, DOI 10.1016/j.gloenvcha.2017.04.008
   Dore J, 2012, J HYDROL, V466, P23, DOI 10.1016/j.jhydrol.2012.07.023
   Eckstein G.E, 2008, P AM SOC INT LAW P
   Eleftheriadou E, 2008, J WATER RES PLAN MAN, V134, P466, DOI 10.1061/(ASCE)0733-9496(2008)134:5(466)
   Feldman D.L., 2007, WATER POLICY SUSTAIN
   Gebreluel G, 2014, WASH QUART, V37, P25, DOI 10.1080/0163660X.2014.926207
   Giordano MA, 2003, WATER RESO MANAGE PO, P71
   Girard C, 2016, WATER RESOUR RES, V52, P7945, DOI 10.1002/2016WR018757
   Gleick P. H., 1998, Water Policy, V1, P487, DOI DOI 10.1016/S1366-7017(99)00008-2
   Goldman B, 2015, J ORGAN BEHAV, V36, P313, DOI 10.1002/job.1956
   Gosseries A, 2011, SUFFICIENTARIANISM
   Hu ZN, 2016, RESOUR CONSERV RECY, V109, P102, DOI 10.1016/j.resconrec.2016.02.001
   ILA, 2004, P 71 C
   Kaplow L, 2003, J LEGAL STUD, V32, P331, DOI 10.1086/345679
   Lankford B.A., 2013, Water security: Principles, Perspectives, and Practices
   Lele S, 2017, WIRES WATER, V4, DOI 10.1002/wat2.1224
   Liu DD, 2019, J HYDROL, V569, P347, DOI 10.1016/j.jhydrol.2018.12.010
   Madani K, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010849
   McCaffrey S.C, 1999, J INT POLY, V28, P325
   McCaffrey S.C., 2010, POLITICS WATER SURVE, V1st ed., P18
   McCaffrey SC, 1996, NAT RESOUR J, V36, P965
   McCaffrey SC, 1998, AM J INT LAW, V92, P97, DOI 10.2307/2998069
   Mekonnen DZ, 2010, EUR J INT LAW, V21, P421, DOI 10.1093/ejil/chq027
   Mill J.S, 1895, UTILITARIANISM UTILI
   Nagheeby M, 2019, TRANSNATL ENVIRON LA, V8, P247, DOI 10.1017/S2047102519000128
   NBI, 2019, EST PROJ TOT POP NIL
   Neal MJ, 2014, WATER POLICY, V16, P1, DOI 10.2166/wp.2014.109
   Rahaman Muhammad Mizanur, 2009, International Journal of Sustainable Society, V1, P207, DOI 10.1504/IJSSOC.2009.027620
   RAWLS J, 1958, PHILOS REV, V67, P164, DOI 10.2307/2182612
   Sanderson G, 1964, HIST J, V7, P94
   Schroeder-Wildberg E, 2002, WORKING PAPERS MANAG
   Sen AK., 2010, IDEA JUSTICE
   Shen ZW, 2018, WATER RESOUR MANAG, V32, P3629, DOI 10.1007/s11269-018-2010-9
   Sikor T, 2013, JUSTICES INJUSTICES, DOI 10.4324/9780203395288
   Swain A., 2008, Journal of International Affairs, V61, P201
   Tian J, 2019, WATER RESOUR MANAG, V33, P3633, DOI 10.1007/s11269-019-02325-5
   Turan I., 1997, P NAT RES FOR
   UNDESA, 2014, GEN ASS AD RES REC
   United Nations, 2015, No.A/RES/70/1.
   UNWC, 2012, THEOR RES ALL
   Walzer Michael, 2015, JUST UNJUST WARS MOR
   Warne K, 2019, WHANGANUI RIVER NZ I
   Wheeler KG, 2016, WATER INT, V41, P611, DOI 10.1080/02508060.2016.1177698
   Wolf A.T., 1999, P NAT RES FOR
   Wouters P., 2013, J WATER LAW, V23, P51, DOI [DOI 10.4324/9781315651132-19, 10.4324/9781315651132-19]
   Wouters P., 2009, Water security, hydrosolidarity, P97
   Yihdego Z., 2017, Brill Research Perspectives in International Water Law, V2, P1, DOI [10.1163/9789004351769_002, DOI 10.1163/9789004351769_002]
   Yihdego Z., 2017, The Grand Ethiopian Renaissance Dam and the Nile Basin: implications for transboundary water cooperation, DOI DOI 10.4324/9781315160122
   Zeitoun M, 2014, WATER POLICY, V16, P174, DOI 10.2166/wp.2014.111
   Zeitoun M, 2013, WIRES CLIM CHANGE, V4, P331, DOI 10.1002/wcc.228
   Zeitoun M, 2013, GEOGR J, V179, P141, DOI 10.1111/j.1475-4959.2012.00487.x
NR 71
TC 14
Z9 14
U1 4
U2 45
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 2
PY 2021
VL 8
AR 590954
DI 10.3389/fenvs.2020.590954
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA QH4AK
UT WOS:000618217800001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Chieppa, J
   Brown, T
   Giresi, P
   Juenger, TE
   de Dios, VR
   Tissue, DT
   Aspinwall, MJ
AF Chieppa, Jeff
   Brown, Tia
   Giresi, Presley
   Juenger, Thomas E.
   de Dios, Victor Resco
   Tissue, David T.
   Aspinwall, Michael J.
TI Climate and stomatal traits drive covariation in nighttime stomatal
   conductance and daytime gas exchange rates in a widespread C<sub>4</sub>
   grass
SO NEW PHYTOLOGIST
LA English
DT Article
DE climatic adaptation; intraspecific variation; nighttime stomatal
   conductance; Panicum virgatum; photosynthesis; stomatal density
ID NOCTURNAL WATER-LOSS; LEAF CONDUCTANCE; SOIL-WATER; HYDRAULIC
   REDISTRIBUTION; ARABIDOPSIS-THALIANA; PRAIRIE GRASSES; ABSCISIC-ACID;
   PREDAWN PLANT; TRANSPIRATION; SWITCHGRASS
AB Nighttime stomatal conductance (g(sn)) varies among plant functional types and species, but factors shaping the evolution of g(sn) remain unclear. Examinations of intraspecific variation in g(sn) as a function of climate and co-varying leaf traits may provide new insight into the evolution of g(sn) and its adaptive significance.
   We grew 11 genotypes of Panicum virgatum (switchgrass) representing differing home-climates in a common garden experiment and measured nighttime and daytime leaf gas exchange, as well as stomatal density (SD) and size during early-, mid-, and late-summer. We used piecewise structural equation modelling to determine direct and indirect relationships between home-climate, gas exchange, and stomatal traits.
   We found no direct relationship between home-climate and g(sn). However, genotypes from hotter climates possessed higher SD, which resulted in higher g(sn). Across genotypes, higher g(sn) was associated with higher daytime stomatal conductance and net photosynthesis.
   Our results indicate that higher g(sn) may arise in genotypes from hotter climates via increased SD. High SD may provide benefits to genotypes from hotter climates through enhanced daytime transpirational cooling or by permitting maximal gas exchange when conditions are suitable. These results highlight the role of climate and trait coordination in shaping genetic differentiation in g(sn).
C1 [Chieppa, Jeff; Giresi, Presley; Aspinwall, Michael J.] Univ North Florida, Dept Biol, Jacksonville, FL 32224 USA.
   [Chieppa, Jeff; Aspinwall, Michael J.] Auburn Univ, Sch Forestry & Wildlife Sci, Auburn, AL 36849 USA.
   [Brown, Tia] Haverford Coll, Dept Biol, Haverford, PA 19041 USA.
   [Juenger, Thomas E.] Univ Texas Austin, Dept Integrat Biol, Austin, TX 78717 USA.
   [de Dios, Victor Resco] Southwest Univ Sci & Technol, Sch Life Sci & Engn, Mianyang 621010, Sichuan, Peoples R China.
   [Tissue, David T.] Western Sydney Univ, Hawkesbury Inst Environm, Richmond, NSW 2753, Australia.
C3 State University System of Florida; University of North Florida; Auburn
   University System; Auburn University; Haverford College; University of
   Texas System; University of Texas Austin; Southwest University of
   Science & Technology - China; Western Sydney University
RP Chieppa, J (corresponding author), Univ North Florida, Dept Biol, Jacksonville, FL 32224 USA.; Chieppa, J (corresponding author), Auburn Univ, Sch Forestry & Wildlife Sci, Auburn, AL 36849 USA.
EM jjc0022@aubum.edu
RI de Dios, Víctor/AAH-3655-2019; Aspinwall, Michael/ABH-9774-2020; Tissue,
   David/N-1710-2019; Tissue, David/H-6596-2015; Aspinwall,
   Michael/M-2083-2014
OI Tissue, David/0000-0002-8497-2047; Resco de Dios,
   Victor/0000-0002-5721-1656; Aspinwall, Michael/0000-0003-0199-2972;
   Juenger, Thomas/0000-0001-9550-9288
FU USDA-NIFA [2019-67013-29161]
FX Funding for this work was provided by a USDA-NIFA grant to MJA (award
   no. 2019-67013-29161) which provided financial support for JC. The data
   that support the findings of this study are openly available in JC's
   github repository (www.github.com/jjchieppa).
CR ABEN J, 1989, ULTRAMICROSCOPY, V31, P457, DOI 10.1016/0304-3991(89)90342-2
   Albert CH, 2010, FUNCT ECOL, V24, P1192, DOI 10.1111/j.1365-2435.2010.01727.x
   Arntz AM, 2001, OECOLOGIA, V127, P455, DOI 10.1007/s004420100650
   Aspinwall MJ, 2013, NEW PHYTOL, V199, P966, DOI 10.1111/nph.12341
   Barbour MM, 2005, FUNCT PLANT BIOL, V32, P1107, DOI 10.1071/FP05118
   Bates D.M, 2010, lme4: Mixed-effects modeling with R
   Bertolino LT, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00225
   Caird MA, 2007, PLANT PHYSIOL, V143, P4, DOI 10.1104/pp.106.092940
   Carins Murphy MR, 2014, PLANT CELL ENVIRON, V37, P124, DOI 10.1111/pce.12136
   Casler MD, 2004, CROP SCI, V44, P293, DOI 10.2135/cropsci2004.2930
   Casler MD, 2015, CROP SCI, V55, P2463, DOI 10.2135/cropsci2015.02.0076
   CEULEMANS R, 1988, CAN J BOT, V66, P1404, DOI 10.1139/b88-196
   Chieppa J, 2019, PLANT SOIL, V444, P457, DOI 10.1007/s11104-019-04290-9
   Christman MA, 2008, PLANT CELL ENVIRON, V31, P1170, DOI 10.1111/j.1365-3040.2008.01833.x
   Christman MA, 2009, PHYSIOL PLANTARUM, V136, P264, DOI 10.1111/j.1399-3054.2009.01216.x
   Christman MA, 2009, FUNCT PLANT BIOL, V36, P50, DOI 10.1071/FP08103
   CLAY K, 1978, B TORREY BOT CLUB, V105, P45, DOI 10.2307/2484262
   Cowan I R, 1977, Symp Soc Exp Biol, V31, P471
   de Dios VR, 2019, NEW PHYTOL, V223, P1696, DOI 10.1111/nph.15881
   Devi MJ, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01572
   Donovan LA, 2003, ECOLOGY, V84, P463, DOI 10.1890/0012-9658(2003)084[0463:MAMODB]2.0.CO;2
   Donovan LA, 2001, OECOLOGIA, V129, P328, DOI 10.1007/s004420100738
   Drake PL, 2013, J EXP BOT, V64, P495, DOI 10.1093/jxb/ers347
   Duffy JE, 2016, P NATL ACAD SCI USA, V113, P6230, DOI 10.1073/pnas.1524465113
   Easlon HM, 2009, PLANT CELL ENVIRON, V32, P58, DOI 10.1111/j.1365-3040.2008.01895.x
   Etterson JR, 2004, EVOLUTION, V58, P1446, DOI 10.1111/j.0014-3820.2004.tb01726.x
   Ewel JJ., 1990, ECOSYSTEMS FLORIDA
   Franks PJ, 2009, PLANT CELL ENVIRON, V32, P1737, DOI [10.1111/j.1365-3040.2009.002031.x, 10.1111/j.1365-3040.2009.02031.x]
   Franks PJ, 2009, P NATL ACAD SCI USA, V106, P10343, DOI 10.1073/pnas.0904209106
   Franks PJ, 2001, PLANT PHYSIOL, V125, P935, DOI 10.1104/pp.125.2.935
   Geber MA, 2003, INT J PLANT SCI, V164, pS21, DOI 10.1086/368233
   GINDEL I, 1969, ECOLOGY, V50, P263, DOI 10.2307/1934854
   Granda E, 2020, PLANT CELL ENVIRON, V43, P28, DOI 10.1111/pce.13665
   Grulke NE, 2004, TREE PHYSIOL, V24, P1001, DOI 10.1093/treephys/24.9.1001
   Hartman JC, 2012, FUNCT PLANT BIOL, V39, P126, DOI 10.1071/FP11229
   Hetherington AM, 2003, NATURE, V424, P901, DOI 10.1038/nature01843
   Hill KE, 2014, AUST J BOT, V62, P657, DOI 10.1071/BT14204
   Hoshika Y, 2019, SCI TOTAL ENVIRON, V692, P713, DOI 10.1016/j.scitotenv.2019.07.288
   Howard AR, 2007, PLANT PHYSIOL, V143, P145, DOI 10.1104/pp.106.089383
   Huang CW, 2017, NEW PHYTOL, V213, P1093, DOI 10.1111/nph.14273
   Kardiman R, 2018, TREE PHYSIOL, V38, P696, DOI 10.1093/treephys/tpx149
   Kupper P, 2012, ENVIRON EXP BOT, V82, P37, DOI 10.1016/j.envexpbot.2012.03.013
   Lasceve G, 1997, PLANT CELL ENVIRON, V20, P350, DOI 10.1046/j.1365-3040.1997.d01-71.x
   Lawson T, 2019, NEW PHYTOL, V221, P93, DOI 10.1111/nph.15330
   Lefcheck JS, 2016, METHODS ECOL EVOL, V7, P573, DOI 10.1111/2041-210X.12512
   Lowry DB, 2014, AM NAT, V183, P682, DOI 10.1086/675760
   MANSFIELD T, 1961, NATURE, V191, P974, DOI 10.1038/191974a0
   McKown KH, 2020, NEW PHYTOL, V227, P1636, DOI 10.1111/nph.16450
   MCMILLAN C, 1969, AM J BOT, V56, P108, DOI 10.2307/2440401
   MCMILLAN C, 1967, ECOLOGY, V48, P807, DOI 10.2307/1933738
   MCMILLAN C, 1965, AM J BOT, V52, P55, DOI 10.2307/2439975
   Modala NR, 2017, THEOR APPL CLIMATOL, V129, P263, DOI 10.1007/s00704-016-1773-2
   Montoro A, 2020, AGR WATER MANAGE, V229, DOI 10.1016/j.agwat.2019.105882
   MOTT KA, 1982, PLANT CELL ENVIRON, V5, P455, DOI 10.1111/1365-3040.ep11611750
   Neumann RB, 2014, PLANT CELL ENVIRON, V37, P899, DOI 10.1111/pce.12206
   Nobel P.S., 1999, Physicochemical and Environmental Plant Physiology
   O'Keefe K, 2018, FUNCT ECOL, V32, P1155, DOI 10.1111/1365-2435.13072
   Ogle K, 2012, NEW PHYTOL, V194, P464, DOI 10.1111/j.1469-8137.2012.04068.x
   Oliveira BF, 2016, GLOBAL ECOL BIOGEOGR, V25, P1119, DOI 10.1111/geb.12471
   Pandey R, 2007, SCI HORTIC-AMSTERDAM, V113, P74, DOI 10.1016/j.scienta.2007.01.021
   Parrish DJ, 2005, CRIT REV PLANT SCI, V24, P423, DOI 10.1080/07352680500316433
   Phillips NG, 2010, TREE PHYSIOL, V30, P586, DOI 10.1093/treephys/tpq009
   QUARRIE SA, 1977, J EXP BOT, V28, P192, DOI 10.1093/jxb/28.1.192
   R Core Team, 2013, TREE PHYSIOL, DOI DOI 10.1093/TREEPHYS/TPQ009
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Raven JA, 2014, J EXP BOT, V65, P1415, DOI 10.1093/jxb/eru032
   Rehfeldt GE, 2002, GLOBAL CHANGE BIOL, V8, P912, DOI 10.1046/j.1365-2486.2002.00516.x
   de Dios VR, 2016, PLANT CELL ENVIRON, V39, P3, DOI 10.1111/pce.12598
   Rogiers SY, 2013, ANN BOT-LONDON, V111, P433, DOI 10.1093/aob/mcs298
   Rohula G, 2014, ENVIRON EXP BOT, V99, P180, DOI 10.1016/j.envexpbot.2013.11.017
   Sadok W, 2019, J AGRON CROP SCI, V205, P372, DOI 10.1111/jac.12331
   Sadok W, 2016, PLANT CELL ENVIRON, V39, P1, DOI 10.1111/pce.12625
   Schmer MR, 2008, P NATL ACAD SCI USA, V105, P464, DOI 10.1073/pnas.0704767105
   Scholz FG, 2007, TREE PHYSIOL, V27, P551, DOI 10.1093/treephys/27.4.551
   SHARPE PJH, 1973, AGRON J, V65, P570, DOI 10.2134/agronj1973.00021962006500040014x
   Shipley B, 2000, STRUCT EQU MODELING, V7, P206, DOI 10.1207/S15328007SEM0702_4
   Skelton RP, 2012, AUST J BOT, V60, P104, DOI 10.1071/BT11231
   Tamang BG, 2019, PLANTA, V250, P115, DOI 10.1007/s00425-019-03151-0
   Tamang BG, 2018, ENVIRON EXP BOT, V148, P192, DOI 10.1016/j.envexpbot.2017.11.016
   Taylor SH, 2012, NEW PHYTOL, V193, P387, DOI 10.1111/j.1469-8137.2011.03935.x
   TOBIESSEN P, 1982, OECOLOGIA, V52, P356, DOI 10.1007/BF00367959
   Triplett JK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038702
   Voltas J, 2008, TREES-STRUCT FUNCT, V22, P759, DOI 10.1007/s00468-008-0236-5
   Yang XX, 2014, BASIC APPL ECOL, V15, P122, DOI 10.1016/j.baae.2014.01.003
   YU J, 2020, FRONTIERS PLANT SCI, V11
   Yu KL, 2019, NEW PHYTOL, V222, P1778, DOI 10.1111/nph.15755
   Yu TF, 2018, ECOL EVOL, V8, P2607, DOI 10.1002/ece3.3875
   Zeppel MJB, 2014, TREE PHYSIOL, V34, P1047, DOI 10.1093/treephys/tpu089
   Zeppel MJB, 2012, NEW PHYTOL, V193, P929, DOI 10.1111/j.1469-8137.2011.03993.x
   Zhang YW, 2011, CROP SCI, V51, P2626, DOI 10.2135/cropsci2011.02.0104
   Zhang YW, 2011, GENETICA, V139, P933, DOI 10.1007/s10709-011-9597-6
   Zhang ZD, 2019, AGR FOREST METEOROL, V279, DOI 10.1016/j.agrformet.2019.107733
NR 92
TC 9
Z9 10
U1 3
U2 78
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 FEB
PY 2021
VL 229
IS 4
BP 2020
EP 2034
DI 10.1111/nph.16987
EA NOV 2020
PG 15
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA PT2ZM
UT WOS:000584833700001
PM 33037633
OA Bronze
DA 2025-01-10
ER

PT J
AU Feng, X
   Sun, BL
   Zhang, HH
   Yu, PQ
AF Feng, Xin
   Sun, Baoli
   Zhang, Huihua
   Yu, Peiqiang
TI Using advanced vibrational molecular spectroscopy to detect moist
   heating induced protein structure changes in cool-climate adapted barley
   grain
SO PLOS ONE
LA English
DT Article
ID IN-VITRO; MICROWAVE IRRADIATION; INTESTINAL DIGESTION; CARBOHYDRATE;
   DEGRADATION; STARCH; RUMEN; DEGRADABILITY; DIGESTIBILITY; FERMENTATION
AB Different techniques have been applied in feed processing to improve ruminal degradation and nutrient utilization in ruminant. There are limited studies investigating how moist heating process impacts barley protein utilization and internal molecular structures. The objectives of this study were to investigate: 1) how moist heating affects barley protein chemical profiles and Cornell Net Carbohydrate and Protein System (CNCPS) subfractions, in situ rumen degradation parameters, and predicted intestinal protein supply and feed milk value; 2) how moist heating affects protein molecular spectral features; and 3) the relationship between protein molecular structure spectral features and protein chemical profiles and metabolic characteristics. The barley variety CDC cowboy samples collected from the research farm during two consecutive years were used. Half of each sample was kept as raw and the other half underwent moist heating. The advanced molecular spectroscopy (attenuated total reflectance-fourier transform infrared, ATR-FTIR) was used to detect the barley protein molecular structure spectral features. It was found that moist heating decreased the fractions of soluble protein and increased the moderately degradable protein and ingestible protein fractions. This further resulted in the changes of in situ rumen degradation parameters and intestinal protein digestion characteristics. The protein molecular structure spectral features detected by using ATR-FTIR spectroscopy can be used as potential predictors for protein related chemical and metabolic parameters.
C1 [Feng, Xin; Sun, Baoli; Yu, Peiqiang] Univ Saskatchewan, Coll Agr & Bioresources, Dept Anim & Poultry Sci, Saskatoon, SK, Canada.
   [Feng, Xin; Zhang, Huihua] Foshan Univ, Sch Life Sci & Engn, Foshan, Peoples R China.
   [Sun, Baoli] South China Agr Univ, Coll Anim Sci, Guangzhou, Peoples R China.
C3 University of Saskatchewan; Foshan University; South China Agricultural
   University
RP Yu, PQ (corresponding author), Univ Saskatchewan, Coll Agr & Bioresources, Dept Anim & Poultry Sci, Saskatoon, SK, Canada.
EM peiqiang.yu@usask.ca
RI Feng, Xin/AAA-1938-2022; Zhang, Huihua/HJY-0843-2023; weixian,
   zhang/H-4046-2013
OI weixian, zhang/0000-0002-0250-4013
FU Ministry of Agriculture Strategic Research Chair; Agricultural
   Development Fund (ADF); Saskatchewan Pulse Growers (SPG); SaskCanola;
   Natural Sciences and Engineering Research Council of Canada
   (NSERC-Individual Discovery Grant); Natural Sciences and Engineering
   Research Council of Canada (NSERC-CRD Grant); Saskatchewan Agriculture
   Strategic Research Chair Program; SaskMilk; Saskatchewan Forage Network
   (SNK); Western Grain Research Foundation (WGRF); Prairie Oat Grower
   Associations (POGA)
FX This work was supported by The Ministry of Agriculture Strategic
   Research Chair (to PY), Programs fund from the Agricultural Development
   Fund (ADF), the Saskatchewan Pulse Growers (SPG), the SaskCanola, the
   Natural Sciences and Engineering Research Council of Canada
   (NSERC-Individual Discovery Grant and NSERC-CRD Grant), the Saskatchewan
   Agriculture Strategic Research Chair Program, the SaskMilk, the
   Saskatchewan Forage Network (SNK), the Western Grain Research Foundation
   (WGRF), and the Prairie Oat Grower Associations (POGA).The funders had
   no role in study design, data collection and analysis, decision to
   publish, or preparation of the manuscript.
CR [Anonymous], 2001, NATL ACAD SCI
   Association of Official Analytical Chemists, 1990, Official methods of analysis, V15nd
   CALSAMIGLIA S, 1995, J ANIM SCI, V73, P1459
   Canadian Council on Animal Care, 2009, TEACHING TESTING, VII, P103
   Dehghan-Banadaky M, 2007, ANIM FEED SCI TECH, V137, P1, DOI 10.1016/j.anifeedsci.2006.11.021
   England S, 1990, METHODS ENZYMOL, V182
   Goelema JO, 1999, ANIM FEED SCI TECH, V78, P109, DOI 10.1016/S0377-8401(98)00266-1
   Kennelly J, 1995, ADV DAIRY TECHNOL, V7, P259
   Khan NA, 2015, J AGR FOOD CHEM, V63, P1057, DOI 10.1021/jf503575y
   KHORASANI GR, 1994, J DAIRY SCI, V77, P813, DOI 10.3168/jds.S0022-0302(94)77016-8
   Licitra G, 1996, ANIM FEED SCI TECH, V57, P347, DOI 10.1016/0377-8401(95)00837-3
   Mathison GW, 1996, ANIM FEED SCI TECH, V58, P113, DOI 10.1016/0377-8401(95)00878-0
   MCCARTHY RD, 1989, J DAIRY SCI, V72, P2002, DOI 10.3168/jds.S0022-0302(89)79324-3
   MCNIVEN MA, 1994, ANIM FEED SCI TECH, V47, P31, DOI 10.1016/0377-8401(94)90157-0
   Nikkhah A, 2006, J ANIM SCI, V84, P369
   Nikkhah A, 2012, J ANIM SCI BIOTECHNO, V3, DOI 10.1186/2049-1891-3-22
   ORSKOV ER, 1981, ANIM FEED SCI TECH, V6, P273, DOI 10.1016/0377-8401(81)90006-7
   ORSKOV ER, 1979, J AGR SCI-CAMBRIDGE, V92, P499, DOI 10.1017/S0021859600063048
   Peng QH, 2014, J DAIRY SCI, V97, P446, DOI 10.3168/jds.2013-7298
   Prestlokken E, 1999, ANIM FEED SCI TECH, V82, P157, DOI 10.1016/S0377-8401(99)00110-8
   ROE MB, 1990, PROCEEDINGS 1990 : CORNELL NUTRITION CONFERENCE FOR FEED MANUFACTURERS, P81
   RUSSELL JB, 1983, J DAIRY SCI, V66, P763, DOI 10.3168/jds.S0022-0302(83)81856-6
   Sadeghi AA, 2005, ANIM SCI, V80, P369, DOI 10.1079/ASC40820369
   TAMMINGA S, 1994, LIVEST PROD SCI, V40, P139, DOI 10.1016/0301-6226(94)90043-4
   VALENTINE S C, 1980, Proceedings of the Australian Society of Animal Production, V13, P397
   Van Amburgh ME, 2015, J DAIRY SCI, V98, P6361, DOI 10.3168/jds.2015-9378
   Voragen AGJ, 1995, REC ADV AN, P93
   Xin HS, 2013, SPECTROCHIM ACTA A, V112, P318, DOI 10.1016/j.saa.2013.04.073
   Yu GQ, 2015, SPECTROCHIM ACTA A, V151, P980, DOI 10.1016/j.saa.2015.06.050
   Yu P, 2007, AM J BIOCH BIOTECHNO, V3, P66, DOI [10.3844/ajbbsp.2007.66.86, DOI 10.3844/AJBBSP.2007.66.86]
NR 30
TC 2
Z9 2
U1 0
U2 8
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 JUN 5
PY 2020
VL 15
IS 6
AR e0234126
DI 10.1371/journal.pone.0234126
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA MA6QB
UT WOS:000542035700017
PM 32502162
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Armbruster, P
   Conn, JE
AF Armbruster, Peter
   Conn, Jan E.
TI Geographic variation of larval growth in North American <i>Aedes
   albopictus</i> (Diptera: Culicidae)
SO ANNALS OF THE ENTOMOLOGICAL SOCIETY OF AMERICA
LA English
DT Article
DE Aedes albopictus; larval growth; invasion biology; life history
ID PITCHER-PLANT MOSQUITO; DROSOPHILA-MELANOGASTER; MORPHOLOGICAL
   CHARACTERS; CLIMATIC ADAPTATION; GENETIC-STRUCTURE; UNITED-STATES;
   POPULATIONS; EVOLUTION; CLINE; SIZE
AB The Asian tiger mosquito, Aedes albopictus (Skuse) (Diptera: Culicidae), invaded eastern North America in 1985 and subsequently spread across a range of approximate to 14 degrees latitude. We used a common garden, full-sib experimental design to assess population differentiation and quantify within-population genetic variance for larval growth rate, body size (=pupal mass), and preadult developmental period of three populations from each of Florida (approximate to 27 degrees N), Texas (approximate to 29 degrees N), and New Jersey (approximate to 40 degrees N) reared at both 16 and 26 degrees C. Both larval growth rate and body size were affected by a three-way interaction between region (Florida, Texas, and New Jersey), temperature, and sex, indicating that regional differences depended upon both temperature and sex. We found consistent but weak trends toward increased larval growth rate, increased pupal mass, and decreased preadult developmental period in northern relative to southern populations. Among-family (genetic) variance of pupal mass was significantly greater in New Jersey than in Texas and Florida populations at 16 degrees C but not 26 degrees C. Among-family variance for larval growth rate and preadult developmental period did not differ among regions. These results are discussed with respect to the life history evolution of Ae. albopictus across its range in North America.
C1 Univ Vermont, Dept Biol, Burlington, VT 05405 USA.
   Georgetown Univ, Dept Biol, Washington, DC 20057 USA.
C3 University of Vermont; Georgetown University
RP Armbruster, P (corresponding author), Univ Vermont, Dept Biol, Burlington, VT 05405 USA.
EM paa9@georgetown.edu
OI Conn, Jan/0000-0002-5301-7020
CR Alpatov WW, 1929, Q REV BIOL, V4, P1, DOI 10.1086/394322
   ANDREWARTHA HG, 1952, BIOL REV, V27, P50, DOI 10.1111/j.1469-185X.1952.tb01363.x
   [Anonymous], 1999, SAS/STAT Users Guide. Ver 8.1
   Armbruster P, 2003, J MED ENTOMOL, V40, P356, DOI 10.1603/0022-2585-40.3.356
   Armbruster P, 2002, J MED ENTOMOL, V39, P699, DOI 10.1603/0022-2585-39.4.699
   Arnett AE, 1999, EVOLUTION, V53, P1180, DOI [10.2307/2640821, 10.1111/j.1558-5646.1999.tb04531.x]
   Birungi J, 2002, ANN ENTOMOL SOC AM, V95, P125, DOI 10.1603/0013-8746(2002)095[0125:GSOAAD]2.0.CO;2
   BLACK WC, 1988, HEREDITY, V60, P173, DOI 10.1038/hdy.1988.29
   Bradshaw WE, 2004, EVOLUTION, V58, P1748, DOI 10.1111/j.0014-3820.2004.tb00458.x
   BRADSHAW WE, 1995, ECOLOGY, V76, P2055, DOI 10.2307/1941680
   Bradshaw WE, 2000, ECOLOGY, V81, P1262
   BRYANT EH, 1977, EVOLUTION, V31, P580, DOI 10.1111/j.1558-5646.1977.tb01046.x
   CONOVER DO, 1995, TRENDS ECOL EVOL, V10, P248, DOI 10.1016/S0169-5347(00)89081-3
   COYNE JA, 1987, GENETICS, V117, P727
   Danilevskii A. S., 1965, Photoperiodism and seasonal development of insects., P283
   Danks HV., 1987, INSECT DORMANCY ECOL
   DAVID JR, 1975, EXPERIENTIA, V31, P164, DOI 10.1007/BF01990682
   Endler J.A., 1977, Monographs in Population Biology, pi
   FALCONER DS, 1996, INTRO QUANTITIATIVE
   Gilchrist GW, 2004, EVOLUTION, V58, P768, DOI 10.1111/j.0014-3820.2004.tb00410.x
   GOTTHARD K, 1994, OECOLOGIA, V99, P281, DOI 10.1007/BF00627740
   Hawley W.A., 1988, Journal of the American Mosquito Control Association, V4, P1
   HAWLEY WA, 1987, SCIENCE, V236, P1114, DOI 10.1126/science.3576225
   Huey RB, 2000, SCIENCE, V287, P308, DOI 10.1126/science.287.5451.308
   JAMES AC, 1995, GENETICS, V140, P659
   JAMES AC, 1995, J EVOLUTION BIOL, V8, P315, DOI 10.1046/j.1420-9101.1995.8030315.x
   KAMBHAMPATI S, 1991, HEREDITY, V67, P85, DOI 10.1038/hdy.1991.67
   KAMBHAMPATI S, 1990, HEREDITY, V64, P281, DOI 10.1038/hdy.1990.34
   LONG AD, 1995, HEREDITY, V74, P569, DOI 10.1038/hdy.1995.81
   LONSDALE DJ, 1985, ECOLOGY, V66, P1397, DOI 10.2307/1938002
   Lounibos LP, 2003, ANN ENTOMOL SOC AM, V96, P512, DOI 10.1603/0013-8746(2003)096[0512:AEOPDI]2.0.CO;2
   Lynch Michael, 1998
   MASAKI S, 1978, OECOLOGIA, V35, P343, DOI 10.1007/BF00345141
   MASAKI S, 1972, EVOLUTION, V26, P587, DOI 10.1111/j.1558-5646.1972.tb01966.x
   MCDANIEL IN, 1957, SCIENCE, V125, P745, DOI 10.1126/science.125.3251.745
   Moore CG, 1999, J AM MOSQUITO CONTR, V15, P221
   MORI A, 1981, Tropical Medicine, V23, P79
   OMEARA GF, 1995, J MED ENTOMOL, V32, P554, DOI 10.1093/jmedent/32.4.554
   Partridge L., 1996, ANIMALS TEMPERATURE, P265
   PEGUEROLES G, 1995, EVOL ECOL, V9, P453, DOI 10.1007/BF01237767
   Robinson SJW, 2001, J EVOLUTION BIOL, V14, P14, DOI 10.1046/j.1420-9101.2001.00259.x
   ROFF D, 1980, OECOLOGIA, V45, P202, DOI 10.1007/BF00346461
   Roff Derek, 2002, pi
   Sokal R. R., 1995, Biometry: The Principles of Statistics in Biological Research
   SOKOLOFF A, 1965, EVOLUTION, V19, P300, DOI 10.2307/2406440
   SPRENGER D, 1986, J AM MOSQUITO CONTR, V2, P217
   STALKER HD, 1947, EVOLUTION, V1, P237, DOI 10.2307/2405325
   Stearns S.C., 1992, pi
   Taylor F., 1986, P66
   van't Land J, 1999, J EVOLUTION BIOL, V12, P222, DOI 10.1046/j.1420-9101.1999.00029.x
   Wang R. l., 1966, Acta Entomologica Sinica, V15, P75
   WATADA M, 1986, JPN J GENET, V61, P469, DOI 10.1266/jjg.61.469
   Yamahira K, 2002, ECOLOGY, V83, P1252, DOI 10.1890/0012-9658(2002)083[1252:IVILVI]2.0.CO;2
NR 53
TC 55
Z9 66
U1 1
U2 30
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 0013-8746
EI 1938-2901
J9 ANN ENTOMOL SOC AM
JI Ann. Entomol. Soc. Am.
PD NOV
PY 2006
VL 99
IS 6
BP 1234
EP 1243
DI 10.1603/0013-8746(2006)99[1234:GVOLGI]2.0.CO;2
PG 10
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA 105ME
UT WOS:000242033400026
OA Bronze
DA 2025-01-10
ER

PT C
AU Cooman, A
   Medina, A
   Schrevens, E
   Tenorio, J
AF Cooman, A
   Medina, A
   Schrevens, E
   Tenorio, J
BE VanStraten, G
   Bot, GPA
   VanMeurs, WTM
   Marcelis, LMF
TI Simulation of greenhouse management for the cultivation of tomato in the
   high altitude tropics
SO Proceedings of the International Conference on Sustainable Greenhouse
   Systems, Vols 1 and 2
SE ACTA HORTICULTURAE
LA English
DT Proceedings Paper
CT International Conference on Sustainable Greenhouse Systems
CY SEP 12-16, 2004
CL Louvain, BELGIUM
DE tomato; simulation model; TOMGRO; greenhouse climate; productivity
AB The second version of the modified TOMGRO model was used to simulate the production of a tomato crop in 8 hypothetical greenhouse adaptations in the Bogota Plateau; near to the equator and at 2650 m above sea level. An inflatable polyethylene tube, a thermal screen, heating and CO2 fertilisation were evaluated. With these strategies a range of average temperatures between 14.7 and 20.0 degrees C was calculated, using some basic assumptions that were deduced from literature and from previous experiments. The maximum productivity and gross income increased as the average greenhouse temperature increased, despite small decreases in greenhouse transmissivity due to the installation of a PE tube or climate screen. The maximum productivity without CO2 fertilisation was obtained in a treatment heated to maintain a minimum temperature of 18 degrees C, resulting in a fruit yield of 41.7 kg center dot m(-2) for a 300-day growth period. For each climate treatment, a combination of planting density and fruit pruning can be selected to obtain the desired average fruit weight in a range of nearly 25 g, without affecting gross income. Only a small effect of CO2 fertilisation was detected, due to the opening of the greenhouse during most of the day. The simulation model showed reasonable results, in accordance to data from the growers, and can thus be used for calculating other hypothetical climate adaptation strategies and evaluate micro-climates in the high altitude tropics.
C1 Univ Bogota, Chia 140196, Colombia.
RP Cooman, A (corresponding author), Univ Bogota, Jorge Tadeo Lozano AA, Chia 140196, Colombia.
CR Aldrich R.A., 1994, Greenhouse engineering
   BERTIN N, 1993, THESIS I NATL AGRONO
   COOMAN A, 1996, EVALUACCION EFECTO P, P13
   COOMAN A, 1999, ACTA HORTIC, V482, P377
   COOMAN A, 2002, THESIS KATHOLIEKE U
   GARY C, 1995, ACTA HORTIC, V399, P199
   GARY C, 1996, ACT SEM AIP INT SERR, P90
   Heuvelink E., 1996, Tomato growth and yield: quantitative analysis and synthesis
   Ioslovich I, 1998, T ASAE, V41, P1139, DOI 10.13031/2013.17261
   JONES P, 1990, T ASAE, V33, P1722, DOI 10.13031/2013.31532
   SEGINER I, 1994, SCI HORTIC-AMSTERDAM, V60, P55, DOI 10.1016/0304-4238(94)90062-0
NR 11
TC 4
Z9 5
U1 0
U2 3
PU INTERNATIONAL SOCIETY HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
BN 90-6605-030-6
J9 ACTA HORTIC
PY 2005
IS 691
BP 75
EP 82
DI 10.17660/ActaHortic.2005.691.6
PG 8
WC Agricultural Engineering; Agronomy; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture
GA BDJ31
UT WOS:000233798600006
DA 2025-01-10
ER

PT J
AU Bryan, MD
   Thorson, JT
AF Bryan, Meaghan D.
   Thorson, James T.
TI The performance of model-based indices given alternative sampling
   strategies in a climate-adaptive survey design
SO FRONTIERS IN MARINE SCIENCE
LA English
DT Article
DE spatio-temporal models; fishery-independent sampling; abundance indices;
   climate change; Bering Sea
ID BERING-SEA; ABUNDANCE; STOCK; DYNAMICS; NORTHERN
AB Species-distribution shifts are becoming commonplace due to climate-driven change. Difficult decisions to modify survey extent and frequency are often made due to this change and constraining survey budgets. This often leads to spatially and temporally unbalanced survey coverage. Spatio-temporal models are increasingly used to account for spatially unbalanced sampling data when estimating abundance indices used for stock assessment, but their performance in these contexts has received little research attention. We therefore seek to answer two questions: (1) how well can a spatio-temporal model estimate the proportion of abundance in a new "climate-adaptive" spatial stratum? and (2) when sampling must be reduced, does annual sampling at reduced density or biennial sampling result in better model-based abundance indices? We develop a spatially varying coefficient model in the R package VAST using the eastern Bering Sea (EBS) bottom trawl survey and its northern Bering Sea (NBS) extension to address these questions. We first reduce the spatial extent of survey data for 30 out of 38 years of a real survey in the EBS and fit a spatio-temporal model to four commercially important species using these "data-reduction" scenarios. This shows that a spatio-temporal model generally produces similar trends and density estimates over time when large portions of the sampling domain are not sampled. However, when the central distribution of a population is not sampled the estimates are inaccurate and have higher uncertainty. We also conducted a simulation experiment conditioned upon estimates for walleye pollock (Gadus chalcogrammus) in the EBS and NBS. Many species in this region are experiencing distributional shifts attributable to climate change with species historically centered in the southeastern portion of the survey being increasingly encountered in the NBS. The NBS was occasionally surveyed in the past, but has been surveyed more regularly in recent years to document distributional shifts. Expanding the survey to the NBS is costly and given limited resources the utility of reducing survey frequency versus reducing sampling density to increase survey spatial extent is under debate. To address this question, we simulate survey data from alternative sampling designs that involve (1) annual full sampling, (2) reduced sampling in the NBS every year, or (3) biennial and full sampling in the NBS. Our results show that annual sampling, even with reduced sampling density, provides less biased abundance information than biennial sampling. We therefore conclude that ideally fishery-independent surveys should be conducted annually and spatio-temporal models can help to provide reliable estimates.
C1 [Bryan, Meaghan D.; Thorson, James T.] NOAA, Natl Marine Fisheries Serv, Alaska Fisheries Sci Ctr, Seattle, WA 98112 USA.
C3 National Oceanic Atmospheric Admin (NOAA) - USA
RP Bryan, MD (corresponding author), NOAA, Natl Marine Fisheries Serv, Alaska Fisheries Sci Ctr, Seattle, WA 98112 USA.
EM meaghan.bryan@noaa.gov
RI Thorson, James/O-7937-2014
CR Bakkala R. G., 1993, 114 NMFS NOAA US DEP, P86
   Francis RICC, 2011, CAN J FISH AQUAT SCI, V68, P1124, DOI 10.1139/F2011-025
   Grüss A, 2019, ICES J MAR SCI, V76, P1748, DOI 10.1093/icesjms/fsz075
   ICES, 2020, WORKSH UN SURV EFF R
   Kearney KA, 2021, J GEOPHYS RES-OCEANS, V126, DOI 10.1029/2021JC017545
   LO NCH, 1992, CAN J FISH AQUAT SCI, V49, P2515, DOI 10.1139/f92-278
   Markowitz E. H., 2022, NMFSAFSC452 NOAA US, P215
   Maunder MN, 2017, FISH RES, V192, P1, DOI 10.1016/j.fishres.2017.03.006
   Maunder MN, 2004, FISH RES, V70, P141, DOI 10.1016/j.fishres.2004.08.002
   Mueter FJ, 2008, ECOL APPL, V18, P309, DOI 10.1890/07-0564.1
   O'Leary CA, 2022, ICES J MAR SCI, V79, P1063, DOI 10.1093/icesjms/fsac046
   O'Leary CA, 2020, FISH OCEANOGR, V29, P541, DOI 10.1111/fog.12494
   Oyafuso ZS, 2021, ICES J MAR SCI, V78, P1288, DOI 10.1093/icesjms/fsab038
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Perretti CT, 2019, FISH RES, V215, P62, DOI 10.1016/j.fishres.2019.03.006
   Pinsky ML, 2013, SCIENCE, V341, P1239, DOI 10.1126/science.1239352
   Poloczanska ES, 2013, NAT CLIM CHANGE, V3, P919, DOI [10.1038/nclimate1958, 10.1038/NCLIMATE1958]
   Punt AE, 2017, FISH RES, V192, P52, DOI 10.1016/j.fishres.2015.12.006
   Shelton AO, 2014, CAN J FISH AQUAT SCI, V71, P1655, DOI 10.1139/cjfas-2013-0508
   Spies I, 2020, EVOL APPL, V13, P362, DOI 10.1111/eva.12874
   Stabeno PJ, 2012, DEEP-SEA RES PT II, V65-70, P14, DOI 10.1016/j.dsr2.2012.02.019
   Stauffer G., 2004, NMFSFSPO65 NOAA US D, P205
   Stefansson G, 1996, ICES J MAR SCI, V53, P577, DOI 10.1006/jmsc.1996.0079
   Stevenson DE, 2019, POLAR BIOL, V42, P407, DOI 10.1007/s00300-018-2431-1
   Thompson G. G., 2019, STOCK ASSESSMENT FIS
   Thorson JT, 2023, ECOGRAPHY, V2023, DOI 10.1111/ecog.06510
   Thorson JT, 2021, ECOGRAPHY, V44, P612, DOI 10.1111/ecog.05471
   Thorson JT, 2019, LIMNOL OCEANOGR, V64, P2632, DOI 10.1002/lno.11238
   Thorson JT, 2019, CAN J FISH AQUAT SCI, V76, P401, DOI 10.1139/cjfas-2018-0015
   Thorson JT, 2019, FISH RES, V210, P143, DOI 10.1016/j.fishres.2018.10.013
   Thorson JT, 2018, CAN J FISH AQUAT SCI, V75, P1369, DOI 10.1139/cjfas-2017-0266
   Thorson JT, 2017, ICES J MAR SCI, V74, P1311, DOI 10.1093/icesjms/fsw193
   Thorson JT, 2016, FISH RES, V175, P66, DOI 10.1016/j.fishres.2015.11.016
   Thorson JT, 2015, ICES J MAR SCI, V72, P1297, DOI 10.1093/icesjms/fsu243
   Thorson JT, 2013, FISH RES, V147, P426, DOI 10.1016/j.fishres.2013.03.012
   Wyllie-Echeverria T, 1998, FISH OCEANOGR, V7, P159, DOI 10.1046/j.1365-2419.1998.00058.x
NR 36
TC 2
Z9 3
U1 2
U2 5
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 JUL 5
PY 2023
VL 10
AR 1198260
DI 10.3389/fmars.2023.1198260
PG 12
WC Environmental Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA M6IN0
UT WOS:001031233700001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Choukai, O
   Zejli, D
AF Choukai, Oumaima
   Zejli, Driss
TI Modeling of Seawater Greenhouse by a block diagram environment program
   and an equations solver program and simulations on different Moroccan
   locations
SO DESALINATION AND WATER TREATMENT
LA English
DT Article
DE Seawater; Greenhouse; Modeling; Desalination; Water; Block; Solver;
   Equations; Location; Morocco
AB In the optic of water production with pollution reduction, we treat, in this paper, humidification- dehumidification desalination process, called Seawater Greenhouse (SWGH), using an agricultural greenhouse with solar collectors as a roof, combining irrigation and desalination functions by a low-temperature distillation method. Indeed, two SWGH models were achieved, the first one on a block diagram environment program and the second one on an equations solver program. Thus, we are going to present and analyze the simulation results, provided by these models, made for dif-ferent parameters and locations, in order to estimate the outlet freshwater amount depending on the site choice. As a conclusion, we will be able to draw a choice technique of the most beneficial environmental, meteorological, and geographic place of SWGH implantation, where a great pro-ducible is reachable. And thanks to this technique we have confirmed that Morocco can, techni-cally, be very beneficial for the implantation of this desalination process, given its perfectly adapted climate with a producible exceeding 1,000 L of freshwater per day.
C1 [Choukai, Oumaima; Zejli, Driss] Ibn Tofail Univ, Natl Sch Appl Sci ENSA, Kenitra 14000, Morocco.
C3 Ibn Tofail University of Kenitra
RP Choukai, O (corresponding author), Ibn Tofail Univ, Natl Sch Appl Sci ENSA, Kenitra 14000, Morocco.
EM choukai.oumaima@gmail.com; driss.zejli@uit.ac.ma
OI Choukai, Oumaima/0000-0002-4611-3583
CR Beckman J.R, 1999, 98FC810049
   Hajiamiri M., 2013, LIFE SCI J, V10, P353
   HCP Centre d'Etudes et de Recherches Demographiques, 2014, HAUT COMM PLAN
   Houcine I, 2006, DESALINATION, V196, P105, DOI 10.1016/j.desal.2005.11.022
   Seynhaeve J.M, AIR HUMIDE, P2363
   UNFCCC, 2016, 3 COMM NAT CONV NAT
NR 6
TC 1
Z9 1
U1 0
U2 4
PU DESALINATION PUBL
PI HOPKINTON
PA 36 WALCOTT VALLEY DRIVE,, HOPKINTON, MA 01748 USA
SN 1944-3994
EI 1944-3986
J9 DESALIN WATER TREAT
JI Desalin. Water Treat.
PD NOV
PY 2021
VL 240
BP 203
EP 209
DI 10.5004/dwt.2021.27703
PG 7
WC Engineering, Chemical; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA XC4OD
UT WOS:000721993100020
DA 2025-01-10
ER

PT J
AU Liu, M
   Huang, JK
   Dries, L
   Heijman, W
   Zhu, XQ
AF Liu, Min
   Huang, Jikun
   Dries, Liesbeth
   Heijman, Wim
   Zhu, Xueqin
TI How does land tenure reform impact upon pastoral livestock production?
   An empirical study for Inner Mongolia, China
SO CHINA ECONOMIC REVIEW
LA English
DT Article
DE Property right; Use right; Livestock population; Meat output; Livestock
   productivity; Fixed effects model
ID GRASSLAND DEGRADATION; CLIMATE ADAPTATION; POVERTY REDUCTION;
   PROPERTY-RIGHTS; POLICY; MANAGEMENT; CONSEQUENCES; ARRANGEMENTS;
   LIVELIHOODS; OWNERSHIP
AB This paper investigates how land tenure reform has affected livestock production in the pastoral areas of China. County-level data for Inner Mongolia between 1985 and 2008 are used in a fixed effects model to disentangle the effects of land tenure reform on livestock production from factors related to market forces, grassland condition, technological development and environmental heterogeneity. The results show that the implementation of the land tenure reform slowed down the increase in livestock production, although it did not completely stop this increase. It therefore appears that land reform is in itself unable to offset the impact of other factors that accelerate the increase in livestock production. Moreover, the constraining effect of the land tenure reform on the increase in livestock production decreases over time, and ultimately disappears. Finally, the constraining effect of the land tenure reform was shown to be stronger on the increase of the livestock population than on that of meat output. This indicates that the land tenure reform has helped to improve livestock productivity.
C1 [Liu, Min] Peking Univ, China Ctr Agr Policy, Beijing, Peoples R China.
   [Liu, Min; Dries, Liesbeth; Heijman, Wim] Wageningen Univ, Dept Social Sci, Agr Econ & Rural Policy Grp, Wageningen, Netherlands.
   [Huang, Jikun] Peking Univ, China Ctr Agr Policy, Sch Adv Agr Sci, Beijing, Peoples R China.
   [Zhu, Xueqin] Wageningen Univ, Dept Social Sci, Environm Econ & Nat Resources Grp, Wageningen, Netherlands.
C3 Peking University; Wageningen University & Research; Peking University;
   Wageningen University & Research
RP Huang, JK (corresponding author), Peking Univ, China Ctr Agr Policy, Sch Adv Agr Sci, Beijing, Peoples R China.
EM min.liu@pku.edu.cn; jkhuang.ccap@pku.edu.cn; liesbeth.dries@wur.nl;
   wim.heijman@wur.nl; xueqin.zhu@wur.nl
RI Zhu, Xueqin/K-9471-2013
OI Zhu, Xueqin/0000-0002-5772-1090; Dries, Liesbeth/0000-0002-1061-1441;
   liu, min/0000-0001-6260-0480
FU National Natural Sciences Foundation of China [71333013]; Chinese
   Academy of Engineering [2013-ZD-19]; Swiss Agency for Development and
   Cooperation's Global Programme on Climate Change [ACCC-027]
FX This work was supported by the National Natural Sciences Foundation of
   China (71333013), the Chinese Academy of Engineering (2013-ZD-19) and
   the Swiss Agency for Development and Cooperation's Global Programme on
   Climate Change (ACCC-027). The authors would like to thank Xiangzheng
   Deng, Fujiang Hou, Dan Wang, Yangjie Wang and Jie Zhou for their useful
   suggestions and help. We are also grateful to Nico Heerink, Xiaoping Shi
   and the anonymous reviewers for their helpful comments that contributed
   to improve the quality of this paper.
CR Angerer J., 2008, RANGELANDS, V30, P46, DOI [10.2111/1551-501X(2008)30, DOI 10.2111/1551-501X(2008)30[46:CCAEOA]2.0.CO;2, 10.2111/1551-501X(2008)3046:CCAEOA2.0.CO;2]
   [Anonymous], LAND TENURE RE UNPUB
   [Anonymous], REP PROGR PRIV GRASS
   [Anonymous], RANG CENTR AS P C TR
   [Anonymous], HIST AN HUSB INN MON
   [Anonymous], CHIN NAT GRASSL MON
   [Anonymous], J LAND USE SCI
   Banks T, 2003, WORLD DEV, V31, P2129, DOI 10.1016/j.worlddev.2003.06.010
   Banks T, 2003, MT RES DEV, V23, P132, DOI 10.1659/0276-4741(2003)023[0132:CGMIWC]2.0.CO;2
   Banski J, 2017, LAND USE POLICY, V66, P120, DOI 10.1016/j.landusepol.2017.04.045
   Boone Randall B., 2004, African Journal of Range & Forage Science, V21, P147, DOI 10.2989/10220110409485847
   Boone RB, 2005, RANGELAND ECOL MANAG, V58, P523, DOI 10.2111/1551-5028(2005)58[523:QDILDT]2.0.CO;2
   COASE RH, 1960, J LAW ECON, V3, P1, DOI 10.1086/466560
   Conte TJ, 2015, J POLIT ECOL, V22, P79, DOI 10.2458/v22i1.21079
   Daun-Barnett N, 2011, HIGH EDUC POLICY, V24, P377, DOI 10.1057/hep.2011.10
   Deng XZ, 2011, ENVIRON DEV ECON, V16, P751, DOI 10.1017/S1355770X11000180
   Fergusson DM, 2002, J ABNORM CHILD PSYCH, V30, P419, DOI 10.1023/A:1015774125952
   Fernandez-Gimenez ME, 2000, ECOL APPL, V10, P1318, DOI 10.1890/1051-0761(2000)010[1318:TROMNP]2.0.CO;2
   Fernández-Giménez ME, 2002, HUM ECOL, V30, P49, DOI 10.1023/A:1014562913014
   Finan F, 2005, J DEV ECON, V77, P27, DOI 10.1016/j.jdeveco.2004.02.004
   HARDIN G, 1968, SCIENCE, V162, P1243, DOI 10.1126/science.162.3859.1243
   Harris Marshall., 1953, Origin of the Land Tenure System in the United States
   Henry B, 2012, CROP PASTURE SCI, V63, P191, DOI 10.1071/CP11169
   Hinton W., 1990, The Privatisation of China, the Great Reversal
   Ho P, 2000, CHINA QUART, P240
   Ho P., 1996, Pastoral Development Network Series, V39
   Hobbs NT, 2008, GLOBAL ENVIRON CHANG, V18, P776, DOI 10.1016/j.gloenvcha.2008.07.011
   Hu W, 1997, LAND USE POLICY, V14, P175, DOI 10.1016/S0264-8377(97)00010-0
   Hua LM, 2015, LAND USE POLICY, V43, P129, DOI 10.1016/j.landusepol.2014.11.004
   Huang QQ, 2006, FOOD POLICY, V31, P30, DOI 10.1016/j.foodpol.2005.06.004
   Komarek AM, 2012, FOOD POLICY, V37, P12, DOI 10.1016/j.foodpol.2011.10.001
   Krusekopf CC, 2002, CHINA ECON REV, V13, P297, DOI 10.1016/S1043-951X(02)00071-8
   Li J, 2012, NOMAD PEOPLES, V16, P36, DOI 10.3167/np.2012.160105
   Li W., 2009, Interpretation the predicament on pastural area of China: fosucing on the use and management issues for arid and semi-arid grassland
   Li WJ, 2007, J ENVIRON MANAGE, V85, P461, DOI 10.1016/j.jenvman.2006.10.010
   Li WJ, 2011, ECOL SOC, V16
   Li XL, 2008, RANGELAND J, V30, P211, DOI 10.1071/RJ08011
   Li Y., 2014, A review of China's rangeland management policies IIED Country Report
   Liao Z., 2009, Issues in Agricultural Economy, V4, P64, DOI [10.13246/j.cnki.iae.2009.04.012, DOI 10.13246/J.CNKI.IAE.2009.04.012]
   Liu C, 2010, ENVIRON MANAGE, V45, P526, DOI 10.1007/s00267-010-9433-2
   Liu M, 2018, LAND DEGRAD DEV, V29, P326, DOI 10.1002/ldr.2692
   McEvoy A.F., 1987, Environmental History Review, V11, P289, DOI DOI 10.2307/3984137
   Mei H., 2013, Journal of Food, Agriculture and Environment, V11, P2071
   Mwangi E., 2007, Socioeconomic change and land use in Africa: The transformation of property rights in Kenya's Maasailand
   Niamir-Fuller M., 1999, Managing mobility in African rangelands: the legitimization of transhumance., P18
   Ostrom E, 2007, P NATL ACAD SCI USA, V104, P15181, DOI 10.1073/pnas.0702288104
   Qu FT, 2011, CHINA ECON REV, V22, P444, DOI 10.1016/j.chieco.2010.08.005
   Squires VR, 2009, RANGELAND DEGRADATION AND RECOVERY IN CHINA'S PASTORAL LANDS, P1, DOI 10.1079/9781845934965.0000
   Su Y., 2010, Research on the competitiveness of grassland animal husbandry in Inner Mongolia
   Tessema WK, 2014, AGRON SUSTAIN DEV, V34, P75, DOI 10.1007/s13593-013-0167-4
   Verbeek M., 2012, Models Based on Panel Data: A guide to modern econometrics, V4
   Waldron S, 2007, CHINA'S LIVESTOCK REVOLUTION: AGRIBUSINESS AND POLICY DEVELOPMENTS IN THE SHEEP MEAT INDUSTRY, P43, DOI 10.1079/9781845932466.0043
   Waldron S, 2010, CHINA AGR ECON REV, V2, P298, DOI 10.1108/17561371011078435
   Wang J, 2013, GLOBAL ENVIRON CHANG, V23, P1673, DOI 10.1016/j.gloenvcha.2013.08.014
   Wang XL, 2016, J CLEAN PROD, V119, P1, DOI 10.1016/j.jclepro.2016.01.084
   [杨理 Yang Li], 2007, [中国农村经济, Chinese Rural Economy], P62
   Ybarra M, 2009, LAND USE POLICY, V26, P44, DOI 10.1016/j.landusepol.2008.01.001
   Yu L, 2013, HUM ECOL, V41, P759, DOI 10.1007/s10745-013-9580-1
   Zhang H, 2012, INT FOREST REV, V14, P349, DOI 10.1505/146554812802646648
   Zhang L., 2012, Issues in Agricultural Economy, V4, P90
NR 60
TC 18
Z9 18
U1 4
U2 47
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 1043-951X
EI 1873-7781
J9 CHINA ECON REV
JI China Econ. Rev.
PD APR
PY 2020
VL 60
AR 101110
DI 10.1016/j.chieco.2017.09.009
PG 15
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA LT0KU
UT WOS:000536766700002
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Ni, HW
   Hu, H
   Zohner, CM
   Huang, WG
   Chen, J
   Sun, YS
   Ding, JX
   Zhou, JZ
   Yan, XY
   Zhang, JB
   Liang, YT
   Crowther, TW
AF Ni, Haowei
   Hu, Han
   Zohner, Constantin M.
   Huang, Weigen
   Chen, Ji
   Sun, Yishen
   Ding, Jixian
   Zhou, Jizhong
   Yan, Xiaoyuan
   Zhang, Jiabao
   Liang, Yuting
   Crowther, Thomas W.
TI Effects of winter soil warming on crop biomass carbon loss from organic
   matter degradation
SO NATURE COMMUNICATIONS
LA English
DT Article
ID CLIMATE FEEDBACKS; NITROGEN; RESPIRATION; PERMAFROST; TEMPERATURE;
   RESPONSES; RESIDUES; PATTERNS; SYSTEM; YIELD
AB Global warming poses an unprecedented threat to agroecosystems. Although temperature increases are more pronounced during winter than in other seasons, the impact of winter warming on crop biomass carbon has not been elucidated. Here we integrate global observational data with a decade-long field experiment to uncover a significant negative correlation between winter soil temperature and crop biomass carbon. For every degree Celsius increase in winter soil temperature, straw and grain biomass carbon decreased by 6.6 ( +/- 1.7) g kg-1 and 10.2 ( +/- 2.3) g kg-1, respectively. This decline is primarily attributed to the loss of soil organic matter and micronutrients induced by warming. Ignoring the adverse effects of winter warming on crop biomass carbon could result in an overestimation of total food production by 4% to 19% under future warming scenarios. Our research highlights the critical need to incorporate winter warming into agricultural productivity models for more effective climate adaptation strategies.
   This study reveals that winter soil warming causes significant crop biomass carbon loss due to soil organic matter degradation. Ignoring this effect could lead to a 4-19% overestimation of future food production.
C1 [Ni, Haowei; Hu, Han; Huang, Weigen; Sun, Yishen; Ding, Jixian; Yan, Xiaoyuan; Zhang, Jiabao; Liang, Yuting] Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing, Peoples R China.
   [Ni, Haowei; Hu, Han; Huang, Weigen; Sun, Yishen] Univ Chinese Acad Sci, Beijing, Peoples R China.
   [Zohner, Constantin M.; Crowther, Thomas W.] Swiss Fed Inst Technol, Inst Integrat Biol, Dept Environm Syst Sci, Zurich, Switzerland.
   [Chen, Ji] Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian, Peoples R China.
   [Chen, Ji] Aarhus Univ, Dept Agroecol, Tjele, Denmark.
   [Chen, Ji] Aarhus Univ, iCLIMATE Interdisciplinary Ctr Climate Change, Roskilde, Denmark.
   [Zhou, Jizhong] Univ Oklahoma, Sch Biol Sci, Norman, OK USA.
C3 Chinese Academy of Sciences; Nanjing Institute of Soil Science, CAS;
   Chinese Academy of Sciences; University of Chinese Academy of Sciences,
   CAS; Swiss Federal Institutes of Technology Domain; ETH Zurich; Chinese
   Academy of Sciences; Institute of Earth Environment, CAS; Aarhus
   University; Aarhus University; University of Oklahoma System; University
   of Oklahoma - Norman
RP Liang, YT (corresponding author), Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing, Peoples R China.
EM ytliang@issas.ac.cn
RI crowther, thomas/B-4807-2012; Zhou, Jizhong/ACC-8029-2022; Liang,
   Yuting/AAI-1719-2021; Chen, Ji/A-6299-2018
OI Ni, Haowei/0009-0007-3853-1076; Chen, Ji/0000-0001-7026-6312; Zhou,
   Jizhong/0000-0003-2014-0564
FU National Natural Scientific Foundation of China [42425703, 42377121];
   National Key R&D Programme of China [2021YFD1900400]; Jiangsu Natural
   Science Foundation [BK20240015]; Innovation Programme of Institute of
   Soil Science [ISSASIP2201]; Youth Innovation Promotion Association of
   Chinese Academy of Sciences [2016284]
FX The authors received funding from the National Natural Scientific
   Foundation of China (42425703, 42377121 to Y.L.), National Key R&D
   Programme of China (2021YFD1900400 to Y.L.), Jiangsu Natural Science
   Foundation (BK20240015 to Y.L.), Innovation Programme of Institute of
   Soil Science (ISSASIP2201 to Y.L.) and Youth Innovation Promotion
   Association of Chinese Academy of Sciences (2016284 to Y.L.).
CR Allison L. E., 1965, Agronomy Monographs
   Averill C, 2014, NATURE, V505, P543, DOI 10.1038/nature12901
   Bokhorst S, 2010, SOIL BIOL BIOCHEM, V42, P611, DOI 10.1016/j.soilbio.2009.12.011
   Botticella E, 2018, PLANT BIOTECHNOL J, V16, P1723, DOI 10.1111/pbi.12908
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Brown JH, 2004, ECOLOGY, V85, P1771, DOI 10.1890/03-9000
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Davis KF, 2021, NAT FOOD, V2, DOI 10.1038/s43016-020-00196-3
   Elzhov TV, 2023, MINPACKLM R INTERFAC
   Feng XJ, 2007, SOIL BIOL BIOCHEM, V39, P2027, DOI 10.1016/j.soilbio.2007.03.003
   Friedlingstein P, 2022, EARTH SYST SCI DATA, V14, P4811, DOI 10.5194/essd-14-4811-2022
   Gavazov K, 2017, SCI TOTAL ENVIRON, V590, P316, DOI 10.1016/j.scitotenv.2017.03.010
   Guo LB, 2002, GLOBAL CHANGE BIOL, V8, P345, DOI 10.1046/j.1354-1013.2002.00486.x
   Hall SJ, 2022, SOIL SCI SOC AM J, V86, P195, DOI 10.1002/saj2.20343
   Hall SJ, 2018, BIOGEOCHEMISTRY, V140, P93, DOI [10.1007/s10533-018-0476-4, 10.1007/s10533-018-04]
   Herrero M, 2013, P NATL ACAD SCI USA, V110, P20888, DOI 10.1073/pnas.1308149110
   Huang WG, 2023, GLOBAL CHANGE BIOL, V29, P6188, DOI 10.1111/gcb.16951
   Iizumi T, 2015, GLOB FOOD SECUR-AGR, V4, P46, DOI 10.1016/j.gfs.2014.11.003
   Iizumi T, 2013, NAT CLIM CHANGE, V3, P904, DOI [10.1038/NCLIMATE1945, 10.1038/nclimate1945]
   ipcc, 2023, AR6 Synthesis Report: Climate Change 2023
   Johnson JMF, 2006, AGRON J, V98, P622, DOI 10.2134/agronj2005.0179
   Kanapickas A, 2022, INT J BIOMETEOROL, V66, P2009, DOI 10.1007/s00484-022-02336-9
   Kostenko O, 2020, FRONT ECOL EVOL, V8, DOI 10.3389/fevo.2020.00087
   Koven CD, 2013, NAT GEOSCI, V6, P452, DOI [10.1038/ngeo1801, 10.1038/NGEO1801]
   Koven CD, 2011, P NATL ACAD SCI USA, V108, P14769, DOI 10.1073/pnas.1103910108
   Lai JS, 2022, J PLANT ECOL, V15, P1302, DOI 10.1093/jpe/rtac096
   Lembrechts JJ, 2022, GLOBAL CHANGE BIOL, V28, P3110, DOI 10.1111/gcb.16060
   LINDSAY WL, 1978, SOIL SCI SOC AM J, V42, P421, DOI 10.2136/sssaj1978.03615995004200030009x
   Liu FS, 2021, BIOGEOSCIENCES, V18, P2275, DOI 10.5194/bg-18-2275-2021
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Ma CS, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25505-7
   MacDougall AH, 2012, NAT GEOSCI, V5, P719, DOI [10.1038/NGEO1573, 10.1038/ngeo1573]
   Martre P, 2024, NAT PLANTS, V10, DOI 10.1038/s41477-024-01739-3
   Monson RK, 2006, NATURE, V439, P711, DOI 10.1038/nature04555
   Natali SM, 2011, GLOBAL CHANGE BIOL, V17, P1394, DOI 10.1111/j.1365-2486.2010.02303.x
   Ni H., 2024, Codes for "Effects of winter soil warming on crop biomass carbon loss from organic matter degradation, DOI [10.6084/m9.figshare.27129078.v3, DOI 10.6084/M9.FIGSHARE.27129078.V3]
   Ni H., 2024, Effects of winter soil warming on crop biomass carbon loss from organic matter degradation, DOI [10.6084/m9.figshare.26771899.v2, DOI 10.6084/M9.FIGSHARE.26771899.V2]
   PARFITT RL, 1988, AUST J SOIL RES, V26, P121, DOI 10.1071/SR9880121
   Payton ME, 2003, J INSECT SCI, V3, DOI 10.1093/jis/3.1.34
   Pinheiro JC., 2000, Mixed-effects models in S and S-plus, DOI [DOI 10.1007/B98882, 10.1007/978-1-4419-0318-1, DOI 10.1007/978-1-4419-0318-1]
   Pittelkow CM, 2015, NATURE, V517, P365, DOI 10.1038/nature13809
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Qiao L, 2022, NAT CLIM CHANGE, V12, P574, DOI 10.1038/s41558-022-01376-8
   Raats M. M., 1991, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Ramankutty N, 2002, GLOBAL ECOL BIOGEOGR, V11, P377, DOI 10.1046/j.1466-822x.2002.00294.x
   Ranganathan J., 2018, How to sustainably feed 10 billion people by 2050, in 21 charts
   Rezaei EE, 2023, NAT REV EARTH ENV, V4, P831, DOI 10.1038/s43017-023-00491-0
   Schmidt MWI, 2011, NATURE, V478, P49, DOI 10.1038/nature10386
   Screen JA, 2014, NAT CLIM CHANGE, V4, P577, DOI [10.1038/nclimate2268, 10.1038/NCLIMATE2268]
   Shangguan W, 2014, J ADV MODEL EARTH SY, V6, P249, DOI 10.1002/2013MS000293
   Sistla SA, 2014, ECOL MONOGR, V84, P151, DOI 10.1890/12-2119.1
   Smil V, 1999, BIOSCIENCE, V49, P299, DOI 10.2307/1313613
   SNYDER JD, 1984, COMMUN SOIL SCI PLAN, V15, P587, DOI 10.1080/00103628409367499
   Soetan K. O., 2010, African Journal of Food Science, V4, P200
   Spahni R, 2013, CLIM PAST, V9, P1287, DOI 10.5194/cp-9-1287-2013
   Staddon PL, 2014, NAT CLIM CHANGE, V4, P190, DOI [10.1038/NCLIMATE2121, 10.1038/nclimate2121]
   Stepic V, 2022, PLANT SOIL ENVIRON, V68, P223, DOI 10.17221/93/2022-PSE
   SWANK JC, 1982, PLANT PHYSIOL, V70, P1185, DOI 10.1104/pp.70.4.1185
   Tang L, 2019, RICE, V12, DOI 10.1186/s12284-019-0362-2
   Thompson A, 2011, GEOCHIM COSMOCHIM AC, V75, P119, DOI 10.1016/j.gca.2010.10.005
   Trivedi P, 2016, ISME J, V10, P2593, DOI 10.1038/ismej.2016.65
   Vereecken H, 2022, NAT REV EARTH ENV, V3, P573, DOI 10.1038/s43017-022-00324-6
   Wang MM, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-33278-w
   Wang XH, 2020, NAT SUSTAIN, V3, P908, DOI 10.1038/s41893-020-0569-7
   Wang ZH, 2008, J SCI FOOD AGR, V88, P7, DOI 10.1002/jsfa.3084
   Woomer P. L., 1994, The biological management of tropical soil fertility., P47
   Xiao L, 2019, GEODERMA, V334, P1, DOI 10.1016/j.geoderma.2018.07.043
   Xu SQ, 2022, NATURE, V609, P299, DOI 10.1038/s41586-022-05055-8
   Xu XF, 2013, GLOBAL ECOL BIOGEOGR, V22, P737, DOI 10.1111/geb.12029
   Yuste JC, 2007, GLOBAL CHANGE BIOL, V13, P2018, DOI 10.1111/j.1365-2486.2007.01415.x
   Zhang L, 2021, FOR ECOSYST, V8, DOI 10.1186/s40663-021-00299-8
   Zheng MH, 2022, NAT GEOSCI, V15, P1002, DOI 10.1038/s41561-022-01080-4
   Zhu P, 2022, NAT CLIM CHANGE, V12, P485, DOI 10.1038/s41558-022-01327-3
NR 73
TC 1
Z9 1
U1 97
U2 97
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD OCT 14
PY 2024
VL 15
IS 1
AR 8847
DI 10.1038/s41467-024-53216-2
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA J2L5V
UT WOS:001335435800002
PM 39397050
OA gold
DA 2025-01-10
ER

PT J
AU Gutiérrez, JAM
   dos Santos, CC
   Celentano, D
   Rousseau, GX
   da Silva, TC
AF Gutierrez, Jhonatan Andres Munoz
   dos Santos, Cealia Cristine
   Celentano, Danielle
   Rousseau, Guillaume Xavier
   da Silva, Taline Cristina
TI Perception of the Vulnerability of Quilombola Farmers in Alcantara,
   Eastern Amazonia, Brazil
SO SOCIETY & NATURAL RESOURCES
LA English
DT Article
DE Adaptation; Brazil; climate change; climatic and non-climatic risks;
   Environmental Hazards-Risks and Health; food security; gender; global
   climate change; livelihoods; Maranhao; perception of nature; rural and
   agricultural development; slash-and-burn; social indicators
ID CLIMATE-CHANGE; SMALLHOLDER FARMERS; MULTIPLE STRESSORS; ADAPTATION;
   RISK; CONTEXT; EXAMPLE; AFRICA
AB This study addresses the contextual vulnerability of farmers using participatory risk mapping with different stakeholders. Additionally, through logistic regression, it identifies factors that influence the perception of climate risk. The results indicate that the perception and relevance of stressors vary among different stakeholders, as well as among farmers of different genders and ages. Non-climatic stressors are more relevant to farmers' livelihoods than climatic ones, although their interaction can exacerbate the impacts. Non-climate stressors identified in the past in the region continue to exacerbate communities' vulnerability. The lack of technical assistance is the most serious stressor. The lack of land and the delayed rains are the most severe stressors. Farmers' knowledge of climate change did not influence their perception of climate risks. Public climate adaptation policies should consider the local context, as well as the gender and age distributions of the public involved.
C1 [Gutierrez, Jhonatan Andres Munoz; Celentano, Danielle; Rousseau, Guillaume Xavier] Univ Estadual Maranhao, Postgrad Program Agroecol, Sao Luis, Brazil.
   [dos Santos, Cealia Cristine] Univ Fed Maranhao, Bacabal Sci Ctr, Human Sci Sociol Course, Sao Luis, Brazil.
   [da Silva, Taline Cristina] State Univ Alagoas, Lab Ethnobiol & Ecosyst Conservat, Palmeira Dos Inidios, Brazil.
   [Gutierrez, Jhonatan Andres Munoz] Cidade Univ Paulo VI S-N, Sao Luis, MA, Brazil.
C3 Universidade Estadual do Maranhao; Universidade Federal do Maranhao
RP Gutiérrez, JAM (corresponding author), Cidade Univ Paulo VI S-N, Sao Luis, MA, Brazil.
EM jhonatanmunoz.gu@gmail.com
RI Silva, Taline/AAR-8214-2020; Rousseau, Guillaume/JXL-4576-2024;
   Rousseau, Guillaume/O-6231-2017
OI Munoz Gutierrez, Jhonatan Andres/0000-0002-2090-2226; Silva,
   Taline/0000-0001-8131-0059; Rousseau, Guillaume/0000-0002-2482-4376
FU Coordination for the Improvement of Higher Education Personnel (CAPES)
FX Partial financial support was received from the Coordination for the
   Improvement of Higher Education Personnel (CAPES) through the grant to
   J.A.M.G. The National Council for Scientific and Technological
   Development (CNPq), and for the Brazilian Center for Analysis and
   Planning (CEBRAP) and its Nucleus for Research and Analysis on the
   Environment, Development and Sustainability (CEBRAP Sustainability) in
   partnership with the Arymax Foundation, to the Tide Setubal Foundation
   and to the Humanize Institute through the project "Catedra Itinerante
   Inclus~ao produtiva no Brasil rural e interiorano".
CR Albuquerque U.P., 2014, Methods and Techniques in Ethnobiology and Ethnoecology, V1, P1, DOI DOI 10.1007/978-1-4614-8636-7_1
   Almeida A. W. B., 2006, QUILOMBOLAS BASE LAN
   Alvares CA, 2013, METEOROL Z, V22, P711, DOI 10.1127/0941-2948/2013/0507
   Antwi-Agyei P, 2017, REG ENVIRON CHANGE, V17, P213, DOI 10.1007/s10113-016-0993-4
   Assad E.D., 2019, Climate Change Risks in Brazil, P31, DOI [10.1007/978-3-319-92881-43, DOI 10.1007/978-3-319-92881-43]
   Atlas Brasil, 2021, ATL DES HUM BRAS
   Baker JCA, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abfb2e
   Brito J. M. S., 2021, DISCURSO SUJEITO COL
   Brondizio ES, 2008, PHILOS T R SOC B, V363, P1803, DOI 10.1098/rstb.2007.0025
   Celentano D, 2014, J ETHNOBIOL ETHNOMED, V10, DOI 10.1186/1746-4269-10-11
   CPISP, 2022, OBS TERR QUIL
   Debortoli NS, 2017, NAT HAZARDS, V86, P557, DOI 10.1007/s11069-016-2705-2
   Dias L. R. L., 2020, MUSEU ALCANTARA CRET
   Dryhurst S, 2020, J RISK RES, V23, P994, DOI 10.1080/13669877.2020.1758193
   Estevo MD, 2023, SOC NATUR RESOUR, V36, P232, DOI 10.1080/08941920.2022.2153294
   Etongo D., 2022, World Development Sustainability, V1, P100025, DOI [10.1016/j.wds.2022.100025, DOI 10.1016/J.WDS.2022.100025]
   Fishlow A., 2017, AGR IND BRAZIL INNOV
   Gbegbelegbe S, 2018, CLIM DEV, V10, P289, DOI 10.1080/17565529.2017.1374236
   Araújo MDG, 2006, REV TECNOL SOC, V2, P209
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Gutierrez H, 2020, HUM ECOL, V48, P383, DOI 10.1007/s10745-020-00165-1
   Dang HL, 2019, CLIM DEV, V11, P765, DOI 10.1080/17565529.2018.1562866
   IBGE, 2021, CENS 2022
   INPE, 2022, PRODES
   Iwama Allan Yu, 2016, Ambient. soc., V19, P93
   Lee TM, 2015, NAT CLIM CHANGE, V5, P1014, DOI 10.1038/NCLIMATE2728
   Lefevre F., 2005, DEPOIMENTOS DISCURSO
   Leite-Filho Argemiro Teixeira, 2021, Nat Commun, V12, P2591, DOI 10.1038/s41467-021-22840-7
   Loch VD, 2023, ETHNOBIOL CONSERV, V12, DOI 10.15451/ec2023-02-12.03-1-15
   Loch VD, 2021, FOR TREES LIVELIHOOD, V30, P90, DOI 10.1080/14728028.2020.1863866
   Magalhaes HF, 2021, HUM ECOL, V49, P403, DOI 10.1007/s10745-021-00247-8
   Villa PM, 2020, FOREST POLICY ECON, V118, DOI 10.1016/j.forpol.2020.102217
   Marengo Jose A., 2022, Climate Resilience and Sustainability, V1, DOI 10.1002/cli2.17
   Marengo JA, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-021-04241-4
   Mu Y, 2022, ATMOS RES, V271, DOI 10.1016/j.atmosres.2022.106122
   Mulwa C, 2017, CLIM RISK MANAG, V16, P208, DOI 10.1016/j.crm.2017.01.002
   Nyantakyi-Frimpong H, 2015, GLOBAL ENVIRON CHANG, V32, P40, DOI 10.1016/j.gloenvcha.2015.03.003
   O'Brien K, 2009, ENVIRON SCI POLICY, V12, P23, DOI 10.1016/j.envsci.2008.10.008
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Padoch C, 2010, BIOTROPICA, V42, P550, DOI 10.1111/j.1744-7429.2010.00681.x
   Pahl S, 2014, WIRES CLIM CHANGE, V5, P375, DOI 10.1002/wcc.272
   Quinn CH, 2003, J ENVIRON MANAGE, V68, P111, DOI 10.1016/S0301-4797(03)00013-6
   Reboita MS, 2022, CLIM DYNAM, V58, P459, DOI 10.1007/s00382-021-05918-2
   Rocha Junior Adauto Brasilino, 2020, Rev. Econ. Sociol. Rural, V58, pe194371, DOI 10.1590/1806-9479.2020.194371
   Schattman RE, 2021, SOC NATUR RESOUR, V34, P763, DOI 10.1080/08941920.2021.1894283
   Siders AR, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.573
   Silva CHL, 2020, LAND USE POLICY, V97, DOI 10.1016/j.landusepol.2020.104806
   Smith K, 2000, WORLD DEV, V28, P1945, DOI 10.1016/S0305-750X(00)00053-X
   Soucy A, 2022, SOC NATUR RESOUR, V35, P467, DOI 10.1080/08941920.2021.1991066
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   Tschakert P, 2007, GLOBAL ENVIRON CHANG, V17, P381, DOI 10.1016/j.gloenvcha.2006.11.008
   Tvinnereim E, 2020, ENVIRON POLIT, V29, P1178, DOI 10.1080/09644016.2019.1708538
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   van der Linden S, 2015, J ENVIRON PSYCHOL, V41, P112, DOI 10.1016/j.jenvp.2014.11.012
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   Venables W. N., 2002, Modern Applied Statistics with S, DOI 10.1007/978-0-387-21706-2
   Wachinger G, 2013, RISK ANAL, V33, P1049, DOI 10.1111/j.1539-6924.2012.01942.x
   Webber AD, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0102912
   Wickham H., 2016, Create elegant data visualisations using the grammer of graphics
   Zelarayán MLC, 2015, ACTA AMAZON, V45, P271, DOI 10.1590/1809-4392201500432
   Zheng Y, 2016, CLIM DEV, V8, P110, DOI 10.1080/17565529.2015.1005037
NR 61
TC 1
Z9 1
U1 4
U2 12
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 0894-1920
EI 1521-0723
J9 SOC NATUR RESOUR
JI Soc. Nat. Resour.
PD JAN 2
PY 2024
VL 37
IS 1
BP 113
EP 130
DI 10.1080/08941920.2023.2263857
EA SEP 2023
PG 18
WC Development Studies; Environmental Studies; Regional & Urban Planning;
   Sociology
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology; Public
   Administration; Sociology
GA EX5A0
UT WOS:001078279900001
DA 2025-01-10
ER

PT J
AU Hill, K
AF Hill, Kristina
TI Reciprocity and design for an era of compressed temporal and spatial
   scale
SO RI VISTA-RICERCHE PER LA PROGETTAZIONE DEL PAESAGGIO
LA English
DT Article
DE Humanness; climate adaptation; reciprocity; human-animal hybrids
AB Haraway and others have suggested reciprocity with the non-human world is a pathway to understanding our humanness. Two urgent trends accelerate our need for this reciprocity: the first is the COVID-19 pandemic as a harbinger of future pandemics, and the second is our changing planetary climate. Our present time is increasingly becoming a "present-future," linked irreversibly by scientific models to specific future states of our planet and local regions. At the same time our bodies are co-evolving with a virus in a global reciprocal process with no end in sight, collapsing our sense of scale and separation among bodies. A long view of time in the past could act as a counterbalance to this experience. Bringing the longue duree model of time into our present requires reestablishing our knowledge of a long-term past in which humans adapted to major changes in climate earlier in the Holocene. Forms of future urban adaptation can embody reciprocity by emphasizing strategies that anticipate change rather than seeking to prevent it, leaping forward in time to embrace global changes we are no longer able to prevent.
C1 [Hill, Kristina] Univ Calif Berkeley, Landscape Architecture & Environm Planning, Berkeley, CA 94720 USA.
C3 University of California System; University of California Berkeley
RP Hill, K (corresponding author), Univ Calif Berkeley, Landscape Architecture & Environm Planning, Berkeley, CA 94720 USA.
EM kzhill@berkeley.edu
CR Amidon J, 2006, MICHAEL VALKENBURGH
   [Anonymous], 2018, Arctos, V52, P41
   Arendt Hannah, 1958, The Human Condition
   Aurelius Marcus., 2002, The Emperor's Handbook: A New Translation of the Meditations
   Froissart R, 2021, J EVOLUTION BIOL, V34, P1855, DOI 10.1111/jeb.13904
   Hennekam R, 2015, QUATERNARY SCI REV, V130, P189, DOI 10.1016/j.quascirev.2015.05.031
   Kämmerer U, 2011, J REPROD IMMUNOL, V91, P1, DOI 10.1016/j.jri.2011.06.102
   Mastrocinque Attilo., 2007, Journal of Ancient Near Eastern Religions, V7, P197
   Pride D., 2019, NEUROPSYCHOPHARMACOL, V323, P46
   Rost S, 2019, J ANTHROPOL ARCHAEOL, V54, P31, DOI 10.1016/j.jaa.2019.01.005
   Sicker M., 2000, PRE ISLAMIC MIDDLE E
   Sun WY, 2021, J CLIMATE, V34, P229, DOI 10.1175/JCLI-D-20-0317.1
   Wiggermann F., 2011, Studi e Materiali Storia delle Religioni, V77, P298
NR 13
TC 0
Z9 0
U1 0
U2 3
PU FIRENZE UNIV PRESS
PI FIRENZE
PA JOURNALS DIVISION, BORGO ALBIZI, 28, FIRENZE, 50122, ITALY
SN 1724-6768
J9 RI VISTA
JI Ri Vista
PY 2022
IS 2
BP 36
EP 47
DI 10.36253/rv-14002
PG 12
WC Architecture
WE Emerging Sources Citation Index (ESCI)
SC Architecture
GA 9J6CF
UT WOS:000940271400003
OA gold
DA 2025-01-10
ER

PT J
AU Ranjan, R
AF Ranjan, Ram
TI Protecting warming lakes through climate-adaptive PES mechanisms
SO ECOLOGICAL ECONOMICS
LA English
DT Article
ID ECOSYSTEM SERVICES PROGRAMS; CHILIKA LAKE; SUSPENDED SEDIMENT; CHOICE
   EXPERIMENT; FISH PRODUCTION; PAYMENTS; TEMPERATURE; FISHERIES;
   INTERVENTION; VARIABILITY
AB Climate change can adversely impact the quality of environmental services provided under Payments for Ecosystem Services (PES) programs, thereby reducing their effectiveness. In this paper, a modelling framework is developed to explore how PES negotiations between forestry and fishery-based communities may be affected when warming reduces the stock of fish as well as forest biomass growth rates. Under a PES arrangement, forestry-based communities afforest the lake's catchment region, which helps improve fish stock abundance through reduced sediment loading. When climate warming adversely impacts fish yields, the value of restoring degraded lands in the catchment region increases, making the negotiating powers of the fishing and forestry dependent communities dynamic. Results suggest that the prospect of a climate-driven negotiating power in the future calls for higher PES payments by the fishing community in order to incentivize early restoration. Warming could also affect forest biomass growth rates in the long run. However, findings from this study suggest that warming driven forest biomass growth rate decline may have a relatively lower impact on PES negotiations compared to the direct impact of warming on lake's fish productivity.
C1 [Ranjan, Ram] Shiv Nadar Univ, Sch Humanities & Social Sci, Dept Econ, Greater Noida, Uttar Pradesh, India.
C3 Shiv Nadar University
RP Ranjan, R (corresponding author), Shiv Nadar Univ, Sch Humanities & Social Sci, Dept Econ, Greater Noida, Uttar Pradesh, India.
EM ram.ranjan@snu.edu.in
CR Agimass F, 2011, ECOL ECON, V71, P162, DOI 10.1016/j.ecolecon.2011.08.025
   Akpalu W, 2015, SUSTAINABILITY-BASEL, V7, P7942, DOI 10.3390/su7067942
   [Anonymous], 2008, INDIAN J SCI TECHNOL
   [Anonymous], 2008, INDIAN J SCI TECHNOL
   [Anonymous], 2017, The Indian Express
   Baland JM, 2010, WORLD DEV, V38, P1642, DOI 10.1016/j.worlddev.2010.03.007
   BINMORE K, 1986, RAND J ECON, V17, P176, DOI 10.2307/2555382
   BORMANN FH, 1974, ECOL MONOGR, V44, P255, DOI 10.2307/2937031
   Brander KM, 2007, P NATL ACAD SCI USA, V104, P19709, DOI 10.1073/pnas.0702059104
   Claassen R, 2008, ECOL ECON, V65, P737, DOI 10.1016/j.ecolecon.2007.07.032
   Clark C.W., 1985, BIOECONOMIC MODELING
   Clements T, 2010, ECOL ECON, V69, P1283, DOI 10.1016/j.ecolecon.2009.11.010
   Coles M., 1994, DYNAMIC BARGAINING T
   Costedoat S, 2016, LAND USE POLICY, V58, P302, DOI 10.1016/j.landusepol.2016.07.023
   Das B.P., 2007, 12 WORLD LAK C, P697
   Das L, 2016, J CLIM CHANG, V2, P1, DOI 10.3233/JCC-160001
   de Fransisco R., 2014, WHY POWER MATTERS PA
   Forest Development Agency, 2008, SUCC STOR REL JFM
   Goldman-Benner RL, 2012, ORYX, V46, P55, DOI 10.1017/S0030605311001050
   Hejnowicz AP, 2014, ECOSYST SERV, V9, P83, DOI 10.1016/j.ecoser.2014.05.001
   Jack BK, 2008, P NATL ACAD SCI USA, V105, P9465, DOI 10.1073/pnas.0705503104
   Jack BK, 2017, LAND USE POLICY, V63, P645, DOI 10.1016/j.landusepol.2016.03.028
   Kjelland Michael E., 2015, Environment Systems & Decisions, V35, P334, DOI 10.1007/s10669-015-9557-2
   Kronenberg J, 2013, ECOL SOC, V18, DOI 10.5751/ES-05240-180110
   Kumar A, 2016, ESTUAR COAST SHELF S, V170, P155, DOI 10.1016/j.ecss.2016.01.018
   Kumar R., 2012, INTEGRATED MANAGEMEN
   LLOYD D S, 1987, North American Journal of Fisheries Management, V7, P18, DOI 10.1577/1548-8659(1987)7<18:EOTIFW>2.0.CO;2
   Lorentzen T., 2006, IIFET PORTSMOUTH P
   Manzini P, 2003, J PUBLIC ECON, V87, P2725, DOI 10.1016/S0047-2727(02)00137-8
   Mishra Siba P., 2015, Lakes & Reservoirs Research and Management, V20, P77, DOI 10.1111/lre.12088
   Mohanty Surya K., 2015, Check List, V11, P1817
   Mohapatra A, 2011, INDIAN J FISH, V58, P133
   Muñoz-Piña C, 2008, ECOL ECON, V65, P725, DOI 10.1016/j.ecolecon.2007.07.031
   Muthoo A., 1999, BARGAINING THEORY AP
   National Sample Survey Office, 2012, EN SOURC IND HOUS CO
   NAUTIYAL JC, 1985, INTERDISCIPL SCI REV, V10, P27, DOI 10.1179/isr.1985.10.1.27
   Newcombe Charles P., 1996, North American Journal of Fisheries Management, V16, P693, DOI 10.1577/1548-8675(1996)016<0693:CSSAFA>2.3.CO;2
   Nicolaus K, 2014, SUSTAINABILITY-BASEL, V6, P3019, DOI 10.3390/su6053019
   O'Gorman EJ, 2016, GLOBAL CHANGE BIOL, V22, P3206, DOI 10.1111/gcb.13233
   O'Reilly CM, 2015, GEOPHYS RES LETT, V42, P10773, DOI 10.1002/2015GL066235
   Pagiola S, 2005, WORLD DEV, V33, P237, DOI 10.1016/j.worlddev.2004.07.011
   Pauly D, 2018, GLOBAL CHANGE BIOL, V24, pE15, DOI 10.1111/gcb.13831
   Principal Chief Conservator of Forests, 2016, HIGHL OD FOR SECT 20
   Ranjan R, 2019, FOREST POLICY ECON, V106, DOI 10.1016/j.forpol.2019.06.001
   Rout S.P., 2006, COMANAGEMENT COMMON
   Ruggiero PGC, 2019, LAND USE POLICY, V82, P283, DOI 10.1016/j.landusepol.2018.11.054
   Saad SI, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192325
   Sahu BK, 2014, J COAST CONSERV, V18, P285, DOI 10.1007/s11852-014-0318-z
   Schomers S, 2013, ECOSYST SERV, V6, P16, DOI 10.1016/j.ecoser.2013.01.002
   Sekhar NU, 2004, J ENVIRON MANAGE, V73, P257, DOI 10.1016/j.jenvman.2004.07.006
   Serpetti N, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-13220-7
   Singh S.P., 2013, Asian Fisheries Science, V26, P26
   USGS, 2005, IMP SED CHES BAY ITS
   Van Hecken G, 2015, ECOL ECON, V120, P117, DOI 10.1016/j.ecolecon.2015.10.012
   Vignola R, 2012, ECOL ECON, V75, P22, DOI 10.1016/j.ecolecon.2012.01.004
   Way DA, 2010, TREE PHYSIOL, V30, P669, DOI 10.1093/treephys/tpq015
   Wolosin M., 2017, Large-scale forestation for climate mitigation: lessons from South Korea, China, and India
NR 57
TC 2
Z9 2
U1 1
U2 15
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29a, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD NOV
PY 2020
VL 177
AR 106782
DI 10.1016/j.ecolecon.2020.106782
PG 14
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 NK9AS
UT WOS:000567022100011
DA 2025-01-10
ER

PT C
AU Auld, H
   Klaassen, J
   Comer, N
AF Auld, Heather
   Klaassen, Joan
   Comer, Neil
GP IEEE
TI Weathering of building infrastructure and the changing climate:
   Adaptation options
SO 2006 IEEE EIC CLIMATE CHANGE CONFERENCE, VOLS 1 AND 2
LA English
DT Proceedings Paper
CT IEEE EIC Climate Change Conference
CY MAY 09-12, 2006
CL Ottawa, CANADA
SP IEEE
DE weathering; deterioration; climate change; infrastructure
AB The changing climate will impact infrastructure through gradual changes in weather patterns, increasing variability and potential increases in extremes. Although most concerns have focused on changing extremes, the changes in day-to-day weathering processes may be equally important. These significant day-to-day weathering processes include wind-driven rain, freeze-thaw cycles, frost penetration, wetting and drying, wind-driven abrasive materials, the action of broad spectrum solar radiation and ultraviolet (UV) radiation, and atmospheric chemical deposition on materials.
   Adaptation options need to be developed to consider changing weathering processes, including more frequent freeze-thaw cycles in colder regions, potentially increased atmospheric chemical deposition, initially increasing UV levels and changes to precipitation regimes. Since buildings are particularly vulnerable to weathering impacts that compromise their durability and resilience to extremes over time, it will become increasingly important in future to ensure that building envelopes and enclosures are able to resist wind actions and to prevent moisture from entering the structure. Many of the required adaptation actions may take the form of different formulations for materials or different engineering practices to ensure greater durability or requirements in standards for preventative maintenance.
C1 [Auld, Heather] Environm Canada, Adapt & Impacts Res Div, 4905 Dufferin St, Toronto, ON M3H 5T4, Canada.
   [Klaassen, Joan; Comer, Neil] Environm Canada, Atmospher Sci & Applicat Div, Toronto, ON M3H 5T4, Canada.
C3 Environment & Climate Change Canada; Environment & Climate Change Canada
RP Auld, H (corresponding author), Environm Canada, Adapt & Impacts Res Div, 4905 Dufferin St, Toronto, ON M3H 5T4, Canada.
CR Andrady AL, 2003, PHOTOCH PHOTOBIO SCI, V2, P68, DOI 10.1039/b211085g
   AULD H, 1999, ATOMOSPHERIC CHANGE, P103
   BAKER M, 1967, ICE ROOFS CANADIAN B, V69
   BOMBERG M, 1993, J THERM INSUL BUILD, V17, P5
   Briggs R., 2002, CLIMATE CLASSIFICATI
   Canada Mortgage and Housing Corporation (CMHC), 1996, SURV BUILD ENV FAIL
   CCME (Canadian Council of Ministers of the Environment), 2003, CLIM NAT PEOPL IND C
   COMICK SM, 2001, DEFINING CLIMATE REG, P36
   COMICK SM, 2003, NRCC45001
   Cowan B., 2018, SURVEY CURRENT BUSIN, V98
   Green MF, 2003, CAN J CIVIL ENG, V30, P1081, DOI 10.1139/L03-059
   GU GP, 1997, CONSTRUCTION CANADA, V39, P36
   HAAS R, 1999, ROUGHNESS TRENDS CSH
   LACASSE MA, 2003, NRCC46888
   LARSON TL, 1997, ICE DAMS
   Lawton MD, 1999, DURABILITY OF BUILDING MATERIALS AND COMPONENTS 8, VOLS 1-4, PROCEEDINGS, P989
   LISO K, 2001, EFFECTS CLIMATE CHAN
   LSTIBUREK J, 2002, ASHRAE J         FEB, P36
   Lstiburek J.W., 2001, PROC 8 C BUILDING SC, P319
   Magnuson JJ, 2000, SCIENCE, V289, P1743, DOI 10.1126/science.289.5485.1743
   MINOR JE, 1994, J WIND ENG IND AEROD, V53, P207, DOI 10.1016/0167-6105(94)90027-2
   Plate E.J., 1998, WATER RESOURCES B, V24, P235
   Rousseau J, 1983, RAIN PENETRATION MOI
   Scheffer T. C., 1971, Forest Products Journal, V21, P25
   SETLIFF EC, 1986, WOOD DECAY HAZARD CA, P456
   SIMPSON G, 2006, AIARCHITECT, V13
   *STAT CAN, 1999, CAN EC OBS HIST STAT
   Steffen M., 2000, BUILDING PERFORMANCE, V1
   STULZMAN P, 1999, 6399 NISTIR
   *US DEP EN, 2003, INTR BUILD SYST PERF
   *US DEP HOUS URB D, 2004, BUILD MOIST DUR PAST
NR 31
TC 1
Z9 1
U1 0
U2 11
PU IEEE
PI NEW YORK
PA 345 E 47TH ST, NEW YORK, NY 10017 USA
BN 978-1-4244-0217-5
PY 2006
BP 646
EP +
PG 4
WC Energy & Fuels; Environmental Sciences
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Energy & Fuels; Environmental Sciences & Ecology
GA BGI75
UT WOS:000247356600086
DA 2025-01-10
ER

PT J
AU Lede, E
   Townsend, T
   Nguyen, QA
   Lede, E
AF Lede, Eric
   Townsend, Tarlise
   Nguyen, Quynh Anh
   Lede, Ellin
TI Mitigating climate risk in the Mekong Delta: insights from a large-scale
   communication field study in Vietnam
SO CLIMATE AND DEVELOPMENT
LA English
DT Article; Early Access
DE Vietnam; adaptation; perceptions; climate information; climate change
ID CHANGE ADAPTATION; DIFFERENTIATED VULNERABILITY; GENDER ANALYSIS;
   BARRIERS; VARIABILITY; PERCEPTIONS; DISTRICT; LESSONS; AFRICA; EVENTS
AB Women in developing countries are disproportionately vulnerable to climate risks. The perception of these risks - which can vary by gender - shapes how people decide to adapt, which in turn drives how these risks are realised as impacts and consequences. This paper examines: (1) the differences of perception between women and men about climate risks; (2) if these differences can be explained by a variety of socio-economic factors; and (3) whether the gendered perception gap could be eliminated by a targeted communication intervention that informed participants about long-term climate risks in the region and was delivered by a local news weather anchor. We examined these questions through pre- and post-intervention surveys with 724 inhabitants of peri urban Can Tho, in Vietnam's Mekong Delta. Results show that women were less familiar with climate risks in their community. The gendered perception gap was partially attributed to differences in education, livelihoods, and access to information. This gap was partially eliminated after the communication intervention, which suggests that a targeted communication intervention can enhance capacity to adapt to climate risks. This research provides valuable insights for climate communicators, especially for those working with non-WIERD populations, and can support adaptability for vulnerable populations.
C1 [Lede, Eric] Bur Meteorol, Canberra, Australia.
   [Townsend, Tarlise] NYU, Ctr Drug Use & HIV Res CDUHR, Sch Global Publ Hlth, New York, NY USA.
   [Townsend, Tarlise] NYU Grossman Sch Med, Ctr Opioid Epidemiol & Policy, Dept Populat Hlth, New York, NY USA.
   [Townsend, Tarlise] NYU Rory Coll Nursing, Behav Sci Training Program, New York, NY USA.
   [Nguyen, Quynh Anh] Natl Inst Sci & Technol Policy & Strategy Studies, Hanoi, Vietnam.
   [Lede, Ellin] Charles Darwin Univ, Darwin, Australia.
C3 Bureau of Meteorology - Australia; New York University; Charles Darwin
   University
RP Lede, E (corresponding author), Bur Meteorol, GPO Box 1289, Melbourne, Vic 3001, Australia.
EM eric.lede@bom.gov.au
FX This paper is dedicated to our dear friend and co-author, Tarlise Noelle
   (Tarlie) Townsend. Tarlie was incredibly kind and compassionate,
   fiercely intelligent, and always up for a cracking adventure. Tarlie was
   driven by an unwavering desire to genuinely make the world a better
   place - and she succeeded. We consider ourselves forever fortunate that
   our paths crossed. The world is a lesser place without Tarlie and she is
   deeply missed. Tarlie's memory and legacy lives on in the many people
   who loved her, and through her extensive contributions to science and
   society.
CR 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
   Akter S, 2016, GLOBAL ENVIRON CHANG, V38, P217, DOI 10.1016/j.gloenvcha.2016.03.010
   [Anonymous], 1995, RISK
   [Anonymous], 2009, PSYCHOL CLIMATE CHAN
   [Anonymous], 2018, Australian code for the responsible conduct of research
   Asian Cities Climate Change Resilience Network, 2009, HCVA in Can Tho - Hazard, Capacity & Vulnerability Assessment in relation to Climate Change
   Babugura A., 2011, Heinrich Boll Found, DOI [10.1111/j.1759-5436.2004.tb00133.x, DOI 10.1111/J.1759-5436.2004.TB00133.X]
   Bahinipati CS, 2015, WATER POLICY, V17, P742, DOI 10.2166/wp.2014.121
   Bernier Q., 2015, Gender and institutional aspects of climate-smart agricultural practices: Evidence from Kenya
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   Breen R, 2013, SOCIOL METHOD RES, V42, P164, DOI 10.1177/0049124113494572
   Bryan E, 2018, CLIM DEV, V10, P417, DOI 10.1080/17565529.2017.1301870
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Catacutan D., 2015, Int Rev, V17, P22, DOI DOI 10.1505/146554815816086381
   Chi T. T. N., 1995, Vietnam and IRRI: a partnership in rice research. Hanoi, P291
   Chi T. T. N., 2010, Omonrice, V17, P203
   Demetriades J, 2008, IDS BULL-I DEV STUD, V39, P24, DOI 10.1111/j.1759-5436.2008.tb00473.x
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Dessai S., 2016, Journal of Chemical and Pharmaceutical Sciences, V9, P177
   Dillon RL, 2011, RISK ANAL, V31, P440, DOI 10.1111/j.1539-6924.2010.01506.x
   Ding D, 2011, NAT CLIM CHANGE, V1, P462, DOI 10.1038/NCLIMATE1295
   Djoudi H, 2011, INT FOREST REV, V13, P123, DOI 10.1505/146554811797406606
   Enarson Elaine., 2000, GENDER NATURAL DISAS
   Farbotko C, 2005, GEOGR ANN B, V87B, P279, DOI 10.1111/j.0435-3684.2005.00199.x
   Gallina A., 2016, Gender dynamics in rice-farming households in Vietnam: A literature review
   Goh A.H.X., 2012, LIT REV GENDER DIFFE, DOI [DOI 10.2499/CAPRIWP106, 10.2499/CAPRIWP106]
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Henrich J, 2010, BEHAV BRAIN SCI, V33, P61, DOI 10.1017/S0140525X0999152X
   Ho MC, 2008, RISK ANAL, V28, P635, DOI 10.1111/j.1539-6924.2008.01040.x
   Dang HL, 2019, CLIM DEV, V11, P765, DOI 10.1080/17565529.2018.1562866
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Dang HL, 2014, MITIG ADAPT STRAT GL, V19, P531, DOI 10.1007/s11027-012-9447-6
   Hoang T. B., 2009, Gend Pathways Out Poverty Rural Employ -FAO-IFAD-ILO Work, P1
   HoeghGuldberg O., 2018, Impacts of 1.5C Global Warming on Natural and Human Systems. In Global Warming of 15C. An IPCC Special Report on the impacts of globalwarming of 1.5C above preindustrial levels and related global greenhouse gas emission pathways, in the context ofstrengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty, edited by V. MassonDelmotte, P. Zhai, H.O. Prtner (Eds.)
   Huynh PTA, 2014, CLIM DEV, V6, P226, DOI 10.1080/17565529.2014.886989
   Jin JJ, 2015, SCI TOTAL ENVIRON, V538, P942, DOI 10.1016/j.scitotenv.2015.07.027
   Jones L, 2011, GLOBAL ENVIRON CHANG, V21, P1262, DOI 10.1016/j.gloenvcha.2011.06.002
   Khanal U, 2019, CLIM DEV, V11, P555, DOI 10.1080/17565529.2018.1469965
   Kunreuther H, 1996, ANN AM ACAD POLIT SS, V545, P116, DOI 10.1177/0002716296545001012
   Lebel Louis., 2014, International Social Science Journal, V65, P147, DOI [10.1111/issj.12090, DOI 10.1111/ISSJ.12090]
   Lede E, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01769-z
   Lewandowsky S, 2013, NAT CLIM CHANGE, V3, P399, DOI [10.1038/nclimate1720, 10.1038/NCLIMATE1720]
   Lindell MK, 2000, ENVIRON BEHAV, V32, P461, DOI 10.1177/00139160021972621
   Maddison D., 2006, The perception of and adaptation to climate change in Africa
   Mason LR, 2015, CLIMATIC CHANGE, V132, P589, DOI 10.1007/s10584-015-1437-8
   [Masson-Delmotte V. IPCC IPCC], 2021, Summary for Policy Makers
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Mishra AK, 2017, INT J CLIM CHANG STR, V9, P501, DOI 10.1108/IJCCSM-01-2017-0014
   Mittal S, 2016, GEND TECHNOL DEV, V20, P200, DOI 10.1177/0971852416639772
   Mortreux C, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7834
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Mortreux C, 2009, GLOBAL ENVIRON CHANG, V19, P105, DOI 10.1016/j.gloenvcha.2008.09.006
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   National Health and Medical Research Council, 2018, National Statement on Ethical Conduct in Human Research
   Nellemann C., 2011, Women at the frontline of climate change: Gender risks and hopes. A Rapid Response Assessment
   Nelson V., 2002, Gender and Development, V10, P51, DOI 10.1080/13552070215911
   Neumayer E, 2007, ANN ASSOC AM GEOGR, V97, P551, DOI 10.1111/j.1467-8306.2007.00563.x
   Nguyen HN, 2007, Hum Dev Rep, V2008, P23
   Nguyen N, 2021, J CLEAN PROD, V303, DOI 10.1016/j.jclepro.2021.126828
   Okoye CU, 1998, SOIL TILL RES, V45, P251, DOI 10.1016/S0933-3630(96)00137-7
   Oloukoi G, 2014, AGENDA-EMPOWER WOMEN, V28, P16, DOI 10.1080/10130950.2014.949477
   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]
   Quandt A, 2019, CLIMATIC CHANGE, V152, P1, DOI 10.1007/s10584-018-2343-7
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Roy J., 2018, Global Warming of 1.5?C. An IPCC Special Report on the impacts of global warming of 1.5?C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development
   Segnestam L, 2009, COMMUNITY DEV, V40, P154, DOI 10.1080/15575330903001562
   Smith TF, 2013, SUSTAINABILITY-BASEL, V5, P228, DOI 10.3390/su5010228
   Sugden F, 2014, GLOBAL ENVIRON CHANG, V29, P258, DOI 10.1016/j.gloenvcha.2014.10.008
   Sultana F, 2014, PROF GEOGR, V66, P372, DOI 10.1080/00330124.2013.821730
   Sultana F, 2010, ENVIRON HAZARDS-UK, V9, P43, DOI 10.3763/ehaz.2010.SI02
   Swai O.W., 2012, Journal of African Studies and Development, V4, P218, DOI [DOI 10.5897/JASD12.038, 10.5897/JASD12.038]
   TALL A., 2014, Who gets the information? Gender, power and equity considerations in the design of climate services for farmers
   Tatlonghari GT., 2013, Research, action and policy: Addressing the gendered impacts of climate change, P237, DOI [10.1007/978-94-007-5518-5_17, DOI 10.1007/978-94-007-5518-5_17]
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Tschakert P, 2007, GLOBAL ENVIRON CHANG, V17, P381, DOI 10.1016/j.gloenvcha.2006.11.008
   Twyman J, 2014, ADAPTATION ACTIONS A
   UNDP and VASS, 2016, Growth That Works for All: Viet Nam Human Development Report 2015 on Inclusive Growth
   Walshe RA, 2018, INT J CLIM CHANG STR, V10, P303, DOI 10.1108/IJCCSM-03-2017-0060
   Wangui EE, 2018, CLIM DEV, V10, P369, DOI 10.1080/17565529.2017.1301867
   Yusuf A. A., 2010, EC ENV PROGRAM SE AS
NR 82
TC 0
Z9 0
U1 5
U2 5
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD 2024 AUG 8
PY 2024
DI 10.1080/17565529.2024.2365287
EA AUG 2024
PG 10
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA A9J9V
UT WOS:001285641900001
DA 2025-01-10
ER

PT J
AU Megersa, GG
   Jaleta, M
   Tesfaye, K
   Getnet, M
   Tana, T
   Lakew, B
AF Megersa, Girma Geleta
   Jaleta, Moti
   Tesfaye, Kindie
   Getnet, Mezegebu
   Tana, Tamado
   Lakew, Berhane
TI Perceived Climate Change and Determinants of Adaptation Responses by
   Smallholder Farmers in Central Ethiopia
SO SUSTAINABILITY
LA English
DT Article
DE adaptation options; central Ethiopia; climate change; determinants of
   adaptation; farmers' perceptions
ID VARIABILITY; AFRICA
AB Climate change is a global phenomenon but disproportionately affects smallholder farmers, prompting them to use various coping and adaptation strategies to counter the problem. This study aimed to examine the trends of climate parameters, assess farmers' perception of climate change, and identify the strategies of adaptation measures in central Ethiopia. Climate data were obtained from the National Meteorological Agency. Survey data were collected from 120 randomly selected households in 2017 and complemented with focus group discussions. The Mann-Kendall approach was used to detect climate trends, while a rainfall anomaly was calculated using the rainfall anomaly index. Multinomial logit model was used to examine determinants of farmers' adaptation to the perceived change. In most of the cases, farmers' perceptions were in accordance with climate trend analyses. Farmers used crop diversification, adjustments of planting dates, destocking of livestock, seasonal migration, crop rotation, and climate information services to adapt to climate-related shocks. Empirical results showed that the age and education of the household heads, family size, access to extension services, and farm and nonfarm incomes had a significant association with the adaptation practices farmers took. The existence of strong correlations between the demographic, socio-institutional variables, and the choice of adaptation strategies suggests the need to strengthen local institutions to enhance the adaptation of smallholder farmers to climate change.
C1 [Megersa, Girma Geleta] Salale Univ, Coll Agr & Nat Resources, Dept Plant Sci, POB 245, Fiche, Ethiopia.
   [Jaleta, Moti; Tesfaye, Kindie] Int Maize & Wheat Improvement Ctr CIMMYT, POB 5689, Addis Ababa, Ethiopia.
   [Getnet, Mezegebu] Stichting Wageningen Res SWR Ethiopia, Wereda 9,POB 30912, Addis Ababa, Ethiopia.
   [Tana, Tamado] Univ Eswatini, Fac Agr, Dept Crop Prod, POB M205, Luyengo, Eswatini.
   [Lakew, Berhane] Ethiopian Inst Agr Res, Holeta Agr Res Ctr, POB 2003, Holeta, Ethiopia.
C3 CGIAR; International Maize & Wheat Improvement Center (CIMMYT);
   Ethiopian Institute of Agricultural Research (EIAR)
RP Megersa, GG (corresponding author), Salale Univ, Coll Agr & Nat Resources, Dept Plant Sci, POB 245, Fiche, Ethiopia.
EM girme.megersa@gmail.com; m.jaleta@cgiar.org; k.tesfayefantaye@cgiar.org;
   mezegebu.getnet.swr@gmail.com; tamado@uniswa.sz; berhanekaz@yahoo.com
RI Megersa, Girma/GSN-3485-2022
OI , Mezegebu/0000-0001-8678-5790; Tesfaye, Kindie/0000-0002-7201-8053
FU EthiopianMinistry of Education
FX This research was funded by EthiopianMinistry of Education. Funding
   number is 60000 ETB which is approximately 1140$.
CR Ademe D, 2020, WEATHER CLIM EXTREME, V29, DOI 10.1016/j.wace.2020.100263
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adimassu Z., 2016, Environmental Systems Research, V5, P1, DOI DOI 10.1186/S40068-016-0065-2
   Amadou M., 2015, Ghana Journal of Geography, V7, P47
   [Anonymous], 2014, Research in Applied Economics, DOI DOI 10.5296/RAE.V6I4.6121
   [Anonymous], 2007, INT FOOD POLICY RES
   [Anonymous], 2002, Econometric Analysis
   [Anonymous], 2011, AGRIS ON LINE PAPERS, DOI DOI 10.22004/AG.ECON.116378
   Antwi-Agyei Philip, 2013, Environment Development and Sustainability, V15, P903, DOI 10.1007/s10668-012-9418-9
   Asayehegn K, 2017, CAH AGRIC, V26, DOI 10.1051/cagri/2017007
   Asfaw A, 2018, WEATHER CLIM EXTREME, V19, P29, DOI 10.1016/j.wace.2017.12.002
   Atinkut B., 2016, ENV SYST RES, V5, P1, DOI [10.1186/s40068-015-0046-x, DOI 10.1186/S40068-015-0046-X]
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Cherinet A., 2017, Thesis for in Partial Fulfilment of the Requirements for the Degree of Masters of Arts in Specialization of Climate Change and Adaptation Stream
   Debela N, 2015, SPRINGERPLUS, V4, DOI 10.1186/s40064-015-1012-9
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Enete A.A, 2011, Indigenous agricultural adaptation to climate change: Study of Southeast Nigeria
   EPCC, 2015, ETH PAN CLIM CHANG 1
   Etana D, 2020, CLIMATE, V8, DOI 10.3390/cli8110121
   Feleke FB, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-3042-3
   Gbetibouo G. A., 2009, 00849 IFPRI, P52, DOI [10.1068/a312017, DOI 10.1068/A312017]
   Ghebrezgabher MG, 2016, ADV METEOROL, V2016, DOI 10.1155/2016/8057641
   GREEN SB, 1991, MULTIVAR BEHAV RES, V26, P499, DOI 10.1207/s15327906mbr2603_7
   Gujarati D. N., 2003, BASIC ECONOMETRICS
   Gutu Tesso Gutu Tesso, 2012, African Crop Science Journal, V20, P261
   Hirpha HH, 2020, INT J CLIM CHANG STR, V12, P463, DOI 10.1108/IJCCSM-01-2019-0002
   Igbalajobi O., 2013, AM J RURAL DEV, V1, P131, DOI DOI 10.12691/AJRD-1-5-5
   Jiri O., 2017, Change Adapt Socio-Ecol Syst, V3, P47
   Juana J. S., 2013, Journal of Agricultural Science (Toronto), V5, P121
   Kassie BT, 2014, J AGR SCI-CAMBRIDGE, V152, P58, DOI 10.1017/S0021859612000986
   KENDALL K, 1975, J PHYS D APPL PHYS, V8, P1449, DOI 10.1088/0022-3727/8/13/005
   Limantol AM, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2433-9
   Maddison D., 2006, PERCEPTION ADAPTATIO, P1, DOI [10.1007/s13398-014-0173-7.2., DOI 10.1007/S13398-014-0173-7.2]
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Megers G., 2019, ETHIOPIAN J CROP SCI, V7, P89
   Mihiretu A, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06529
   Misganaw A, 2014, J HEALTH POPUL NUTR, V32, P1
   Ndamani F, 2016, SCI AGR, V73, P201
   Skot J., 2016, STATE FOOD AGR CLIMA
   Thornton PK, 2011, PHILOS T R SOC A, V369, P117, DOI 10.1098/rsta.2010.0246
   Waongo M, 2015, AGR FOREST METEOROL, V205, P23, DOI 10.1016/j.agrformet.2015.02.006
   Wassie S.B., 2020, Environ. Syst. Res, V9, P33, DOI DOI 10.1186/S40068-020-00194-1
   Weldegebriel N.W., 2017, ENV POLLUT CLIM CHAN, V1, P1, DOI [10.4172/2573-458X.1000125, DOI 10.4172/2573-458X.1000125]
   World Bank, 2008, ETH COUNTR STUD EC I
NR 45
TC 11
Z9 11
U1 4
U2 14
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2022
VL 14
IS 11
AR 6590
DI 10.3390/su14116590
PG 15
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 2B0QZ
UT WOS:000809901000001
OA gold
DA 2025-01-10
ER

PT J
AU Pak-Uthai, S
   Faysse, N
AF Pak-Uthai, Surutwadee
   Faysse, Nicolas
TI The risk of second-best adaptive measures: Farmers facing drought in
   Thailand
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Adaptive measure; Drought; Risk; Thailand
ID CLIMATE-CHANGE; ADAPTATION; RESILIENCE; CROP; VULNERABILITY;
   PRODUCTIVITY; CAPACITY; IMPACTS; PROFITABILITY; PERSPECTIVES
AB The measures taken by farmers to adapt to climate events are generally characterized in terms of the required resources and their effects, and based on these effects, measures are typified as leading to short-term or long-term adaptation, or to maladaptation. This paper examines the short-term effects of adaptive measures taken by farmers in Suphanburi Province, Thailand, to deal with the major hydrological drought in 2015 and 2016. The farmers implemented diverse measures aimed at increasing access to water, reducing their need for irrigation water or obtaining a non-agricultural income. Less than one third of interviewed farmers were able to implement first-best adaptive measures, which involved little risk as farmers had secure access to alternative sources of water and to markets. The other farmers were unable to implement these measures. Half of the farmers opted for second-best measures, which involved risky attempts to increase access to water or to shift to other productions. Farmers also took other second-best adaptive measures that involved much less risk, such as non-agricultural activities, but that only provided a limited income. Therefore, based on their short-term effects, most adaptive actions could not be typified in terms of increasing or decreasing farmers' vulnerability to drought, but far better in terms of the risks they involved.
C1 [Pak-Uthai, Surutwadee; Faysse, Nicolas] Asian Inst Technol, Sch Environm Resources & Dev, POB 4, Khlong Luang 12120, Pathumthani, Thailand.
   [Faysse, Nicolas] Univ Montpellier, G Eau Res Unit, Cirad, Montpellier, France.
C3 Asian Institute of Technology; Universite de Montpellier; CIRAD
RP Pak-Uthai, S (corresponding author), Asian Inst Technol, Sch Environm Resources & Dev, POB 4, Khlong Luang 12120, Pathumthani, Thailand.
EM spakuthai@gmail.com; faysse@cirad.fr
FU Ministry of Agriculture and Cooperatives of Thailand; Asian Institute of
   Technology
FX The research has been supported by a scholarship from the Ministry of
   Agriculture and Cooperatives of Thailand and the Asian Institute of
   Technology.
CR Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Alary V, 2014, WORLD DEV, V62, P125, DOI 10.1016/j.worlddev.2014.05.004
   [Anonymous], 5 I SOC ENV TRANS BO
   [Anonymous], ENV SYST RES
   [Anonymous], 2006, ECOL SOC
   [Anonymous], 2007, EC COSTS DROUGHT RIC
   Ashraf M, 2014, NAT HAZARDS, V73, P1451, DOI 10.1007/s11069-014-1149-9
   Barnett J, 2015, ECOL SOC, V20, DOI 10.5751/ES-07698-200305
   Berman R, 2012, ENVIRON DEV, V2, P86, DOI 10.1016/j.envdev.2012.03.017
   Berry HL, 2011, ASIA-PAC J PUBLIC HE, V23, p119S, DOI 10.1177/1010539510392556
   Birthal PS, 2015, FOOD POLICY, V56, P1, DOI 10.1016/j.foodpol.2015.07.005
   Boonperm J, 2013, J ASIAN ECON, V25, P3, DOI 10.1016/j.asieco.2013.01.001
   Brida AB, 2013, INT J GLOBAL WARM, V5, P514, DOI 10.1504/IJGW.2013.057291
   Browne N, 2013, AGR SYST, V117, P35, DOI 10.1016/j.agsy.2013.01.002
   Campbell D, 2011, APPL GEOGR, V31, P146, DOI 10.1016/j.apgeog.2010.03.007
   Cenacchi N., 2014, 01372 INT FOOD POL R
   Cunguara B, 2011, AGR ECON-BLACKWELL, V42, P701, DOI 10.1111/j.1574-0862.2011.00542.x
   Di Falco S, 2008, LAND ECON, V84, P83, DOI 10.3368/le.84.1.83
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Eriksen SH, 2009, ENVIRON SCI POLICY, V12, P1, DOI 10.1016/j.envsci.2008.10.010
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Ginigaddara GAS, 2009, AUST J CROP SCI, V3, P278
   Habiba U, 2012, INT J DISAST RISK RE, V1, P72, DOI 10.1016/j.ijdrr.2012.05.004
   Hardaker J.B., 2015, Coping with Risk in Agriculture, V3rd
   Dang HL, 2014, NAT HAZARDS, V71, P385, DOI 10.1007/s11069-013-0931-4
   Jiri O, 2017, INT J CLIM CHANG STR, V9, P151, DOI 10.1108/IJCCSM-07-2016-0092
   Kabir MJ, 2017, LAND USE POLICY, V64, P212, DOI 10.1016/j.landusepol.2017.02.026
   Keil A, 2008, CLIMATIC CHANGE, V86, P291, DOI 10.1007/s10584-007-9326-4
   Keshavarz M, 2017, INT J DISAST RISK RE, V21, P223, DOI 10.1016/j.ijdrr.2016.12.012
   Kiem AS, 2016, CLIMATIC CHANGE, V139, P37, DOI 10.1007/s10584-016-1798-7
   Kiem AS, 2013, GLOBAL ENVIRON CHANG, V23, P1307, DOI 10.1016/j.gloenvcha.2013.06.003
   Mortazavi-Naeini M, 2015, ENVIRON MODELL SOFTW, V69, P437, DOI 10.1016/j.envsoft.2015.02.021
   Mutabazi KD, 2015, REG ENVIRON CHANGE, V15, P1259, DOI 10.1007/s10113-015-0800-7
   Office of Agricultural Economics, 2015, ANN REP YEAR 2015
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Panda A, 2013, GLOBAL ENVIRON CHANG, V23, P782, DOI 10.1016/j.gloenvcha.2013.03.002
   Pauline NM, 2017, CLIM DEV, V9, P217, DOI 10.1080/17565529.2016.1184607
   Prado DS, 2015, OCEAN COAST MANAGE, V113, P29, DOI 10.1016/j.ocecoaman.2015.05.018
   Royal Irrigation Department, 2015, WAT MAN PLAN DRY SEA
   Shah T., 2010, TAMING ANARCHY GROUN, DOI DOI 10.4324/9781936331598
   Singh C, 2016, LAND USE POLICY, V59, P329, DOI 10.1016/j.landusepol.2016.06.041
   Speranza CI, 2013, REG ENVIRON CHANGE, V13, P521, DOI 10.1007/s10113-012-0391-5
   Thailand Development Research Institute, 2014, CORR PADD PLEDG POL
   Thailand Development Research Institute, 2014, IS 2014 DROUGHT CRIS
   Tibesigwa B, 2017, ENVIRON DEV SUSTAIN, V19, P607, DOI 10.1007/s10668-015-9755-6
   Udmale P, 2014, INT J DISAST RISK RE, V10, P250, DOI 10.1016/j.ijdrr.2014.09.011
   Van Loon AF, 2016, HYDROL EARTH SYST SC, V20, P3631, DOI 10.5194/hess-20-3631-2016
   Venot JP, 2010, J IRRIG DRAIN ENG, V136, P595, DOI 10.1061/(ASCE)IR.1943-4774.0000225
   Vincent K, 2013, CLIM DEV, V5, P194, DOI 10.1080/17565529.2013.821052
   Warner BP, 2016, AGR HUM VALUES, V33, P785, DOI 10.1007/s10460-015-9661-4
   Wilk J, 2013, REG ENVIRON CHANGE, V13, P273, DOI 10.1007/s10113-012-0323-4
NR 51
TC 15
Z9 16
U1 0
U2 11
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD JUN
PY 2018
VL 28
BP 711
EP 719
DI 10.1016/j.ijdrr.2018.01.032
PG 9
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 GD1TK
UT WOS:000430284000065
DA 2025-01-10
ER

PT J
AU Balbi, S
   Giupponi, C
   Perez, P
   Alberti, M
AF Balbi, Stefano
   Giupponi, Carlo
   Perez, Pascal
   Alberti, Marco
TI A spatial agent-based model for assessing strategies of adaptation to
   climate and tourism demand changes in an alpine tourism destination
SO ENVIRONMENTAL MODELLING & SOFTWARE
LA English
DT Article
DE Alpine tourism; Spatial agent-based model; Climate change; Adaptation
   strategies; Social simulation
AB A vast body of literature suggests that the European Alpine Region is amongst the most sensitive socio-ecosystems to climate change impacts. Our model represents the winter tourism socio-ecosystem of Auronzo di Cadore, located in the Dolomites (Italy), which economic and environmental conditions are highly vulnerable to climate variations. This agent-based model includes eight types of agents corresponding to different winter tourist profiles based on their socio-economic background and activity targets. The model is calibrated with empirical data while results are authenticated through direct interaction of local stakeholders with the model. The model is then used for assessing three hypothetical and contrasted infrastructure-oriented adaptation strategies for the winter tourism industry, that have been previously discussed with local stakeholders, as possible alternatives to the "business-as-usual" situation. These strategies are tested against multiple future scenarios that include: (a) future weather conditions in terms of snow cover and temperature, (b) the future composition and total number of tourists and (c) the type of market competition. A set of socio-economic indicators, which are strongly coupled with relevant environmental consequences, are considered in order to draw conclusions on the robustness of the selected strategies. (c) 2012 Elsevier Ltd. All rights reserved.
C1 [Balbi, Stefano; Giupponi, Carlo] Ca Foscari Univ Venice, Dept Econ, I-30121 Venice, Italy.
   [Perez, Pascal] Univ Wollongong, SMART Infrastruct Facil, Wollongong, NSW 2522, Australia.
   [Alberti, Marco] Univ Nova Lisboa, CENTRIA, P-1200 Lisbon, Portugal.
C3 Universita Ca Foscari Venezia; University of Wollongong; Universidade
   Nova de Lisboa
RP Balbi, S (corresponding author), Ca Foscari Univ Venice, Dept Econ, Cannaregio 873, I-30121 Venice, Italy.
EM stefano.balbi@unive.it; cgiupponi@unive.it; pascal@uow.edu.au;
   m.alberti@fct.unl.pt
RI Giupponi, Carlo/E-5895-2012; BALBI, STEFANO/M-5740-2013; Alberti,
   Marco/H-8797-2017
CR [Anonymous], CLIMATE CHANGE TOURI
   [Anonymous], 2007, Climate Change in the European Alps. Adapting Winter Tourism and Natural Hazards Management
   [Anonymous], 2003, P FRST INT C CLIMATE
   [Anonymous], ALPINE SPACE MAN ENV
   Balbi S., 2010, P 2010 INT C ENV MOD
   Barthel R, 2008, ENVIRON MODELL SOFTW, V23, P1095, DOI 10.1016/j.envsoft.2008.02.004
   Becu N, 2003, ECOL MODEL, V170, P319, DOI 10.1016/S0304-3800(03)00236-9
   Bonzanigo L, 2011, CLIMATE CHANGE ITS I
   Castellari S., 2008, P INT C MOUNT EARL I, P81
   Climate Change Adaptation by Spatial Planning in the Alpine Space (CLISP), 2009, TASK 4 3 3 3 PROC RE
   ClimChAlp, 2008, EXT SCI FIN REP CLIM
   Daidola G., 2006, 1 WWF, V1, P44
   Dolnicar S., 2003, J TRAVEL RES, V41, P193
   Dray A., 2009, P 18 WORLD IMACS C M
   Gao L, 2012, ENVIRON MODELL SOFTW, V31, P3, DOI 10.1016/j.envsoft.2011.12.002
   Grimm V., 2005, INDIVIDUAL BASED MOD
   Grimm V, 2006, ECOL MODEL, V198, P115, DOI 10.1016/j.ecolmodel.2006.04.023
   Hahn F., 2004, INNEVAMENTO ARTIFICI
   Janssen MA, 2006, ECOL SOC, V11
   Macchiavelli A., 2009, J ALPINE RES, V97
   Provincia Autonoma di Bolzano (ASTAT), 2009, 29 ASTAT
   Provincia Autonoma di Trento (Osservatorio Provinciale per il Turismo), 2007, STAG TUR INV 2006 07
   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]
   Ratto M, 2012, ENVIRON MODELL SOFTW, V34, P1, DOI 10.1016/j.envsoft.2011.11.003
   Schukert M., 2011, COPING GLOBAL CLIMAT
   Smajgl A, 2011, ENVIRON MODELL SOFTW, V26, P837, DOI 10.1016/j.envsoft.2011.02.011
   Soboll A, 2011, ANN ASSOC AM GEOGR, V101, P1049, DOI 10.1080/00045608.2011.561126
   Steiger R, 2010, CLIM RES, V43, P251, DOI 10.3354/cr00941
   Urbanc M., 2011, CLIMALPTOUR CLIMATE
   Werner BT, 2007, GEOMORPHOLOGY, V91, P393, DOI 10.1016/j.geomorph.2007.04.020
   World Wide Found (WWF), 2006, 1 WWF, V1
   ,, 2008, Climate change adaptation and mitigation in the tourism sector: frameworks, tools and practices
NR 32
TC 48
Z9 49
U1 2
U2 78
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1364-8152
EI 1873-6726
J9 ENVIRON MODELL SOFTW
JI Environ. Modell. Softw.
PD JUL
PY 2013
VL 45
BP 29
EP 51
DI 10.1016/j.envsoft.2012.10.004
PG 23
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 168DH
UT WOS:000320685400004
DA 2025-01-10
ER

PT J
AU Subramanian, RR
AF Subramanian, Reetika Revathy
TI <i>Gate-Cane:</i> (Un)tying the knots between climate, cane, and early
   marriage in rural India
SO CLIMATE AND DEVELOPMENT
LA English
DT Article; Early Access
DE Climate adaptation; early marriage; drought; labour migration; India
ID CHILD MARRIAGE; SUGAR-INDUSTRY; GENDER; LABOR; MAHARASHTRA; CONTEXT;
   DROUGHT; DOWRY; CASTE
AB In this article, I examine the multiple tensions and interactions between social reproduction and the trajectories of accumulation amidst climate change in India's historically drought-prone Marathwada region. By linking everyday experiences to broader socioecological transformations, I draw on the local practice of Gate-Cane weddings in Marathwada, and situate it within the context of climate change, capitalist agriculture, and gendered labour relations. Specifically, I document the ways in which cyclical drought and peculiar labour arrangements in the sugarcane industry have multiplied the drivers and compounded the problem of early marriage in the region. I combine a feminist political ecology framework with social reproduction and girlhood theories to make a twofold argument: first, recurring dry spells, loss of local livelihoods and the urgency to migrate and survive, are aggravating the drivers of early marriage in Marathwada. Second, by absorbing the marital unit into the labour unit - marked by territorial dislocation, patriarchal control, and devaluation of young women's and girls' work - the sugar industry sustains and reproduces early marriage. The article is based on a multi-sited feminist ethnography, including intergenerational family conversations, group discussions, stakeholder interviews, and thick field notes documented in village households and cane fields between October 2020 and August 2021.
C1 [Subramanian, Reetika Revathy] Univ Cambridge, Dept Polit & Int Studies, Cambridge, England.
   [Subramanian, Reetika Revathy] 11 John St, Cambridge CB11DT, England.
C3 University of Cambridge
RP Subramanian, RR (corresponding author), 11 John St, Cambridge CB11DT, England.
EM rs893@cam.ac.uk
OI Subramanian, Reetika/0000-0003-4459-3226
FU Manaswini Mahila Prakalp and Mahila Kisan Adhikaar Manch
FX I would like to thank the teams of Manaswini Mahila Prakalp and Mahila
   Kisan Adhikaar Manch for supporting me in Marathwada. I am grateful to
   my PhD supervisor, Professor Samita Sen, for her invaluable insights.
   Special thanks to Anubhav Joshi for his detailed feedback on previous
   drafts of the article, and to the peer reviewers of Climate and
   Development journal for their critical inputs.
CR Ahmed KJ, 2019, POPUL ENVIRON, V40, P303, DOI 10.1007/s11111-019-0312-3
   Alston M, 2014, WOMEN STUD INT FORUM, V47, P137, DOI 10.1016/j.wsif.2014.08.005
   Amrit K, 2020, ARAB J GEOSCI, V13, DOI 10.1007/s12517-020-06400-9
   [Anonymous], 2016, The Indian Express
   [Anonymous], 2012, SIG Working Paper
   Archambault CS, 2011, AM ANTHROPOL, V113, P632, DOI 10.1111/j.1548-1433.2011.01375.x
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Assan E, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5080086
   Attwood Donald., 1992, Raising Cane: The Political Economy of Sugar in Western India
   Babugura A., 2010, GENDER CLIMATE CHANG
   Bandyopadhyay O., 2023, British Safety Council
   Bansode P., 2021, Economic and Political Weekly, V56, P30
   Bansode P., 2013, Artha Vijnana, V55, P366
   Batha E., 2015, Reuters
   Baviskar B.S., 1980, POLITICS DEV SUGAR C
   Bhadbhade N., 2019, Economic Political Weekly, V54, P13
   Bhadwal S, 2019, ENVIRON DEV, V31, P68, DOI 10.1016/j.envdev.2019.04.008
   BHAT GK, 1995, ECON POLIT WEEKLY, V30, P1826
   Bhukuth A, 2007, J ECON STUD, V34, P311, DOI 10.1108/01443580710817434
   Biswas P., 2022, The Indian Express
   BREMAN J, 1990, J PEASANT STUD, V17, P546, DOI 10.1080/03066159008438436
   BREMAN J, 1979, J PEASANT STUD, V6, P168, DOI 10.1080/03066157908438072
   Breman J., 1978, Economic and Political Weekly, V13, P1317
   Breman J., 1996, Footloose Labour: Working in India's Informal Economy., V2
   Brundtland Gro., 2011, The facts about child marriage
   Cannon Terry., 2002, GENDER DEV, V10, P45, DOI [DOI 10.1080/13552070215906, https://doi.org/10.1080/13552070215906]
   CHAKRAVARTI U, 1993, ECON POLIT WEEKLY, V28, P579
   CHITHELEN I, 1985, ECON POLIT WEEKLY, V20, P604
   Chowdhry P., 2007, CONTENTIOUS MARRIAGE
   Dandekar P., 2013, Maharashtra drought: Breaking the sugar shackles
   Dankelman, 2010, Gender and climate change: An introduction, V1st ed.
   Dankelman I., 2010, Gender and climate change: An introduction, P49
   Del Franco N., 2014, Negotiating adolescence in rural Bangladesh: A journey through school, love and marriage
   Demetriades J, 2010, NEW FRONT SOC POLICY, P133
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   DEVAULT ML, 1990, SOC PROBL, V37, P96, DOI 10.1525/sp.1990.37.1.03a00070
   Dewi LPRK, 2019, VULNERABLE CHILD YOU, V14, P24, DOI 10.1080/17450128.2018.1546025
   DHANAGARE DN, 1992, ECON POLIT WEEKLY, V27, P1421
   Djoudi H, 2016, AMBIO, V45, pS248, DOI 10.1007/s13280-016-0825-2
   Doshi R., 2016, Hindustan Times
   Dube L., 1997, WOMEN KINSHIP COMP P
   DYSON T, 1992, ECON POLIT WEEKLY, V27, P1325
   Eldridge C, 2002, IDS BULL-I DEV STUD, V33, P79, DOI 10.1111/j.1759-5436.2002.tb00047.x
   Elmhirst R, 2011, GEOFORUM, V42, P129, DOI 10.1016/j.geoforum.2011.01.006
   Felten-Biermann C., 2006, Development, V49, P82, DOI 10.1057/palgrave.development.1100276
   Floro M. S., 2012, The crises of environment and social reproduction: Understanding their linkages
   Girls Not Brides, 2016, Child marriage in humanitarian Crisis
   Goh A.H.X., 2012, LIT REV GENDER DIFFE, DOI [DOI 10.2499/CAPRIWP106, 10.2499/CAPRIWP106]
   Gopal M., 2016, Addressing early and child marriage in India: A participatory study on mapping outcomes
   Gopal M, 2012, CURR SOCIOL, V60, P222, DOI 10.1177/0011392111429223
   Gunaratnam Y, 2017, FEMINIST REV, P1, DOI 10.1057/s41305-017-0023-5
   GURU G, 1991, ECON POLIT WEEKLY, V26, P2926
   Hans A., 2021, Engendering climate change: Learnings from South Asia, P262
   Harcourt Wendy., 2005, WOMEN POLITICS PLACE
   Hesse K, 1996, CONTRIB INDIAN SOC, V30, P109, DOI 10.1177/006996679603000105
   Hussien H.H, 2013, Wulfenia Journal, V20, P171
   International Institute for Population Sciences (IIPS) and ICF, 2021, National Family Health Survey (NFHS-5), 20192021: India
   International Institute for Population Sciences (IIPS) and Macro International, 2000, National Family Health Survey (NFHS-2) 1998-99
   International Institute of Population Science (IIPS) and ICF, 2017, National family health survey (NFHS-4). 201516
   Iyer K., 2021, Landscapes of loss: The story of an Indian drought
   Jadhav R., 2016, The Times of India
   Jaleel CPA, 2022, CONTEMP VOICE DALIT, V14, P80, DOI 10.1177/2455328X211000476
   Jayaram N., 2019, Gender Development, V27, P85, DOI [DOI 10.1080/13552074.2019.1576308, 10.1080/13552074.2019, DOI 10.1080/13552074.2019]
   John M. E., 2009, Economic and Political Weekly, V44, P16
   Joshi B., 2009, Circular migration and multilocational livelihood strategies in rural India, P118
   Joshi Shareen., 2014, Marrying in South Asia: Shifting Concepts, Changing Practices in a Globalising World, P208
   Jugale V. B., 1997, Indian Journal of Agricultural Economics, V52, P613
   Kakodkar P., 2016, The Times of India
   Kakodkar P., 2018, Half of Maharashtra reports deficient rainfall, triggering drought fear
   Kaur Ravinder., 2004, ECON POLIT WEEKLY, V39, P2595
   Krishna S., 2009, Genderscapes
   Kumar S., 2019, International Journal of Science, Environment and Technology, V8, P278
   Ladejinsky Wolf., 1973, Economic and Political Weekly, V8, P383
   Lambrou Y., 2006, GENDER MISSING COMPO, P1
   Little Daniel., 1986, SCI MARX
   MacGregor S., 2010, J INDIAN OCEAN REG, V6, P223, DOI [DOI 10.1080/19480881.2010.536669, 10.1080/19480881.2010.536669]
   Madan T.N., 1975, CONTR IND SOC, V9, P217, DOI DOI 10.1177/006996677500900204
   Mahase E., 2022, UN warns of "devastating"effect of covid-19, conflict, and climate change on women's and children's health
   Marius-Gnanou K., 2008, Autrepart, P127, DOI DOI 10.3917/AUTR.046.0127
   Marpakwar P., 2013, The Times of India
   Masika R., 2002, Gender and Development, V10, P2, DOI 10.1080/13552070215910
   MATSON J, 1983, B CONCERN ASIA SCHOL, V15, P18, DOI 10.1080/14672715.1983.10404880
   Matthan T, 2023, J PEASANT STUD, V50, P114, DOI 10.1080/03066150.2022.2116316
   McLeod C., 2019, Columbia Journal of Gender and Law, V38, P94
   Menon M., 2013, HINDU
   Mensch B.S., 1998, The uncharted passage: girls' adolescence in the developing world
   Mitchell C, 2013, GIRLHOOD STUD, V6, P1, DOI 10.3167/ghs.2013.060101
   Modak Sadaf, 2020, The Indian Express
   Mohan R., 2014, Troubled waters: Child brides in flood-ravaged Assam, India
   Morchain D., 2015, GENDER DEV, V23, DOI [DOI 10.1080/13552074.2015.1096620, 10.1080/13552074.2015.1096620]
   More M. D., 2016, The Indian Express
   Nagaraj K., 2014, Review of Agrarian Studies, V4, P55
   Nathanson ConstanceA., 1991, Dangerous Passage: The Social Control of Sexuality in Women's Adolescence
   Nielsen J., 2009, Question of Resilience, P159
   Nishat JF, 2023, FRONT PSYCHIATRY, V13, DOI 10.3389/fpsyt.2022.1074208
   North A., 2010, Beyond Access: Gender, Education and Development, P1
   Nusrat N., 2019, Children risk early marriage: Climate change one of the factors
   Nuthalapati CSR, 2020, WORLD DEV, V134, DOI 10.1016/j.worlddev.2020.105034
   O'Brien G., 2015, Development policy as a way to manage climate change risks, P194
   Otoo-Oyortey N., 2003, GENDER DEV, V11, P42, DOI [10.1080/741954315, DOI 10.1080/741954315]
   Oxfam India Discussion Paper, 2020, Human cost of sugar: Living and working condition of migrant cane-cutters in Maharashtra
   Palriwala R., 2008, Marriage, migration and gender, V5
   Paprocki K., 2021, Threatening dystopias: The global politics of climate change adaptation in Bangladesh, DOI 10.7591/cornell/9781501759154.001.0001
   Paprocki K, 2018, ANN AM ASSOC GEOGR, V108, P955, DOI 10.1080/24694452.2017.1406330
   Parsons J, 2015, REV FAITH INT AFF, V13, P12, DOI 10.1080/15570274.2015.1075757
   Parth M. N., 2018, What happened to us will not happen to her
   Parth M. N., 2021, People's Archive of Rural India
   Pattadath B., 2020, Journal of Migration Affairs, V2, P22, DOI [https://doi.org/10.36931/jma.2020.2.2.22-36, DOI 10.36931/JMA.2020.2.2.22-36]
   Paul P, 2021, ASIA-PAC J PUBLIC HE, V33, P162, DOI 10.1177/1010539520975292
   Pearse R, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.451
   Plan International, 2013, Because I am a girl: The state of the world's girls 2013- In double jeopardy: Adolescent girls and disasters
   Priolker A., 2019, Bloomberg Quint
   Qaisrani A., 2021, Engendering climate change: Learnings from South Asia, P19
   Raheja GloriaGoodwin., 1994, Listen to the Heron's Words: Reimagining Gender and Kinship in North India
   Ramamurthy P., 2014, Marrying in South Asia: Shifting concepts, changing practices in a globalising world, P161
   Rao N, 2019, CLIM DEV, V11, P14, DOI 10.1080/17565529.2017.1372266
   Rao N, 2015, GENDER SOC, V29, P410, DOI 10.1177/0891243214554798
   Rege S, 1998, ECON POLIT WEEKLY, V33, pWS39
   Resurrección BP, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P491, DOI 10.1007/978-3-319-92288-1_14
   Rocheleau Dianne., 1996, FEMINIST POLITICAL E
   Roy S. N., 2018, Migration to Brick Kilns in India, An appraisal
   Roy SS, 2018, SPRINGER CLIMATE, P1, DOI 10.1007/978-3-319-75777-3
   Sarkar S., 2019, Women lead with climate-smart farming in Marathwada
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Sen S., 2020, Love, labour and law: Early and child marriage in India
   Sen S., 2021, Home, belonging and memory in migration: Leaving and living, P103
   Shah A, 2006, CONTRIB INDIAN SOC, V40, P91, DOI 10.1177/006996670504000104
   Sharma A. K., 2011, Agricultural Economics Research Review, V24, P401
   Singh C, 2021, CLIM POLICY, V21, P958, DOI 10.1080/14693062.2021.1953434
   Srivastava S., 2021, Dowry demand and other risk factors for intimate partner violence against adolescent girls: A cross-sectional study in India
   Subramanian R. R., 2020, The Firstpost
   Sultana F, 2014, PROF GEOGR, V66, P372, DOI 10.1080/00330124.2013.821730
   Suresh S. P., 2013, Production functions in sugar industry: A case study of Chittoor District of Andhra Pradesh
   Swain S, 2022, ENVIRON MONIT ASSESS, V194, DOI 10.1007/s10661-022-10532-8
   Talule D., 2020, ECON POLIT WEEKLY, V55
   Tichagwa W, 1994, Focus Gend, V2, P20
   Times News Network, 2020, Times of India
   Trew Bel., 2019, Independent
   Uberoi P., 1993, Family kinship and marriage in India
   Vartak K., 2016, Social Science Spectrum, V2, P131
   Vedeld T., 2014, The energy and resources institute (TERI) and Norwegian institute of urban and regional research (NIBR), P1
   Visaria L, 2021, J SOCIAL EC DEV, V23, P113, DOI 10.1007/s40847-020-00120-2
   Vohra S., 2022, Mongabay India
   Waghmore Suryakant., 2013, Civility against Caste: Dalit Politics and Citizenship in Western India
   White SC, 2017, J CONTEMP ASIA, V47, P247, DOI 10.1080/00472336.2016.1239271
   Williams S, 2020, GENDER PLACE CULT, V27, P831, DOI 10.1080/0966369X.2019.1657070
   YASHADA, 2014, Maharashtra human development report 2012: Towards inclusive human development
   Yuval-Davis N, 2006, EUR J WOMENS STUD, V13, P193, DOI 10.1177/1350506806065752
NR 148
TC 1
Z9 1
U1 3
U2 5
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD 2024 MAR 7
PY 2024
DI 10.1080/17565529.2024.2326117
EA MAR 2024
PG 14
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA KP4U0
UT WOS:001181164900001
OA hybrid
DA 2025-01-10
ER

PT J
AU Zanocco, C
   Sousa-Silva, R
AF Zanocco, Chad
   Sousa-Silva, Rita
TI Extreme heat experience influences public support for local climate
   adaptation policies in Germany
SO URBAN CLIMATE
LA English
DT Article
DE Extreme heat experience; Climate change; Local government; Heat
   adaptation policy
ID HOT WEATHER; HEALTH; PERCEPTIONS; WAVES; MORTALITY; EUROPE; URBAN; RATES
AB Extreme heat events, made more frequent and severe by climate change, are negatively impacting human populations across the world. Understanding how populations are being impacted, especially among the most vulnerable, is therefore a policy imperative. We contribute to this understanding by investigating experiences of Germans following the summer of 2022, a season noteworthy for extreme temperatures throughout Europe. We conducted a survey of German residents (n = 2356) and found that a wide majority (85%) reported negative impacts from heat, including difficulty falling asleep, discomfort, and decreased productivity. These impacts occurred more frequently for vulnerable groups, such as the financially insecure. Furthermore, we found that living in areas with more frequent high temperature days (i.e., objective heat experience) corresponded to higher reported impacts from heat. We then identified factors influencing support for local governmental policies related to heat adaptation. We found broad support among those who reported higher levels of heat impacts, with support for some policies, such as subsidizing residential air conditioning, associated with higher objective heat experience. Our research reinforces the urgent need for comprehensive policies that protect Germans from heat, with a focus on the most vulnerable, as heat impacts are projected to only worsen under future warming.
C1 [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.
   [Sousa-Silva, Rita] Univ Freiburg, Freiburg Inst Adv Studies, Young Acad Sustainabil Res, Albertstr 19, D-79104 Freiburg, Germany.
C3 Stanford University; Leiden University - Excl LUMC; Leiden University;
   University of Freiburg
RP Zanocco, C (corresponding author), Stanford Univ, Civil & Environm Engn, 473 Via Ortega,Room 311, Stanford, CA 94305 USA.
EM czanocco@stanford.edu; a.r.de.sousa.e.silva@cml.leidenuniv.nl
RI Sousa-Silva, Rita/K-9520-2013
OI Sousa-Silva, Rita/0000-0001-8640-6121; Zanocco, Chad/0000-0002-5015-4433
FU Eva Mayr-Stihl Foundation
FX This work was supported by the Eva Mayr-Stihl Foundation.
CR Abrahamson V, 2009, J PUBLIC HEALTH-UK, V31, P119, DOI 10.1093/pubmed/fdn102
   Adnan MSG, 2022, ENVIRON RES, V213, DOI 10.1016/j.envres.2022.113703
   Alkousaa R., 2023, ReutersAugust 22
   Altena E, 2023, J SLEEP RES, V32, DOI 10.1111/jsr.13704
   Ansolabehere S, 2014, POLIT ANAL, V22, P285, DOI 10.1093/pan/mpt025
   Ballester J, 2023, NAT MED, V29, P1857, DOI 10.1038/s41591-023-02419-z
   Beckmann SK, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17030874
   Bergman D, 2022, IEEE POWER ENERGY M, V20, P38, DOI 10.1109/MPE.2022.3199846
   Beullens K, 2018, SURV METHODS INSIGHT, DOI DOI 10.13094/SMIF-2018-00003
   Bhamare DK, 2019, ENERG BUILDINGS, V198, P467, DOI 10.1016/j.enbuild.2019.06.023
   Broomell SB, 2015, GLOBAL ENVIRON CHANG, V32, P67, DOI 10.1016/j.gloenvcha.2015.03.001
   Brucker Gilles, 2005, Euro Surveill, V10, P147
   Cheela VRS, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11030093
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Davis L, 2021, GLOBAL ENVIRON CHANG, V69, DOI 10.1016/j.gloenvcha.2021.102299
   Davis LW, 2015, P NATL ACAD SCI USA, V112, P5962, DOI 10.1073/pnas.1423558112
   Degirmenci K, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102873
   Demski C, 2017, CLIMATIC CHANGE, V140, P149, DOI 10.1007/s10584-016-1837-4
   DWD CDC, 2022, Annual grids of number of hot days over Germany
   Ebi KL, 2021, LANCET, V398, P698, DOI 10.1016/S0140-6736(21)01208-3
   Esplin ED, 2019, WEATHER CLIM SOC, V11, P401, DOI 10.1175/WCAS-D-18-0035.1
   Faurie C, 2022, SCI TOTAL ENVIRON, V852, DOI 10.1016/j.scitotenv.2022.158332
   Flouris AD, 2018, LANCET PLANET HEALTH, V2, pE521, DOI 10.1016/S2542-5196(18)30237-7
   Gabbe CJ, 2023, HOUS POLICY DEBATE, V33, P1078, DOI 10.1080/10511482.2022.2093938
   Gabriel KMA, 2011, ENVIRON POLLUT, V159, P2044, DOI 10.1016/j.envpol.2011.01.016
   Gärtner L, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03176-z
   Gelman A, 2008, STAT MED, V27, P2865, DOI 10.1002/sim.3107
   Hansen A, 2011, INT J ENV RES PUB HE, V8, P4714, DOI 10.3390/ijerph8124714
   Hansen K, 2019, RENEW SUST ENERG REV, V102, P1, DOI 10.1016/j.rser.2018.11.038
   Hass AL, 2021, ENVIRON RES, V197, DOI 10.1016/j.envres.2021.111173
   Howe PD, 2021, CURR OPIN BEHAV SCI, V42, P127, DOI 10.1016/j.cobeha.2021.05.005
   Howe PD, 2014, CLIMATIC CHANGE, V127, P381, DOI 10.1007/s10584-014-1253-6
   Howe PD, 2013, GLOBAL ENVIRON CHANG, V23, P1488, DOI 10.1016/j.gloenvcha.2013.09.014
   Jay O, 2019, ENERG BUILDINGS, V193, P92, DOI 10.1016/j.enbuild.2019.03.037
   Kampe EOI, 2016, BMJ OPEN, V6, DOI 10.1136/bmjopen-2015-010399
   Kenney WL, 2014, MED SCI SPORT EXER, V46, P1891, DOI 10.1249/MSS.0000000000000325
   Khosla R, 2021, NAT SUSTAIN, V4, P201, DOI 10.1038/s41893-020-00627-w
   Laranjeira Kevin, 2021, Climatic Change, V166, DOI 10.1007/s10584-021-03103-2
   Liu JW, 2021, ENVIRON INT, V153, DOI 10.1016/j.envint.2021.106533
   Malik A, 2022, LANCET PLANET HEALTH, V6, pE301, DOI 10.1016/S2542-5196(22)00042-0
   Malmquist A, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19073775
   Martínez-Solanas E, 2021, LANCET PLANET HEALTH, V5, pE446, DOI 10.1016/S2542-5196(21)00150-9
   Morris NB, 2021, LANCET PLANET HEALTH, V5, pE368, DOI 10.1016/S2542-5196(21)00136-4
   Nazarian N, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd350
   Obradovich N, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1601555
   Osberghaus D, 2022, GLOBAL ENVIRON CHANG, V72, DOI 10.1016/j.gloenvcha.2021.102446
   Park CE, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abbd60
   Perkins-Kirkpatrick SE, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16970-7
   Reidmiller D. R., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, VII, DOI [DOI 10.7930/NCA4.2018, 10.7930/NCA4.2018]
   Sanderson K, 2023, NATURE, V619, P232, DOI 10.1038/d41586-023-02219-y
   Sandholz S, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100857
   Schoessow FS, 2022, WEATHER CLIM SOC, V14, P1119, DOI 10.1175/WCAS-D-21-0104.1
   Smid M, 2019, URBAN CLIM, V27, P388, DOI 10.1016/j.uclim.2018.12.010
   Smith D.G., 2023, The New York TimesJuly 20
   Stedman RC, 2019, SOC NATUR RESOUR, V32, P1139, DOI 10.1080/08941920.2019.1587127
   Sun SZ, 2021, BMJ-BRIT MED J, V375, DOI 10.1136/bmj-2021-065653
   Sun T, 2023, ENERG BUILDINGS, V295, DOI 10.1016/j.enbuild.2023.113301
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Szewczyk W, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac24cf
   Tavakol M, 2011, INT J MED EDUC, V2, P53, DOI 10.5116/ijme.4dfb.8dfd
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   UNDRR, 2021, Germany: Inaction on heat plans threatens health.
   van Daalen KR, 2022, LANCET PUBLIC HEALTH, V7, pE942, DOI 10.1016/S2468-2667(22)00197-9
   van Steen Y, 2019, INT ARCH OCC ENV HEA, V92, P37, DOI 10.1007/s00420-018-1360-1
   Wang CH, 2021, RENEW SUST ENERG REV, V146, DOI 10.1016/j.rser.2021.111171
   Ward K, 2016, SCI TOTAL ENVIRON, V569, P527, DOI 10.1016/j.scitotenv.2016.06.119
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Welle Deutsche., 2022, Germany Sees Record-Breaking Heat, Drought, and Sun in 2022 - DW - 12/30/2022
   Welle Deutsche., 2023, Germany draws up plan to prevent heat wave deaths
   Wilhelmi OV, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac1760
   Wong NH, 2021, NAT REV EARTH ENV, V2, P166, DOI 10.1038/s43017-020-00129-5
   Xu ZW, 2016, ENVIRON INT, V89-90, P193, DOI 10.1016/j.envint.2016.02.007
   Yenneti K, 2020, CLIMATE, V8, DOI 10.3390/cli8110126
   YouGov, 2023, Methodology
   Zander KK, 2019, WEATHER CLIM SOC, V11, P505, DOI 10.1175/WCAS-D-18-0074.1
   Zander KK, 2017, ENVIRON RES, V152, P272, DOI 10.1016/j.envres.2016.10.029
   Zanocco C., 2022, PLOS Climate, V1, pe0000026, DOI DOI 10.1371/JOURNAL.PCLM.0000026
   Zanocco C, 2023, SOC NATUR RESOUR, V36, P1045, DOI 10.1080/08941920.2022.2041138
   Zanocco C, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.101984
   Zanocco C, 2018, CLIMATIC CHANGE, V149, P349, DOI 10.1007/s10584-018-2251-x
   Ziter CD, 2019, P NATL ACAD SCI USA, V116, P7575, DOI 10.1073/pnas.1817561116
NR 81
TC 4
Z9 4
U1 5
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD NOV
PY 2023
VL 52
AR 101759
DI 10.1016/j.uclim.2023.101759
EA NOV 2023
PG 12
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA CF1Q5
UT WOS:001123748600001
OA Green Published
DA 2025-01-10
ER

PT J
AU Buzási, A
AF Buzasi, Attila
TI Comparative assessment of heatwave vulnerability factors for the
   districts of Budapest, Hungary
SO URBAN CLIMATE
LA English
DT Article
DE Climate adaptation; Vulnerability assessment; Weighting method; Heatwave
ID LAND-SURFACE TEMPERATURE; CLIMATE-CHANGE; WAVE VULNERABILITY; SOCIAL
   VULNERABILITY; SUSTAINABLE CITIES; URBAN CLIMATE; RESILIENCE; MORTALITY;
   RISKS; CITY
AB Climate change increases the magnitude and frequency of extreme weather events worldwide; therefore, cities are highly vulnerable areas as housing the majority of the global population. This study aims to analyze the heatwave vulnerability of the 23 districts of the Hungarian capital, Budapest, by applying a weighted indicator method. For this purpose, 12 indicators were collected, normalized, and finally categorized to reveal spatial heterogeneity through the selected administration units. Socio-economic variables and remote sensing data have also been involved in the study in order to point out as many aspects as possible. Generally, downtown districts have medium vulnerability due to their increased land surface temperature, higher population density and low yearly income per capita. In the case of both Pest-, and Buda-side outer districts, higher NDVI values pose them at the top of the ranking. At the same time, considerable differences can be found regarding other sensitivity and adaptive capacity values. The high ratio of elderly people with cardiovascular disease and the low number of pharmacies per 1000 people were identified as common weak points in the case of almost every district. The revealed weak points may contribute to defining those aspects where urgent and targeted adaptation actions are needed.
C1 [Buzasi, Attila] Budapest Univ Technol & Econ, Dept Environm Econ & Sustainabil, Muegyet Rkp 3, H-1111 Budapest, Hungary.
C3 Budapest University of Technology & Economics
RP Buzási, A (corresponding author), Budapest Univ Technol & Econ, Dept Environm Econ & Sustainabil, Muegyet Rkp 3, H-1111 Budapest, Hungary.
EM buzasi.attila@gtk.bme.hu
RI Buzasi, Attila/AAC-8040-2020
OI Buzasi, Attila/0000-0002-4088-9276
FU Ministry of Innovation and Technology of Hungary from the National
   Research, Development and Innovation Fund [137595];  [FK_21]
FX Project no. 137595 has been implemented with the support provided by the
   Ministry of Innovation and Technology of Hungary from the National
   Research, Development and Innovation Fund, financed under the FK_21
   funding scheme.
CR Acs F, 2021, INT J CLIMATOL, V41, pE1846, DOI 10.1002/joc.6816
   Aghamohammadi N, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.150331
   Apreda C, 2019, ENVIRON SCI POLICY, V93, P11, DOI 10.1016/j.envsci.2018.12.016
   Bai L, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-015-0081-0
   Bakhsh K, 2018, SUSTAIN CITIES SOC, V41, P95, DOI 10.1016/j.scs.2018.05.021
   Bede-Fazekas A, 2017, IDOJARAS, V121, P393
   Bhattacharjee S., 2019, IOP Conference Series: Earth and Environmental Science, V290, DOI 10.1088/1755-1315/290/1/012162
   Bibri SE, 2017, SUSTAIN CITIES SOC, V31, P183, DOI 10.1016/j.scs.2017.02.016
   Biró K, 2021, ENVIRON DEV SUSTAIN, V23, P5674, DOI 10.1007/s10668-020-00838-3
   Bobvos J, 2015, IDOJARAS, V119, P143
   Breuer H, 2017, THEOR APPL CLIMATOL, V127, P853, DOI 10.1007/s00704-015-1670-0
   Buzási A, 2021, MITIG ADAPT STRAT GL, V26, DOI 10.1007/s11027-021-09943-8
   Buzási A, 2021, CLIMATE, V9, DOI 10.3390/cli9020025
   Campbell S, 2018, HEALTH PLACE, V53, P210, DOI 10.1016/j.healthplace.2018.08.017
   Cariolet JM, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101746
   Cheng J, 2019, SCI TOTAL ENVIRON, V651, P2558, DOI 10.1016/j.scitotenv.2018.10.186
   Christenson Megan, 2017, J Public Health Manag Pract, V23, P396, DOI 10.1097/PHH.0000000000000352
   Coll C, 2010, IEEE T GEOSCI REMOTE, V48, P547, DOI 10.1109/TGRS.2009.2024934
   Conlon KC, 2020, ENVIRON HEALTH PERSP, V128, DOI 10.1289/EHP4030
   Crane M, 2021, ENVIRON INT, V147, DOI 10.1016/j.envint.2020.106366
   Davidson K, 2019, URBAN STUD, V56, P3540, DOI 10.1177/0042098018816010
   Dian C, 2021, IDOJARAS, V125, P431, DOI 10.28974/idojaras.2021.3.4
   Dian C, 2019, GEOGR PANNONICA, V23, P277, DOI 10.5937/gp23-23839
   Diaz D, 2017, NAT CLIM CHANGE, V7, P774, DOI [10.1038/nclimate3411, 10.1038/NCLIMATE3411]
   Dong JQ, 2020, LANDSCAPE URBAN PLAN, V203, DOI 10.1016/j.landurbplan.2020.103907
   Eea, 2012, 22012 EEA
   Foga S, 2017, REMOTE SENS ENVIRON, V194, P379, DOI 10.1016/j.rse.2017.03.026
   Ford JD, 2018, CLIMATIC CHANGE, V151, P189, DOI 10.1007/s10584-018-2304-1
   Formetta G, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.05.004
   Founda D, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11407-6
   Gal T., 2021, Hungarian Geogr. Bull, V70, P19, DOI [10.15201/hungeobull.70.1.2, DOI 10.15201/HUNGEOBULL.70.1.2]
   Göndöcs J, 2018, INT J GLOBAL WARM, V16, P119, DOI 10.1504/IJGW.2018.10015777
   Göndöcs J, 2017, URBAN CLIM, V21, P66, DOI 10.1016/j.uclim.2017.05.005
   Gong YM, 2021, IOP C SER EARTH ENV, V634, DOI 10.1088/1755-1315/634/1/012034
   Guo AD, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102443
   Hajdu T, 2021, POPUL ENVIRON, V43, P131, DOI 10.1007/s11111-021-00380-y
   Hatvani-Kovacs G, 2018, URBAN CLIM, V25, P51, DOI 10.1016/j.uclim.2018.05.001
   He C, 2019, ENVIRON INT, V127, P573, DOI 10.1016/j.envint.2019.01.057
   He XD, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119169
   Henits L, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-017-5779-8
   Ho HC, 2015, INT J ENV RES PUB HE, V12, P16110, DOI 10.3390/ijerph121215046
   Imran HM, 2019, Q J ROY METEOR SOC, V145, P2586, DOI 10.1002/qj.3580
   Inostroza L, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0162464
   JZS - F ARKAS., 2017, Hungarian Geographical Bulletin, V66, P129, DOI [10.15201/hungeobull.66.2.3, DOI 10.15201/HUNGEOBULL.66.2.3]
   Karanja J, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145634
   Kim DW, 2017, NAT HAZARDS, V89, P35, DOI 10.1007/s11069-017-2951-y
   Kim SW, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100771
   Kollanus V, 2021, ENVIRON RES, V201, DOI 10.1016/j.envres.2021.111503
   Kovács A, 2021, HUNG GEOGR BULL, V70, DOI 10.15201/hungeobull.70.3.2
   Kropf Karl., 2017, The Handbook Of Urban Morphology, V1, DOI DOI 10.1002/9781118747711
   Leal W, 2018, J CLEAN PROD, V171, P1140, DOI 10.1016/j.jclepro.2017.10.086
   Lee J.-Y., 2021, CONTRIBUTION WORKING, P3949
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Logan TM, 2020, REMOTE SENS ENVIRON, V247, DOI 10.1016/j.rse.2020.111861
   Macintyre HL, 2018, SCI TOTAL ENVIRON, V610, P678, DOI 10.1016/j.scitotenv.2017.08.062
   Macnee Robert G. D., 2016, Environment Systems & Decisions, V36, P368, DOI 10.1007/s10669-016-9607-4
   Marando F, 2019, ECOL MODEL, V392, P92, DOI 10.1016/j.ecolmodel.2018.11.011
   Marvuglia A, 2020, ECOL MODEL, V438, DOI 10.1016/j.ecolmodel.2020.109351
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Molnár G, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100673
   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
   Niu YL, 2021, CURR CLIM CHANGE REP, V7, P87, DOI 10.1007/s40641-021-00173-3
   Otto IM, 2017, REG ENVIRON CHANGE, V17, P1651, DOI 10.1007/s10113-017-1105-9
   Pearsall H, 2017, APPL GEOGR, V79, P84, DOI 10.1016/j.apgeog.2016.12.010
   Probald F., 2014, Hungarian Geographical Bulletin, V63, P69, DOI DOI 10.15201/HUNGEOBULL.63.1.6
   Raja DR., 2021, Environ Challenges, V4, P100122, DOI [10.1016/j.envc.2021.100122, DOI 10.1016/J.ENVC.2021.100122]
   Räsänen A, 2019, REG ENVIRON CHANGE, V19, P1481, DOI 10.1007/s10113-019-01491-x
   Reckien D, 2018, REG ENVIRON CHANGE, V18, P1439, DOI 10.1007/s10113-017-1273-7
   Reischl C, 2018, CLIM POLICY, V18, P63, DOI 10.1080/14693062.2016.1227953
   Roostaie S, 2019, BUILD ENVIRON, V154, P132, DOI 10.1016/j.buildenv.2019.02.042
   Russo S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08070-4
   Senanayake IP, 2013, URBAN CLIM, V5, P19, DOI 10.1016/j.uclim.2013.07.004
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   Sharma J, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab24ed
   Shi Y, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100797
   Smith CJ, 2019, NUTRIENTS, V11, DOI 10.3390/nu11092010
   Sodiq A, 2019, J CLEAN PROD, V227, P972, DOI 10.1016/j.jclepro.2019.04.106
   Stillinger T, 2019, WATER RESOUR RES, V55, P6169, DOI 10.1029/2019WR024932
   Tong PH, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102276
   Torma CZ, 2020, IDOJARAS, V124, P25, DOI 10.28974/idojaras.2020.1.2
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   UN, 2019, World urbanization prospects 2018: Highlights
   Unger J, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100619
   Ürge-Vorsatz D, 2018, NAT CLIM CHANGE, V8, P174, DOI 10.1038/s41558-018-0100-6
   USGS, 2019, LANDS 7 L7 DAT US HD
   Uzzoli A, 2018, DETUROPE, V10, P53
   van Loenhout JAF, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102933
   Voelkel J, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040640
   Walawender JP, 2014, PURE APPL GEOPHYS, V171, P913, DOI 10.1007/s00024-013-0685-7
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wang XX, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9100402
   Wloczyk C, 2011, INT J REMOTE SENS, V32, P9119, DOI 10.1080/01431161.2010.550332
   Wolf T, 2013, WEATHER CLIM EXTREME, V1, P59, DOI 10.1016/j.wace.2013.07.004
   Xie Y., 2010, Proceedings 18th International Conference on Geoinformatics, P1, DOI DOI 10.1109/GEOINFORMATICS.2010.5567553
   Xu ZW, 2019, INT J EPIDEMIOL, V48, P1091, DOI 10.1093/ije/dyz048
   Yang J, 2019, SCI TOTAL ENVIRON, V649, P695, DOI 10.1016/j.scitotenv.2018.08.332
   Yue W, 2007, INT J REMOTE SENS, V28, P3205, DOI 10.1080/01431160500306906
   Zhang W, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15112516
   Zhao J, 2021, FRONT ARCHIT RES, V10, P572, DOI 10.1016/j.foar.2021.006
   Zhu Z, 2014, REMOTE SENS ENVIRON, V152, P217, DOI 10.1016/j.rse.2014.06.012
   Zsebeházi G, 2020, IDOJARAS, V124, P191, DOI 10.28974/idojaras.2020.2.3
NR 102
TC 19
Z9 19
U1 7
U2 41
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD MAR
PY 2022
VL 42
AR 101127
DI 10.1016/j.uclim.2022.101127
EA FEB 2022
PG 17
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 0J2DH
UT WOS:000779915700003
OA hybrid
DA 2025-01-10
ER

PT J
AU Lerer, SM
   Righetti, F
   Rozario, T
   Mikkelsen, PS
AF Lerer, Sara Maria
   Righetti, Francesco
   Rozario, Thomas
   Mikkelsen, Peter Steen
TI Integrated Hydrological Model-Based Assessment of Stormwater Management
   Scenarios in Copenhagen's First Climate Resilient Neighbourhood Using
   the Three Point Approach
SO WATER
LA English
DT Article
DE climate adaptation; combined sewer; cloudburst; flooding; hydraulic
   modelling; Three Point Approach (3PA); urban drainage
ID URBAN; ADAPTATION
AB The city of Copenhagen currently pursues a very ambitious plan to make the city cloudburst proof' within the next 30 years. The cloudburst management plan has the potential to support the city's aim to become more green, liveable, and sustainable. In this study, we assessed stormwater system designs using the Three Point Approach (3PA) as a framework, where an indicator value for each domain was calculated using state-of-the-art modelling techniques. We demonstrated the methodology on scenarios representing sequential enhancements of the cloudburst management plan for a district that has been appointed to become the first climate resilient neighbourhood in Copenhagen. The results show that if the cloudburst system is exploited to discharge runoff from selected areas that are disconnected from the combined sewer system, then the plan leads to multiple benefits. These include improved flood protection under a 100-years storm (i.e., compliance with the new demands in domain C of the 3PA), reduced surcharge to terrain under a 10-years storm (i.e., compliance with the service goal in domain B of the 3PA) and an improved yearly water balance (i.e., better performance in domain A of the 3PA).
C1 [Lerer, Sara Maria; Righetti, Francesco; Rozario, Thomas; Mikkelsen, Peter Steen] Tech Univ Denmark, Dept Environm Engn DTU Environm, Bygningstorvet, Bldg 115, DK-2800 Kongens Lyngby, Denmark.
   [Righetti, Francesco] COWI AS, Karvesvingen 2, N-0579 Oslo, Norway.
   [Rozario, Thomas] COWI AS, Parallelvej 2, DK-2800 Kongens Lyngby, Denmark.
C3 Technical University of Denmark; COWI A/S; COWI A/S
RP Lerer, SM (corresponding author), Tech Univ Denmark, Dept Environm Engn DTU Environm, Bygningstorvet, Bldg 115, DK-2800 Kongens Lyngby, Denmark.
EM smrl@env.dtu.dk; frrg@cowi.com; troz@cowi.com; psmi@env.dtu.dk
RI Mikkelsen, Peter Steen/D-9691-2011
OI Mikkelsen, Peter Steen/0000-0003-3799-0493
CR [Anonymous], 2016, MIKE FLOOD 1D 2D MOD
   [Anonymous], 2016, MIK 1D DHI SIM ENG 1
   [Anonymous], 2016, MIKE URBAN COLL SYST
   [Anonymous], 2016, C40 CITIES AWARDS
   Arnbjerg-Nielsen K, 2015, CLIM RES, V64, P73, DOI 10.3354/cr01299
   Arnbjerg-Nielsen K, 2002, WATER SCI TECHNOL, V45, P69, DOI 10.2166/wst.2002.0029
   Billow I. G, 2014, SKRIFT 30 OPDATEREDE
   Brudler S, 2016, WATER RES, V106, P394, DOI 10.1016/j.watres.2016.10.024
   City of Copenhagen Climate Adaptation Plan, 2011, COP CLIM AD PLAN
   City of Copenhagen Climate Change Adaptation and Investment Statement, 2015, CLIM CHANG AD INV ST
   City of Copenhagen Cloudburst Management Plan, 2012, CLOUDB MAN PLAN
   City of Copenhagen Omradefornyelse i Sankt Kjelds, 2011, OMR SANK KJELDS KVAR
   City of Copenhagen Tasinge Plads, 2015, TAS PLADS
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Fratini CF, 2012, URBAN WATER J, V9, P317, DOI 10.1080/1573062X.2012.668913
   Gregersen I.B., 2014, Past, present, and future variations of extreme precipitation in Denmark: Technical report
   Jorgensen HK, 1998, WATER SCI TECHNOL, V37, P113, DOI 10.2166/wst.1998.0448
   Keifer C. J., 1957, Journal of the Hydraulics Division, V83, P1, DOI [DOI 10.1061/JYCEAJ.0000104, https://doi.org/10.1061/JYCEAJ.0000104]
   Madsen H, 2017, WATER SCI TECHNOL, V75, P1971, DOI 10.2166/wst.2017.089
   Sorup HJD, 2016, ENVIRON SCI POLICY, V63, P19, DOI 10.1016/j.envsci.2016.05.010
   Ziersen J, 2017, WATER PRACT TECHNOL, V12, P338, DOI 10.2166/wpt.2017.039
NR 21
TC 10
Z9 10
U1 4
U2 33
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD NOV
PY 2017
VL 9
IS 11
AR 883
DI 10.3390/w9110883
PG 12
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA FO4FY
UT WOS:000416798300069
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Wang, CH
   Baynes, T
   McFallan, S
   West, J
   Khoo, YB
   Wang, XM
   Quezada, G
   Mazouz, S
   Herr, A
   Beaty, RM
   Langston, A
   Li, Y
   Lau, KW
   Hatfield-Dodds, S
   Stafford-Smith, M
   Waring, A
AF Wang, Chi-Hsiang
   Baynes, Tim
   McFallan, Stephen
   West, Jim
   Khoo, Yong Bing
   Wang, Xiaoming
   Quezada, George
   Mazouz, Salim
   Herr, Alexander
   Beaty, R. Matthew
   Langston, Art
   Li, Yun
   Lau, Kwok Wai
   Hatfield-Dodds, Steve
   Stafford-Smith, Mark
   Waring, Adrian
TI Rising tides: adaptation policy alternatives for coastal residential
   buildings in Australia
SO STRUCTURE AND INFRASTRUCTURE ENGINEERING
LA English
DT Article
DE climate change; climate adaptation; storm surge; astronomical tide;
   vulnerability
ID SEA-LEVEL RISE; TROPICAL CYCLONE; DAMAGE; INUNDATION
AB In this work, a risk-based assessment method and benefit-cost analysis to support policy decisions for adapting Australian coastal residential buildings to future coastal inundation hazard is presented. Future coastal inundation is mainly influenced by storm surge and rising sea level. The sea level rises projected by the A1FI, A1B and B1 emissions scenarios developed by the Intergovernmental Panel on Climate Change are considered. The effects of economic and population growth are accounted for by three urban development scenarios: (a) business as usual, (b) urban consolidation and (c) regional development. The adaptation policy actions investigated include a 'protect' stance (involving the construction of seawalls), an 'accommodate' stance that mandates raising house floors to a certain height (e.g. at heights of 100-year events) and an 'avoid' stance that limits new developments in hazardous areas. Policy stances classified as reactive (i.e. action taken after damage being incurred) and anticipatory (i.e. action taken anticipating what will happen) are developed for asset investment choices. In general, adaptation costs are an order of magnitude lower than benefits gained from avoided damages. The results highlight that adaptation action for coastal inundation has a no-regrets character and provides a strong case for reform to ensure that Australia-wide adaptation opportunities are realised.
C1 [Wang, Chi-Hsiang; Khoo, Yong Bing; Wang, Xiaoming] CSIRO, Land & Water Flagship, POB 56,37 Graham Rd, Highett, Vic 3190, Australia.
   [Baynes, Tim] CSIRO, Land & Water Flagship, Sydney, NSW, Australia.
   [McFallan, Stephen; Quezada, George] CSIRO, Land & Water Flagship, Brisbane, Qld, Australia.
   [West, Jim; Herr, Alexander; Beaty, R. Matthew; Langston, Art; Hatfield-Dodds, Steve; Stafford-Smith, Mark] CSIRO, Land & Water Flagship, Canberra, ACT, Australia.
   [Mazouz, Salim] EcoPerspectives Pty Ltd, Canberra, ACT, Australia.
   [Li, Yun; Lau, Kwok Wai] CSIRO, Land & Water Flagship, Perth, WA, Australia.
   [Waring, Adrian] Australian Govt, Dept Environm, Canberra, ACT, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Wang, CH (corresponding author), CSIRO, Land & Water Flagship, POB 56,37 Graham Rd, Highett, Vic 3190, Australia.
EM chi-hsiang.wang@csiro.au
RI Li, Yun/ABZ-6481-2022; Khoo, Yong/I-1994-2012; Hatfield-Dodds,
   Steve/K-1067-2013; Smith, Mark/G-1680-2010; Quezada, George/I-1106-2012;
   Wang, Chi-Hsiang/A-1961-2008; Beaty, Robert/B-5504-2011; Lau,
   Kwok/E-4614-2010; Wang, Xiaoming/A-3804-2008; West, James/B-5487-2011;
   Baynes, Timothy/D-4738-2011; Herr, Alexander/G-5552-2010; Li,
   Yun/E-8569-2010
OI Wang, Chi-Hsiang/0000-0001-5486-7046; Wang,
   Xiaoming/0000-0002-6648-0057; West, James/0000-0002-1444-1080; Baynes,
   Timothy/0000-0001-8416-3365; Herr, Alexander/0000-0001-6081-3597; Li,
   Yun/0000-0001-9925-7372; Stafford Smith, Mark/0000-0002-1333-3651
FU Australian Federal Department of the Environment
FX This study is part of a research project supported by the Australian
   Federal Department of the Environment, for developing adaptation policy
   options for built assets subject to meteorological hazards under climate
   change. The authors are grateful of the editors and the anonymous
   reviewers for their constructive comments, which improve the quality of
   the paper.
CR Aerts JCJH, 2013, RISK ANAL, V33, P772, DOI 10.1111/risa.12008
   [Anonymous], 2008, Population projections, Australia
   [Anonymous], 2006, EC CLIMATE CHANGE ST, DOI DOI 10.1378/CHEST.128.5
   [Anonymous], 2004, Queensland climate change and community vulnerability to tropical cyclonesocean hazards assessment stage 3: The frequency of surge plus tide during tropical cyclones for selected open coast locations along the Queensland East Coast
   [Anonymous], 2009, CLIM CHANG RISKS AUS
   Australian Bureau of Statistics, 1999, AUSTR HOUS SURV S AU
   Australian Bureau of Statistics, 1999, AUSTR HOUS SURV QUEE
   Australian Bureau of Statistics, 1999, AUSTR HOUS SURV HOUS
   Baynes T. M., 2013, 20 INT C MOD SIM MOD
   Chen K, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026981
   Church JA, 2008, BRIEFING POSTIPCC AR
   Church JA, 2006, AUST METEOROL MAG, V55, P253
   CSIRO Marine and Atmospheric Research, 2012, SEA LEV RIS IPCC AR4
   CSIRO Marine and Atmospheric Research, 2012, SEA LEV RIS GLOB PRO
   Deans C., 2012, RESERVE BANK AUSTR B
   Department of Finance and Administration, 2006, HDB COST BEN AN FIN
   Department of Health, 2014, STAT LOC AR POP PROJ
   FRANK NL, 1971, B AM METEOROL SOC, V52, P438, DOI 10.1175/1520-0477(1971)052<0438:TDTCIH>2.0.CO;2
   Gallant J., 2011, P WAT INF RES DEV AL
   Garnaut R., 2008, GARNAUT CLIMATE CHAN
   Geoscience Australia, 2004, AUSTR SURF WAT MAN A
   Gold Coast City Council, 2014, THE A LIN SEAW
   Haigh ID, 2012, TECHNICAL REPORT EST
   Harper B.A., 1998, 10 QUEENSL GOV
   Harvey N, 2010, COASTAL MANAGEMENT IN AUSTRALIA, P1
   Hennessy K, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P507
   Intergovernmental Committee on Surveying and Mapping, 2012, GEOC DAT AUSTR TECHN
   IPCC, 2000, EM SCEN SUMM POL MAR
   Knabb RichardD., 2011, Tropical Cyclone Report: Hurricane Katrina (23-30 August 2005)
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   Kossin JP, 2014, NATURE, V509, P349, DOI 10.1038/nature13278
   Kreibich H, 2009, NAT HAZARD EARTH SYS, V9, P1679, DOI 10.5194/nhess-9-1679-2009
   McBride JL, 2010, 14 AUSTR WIND ENG SO, P87
   McInnes KL, 2013, INT J CLIMATOL, V33, P33, DOI 10.1002/joc.3405
   McMonagle CJ, 1979, STORM SURGE TIDE INV
   Middelmann-Fernandes MH, 2010, J FLOOD RISK MANAG, V3, P88, DOI 10.1111/j.1753-318X.2009.01058.x
   Nadimpalli L., 2009, 7 FIG REG C HAN VIET
   Pistrika AK, 2010, NAT HAZARDS, V54, P413, DOI 10.1007/s11069-009-9476-y
   Rawlinsons Group, 2013, RAWL AUSTR CONSTR HD
   Smith D. I., 1994, RESOURCE ENV STUDIES, V8
   Smith K, 2011, GARNAUT CLIMATE CHAN
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Wang X, 2014, CIV ENG ENVIRON SYST, V31, P125, DOI 10.1080/10286608.2014.912641
   Ward PJ, 2011, NAT HAZARDS, V56, P899, DOI 10.1007/s11069-010-9599-1
   Wehner M, 2012, FLOOD VULNERABILITY
NR 45
TC 8
Z9 9
U1 1
U2 21
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1573-2479
EI 1744-8980
J9 STRUCT INFRASTRUCT E
JI Struct. Infrastruct. Eng.
PY 2016
VL 12
IS 4
SI SI
BP 463
EP 476
DI 10.1080/15732479.2015.1020500
PG 14
WC Engineering, Civil; Engineering, Mechanical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA DO9ZN
UT WOS:000378147000004
DA 2025-01-10
ER

PT J
AU Little, CM
   Oppenheimer, M
   Urban, NM
AF Little, Christopher M.
   Oppenheimer, Michael
   Urban, Nathan M.
TI Upper bounds on twenty-first-century Antarctic ice loss assessed using a
   probabilistic framework
SO NATURE CLIMATE CHANGE
LA English
DT Article
ID PINE ISLAND GLACIER; SHEET
AB Climate adaptation and flood risk assessments(1,2) have incorporated sea-level rise (SLR) projections developed using semi-empirical methods(3-5) (SEMs) and expert-informed mass-balance scenarios(2,6). These techniques, which do not explicitly model ice dynamics, generate upper bounds on twenty-first century SLR that are up to three times higher than Intergovernmental Panel on Climate Change estimates(7). However, the physical basis underlying these projections, and their likelihood of occurrence, remain unclear(8-10). Here, we develop mass-balance projections for the Antarctic ice sheet within a Bayesian probabilistic framework(10), integrating numerical model output(11) and updating projections with an observational synthesis(12). Without abrupt, sustained, changes in ice discharge (collapse), we project a 95th percentile mass loss equivalent to similar to 13 cm SLR by 2100, lower than previous upper-bound projections. Substantially higher mass loss requires regional collapse, invoking dynamics that are likely to be inconsistent with the underlying assumptions of SEMs. In this probabilistic framework, the pronounced sensitivity of upper-bound SLR projections to the poorly known likelihood of collapse is lessened with constraints on the persistence and magnitude of subsequent discharge. More realistic, fully probabilistic, estimates of the ice-sheet contribution to SLR may thus be obtained by assimilating additional observations and numerical models(11,13).
C1 [Little, Christopher M.; Oppenheimer, Michael; Urban, Nathan M.] Princeton Univ, Woodrow Wilson Sch Publ & Int Affairs, Princeton, NJ 08544 USA.
   [Oppenheimer, Michael] Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA.
   [Urban, Nathan M.] Los Alamos Natl Lab, Computat Phys & Methods CCS 2, Los Alamos, NM 87544 USA.
C3 Princeton University; Princeton University; United States Department of
   Energy (DOE); Los Alamos National Laboratory
RP Little, CM (corresponding author), Princeton Univ, Woodrow Wilson Sch Publ & Int Affairs, Princeton, NJ 08544 USA.
EM cmlittle@princeton.edu
RI Urban, Nathan/C-1455-2008; Oppenheimer, Michael/ACV-2153-2022
OI Urban, Nathan/0000-0002-2264-3512; Oppenheimer,
   Michael/0000-0002-9708-5914
FU Science, Technology and Environmental Policy programme in the Woodrow
   Wilson School of Public and International Affairs at Princeton
   University; Carbon Mitigation Initiative in the Princeton Environmental
   Institute
FX C.M.L. is grateful for financial support from the Science, Technology
   and Environmental Policy programme in the Woodrow Wilson School of
   Public and International Affairs at Princeton University and the Carbon
   Mitigation Initiative in the Princeton Environmental Institute. The
   authors thank K. Keller, O. Sergienko and Y.Liu for many helpful
   suggestions. We also thank A. Shepherd and the Ice Sheet Mass Balance
   Exercise team for promptly providing data.
CR [Anonymous], 2010, Nat Clim Change, DOI DOI 10.1038/CLIMATE.2010.30
   [Anonymous], SURV GEOPHYS
   [Anonymous], J CLIM
   [Anonymous], 2012, NOAA TECH MEMO OAR C
   Bamber J.L., 2013, Nature Clim. Change
   Bamber JL, 2009, SCIENCE, V324, P901, DOI 10.1126/science.1169335
   Gladstone RM, 2012, EARTH PLANET SC LETT, V333, P191, DOI 10.1016/j.epsl.2012.04.022
   Goldberg D.N., 2012, J GEOPHYS RES, V117, P2156
   Grinsted A, 2010, CLIM DYNAM, V34, P461, DOI 10.1007/s00382-008-0507-2
   Jenkins A, 2010, NAT GEOSCI, V3, P468, DOI 10.1038/NGEO890
   Jevrejeva S, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD017704
   Jevrejeva S, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL042947
   Joughin I, 2011, NAT GEOSCI, V4, P506, DOI [10.1038/NGEO1194, 10.1038/ngeo1194]
   Joughin I, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044819
   Katsman CA, 2011, CLIMATIC CHANGE, V109, P617, DOI 10.1007/s10584-011-0037-5
   Little CM, 2013, P NATL ACAD SCI USA, V110, P3264, DOI 10.1073/pnas.1214457110
   McKay NP, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL048280
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Milne G.A., NATURE GEOSCI, V2, P471
   Oppenheimer M, 2007, SCIENCE, V317, P1505, DOI 10.1126/science.1144831
   Pfeffer WT, 2008, SCIENCE, V321, P1340, DOI 10.1126/science.1159099
   Pritchard HD, 2012, NATURE, V484, P502, DOI 10.1038/nature10968
   Rignot E, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL033365
   Rignot E, 2008, NAT GEOSCI, V1, P106, DOI 10.1038/ngeo102
   Shepherd A, 2012, SCIENCE, V338, P1183, DOI 10.1126/science.1228102
   Shuman CA, 2011, J GLACIOL, V57, P737, DOI 10.3189/002214311797409811
   Thomas R, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL047304
   Thompson WG, 2011, NAT GEOSCI, V4, P684, DOI [10.1038/ngeo1253, 10.1038/NGEO1253]
   van de Berg WJ, 2011, NAT GEOSCI, V4, P679, DOI [10.1038/ngeo1245, 10.1038/NGEO1245]
   Vermeer M, 2009, P NATL ACAD SCI USA, V106, P21527, DOI 10.1073/pnas.0907765106
   Willis JK, 2012, SCIENCE, V336, P550, DOI 10.1126/science.1220366
   Winkelmann R., 2012, The Cryosphere Discuss, V6, P673, DOI DOI 10.5194/TCD-6-673-2012
NR 32
TC 36
Z9 39
U1 0
U2 25
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 1758-678X
EI 1758-6798
J9 NAT CLIM CHANGE
JI Nat. Clim. Chang.
PD JUL
PY 2013
VL 3
IS 7
BP 654
EP 659
DI 10.1038/NCLIMATE1845
PG 6
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 219DR
UT WOS:000324486300021
DA 2025-01-10
ER

PT J
AU Merz, B
   Blöschl, G
   Jüpner, R
   Kreibich, H
   Schröter, K
   Vorogushyn, S
AF Merz, Bruno
   Bloeschl, Guenter
   Juepner, Robert
   Kreibich, Heidi
   Schroeter, Kai
   Vorogushyn, Sergiy
TI Invited perspectives: safeguarding the usability and credibility of
   flood hazard and risk assessments
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID SENSITIVITY-ANALYSIS; PREDICTIVE MODELS; VALIDATION; UNCERTAINTY;
   VERIFICATION; PART
AB Flood hazard and risk assessments (FHRAs) and their underlying models form the basis of decisions regarding flood mitigation and climate adaptation measures and are thus imperative for safeguarding communities against the devastating consequences of flood events. In this perspective paper, we discuss how FHRAs should be validated to be fit for purpose in order to optimally support decision-making. We argue that current validation approaches focus on technical issues, with insufficient consideration of the context in which decisions are made. To address this issue, we propose a novel validation framework for FHRAs, structured in a three-level hierarchy: process based, outcome based, and impact based. Our framework adds crucial dimensions to current validation approaches, such as the need to understand the possible impacts on society when the assessment has large errors. It further emphasizes the essential role of stakeholder participation, objectivity, and verifiability in assessing flood hazard and risk. Using the example of flood emergency management, we discuss how the proposed framework can be implemented. Although we have developed the framework for flooding, our ideas are also applicable to assessing risk caused by other types of natural hazards.
C1 [Merz, Bruno; Kreibich, Heidi; Vorogushyn, Sergiy] GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, Sect Hydrol, D-14473 Potsdam, Germany.
   [Merz, Bruno] Univ Potsdam, Inst Environm Sci & Geog, D-14476 Potsdam, Germany.
   [Bloeschl, Guenter] Vienna Univ Technol, Inst Hydraul Engn & Water Resources Management, Karlspl 13-222, A-1040 Vienna, Austria.
   [Juepner, Robert] Rheinland Pfalz Tech Univ, Hydraul Engn & Water Management, D-67663 Kaiserslautern, Germany.
   [Schroeter, Kai] Tech Univ Carolo Wilhelmina Braunschweig, Hydrol & River Basin Management, D-38106 Braunschweig, Germany.
C3 Helmholtz Association; Helmholtz-Center Potsdam GFZ German Research
   Center for Geosciences; University of Potsdam; Technische Universitat
   Wien; Braunschweig University of Technology
RP Merz, B (corresponding author), GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, Sect Hydrol, D-14473 Potsdam, Germany.; Merz, B (corresponding author), Univ Potsdam, Inst Environm Sci & Geog, D-14476 Potsdam, Germany.
EM bmerz@gfz-potsdam.de
RI Kreibich, Heidi/HNR-9624-2023; Vorogushyn, Sergiy/B-9743-2014; Kreibich,
   Heidi/G-9408-2012
OI Kreibich, Heidi/0000-0001-6274-3625; Merz, Bruno/0000-0002-5992-1440
FU Bundesministerium fr Bildung und Forschung
FX The authors thank Guan Xiaoxiang for drawing Fig. .
CR Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   [Anonymous], 2017, Introduction to the IRGC Risk Governance Framework, revised version
   Aumann CA, 2007, ECOL MODEL, V202, P385, DOI 10.1016/j.ecolmodel.2006.11.005
   Bahler F., 2001, Wasser Energie LuftEau Energie Air, V93, P193
   Barendrecht Marlies H., 2017, Water Security, V1, P3, DOI 10.1016/j.wasec.2017.02.001
   Bates PD, 2023, NAT HAZARD EARTH SYS, V23, P891, DOI 10.5194/nhess-23-891-2023
   Bates PD, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR028673
   Beguería S, 2006, NAT HAZARDS, V37, P315, DOI 10.1007/s11069-005-5182-6
   Ben-Haim Y., 1996, Robust Reliability in the Mechanical Sciences, DOI DOI 10.1007/978-3-642-61154-4
   Bermúdez M, 2018, NAT HAZARDS, V92, P1633, DOI 10.1007/s11069-018-3270-7
   Beven K, 2014, APPLIED UNCERTAINTY ANALYSIS FOR FLOOD RISK MANAGEMENT, P1, DOI 10.1142/p588
   Beven KJ, 2018, NAT HAZARD EARTH SYS, V18, P2769, DOI 10.5194/nhess-18-2769-2018
   Biondi D, 2012, PHYS CHEM EARTH, V42-44, P70, DOI 10.1016/j.pce.2011.07.037
   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]
   Bubeck P, 2012, NAT HAZARD EARTH SYS, V12, P3507, DOI 10.5194/nhess-12-3507-2012
   Carr G, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011662
   Chamberlin T. C., 1980, Science (old series), V15, P92
   COLLIER ZA, 2019, ENVIRON SYST DECIS, V39, P146, DOI DOI 10.1007/s10669-019-09723-5
   Dagher J., 2016, WIT Trans. Built Env., V165, P283, DOI [10.2495/UW160251, DOI 10.2495/UW160251]
   de Moel H, 2015, MITIG ADAPT STRAT GL, V20, P865, DOI 10.1007/s11027-015-9654-z
   Déroche MS, 2023, NAT HAZARD EARTH SYS, V23, P251, DOI 10.5194/nhess-23-251-2023
   Dietz T, 2013, P NATL ACAD SCI USA, V110, P14081, DOI 10.1073/pnas.1212740110
   Downton M. W., 2005, Environmental Hazards, V6, P134, DOI 10.1016/j.hazards.2006.05.003
   Doyle EEH, 2019, INT J DISAST RISK RE, V33, P449, DOI 10.1016/j.ijdrr.2018.10.023
   EA: National Flood Risk Assessment (NaFRA), 2002, A report prepared by HR Wallingford for the Environment Agency
   Eker S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07811-9
   Elele J., 2009, SPIE, V7348, P89
   Ewing RC, 1999, RISK ANAL, V19, P933, DOI 10.1111/j.1539-6924.1999.tb00452.x
   Farrag M, 2022, HYDROLOG SCI J, V67, P508, DOI 10.1080/02626667.2022.2030058
   Faulkner H, 2007, AMBIO, V36, P692, DOI 10.1579/0044-7447(2007)36[692:DATDTC]2.0.CO;2
   Ferguson S., 2023, Urban Flood Risk Handbook: Assessing Risk and Identifying Interventions
   Fischhoff B, 2015, SCIENCE, V350, DOI 10.1126/science.aaa6516
   Franco G., 2020, WATER SECURITY, V11, P2468, DOI 10.1016/j.wasec.2020.100069
   Goerlandt F, 2017, SAFETY SCI, V99, P127, DOI 10.1016/j.ssci.2016.08.023
   Hall CA, 2022, HYDROL EARTH SYST SC, V26, P647, DOI 10.5194/hess-26-647-2022
   Hall J, 2002, HYDROL PROCESS, V16, P1867, DOI 10.1002/hyp.5026
   Harper A, 2021, EUR J OPER RES, V289, P197, DOI 10.1016/j.ejor.2020.06.043
   Hölzel H, 2011, PHYS CHEM EARTH, V36, P113, DOI 10.1016/j.pce.2010.04.017
   Hollander H. M., Hydrol. Earth Syst. Sci.
   Holmes KJ, 2009, RISK ANAL, V29, P159, DOI 10.1111/j.1539-6924.2008.01186.x
   Howard RA, 2007, ADVANCES IN DECISION ANALYSIS: FROM FOUNDATIONS TO APPLICATIONS, P32, DOI 10.1017/CBO9780511611308.004
   Hu LX, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12580
   International Organization for Standardization, 2024, What is the ISO 9000 family of standards on quality management?
   Jiang WW, 2022, NAT HAZARDS, V112, P301, DOI 10.1007/s11069-021-05182-x
   Kahneman D, 2013, THINKING FAST SLOW
   Kaizer JS, 2015, RELIAB ENG SYST SAFE, V138, P210, DOI 10.1016/j.ress.2015.01.020
   Kaplan S., RISK ANAL, V1, P11
   KLEMES V, 1986, HYDROLOG SCI J, V31, P13, DOI 10.1080/02626668609491024
   Kreibich H, 2017, EARTHS FUTURE, V5, P953, DOI 10.1002/2017EF000606
   Lamb R, 2017, NAT HAZARD EARTH SYS, V17, P1393, DOI 10.5194/nhess-17-1393-2017
   Lathrop J, 2016, RISK ANAL, V36, P653, DOI 10.1111/risa.12442
   LHW, Deichbruch Fischbeck, Dokumentation der Ereignisse
   Loucks DP, 2003, RISK-BASED DECISIONMAKING IN WATER RESOURCES X, P40
   Matgen P, 2011, PHYS CHEM EARTH, V36, P241, DOI 10.1016/j.pce.2010.12.009
   Merz B, 2015, WATER RESOUR RES, V51, P6399, DOI 10.1002/2015WR017464
   Merz B., 2017, Oxford Research Encyclopedia of Natural Hazard Science, DOI [10.1093/acrefore/9780199389407.001.0001/acrefore-9780199389407-e-113, DOI 10.1093/ACREFORE/9780199389407.001.0001/ACREFORE-9780199389407-E-113]
   Merz B, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR030506
   Merz B, 2021, NAT REV EARTH ENV, V2, P592, DOI 10.1038/s43017-021-00195-3
   Merz B, 2009, NAT HAZARDS, V51, P437, DOI 10.1007/s11069-009-9452-6
   Mohanty S, 2002, RISK ANAL, V22, P7, DOI 10.1111/0272-4332.t01-1-00005
   Molinari D, 2019, INT J DISAST RISK RE, V33, P441, DOI 10.1016/j.ijdrr.2018.10.022
   NRC, 2007, NUREG0800 NRC
   ORESKES N, 1994, SCIENCE, V263, P641, DOI 10.1126/science.263.5147.641
   Page T, 2023, HYDROL EARTH SYST SC, V27, P2523, DOI 10.5194/hess-27-2523-2023
   Palmer TN, 2000, REP PROG PHYS, V63, P71, DOI 10.1088/0034-4885/63/2/201
   Patt A, 2009, NATO SCI PEACE SECUR, P231, DOI 10.1007/978-90-481-2636-1_10
   Patterson EA, 2017, PROG BIOPHYS MOL BIO, V129, P13, DOI 10.1016/j.pbiomolbio.2016.08.007
   Penning-Rowsell EC, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12685
   Penning-Rowsell EC, 2015, T I BRIT GEOGR, V40, P44, DOI 10.1111/tran.12053
   Pianosi F, 2016, ENVIRON MODELL SOFTW, V79, P214, DOI 10.1016/j.envsoft.2016.02.008
   Rözer V, 2019, EARTHS FUTURE, V7, P384, DOI 10.1029/2018EF001074
   Sadeghi R, 2021, SAFETY, V7, DOI 10.3390/safety7040072
   Sairam N, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002259
   Saltelli A, 2014, ISSUES SCI TECHNOL, V30, P79
   Sargent RG, 2010, WINT SIMUL C PROC, P166, DOI 10.1109/WSC.2010.5679166
   Savage JTS, 2016, WATER RESOUR RES, V52, P9146, DOI 10.1002/2015WR018198
   Sayers P, 2016, E3S WEB CONF, V7, DOI 10.1051/e3sconf/20160711004
   Schröter K, 2014, WATER RESOUR RES, V50, P3378, DOI 10.1002/2013WR014396
   Sieg T, 2023, J FLOOD RISK MANAG, V16, DOI 10.1111/jfr3.12889
   Tate E, 2015, NAT HAZARDS REV, V16, DOI 10.1061/(ASCE)NH.1527-6996.0000167
   Thieken AH, 2005, WATER RESOUR RES, V41, DOI 10.1029/2005WR004177
   Thoft-Cristensen P., 1982, Structural reliability theory and its applications, V1st, DOI [DOI 10.1007/978-3-642-68697-9, 10.1590/1982-0224-20140045, DOI 10.1590/1982-0224-20140045]
   Trigg MA, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094014
   Tung Y.-K., 2011, Journal of Contemporary Water Research and Education, V103, P4
   Viceconti M, 2011, PHILOS T R SOC A, V369, P4149, DOI 10.1098/rsta.2011.0227
   Vorogushyn S, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1266
   Wagenaar D, 2018, WATER RESOUR RES, V54, P3688, DOI 10.1029/2017WR022233
   Wagener T, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.772
   Weick KE, 1999, RES ORGAN BEHAV, V21, P81
   Wing OEJ, 2022, NAT CLIM CHANGE, V12, P156, DOI 10.1038/s41558-021-01265-6
   Xing Y, 2021, SCI TOTAL ENVIRON, V772, DOI 10.1016/j.scitotenv.2021.145327
   Zscheischler J, 2020, NAT REV EARTH ENV, V1, P333, DOI 10.1038/s43017-020-0060-z
NR 92
TC 0
Z9 0
U1 2
U2 2
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 26
PY 2024
VL 24
IS 11
BP 4015
EP 4030
DI 10.5194/nhess-24-4015-2024
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 N2O8J
UT WOS:001362801100001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Wardhani, B
   Dugis, V
   Yunus, M
   Wu, DY
AF Wardhani, Baiq
   Dugis, Vinsensio
   Yunus, Moch.
   Wu, D. Y.
TI The indigenous Pacific Islands' resilience against climate injustice
SO CULTURE AND RELIGION
LA English
DT Article
DE Climate injustice; indigenous people; Pacific Small Islands Developing
   States; post-secularism; spiritual approach
AB Small island developing states (SIDS), particularly the low-lying islands situated in Oceania within the South Pacific region, are subject to climate injustice; wherein the issue of climate change is intricately linked to their very survival. While mitigation strategies are enacted through the facilitation of knowledge generation and international collaboration, adaptive measures are implemented via a religious and spiritual framework. This distinctive approach represents a defining feature of the indigenous inhabitants within the Pacific SIDS community, serving as a socio-cultural determinant that influences specific outlooks held by Pacific denizens concerning climate variability. This paper aims to explore the rationale behind the inclination of traditional Pacific societies towards embracing a spiritual stance in addressing climate adaptation. It is contended that in confronting climate injustices, the indigenous populations of the Pacific region tend to draw more heavily upon traditional practices and the incorporation of local knowledge alongside conventional approaches, such as scientific, technological, and diplomatic measures. The phenomenon of climate change in the Pacific SIDS is emblematic of susceptibility, calamity, and discourses revolving around trepidation and ambiguity (aporia), necessitating strategies that extend beyond those rooted in secular-Western ideologies.
C1 [Wardhani, Baiq; Dugis, Vinsensio; Yunus, Moch.] Univ Airlangga, Int Relat, Surabaya, Indonesia.
   [Wu, D. Y.] Carleton Univ, Polit Sci, Ottawa, ON, Canada.
C3 Airlangga University; Carleton University
RP Wardhani, B (corresponding author), Univ Airlangga, Int Relat, Surabaya, Indonesia.
EM baiq.wardhani@fisip.unair.ac.id
RI Wardhani, Baiq/X-4747-2019; Dugis, Vinsensio/T-7829-2017
CR [Anonymous], 2023, GUARDIAN        0330
   Antadze N, 2020, ENVIRON JUSTICE, V13, P21, DOI 10.1089/env.2019.0038
   Barnett J, 2010, EARTHSCAN CLIM, P1
   Bavana B., 2022, CLIMATE CHANGE IS NO
   Bertana A, 2020, ANTHROPOL FORUM, V30, P254, DOI 10.1080/00664677.2020.1812050
   Cardinal Linda., 2001, Canadian Journal of Native Education, V25, P180
   Centre for Global Development, 2023, DEV COUNTRIES ARE RE
   Ciplet D, 2014, GLOBAL ENVIRON POLIT, V14, P75, DOI 10.1162/GLEP_a_00258
   Clarck R., 2022, PRESIDENT PANUELO AP
   Council on Foreign Relations, 2019, SUNK COAST FALLACY I
   Craymer L., 2022, SAMOAS PRIME MINISTE
   Crockett C, 2018, AM BOOK REV, V39, P6, DOI 10.1353/abr.2018.0062
   Fache E, 2020, ANTHROPOL FORUM, V30, P233, DOI 10.1080/00664677.2020.1811953
   Fair H, 2018, GEO-GEOGR ENVIRON, V5, DOI 10.1002/geo2.68
   Fletcher Stephanie M, 2013, J Environ Public Health, V2013, P264503, DOI 10.1155/2013/264503
   Fokas E, 2010, CULT RELIG, V11, P163
   Fouad M., 2021, UNLOCKING ACCESS CLI
   Gordon G., 2023, GUAM US MILITARY PRE
   Green D, 2010, CLIMATIC CHANGE, V100, P239, DOI 10.1007/s10584-010-9804-y
   Greenpeace International, 2021, DIPLOMATIC BULLY AUS
   Habermas Jurgen., 2008, New Perspectives Quarterly, V25, P17, DOI [10.1111/j.1540-5842.2008.01017.x, DOI 10.1111/J.1540-5842.2008.01017.X]
   Harding B. C., 2022, PACIFIC ISLANDS FORU
   Harris P., 2022, PLOS CLIMATE, V1, pe0000019, DOI https://doi.org/10.1371/journal.pclm.0000019
   Havea P. H., 2019, PACIFIC DYNAMICS, V3, P33
   Hermann E., 2018, SOCIAL CAPITAL FACE, DOI [https://doi.org/10.3249/2363-894X-gisca-18, DOI 10.3249/2363-894X-GISCA-18]
   Hermann E., 2017, ENV TRANSFORMATIONS, P49, DOI [https://doi.org/10.1057/978-1-137-53349-43, DOI 10.1057/978-1-137-53349-4_3]
   Hermann E., 2019, DEALING CLIMATE CHAN, P293, DOI [https://doi.org/10.17875/gup2019-1221, DOI 10.17875/GUP2019-1221]
   Hermann E, 2020, ANTHROPOL FORUM, V30, P274, DOI 10.1080/00664677.2020.1812051
   Heyward C., 2014, NEW WAVES GLOBAL JUS, P149, DOI [DOI 10.1057/9781137286406_8, 10.1057/9781137286406_8]
   Holden W.N., 2018, AUSTRIAN J S-EAST AS, V11, P117, DOI DOI 10.14764/10.ASEAS-2018.1-7
   Jenkins W, 2018, ANNU REV ENV RESOUR, V43, P85, DOI 10.1146/annurev-environ-102017-025855
   Joseph Rowntree Foundation, 2014, CLIMATE CHANGE SOCIA
   Kampfner J., 2021, CLIMATE POLITICS WHY
   Kemish I., 2023, ONE REGION 2 NARRATI
   Kempf W, 2012, CLIMATE CHANGE AND HUMAN MOBILITY: GLOBAL CHALLENGES TO THE SOCIAL SCIENCES, P235
   Keohane RO, 2019, FUDAN J HUM SOC SCI, V12, P293, DOI 10.1007/s40647-018-0241-z
   Kidwell J, 2020, INT AFF, V96, P343, DOI 10.1093/ia/iiz255
   Komai M., 2021, PACIFIC NEWS SERVICE
   Liu Z., 2022, WHAT CHINA SOLOMON I
   Masood E, 2022, NATURE, V612, P16, DOI 10.1038/d41586-022-03807-0
   McGregor D, 2020, CURR OPIN ENV SUST, V43, P35, DOI 10.1016/j.cosust.2020.01.007
   Mcleod E, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00289
   Mott G, 2021, CARBON EMISSIONS ANY
   Murphy TW, 2021, ENERGY RES SOC SCI, V81, DOI 10.1016/j.erss.2021.102239
   Needham K., 2022, AUSTR COMMITS PACIFI
   Newman B., 2019, SUNK COAST FALLACY I
   Norgaard Kari Marie, 2011, Living in Denial: Climate Change, Emotions, and Everyday Life, DOI [DOI 10.7551/MITPRESS/9780262015448.001.0001, 10.7551/mitpress/9780262015448.001.0001]
   Nunn P. J., 2023, HARNESSING TRADITION
   Nunn PD, 2016, CLIMATIC CHANGE, V136, P477, DOI 10.1007/s10584-016-1646-9
   Nunn PD, 2009, CLIM RES, V40, P211, DOI 10.3354/cr00806
   Pacific Island Forum, 2022, REPORT COMM 51 PAC I
   Parks BC, 2006, SOC NATUR RESOUR, V19, P337, DOI 10.1080/08941920500519255
   Parsons C., 2022, PACIFIC ISLANDS FRON
   Perry N., 2023, US SIGNS NEW SECURIT
   Polychroniou C., 2021, CLIMATE DIPLOMACY FA
   Rarai A, 2022, ENVIRON PLAN E-NAT, V5, P2240, DOI 10.1177/25148486211047739
   Reuters, 2022, FIJI PM CALLS M NEW
   Rubow C, 2016, WORLDVIEWS, V20, P150, DOI 10.1163/15685357-02002003
   Schmid L., 2022, IS CLIMATE DIPLOMACY
   Schuman M., 2023, CHINA COULD SOON BE
   Stern N., 2007, The Economics of Climate Change: The Stern Review, DOI DOI 10.1017/CBO9780511817434
   Szadziewski H., 2022, CHINAS PRESENCE HAS
   The White House, 2022, STATEMENT AUSTR JAPA
   Tremlett PF, 2012, CULT RELIG, V13, P491, DOI 10.1080/14755610.2012.706469
   UN Women, 2022, INDIGENOUS WOMEN CLI
   United Nations Permanent Forum on Indigenous Issues, 2015, INDIGENOUS PEOPLES P
   von Geyer F., 2023, CLIMATE DIPLOMACY IS
   Westerman A., 2019, CLIMATE CHANGE IS FA
   Whyte K, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.603
   Wilkens J, 2022, INT AFF, V98, P125, DOI 10.1093/ia/iiab209
   Wilson Centre and adelphi research gGmbH, 2020, 21 CENTURY DIPLOMACY
NR 71
TC 0
Z9 0
U1 2
U2 2
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1475-5610
EI 1475-5629
J9 CULT RELIG-ABINGDON
JI Cult. Relig.
PD JAN 2
PY 2024
VL 24
IS 1
BP 1
EP 18
DI 10.1080/14755610.2024.2373104
EA JUL 2024
PG 18
WC Religion
WE Emerging Sources Citation Index (ESCI)
SC Religion
GA O3L4F
UT WOS:001294273800001
DA 2025-01-10
ER

PT J
AU Park, J
   Chae, Y
AF Park, Jongchul
   Chae, Yeora
TI Analysis of time-dependent effects of ambient temperatures on health by
   vulnerable groups in Korea in 1999-2018
SO SCIENTIFIC REPORTS
LA English
DT Article
ID HEAT-WAVE; MORTALITY; CLIMATE; SUMMER; IMPACT; DEFINITION; CITIES; COLD
AB This study compared the relative risks of heat days on mortalities by vulnerable groups (elderly, single-person households, less-educated) in the past decade (1999-2008) and the recent decade (2009-2018) in four cities, Seoul, Incheon, Daegu, and Gwangju, in Korea. It has been known that the health impacts of heatwaves have gradually decreased over time due to socio-economic development, climate adaptation, and acclimatization. Contrary to general perception, we found that the recent relative risk of mortality caused by heat days has increased among vulnerable groups. It may associate with recent increasing trends of severe heat days due to climate change. The increasing relative risk was more significant in single-person households and less-educated groups than in the elderly. It implies that the impacts of climate change-induced severe heat days have been and will be concentrated on vulnerable groups. It suggests that social polarization and social isolation should be addressed to reduce heatwave impacts. Furthermore, this study shows the necessity of customized heatwave policies, which consider the characteristics of vulnerable groups.
C1 [Park, Jongchul] Kongju Natl Univ, 56 Gongjudaehak Ro, Gongju 32588, South Korea.
   [Chae, Yeora] Korea Environm Inst, 370 Sicheong Daero, Sejong 30147, South Korea.
C3 Kongju National University; Korea Environment Institute (KEI)
RP Chae, Y (corresponding author), Korea Environm Inst, 370 Sicheong Daero, Sejong 30147, South Korea.
EM yrchae@kei.re.kr
FU Korea Meteorological Administration Research and Development Program
   [KMI (KMI2021-00411)]
FX This work was funded by the Korea Meteorological Administration Research
   and Development Program under Grant KMI (KMI2021-00411).
CR Anderson BG, 2009, EPIDEMIOLOGY, V20, P205, DOI 10.1097/EDE.0b013e318190ee08
   Anderson GB, 2018, CLIMATIC CHANGE, V146, P455, DOI 10.1007/s10584-016-1779-x
   Ballester J, 2011, NAT COMMUN, V2, DOI 10.1038/ncomms1360
   Gómez-Martín MB, 2014, INT J BIOMETEOROL, V58, P781, DOI 10.1007/s00484-013-0659-6
   Bobb JF, 2014, ENVIRON HEALTH PERSP, V122, P811, DOI 10.1289/ehp.1307392
   Casanueva A, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16152657
   Chae Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18052380
   Chung JY, 2009, SCI TOTAL ENVIRON, V408, P390, DOI 10.1016/j.scitotenv.2009.09.009
   Chung Y, 2018, ENVIRON HEALTH PERSP, V126, DOI 10.1289/EHP2546
   Ebi KL, 2004, B AM METEOROL SOC, V85, P1067, DOI 10.1175/BAMS-85-8-1067
   Fouillet A, 2008, INT J EPIDEMIOL, V37, P309, DOI 10.1093/ije/dym253
   Gao JH, 2015, SCI TOTAL ENVIRON, V505, P535, DOI 10.1016/j.scitotenv.2014.10.028
   Gasparrini A, 2015, LANCET, V386, P369, DOI 10.1016/S0140-6736(14)62114-0
   Gasparrini A, 2017, LANCET PLANET HEALTH, V1, pE360, DOI 10.1016/S2542-5196(17)30156-0
   Gasparrini A, 2015, ENVIRON HEALTH PERSP, V123, P1200, DOI 10.1289/ehp.1409070
   Gasparrini A, 2011, J STAT SOFTW, V43, P1, DOI 10.18637/jss.v043.i08
   Gasparrini. dlnm, 2021, US
   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]
   Ha J, 2013, INT J BIOMETEOROL, V57, P535, DOI 10.1007/s00484-012-0580-4
   Heo S, 2016, BMJ OPEN, V6, DOI 10.1136/bmjopen-2016-011786
   Khare S, 2015, BMC PUBLIC HEALTH, V15, DOI 10.1186/s12889-015-2181-8
   Kim J, 2017, CLIMATE, V5, DOI 10.3390/cli5040094
   Kindicator, 2021, LIF EXP
   KMA, 2021, OP MET DAT PORT
   Korea Power Exchange, 2021, 2019 HOM APPL DISTR
   Korean Statistical Information Service, 2022, Preliminary Results of Birth and Death Statistics
   KOSIS, STAT SINGL PERS HOUS
   KOSIS, 2021, NUMB DOCT PER POP
   Kwon BY, 2015, INT J ENV RES PUB HE, V12, P14571, DOI 10.3390/ijerph121114571
   Laaidi A., 2013, FRENCH HEAT HLTH WAT
   Lee W, 2018, SCI TOTAL ENVIRON, V616, P703, DOI 10.1016/j.scitotenv.2017.10.258
   Lowe R, 2015, INT J ENV RES PUB HE, V12, P1279, DOI 10.3390/ijerph120201279
   Messeri A, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16071090
   Nitschke M, 2016, BMJ OPEN, V6, DOI 10.1136/bmjopen-2016-012125
   NWS, 2020, HEAT HLTH REL AL SYS
   OECD, 2021, OECD HLTH STAT
   OECD, 2022, Education at a Glance 2022: OECD Indicators, DOI [10.1787/3197152b-en, DOI 10.1787/3197152B-EN]
   Ortiz-Ospina E., 2019, RISE LIVING ALONE ON
   Ostro B, 2010, AM J EPIDEMIOL, V172, P1053, DOI 10.1093/aje/kwq231
   Park Jongchul, 2020, [Journal of the Korean Geographical Society, 대한지리학회지], V55, P391, DOI 10.22776/kgs.2020.55.4.391
   Park J, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16091561
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Semenza JC, 1996, NEW ENGL J MED, V335, P84, DOI 10.1056/NEJM199607113350203
   Shin J, 2018, ASIA-PAC J ATMOS SCI, V54, P53, DOI 10.1007/s13143-017-0059-7
   Takahashi N, 2015, INT J ENV RES PUB HE, V12, P3188, DOI 10.3390/ijerph120303188
   Thomas Mike, 2015, An Oral History: Heat Wave
   Viguié V, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6a24
   Weyrich P, 2018, WEATHER CLIM SOC, V10, P781, DOI 10.1175/WCAS-D-18-0038.1
   Yang J, 2019, SCI TOTAL ENVIRON, V649, P695, DOI 10.1016/j.scitotenv.2018.08.332
   Yardley J, 2011, GLOBAL ENVIRON CHANG, V21, P670, DOI 10.1016/j.gloenvcha.2010.11.010
NR 50
TC 5
Z9 5
U1 6
U2 12
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JAN 17
PY 2023
VL 13
IS 1
AR 922
DI 10.1038/s41598-023-28018-z
PG 9
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA I3CL1
UT WOS:001001592100032
PM 36650176
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Jebari, J
   Táíwò, OO
   Andrews, TM
   Aquila, V
   Beckage, B
   Belaia, M
   Clifford, M
   Fuhrman, J
   Keller, DP
   Mach, KJ
   Morrow, DR
   Raimi, KT
   Visioni, D
   Nicholson, S
   Trisos, CH
AF Jebari, Joseph
   Taiwo, Olufemi O.
   Andrews, Talbot M.
   Aquila, Valentina
   Beckage, Brian
   Belaia, Mariia
   Clifford, Maggie
   Fuhrman, Jay
   Keller, David P.
   Mach, Katharine J.
   Morrow, David R.
   Raimi, Kaitlin T.
   Visioni, Daniele
   Nicholson, Simon
   Trisos, Christopher H.
TI From moral hazard to risk-response feedback
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Moral hazard; Climate policy; Climate behavior change
ID CLIMATE; ECONOMICS
AB The Intergovernmental Panel on Climate Change assessments (IPCC) Special Report on 1.5 degrees C of global warming is clear. Nearly all pathways that hold global warming well below 2 degrees C involve carbon removal (IPCC, 2015). In addition, solar geoengineering is being considered as a potential tool to offset warming, especially to limit temperature until negative emissions technologies are sufficiently matured (MacMartin et al., 2018). Despite this, there has been a reluctance to embrace carbon removal and solar geoengineering, partly due to the perception that these technologies represent what is widely termed a "moral hazard": that geoengineering will prevent people from developing the will to change their personal consumption and push for changes in infrastructure (Robock et al., 2010), erode political will for emissions cuts (Keith, 2007), or otherwise stimulate increased carbon emissions at the social-system level of analysis (Bunzl, 2008). These debates over carbon removal and geoengineering echo earlier ones over climate adaptation. We argue that debates over "moral hazard" in many areas of climate policy are un-helpful and misleading. We also propose an alternative framework for dealing with the tradeoffs that motivate the appeal to "moral hazard, "which we call "risk-response feedback."
C1 [Jebari, Joseph; Taiwo, Olufemi O.] Georgetown Univ, Dept Philosophy, Washington, DC 20057 USA.
   [Andrews, Talbot M.] Univ Connecticut, Dept Polit Sci, Storrs, CT USA.
   [Aquila, Valentina] Amer Univ, Dept Environm Sci, Washington, DC 20016 USA.
   [Beckage, Brian] Univ Vermont, Dept Plant Biol, Burlington, VT USA.
   [Beckage, Brian] Univ Vermont, Dept Comp Sci, Burlington, VT USA.
   [Belaia, Mariia] Harvard Univ, John A Paulson Sch Engn & Appl Sci, Cambridge, MA 02138 USA.
   [Clifford, Maggie] Amer Univ, Sch Commun, Washington, DC 20016 USA.
   [Fuhrman, Jay] Univ Virginia, Dept Engn Syst & Environm, Charlottesville, VA USA.
   [Keller, David P.] GEOMAR Helmholtz Ctr Ocean Res, Kiel, Germany.
   [Mach, Katharine J.] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, 4600 Rickenbacker Causeway, Miami, FL 33149 USA.
   [Mach, Katharine J.] Univ Miami, Leonard & Jayne Abess Ctr Ecosyst Sci & Policy, Coral Gables, FL 33124 USA.
   [Morrow, David R.] Amer Univ, Forum Climate Engn Assessment, Washington, DC 20016 USA.
   [Raimi, Kaitlin T.] Univ Michigan, Gerald R Ford Sch Publ Policy, Ann Arbor, MI 48109 USA.
   [Visioni, Daniele] Cornell Univ, Sibley Sch Mech & Aerosp Engn, Ithaca, NY 14853 USA.
   [Nicholson, Simon] Amer Univ, Sch Int Serv, Washington, DC 20016 USA.
   [Trisos, Christopher H.] Univ Cape Town, African Climate & Dev Initiat, Cape Town, South Africa.
   [Trisos, Christopher H.] Univ Cape Town, Ctr Stat Environm Ecol & Conservat, Cape Town, South Africa.
C3 Georgetown University; University of Connecticut; American University;
   University of Vermont; University of Vermont; Harvard University;
   American University; University of Virginia; Helmholtz Association;
   GEOMAR Helmholtz Center for Ocean Research Kiel; University of Miami;
   University of Miami; American University; University of Michigan System;
   University of Michigan; Cornell University; American University;
   University of Cape Town; University of Cape Town
RP Jebari, J (corresponding author), Georgetown Univ, Dept Philosophy, Washington, DC 20057 USA.
EM Jdj48@georgetown.edu
RI Aquila, Valentina/ITV-8227-2023; Keller, David P./F-4864-2013; Visioni,
   Daniele/O-7824-2016
OI Belaia, Mariia/0000-0003-2074-8799; Fuhrman, Jay/0000-0003-1853-6850;
   Keller, David P./0000-0002-7546-4614; Visioni,
   Daniele/0000-0002-7342-2189
CR [Anonymous], 1894, AM EXCHANGE REV
   ARROW KJ, 1963, AM ECON REV, V53, P941
   Bathianya Sebastian, 2016, Dynamics and Statistics of the Climate System, V1, P1, DOI 10.1093/climsys/dzw004
   Braynen W, 2014, UTILITAS, V26, P34, DOI 10.1017/S0953820813000204
   Bunzl M, 2008, B ATOM SCI, V64, P18
   Canada. Parliament. House of Commons, 1888, J HOUSE COMMONS CANA
   Carrico AR, 2015, J ENVIRON PSYCHOL, V41, P19, DOI 10.1016/j.jenvp.2014.10.009
   Fowler H. H., 1885, 19 CENTURY MONTHLY R, V18, P69
   Hale B., 2009, Public Affairs Quarterly, V23, P1
   Hernandez S. J., 2018, MEDIUM 0313
   IPCC, 2015, SPEC REP GLOB WARM 1
   Keith D., 2007, CRITICAL LOOK GEOENG
   Lemoine D, 2016, NAT CLIM CHANGE, V6, P514, DOI [10.1038/NCLIMATE2902, 10.1038/nclimate2902]
   Lenton TM, 2011, NAT CLIM CHANGE, V1, P201, DOI [10.1038/NCLIMATE1143, 10.1038/NCLIMATE143]
   Lin AC, 2013, ECOL LAW QUART, V40, P673
   MacMartin DG, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2016.0454
   Markusson N, 2018, GLOB SUSTAIN, V1, DOI 10.1017/sus.2018.10
   McLaren D, 2020, NAT CLIM CHANGE, V10, P392, DOI 10.1038/s41558-020-0740-1
   McLaren D, 2016, EARTHS FUTURE, V4, P596, DOI 10.1002/2016EF000445
   McLaren DP, 2019, FRONT CLIM, V1, DOI 10.3389/fclim.2019.00004
   Milkoreit M, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaaa75
   Morrow DR, 2014, PHILOS T R SOC A, V372, DOI 10.1098/rsta.2014.0062
   Otto IM, 2020, P NATL ACAD SCI USA, V117, P2354, DOI 10.1073/pnas.1900577117
   PAULY MV, 1968, AM ECON REV, V58, P531
   Reynolds J, 2015, ANTHROPOCENE REV, V2, P174, DOI 10.1177/2053019614554304
   Robock A, 2010, SCIENCE, V327, P530, DOI 10.1126/science.1186237
   Rowell D, 2012, J RISK INSUR, V79, P1051, DOI 10.1111/j.1539-6975.2011.01448.x
   Termeer C., 2011, Climate Law, V2, P159, DOI [10.1163/CL-2011-032, DOI 10.1163/CL-2011-032]
   Zweifel P.Eisen., 2012, INSURANCE EC
NR 29
TC 36
Z9 36
U1 2
U2 11
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2021
VL 33
AR 100324
DI 10.1016/j.crm.2021.100324
EA MAY 2021
PG 5
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 UH0VA
UT WOS:000689657300012
OA gold, Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Thacker, S
   Kelly, S
   Pant, R
   Hall, JW
AF Thacker, Scott
   Kelly, Scott
   Pant, Raghav
   Hall, Jim W.
TI Evaluating the Benefits of Adaptation of Critical Infrastructures to
   Hydrometeorological Risks
SO RISK ANALYSIS
LA English
DT Article
DE Adaptation; hydrometeorological risk; infrastructure; interdependence;
   risk reduction
ID STRATEGIC ATTACKERS; AVIATION SECURITY; GAMES; THREATS; FACE
AB Infrastructure adaptation measures provide a practical way to reduce the risk from extreme hydrometeorological hazards, such as floods and windstorms. The benefit of adapting infrastructure assets is evaluated as the reduction in risk relative to the "do nothing" case. However, evaluating the full benefits of risk reduction is challenging because of the complexity of the systems, the scarcity of data, and the uncertainty of future climatic changes. We address this challenge by integrating methods from the study of climate adaptation, infrastructure systems, and complex networks. In doing so, we outline an infrastructure risk assessment that incorporates interdependence, user demands, and potential failure-related economic losses. Individual infrastructure assets are intersected with probabilistic hazard maps to calculate expected annual damages. Protection measure costs are integrated to calculate risk reduction and associated discounted benefits, which are used to explore the business case for investment in adaptation. A demonstration of the methodology is provided for flood protection of major electricity substations in England and Wales. We conclude that the ongoing adaptation program for major electricity assets is highly cost beneficial.
C1 [Thacker, Scott; Pant, Raghav; Hall, Jim W.] Univ Oxford, Environm Change Inst, South Parks Rd, Oxford OX1 3QY, England.
   [Kelly, Scott] Univ Technol Sydney, Inst Sustainable Futures, Ultimo, NSW 2007, Australia.
C3 University of Oxford; University of Technology Sydney
RP Thacker, S (corresponding author), Univ Oxford, Environm Change Inst, South Parks Rd, Oxford OX1 3QY, England.
EM scott.thacker@ouce.ox.ac.uk
RI Hall, Jim/ABF-1407-2020; Kelly, Scott/ABC-7526-2020; Kelly,
   Scott/F-8774-2011
OI Kelly, Scott/0000-0002-8454-6144; Hall, Jim W/0000-0002-2024-9191
FU EPSRC [EP/I01344X/1, EP/N017064/1] Funding Source: UKRI
CR [Anonymous], 2014, PROBABILITY STAT QUE
   Bakshi N, 2010, MANAGE SCI, V56, P219, DOI 10.1287/mnsc.1090.1105
   Bennett AC., 2008, 100% container scanning: security policy implications for global supply chains
   Cheung M, 2012, DECIS ANAL, V9, P156, DOI 10.1287/deca.1120.0233
   Dorton S.L., 2011, Analysis of Airport Security Screening Checkpoints Using Queuing Networks and Discrete Event Simulation: a Theoretical and Empirical Approach
   GILLIAM RR, 1979, INTERFACES, V9, P117, DOI 10.1287/inte.9.4.117
   Hausken K, 2012, RELIAB ENG SYST SAFE, V112, P214
   Hausken K, 2011, INT J SYST SCI, V42, P11, DOI 10.1080/00207720903434789
   Hines W, 2008, Probability and statistics in engineering
   Jackson BA, 2012, J TRANSP SECUR, V5, P1, DOI 10.1007/s12198-011-0077-0
   Jacobson SH, 2005, OPTIM ENG, V6, P339, DOI 10.1007/s11081-005-1743-5
   Jose VRR, 2013, MIL OPER RES, V18, P33, DOI 10.5711/1082598318233
   Lee AJ, 2012, TRANSPORT SCI, V46, P189, DOI 10.1287/trsc.1110.0384
   LEVITIN K.H.G., 2012, International Journal of Performability Engineering, V8, P355
   Martonosi S.E., 2005, OPERATIONS RES APPRO
   McLay LA, 2006, NAV RES LOG, V53, P183, DOI 10.1002/nav.20131
   Ming Y., 2012, ADV INFORM SCI SERVI, V4, P145
   Nganje W, 2008, AM J AGR ECON, V90, P1265, DOI 10.1111/j.1467-8276.2008.01215.x
   Nikolaev AG, 2012, IEEE T INTELL TRANSP, V13, P203, DOI 10.1109/TITS.2011.2167230
   Nikoofal ME, 2012, RISK ANAL, V32, P930, DOI 10.1111/j.1539-6924.2011.01702.x
   Patterson SA, 2007, RELIAB ENG SYST SAFE, V92, P1183, DOI 10.1016/j.ress.2006.08.004
   Regattieri A., 2010, International Journal of Services and Operations Management, V6, P206, DOI 10.1504/IJSOM.2010.030636
   ROSENTHAL RW, 1979, ECONOMETRICA, V47, P1353, DOI 10.2307/1914005
   Shan XJ, 2013, RISK ANAL, V33, P1083, DOI 10.1111/j.1539-6924.2012.01919.x
   Shan XJ, 2013, EUR J OPER RES, V228, P262, DOI 10.1016/j.ejor.2013.01.029
   Shan XJ, 2014, DECIS ANAL, V11, P43, DOI 10.1287/deca.2013.0288
   Song C, ANN OPERATIONS RES, V258, P237
   Song C, WORKING PAPER
   Transportation Security Administration, 2013, TSA PRE EXP EXP SCR
   Transportation Security Administration, 2017, TSA PRECH AIRL AIRP
   Transportation Security Administration, 2017, PART TSA PRECH
   Transportation Security Administration, 2017, TSA PRE EXP INCL UN
   Transportation Security Administration , 2017, TSA PRE APPL PROGR
   Wang XF, 2011, EUR J OPER RES, V212, P100, DOI 10.1016/j.ejor.2011.01.019
   Wein LM, 2006, RISK ANAL, V26, P1377, DOI 10.1111/j.1539-6924.2006.00817.x
   Yoon D., 2007, ANAL TRUCK DELAYS CO
   Zhuang J., 2007, Engineering Economist, V52, P1, DOI 10.1080/00137910601159722
   Zhuang J, 2010, EUR J OPER RES, V203, P409, DOI 10.1016/j.ejor.2009.07.028
NR 38
TC 27
Z9 28
U1 0
U2 29
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 JAN
PY 2018
VL 38
IS 1
BP 134
EP 150
DI 10.1111/risa.12839
PG 17
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 FR5WP
UT WOS:000419137600011
PM 28666064
DA 2025-01-10
ER

PT J
AU Stone, B
   Vargo, J
   Liu, P
   Habeeb, D
   DeLucia, A
   Trail, M
   Hu, YT
   Russell, A
AF Stone, Brian, Jr.
   Vargo, Jason
   Liu, Peng
   Habeeb, Dana
   DeLucia, Anthony
   Trail, Marcus
   Hu, Yongtao
   Russell, Armistead
TI Avoided Heat-Related Mortality through Climate Adaptation Strategies in
   Three US Cities
SO PLOS ONE
LA English
DT Article
ID UNITED-STATES; URBAN; TEMPERATURE; WEATHER; CALIFORNIA; IMPACTS; ISLAND;
   MODEL
AB Heat-related mortality in US cities is expected to more than double by the mid-to-late 21st century. Rising heat exposure in cities is projected to result from: 1) climate forcings from changing global atmospheric composition; and 2) local land surface characteristics responsible for the urban heat island effect. The extent to which heat management strategies designed to lessen the urban heat island effect could offset future heat-related mortality remains unexplored in the literature. Using coupled global and regional climate models with a human health effects model, we estimate changes in the number of heat-related deaths in 2050 resulting from modifications to vegetative cover and surface albedo across three climatically and demographically diverse US metropolitan areas: Atlanta, Georgia, Philadelphia, Pennsylvania, and Phoenix, Arizona. Employing separate health impact functions for average warm season and heat wave conditions in 2050, we find combinations of vegetation and albedo enhancement to offset projected increases in heat-related mortality by 40 to 99% across the three metropolitan regions. These results demonstrate the potential for extensive land surface changes in cities to provide adaptive benefits to urban populations at risk for rising heat exposure with climate change.
C1 [Stone, Brian, Jr.; Habeeb, Dana] Georgia Inst Technol, Sch City & Reg Planning, Atlanta, GA 30332 USA.
   [Vargo, Jason] Univ Wisconsin, Ctr Sustainabil & Global Environm, Madison, WI USA.
   [Liu, Peng; Trail, Marcus; Hu, Yongtao; Russell, Armistead] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA.
   [DeLucia, Anthony] E Tennessee State Univ, Quillen Coll Med, Johnson City, TN 37614 USA.
C3 University System of Georgia; Georgia Institute of Technology;
   University of Wisconsin System; University of Wisconsin Madison;
   University System of Georgia; Georgia Institute of Technology; East
   Tennessee State University
RP Stone, B (corresponding author), Georgia Inst Technol, Sch City & Reg Planning, Atlanta, GA 30332 USA.
EM stone@gatech.edu
RI Yongtao, Hu/H-7543-2016
OI Yongtao, Hu/0000-0002-5161-0592
FU US Centers for Disease Control and Prevention (CDC) [5U01EH000432-02]
FX This research was made possible by a grant from the US Centers for
   Disease Control and Prevention (CDC) through project #5U01EH000432-02.
   Although the research described in the article has been funded wholly or
   in part by the CDC, it has not been subjected to any CDC review and
   therefore does not necessarily reflect the views of the Center, and no
   official endorsement should be inferred. The funders had no role in
   study design, data collection and analysis, decision to publish, or
   preparation of the manuscript.
CR Alpert D, 2012, ATLANTIC CITIES 0505
   Anderson GB, 2011, ENVIRON HEALTH PERSP, V119, P210, DOI 10.1289/ehp.1002313
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   Convertino M, 2013, SCI REP-UK, V3, DOI 10.1038/srep02922
   Fry J, 2009, 1379 US GEOL SURV, V1379
   Hajat S, 2002, J EPIDEMIOL COMMUN H, V56, P367, DOI 10.1136/jech.56.5.367
   Hajat S, 2006, EPIDEMIOLOGY, V17, P632, DOI 10.1097/01.ede.0000239688.70829.63
   Hart M, 2009, THEOR APPL CLIMATOL, V95, P397, DOI 10.1007/s00704-008-0017-5
   Hayhoe K, 2004, P NATL ACAD SCI USA, V101, P12422, DOI 10.1073/pnas.0404500101
   KALKSTEIN LS, 1989, ANN ASSOC AM GEOGR, V79, P44, DOI 10.1111/j.1467-8306.1989.tb00249.x
   Knowlton K, 2007, AM J PUBLIC HEALTH, V97, P2028, DOI 10.2105/AJPH.2006.102947
   Liu P, 2012, ATMOS CHEM PHYS, V12, P3601, DOI 10.5194/acp-12-3601-2012
   Lynn BH, 2010, CLIMATIC CHANGE, V99, P567, DOI 10.1007/s10584-009-9729-5
   McCarthy MP, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL042845
   Medina-Ramón M, 2007, OCCUP ENVIRON MED, V64, P827, DOI 10.1136/oem.2007.033175
   Oke T. R., 1987, Boundary layer climates, V2nd
   Peng RD, 2011, ENVIRON HEALTH PERSP, V119, P701, DOI 10.1289/ehp.1002430
   Racherla PN, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD018091
   Schmidt GA, 2006, J CLIMATE, V19, P153, DOI 10.1175/JCLI3612.1
   Sheridan SC, 2012, CLIMATIC CHANGE, V115, P291, DOI 10.1007/s10584-012-0436-2
   Skamarock WC, 2008, J COMPUT PHYS, V227, P3465, DOI 10.1016/j.jcp.2007.01.037
   Spronken-Smith RA, 1998, INT J REMOTE SENS, V19, P2085, DOI 10.1080/014311698214884
   Stone B, 2007, INT J CLIMATOL, V27, P1801, DOI 10.1002/joc.1555
   TAHA H, 1991, THEOR APPL CLIMATOL, V44, P123, DOI 10.1007/BF00867999
   Trail M, 2013, GEOSCI MODEL DEV, V6, P1429, DOI 10.5194/gmd-6-1429-2013
   Vargo J, 2013, J ENVIRON MANAGE, V114, P243, DOI 10.1016/j.jenvman.2012.10.007
   Voorhees AS, 2011, ENVIRON SCI TECHNOL, V45, P1450, DOI 10.1021/es102820y
   Zanobetti A, 2008, EPIDEMIOLOGY, V19, P563, DOI 10.1097/EDE.0b013e31816d652d
   Zhou LM, 2004, P NATL ACAD SCI USA, V101, P9540, DOI 10.1073/pnas.0400357101
   Zhou Y, 2010, NAT HAZARDS, V52, P639, DOI 10.1007/s11069-009-9406-z
NR 30
TC 110
Z9 121
U1 3
U2 95
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 JUN 25
PY 2014
VL 9
IS 6
AR e100852
DI 10.1371/journal.pone.0100852
PG 8
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA AK8WO
UT WOS:000338709500089
PM 24964213
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Chow, TT
   Bai, Y
   Dong, ZT
   Fong, KF
AF Chow, Tin-Tai
   Bai, Yu
   Dong, Zhaoting
   Fong, Kwong-Fai
TI Selection between single-phase and two-phase evacuated-tube solar water
   heaters in different climate zones of China
SO SOLAR ENERGY
LA English
DT Article
DE Solar water heating; Evacuated-tube collector; Thermosyphon system;
   Economic payback period
ID CLOSED THERMOSIPHON; HONG-KONG; PERFORMANCE; SYSTEMS
AB Evacuated-tube (ET) solar water heaters are popular in China. Both single-phase and two-phase thermosyphon ET collector systems are available in the market. However, the system energy and economic performance has not been evaluated systematically. In this paper, the numerical evaluation of these two types of solar water heaters in different climate zones of China was reported on the aspects of system energy performance and economical return. The single-phase system is found having better cost payback period in all these cities, and can be a suitable choice except for locations with extreme cold weather. The two-phase design is an attractive and sustainable alternative since its thermal efficiency is higher under the same weather condition and this is important for supporting zero-carbon building design. On the other hand, it can be readily used to enhance the outside appearance of a building. Hence when considering climate adaptability and aesthetic compatibility, the potential of the two-phase system is higher. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Chow, Tin-Tai; Bai, Yu; Dong, Zhaoting; Fong, Kwong-Fai] City Univ Hong Kong, Div Bldg Sci & Technol, Bldg Energy & Environm Technol Res Unit, Kowloon, Hong Kong, Peoples R China.
C3 City University of Hong Kong
RP Chow, TT (corresponding author), City Univ Hong Kong, Div Bldg Sci & Technol, Bldg Energy & Environm Technol Res Unit, Kowloon, Hong Kong, Peoples R China.
EM bsttchow@cityu.edu.hk
RI Fong, K.F./L-5288-2013
OI Fong, K.F./0000-0002-7122-2925
CR [Anonymous], 2009, Buildings and Climate Change: Summary for Decision Makers
   Beurskens L.W.M., 2008, Solar Thermal Barometer
   Budihardjo I, 2009, SOL ENERGY, V83, P49, DOI 10.1016/j.solener.2008.06.010
   CBS, 1989, B7277125581989 CNS M
   Chen BR, 2009, SOL ENERGY, V83, P1048, DOI 10.1016/j.solener.2009.01.007
   Chow TT, 2012, P I MECH ENG A-J POW, V226, P447, DOI 10.1177/0957650912442851
   Chow TT, 2011, ENERG BUILDINGS, V43, P3467, DOI 10.1016/j.enbuild.2011.09.009
   CNS, 2002, 187082002 CNS GBT
   CNS, 2008, 1291592008 CNS GBT
   CNS, 2005, 503522005 CNS GB
   Dong Z.T., 2011, THESIS CITY U HONG K
   Farsi H, 2003, APPL THERM ENG, V23, P1895, DOI 10.1016/S1359-4311(03)00147-9
   Han JY, 2010, ENERG POLICY, V38, P383, DOI 10.1016/j.enpol.2009.09.029
   Hu RQ, 2012, ENERG POLICY, V51, P46, DOI 10.1016/j.enpol.2012.03.081
   Jordan U., 2001, REALISTIC DOMESTIC H
   Li W, 2011, ENERG POLICY, V39, P5909, DOI 10.1016/j.enpol.2011.06.044
   Nada SA, 2004, APPL THERM ENG, V24, P1959, DOI 10.1016/j.applthermaleng.2003.12.015
   SEL, 2006, TRNSYS TRANS SIM PRO
   Tang RS, 2009, ENERGY, V34, P1387, DOI 10.1016/j.energy.2009.06.014
   Wang RZ, 2010, ENERGY, V35, P4407, DOI 10.1016/j.energy.2009.04.005
   Weiss W, 2023, Solar heat worldwide 2023
   Yellott H. J., 1973, ASHRAE J, V15, P31
NR 22
TC 15
Z9 16
U1 1
U2 15
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0038-092X
J9 SOL ENERGY
JI Sol. Energy
PD DEC
PY 2013
VL 98
BP 265
EP 274
DI 10.1016/j.solener.2013.10.011
PN C
PG 10
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA 293EB
UT WOS:000329953100010
DA 2025-01-10
ER

PT J
AU Eriksen, S
   Oyen, C
   Kasa, S
   Underthun, A
AF Eriksen, Siri
   Oyen, Cecilie
   Kasa, Sjur
   Underthun, Anders
TI Weakening adaptive capacity? Effects of organizational and institutional
   change on the housing sector in Norway
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE adaptive capacity; adaption actions; climate change; housing sector;
   local knowledge; Norway
ID CLIMATE-CHANGE; VULNERABILITY; IMPACTS; PRECIPITATION; TEMPERATURE;
   ADAPTATION; MANAGEMENT; SCENARIOS; DYNAMICS
AB In this paper, we investigate adaptive capacity in a developed country context through a case study of how the housing sector undertakes local adaptation action in Norway. A particular concern is climate adapted solutions in the design and construction of prefabricated houses in response to the large geographic variations in climate. Two main research questions are raised. First, how does organizational structure of prefabricated housing manufacturers affect decision making processes, information flows and local adaptation actions? Second, how does institutional change in terms of regulatory reform of the sector affect adaptive capacity in terms of organizational structure of manufacturers and the co-generation of adaptation knowledge between public and private sector institutions? Findings suggest that the type of development demonstrated by the housing sector, strongly influenced by New Public Management type reforms, may weaken adaptive capacity unless particular measures are taken to strengthen the role of local knowledge and responsibilities for adaptation actions. Addressing the implications of governance and other societal changes for adaptive capacity must form part of any effort to promote adaptation in a developed world context.
C1 [Eriksen, Siri] Univ Oslo, Dept Sociol & Human Geog, N-0316 Oslo, Norway.
   [Oyen, Cecilie] SINTEF Bldg & Infrastruct, Oslo, Norway.
   [Oyen, Cecilie] Norwegian Univ Sci & Technol NTNU, Dept Architectural Design & Management, Trondheim, Norway.
   [Kasa, Sjur] CICERO Ctr Int Climate & Environm Res, Oslo, Norway.
   [Underthun, Anders] Univ Sci & Technol NTNU, Dept Geog, Trondheim, Norway.
C3 University of Oslo; SINTEF; Norwegian University of Science & Technology
   (NTNU); Norwegian University of Science & Technology (NTNU)
RP Eriksen, S (corresponding author), Univ Oslo, Dept Sociol & Human Geog, N-0316 Oslo, Norway.
EM s.e.h.eriksen@sgeo.uio.no
CR [Anonymous], 2007, Statistics Norway
   [Anonymous], 2006, GLOBAL ENVIRON CHANG, DOI [DOI 10.1007/s11027-013-9475-x, DOI 10.1016/j.gloenvcha.2005.10.004]
   [Anonymous], 2007, CLIM CHANG 2007 4 AS
   Benestad RE, 2002, CLIM RES, V21, P105, DOI 10.3354/cr021105
   Berkes F., 1999, Sacred ecology: Traditional ecological knowledge and resource management
   Cash DW, 2006, ECOL SOC, V11
   Cutter SL, 2003, ANN ASSOC AM GEOGR, V93, P1, DOI 10.1111/1467-8306.93101
   Denters B., 2005, COMP LOCAL GOVERNANC
   *EA, 2007, HUMB EST SHOR MAN PL
   ERIKSEN S, 2007, 3 SINTEF BUILD INFR
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Hanssen-Bauer I, 2003, CLIMATE RES, V25, P15, DOI 10.3354/cr025015
   Haugen JE, 2008, TELLUS A, V60, P411, DOI 10.1111/j.1600-0870.2008.00315.x
   HOLMAN I, 2009, ASSESSING VULNERABIL, P41
   INGVALDSEN T, 1994, 163 NBI PROJ NORW BU
   INGVALDSEN T, 2007, EFFICIENCY ANAL CONS
   IPCC, 2007, 4 IPCC WORK GROUP 2
   Iversen T., 2005, REGCLIM NORGES KLIMA
   Jessop B., 2000, NEW POLITICS BRIT LO, P11
   LAEGEREID P, 2001, NEW PUBLIC MANAGEMEN
   Liso K. R., 2005, P 7 S BUILD PHYS NOR
   Liso KR, 2003, BUILD RES INF, V31, P200, DOI 10.1080/0961321032000097629
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   Morrow BH, 1999, DISASTERS, V23, P1, DOI 10.1111/1467-7717.00102
   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
   O'Brien K, 2004, CLIMATIC CHANGE, V64, P193, DOI 10.1023/B:CLIM.0000024668.70143.80
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Olsson P, 2001, ECOSYSTEMS, V4, P85, DOI 10.1007/s100210000061
   OYEN CF, 2005, 69 NBI NORW BUILD RE
   Smith J.B., 2003, CLIMATE CHANGE ADAPT
   SORBY H, 1992, KLAR FERDIG HUS NORS
   Sorensen E, 2006, AM REV PUBLIC ADM, V36, P98, DOI 10.1177/0275074005282584
   Sorrell S, 2003, ENERG POLICY, V31, P865, DOI 10.1016/S0301-4215(02)00130-1
   Tompkins EL, 2005, ENVIRON SCI POLICY, V8, P562, DOI 10.1016/j.envsci.2005.06.012
   Tompkins EL, 2004, ECOL SOC, V9
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 38
TC 8
Z9 9
U1 3
U2 18
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 2009
VL 1
IS 2
BP 111
EP 129
DI 10.3763/cdev.2009.0014
PG 19
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA V17BY
UT WOS:000207913900002
DA 2025-01-10
ER

PT C
AU Jit, S
   Spinney, J
   Chandra, P
   Chilton, L
   Soden, R
AF Jit, Sophia
   Spinney, Jennifer
   Chandra, Priyank
   Chilton, Lydia
   Soden, Robert
GP ACM
TI Writing out the Storm: Designing and Evaluating Tools for Weather Risk
   Messaging
SO PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING
   SYTEMS, CHI 2024
LA English
DT Proceedings Paper
CT CHI Conference on Human Factors in Computing Sytems (CHI)
CY MAY 11-16, 2024
CL Honolulu, HI
SP Assoc Comp Machinery, ACM SIGCHI, Apple, Google, NSF, Tianqiao & Chrissy Chen Inst
DE Creativity Support; Crisis/Disaster; Empirical study that tells us about
   how people use a system
ID EXTREME WEATHER; PUBLIC RESPONSE; NEURAL-NETWORK; FALSE ALARMS;
   COMMUNICATION; VULNERABILITY; PERCEPTION; WARNINGS; SYSTEMS; EVENTS
AB Communicating risk to the public in the lead-up to and during severe weather events has the potential to reduce the impacts of these events on lives and property. Globally, these events are anticipated to increase due to climate change, rendering effective risk communication an integral component of climate adaptation policies. Research in risk communications literature has developed substantial knowledge and best practices for the design of risk messaging. This study considers the potential for quantifying the compliance of severe weather risk messages with these best practices, individually and at scale, and developing tools to improve risk communication messaging. The current work makes two contributions. First, we develop a string-matching approach to evaluate whether messaging complies with best practices and suggest areas for improvement. Second, we conduct an interview study with risk communication professionals to inform the design space of authoring tools and other technologies to support severe weather risk communicators.
C1 [Jit, Sophia; Chandra, Priyank; Soden, Robert] Univ Toronto, Toronto, ON, Canada.
   [Spinney, Jennifer] York Univ, Toronto, ON, Canada.
   [Chilton, Lydia] Columbia Univ, New York, NY USA.
C3 University of Toronto; York University - Canada; Columbia University
RP Jit, S (corresponding author), Univ Toronto, Toronto, ON, Canada.
EM sophia.jit@mail.utoronto.ca; jspinney@yorku.ca;
   priyank.chandra@utoronto.ca; lc3251@columbia.edu; soden@cs.toronto.edu
RI Soden, Robert/KSM-2519-2024; Chandra, Priyank/A-5976-2019
OI Soden, Robert/0000-0003-2657-0485; Chilton, Lydia/0000-0002-1737-1276;
   Chandra, Priyank/0000-0003-4024-8871
CR A D., 2019, Journal of Computational Information Systems, V15, P26
   Abhigna P, 2017, 2017 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), P1856, DOI 10.1109/ICCSP.2017.8286717
   Abid F, 2019, FUTURE GENER COMP SY, V95, P292, DOI 10.1016/j.future.2018.12.018
   Acerbo FS, 2017, PROCEEDINGS OF THE 2017 FIRST CONEXT WORKSHOP ON ICT TOOLS FOR EMERGENCY NETWORKS AND DISASTER RELIEF (I-TENDER '17), P1, DOI 10.1145/3152896.3152897
   AHO AV, 1975, COMMUN ACM, V18, P333, DOI 10.1145/360825.360855
   Alon-Barkat S, 2023, J PUBL ADM RES THEOR, V33, P153, DOI 10.1093/jopart/muac007
   Alsmadi Izzat, 2012, International Journal of Advanced Science and Technology, V47, P13
   [Anonymous], 2013, P SIGCHI C HUM FACT, DOI [10.1145/2470654, DOI 10.1145/2470654]
   [Anonymous], 2008, P 3 INT JOINT C NAT
   Arvai J, 2014, J RISK RES, V17, P1245, DOI 10.1080/13669877.2014.919519
   Bahdanau D, 2016, Arxiv, DOI [arXiv:1409.0473, DOI 10.48550/ARXIV.1409.0473]
   Balamurugan A, 2006, Efective Analysis of Social Networks for Emergency Alert and Disaster Management Using Android, V11, P10291
   Barzilay R, 2008, COMPUT LINGUIST, V34, P1, DOI 10.1162/coli.2008.34.1.1
   Bennett CL, 2019, CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, DOI [10.1145/3290605.3300528, 10.1109/mms48040.2019.9157327]
   Berner Eta S, 2003, AMIA Annu Symp Proc, P76
   Bica M, 2020, COMPUT SUPP COOP W J, V29, P587, DOI 10.1007/s10606-020-09380-2
   Bica M, 2019, CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, DOI 10.1145/3290605.3300545
   Blackwell Angela Glover, 2017, Stanford Social Innovation Review, V15, P28
   Brewer NT, 2007, HEALTH PSYCHOL, V26, P136, DOI 10.1037/0278-6133.26.2.136
   Bubeck P, 2013, GLOBAL ENVIRON CHANG, V23, P1327, DOI 10.1016/j.gloenvcha.2013.05.009
   Burningham K, 2008, DISASTERS, V32, P216, DOI 10.1111/j.1467-7717.2007.01036.x
   Calzolari N., 1984, 10th International Conference on Computational Linguistics. 22nd Annual Meeting of the Association for Computational Linguistics. Proceedings of Coling 84, P170
   Chakrabarty T, 2021, 2021 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL-HLT 2021), P4250
   Charras C., 2004, Handbook of Exact String Matching Algorithms
   Chen MX, 2019, KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, P2287, DOI 10.1145/3292500.3330723
   Cheng LL, 2003, EIGHTH INTERNATIONAL CONFERENCE ON DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PROCEEDINGS, P303
   Cho K., 2014, ARXIV, DOI [10.3115/v1/W14-4012, 10.3115/v1/w14-4012, DOI 10.3115/V1/W14-4012]
   Chollampatt S, 2016, Arxiv, DOI arXiv:1606.00189
   Cobb C., 2014, Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work38; Social Computing, P888, DOI DOI 10.1145/2531602.2531712
   Coenen A, 2021, Arxiv, DOI [arXiv:2107.07430, DOI 10.48550/ARXIV.2107.07430]
   de Boer J, 2015, RISK ANAL, V35, P518, DOI 10.1111/risa.12289
   de Hoog N, 2007, REV GEN PSYCHOL, V11, P258, DOI 10.1037/1089-2680.11.3.258
   Demeritt D, 2014, ENVIRON HAZARDS-UK, V13, P313, DOI 10.1080/17477891.2014.924897
   Demuth JL, 2012, B AM METEOROL SOC, V93, P1133, DOI 10.1175/BAMS-D-11-00150.1
   Devlin J, 2014, PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1, P1370
   Dohling Lars, 2011, CEUR Workshop Proceedings, V798
   Donovan Amy Rosamund, 2019, Changing the paradigm for risk communication: integrating sciences to understand cultures
   Doshi-Velez F, 2017, Arxiv, DOI arXiv:1702.08608
   Dow K, 1998, COAST MANAGE, V26, P237, DOI 10.1080/08920759809362356
   DRABEK TE, 1971, J APPL SOC PSYCHOL, V1, P187, DOI 10.1111/j.1559-1816.1971.tb00362.x
   Dreiseitl S, 2005, ARTIF INTELL MED, V33, P25, DOI 10.1016/j.artmed.2004.07.007
   Du XD, 2024, Arxiv, DOI arXiv:2311.17137
   Ellouze S, 2016, LECT NOTES COMPUT SC, V9612, P392, DOI 10.1007/978-3-319-41754-7_39
   Farr JN, 1951, J APPL PSYCHOL, V35, P333, DOI 10.1037/h0062427
   Field Christopher B, 2012, Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the intergovernmental panel on climate change, V5, P291
   Fischer L, 2023, WEATHER CLIM SOC, V15, P307, DOI 10.1175/WCAS-D-22-0092.1
   Fischhoff B., 1989, Effective risk communication: The role and responsibility of government and nongovernment organizations, P111
   Flesch R, 1948, J APPL PSYCHOL, V32, P221, DOI 10.1037/h0057532
   Furquim G, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18030907
   Gero Katy Ilonka, 2021, Proceedings of the ACM on Human-Computer Interaction, V5, DOI 10.1145/3479566
   Gero KI, 2022, PROCEEDINGS OF THE 2022 ACM DESIGNING INTERACTIVE SYSTEMS CONFERENCE, DIS 2022, P1002, DOI 10.1145/3532106.3533533
   Government of Canada, 2025, Climate change adaptation in Canada
   Gui XN, 2018, PROCEEDINGS OF THE 2018 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2018), DOI 10.1145/3173574.3173788
   Gui XN, 2017, PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17), P4520, DOI 10.1145/3025453.3025891
   Hadihardaja IK, 2011, J HYDROINFORM, V13, P96, DOI 10.2166/hydro.2010.001
   Hadihardaja Iwan K, 2012, WIT Transactions on Ecology and the Environment, V167, P375
   Hassan A, 2017, 2017 3RD INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), P705, DOI 10.1109/ICCAR.2017.7942788
   He Changyang, 2022, Proceedings of the ACM on Human-Computer Interaction, DOI 10.1145/3555147
   He H., 2014, P 2014 C EMPIRICAL M, P1342, DOI 10.3115/v1/D14-1140
   Henderson J, 2020, WEATHER FORECAST, V35, P1459, DOI 10.1175/WAF-D-19-0216.1
   Henstra D, 2012, J COMP POLICY ANAL, V14, P175, DOI 10.1080/13876988.2012.665215
   Jia XC, 2017, I S INTELL SIG PROC, P540, DOI 10.1109/ISPACS.2017.8266537
   Joffe Helene, 2011, Qualitative research methods in mental health and psychotherapy: A guide for students and practitioners, P209, DOI [DOI 10.1007/978-981-10-5251-4103, 10.1007/978-981-10-2779-6_103-1, DOI 10.1037/13620-004]
   Junczys-Dowmunt Marcin, 2018, P 2018 C N AM CHAPT, V1, P595, DOI DOI 10.18653/V1/N18-1055
   Kalchbrenner N, 2017, Arxiv, DOI arXiv:1610.10099
   Kannan A, 2016, KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, P955, DOI 10.1145/2939672.2939801
   Kox Thomas, 2015, 12 INT C INF SYST CR
   Lazrus H, 2012, WEATHER CLIM SOC, V4, P103, DOI 10.1175/WCAS-D-12-00015.1
   Leavitt A, 2017, CSCW'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING, P1246, DOI 10.1145/2998181.2998299
   Leavitt A, 2014, 32ND ANNUAL ACM CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2014), P1495, DOI 10.1145/2556288.2557140
   Li XY, 2021, PROC ACM INTERACT MO, V5, DOI 10.1145/3448100
   Lin Z., 2012, Proceedings of ACL, P1006
   Lindell MK, 2012, RISK ANAL, V32, P616, DOI 10.1111/j.1539-6924.2011.01647.x
   Ludwig T, 2015, CHI 2015: PROCEEDINGS OF THE 33RD ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, P4083, DOI 10.1145/2702123.2702265
   MacIntyre E, 2019, HEALTH PROMOT CHRON, V39, P142, DOI 10.24095/hpcdp.39.4.06
   Mani NS, 2021, J MED LIBR ASSOC, V109, P422, DOI 10.5195/jmla.2021.1165
   Marten K, 2004, EUR RADIOL, V14, P1930, DOI 10.1007/s00330-004-2389-y
   Mase H, 2011, J WATERW PORT COAST, V137, P263, DOI 10.1061/(ASCE)WW.1943-5460.0000092
   Mayhorn CB, 2014, SAFETY SCI, V61, P43, DOI 10.1016/j.ssci.2012.04.014
   Mileti DS, 2000, J HAZARD MATER, V75, P181, DOI 10.1016/S0304-3894(00)00179-5
   Morrow BH, 2015, TROP CYCLONE RES REV, V4, P38, DOI 10.6057/2015TCRR01.05
   Morrow BH, 2015, B AM METEOROL SOC, V96, P35, DOI 10.1175/BAMS-D-13-00197.1
   Morss RE, 2018, INT J DISAST RISK RE, V30, P44, DOI 10.1016/j.ijdrr.2018.01.023
   Myers L., 2016, NOAA Weather Information and Dissemination All Hazards Stakeholder Project: Phase 1. 26 pp\\. [Available online at
   Nielsen ER, 2015, WEATHER FORECAST, V30, P1673, DOI 10.1175/WAF-D-15-0084.1
   Norris Wendy, 2022, Proceedings of the ACM on Human-Computer Interaction, V6, DOI 10.1145/3512955
   Ogie RI, 2018, 2018 5TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR DISASTER MANAGEMENT (ICT-DM)
   Olteanu A, 2015, PROCEEDINGS OF THE 2015 ACM INTERNATIONAL CONFERENCE ON COMPUTER-SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING (CSCW'15), P994, DOI 10.1145/2675133.2675242
   Palen L, 2016, SCIENCE, V353, P224, DOI 10.1126/science.aag2579
   Pandey N, 2016, 2016 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), P1352, DOI 10.1109/ICACCI.2016.7732236
   Panteli M, 2015, ELECTR POW SYST RES, V127, P259, DOI 10.1016/j.epsr.2015.06.012
   Park ES, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101261
   Peng ZH, 2020, PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20), DOI 10.1145/3313831.3376695
   PERRY RW, 1982, J SOC PSYCHOL, V116, P199, DOI 10.1080/00224545.1982.9922771
   Peters GJY, 2013, HEALTH PSYCHOL REV, V7, pS8, DOI 10.1080/17437199.2012.703527
   Pine KH, 2021, CHI '21: PROCEEDINGS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, DOI 10.1145/3411764.3445051
   Pitler E, 2010, ACL 2010: 48TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, P544
   Qu Y., 2011, P ACM 2011 C COMP SU, P25, DOI [10.1145/1958824.1958830, DOI 10.1145/1958824.1958830]
   Redish J., 2000, ACM Journal of Computer Documentation, V24, P132, DOI 10.1145/344599.344637
   Ribeiro MT, 2016, KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, P1135, DOI 10.1145/2939672.2939778
   Ripberger JT, 2015, RISK ANAL, V35, P44, DOI 10.1111/risa.12262
   Roemmele M, 2016, AAAI CONF ARTIF INTE, P4311
   Sakai T, 2017, 2017 IEEE 10TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (IWCIA), P207, DOI 10.1109/IWCIA.2017.8203586
   Sarter NB, 2001, HUM FACTORS, V43, P573, DOI 10.1518/001872001775870403
   Schulze K, 2015, ISCRAM
   Shen Lijiang, 2013, The efects of message features, P20
   Shklovski I, 2008, CSCW: 2008 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK, CONFERENCE PROCEEDINGS, P127
   Simmons KM, 2009, WEATHER CLIM SOC, V1, P38, DOI 10.1175/2009WCAS1005.1
   Singla N., 2012, INT J SOFT COMPUT EN, V1, P218
   So M, 2020, DISASTER MED PUBLIC, V14, P449, DOI 10.1017/dmp.2019.62
   Soden R, 2022, PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22), DOI 10.1145/3491102.3502101
   Spence PR, 2007, J HEALTH CARE POOR U, V18, P394, DOI 10.1353/hpu.2007.0047
   Starbird K, 2011, 29TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, P1071
   Starbird Kate, 2013, P 2013 C COMP SUPP C, P491
   Sutton J, 2021, WEATHER CLIM SOC, V13, P1003, DOI 10.1175/WCAS-D-21-0097.1
   Sutton J, 2019, NAT HAZARDS REV, V20, DOI 10.1061/(ASCE)NH.1527-6996.0000324
   Tarhio J, 1997, SOFTWARE PRACT EXPER, V27, P851, DOI 10.1002/(SICI)1097-024X(199707)27:7<851::AID-SPE108>3.0.CO;2-D
   Terpstra T, 2013, ENVIRON BEHAV, V45, P993, DOI 10.1177/0013916512452427
   United Nations Regional Information Centre for Western Europe, 2022, 2021 foods: UN researchers aim to better prepare for climate risks
   Vieweg S, 2010, CHI2010: PROCEEDINGS OF THE 28TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1-4, P1079, DOI 10.1145/1753326.1753486
   Wachinger G, 2013, RISK ANAL, V33, P1049, DOI 10.1111/j.1539-6924.2012.01942.x
   Willigen M.V., 2002, Natural Hazards Review, V3, P98, DOI [10.1061/(ASCE)1527-6988(2002)3:3(98, DOI 10.1061/(ASCE)1527-6988(2002)3:3(98]
   Wobbrock Jacob O., 2011, ACM Trans. Access. Comput., V3, P1, DOI [DOI 10.1145/1952383.1952384, 10.1145/1952383.1952384]
   Wong-Villacres M, 2020, PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20), DOI 10.1145/3313831.3376329
   Wu SM, 2019, CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, DOI 10.1145/3290605.3300746
   Yeh M, 2001, HUM FACTORS, V43, P355, DOI 10.1518/001872001775898269
   Yin J, 2012, IEEE INTELL SYST, V27, P52, DOI 10.1109/MIS.2012.6
   Yubo Kou, 2017, Proceedings of the ACM on Human-Computer Interaction, V1, DOI 10.1145/3134695
   Zade Himanshu, 2018, Proceedings of the ACM on Human-Computer Interaction, V2, DOI 10.1145/3274464
NR 129
TC 0
Z9 0
U1 0
U2 0
PU ASSOC COMPUTING MACHINERY
PI NEW YORK
PA 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES
BN 979-8-4007-0330-0
PY 2024
DI 10.1145/3613904.3641926
PG 16
WC Computer Science, Artificial Intelligence; Computer Science, Information
   Systems; Computer Science, Theory & Methods
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science
GA BX1ZC
UT WOS:001255317900039
OA Bronze
DA 2025-01-10
ER

PT J
AU Shandiz, SC
   Rismanchi, B
   Foliente, G
   Aye, L
AF Shandiz, Saeid Charani
   Rismanchi, Behzad
   Foliente, Greg
   Aye, Lu
TI A model for energy master planning and resilience assessment of net-zero
   emissions community
SO SUSTAINABLE AND RESILIENT INFRASTRUCTURE
LA English
DT Article
DE Net-zero emissions community; energy master planning; resilience;
   performance-based decision-making; Monte carlo simulation; sustainable
   communities
ID DECISION-MAKING; SYSTEMS; TOOLS; OPERATION; DESIGN
AB New community-scale developments should address both greenhouse gas emissions mitigation and climate adaptation goals. This paper presents a systematic approach to energy master planning (EMP) of net-zero emissions communities via probabilistic analysis of the resilience and cost effectiveness of various energy provision portfolios (supply, conversion and storage) in early design stage. Applied in the EMP of a new university satellite campus, comprising of five buildings with mixed energy uses, both the 2050 net-zero emissions and the energy resilience objectives are met by an energy provision portfolio that consists of air source heat pumps for heating and cooling, and a combination of PV panels, purchased green power, standard (non-green) grid power, battery and thermal heat and cold storage tanks - with only a modest 6% increase in costs compared to a reference solution. The case project demonstrates the financial feasibility of a resilient energy system that also meets a net-zero emissions objective.
C1 [Shandiz, Saeid Charani; Rismanchi, Behzad; Foliente, Greg; Aye, Lu] Univ Melbourne, Fac Engn & Informat Technol, Dept Infrastructure Engn, Renewable Energy & Energy Efficiency Grp, Melbourne, Australia.
C3 University of Melbourne
RP Rismanchi, B (corresponding author), Univ Melbourne, Fac Engn & Informat Technol, Dept Infrastructure Engn, Renewable Energy & Energy Efficiency Grp, Melbourne, Australia.
EM brismanchi@unimelb.edu.au
RI Foliente, Greg/ABD-1712-2020; Foliente, Greg/B-9812-2009; Aye,
   Lu/J-8733-2013; Rismanchi, Behzad/B-5266-2010
OI Charani Shandiz, Saeid/0000-0002-1079-994X; Foliente,
   Greg/0000-0003-1968-4978; Aye, Lu/0000-0002-5495-1683; Rismanchi,
   Behzad/0000-0001-8805-1627
FU Melbourne Research Scholarship Award
FX The work was supported by Melbourne Research Scholarship Award.
CR Aboumahboub T, 2020, ENERGIES, V13, DOI 10.3390/en13153805
   Allegrini J, 2015, RENEW SUST ENERG REV, V52, P1391, DOI 10.1016/j.rser.2015.07.123
   [Anonymous], 2017, Technical Report
   [Anonymous], 2017, Absorption Chillers for CHP Systems
   [Anonymous], DEP IND SCI ENERGY R
   Atabay D., 2017, FICUS MIXED INTEGER
   Atabay D, 2017, ENERGY, V121, P803, DOI 10.1016/j.energy.2017.01.030
   Australian Building Codes Board, 2019, CLIM ZON MAP VICT
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Clean Energy Reviews, 2021, INDEPENDENT SOLAR RE
   Connolly D, 2010, APPL ENERG, V87, P1059, DOI 10.1016/j.apenergy.2009.09.026
   Foliente G. C., 2005, EUR 21988 ROTTERDAM, DOI [10.13140/2.1.3148.8643, DOI 10.13140/2.1.3148.8643]
   Foliente GC, 2000, FOREST PROD J, V50, P12
   Gan XY, 2017, ECOL INDIC, V81, P491, DOI 10.1016/j.ecolind.2017.05.068
   GHD, 2018, REP AUSTR EN MARK OP
   Graham P., 2019, Projections for small scale embedded energy technologies
   Graham P., 2020, GenCost 2019-20
   Graham P.W., 2018, GENCOST 2018
   Groissböck M, 2019, RENEW SUST ENERG REV, V102, P234, DOI 10.1016/j.rser.2018.11.020
   Haldar A., 2000, Reliability Assessment Using Stochastic Finite Element Analysis
   Huang ZS, 2015, RENEW SUST ENERG REV, V42, P1335, DOI 10.1016/j.rser.2014.11.042
   IEA, 2014, EN EFF COMM CAS STUD
   IEA ENERGY TECHNOLOGY SYSTEM ANALYSIS PROGRAMME, 2013, THERMAL ENERGY STORA
   International Renewable Energy Agency, 2020, INN OUTL THERM EN ST
   Jank R, 2017, ENERG BUILDINGS, V154, P529, DOI 10.1016/j.enbuild.2017.08.074
   Karunathilake H, 2019, RENEW ENERG, V130, P558, DOI 10.1016/j.renene.2018.06.086
   Lu Q, 2017, ENERGY, V125, P107, DOI 10.1016/j.energy.2017.02.082
   Ma TF, 2018, ENERGY, V160, P122, DOI 10.1016/j.energy.2018.06.198
   Mavromatidis G, 2018, RENEW SUST ENERG REV, V88, P258, DOI 10.1016/j.rser.2018.02.021
   Mehleri ED, 2013, RENEW ENERG, V51, P331, DOI 10.1016/j.renene.2012.09.009
   Mendes G, 2011, RENEW SUST ENERG REV, V15, P4836, DOI 10.1016/j.rser.2011.07.067
   Morvaj B, 2016, ENERGY, V116, P619, DOI 10.1016/j.energy.2016.09.139
   Natural Resources Canada RETScreen, 2023, RETSCREEN
   Obama B., 2020, PROMISE LAND
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Pohekar SD, 2004, RENEW SUST ENERG REV, V8, P365, DOI 10.1016/j.rser.2003.12.007
   Prasad RD, 2014, RENEW SUST ENERG REV, V38, P686, DOI 10.1016/j.rser.2014.07.021
   Ramboll, 2019, TECHNOLOGY DATABASE
   Rawlinsons Quantity Surveyors, 2020, Rawlinsons Australian Construction Handbook 2020
   Rockenbaugh C., 2016, HIGH PERFORMANCE SOL
   Roth K., 2006, ASHRAE J, V48
   Sameti M, 2018, ENERGY, V153, P575, DOI 10.1016/j.energy.2018.04.064
   Santillan MR, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12083860
   Shandiz SC, 2021, RENEW SUST ENERG REV, V137, DOI 10.1016/j.rser.2020.110600
   Shandiz SC, 2020, ENERGY, V203, DOI 10.1016/j.energy.2020.117856
   Shandiz Saeid Charani, 2022, Towards Resilient Net-Zero Emission Communities: A Multidimensional Approach for Energy Master Planning
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Solar Choice, 2021, AUSTRALIAS ONLY INST
   the University of Melbourne, 2021, FISHERMANS BEND CAMP
   Thermal Energy System Specialists, 2023, TRANSIENT SYSTEM SIM
   Vogt Y., 2003, Strateg. Plan. Energy Environ, V22, P64, DOI DOI 10.1080/10485230309509626
   Vugrin ED, 2010, SUSTAINABLE AND RESILIENT CRITICAL INFRASTRUCTURE SYSTEMS: SIMULATION, MODELING, AND INTELLIGENT ENGINEERING, P77, DOI 10.1007/978-3-642-11405-2_3
   Walker S, 2018, APPL ENERG, V228, P2346, DOI 10.1016/j.apenergy.2018.06.149
   Wouters C, 2015, ENERGY, V85, P30, DOI 10.1016/j.energy.2015.03.051
NR 54
TC 2
Z9 2
U1 2
U2 10
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 2378-9689
EI 2378-9697
J9 SUSTAIN RESIL INFRAS
JI Sustain. Resil. Infrastruct.
PD JUL 4
PY 2023
VL 8
IS 4
SI SI
BP 375
EP 399
DI 10.1080/23789689.2023.2175133
EA FEB 2023
PG 25
WC Engineering, Civil
WE Emerging Sources Citation Index (ESCI)
SC Engineering
GA J1NR2
UT WOS:000931021600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Singh-Peterson, L
AF Singh-Peterson, Lila
TI Transitions and Intersections between Communalism and Possessive
   Individualism in Rural Fiji: Repercussions for Responding to Climate
   Change
SO ASIA PACIFIC JOURNAL OF ANTHROPOLOGY
LA English
DT Article
DE Possessive Individualism; Climate Change; iTaukei Fijians; Community
   Resilience; Social Protection; Capitalism
ID ADAPTATION; RESILIENCE; VILLAGE; COMMUNITIES; PERSONHOOD; MODERNITY;
   WORLD
AB Indigenous Fijian traditions that are embedded within rural traditions of the vakavanua and the moral economy are often cited as exemplars of social protection and social resilience by the wider climate adaptation community. Recent ethnographic studies have, however, highlighted tensions created by the capitalist cash economy, which promotes individualism over other forms of engagement in the market. Accordingly, this article aims to examine these tensions to identify the consequences for responses to ongoing climate change, arguing that there are other forms of capitalism that blend components of the moral economy with capitalist cash economies. I have referred to these forms of sociality, marketisation, and capitalism as possessive communalism in recognition of the prioritising of sociocentric values and rural traditions of social protection. I argue that it is important for aid organisations and governmental programmes to recognise and support these diverse forms of capitalism that retain traditional values and practises.
C1 [Singh-Peterson, Lila] Univ Queensland, Sch Social Sci, Brisbane, QLD, Australia.
   [Singh-Peterson, Lila] Univ Southern Queensland, Sch Agr & Environm Sci, Brisbane, QLD, Australia.
   [Singh-Peterson, Lila] Univ Southern Queensland, Ctr Culture & Heritage, Brisbane, QLD, Australia.
C3 University of Queensland; University of Southern Queensland; University
   of Southern Queensland
RP Singh-Peterson, L (corresponding author), Univ Queensland, Sch Social Sci, Brisbane, QLD, Australia.; Singh-Peterson, L (corresponding author), Univ Southern Queensland, Sch Agr & Environm Sci, Brisbane, QLD, Australia.; Singh-Peterson, L (corresponding author), Univ Southern Queensland, Ctr Culture & Heritage, Brisbane, QLD, Australia.
EM l.singhpeterson@uq.edu.au
RI Singh-Peterson, Lila/IQS-7869-2023
OI Singh-Peterson, Lila/0000-0002-6095-9569
CR Abramson A, 1999, OCEANIA, V69, P260, DOI 10.1002/j.1834-4461.1999.tb00373.x
   [Anonymous], 2015, FIJI SUN ONLINE 1222
   Bainton NA, 2013, RES ECON ANTHROPOL, V33, P139, DOI 10.1108/S0190-1281(2013)0000033008
   Becker P, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122315
   Bourdieu Pierre, 1984, Distinction: A Social Critique of the Judgement of Taste
   Brison Karen., 2007, OUR WEALTH IS LOVING
   Brison KJ, 2003, ETHNOLOGY, V42, P335, DOI 10.2307/3773833
   Brison KJ, 2001, ETHOS, V29, P453, DOI 10.1525/eth.2001.29.4.453
   Campbell JR, 2014, CONTEMP PACIFIC, V26, P1
   Chamlee-Wright E, 2011, SOCIOL REV, V59, P266, DOI 10.1111/j.1467-954X.2011.02008.x
   Curry GN, 2012, AUST GEOGR, V43, P115, DOI 10.1080/00049182.2012.682291
   Cutter SL, 2014, GLOBAL ENVIRON CHANG, V29, P65, DOI 10.1016/j.gloenvcha.2014.08.005
   Davidson JL, 2016, ECOL SOC, V21, DOI 10.5751/ES-08450-210227
   Farrelly TrisiaAngela., 2013, Sites: A Journal of Social Anthropology and Cultural Studies, V10, P1, DOI DOI 10.11157/SITES-VOL10ISS2ID243
   Ferris E., 2011, Planned relocations, disasters and climate change. Prepared for the Gilbert + Tobin Centre of Public Law's conference on climate change and migration in the Asia-Pacific: Legal and policy response, P1
   Gibson-Graham JK, 2014, CURR ANTHROPOL, V55, pS147, DOI 10.1086/676646
   Hirsch E, 2007, ANTHROPOL FORUM, V17, P225, DOI 10.1080/00664670701637685
   iTaukei Land Trust Board, 2022, OWN RIGHTS
   Luetz J.M., 2020, Managing climate change adaptation in the Pacific region, P293, DOI 10.1007/978-3-030-40552-6_15
   MacPherson C.B., 1962, The Political Theory of Possessive Individualism: Hobbes to Locke
   Madraiwiwi R. J., 2006, PACIFIC FUTURES, P50
   Marks D, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-022-01884-5
   Martin K, 2007, ANTHROPOL FORUM, V17, P285, DOI 10.1080/00664670701637743
   McCormack F., 2013, INSIGHTS CAPITALISM
   Meo-Sewabu L, 2012, ALTERNATIVE, V8, P305, DOI 10.1177/117718011200800306
   Meo-Sewabu Litea, 2016, New Zealand Sociology, V31, P96
   Mills BJ, 2004, AM ANTHROPOL, V106, P238, DOI 10.1525/aa.2004.106.2.238
   Moser S, 2019, CLIMATIC CHANGE, V153, P21, DOI 10.1007/s10584-018-2358-0
   Mosko MS, 2013, RES ECON ANTHROPOL, V33, P167, DOI 10.1108/S0190-1281(2013)0000033009
   Movono A, 2018, J SUSTAIN TOUR, V26, P451, DOI 10.1080/09669582.2017.1359280
   Movono A, 2018, ASIA PAC J TOUR RES, V23, P146, DOI 10.1080/10941665.2017.1410194
   Nunn PD, 2014, REG ENVIRON CHANGE, V14, P221, DOI 10.1007/s10113-013-0486-7
   OVERTON J, 1993, CONTEMP PACIFIC, V5, P45
   Overton J., 1999, Asia Pacific Viewpoint, V40, P173, DOI DOI 10.1111/APV.1999.40.ISSUE-2
   Presterudstuen, 2016, ANTHR VALUE CULTURES, P93
   Ravuvu A., 1987, FIJIAN ETHOS FIJIAN
   Ravuvu Asesela., 1983, VAKA TAUKEI FIJIAN W
   Robbins J, 2007, ANTHROPOL FORUM, V17, P299, DOI 10.1080/00664670701637750
   RUTZ HJ, 1987, COMP STUD SOC HIST, V29, P533, DOI 10.1017/S0010417500014717
   SAHLINS M, 1993, AM ETHNOL, V20, P848, DOI 10.1525/ae.1993.20.4.02a00100
   SAHLINS M, 1993, J MOD HIST, V65, P1, DOI 10.1086/244606
   Singh-Peterson L, 2018, J RURAL STUD, V60, P11, DOI 10.1016/j.jrurstud.2018.03.001
   Singh-Peterson L, 2017, COMMUNITY DEV, V48, P124, DOI 10.1080/15575330.2016.1250103
   Slatter C., 2006, Globalisation and governance in the Pacific Islands, P23
   Slatter C, 2019, PACIFIC SERIES, P153
   Strathern A, 1998, OCEANIA, V68, P170, DOI 10.1002/j.1834-4461.1998.tb02664.x
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Sykes K, 2007, ANTHROPOL FORUM, V17, P213, DOI 10.1080/00664670701637669
   Sykes K, 2007, ANTHROPOL FORUM, V17, P255, DOI 10.1080/00664670701637727
   Tomlinson M, 2008, CONTEMP PACIFIC, V20, P495
   Trundle A, 2019, ENVIRON URBAN, V31, P53, DOI 10.1177/0956247818816654
   Walshe RA, 2018, INT J CLIM CHANG STR, V10, P303, DOI 10.1108/IJCCSM-03-2017-0060
   Were G, 2007, ANTHROPOL FORUM, V17, P239, DOI 10.1080/00664670701637701
   Yila O, 2013, COMM ENV DISAST RISK, V14, P79, DOI 10.1108/S2040-7262(2013)0000014010
NR 54
TC 1
Z9 1
U1 1
U2 2
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1444-2213
EI 1740-9314
J9 ASIA PAC J ANTHROPOL
JI Asia Pac. J. Anthropol.
PD MAR 15
PY 2023
VL 24
IS 2
BP 116
EP 133
DI 10.1080/14442213.2022.2146739
EA FEB 2023
PG 18
WC Anthropology
WE Social Science Citation Index (SSCI)
SC Anthropology
GA A2BG3
UT WOS:000932257100001
DA 2025-01-10
ER

PT J
AU Vaughn, SE
AF Vaughn, Sarah E.
TI Gridlock: Vigilance and early warning in the shadow of climate change
SO HAU-JOURNAL OF ETHNOGRAPHIC THEORY
LA English
DT Article
DE climate change; adaptation; vigilance; gridlock; duration
ID ANTICIPATION; RESOURCES; TIME
AB This article examines how Guyana's storm early warning system shapes political imaginaries of climate adaptation. Specifically, it focuses on the reactions people have to the forms of gridlock that can make intense flooding, and climate change more generally, feel like an insurmountable problem. As I detail throughout this article, gridlock is an object of intervention in the development, maintenance, and operations of the storm early warning system. The management of gridlock is synonymous with aspirations to make more consistent institutional arrangements of vigilance. But Civil Defense Commission staff and village residents run into difficulties making enhancements because gridlock unfolds across multiple historical tenses. That is, as they implement the storm early warning system, gridlock reveals itself as a product of past and ongoing governmental practices that permeate the present in ways that shape uncertainty about the future. In this respect, this article extends conversations in anthropological scholarship on anticipation around the different configurations of political time within contexts of climate change/risk and governance.
C1 [Vaughn, Sarah E.] Univ Calif Berkeley, Dept Anthropol, Berkeley, CA 94720 USA.
C3 University of California System; University of California Berkeley
RP Vaughn, SE (corresponding author), Univ Calif Berkeley, Dept Anthropol, Berkeley, CA 94720 USA.
EM sev83@berkeley.edu
CR Adams V, 2009, SUBJECTIVITY, V28, P246, DOI 10.1057/sub.2009.18
   Agamben Giorgio., 2000, POTENTIALITIES COLLE
   Ahmad, 2019, PENGUIN BOOK MIGRATI, pxv, DOI DOI 10.1016/B978-0-12-815881-4.00017-2
   Akpinar-Elci M, 2018, MAR TECHNOL SOC J, V52, P18, DOI 10.4031/MTSJ.52.2.3
   Alcántara-Ayala I, 2019, INT J DISAST RISK SC, V10, P317, DOI 10.1007/s13753-019-00231-3
   Anand Nikhil., 2017, HYDRAULIC CITY WATER
   [Anonymous], 2014, Mohawk interruptions: Political life across the borders of settler states
   [Anonymous], 2014, Can science fix climate change? A case against climate engineering
   Appadurai Arjun., 2013, The Future as a Cultural Fact: Essays on the Global Condition
   Barnes Jessica., 2014, Cultivating the Nile: The Every day Politics of Water in Egypt
   Bear L, 2016, ANNU REV ANTHROPOL, V45, P487, DOI 10.1146/annurev-anthro-102313-030159
   Beck U.C., 2008, WORLD RISK
   Blommestein Erik., 2005, GUYANA SOCIO EC ASSE
   Bulkan Arif, 2019, POLITICS SOC EC GUYA, P1
   Bulkan Janette., 2016, The Caribbean: Aesthetics, World-Ecology, Politics, P118
   Carr S, 2009, AM ETHNOL, V36, P317, DOI 10.1111/j.1548-1425.2009.01137.x
   Chatterjee P, 2014, COMP STUD SOUTH ASIA, V34, P224, DOI 10.1215/1089201x-2773803
   Civil Defence Commission (CDC), EARLY WARNING SYSTEM
   Clarke KM, 2019, AFFECTIVE JUSTICE, P217
   Collier SJ, 2015, THEOR CULT SOC, V32, P19, DOI 10.1177/0263276413510050
   Cons J, 2018, CULT ANTHROPOL, V33, P266, DOI 10.14506/ca33.2.08
   Das Veena., 2000, Violence and Subjectivity: Violence, Political Agency and Self, P205
   Fortun K, 2014, HAU-J ETHNOGR THEORY, V4, P309, DOI 10.14318/hau4.1.017
   Griffith IL, 1997, THIRD WORLD Q, V18, P267
   Grosz E., 2005, PARALLAX, V11, P4, DOI [DOI 10.1080/13534640500058434, 10.1080/13534640500058434]
   Haines S, 2019, SCI TECHNOL STUD, V32, P97
   Hetherington Kregg., 2011, Guerrilla Auditors: The Politics of Transparency in Neoliberal Paraguay
   Hintzen PercyC., 2006, The Costs of Regime Survival: Racial Mobilization, Elite Domination, and Control of the State in Guyana and Trinidad
   Martin M., 2020, COMPASS 20 P 3 ACM S, DOI [10.1145/3378393.3402262, DOI 10.1145/3378393.3402262]
   Masco Masco Joseph. Joseph., 2020, The Future of Fallout, and Other Episodes in Radioactive World-Making
   Mattingly C, 2019, CAMB J ANTHROPOL, V37, P17, DOI 10.3167/cja.2019.370103
   Merry Sally Engle, 2016, SEDUCTION QUANTIFICA
   Molé NJ, 2010, AM ANTHROPOL, V112, P38, DOI 10.1111/j.1548-1433.2009.01195.x
   Narayan K, 2006, IAHS-AISH P, V308, P413
   Nielsen M, 2011, ANTHROPOL THEOR, V11, P397, DOI 10.1177/1463499611423871
   Nixon Rob, 2013, SLOW VIOLENCE ENV PO
   Oreskes Naomi., 2014, The Collapse of Western Civilization: A View from the Future
   Palmer CA, 2010, CHEDDI JAGAN AND THE POLITICS OF POWER: BRITISH GUIANA'S STRUGGLE FOR INDEPENDENCE, P1
   Pelling M, 1999, GEOFORUM, V30, P249, DOI 10.1016/S0016-7185(99)00015-9
   Petryna Adriana., 2015, Modes of Uncertainty: Anthropological Cases, P147
   Prigogine I, 2018, Order Out of Chaos: Mans New Dialogue with Nature
   Rabe SG, 2005, NEW COLD WAR HIST, P1
   Ramkarran H.N., 2004, GA J INT COMP L, V32, P585
   Redfield P, 2013, LIFE IN CRISIS: THE ETHICAL JOURNEY OF DOCTORS WITHOUT BORDERS, P1
   Riles A., 2006, Documents: Artifacts of Modern Knowledge
   Rodney W., 1981, HIST GUYANESE WORKIN
   Spivak GayatriChakravorty., 2005, Death of a Discipline
   Stoler AL, 2008, CULT ANTHROPOL, V23, P191, DOI 10.1111/j.1548-1360.2008.00007.x
   Suseran Leo Jameson, 2009, KAIETEUR NEWS 1102
   Taussig KS, 2013, CURR ANTHROPOL, V54, pS3, DOI 10.1086/671401
   Thomas CliveY., 1984, PLANTATIONS PEASANTS
   Trotz DA, 2010, INTERVENTIONS-UK, V12, P112, DOI 10.1080/13698010903553385
   Tsing AL, 2005, FRICTION: AN ETHNOGRAPHY OF GLOBAL CONNECTION, P1
   Vaughn SE, 2017, CULT ANTHROPOL, V32, P242, DOI 10.14506/ca32.2.07
   Vaughn Sarah E., 2020, THEORIZING CONT
   Velasco Marco A., 2014, PROGR CHALLENGES DIS
   Vigh H, 2011, SOC ANAL, V55, P93, DOI 10.3167/sa.2011.550306
   Wieviorka Annette., 2006, ERA WITNESS
NR 58
TC 2
Z9 2
U1 0
U2 3
PU UNIV CHICAGO PRESS
PI CHICAGO
PA 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA
SN 2575-1433
EI 2049-1115
J9 HAU-J ETHNOGR THEORY
JI HAU-J. Ethnogr. Theory
PD SEP 1
PY 2021
VL 11
IS 2
BP 506
EP 520
DI 10.1086/715847
PG 15
WC Anthropology
WE Social Science Citation Index (SSCI)
SC Anthropology
GA ZB9NY
UT WOS:000757161100010
DA 2025-01-10
ER

PT J
AU Keenan, JM
   Hauer, ME
AF Keenan, Jesse M.
   Hauer, Mathew E.
TI Resilience for whom? Demographic change and the redevelopment of the
   built environment in Puerto Rico
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE Puerto Rico; demography; resilience; climate adaptation; recovery; built
   environment
ID HURRICANE MARIA; POPULATION; FERTILITY; AGE
AB As Puerto Rico ('PR') makes long-term investments in the reconstruction of its built environment following Hurricanes Maria and Irma, a fundamental research question remains unanswered: who will benefit from these recovery and resilience efforts? The article presents 30-year demographic projections (2017-2047) that show current fiscal and infrastructure planning efforts overestimate the size and composition of the future PR populations who may be the direct and indirect beneficiaries of post-Hurricane recovery and resilience investments in the built environment. Our projections suggest long-term projected depopulation are inconsistently applied in the fiscal and infrastructure planning, shaping both recovery and resilience efforts. As PR moves forward with long-term plans and capital investments, consistently deployed, long-range population projections are critical for determining the optimal stewardship of public resources and as a check on the construction of a built environment that might be beyond the sustainable capacity of PR to utilize, maintain, and pay for.
C1 [Keenan, Jesse M.] Tulane Univ, Sch Architecture, Mem Hall,6823 St Charles Ave, Richardson, LA 70118 USA.
   [Hauer, Mathew E.] Florida State Univ, Dept Sociol, Ctr Demog & Populat Hlth, Tallahassee, FL 32306 USA.
C3 Tulane University; State University System of Florida; Florida State
   University
RP Keenan, JM (corresponding author), Tulane Univ, Sch Architecture, Mem Hall,6823 St Charles Ave, Richardson, LA 70118 USA.
EM jkeenan@tulane.edu
OI Hauer, Mathew/0000-0001-9390-5308; Keenan, Jesse/0000-0003-4058-1682
FU RAND Corporation
FX The demographic modeling portion of this research was supported by a
   Research Subcontract Agreement with the RAND Corporation. All other
   portions of this research were advanced without external research
   funding.
CR Alderson DL, 2015, RISK ANAL, V35, P562, DOI 10.1111/risa.12333
   Alexander M, 2019, POPUL DEV REV, V45, P617, DOI 10.1111/padr.12289
   Brown P, 2018, ENVIRON JUSTICE, V11, P148, DOI 10.1089/env.2018.0003
   Bundhoo ZMA, 2018, UTIL POLICY, V55, P41, DOI 10.1016/j.jup.2018.09.005
   Caswell Hal, 2001, pi
   Central Office for Recovery Reconstruction and Resilience (COR) Governor of Puerto Rico, 2019, GRID MOD PLAN PUERT
   Central Office for Recovery Reconstruction and Resilience (COR) Governor of Puerto Rico, 2018, TRANSF INN WAK DEV E
   Central Office for Recovery Reconstruction and Resilience (COR) Governor of Puerto Rico, 2018, PREL DRAFT PUBL COMM
   Central Office for Recovery Reconstruction and Resilience (COR) Governor of Puerto Rico, 2019, FEMA NAT WORKFL MOD
   Clifford N.J., 2016, KEY METHODS GEOGRAPH
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Davis J, 2017, POPUL ENVIRON, V38, P448, DOI 10.1007/s11111-017-0271-5
   Department of Housing (DOH) Commonwealth of Puerto Rico, 2019, PUERT RIC DIS REC AC
   Dolan J, 2018, DELAWARE J CORPORATE, V43, P347
   Federal Emergency Management Agency (FEMA), 2020, FP1040092 FEMA US DE
   Federal Emergency Management Agency (FEMA), 2019, FEMA4339DRPR US DEP
   Federal Reserve Bank of New York (FRBNY), 2018, PUERT RIC POSTM 12 M
   Financial Oversight and Management Board for Puerto Rico (FOMB), 2018, FIN INV REP
   Government Accountability Office (GAO), 2019, PUERT RIC HURR STAT
   Grzadkowska A, 2018, INSURANCE BUSINESS M
   HAMILTON CH, 1962, SOC FORCES, V41, P163, DOI 10.2307/2573607
   Hauer ME, 2020, DEMOGRAPHY, V57, P221, DOI 10.1007/s13524-019-00842-x
   Hauer ME, 2019, SCI DATA, V6, DOI 10.1038/sdata.2019.5
   Herrera DA, 2018, GEOPHYS RES LETT, V45, P10619, DOI 10.1029/2018GL079408
   Hinojosa Jennifer., 2018, CENTRO J, V30, P230
   Keellings D, 2019, GEOPHYS RES LETT, V46, P2964, DOI 10.1029/2019GL082077
   Kishore N, 2018, NEW ENGL J MED, V379, P162, DOI [10.1056/nejmsa1803972, 10.1056/NEJMsa1803972]
   Klein Naomi., 2018, The Battle for Paradise: Puerto Rico Takes on the Disaster Capitalists
   Knutson T, 2019, B AM METEOROL SOC, V100, P1987, DOI 10.1175/BAMS-D-18-0189.1
   Levin J, 2018, BLOOMBERG BUSINESSWE
   Lugo AE, 2018, Social-ecological-technological effects of Hurricane Maria on Puerto Rico: Planning for resilience under extreme events
   Melendez E, 2017, RB201701 HUNT COLL C
   Meng T., 2018, Colum. Bus. Skeel, V87, P862, DOI [10.7916/cblr.v2019i1.1696, DOI 10.7916/CBLR.V2019I1.1696]
   Mora M.T., 2017, Population, migration, and socioeconomic outcomes among island and mainland Puerto Ricans: La crisis Boricua
   Office of Cybersecurity Energy Security and Emergency Response U.S Department of Energy (OCESER), 2017, HURR NAT MAR IRM HAR
   Opdyke A, 2017, NAT HAZARDS, V87, P773, DOI 10.1007/s11069-017-2792-8
   Painter W L, 2018, R45084 C RES SERV
   Pérez C, 2017, J AGING HEALTH, V29, P1056, DOI 10.1177/0898264317714144
   Puerto Rico Aqueduct and Sewer Authority (PRASA), 2018, REV FISC PLAN PRASA
   Puerto Rico Aqueduct and Sewer Authority (PRASA), 2019, REV FISC PLAN PRASA
   Puerto Rico Fiscal Agency and Financial Advisory Authority (PRFA), 2019, REV FISC PLAN PUERT
   Puerto Rico Highways and Transportation Authority (PRHTA), 2018, 2045 PUERT RIC LONG
   Puerto Rico Highways and Transportation Authority (PRHTA), 2019, HTA REV FISC PLAN 20
   Saja AMA, 2018, INT J DISAST RISK RE, V28, P862, DOI 10.1016/j.ijdrr.2018.02.004
   Santos-Lozada AR, 2019, AM J PUBLIC HEALTH, V109, pE23, DOI 10.2105/AJPH.2019.305335
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Siemens Power Technologies International (Siemens), 2019, RPT01519 SEIM IND IN
   Silverman D., 2016, QUAL RES
   Swanson DA, 2010, POPUL RES POLICY REV, V29, P47, DOI 10.1007/s11113-009-9144-7
   US Department of Housing and Urban Development (HUD), 2018, HOUS DAM ASS REC STR
   van den Berg HJ, 2019, ENVIRON SCI POLICY, V94, P90, DOI 10.1016/j.envsci.2018.12.015
   van der Elst N. J, 2020, 20201009 US GEOL SUR
   Wolfe A, 2018, DECLARATION A WOLFE
   Wu SS, 2013, POPUL ENVIRON, V35, P113, DOI 10.1007/s11111-013-0188-6
NR 54
TC 10
Z9 14
U1 2
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 JUL
PY 2020
VL 15
IS 7
AR 074028
DI 10.1088/1748-9326/ab92c2
PG 10
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA MJ8UJ
UT WOS:000548362800001
OA gold
DA 2025-01-10
ER

PT J
AU Yoon, J
AF Yoon, Jungwon
TI Design-to-fabrication with thermo-responsive shape memory polymer
   applications for building skins
SO ARCHITECTURAL SCIENCE REVIEW
LA English
DT Article
DE Climate-adaptive; thermo-responsive; shape memory polymer (SMP);
   building skin; shading; fabrication
ID COMPOSITES; ENVELOPES
AB Smart materials are studied for climate-responsive building skins due to internal changeable properties stimulated by material-specific input. This research focuses on shape memory polymer (SMP) and temperature as its activating stimulus for dynamic shading devices with mechanisms of opening and closing. From case-studies, four design strategies are presented in this paper. Design research and 3D printing fabrication tests of SMP prototypes were conducted by the research-through-design approach. Prototypes were comparatively analyzed for development and optimization in architectural applications. It is challenging to train permanent shapes, to program temporary shapes and to design repetitive material behaviours. Measures to achieve reversible reiterative shape-changing materials are required for practical implementation. For further design-fabrication research on the actual temperature and the material behaviours of designed elements, the SMP with glass transition at 35 degrees C was applied. Later, it would be necessary to simulate the environmental effects and validate the performance of thermo-responsive SMP building skins.
C1 [Yoon, Jungwon] Univ Seoul, Dept Architecture, Seoul 02504, South Korea.
C3 University of Seoul
RP Yoon, J (corresponding author), Univ Seoul, Dept Architecture, Seoul 02504, South Korea.
EM jwyoon@uos.ac.kr
FU Basic Science Research Program through the National Research Foundation
   of Korea (NRF) - Ministry of Science, ICT and Future Planning
   [NRF-2017R1C1B5015080]
FX This work was supported by Basic Science Research Program through the
   National Research Foundation of Korea (NRF) funded by the Ministry of
   Science, ICT and Future Planning: [grant number NRF-2017R1C1B5015080].
CR Addington M., 2005, Smart materials and new technologies: For the architecture and design professions
   Adriaenssens S, 2014, ENERGIES, V7, P5201, DOI 10.3390/en7085201
   Aksamija A, 2016, INTEGRATING INNOVATION IN ARCHITECTURE: DESIGN, METHODS AND TECHNOLOGY FOR PROGRESSIVE PRACTICE AND RESEARCH, P20
   Al-Masrani SM, 2018, SOL ENERGY, V170, P849, DOI 10.1016/j.solener.2018.04.047
   Al-Obaidi KM, 2017, RENEW SUST ENERG REV, V79, P1472, DOI 10.1016/j.rser.2017.05.028
   [Anonymous], P ECEEE SUMM STUD 20
   Arun DI, 2018, SHAPE MEMORY MATERIALS, P41
   Bang A.L., 2012, The Art of Research 2012: Making, Reflecting and understanding, P1
   Bengisu M, 2018, SPRINGERBR APPL SCI, P65, DOI 10.1007/978-3-319-76889-2_5
   Beuscher J, 2019, 2019 POWERSKIN C P, P159
   Nguyen BVD, 2018, COMPUTING FOR A BETTER TOMORROW, (ECAADE 2018), VOL 2, P391
   Bodaghi M, 2017, MATER DESIGN, V135, P26, DOI 10.1016/j.matdes.2017.08.069
   BOLDINI A, 2017, 12 C ADV BUILD SKINS, P00740
   Brownell B.E., 2015, Hypernatural: Architecture's New Relationship with Nature
   Brownell BE., 2017, TRANSMATERIAL NEXT C, V1st Ed
   Capeluto G, 2019, ARCHIT SCI REV, V62, P216, DOI 10.1080/00038628.2019.1574707
   Chen T, 2018, 3D PRINT ADDIT MANUF, V5, P91, DOI 10.1089/3dp.2017.0118
   Clifford Dale., 2017, Wilen: Advanced Building Skins GmbH, P171
   Coelho M, 2011, PERS UBIQUIT COMPUT, V15, P161, DOI 10.1007/s00779-010-0311-y
   Decker M., 2013, C TECT TEACH BUILD T
   Decker M, 2016, ARCHIT DESIGN, V86, P82, DOI 10.1002/ad.2005
   Ding Z, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602890
   Elzeyadi I., 2016, PLEA Cities, Buildings, People: Towards Regenerative Environments, Proceedings, P1023
   Fecheyr-Lippens D, 2017, ARCHIT SCI REV, V60, P360, DOI 10.1080/00038628.2017.1359145
   Fernandez-Galiano L., 2013, Architecture and Energy Performance and Style, P25
   Fiorito F, 2016, RENEW SUST ENERG REV, V55, P863, DOI 10.1016/j.rser.2015.10.086
   Foged IW, 2015, ECAADE 2015: REAL TIME - EXTENDING THE REACH OF COMPUTATION, VOL 2, P449
   Formentini M, 2018, AUTOMAT CONSTR, V85, P220, DOI 10.1016/j.autcon.2017.10.006
   Gall K, 2002, ACTA MATER, V50, P5115, DOI 10.1016/S1359-6454(02)00368-3
   Ge Q, 2016, SCI REP-UK, V6, DOI 10.1038/srep31110
   Giberti H, 2017, MACHINES, V5, DOI 10.3390/machines5040029
   GONZALEZ N, 2015, SELF ADAPTIVE MEMBRA
   Hensel M., 2010, FORMakademisk, V3, P36, DOI [DOI 10.7577/FORMAKADEMISK.138, 10.7577/formakademisk.138 10.7577/formakademisk.138]
   Holstov A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9030435
   Holstov A, 2015, CONSTR BUILD MATER, V98, P570, DOI 10.1016/j.conbuildmat.2015.08.136
   Khoo CK, 2011, INT J ARCHIT COMPUT, V9, P397, DOI 10.1260/1478-0771.9.4.397
   Klooster Thorsten., 2009, Smart Surfaces and their Application in Architecture and Design
   Knaack U., 2008, FUTURE ENVELOPE 1 MU
   Kolarevic B, 2015, ARCHIT DESIGN, V85, P128, DOI 10.1002/ad.1965
   Kolarevic Branko., 2015, BUILDING DYNAMICS EX
   Le Duigou A, 2016, MATER DESIGN, V96, P106, DOI 10.1016/j.matdes.2016.02.018
   Leng JS, 2011, PROG MATER SCI, V56, P1077, DOI 10.1016/j.pmatsci.2011.03.001
   Loonen RCGM, 2013, RENEW SUST ENERG REV, V25, P483, DOI 10.1016/j.rser.2013.04.016
   Lopez M., 2015, J. Facade Des. Eng, V3, P27, DOI DOI 10.3233/FDE-150026
   Mao YQ, 2015, SCI REP-UK, V5, DOI 10.1038/srep13616
   Marysse C., 2015, Structural Adaptive Facades
   Mazzoleni I, 2013, BIOMIMETIC SER, P1, DOI 10.1201/b14573
   Menges A, 2012, ARCHIT DESIGN, V82, P52, DOI 10.1002/ad.1379
   MOKHTAR S, 2017, SIMAUD 2016 S SIM AR, P00211
   Ning X, 2018, ADV MATER INTERFACES, V5, DOI 10.1002/admi.201800284
   Pesenti M, 2015, ENRGY PROCED, V70, P661, DOI 10.1016/j.egypro.2015.02.174
   Premier A, 2013, SABIED INTEGR IZGL, P133
   Ratna D, 2008, J MATER SCI, V43, P254, DOI 10.1007/s10853-007-2176-7
   Reichert S, 2015, COMPUT AIDED DESIGN, V60, P50, DOI 10.1016/j.cad.2014.02.010
   Ren LQ, 2019, COMPOS PART B-ENG, V164, P458, DOI 10.1016/j.compositesb.2019.01.061
   Ritter A., 2007, Smart materials in architecture, interior architecture and design
   Sandak A., 2019, BIOBASED BUILDING SK, P183, DOI DOI 10.1007/978-981-13-3747-5
   Sarakinioti M.V., 2018, Journal of Facade Design and Engineering, V6, P29, DOI [10.7480/jfde.2018.2.2081, DOI 10.7480/JFDE.2018.2.2081]
   Schmitt F, 2018, FRONT ROBOT AI, V5, DOI 10.3389/frobt.2018.00084
   Shahin HSM, 2019, ALEX ENG J, V58, P345, DOI 10.1016/j.aej.2018.11.013
   Sharaidin K., 2014, Kinetic facades: towards design for environmental performance
   Strauss H., 2015, J. Facade Des. Eng., V3, P225, DOI [10.3233/FDE-150042, DOI 10.3233/FDE-150042]
   Sung D, 2016, J ARCHIT EDUC, V70, P96, DOI 10.1080/10464883.2016.1122479
   Tibbits S, 2017, ARCHIT DESIGN, V87, P6, DOI 10.1002/ad.2189
   Tibbits S, 2014, ARCHIT DESIGN, V84, P116, DOI 10.1002/ad.1710
   Wang J., 2012, World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen, V5, P4022
   Wood D, 2018, CONSTR BUILD MATER, V165, P782, DOI 10.1016/j.conbuildmat.2017.12.134
   Yoon J., 2019, J. Facade Des. Eng, V7, P41, DOI [10.7480/jfde.2019.1.2662, DOI 10.7480/JFDE.2019.1.2662]
   Zhao Q, 2015, PROG POLYM SCI, V49-50, P79, DOI 10.1016/j.progpolymsci.2015.04.001
   [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 87
TC 21
Z9 21
U1 3
U2 28
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0003-8628
EI 1758-9622
J9 ARCHIT SCI REV
JI Archit. Sci. Rev.
PD MAR 4
PY 2021
VL 64
IS 1-2
SI SI
BP 72
EP 86
DI 10.1080/00038628.2020.1742644
EA MAR 2020
PG 15
WC Architecture
WE Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Architecture
GA RE3VB
UT WOS:000524592400001
DA 2025-01-10
ER

PT J
AU Labonnote, N
   Hauge, ÅL
   Sivertsen, E
AF Labonnote, Nathalie
   Hauge, Ashild Lappegard
   Sivertsen, Edvard
TI A climate services perspective on Norwegian stormwater-related databases
SO CLIMATE SERVICES
LA English
DT Article
DE Climate adaptation; Climate services; Databases; Stormwater management;
   Flooding damage databases
ID DAMAGE; FLOOD; SCIENCE
AB Floods and stormwater events are the costliest natural catastrophes. Costs are expected to increase due to urbanization and climate change. Mitigation is needed. Different stakeholders with different motivations unfortunately often evaluate vulnerability by using fragmented and incomplete data sources. This paper intends to review the different approaches for collecting and analyzing data, and to evaluate their usefulness within the proposed framework for a smart use of data. The objectives of this work have been to review qualitatively and quantitatively a selection of Norwegian stormwater-related databases and to propose measures for improvement. The findings are seen according to the climate services literature and show that that data is spread around a heterogeneous community of stakeholders concerned with different motivations, different needs, and different levels of data processing. In general, the needs of the different stakeholders have not been surveyed and defined systematically enough and there is a substantial potential in upgrading from the delivery of passive raw data to the delivery of knowledge-driven decision-support tools.
C1 [Labonnote, Nathalie; Hauge, Ashild Lappegard; Sivertsen, Edvard] SINTEF Bldg & Infrastruct, POB 4760 Sluppen, NO-7465 Trondheim, Norway.
C3 SINTEF
RP Labonnote, N (corresponding author), SINTEF Bldg & Infrastruct, POB 4760 Sluppen, NO-7465 Trondheim, Norway.
EM nathalie.labonnote@sintef.no
RI Hauge, Åshild Lappegard/HMD-2795-2023
OI Labonnote, Nathalie/0000-0001-6790-4109; Hauge, Ashild
   Lappegard/0000-0003-1607-3354
FU Norwegian Research Council SFI grant program [237859/030]
FX The study presented in this paper was conducted within the general
   framework of Klima 2050 Risk reduction through climate adaptation of
   buildings and infrastructure. Klima 2050 is a Norwegian Centre for
   Research-based Innovation with 20 partners from public, private,
   research and educational sectors (www.klima2050.no).The aim of the
   centre is to reduce the societal risks associated with climate changes,
   most notably enhanced precipitation and floodwater exposure within the
   built environment. The research was funded through the Norwegian
   Research Council SFI grant program (grant number 237859/030).
CR [Anonymous], 2015, INFR NOV IND ID CRIT
   [Anonymous], 2009, INF DEC CHANG CLIM, DOI DOI 10.17226/12626
   [Anonymous], 2012, FLOOD RECOVERY INNOV
   [Anonymous], 2016, Climate Services, DOI DOI 10.1016/J.CLISER.2016.02.002
   Arnbjerg-Nielsen K, 2013, WATER SCI TECHNOL, V68, P16, DOI 10.2166/wst.2013.251
   Aston University, 2013, DIS 2 0
   Australian Government, 2011, AUSTR FLOOD STUD DAT
   Bernet DB, 2017, NAT HAZARD EARTH SYS, V17, P1659, DOI 10.5194/nhess-17-1659-2017
   Brevik Ragnar, 2014, PILOTPROSJEKT TESTIN
   Buttigieg Pier Luigi, 2015, DAT MIN WORKSH TROND
   Cigler Beverly, 2017, US FLOODS NECESSITY
   Clayton S, 2016, AM PSYCHOL, V71, P199, DOI 10.1037/a0039482
   Council National Research, 1999, IMP NAT DIS FRAM LOS
   Dama United Kingdom, 2013, 6 PRIM DIM DAT QUAL
   Downton M. W., 2005, Natural Hazards Review, V6, P13, DOI 10.1061/(ASCE)1527-6988(2005)6:1(13)
   Ehrlich Daniele, 2017, TECHNICAL RECOMMENDA
   Elmer F, 2010, RISK ANAL, V30, P107, DOI 10.1111/j.1539-6924.2009.01325.x
   Elmer Florian, 2012, IMPROVING FLOOD DAMA
   ESRI, 2016, GIS WORKS
   Fossestol Knut, 2014, MINISTUDY COORDINATI
   Goosen H, 2014, REG ENVIRON CHANGE, V14, P1035, DOI 10.1007/s10113-013-0513-8
   Hauge, 2017, CLIM SERV, V1, P23, DOI DOI 10.1016/J.CLISER.2017.06.009
   HENRY NL, 1974, PUBLIC ADMIN REV, V34, P189, DOI 10.2307/974902
   Hilker N, 2009, NAT HAZARD EARTH SYS, V9, P913, DOI 10.5194/nhess-9-913-2009
   Holte Kjersti, 2010, USE COLLECTION DATA
   Hygen H-O., 2016, 4 NORD C CLIM CHANG
   Klockner C.A., 2015, PSYCHOL PROENVIRONME
   Kreibich Heidi, 2017, HOWAS21 GERMAN FLOOD
   Kuziemsky C.E., 2014, ISCRAM 2014 C P 11 I, P165
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lucio F.D. F., 2016, Climate Services, V2-3, P52, DOI [10.1016/j.cliser.2016.09.001, DOI 10.1016/J.CLISER.2016.09.001]
   Masud L, 2010, IEEE INT CONF INF VI, P445, DOI 10.1109/IV.2010.68
   McNie EC, 2013, WEATHER CLIM SOC, V5, P14, DOI 10.1175/WCAS-D-11-00034.1
   Messner F., 2006, GUIDELINES SOCIOECON
   Meteorologisk institutt, 2015, HAL BRUK
   Mosley M., 2010, DAMA guide to the data management body of knowledge (DAMA-DMBOK Guide), V1st
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   Rudari Roberto, 2017, FLOOD DAMAGE SURVEY
   Scheuer S, 2013, COMPUT ENVIRON URBAN, V37, P82, DOI 10.1016/j.compenvurbsys.2012.07.007
   Serje Julio, 2017, FLOOD DAMAGE SURVEY
   Skaaraas H., 2015, OVERVANN BYER TETTST
   Sorteberg A., 2015, NORSK KLIMASERVICESE
   Stoknes PE., 2015, What we think about when we try not to think about global warming: Toward a New Psychology of Climate Action
   Sussman R, 2013, ENVIRON BEHAV, V45, P323, DOI 10.1177/0013916511431274
   Swart R., 2016, 4 NORD C CLIM CHANG
   Swart R. J., 2017, Climate Services, V6, P12, DOI 10.1016/j.cliser.2017.06.008
   Tajfel H., 2010, SOCIAL IDENTITY INTE
   The Centre for Neighborhood Technology, 2014, COST URB FLOOD CAS S
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Westfall Linda, 2013, STEPS USEFUL SOFTWAR
NR 50
TC 1
Z9 1
U1 0
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD JAN
PY 2019
VL 13
BP 33
EP 41
DI 10.1016/j.cliser.2019.01.006
PG 9
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 OG6TQ
UT WOS:000582014500004
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Lebeza, TM
   Gashaw, T
   Bayabil, HK
   van Oel, PR
   Worqlul, AW
   Dile, YT
   Chukalla, AD
AF Lebeza, Tadele Melese
   Gashaw, Temesgen
   Bayabil, Haimanote Kebede
   van Oel, Pieter R.
   Worqlul, Abeyou W.
   Dile, Yihun T.
   Chukalla, Abebe Demissie
TI Performance of specific CMIP6 GCMs for simulating the historical
   rainfall and temperature climatology of Lake Tana sub-basin, Ethiopia
SO SCIENTIFIC AFRICAN
LA English
DT Article
DE Evaluation; Uncertainty analysis; Climate models; Comprehensive rating
   index; Taylor diagram
AB This study aims to evaluate the performance of 7 rainfall and 6 temperature products from the Coupled Model Intercomparison Project phase 6 (CMIP6) Global climate models (GCMs) for simulating the rainfall, maximum temperature (Tmax), and minimum temperature (Tmin) climatology of the Lake Tana sub-basin (Ethiopia) during 1995 - 2014 periods from daily to annual time scales. The rational of this study is to identify the best performing GCMs for projection of future climate as well as for using those models for climate adaptation and mitigation plans in the study area. Through wide-ranging evaluation methods using the Comprehensive Rating Index (CRI) and Taylor diagram, our study contributes by highlighting the top performing GCMs across different temporal scales for precipitation, Tmax and Tmin separately. The findings indicated that EC-Earth3, MPI-ESM1-2-LR and ACCESS-ESM1-5 at daily time scale, and CNRMCM6-1, BCC-CSM2-MR and EC-Earth3 at monthly timescale are the best performing models for simulating precipitation. The best performing models for simulating MAM (March-May) seasonal precipitation are BCC-CSM2-MR, MPI-ESM1-2-LR, EC-Earth3 while ACCESS-ESM1-5, MPI-ESM12-LR, and EC-Earth3 are good at for JJAS (June-September) precipitation. BCC-CSM2-MR, MPIESM1-2-LR, EC-Earth3 and ACCESS-ESM1-5 are best performing models for simulating annual rainfall. Conversely, MIROC6 exhibits relatively weaker performance for simulating rainfall across all the studied temporal scales. For Tmax, EC-Earth3, MPI-ESM1-2-LR, and MRI-ESM20 consistently performed well, while BCC-CSM2-MR is the poorly performing climate model. Regarding Tmin, EC-Earth3, BCC-CSM2-MR and MPI-ESM1-2-LR consistently perform well, while MIROC6 demonstrates weaker performance. The finding suggested that one of the best performing CMIP6 models for simulating precipitation (ACCESS-ESM1-5) did not equally perform well for representing Tmax and Tmin. In addition, the best performing model for simulating Tmax (MRI-ESM2-0) also did not perform well for Tmin. Furthermore, the best performing climate model for rainfall on a specific temporal scale did not perform well on another temporal scale. The study recommends evaluation of climate models for rainfall, Tmax, and Tmin independently at different time scales for better understanding of future climates using the best performing models for each climate variable as well as for effective climate adaptation and mitigation plans.
C1 [Lebeza, Tadele Melese; Gashaw, Temesgen] Bahir Dar Univ, Coll Agr & Environm Sci, Dept Nat Resource Management, Bahir Dar, Ethiopia.
   [Gashaw, Temesgen; van Oel, Pieter R.] Wageningen Univ & Res, Water Resources Management Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
   [Bayabil, Haimanote Kebede] Univ Florida, IFAS, Trop Res & Educ Ctr, Dept Agr & Biol Engn, Homestead, FL USA.
   [Worqlul, Abeyou W.] Int Ctr Agr Res Dry Areas ICARDA, Addis Ababa, Ethiopia.
   [Dile, Yihun T.] Texas A&M Univ, Coll Agr & Life Sci, College Stn, TX USA.
   [Chukalla, Abebe Demissie] IHE Delft Inst Water Educ, Dept Land & Water Management, NL-2611 AX Delft, Netherlands.
C3 Bahir Dar University; Wageningen University & Research; State University
   System of Florida; University of Florida; CGIAR; International Center
   for Agricultural Research in the Dry Areas (ICARDA); Texas A&M
   University System; Texas A&M University College Station; IHE Delft
   Institute for Water Education
RP Lebeza, TM (corresponding author), Bahir Dar Univ, Coll Agr & Environm Sci, Dept Nat Resource Management, Bahir Dar, Ethiopia.
EM e23m5328@soka-u.jp
RI van Oel, Pieter/AAC-6636-2019; Gashaw, Temesgen/AAC-9555-2019; van Oel,
   Pieter/B-2080-2010
OI van Oel, Pieter/0000-0001-7740-0537; Melese, Tadele/0000-0002-4627-8193;
   Gashaw, Temesgen/0000-0002-9298-4910
FU International Foundation for Science (IFS) , Sweden through Temesgen
   Gashaw (IFS Grant) [I2-W-6698-1]
FX The rainfall and temperature data used in this study are obtained from
   the Ethiopian Meteorology Institute (EMI) . This study received
   financial support from the International Foundation for Science (IFS) ,
   Sweden through Temesgen Gashaw (IFS Grant I2-W-6698-1) . Therefore, the
   authors are very much grateful for these Institutions for their support.
   The authors are also very much grateful for the two anonymous reviewers
   and editor of the journal for their comments, which improves the overall
   quality of the paper.
CR Abebe W. B., 2017, Climate of Lake Tana Basin., DOI [10.1007/978-3-319-45755-05, DOI 10.1007/978-3-319-45755-05]
   Abraham T., 2018, J Environ Earth Sci, V8, P81
   Agyekum J, 2022, SCI AFR, V16, DOI 10.1016/j.sciaf.2022.e01181
   Alaminie AA, 2023, J HYDROL-REG STUD, V46, DOI 10.1016/j.ejrh.2023.101343
   Alaminie AA, 2021, WATER-SUI, V13, DOI 10.3390/w13152110
   Andualem Shigute Bokke Andualem Shigute Bokke, 2017, Atmospheric and Climate Sciences, V7, P65, DOI 10.4236/acs.2017.71006
   Ayugi B, 2021, INT J CLIMATOL, V41, P6474, DOI 10.1002/joc.7207
   Berhanu D, 2023, J WATER CLIM CHANGE, V14, P2583, DOI 10.2166/wcc.2023.502
   Chakilu GG, 2022, J HYDROL-REG STUD, V42, DOI 10.1016/j.ejrh.2022.101175
   Chen CA, 2021, WEATHER CLIM EXTREME, V31, DOI 10.1016/j.wace.2021.100303
   Dong ZK, 2023, ENVIRON SCI POLLUT R, V30, P30295, DOI 10.1007/s11356-022-24162-7
   Doscher R, 2021, Geoscientific Model Dev Discuss, P1
   Fetene ZA, 2022, INT J CLIMATOL, V42, P8489, DOI 10.1002/joc.7736
   Gebrechorkos SH, 2023, EARTHS FUTURE, V11, DOI 10.1029/2022EF003011
   Getachew B, 2022, GLOB CHALL, V6, DOI 10.1002/gch2.202200041
   Getachew B, 2021, J HYDROL, V595, DOI 10.1016/j.jhydrol.2021.125974
   Guo H, 2022, THEOR APPL CLIMATOL, V149, P1451, DOI 10.1007/s00704-022-04118-0
   Guo H, 2021, ATMOS RES, V252, DOI 10.1016/j.atmosres.2021.105451
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Hamadalnel M, 2022, INT J CLIMATOL, V42, P2717, DOI 10.1002/joc.7387
   Hamududu BH, 2020, ENVIRON DEV SUSTAIN, V22, P2817, DOI 10.1007/s10668-019-00320-9
   Iqbal Z, 2021, ATMOS RES, V254, DOI 10.1016/j.atmosres.2021.105525
   Iqbal Z, 2020, ATMOS RES, V245, DOI 10.1016/j.atmosres.2020.105061
   Jiang ZH, 2015, J CLIMATE, V28, P8603, DOI 10.1175/JCLI-D-15-0099.1
   Jury MR, 2015, INT J CLIMATOL, V35, P37, DOI 10.1002/joc.3960
   Kamworapan S, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e08263
   Krause A, 2019, EARTHS FUTURE, V7, P833, DOI 10.1029/2018EF001123
   Makula EK, 2022, INT J CLIMATOL, V42, P2398, DOI 10.1002/joc.7373
   Mbigi D, 2022, INT J CLIMATOL, V42, P9865, DOI 10.1002/joc.7868
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Rettie FM, 2023, FRONT ENV SCI-SWITZ, V11, DOI 10.3389/fenvs.2023.1127265
   Rocha J, 2020, SCI TOTAL ENVIRON, V736, DOI 10.1016/j.scitotenv.2020.139477
   Serur A. B., 2018, Southeastern Ethiopia., DOI [10.1007/978-981-10-5714-45, DOI 10.1007/978-981-10-5714-45]
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Taylor KE, 2001, J GEOPHYS RES-ATMOS, V106, P7183, DOI 10.1029/2000JD900719
   Ullah S, 2020, ATMOS RES, V246, DOI 10.1016/j.atmosres.2020.105122
   Wang D, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12070867
   White HJ, 2021, AGR ECOSYST ENVIRON, V320, DOI 10.1016/j.agee.2021.107600
   Yang ZQ, 2021, INT J CLIMATOL, V41, P131, DOI 10.1002/joc.6612
   Zhang ZH, 2016, ANN TRANSL MED, V4, DOI 10.3978/j.issn.2305-5839.2015.12.63
NR 40
TC 1
Z9 1
U1 1
U2 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2468-2276
J9 SCI AFR
JI Sci. Afr.
PD DEC
PY 2024
VL 26
AR e02387
DI 10.1016/j.sciaf.2024.e02387
EA SEP 2024
PG 15
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA H3Q9D
UT WOS:001322629400001
OA gold
DA 2025-01-10
ER

PT J
AU McDonald, RI
   Chaplin-Kramer, R
   Mulligan, M
   Kropf, CM
   Huelsen, S
   Welker, P
   Poor, E
   Erbaugh, JT
   Masuda, YJ
AF McDonald, Robert I.
   Chaplin-Kramer, Rebecca
   Mulligan, Mark
   Kropf, Chahan M.
   Huelsen, Sarah
   Welker, Preston
   Poor, Erin
   Erbaugh, James T.
   Masuda, Yuta J.
TI Win-wins or trade-offs? Site and strategy determine carbon and local
   ecosystem service benefits for protection, restoration, and agroforestry
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE climate adaptation; climate mitigation; nature-based solutions (NBS);
   nature's benefits to people; natural climate solutions (NCS)
ID CLIMATE-CHANGE; DEFORESTATION; EMISSIONS; BIOMASS; RISK
AB Nature-based solutions (NBS) can deliver many benefits to human wellbeing, including some crucial to climate adaptation. We quantitatively assess the global potential of NBS strategies of protection, restoration, and agroforestry by modeling global climate change mitigation and local ecosystem services (water availability, sediment retention, runoff, pollination, nitrogen retention, green water storage, and coastal protection). The strategies with the most potential to help people do not necessarily deliver the most climate change mitigation: per area of conservation action, agroforestry provides substantial benefits (>20% increase in at least one local ecosystem service) to three times more people on average than reforestation while providing less than one tenth the carbon sequestration per unit area. Each strategy delivers a different suite of ecosystem service benefits; for instance, avoided forest conversion provides a strong increase in nitrogen retention (100% increase to 72 million people if fully implemented globally) while agroforestry increases pollination services (100% increase to 3.0 billion people if fully implemented globally). One common disservice shared by all the NBS strategies modeled here is that increased woody biomass increases transpiration, reducing annual runoff and in some watersheds negatively impacting local water availability. In addition, the places with the greatest potential for climate change mitigation are not necessarily the ones with the most people. For instance, reforestation in Latin America has the greatest climate change mitigation potential, but the greatest ecosystem service benefits are in Africa. Focusing on nations with high climate mitigation potential as well as high local ecosystem service potential, such as Nigeria in the case of reforestation, India for agroforestry, and the Republic of Congo for avoided forest conversion, can help identify win-win sites for implementation. We find that concentrating implementation of these three conservation strategies in critical places, covering 5.8 million km(2), could benefit 2.0 billion people with increased local ecosystem services provision. These critical places cover only 35% of the possible area of implementation but would provide 80% of the benefits that are possible globally for the selected set of ecosystem services under the NBS scenarios examined here. We conclude that targeting these critical places for protection, restoration, and agroforestry interventions will be key to achieving adaptation and human wellbeing goals while also increasing nature-based carbon mitigation.
C1 [McDonald, Robert I.] Nat Conservancy Europe, Berlin, Germany.
   [McDonald, Robert I.] CUNY Inst Demog Res, New York, NY 10964 USA.
   [McDonald, Robert I.] Humboldt Univ, Geog Dept, Berlin, Germany.
   [Chaplin-Kramer, Rebecca] World Wide Fund, Global Sci, San Francisco, CA USA.
   [Mulligan, Mark] Kings Coll London, Geog Dept, London, England.
   [Kropf, Chahan M.; Huelsen, Sarah] Swiss Fed Inst Technol, Dept Environm Syst Sci, Zurich, Switzerland.
   [Welker, Preston; Poor, Erin] Nature Conservancy, Tackle Climate Change Team, Arlington, VA USA.
   [Erbaugh, James T.] Nature Conservancy, Global Sci, Washington, DC USA.
   [Erbaugh, James T.] Dartmouth Coll, Dept Environm Studies, Hanover, NH 03755 USA.
   [Masuda, Yuta J.] Paul G Allen Family Fdn, Seattle, WA USA.
C3 City University of New York (CUNY) System; Humboldt University of
   Berlin; University of London; King's College London; Swiss Federal
   Institutes of Technology Domain; ETH Zurich; Nature Conservancy; Nature
   Conservancy; Dartmouth College
RP McDonald, RI (corresponding author), Nat Conservancy Europe, Berlin, Germany.; McDonald, RI (corresponding author), CUNY Inst Demog Res, New York, NY 10964 USA.; McDonald, RI (corresponding author), Humboldt Univ, Geog Dept, Berlin, Germany.
EM rob_mcdonald@tnc.org
RI ; Kropf, Chahan/O-4777-2016
OI Hulsen, Sarah/0000-0002-8899-0074; Kropf, Chahan/0000-0002-3761-2292
FU Bezos Earth Fund; European Union [820712, 101073978, 101081369]; Horizon
   Europe - Pillar II [101073978] Funding Source: Horizon Europe - Pillar
   II
FX The author(s) declare that financial support was received for the
   research, authorship, and/or publication of this article. This research
   was supported by members and donors of The Nature Conservancy, a
   non-profit organization, including a philanthropic grant from the Bezos
   Earth Fund. CK received funding from the European Union's Horizon 2020
   research and innovation program grant agreement Nos 820712 (PROVIDE),
   101073978 (DIRECTED), and 101081369 (SPARCCLE). Funders played no role
   in research design, analysis, or write-up.
CR Allen M., 2018, Special report: global warming of 1.5 C
   [Anonymous], 2005, Ecosystems and human well-being: Desertification synthesis
   [Anonymous], 2012, Working paper: Servicesheds enable mitigation of development impacts on ecosystem services
   Bastin JF, 2019, SCIENCE, V365, P76, DOI 10.1126/science.aax0848
   Bossio D. A., 2021, The nature conservancy, international institute for applied systems analysis, and SYSTEMIQ
   Chang C. H., 2024, Nat. Sustain, DOI [10.1126/science.aax0848, DOI 10.1126/SCIENCE.AAX0848]
   Chaplin-Kramer R, 2022, NAT ECOL EVOL, DOI 10.1038/s41559-022-01934-5
   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
   Colls A., 2009, Ecosystem-based adaptation: a natural response to climate change
   Cook-Patton SC, 2020, NATURE, V585, P545, DOI 10.1038/s41586-020-2686-x
   Curtis PG, 2018, SCIENCE, V361, P1108, DOI 10.1126/science.aau3445
   Dinerstein E, 2017, BIOSCIENCE, V67, P534, DOI 10.1093/biosci/bix014
   Dobson JE, 2000, PHOTOGRAMM ENG REM S, V66, P849
   Ellis PW, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-023-44425-2
   Flörke M, 2018, NAT SUSTAIN, V1, P51, DOI 10.1038/s41893-017-0006-8
   Griscom BW, 2017, P NATL ACAD SCI USA, V114, P11645, DOI 10.1073/pnas.1710465114
   Gunnell K, 2019, SCI TOTAL ENVIRON, V670, P411, DOI 10.1016/j.scitotenv.2019.03.212
   Hansen MC, 2003, EARTH INTERACT, V7
   Hanson MA, 2012, SCIENCE, V335, P851, DOI [10.1126/science.1244693, 10.1126/science.1215904]
   Harper KL, 2023, EARTH SYST SCI DATA, V15, P1465, DOI 10.5194/essd-15-1465-2023
   Hegwood M, 2022, NAT SUSTAIN, V5, P674, DOI 10.1038/s41893-022-00866-z
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Hopkins KG, 2018, J ENVIRON MANAGE, V220, P65, DOI 10.1016/j.jenvman.2018.05.013
   Houghton RA, 2018, GLOBAL CHANGE BIOL, V24, P350, DOI 10.1111/gcb.13876
   Hülsen S, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/ad00cd
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2022 Impacts, adaptation and vulnerability: Working Group II contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change, V1st ed.
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jaramillo F, 2018, HYDROL EARTH SYST SC, V22, P567, DOI 10.5194/hess-22-567-2018
   Jelinski DE, 1996, LANDSCAPE ECOL, V11, P129, DOI 10.1007/BF02447512
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Keeler BL, 2019, NAT SUSTAIN, V2, P29, DOI 10.1038/s41893-018-0202-1
   Klein AM, 2007, P ROY SOC B-BIOL SCI, V274, P303, DOI 10.1098/rspb.2006.3721
   Kremen C, 2007, ECOL LETT, V10, P299, DOI 10.1111/j.1461-0248.2007.01018.x
   Kundzewicz Zbigniew W., 2008, Ecohydrology & Hydrobiology, V8, P195, DOI 10.2478/v10104-009-0015-y
   Leavitt S. M., 2021, Natural climate solutions handbook: a technical guide for assessing NatureBased mitigation opportunities in countries
   Lehner B., 2008, EoS Transactions, V89, P93, DOI [DOI 10.1029/2008EO100001, 10.1029/2008EO100001]
   Li YP, 2009, CLIM RES, V39, P31, DOI 10.3354/cr00797
   McDonald RI., 2009, J. Conserv. Plan, V5, P1
   McDonald RobertIan., 2015, Conservation for Cities: How to Plan and Build Natural Infrastructure
   Mimura N, 2013, P JPN ACAD B-PHYS, V89, P281, DOI 10.2183/pjab.89.281
   Mollicone D, 2007, CLIMATIC CHANGE, V83, P477, DOI 10.1007/s10584-006-9231-2
   Monfreda C, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002947
   Mueller ND, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/5/054002
   Muller M. D., 2009, Pesquisa Florestal Brasileira, P11
   Mulligan M., 2017, Estimating water use by crops and other vegetation in the Volta basin using WaterWorld
   Mulligan M, 2013, HYDROL RES, V44, P748, DOI 10.2166/nh.2012.217
   Nair PKR, 2009, J PLANT NUTR SOIL SC, V172, P10, DOI 10.1002/jpln.200800030
   Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023
   Olson DM, 2001, BIOSCIENCE, V51, P933, DOI 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
   Pascual U, 2023, NATURE, V620, P813, DOI 10.1038/s41586-023-06406-9
   Porto RG, 2020, FOOD SECUR, V12, P1425, DOI 10.1007/s12571-020-01043-w
   Potapov P., 2011, GLOBAL MAP POTENTIAL
   Renard K. G., 2017, Soil erosion research methods
   Shukla A., 2022, IPCC 2022: climate change 2022: mitigation of climate change. Summary for policymakers
   Smith C, 2023, NATURE, V615, P270, DOI 10.1038/s41586-022-05690-1
   Spalding MD, 2014, OCEAN COAST MANAGE, V90, P50, DOI 10.1016/j.ocecoaman.2013.09.007
   Spawn SA, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0444-4
   TALLIS H., 2013, InVEST 2.5.6 User's guide
   Tellman B, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0209470
   Toimil A, 2020, COAST ENG, V156, DOI 10.1016/j.coastaleng.2019.103611
   Turner B, 2022, ANNU REV ENV RESOUR, V47, P123, DOI 10.1146/annurev-environ-012220-010017
   Ürge-Vorsatz D, 2014, ANNU REV ENV RESOUR, V39, P549, DOI 10.1146/annurev-environ-031312-125456
   Vogl AL, 2017, ENVIRON SCI POLICY, V75, P19, DOI 10.1016/j.envsci.2017.05.007
   Walsh KJE, 2016, WIRES CLIM CHANGE, V7, P65, DOI 10.1002/wcc.371
   Wasko C, 2021, PHILOS T R SOC A, V379, DOI 10.1098/rsta.2019.0548
   Zomer R.J., 2022, Circ. Agric. Syst, V2, P3, DOI [DOI 10.48130/CAS-2022-0003, 10.48130/CAS-2022-0003]
NR 68
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 2296-665X
J9 FRONT ENV SCI-SWITZ
JI Front. Environ. Sci.
PD AUG 8
PY 2024
VL 12
AR 1432654
DI 10.3389/fenvs.2024.1432654
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA D3X5N
UT WOS:001295549700001
OA gold
DA 2025-01-10
ER

PT J
AU Kang, SY
   Yin, JB
   Gu, L
   Yang, YH
   Liu, DD
   Slater, L
AF Kang, Shengyu
   Yin, Jiabo
   Gu, Lei
   Yang, Yuanhang
   Liu, Dedi
   Slater, Louise
TI Observation-Constrained Projection of Flood Risks and Socioeconomic
   Exposure in China
SO EARTHS FUTURE
LA English
DT Article
DE flood; hydrological simulations; machine learning; socioeconomic
   exposure; uncertainty analysis; climate models
ID RAINFALL-RUNOFF MODEL; RETURN PERIOD; PRECIPITATION; CHALLENGES; DESIGN;
   VAPOR
AB As the planet warms, the atmosphere's water vapor holding capacity rises, leading to more intense precipitation extremes. River floods with high peak discharge or long duration can increase the likelihood of infrastructure failure and enhance ecosystem vulnerability. However, changes in the peak and duration of floods and corresponding socioeconomic exposure under climate change are still poorly understood. This study employs a bivariate framework to quantify changes in flood risks and their socioeconomic impacts in China between the past (1985-2014) and future (2071-2100) in 204 catchments. Future daily river streamflow is projected by using a cascade modeling chain based on the outputs of five bias-corrected global climate models (GCMs) under three shared socioeconomic CMIP6 pathways (SSP1-26, SSP3-70, and SSP5-85), a machine learning model and four hydrological models. We also utilize the copula function to build the joint distribution of flood peak and duration, and calculate the joint return periods of the bivariate flood hazard. Finally, the exposure of population and regional gross domestic product to floods are investigated at the national scale. Our results indicate that flood peak and duration are likely to increase in the majority of catchments by 25%-100% by the late 21st century depending on the shared socioeconomic pathway. China is projected to experience a significant increase in bivariate flood risks even under the lowest emission pathway, with 24.0 million dollars/km(2) and 608 people/km(2) exposed under a moderate emissions scenario (SSP3-70). These findings have direct implications for hazard mitigation and climate adaptation policies in China.
   Plain Language Summary Our planet is becoming increasingly vulnerable to the dangers of river flooding, frequently causing significant environmental damage and economic losses. In a warming climate, precipitation extremes are projected to intensify, increasing flood risk as well as its environmental impacts. However, changes in the peak and duration of floods and corresponding socioeconomic exposure under climate change is little studied, particularly in China. By the late 21st century, the exposure of the population and China's total economic outputs/prospects is projected to reach 24.0 million dollars/km(2) and 608 people/km(2), even under considerable greenhouse gas emission. In order to mitigate the potential socioeconomic exposure and vulnerability, the implementation of the Sendai Framework for Disaster Risk Reduction is necessary and urgent. Our findings provide valuable information for mitigating hazards and developing climate adaptation policies in China.
C1 [Kang, Shengyu; Yin, Jiabo; Gu, Lei; Yang, Yuanhang; Liu, Dedi] Wuhan Univ, State Key Lab Water Resources Engn & Management, Wuhan, Peoples R China.
   [Slater, Louise] Univ Oxford, Sch Geog & Environm, Oxford, England.
C3 Wuhan University; University of Oxford
RP Yin, JB; Gu, L (corresponding author), Wuhan Univ, State Key Lab Water Resources Engn & Management, Wuhan, Peoples R China.
EM jboyn@whu.edu.cn; shisan@whu.edu.cn
RI Gu, Lei/A-7052-2011; Slater, Louise/KII-9281-2024
OI Slater, Louise/0000-0001-9416-488X; Yin, Jiabo/0000-0002-2305-8729
FU National Natural Science Foundation of China [52209020, 52009091,
   52242904, 52261145744]; Undergraduate Training Programs for Innovation
   and Entrepreneurship of Wuhan University [S202310486057, S202310486056];
   UK Research and Innovation [MR/V022008/1]; Fundamental Research Funds
   for the Central Universities [2042022kf1221]; Research Funds for the
   State Key Laboratory of Water Resources and Hydropower Engineering
   Science [2021SWG02]; FLF [MR/V022008/1] Funding Source: UKRI
FX J.Y. acknowledges support from the National Natural Science Foundation
   of China (Grants 52009091, 52242904, and 52261145744). L.G. acknowledges
   support from the National Natural Science Foundation of China (Grant
   52209020). S.K. and Y.Y. are supported by the Undergraduate Training
   Programs for Innovation and Entrepreneurship of Wuhan University (Grants
   S202310486057 and S202310486056). L.J.S. acknowledges support from UK
   Research and Innovation (Grant MR/V022008/1). This work is also
   supported by the Fundamental Research Funds for the Central Universities
   (Grant 2042022kf1221) and the Research Funds for the State Key
   Laboratory of Water Resources and Hydropower Engineering Science
   (2021SWG02). The numerical calculations in this paper have been
   performed on the supercomputing system in the Supercomputing Centre of
   Wuhan University. The authors would like to thank the World Climate
   Research Program working group on Coupled Modeling and all climate
   modeling institutions for making climate model outputs available. We
   also acknowledge the ECMWF for providing the ERA5-Land reanalysis data
   set.
CR Alfieri L, 2017, EARTHS FUTURE, V5, P171, DOI 10.1002/2016EF000485
   Allan RP, 2008, SCIENCE, V321, P1481, DOI 10.1126/science.1160787
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   Arsenault R, 2020, WATER RESOUR RES, V56, DOI 10.1029/2020WR027097
   Arsenault R, 2017, J HYDROL ENG, V22, DOI 10.1061/(ASCE)HE.1943-5584.0001489
   Ayantobo OO, 2017, J HYDROL, V550, P549, DOI 10.1016/j.jhydrol.2017.05.019
   Baran S, 2019, WATER RESOUR RES, V55, P3997, DOI [10.1029/2018WR024028, 10.1029/2018wr024028]
   Barth NA, 2017, WATER RESOUR RES, V53, P257, DOI 10.1002/2016WR019064
   Bergstrom S., 1973, NORD HYDROL, V4, P147, DOI DOI 10.2166/NH.1973.0012
   Bonavita M, 2021, B AM METEOROL SOC, V102, pE710, DOI 10.1175/BAMS-D-20-0307.1
   Brunner MI, 2019, WATER RESOUR RES, V55, P4745, DOI [10.1029/2019WR024701, 10.1029/2019wr024701]
   Chai YF, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31782-7
   Chebana F, 2011, ENVIRONMETRICS, V22, P63, DOI 10.1002/env.1027
   Chen BZ, 2022, SCI BULL, V67, P2030, DOI 10.1016/j.scib.2022.08.025
   Cheng J, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL093197
   Cheng M, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125376
   Crosbie RS, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL047657
   Das T, 2011, CLIMATIC CHANGE, V109, P71, DOI 10.1007/s10584-011-0298-z
   DUAN QY, 1992, WATER RESOUR RES, V28, P1015, DOI 10.1029/91WR02985
   Edijatno, 1999, HYDROLOG SCI J, V44, P263, DOI 10.1080/02626669909492221
   Gaál L, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011509
   Ganguli P, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-49822-6
   Ge JM, 2021, J ENVIRON MANAGE, V294, DOI 10.1016/j.jenvman.2021.112983
   Genuer R, 2010, PATTERN RECOGN LETT, V31, P2225, DOI 10.1016/j.patrec.2010.03.014
   Gong C, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002671
   Graves A, 2012, STUD COMPUT INTELL, V385, P1, DOI [10.1162/neco.1997.9.8.1735, 10.1007/978-3-642-24797-2, 10.1162/neco.1997.9.1.1]
   Green JK, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abb7232
   Gu L, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL097726
   Gu L, 2020, HYDROL EARTH SYST SC, V24, P451, DOI 10.5194/hess-24-451-2020
   He SK, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073645
   Hemri S, 2015, WATER RESOUR RES, V51, P7436, DOI 10.1002/2014WR016473
   Jiang DW, 2022, ECON RES-EKON ISTRAZ, V35, P2574, DOI 10.1080/1331677X.2021.1968309
   [姜彤 Jiang Tong], 2018, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V14, P50
   [姜彤 Jiang Tong], 2017, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V13, P128
   Kim NW, 2019, WATER-SUI, V11, DOI 10.3390/w11050992
   Koutsoyiannis D, 2012, EUR J PHYS, V33, P295, DOI 10.1088/0143-0807/33/2/295
   Lange S, 2019, GEOSCI MODEL DEV, V12, P3055, DOI 10.5194/gmd-12-3055-2019
   Lee T, 2020, J HYDROL, V582, DOI 10.1016/j.jhydrol.2019.124540
   Lees T, 2022, HYDROL EARTH SYST SC, V26, P3079, DOI 10.5194/hess-26-3079-2022
   Leimbach M, 2017, GLOBAL ENVIRON CHANG, V42, P215, DOI 10.1016/j.gloenvcha.2015.02.005
   Li DY, 2021, WATER RESOUR RES, V57, DOI 10.1029/2021WR029772
   Li HC, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13122089
   Li JN, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610069
   Lin GF, 2009, WATER RESOUR RES, V45, DOI 10.1029/2009WR007911
   Liu JF, 2013, APPL MECH MATER, V405-408, P2144, DOI 10.4028/www.scientific.net/AMM.405-408.2144
   Liu Lu-san, 2020, Research of Environmental Sciences, V33, P1081, DOI 10.13198/j.issn.1001-6929.2020.04.30
   Liu WB, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR028830
   Liu WB, 2019, SCI BULL, V64, P567, DOI 10.1016/j.scib.2019.03.007
   Ma N, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125221
   Malardel S., 2016, ECMWF NEWSLETTER, DOI [10.21957/zwdu9u5i, DOI 10.21957/ZWDU9U5I]
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Munoz SE, 2018, NATURE, V556, P95, DOI 10.1038/nature26145
   Orth R, 2015, J HYDROL, V523, P147, DOI 10.1016/j.jhydrol.2015.01.044
   Oudin L, 2005, J HYDROL, V303, P290, DOI 10.1016/j.jhydrol.2004.08.026
   Park CE, 2018, NAT CLIM CHANGE, V8, P70, DOI 10.1038/s41558-017-0034-4
   Perrin C, 2003, J HYDROL, V279, P275, DOI 10.1016/S0022-1694(03)00225-7
   Peters GP, 2016, NAT CLIM CHANGE, V6, P646, DOI 10.1038/nclimate3000
   Reichstein M, 2019, NATURE, V566, P195, DOI 10.1038/s41586-019-0912-1
   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
   Shiau JT, 2003, STOCH ENV RES RISK A, V17, P42, DOI 10.1007/s00477-003-0125-9
   Simmons AJ, 1999, Q J ROY METEOR SOC, V125, P353, DOI 10.1002/qj.49712555318
   Su BD, 2018, P NATL ACAD SCI USA, V115, P10600, DOI 10.1073/pnas.1802129115
   Sun ZB, 2022, ENVIRON INT, V163, DOI 10.1016/j.envint.2022.107231
   Tofiq FA, 2015, J HYDROL, V528, P45, DOI 10.1016/j.jhydrol.2015.06.023
   Troin M, 2016, J HYDROL, V540, P588, DOI 10.1016/j.jhydrol.2016.06.055
   UNDRR, 2020, REPORT SECRETARY GEN
   [王宁练 Wang Ninglian], 2019, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V34, P1220
   Wu XS, 2018, J HYDROL, V562, P305, DOI 10.1016/j.jhydrol.2018.05.028
   Xia J, 2021, GEOSCI LETT, V8, DOI 10.1186/s40562-021-00187-7
   Xu X, 2019, ENVIRON MODELL SOFTW, V122, DOI 10.1016/j.envsoft.2017.07.013
   Yin JB, 2023, NAT SUSTAIN, V6, P259, DOI 10.1038/s41893-022-01024-1
   Yin JB, 2023, SCI CHINA EARTH SCI, V66, P92, DOI 10.1007/s11430-022-9987-0
   Yin JB, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL100880
   Yin JB, 2022, SCI CHINA EARTH SCI, V65, P1772, DOI 10.1007/s11430-021-9927-x
   Yin JB, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR028491
   Yin JB, 2021, J HYDROL, V593, DOI 10.1016/j.jhydrol.2020.125878
   Yin JB, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2020.124760
   Yin JB, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13613-4
   Yin JB, 2018, J HYDROL, V566, P23, DOI 10.1016/j.jhydrol.2018.08.053
   Zhang DR, 2012, HYDROL RES, V43, P123, DOI 10.2166/nh.2011.131
   ZHAO RJ, 1992, J HYDROL, V135, P371, DOI 10.1016/0022-1694(92)90096-e
NR 82
TC 14
Z9 14
U1 21
U2 74
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 JUL
PY 2023
VL 11
IS 7
AR e2022EF003308
DI 10.1029/2022EF003308
PG 21
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA L5EM8
UT WOS:001023494400001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Ahmed, SM
   Dinnar, HA
   Ahmed, AE
   Elbushra, AA
   Turk, KGB
AF Ahmed, Shamseddin M.
   Dinnar, Hassan A.
   Ahmed, Adam E.
   Elbushra, Azharia A.
   Turk, Khalid G. Biro
TI A Deeper Understanding of Climate Variability Improves Mitigation
   Efforts, Climate Services, Food Security, and Development Initiatives in
   Sub-Saharan Africa
SO CLIMATE
LA English
DT Article
DE global warming; machine learning; bagging; rainwater harvesting;
   agroforestry; early warning
ID THORNTHWAITE MOISTURE INDEX; WEST-AFRICA; RAINFALL; EVAPOTRANSPIRATION;
   PERSPECTIVES; RESOURCES; CONFLICT; ENSEMBLE; SCHEME
AB This research utilized the bagging machine learning algorithm along with the Thornthwaite moisture index (TMI) to enhance the understanding of climate variability and change, with the objective of identifying the most efficient climate service pathways in Sub-Saharan Africa (SSA). Monthly datasets at a 0.5 degrees resolution (1960-2020) were collected and analyzed using R 4.2.2 software and spreadsheets. The results indicate significant changes in climatic conditions in Sudan, with aridity escalation at a rate of 0.37% per year. The bagging algorithm illustrated that actual water use was mainly influenced by rainfall and runoff management, showing an inverse relationship with increasing air temperatures. Consequently, sustainable strategies focusing on runoff and temperature control, such as rainwater harvesting, agroforestry and plant breeding were identified as the most effective climate services to mitigate and adapt to climate variability in SSA. The findings suggest that runoff management (e.g., rainwater harvesting) could potentially offset up to 22% of the adverse impacts of climate variability, while temperature control strategies (e.g., agroforestry) could account for the remaining 78%. Without these interventions, climate variability will continue to pose serious challenges to food security, livelihood generations, and regional stability. The research calls for further in-depth studies on the attributions of climate variability using finer datasets.
C1 [Ahmed, Shamseddin M.] King Faisal Univ, Inst Studies & Consultat, Al Hasa 31982, Saudi Arabia.
   [Dinnar, Hassan A.] King Faisal Univ, Date Palm Res Ctr Excellence, Al Hasa 31982, Saudi Arabia.
   [Ahmed, Adam E.; Elbushra, Azharia A.] King Faisal Univ, Coll Agr & Food Sci, Dept Agribusiness & Consumer Sci, Al Hasa 31982, Saudi Arabia.
   [Turk, Khalid G. Biro] King Faisal Univ, Water & Environm Studies Ctr, Al Hasa 31982, Saudi Arabia.
RP Ahmed, SM (corresponding author), King Faisal Univ, Inst Studies & Consultat, Al Hasa 31982, Saudi Arabia.
EM smhassan@kfu.edu.sa; hdinar@kfu.edu.sa; ayassin@kfu.edu.sa;
   aaali@kfu.edu.sa; kturk@kfu.edu.sa
CR Abiye OE, 2019, SN APPL SCI, V1, DOI 10.1007/s42452-019-1456-6
   Ahmed SM, 2021, AGR RES, V10, P72, DOI 10.1007/s40003-020-00476-1
   Ahmed SM, 2024, THEOR APPL CLIMATOL, V155, P3951, DOI 10.1007/s00704-024-04858-1
   Ahmed SM, 2020, AGR WATER MANAGE, V232, DOI 10.1016/j.agwat.2020.106064
   Alter RE, 2015, NAT GEOSCI, V8, P763, DOI [10.1038/ngeo2514, 10.1038/NGEO2514]
   Altman N, 2017, NAT METHODS, V14, P933, DOI 10.1038/nmeth.4438
   Ayanlade A, 2022, CLIM SERV, V27, DOI 10.1016/j.cliser.2022.100311
   Babaousmail H, 2023, ATMOSPHERE-BASEL, V14, DOI 10.3390/atmos14111679
   Barry B., 2008, Rainwater Harvesting Technologies in the Sahelian Zone of West Africa and the Potential for Outscaling
   Bennett BM, 2018, FOR ECOSYST, V5, DOI 10.1186/s40663-017-0124-9
   Bessah E, 2022, FRONT WATER, V4, DOI 10.3389/frwa.2022.966966
   Bhaga TD, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12244184
   Bromwich B, 2015, INT J WATER RESOUR D, V31, P375, DOI 10.1080/07900627.2015.1030495
   Brown SE, 2018, ENVIRON EVID, V7, DOI 10.1186/s13750-018-0136-0
   Brullo T, 2024, NPJ CLIM ACTION, V3, DOI 10.1038/s44168-024-00128-y
   Chipomho J., 2024, The Marginal Soils of Africa, DOI [10.1007/978-3-031-55185-719, DOI 10.1007/978-3-031-55185-719]
   Chiturike P, 2024, CABI AGR BIOSCI, V5, DOI 10.1186/s43170-024-00233-2
   Conway D, 2009, J HYDROMETEOROL, V10, P41, DOI 10.1175/2008JHM1004.1
   Duffy C, 2021, CLIM DEV, V13, P21, DOI 10.1080/17565529.2020.1715912
   Ekolu Job, 2022, Journal of Hydrology, DOI 10.1016/j.jhydrol.2022.128359
   Ekolu J, 2024, J HYDROL, V640, DOI 10.1016/j.jhydrol.2024.131679
   ELTAHIR EAB, 1989, J HYDROL, V110, P323, DOI 10.1016/0022-1694(89)90195-9
   Fan Y, 2004, J GEOPHYS RES-ATMOS, V109, DOI 10.1029/2003JD004345
   Fjelde H, 2012, POLIT GEOGR, V31, P444, DOI 10.1016/j.polgeo.2012.08.004
   Frohlich C., 2012, Eur. Form, V3, P139, DOI [10.3917/eufor.365.0139, DOI 10.3917/EUFOR.365.0139]
   Gadallah NAH, 2022, ARID ECOSYST, V12, P142, DOI 10.1134/S2079096122020032
   González S, 2020, INFORM FUSION, V64, P205, DOI 10.1016/j.inffus.2020.07.007
   Grovermann C, 2023, FRONT SUSTAIN FOOD S, V7, DOI 10.3389/fsufs.2023.1042551
   Hamadjoda Lefe Y. D., 2024, Environmental Challenges, V15, P100870, DOI [https://doi.org/10.1016/j.envc.2024.100870, DOI 10.1016/J.ENVC.2024.100870]
   Harris I, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0453-3
   Higginbottom TP, 2021, NAT SUSTAIN, V4, P501, DOI 10.1038/s41893-020-00670-7
   Huang J, 1996, J CLIMATE, V9, P1350, DOI 10.1175/1520-0442(1996)009<1350:AOMCSM>2.0.CO;2
   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]
   Iqbal R., 2020, Bull Natl Res Cent, V44, DOI [DOI 10.1186/S42269-020-00290-3, 10.1186/s42269-020-00290, DOI 10.1186/S42269-020-00290]
   Jacobs KL, 2020, CLIM SERV, V20, DOI 10.1016/j.cliser.2020.100199
   Karim MR, 2024, J ROCK MECH GEOTECH, V16, P1761, DOI 10.1016/j.jrmge.2023.09.009
   Karunarathne AMAN, 2016, AUST GEOMECH J, V51, P85
   Kim YT, 2024, WEATHER CLIM EXTREME, V44, DOI 10.1016/j.wace.2024.100688
   Kotikot SM, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-63786-2
   Kpoviwanou MRJH, 2024, TREES FOREST PEOPLE, V17, DOI 10.1016/j.tfp.2024.100642
   Kugedera AT, 2024, HELIYON, V10, DOI 10.1016/j.heliyon.2024.e33032
   Kumar P, 2024, GLOB J ENVIRON SCI M, V10, P1227, DOI 10.22034/gjesm.2024.03.18
   Kusangaya S, 2014, PHYS CHEM EARTH, V67-69, P47, DOI 10.1016/j.pce.2013.09.014
   Lalika C, 2024, J HYDROL-REG STUD, V53, DOI 10.1016/j.ejrh.2024.101794
   Lamptey B, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-46742-6
   Leng GY, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7b24
   Lombe P, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16229902
   Lu TT, 2024, J HYDROL-REG STUD, V52, DOI 10.1016/j.ejrh.2024.101672
   Ma S, 2024, SCI ADV, V10, DOI 10.1126/sciadv.adp3964
   Mangani T, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e12284
   Marshall M, 2012, CLIM DYNAM, V38, P1849, DOI 10.1007/s00382-012-1299-y
   MCCABE GJ, 1992, CLIMATIC CHANGE, V20, P143, DOI 10.1007/BF00154172
   Mohamed A, 2023, FRONT EARTH SC-SWITZ, V11, DOI 10.3389/feart.2023.1173569
   Mohamed I.H., 2022, J. Range Forage Sci, V40, P247, DOI [10.2989/10220119.2022.2080269, DOI 10.2989/10220119.2022.2080269]
   Molina Maria J., 2023, Artificial Intelligence for the Earth Systems, -, V1, P1, DOI [DOI 10.1175/AIES-D-22-0086.1, 10.1175/AIES-D-22-0086.1, 10.1175/aies-d-22-0086.1]
   Mosaffa H., 2022, Computers in Earth and Environmental Sciences, P585, DOI [DOI 10.1016/B978-0-323-89861-4.00027-0, 10.1016/B978-0-323-89861-4.00027-0]
   Muthee K, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e10670
   NASA, 2020, Record Flooding in Sudan
   Nonvide GMA, 2024, CLIM DEV, DOI 10.1080/17565529.2024.2365941
   Nooni IK, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13030533
   Nzeyimana L, 2023, INT J WATER RESOUR D, V39, P273, DOI 10.1080/07900627.2021.1991285
   Octavia D, 2023, FOR SCI TECHNOL, V19, P315, DOI 10.1080/21580103.2023.2269970
   Ogou FK, 2022, EARTH SYST ENVIRON, V6, P681, DOI 10.1007/s41748-021-00260-3
   Omotoso AB, 2023, J CLEAN PROD, V414, DOI 10.1016/j.jclepro.2023.137487
   Onyutha C, 2021, ATMOSFERA, V34, P267, DOI [10.20937/atm.52788, 10.20937/ATM.52788]
   Palmer PI, 2023, NAT REV EARTH ENV, V4, P254, DOI 10.1038/s43017-023-00397-x
   Pavlidis V, 2024, CLIM SERV, V34, DOI 10.1016/j.cliser.2024.100463
   Pereira AR, 2004, AGR WATER MANAGE, V66, P251, DOI 10.1016/j.agwat.2003.11.003
   Quandt A, 2019, CLIM DEV, V11, P485, DOI 10.1080/17565529.2018.1447903
   Reliefweb, 2020, The Sudan: 2020 Flood Response Overview
   Ruticumugambi JA, 2024, AGROFOREST SYST, V98, P1421, DOI 10.1007/s10457-024-01011-9
   Schunke J, 2021, WATER-SUI, V13, DOI 10.3390/w13223308
   Shen CP, 2021, FRONT WATER, V3, DOI 10.3389/frwa.2021.681023
   Starr M, 2015, HYDROLOG SCI J, V60, P706, DOI 10.1080/02626667.2014.914214
   Sylla MB, 2016, CLIMATIC CHANGE, V134, P241, DOI 10.1007/s10584-015-1522-z
   Tambal SARMA, 2024, J FLOOD RISK MANAG, V17, DOI 10.1111/jfr3.12966
   Tefera A.S., 2024, Discov. Environ, V2, P6, DOI [10.1007/s44274-024-00031-7, DOI 10.1007/S44274-024-00031-7]
   Tefera ML, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16156427
   Tolossa TT, 2020, COGENT FOOD AGR, V6, DOI 10.1080/23311932.2020.1724354
   Tranchina M, 2024, AGROFOREST SYST, V98, P1817, DOI 10.1007/s10457-024-00993-w
   Wanderley RLN, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0225443
   WMO, 2021, State of the Climate in Africa 2020 WMO-No 1275
   Yang YJ, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-74624-w
   Yesuf M., 2008, Intl Food Policy Res Inst.
   You L., 2008, Irrigation Investment Needs in Sub-Saharan Africa
   Zenda M, 2024, ATMOSPHERE-BASEL, V15, DOI 10.3390/atmos15111353
   Zeratsion BT, 2024, FOR SCI TECHNOL, V20, P47, DOI 10.1080/21580103.2023.2292171
   Zhao YY, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14246398
   Zhou S, 2024, J HYDROL, V641, DOI 10.1016/j.jhydrol.2024.131825
NR 89
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2225-1154
J9 CLIMATE
JI Climate
PD DEC
PY 2024
VL 12
IS 12
AR 206
DI 10.3390/cli12120206
PG 23
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA Q3L6R
UT WOS:001383744700001
OA gold
DA 2025-01-10
ER

PT J
AU Sielezniew, M
   Dziekanska, I
AF Sielezniew, Marcin
   Dziekanska, Izabela
TI GEOGRAPHICAL VARIATION IN WING PATTERN IN <i>PHENGARIS (=MACULINEA)
   ARION</i> (L.) (LEPIDOPTERA: LYCAENIDAE): SUBSPECIFIC DIFFERENTIATION OR
   CLINAL ADAPTATION?
SO ANNALES ZOOLOGICI
LA English
DT Article
DE Basking; Large Blue butterfly; melanization; sexual dimorphism;
   thermoregulation
ID BUTTERFLIES LEPIDOPTERA; HYMENOPTERA-FORMICIDAE; CONSERVATION;
   EVOLUTION; HOST; POPULATION; PHYLOGENY; ANTS; MELANIZATION; HABITAT
AB Socially parasitic and globally threatened Phengaris (=Maculinea) arion (L.) is one of the most intensively investigated insect species in Europe. Although current studies focus on ecology and genetics, the butterfly has also attracted attention because of its morphology. An extremely variable black pattern on the blue background of the wing upperside has resulted in the description of many different forms or even subspecies. We studied the variation of 148 individuals from five regional populations at a latitudinal gradient in Poland: two north-eastern populations, one middle-eastern populations and two southern populations. A proportion of the area covered with marginal strips and spots was measured, and the presence/absence of particular elements was also analyzed. For all except one, the most northern region, we found significant sexual dimorphism, with females being darker than males. Within sexes, the melanization level was higher in the north-east than in the south, and the mid - eastern region showed intermediate characteristics. Differences in colouration overlapped with variation in host ant use, but neither feature corresponded with the available genetic data and therefore clinal variation is a more likely explanation for the observed pattern. Melanization level may be an adaptation to climatic conditions, but it remains unclear which strategy of dorsal basking is applied by P. arion.
C1 [Sielezniew, Marcin] Univ Bialystok, Dept Invertebrate Zool, Inst Biol, PL-15950 Bialystok, Poland.
   [Dziekanska, Izabela] Assoc Butterfly Conservat TOM, PL-02798 Warsaw, Poland.
C3 University of Bialystok
RP Sielezniew, M (corresponding author), Univ Bialystok, Dept Invertebrate Zool, Inst Biol, Swierkowa 20B, PL-15950 Bialystok, Poland.
EM marcins@uwb.edu.pl
FU Polish Ministry of Science and Higher Education [2 P04G 024 30]
FX We are indebted to Dominika Mierzwa-Szymkowiak (Museum and Institute of
   Zoology PAS), Krzysztof Palka (Maria Curie-Sklodowska University) and
   Lukasz Przybylowicz (Institute of Systematics and Evolution of Animals
   PAS) for access to museum collections, as well as to Arkadiusz Debala,
   Krzysztof Frackiel, Marek Holowinski and Wlodzimierz Nowakowski for
   access to private collections. The authors are grateful also to Simona
   Bonelli, Magdalena Witek, Dario Patricelli, Adam Malkiewicz and the
   anonymous reviewer for valuable comments and suggestions, which have
   greatly improved the manuscript. This work was supported by the Polish
   Ministry of Science and Higher Education (grant no 2 P04G 024 30).
CR [Anonymous], 2005, STUDIES ECOLOGY CONS
   [Anonymous], BRIT BUTTERFLIES SPE
   Barbero F, 2009, J EXP BIOL, V212, P4084, DOI 10.1242/jeb.032912
   Beldade P, 2002, NAT REV GENET, V3, P442, DOI 10.1038/nrg818
   Bereczki J, 2011, EUR J ENTOMOL, V108, P519, DOI 10.14411/eje.2011.067
   Brakefield PM, 1999, BIOESSAYS, V21, P391, DOI 10.1002/(SICI)1521-1878(199905)21:5<391::AID-BIES6>3.0.CO;2-Q
   Buszko J., 2008, Motyle dzienne Polski
   Casacci LP, 2011, J INSECT CONSERV, V15, P103, DOI 10.1007/s10841-010-9327-x
   Dennis R.L.H., 1993, BUTTERFLIES CLIMATE
   DENNIS RLH, 1989, BIOL J LINN SOC, V38, P323, DOI 10.1111/j.1095-8312.1989.tb01581.x
   Ellers J, 2004, BIOL J LINN SOC, V82, P79, DOI 10.1111/j.1095-8312.2004.00319.x
   Fordyce JA, 2002, J EVOLUTION BIOL, V15, P871, DOI 10.1046/j.1420-9101.2002.00432.x
   Fric Z, 2004, J EVOLUTION BIOL, V17, P265, DOI 10.1111/j.1420-9101.2003.00681.x
   Fric Z, 2007, SYST ENTOMOL, V32, P558, DOI 10.1111/j.1365-3113.2007.00387.x
   GUPPY CS, 1986, OECOLOGIA, V70, P205, DOI 10.1007/BF00379241
   Karl I, 2009, BIOL J LINN SOC, V98, P301, DOI 10.1111/j.1095-8312.2009.01284.x
   KINGSOLVER JG, 1987, EVOLUTION, V41, P472, DOI 10.1111/j.1558-5646.1987.tb05819.x
   Krzywicki M, 1967, ANN ZOOL, V24, P1
   Mouquet N, 2005, ECOL MONOGR, V75, P525, DOI 10.1890/05-0319
   New TP., 1993, CONSERVATION BIOL LY
   Nowicki P, 2005, POPUL ECOL, V47, P193, DOI 10.1007/s10144-005-0222-3
   Nylin Soren, 2009, P198
   Patricelli D, 2011, ANIM BEHAV, V82, P791, DOI 10.1016/j.anbehav.2011.07.011
   Pech P, 2004, CLADISTICS, V20, P362, DOI 10.1111/j.1096-0031.2004.00031.x
   Razowski J, 2000, MONOGRAFIE PIENINSKI
   Rutkowski R, 2009, EUR J ENTOMOL, V106, P457, DOI 10.14411/eje.2009.058
   Settele J, 2009, SCIENCE, V325, P41, DOI 10.1126/science.1176892
   Shreeve Tim, 2009, P171
   Sielezniew M, 2005, STUDIES ECOLOGY CONS, V2, P231
   Sielezniew M, 2012, J INSECT CONSERV, V16, P39, DOI 10.1007/s10841-011-9392-9
   Sielezniew M, 2010, SOCIOBIOLOGY, V56, P465
   Sielezniew M, 2010, SOCIOBIOLOGY, V55, P95
   Sielezniew M, 2010, J INSECT CONSERV, V14, P141, DOI 10.1007/s10841-009-9235-0
   Spitzer L, 2009, ECOL INDIC, V9, P1056, DOI 10.1016/j.ecolind.2008.12.006
   Thomas J., 1980, Oryx, V15, P243
   Thomas JA, 2009, SCIENCE, V325, P80, DOI 10.1126/science.1175726
   THOMAS J. A., 2010, BUTTERFLIES GREAT BR
   Thomas J. A, 1996, CRUSTACEA COLEOPTE 1
   Thomas JA, 2004, NATURE, V432, P283, DOI 10.1038/432283a
   THOMAS JA, 1995, ECOLOGY AND CONSERVATION OF BUTTERFLIES, P180
   Tolman T., 2009, Collins butterfly guide: The most complete field guide to the butterflies of Britain and Europe
   Ugelvig LV, 2011, BMC EVOL BIOL, V11, DOI 10.1186/1471-2148-11-201
   VAISANEN R, 1994, ENTOMOL FENNICA, V5, P139, DOI 10.33338/ef.83809
   Van Dyck Hans, 2009, P159
   Van Swaay C., 2010, EUROPEAN RED LIST EU
   Vane-Wright RI, 1999, BIOL J LINN SOC, V66, P215, DOI 10.1006/bijl.1998.0280
   Varga Z., 2003, Post-glacial Dispersal Strategies of Orthoptera and Lepidoptera in Europe and in the Carpathian Basin, P93
   Verity R., 1940, Farfalle Diurne Italia Vol. 1  Considerazioni Generali e Hesperides, V1
NR 48
TC 5
Z9 5
U1 0
U2 15
PU MUSEUM & INST ZOOLOGY PAS-POLISH ACAD SCIENCES
PI WARSAW
PA WILCZA STREET 64, 00-679 WARSAW, POLAND
SN 0003-4541
J9 ANN ZOOL
JI Ann. Zool.
PY 2011
VL 61
IS 4
BP 739
EP 750
DI 10.3161/000345411X622561
PG 12
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA 886LC
UT WOS:000299854900011
DA 2025-01-10
ER

PT J
AU Mannucci, S
   Kwakkel, JH
   Morganti, M
   Ferrero, M
AF Mannucci, Simona
   Kwakkel, Jan H.
   Morganti, Michele
   Ferrero, Marco
TI Exploring potential futures: Evaluating the influence of deep
   uncertainties in urban planning through scenario planning: A case study
   in Rome, Italy
SO FUTURES
LA English
DT Article
DE Scenario planning; Deep uncertainties; Urban planning; Decision-making;
   Climate adaptation
ID ROBUST DECISION-MAKING; ADAPTIVE POLICY PATHWAYS; CLIMATE-CHANGE;
   ADAPTATION; OPTIMIZATION; MODELS; CHALLENGES; STRATEGIES; MANAGEMENT;
   DISCOVERY
AB Cities play a critical role in developing adaptable strategies to address the challenges posed by climate change. However, the inherent complexity of urban environments and their uncertain future conditions necessitate exploring innovative approaches and tools to assist the current planning practices. This paper presents a workflow rooted in model-based scenario planning for long-term adaptation planning given uncertain futures. To demonstrate the workflow's effectiveness, a pertinent case study was conducted in a flood-prone area of Rome. The study employed a land-use change model to examine potential urban growth patterns, considering the uncertain implementation of new poles of attraction. This interdisciplinary study constitutes an initial stride toward implementing uncertainty within urban planning frameworks. Future prospects encompass the integration of multiple models for cross-scale analysis, embracing further critical environmental and social aspects. This research contributes to advancing urban resilience strategies. It enhances the understanding of adapting to an uncertain future in the face of climate change, as urban areas must embrace comprehensive planning to ensure flexible adaptation when faced with climate-driven uncertainties in long-term planning. In conclusion, the study underscores that embracing uncertainty is a challenge and a pivotal opportunity to shape resilient and adaptable urban futures.
C1 [Mannucci, Simona; Morganti, Michele; Ferrero, Marco] Sapienza Univ Rome, DICEA Dept Civil Bldg & Environm Engn, SOS Urban Lab, Via Eudossiana 18, I-00184 Rome, Italy.
   [Kwakkel, Jan H.] Delft Univ Technol, Fac Technol Policy & Management, Jaffalaan 5, NL-2628 BX Delft, Netherlands.
C3 Sapienza University Rome; Delft University of Technology
RP Mannucci, S (corresponding author), Sapienza Univ Rome, DICEA Dept Civil Bldg & Environm Engn, SOS Urban Lab, Via Eudossiana 18, I-00184 Rome, Italy.
EM simona.mannucci@uniroma1.it
RI Mannucci, Simona/HLP-6436-2023; Ferrero, Marco/C-1254-2010; Morganti,
   Michele/AAD-9759-2019
OI Ferrero, Marco/0000-0001-5600-0390; Mannucci, Simona/0000-0003-3275-0167
CR Amer M, 2013, FUTURES, V46, P23, DOI 10.1016/j.futures.2012.10.003
   [Anonymous], 2011, Metronamica-Model descriptions
   Avin U, 2020, J AM PLANN ASSOC, V86, P403, DOI 10.1080/01944363.2020.1746688
   BANKES S, 1993, OPER RES, V41, P435, DOI 10.1287/opre.41.3.435
   Bankes S.C., 2013, ENCY OPERATIONS RES, V3rd, P532, DOI [DOI 10.1007/978-1-4419-1153-7314, 10.1007/978- 1- 4419- 1153- 7_314]
   Bankes S, 2009, COMPUT MQTH ORGAN TH, V15, P8, DOI 10.1007/s10588-008-9046-y
   Bartholomew E., 2020, On considering robustness in the search phase of Robust Decision Making: A comparison of Many-Objective Robust Decision Making, multi-scenario Many-Objective Robust Decision Making, and Many Objective Robust Optimization, P127
   Beh EHY, 2017, ENVIRON MODELL SOFTW, V93, P92, DOI 10.1016/j.envsoft.2017.03.013
   Beh EHY, 2015, ENVIRON MODELL SOFTW, V68, P181, DOI 10.1016/j.envsoft.2015.02.006
   Ben-Tal A, 2017, INFORMS J COMPUT, V29, P350, DOI 10.1287/ijoc.2016.0735
   Bishop P, 2007, FORESIGHT, V9, P5, DOI 10.1108/14636680710727516
   Börjeson L, 2006, FUTURES, V38, P723, DOI 10.1016/j.futures.2005.12.002
   Bradfield R, 2005, FUTURES, V37, P795, DOI 10.1016/j.futures.2005.01.003
   Bryant BP, 2010, TECHNOL FORECAST SOC, V77, P34, DOI 10.1016/j.techfore.2009.08.002
   Carter JG, 2018, CITIES, V77, P73, DOI 10.1016/j.cities.2018.01.014
   Carvalho P., 2021, IF Insight Foresight
   Cellamare C., 2010, ARCH STUDI URBANI RE, V97-98, P145, DOI DOI 10.3280/ASUR2010-097010
   Choi Y, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102213
   Ciullo A, 2020, RISK ANAL, V40, P1844, DOI 10.1111/risa.13527
   Cordova-Pozo K, 2023, FUTURES, V149, DOI 10.1016/j.futures.2023.103153
   Cozzolino S, 2022, CITIES, V130, DOI 10.1016/j.cities.2022.103978
   Daron J, 2015, CLIMATIC CHANGE, V132, P459, DOI 10.1007/s10584-014-1242-9
   Dawson M., 2019, Scenario Planning-Turning Scenario Narratives into an Active Planning Tool SCENARIO PLANNING-TURNING SCENARIO NARRATIVES INTO AN ACTIVE PLANNING TOOL
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   DIEHL E, 1995, ORGAN BEHAV HUM DEC, V62, P198, DOI 10.1006/obhd.1995.1043
   DUCOT C, 1980, FUTURES, V12, P51
   Falasca S, 2019, BUILD ENVIRON, V163, DOI 10.1016/j.buildenv.2019.106242
   Friedman JH, 1999, STAT COMPUT, V9, P123, DOI 10.1023/A:1008894516817
   Galdini R, 2023, FUTURES, V150, DOI 10.1016/j.futures.2023.103170
   Gerst MD, 2013, ENVIRON MODELL SOFTW, V44, P76, DOI 10.1016/j.envsoft.2012.09.001
   GODET M, 1986, FUTURES, V18, P134, DOI 10.1016/0016-3287(86)90094-7
   Groves D., 2013, AGU FALL M
   Groves DG., 2019, Decision making under deep uncertainty: From theory to practice, P135, DOI DOI 10.1007/978-3-030-05252-2_7
   Gupta RS, 2020, ADV WATER RESOUR, V145, DOI 10.1016/j.advwatres.2020.103718
   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
   Hagen A., 2010, Fuzzy set approach to assessing similarity of categorical maps, P8816, DOI [10.1080/13658810210157822, DOI 10.1080/13658810210157822]
   Hagen-Zanker A, 2009, INT J GEOGR INF SCI, V23, P61, DOI 10.1080/13658810802570317
   Hamarat C, 2014, SIMUL MODEL PRACT TH, V46, P25, DOI 10.1016/j.simpat.2014.02.008
   Helgeson C, 2020, TOPOI-INT REV PHILOS, V39, P257, DOI 10.1007/s11245-018-9584-y
   Helton JC, 2003, RELIAB ENG SYST SAFE, V81, P23, DOI 10.1016/S0951-8320(03)00058-9
   Hewitt R, 2014, ENVIRON MODELL SOFTW, V52, P149, DOI 10.1016/j.envsoft.2013.10.019
   Holtz G, 2015, ENVIRON INNOV SOC TR, V17, P41, DOI 10.1016/j.eist.2015.05.006
   Iglesias A, 2015, AGR WATER MANAGE, V155, P113, DOI 10.1016/j.agwat.2015.03.014
   Insolera I., 1960, Roma Moderna: Un Secolo Di Storia Urbanistica
   Jager J, 2015, CLIMATIC CHANGE, V128, P395, DOI 10.1007/s10584-014-1240-y
   Jaxa-Rozen M, 2018, ENVIRON MODELL SOFTW, V107, P245, DOI 10.1016/j.envsoft.2018.06.011
   Jin X., 2010, Encyclopedia of Machine Learning, P564, DOI [10.1007/978-0-387-30164-8_426, DOI 10.1007/978-0-387-30164-8_426]
   John A, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.789206
   Kasprzyk JR, 2013, ENVIRON MODELL SOFTW, V42, P55, DOI 10.1016/j.envsoft.2012.12.007
   Kazak J.K., 2018, The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions-The Case of the Wroclaw Larger Urban Zone (Poland), DOI [10.3390/su10041083, DOI 10.3390/SU10041083]
   Kwakkel Jan H., 2019, Futures & Foresight Science, V1, DOI 10.1002/ffo2.8
   Kwakkel Jan H., 2010, International Journal of Technology, Policy and Management, V10, P299, DOI 10.1504/IJTPM.2010.036918
   Kwakkel J.H., 2019, Decision making under deep uncertainty, 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, ENVIRON MODELL SOFTW, V79, P311, DOI 10.1016/j.envsoft.2015.11.020
   Kwakkel JH, 2015, CLIMATIC CHANGE, V132, P373, DOI 10.1007/s10584-014-1210-4
   Lauf S, 2012, ENVIRON MODELL SOFTW, V27-28, P71, DOI 10.1016/j.envsoft.2011.09.005
   da Silva LBL, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101865
   Lempert R., 2013, World Bank Policy Research Working Paper, DOI DOI 10.1596/1813-9450-6465
   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
   Lempert RJ, 2010, TECHNOL FORECAST SOC, V77, P960, DOI 10.1016/j.techfore.2010.04.007
   Lygoe RJ, 2013, LECT NOTES COMPUT SC, V7811, P641, DOI 10.1007/978-3-642-37140-0_48
   Mabrouk M, 2023, INT J DISAST RISK RE, V91, DOI 10.1016/j.ijdrr.2023.103684
   Maier HR, 2016, ENVIRON MODELL SOFTW, V81, P154, DOI 10.1016/j.envsoft.2016.03.014
   Makridakis S., 1998, FORECASTING METHODS
   Mancosu E, 2015, ENVIRON SCI POLICY, V46, P26, DOI 10.1016/j.envsci.2014.02.008
   Marinaro IC, 2020, CITIES, V96, DOI 10.1016/j.cities.2019.102402
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Moallemi EA, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102186
   Moroni S., 2021, HDB CITIES COMPLEXIT, P319, DOI DOI 10.4337/9781789900125.00027
   Moroni S., 2019, Emergence, Complexity, Planning Cities, V90, P42, DOI [10.1016/j.cities.2019.01.039, DOI 10.1016/J.CITIES.2019.01.039]
   Munafò M, 2010, SCOT GEOGR J, V126, P153, DOI 10.1080/14702541.2010.527855
   Nassauer JI, 2004, LANDSCAPE ECOL, V19, P343, DOI 10.1023/B:LAND.0000030666.55372.ae
   Recanatesi F, 2020, WATER RESOUR MANAG, V34, P4399, DOI 10.1007/s11269-020-02567-8
   ROBINSON JB, 1990, FUTURES, V22, P820, DOI 10.1016/0016-3287(90)90018-D
   Rozenberg J, 2014, CLIMATIC CHANGE, V122, P509, DOI 10.1007/s10584-013-0904-3
   Saliba G, 2009, J FUTURES STUD, V13, P123
   Salvati L, 2012, LANDSCAPE URBAN PLAN, V105, P43, DOI 10.1016/j.landurbplan.2011.11.020
   Schueller L, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101802
   Shavazipour B, 2021, ENVIRON MODELL SOFTW, V144, DOI 10.1016/j.envsoft.2021.105134
   Shepherd TG, 2018, CLIMATIC CHANGE, V151, P555, DOI 10.1007/s10584-018-2317-9
   Singh R, 2015, ECOL SOC, V20, DOI 10.5751/ES-07687-200312
   Smith R, 2022, J AM WATER RESOUR AS, V58, P735, DOI 10.1111/1752-1688.12985
   Steinmann P, 2020, TECHNOL FORECAST SOC, V156, DOI 10.1016/j.techfore.2020.120052
   Sterman JD, 2002, SYST DYNAM REV, V18, P501, DOI 10.1002/sdr.261
   Theodoridis S, 2009, PATTERN RECOGNITION, 4RTH EDITION, P653, DOI 10.1016/B978-1-59749-272-0.50015-3
   Tolk A, 2022, INFORMATION, V13, DOI 10.3390/info13100469
   Trindade BC, 2017, ADV WATER RESOUR, V104, P195, DOI 10.1016/j.advwatres.2017.03.023
   van Delden H, 2011, 19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), P127
   van Notten PWF, 2003, FUTURES, V35, P423, DOI 10.1016/S0016-3287(02)00090-3
   van Vliet J, 2016, ENVIRON MODELL SOFTW, V82, P174, DOI 10.1016/j.envsoft.2016.04.017
   van Vliet J, 2011, ECOL MODEL, V222, P1367, DOI 10.1016/j.ecolmodel.2011.01.017
   Walker W.E, 2010, Integrated Assessment, V4, P5, DOI [10.1076/iaij.4.1.5.16466, DOI 10.1076/IAIJ.4.1.5.16466]
   Walker WE, 2010, TECHNOL FORECAST SOC, V77, P917, DOI 10.1016/j.techfore.2010.04.004
   Walker WE, 2001, EUR J OPER RES, V128, P282, DOI 10.1016/S0377-2217(00)00071-0
   Walton S, 2019, FUTURES, V111, P42, DOI 10.1016/j.futures.2019.03.002
   Wang H, 2023, J WATER RES PLAN MAN, V149, DOI 10.1061/JWRMD5.WRENG-5827
   Watson AA, 2017, ENVIRON MODELL SOFTW, V89, P159, DOI 10.1016/j.envsoft.2016.12.001
   Yan D, 2017, SCI TOTAL ENVIRON, V607, P294, DOI 10.1016/j.scitotenv.2017.06.265
NR 102
TC 6
Z9 6
U1 7
U2 9
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0016-3287
EI 1873-6378
J9 FUTURES
JI Futures
PD DEC
PY 2023
VL 154
AR 103265
DI 10.1016/j.futures.2023.103265
EA OCT 2023
PG 16
WC Economics; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Business & Economics; Public Administration
GA X5AM9
UT WOS:001098575400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Rolfe, J
   Perry, L
   Long, P
   Frazer, C
   Beutel, T
   Tincknell, J
   Phelps, D
AF Rolfe, Joe
   Perry, Lindsey
   Long, Peter
   Frazer, Caitlyn
   Beutel, Terry
   Tincknell, Jane
   Phelps, David
TI GrazingFutures: learnings from a contemporary collaborative extension
   program in rangeland communities of western Queensland, Australia
SO RANGELAND JOURNAL
LA English
DT Article
DE drought management; risk; partnerships; training; rainfall variability;
   seasonal variability; stocking rates; wet season spelling; land
   condition; climate forecasting; grazier decision making; rural
   communities
ID NORTHERN GULF REGION; GREAT-BARRIER-REEF; MANAGEMENT-PRACTICES; BEEF
   INDUSTRY; PERFORMANCE; SNAPSHOT; SAVANNAS; ADOPTION; RATES
AB Producer reliance on drought subsidies instead of proactive planning and timely destocking in low rainfall years has prompted Queensland government investment in promoting business and drought resilience. GrazingFutures (AU$6 million budget, 2016-2022) is an extension project focussed on enhancing business management skills of extensive livestock producers in western Queensland, Australia. The region's rangelands are in productivity decline, span 1 million km2 and are managed by graziers operating more than 2400 livestock businesses (beef, sheep and goats). The Queensland Department of Agriculture and Fisheries delivers GrazingFutures as a component of the Drought and Climate Adaptation Program, in partnership with regional natural resource management groups and other public and private organisations. Project delivery emphasised upskilling multi-agency staff and livestock producers to promote practice change within three whole of business themes: (1) grazing land management; (2) animal production; and (3) peoplebusiness. Three independent surveys (2018, 2019, 2020) indicated positive practice change was occurring in grazing businesses as a consequence of the project. Graziers instigated management changes even under major environmental challenges including extended drought (2013-2020), an extreme flood event in 2019 and the COVID-19 pandemic in 2020. This paper details the rationale, progress against the objectives, challenges and future direction of the GrazingFutures extension project.
C1 [Rolfe, Joe] Dept Agr & Fisheries, Mareeba, Qld 4880, Australia.
   [Perry, Lindsey] Dept Agr & Fisheries, Cloncurry, Qld 4730, Australia.
   [Long, Peter] Peter Long Consulting, Yeppoon, Qld 4703, Australia.
   [Frazer, Caitlyn] Dept Agr & Fisheries, Charleville, Qld 4824, Australia.
   [Beutel, Terry] Dept Agr & Fisheries, Rockhampton, Qld 4470, Australia.
   [Tincknell, Jane; Phelps, David] Dept Agr & Fisheries, Longreach, Qld, Australia.
RP Rolfe, J (corresponding author), Dept Agr & Fisheries, Mareeba, Qld 4880, Australia.
EM joe.rolfe@daf.qld.gov.au
RI Phelps, David/J-8990-2019
OI Phelps, David/0009-0005-5172-1400
FU Queensland Government Drought and Climate Adaptation Program
FX The authors acknowledge funding through the Queensland Government
   Drought and Climate Adaptation Program.
CR ABS (Australian Bureau of Statistics), 2020, 75030 ABS
   Agtrans Research, 2020, APP 8 IMP ASS BUILD
   Ash A, 2007, AUST J AGR RES, V58, P952, DOI 10.1071/AR06188
   Australian Bureau of Statistics (ABS), 2020, 71210 ABS
   BENNETT C, 1975, J EXTENSION, V13, P7
   Black, 2016, CONDUCTING FEEDING T
   Bortolussi G, 2005, AUST J EXP AGR, V45, P1093, DOI 10.1071/EA03098
   Bortolussi G, 2005, AUST J EXP AGR, V45, P1075, DOI 10.1071/EA03097
   Botterill LC, 2012, NAT HAZARDS, V64, P139, DOI 10.1007/s11069-012-0231-4
   Bowen M.K., 2019, Central West Mitchell Grasslands Livestock Production Systems. Preparing for, Responding to, and Recovering from Drought
   Bray S, 2016, RANGELAND J, V38, P207, DOI 10.1071/RJ15124
   Buxton R., 1996, Rangeland Journal, V18, P292, DOI 10.1071/RJ9960292
   Chilcott C, 2020, NO AUSTR BEEF SITUAT
   Coutts J, 2019, J AGRIC EDUC EXT, V25, P99, DOI 10.1080/1389224X.2019.1583810
   Cowan T, 2019, WEATHER CLIM EXTREME, V26, DOI 10.1016/j.wace.2019.100232
   CRRDC, 2014, IMP ASS GUID
   DBIRD QDPIF and DNRM., 2002, GRAZ LAND MAN ED PAC
   English B. H., 2019, NO GULF PRODUCTION S
   Greiner R, 2011, LAND USE POLICY, V28, P257, DOI 10.1016/j.landusepol.2010.06.006
   Holmes P, 2017, AUSTR BEEF REPORT
   Holmes PR, 2015, RANGELAND J, V37, P609, DOI 10.1071/RJ15051
   Holmes W.E., 2017, Breedcow and Dynama herd budgeting software package. A manual of budgeting procedures for extensive beef herds
   Hunt LP, 2008, RANGELAND J, V30, P305, DOI 10.1071/RJ07058
   Hunt LP, 2014, RANGELAND J, V36, P105, DOI 10.1071/RJ13070
   Kelly D, 2019, RANGELAND J, V41, P233, DOI 10.1071/RJ18047
   Kilpatrick L, 2017, RURAL EXTENSION INNO, V13
   Long P. E., 2017, MERI PLAN IMPROVING
   Lyon A, 2011, J RURAL STUD, V27, P384, DOI 10.1016/j.jrurstud.2011.04.002
   Marshall NA, 2011, CLIMATIC CHANGE, V107, P511, DOI 10.1007/s10584-010-9962-y
   McCartney F., 2017, FACTORS LIMITING DEC
   McGowan M, 2014, BNBP0382 MEAT LIV AU
   MCKEON GM, 1990, J BIOGEOGR, V17, P355, DOI 10.2307/2845365
   MLA (Meat and Livestock Australia), 2019, CATTL NUMB JUN 2018
   MLA (Meat and Livestock Australia), 2019, SHEEP NUMB JUN 2018
   Orr DM, 2011, RANGELAND J, V33, P209, DOI 10.1071/RJ11032
   Pannell D, 2011, CHANGING LAND MANAGEMENT: ADOPTION OF NEW PRACTICES BY RURAL LANDHOLDERS, P1
   Paxton, 2019, GREATER DROUGHT PREP
   Perry, 2020, NO DOWNS PRODUCTION
   Phelps D.., 2014, CLIMATE SAVVY GRAZIN
   Phelps D, 2019, RANGELAND J, V41, P251, DOI 10.1071/RJ18052
   Preston CC, 2000, ACTA PSYCHOL, V104, P1, DOI 10.1016/S0001-6918(99)00050-5
   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]
   QGSO (Queensland Government Statisticians Office), 2020, QUEENSL REG PROF RES
   Reid G. K. R., 1973, Quarterly Review of Agricultural Economics, V26, P217
   Risen E., 2008, The Use of Intent Scale Translations to PRedict Purchase Interest
   Roberts, 2018, GRAZINGFUTURES EVALU
   Roberts, 2019, GRAZINGFUTURES GRAZI
   Roberts, 2020, GRAZINGFUTURES PROMO
   Roberts K., 2003, APEN EXT C 26 28 NOV
   Rolfe JW, 2016, RANGELAND J, V38, P261, DOI 10.1071/RJ15093
   Rolfe J, 2015, J ENVIRON MANAGE, V157, P182, DOI 10.1016/j.jenvman.2015.03.014
   Shaw KA, 2007, TROP GRASSLANDS, V41, P245
   Star M, 2015, RANGELAND J, V37, P507, DOI 10.1071/RJ15012
   The Long Paddock, 2017, DCAP GRAZINGFUTURES
   WESTON RH, 1988, AUST J AGR RES, V39, P255, DOI 10.1071/AR9880255
   Willis M, 2017, RURAL EXT INNOV SYST, V13, P156
NR 56
TC 4
Z9 4
U1 0
U2 3
PU CSIRO PUBLISHING
PI CLAYTON
PA UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10, CLAYTON, VIC
   3168, AUSTRALIA
SN 1036-9872
EI 1834-7541
J9 RANGELAND J
JI Rangeland J.
PY 2021
VL 43
IS 3
BP 173
EP 183
DI 10.1071/RJ20078
EA OCT 2021
PG 11
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA WO2IX
UT WOS:000711360800001
OA Green Accepted, hybrid
DA 2025-01-10
ER

PT J
AU Wang, YJ
   Chen, Y
   Hewitt, C
   Ding, WH
   Song, LC
   Ai, WX
   Han, ZY
   Li, XC
   Huang, ZL
AF Wang Yu-Jie
   Chen Yu
   Hewitt, Chris
   Ding Wei-Hua
   Song Lian-Chun
   Ai Wan-Xiu
   Han Zhen-Yu
   Li Xiu-Cang
   Huang Zi-Li
TI Climate services for addressing climate change: Indication of a climate
   livable city in China
SO ADVANCES IN CLIMATE CHANGE RESEARCH
LA English
DT Article
DE Climate services; Addressing climate change; Climate livable city; China
ID INFORMATION; TOURISM
AB China, like many countries, is under great pressure to reduce climate change and adapt to current situations while simultaneously undertaking economic development and transformation. This study takes advantage of climate opportunities and provides a new concept and mode of urban climate services in order to address climate change. Eighteen indicators based on climate and climate-related variables were used to provide an assessment, in the form of an index, of how livable a city is depending on prevailing climatic conditions. The resulting index can also be used to investigate how recent and future changes in the climatic conditions could affect livability. All Chinese cities and regions share the common goals of promoting low-carbon development, improving resilience against climate change, and integrating economic growth with climate actions. Climate services have been developed in China to provide decision-makers this measure of livability. Such a move facilitates sustainable development alongside economic growth by aiding government efforts in climate adaptation and low-carbon development. Our approach represents multidisciplinary and demand-driven research on adaptation to and the impacts of regional climate change, thereby transforming climate science into a climate service and ensuring that climate information can be provided in a scientific, practical, and customized way for policy-makers. The outputs can be used locally to take concrete climate actions and integrate climate services into decision-making processes.
C1 [Wang Yu-Jie] Nanjing Univ Informat Sci & Technol, Minist Educ, Key Lab Meteorol Disaster, Int Joint Res Lab Climate & Environm Change,Colla, Nanjing 210044, Peoples R China.
   [Wang Yu-Jie] Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing 210044, Peoples R China.
   [Chen Yu; Song Lian-Chun; Ai Wan-Xiu; Han Zhen-Yu; Li Xiu-Cang; Huang Zi-Li] China Meteorol Adm, Lab Climate Change, Natl Climate Ctr, Beijing 100081, Peoples R China.
   [Hewitt, Chris] Met Off, Exeter EX1 3BP, Devon, England.
   [Hewitt, Chris] Univ Southern Queensland, Toowoomba, Qld 4350, Australia.
   [Ding Wei-Hua] Zhejiang Meteorol Bur, Jiande Meteorol Serv, Hangzhou 311600, Peoples R China.
C3 Nanjing University of Information Science & Technology; Nanjing
   University of Information Science & Technology; China Meteorological
   Administration; Met Office - UK; University of Southern Queensland
RP Song, LC (corresponding author), China Meteorol Adm, Lab Climate Change, Natl Climate Ctr, Beijing 100081, Peoples R China.
EM songlc@cma.gov.cn
RI Huang, Zili/X-1816-2019; HAN, Zhenyu/AAD-6731-2019
OI Hewitt, Chris/0000-0002-4718-4009
FU National Key R&D Program of China [2018YFA0606302]; UKeChina Research &
   Innovation Partnership Fund through the Met Office CSSP China as part of
   the Newton Fund
FX This work was jointly supported by the National Key R&D Program of China
   (2018YFA0606302) and by the UKeChina Research & Innovation Partnership
   Fund through the Met Office CSSP China as part of the Newton Fund.
CR [Anonymous], 2012, Technical Regulation on Ambient Air Quality Index
   Asrar GR, 2012, CURR OPIN ENV SUST, V4, P88, DOI 10.1016/j.cosust.2012.01.003
   Guy P, 2016, EARTHS FUTURE, V4, P79, DOI 10.1002/2015EF000338
   [巢清尘 Chao Qingchen], 2014, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V10, P167
   CMA, 2020, SPEC CLIM RES ASS CL
   CMA (China Meteorological Administration), 2003, SPEC SURF MET OBS CM
   Douglass M, 2002, ENVIRON URBAN, V14, P53, DOI 10.1177/095624780201400105
   Dube K, 2018, ENVIRON SCI POLICY, V84, P113, DOI 10.1016/j.envsci.2018.03.009
   Evans P., 2002, LIVABLE CITIES URBAN
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Han ZY, 2019, J APPL METEOROL CLIM, V58, P2387, DOI 10.1175/JAMC-D-19-0050.1
   Hewitt C, 2012, NAT CLIM CHANGE, V2, P831, DOI 10.1038/nclimate1745
   Hewitt CD, 2017, NAT CLIM CHANGE, V7, P614, DOI 10.1038/nclimate3378
   IPCC, 2014, CHIN ENV SCI, DOI [DOI 10.3969/J.ISSN.1000-6923.2014.05.038, 10.3969/j.issn.1000-6923.2014.05.038]
   Jiao M.Y., 2015, WORLD METEOROL ORGAN, V64, P1
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lennard H.L., 1997, MAK CIT LIV INT MAK
   Li X., 2003, ECON GEOGR, V23, P656
   Li Z., 2016, METEOROLOGICAL ENV S, V39, P104, DOI [10.16765/j.cnki.1673-7148.2016.03.014, DOI 10.16765/J.CNKI.1673-7148.2016.03.014]
   Lourenço TC, 2016, NAT CLIM CHANGE, V6, P13, DOI 10.1038/nclimate2836
   NCC (National Climate Center), 2018, ASS REP NAT CLIM IND
   Peng G., 2010, PLATEAU MOUNTAIN MET, V30, P36
   Prokopy LS, 2017, CLIM RISK MANAG, V15, P1, DOI 10.1016/j.crm.2016.10.004
   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]
   [任芝花 Ren Zhihua], 2012, [应用气象学报, Journal of Applied Meteorolgical Science], V23, P739
   Scott D, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7060080
   Scott D, 2012, WIRES CLIM CHANGE, V3, P213, DOI 10.1002/wcc.165
   Scott DJ, 2011, CLIM RES, V47, P111, DOI 10.3354/cr00952
   Shi Y., 2019, METEOROLOGICAL ENV S, V42, P102
   Song, 2019, CHINA CLIMATE
   Sutton RT, 2019, B AM METEOROL SOC, V100, P1637, DOI 10.1175/BAMS-D-18-0280.1
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Wang X. L., 2017, CHINESE AGR SCI B, V33, P129
   Wang YJ, 2020, WEATHER CLIM SOC, V12, P729, DOI 10.1175/WCAS-D-19-0121.1
   [闫业超 Yan Yechao], 2013, [地球科学进展, Advance in Earth Sciences], V28, P1119
   Yin W.J., 2018, CHIN POPUL RESOUR EN, V28, P5
   Zhai PM, 2019, CHIN SCI B-CHIN, V64, P1995, DOI 10.1360/N972018-00911
NR 37
TC 7
Z9 7
U1 23
U2 145
PU KEAI PUBLISHING LTD
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, Building 5, Room 411, BEIJING, DONGCHENG
   DISTRICT 100009, PEOPLES R CHINA
SN 1674-9278
J9 ADV CLIM CHANG RES
JI Adv. Clim. Chang. Res.
PD OCT
PY 2021
VL 12
IS 5
BP 744
EP 751
DI 10.1016/j.accre.2021.07.006
PG 8
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA WC8KP
UT WOS:000704501200013
OA gold
DA 2025-01-10
ER

PT J
AU Caluwaerts, S
   Top, S
   Vergauwen, T
   Wauters, G
   De Ridder, K
   Hamdi, R
   Mesuere, B
   Van Schaeybroeck, B
   Wouters, H
   Termonia, P
AF Caluwaerts, Steven
   Top, Sara
   Vergauwen, Thomas
   Wauters, Guy
   De Ridder, Koen
   Hamdi, Rafiq
   Mesuere, Bart
   Van Schaeybroeck, Bert
   Wouters, Hendrik
   Termonia, Piet
TI Engaging Schools to Explore Meteorological Observational Gaps
SO BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
LA English
DT Article
DE Atmosphere-land interaction; In situ atmospheric observations; Automatic
   weather stations; Numerical weather prediction; forecasting; Local
   effects; Urban meteorology
ID URBAN; CITY
AB Today, the vast majority of meteorological data are collected in open, rural environments to comply with the standards set by the World Meteorological Organization. However, these traditional networks lack local information that would be of immense value, for example, for studying urban microclimates, evaluating climate adaptation measures, or improving high-resolution numerical weather predictions. Therefore, an urgent need exists for reliable meteorological data in other environments (e.g., cities, lakes, forests) to complement these conventional networks. At present, however, high-accuracy initiatives tend to be limited in space and/or time as a result of the substantial budgetary requirements faced by research teams and operational services. We present a novel approach for addressing the existing observational gaps based on an intense collaboration with high schools. This methodology resulted in the establishment of a regionwide climate monitoring network of 59 accurate weather stations in a wide variety of locations across northern Belgium. The project is also of large societal relevance as it bridges the gap between the youth and atmospheric science. To guarantee a sustainable and mutually valuable collaboration, the schools and their students are involved at all stages, ranging from proposing measurement locations, building the weather stations, and even data analysis. We illustrate how the approach received overwhelming enthusiasm from high schools and students and resulted in a high-accuracy monitoring network with unique locations offering novel insights.</p>
C1 [Caluwaerts, Steven; Top, Sara; Vergauwen, Thomas; Wauters, Guy; Mesuere, Bart; Termonia, Piet] Univ Ghent, Ghent, Belgium.
   [Caluwaerts, Steven; Hamdi, Rafiq; Van Schaeybroeck, Bert; Termonia, Piet] Royal Meteorol Inst Belgium, Brussels, Belgium.
   [De Ridder, Koen; Wouters, Hendrik] VITO, Mol, Belgium.
C3 Ghent University; Royal Meteorological Institute of Belgium; VITO
RP Caluwaerts, S (corresponding author), Univ Ghent, Ghent, Belgium.; Caluwaerts, S (corresponding author), Royal Meteorol Inst Belgium, Brussels, Belgium.
EM steven.caluwaerts@ugent.be
RI Van Schaeybroeck, Bert/AAP-5118-2021; Top, Sara/GQZ-2138-2022; hamdi,
   Rafiq/JCE-1399-2023
OI Caluwaerts, Steven/0000-0001-7456-3891; Termonia,
   Piet/0000-0003-2095-0567; De Ridder, Koen/0000-0003-1167-5591; Van
   Schaeybroeck, Bert/0000-0002-9507-7929; Top, Sara/0000-0003-1281-790X
FU EWI Citizen Science Call
FX AcknowledgmentsWe owe a great debt of gratitude towards all teachers,
   students, and local partners for their enthusiasm, which makes this
   network run. This project received funding from the EWI Citizen Science
   Call and is supported by many local partners who are included in the
   online dashboard (www.vlinder.ugent.be/dashboard). We are grateful for
   the remarks and suggestions of the reviewers.
CR Bauer P, 2015, NATURE, V525, P47, DOI 10.1038/nature14956
   De Frenne P, 2016, SCIENCE, V351, P234, DOI 10.1126/science.351.6270.234-a
   Finarelli MargaretG., 1998, Journal of Science and Technology, V7, P77, DOI 10.1023/A:1022588216843
   GONSKI R, 1992, B AM METEOROL SOC, V73, P628
   Hamdi R, 2012, WEATHER FORECAST, V27, P323, DOI 10.1175/WAF-D-11-00064.1
   Heaviside Clare, 2017, Curr Environ Health Rep, V4, P296, DOI 10.1007/s40572-017-0150-3
   Irwin A, 2018, NATURE, V562, P480, DOI 10.1038/d41586-018-07106-5
   Magli S, 2015, INT J ENERGY ENVIR E, V6, P91, DOI 10.1007/s40095-014-0154-9
   Masson V, 2013, GEOSCI MODEL DEV, V6, P929, DOI 10.5194/gmd-6-929-2013
   Muller CL, 2013, INT J CLIMATOL, V33, P1585, DOI 10.1002/joc.3678
   Nipen TN, 2020, B AM METEOROL SOC, V101, pE43, DOI 10.1175/BAMS-D-18-0237.1
   OKE TR, 1973, ATMOS ENVIRON, V7, P769, DOI 10.1016/0004-6981(73)90140-6
   Steeneveld GJ, 2014, LANDSCAPE URBAN PLAN, V121, P92, DOI 10.1016/j.landurbplan.2013.09.001
   UN-Habitat, 2020, WORLD CIT REP VAL SU
   van de Giesen N, 2014, WIRES WATER, V1, P341, DOI 10.1002/wat2.1034
NR 15
TC 8
Z9 8
U1 0
U2 3
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693 USA
SN 0003-0007
EI 1520-0477
J9 B AM METEOROL SOC
JI Bull. Amer. Meteorol. Soc.
PD JUN
PY 2021
VL 102
IS 6
BP E1126
EP E1132
DI 10.1175/BAMS-D-20-0051.1
PG 7
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA WX0FX
UT WOS:000718281800001
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Zu, KL
   Wang, ZH
   Zhu, XY
   Lenoir, J
   Shrestha, N
   Lyu, T
   Luo, A
   Li, YQ
   Ji, CJ
   Peng, SJ
   Meng, JH
   Zhou, J
AF Zu, Kuiling
   Wang, Zhiheng
   Zhu, Xiangyun
   Lenoir, Jonathan
   Shrestha, Nawal
   Lyu, Tong
   Luo, Ao
   Li, Yaoqi
   Ji, Chengjun
   Peng, Shijia
   Meng, Jiahui
   Zhou, Jian
TI Upward shift and elevational range contractions of subtropical mountain
   plants in response to climate change
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Climate change; Conservation planning; Elevational gradients; Gongga
   Mountain; Range shifts; Species redistribution
ID SPECIES RICHNESS; EXTINCTION RISK; BIODIVERSITY; COMMUNITIES;
   DISTRIBUTIONS; ASSEMBLAGES; VEGETATION; GRADIENT; VELOCITY; IMPACT
AB Elevational range shifts of mountain species in response to climate change have profound impact on mountain biodiversity. However, current evidence indicates great controversies in the direction and magnitude of elevational range shifts across species and regions. Here, using historical and recent occurrence records of 83 plant species in a subtropical mountain, Mt. Gongga (Sichuan, China), we evaluated changes in species elevation centroids and limits (upper and lower) along elevational gradients, and explored the determinants of elevational changes. We found that 63.9% of the species shifted their elevation centroids upward, while 22.9% shifted downward. The changes in centroid elevations and range size were more strongly correlated with changes in lower than upper limits of species elevational ranges. The magnitude of centroid elevation shifts was larger than predicted by climate warming and precipitation changes. Our results show complex changes in species elevational distributions and range sizes in Mt. Gongga, and that climate change, species traits and climate adaptation of species all influenced their elevational movement. As Mt. Gongga is one of the global biodiversity hotspots, and contains many threatened plant species, these findings provide support to future conservation planning.
   (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
C1 [Zu, Kuiling; Wang, Zhiheng; Lyu, Tong; Luo, Ao; Li, Yaoqi; Ji, Chengjun; Peng, Shijia; Meng, Jiahui; Zhou, Jian] Peking Univ, Coll Urban & Environm Sci, Inst Ecol, Beijing 100871, Peoples R China.
   [Zu, Kuiling; Wang, Zhiheng; Lyu, Tong; Luo, Ao; Li, Yaoqi; Ji, Chengjun; Peng, Shijia; Meng, Jiahui; Zhou, Jian] Peking Univ, Coll Urban & Environm Sci, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China.
   [Zu, Kuiling; Zhu, Xiangyun] Chinese Acad Sci Beijing, State Key Lab Systemat & Evolutionary Bot, Inst Bot, Beijing 100093, Peoples R China.
   [Lenoir, Jonathan] Univ Picardie Jules Verne, UMR CNRS UPJV 7058, UR Ecol & Dynam Syst Anthropises EDYSAN, 1 Rue Louvels, F-80037 Amiens 1, France.
   [Shrestha, Nawal] Lanzhou Univ, Inst Innovat Ecol, State Key Lab Grassland Agroecosyst, Lanzhou 730000, Peoples R China.
C3 Peking University; Peking University; Universite de Picardie Jules Verne
   (UPJV); Lanzhou University
RP Wang, ZH (corresponding author), Peking Univ, Coll Urban & Environm Sci, Inst Ecol, Beijing 100871, Peoples R China.; Wang, ZH (corresponding author), Peking Univ, Coll Urban & Environm Sci, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China.
EM zhiheng.wang@pku.edu.cn
RI Zhou, Jian/KBC-8371-2024; Luo, Ao/HJZ-3541-2023; Li,
   Yaoqi/IAP-1515-2023; Lenoir, Jonathan/AAE-8441-2019; Wang,
   Zhiheng/G-1750-2010; Shrestha, Nawal/ABA-3021-2020
OI Shrestha, Nawal/0000-0002-6866-5100; Li, Yaoqi/0000-0001-6540-395X
FU Strategic Priority Research Program of Chinese Academy of Sciences
   [XDB31000000]; National Key Research and Development Program of China
   [2017YFA0605101]; National Natural Science Foundation of China
   [31988102, 31911530102]
FX This work was supported by the Strategic Priority Research Program of
   Chinese Academy of Sciences (XDB31000000) , the National Key Research
   and Development Program of China (#2017YFA0605101) and the National
   Natural Science Foundation of China (#31988102, #31911530102) . We thank
   the staffs of the Gongga Mountain National Nature Reserve and all the
   members of the Gongga team for their help in field surveys and specimen
   collection. We thank the Chinese Virtual Herbarium (CVH) , and
   Academician W. Wang, Prof. D. Fu, Prof. K. Lang and Prof. Q. Lin for
   their help in identifying specimens collected in our field surveys.
CR Aiello-Lammens ME, 2015, ECOGRAPHY, V38, P541, DOI 10.1111/ecog.01132
   Alexander JM, 2018, GLOBAL CHANGE BIOL, V24, P563, DOI 10.1111/gcb.13976
   Angert AL, 2011, ECOL LETT, V14, P677, DOI 10.1111/j.1461-0248.2011.01620.x
   [Anonymous], 2005, Last of the Wild Project, Version 2, 2005 (LWP-2): Global Human Influence Index (HII) Dataset (Geographic)
   [Anonymous], 2003, The Structure and Dynamics of Geographic Ranges
   [Anonymous], 1985, VEGETATION GONGGA MO
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Chen IC, 2009, P NATL ACAD SCI USA, V106, P1479, DOI 10.1073/pnas.0809320106
   Cheng WA, 2019, DIVERS DISTRIB, V25, P514, DOI 10.1111/ddi.12864
   Corlett RT, 2013, TRENDS ECOL EVOL, V28, P482, DOI 10.1016/j.tree.2013.04.003
   Crimmins SM, 2011, SCIENCE, V331, P324, DOI 10.1126/science.1199040
   Dauby G, 2016, PHYTOKEYS, P1, DOI 10.3897/phytokeys.74.9723
   Di Marco M, 2015, GLOBAL CHANGE BIOL, V21, P2169, DOI 10.1111/gcb.12834
   DUTILLEUL P, 1993, BIOMETRICS, V49, P305, DOI 10.2307/2532625
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   Elsen PR, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15881-x
   Feeley KJ, 2017, DIVERS DISTRIB, V23, P231, DOI 10.1111/ddi.12517
   Felde VA, 2012, ECOGRAPHY, V35, P922, DOI 10.1111/j.1600-0587.2011.07057.x
   Fourcade Y, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0097122
   Freeman BG, 2018, GLOBAL ECOL BIOGEOGR, V27, P1268, DOI 10.1111/geb.12774
   Freeman BG, 2018, P NATL ACAD SCI USA, V115, P11982, DOI 10.1073/pnas.1804224115
   Gottfried M, 2012, NAT CLIM CHANGE, V2, P111, DOI [10.1038/nclimate1329, 10.1038/NCLIMATE1329]
   Graham MH, 2003, ECOLOGY, V84, P2809, DOI 10.1890/02-3114
   Grytnes JA, 2014, GLOBAL ECOL BIOGEOGR, V23, P876, DOI 10.1111/geb.12170
   Guo FY, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03786-9
   Holzinger B, 2008, PLANT ECOL, V195, P179, DOI 10.1007/s11258-007-9314-9
   Hulme PE, 2017, BIOL REV, V92, P1297, DOI 10.1111/brv.12282
   Hutchinson M.F., 1998, Journal of Geographic Information and Decision Analysis, V2, P139, DOI [10.1186/s41044-017-0021-9, DOI 10.1186/S41044-017-0021-9]
   Inouye D.W., 2009, EFFECTS CLIMATE CHAN
   Jump AS, 2012, ECOGRAPHY, V35, P204, DOI 10.1111/j.1600-0587.2011.06984.x
   KRUPA SV, 1989, ENVIRON POLLUT, V61, P263, DOI 10.1016/0269-7491(89)90166-8
   Kumar S., 2009, J ECOL NAT ENV, P94
   La Sorte Frank A, 2010, Proc Biol Sci, V277, P3401, DOI 10.1098/rspb.2010.0612
   Lamprecht A, 2018, NEW PHYTOL, V220, P447, DOI 10.1111/nph.15290
   Lenoir, 2013, Encyclopedia of Biodiversity, P599, DOI [DOI 10.1016/B978-0-12-384719-5.00375-0, 10.1016/b978-0-12-384719-5.00375-0]
   Lenoir J, 2008, SCIENCE, V320, P1768, DOI 10.1126/science.1156831
   Lenoir J, 2015, ECOGRAPHY, V38, P15, DOI 10.1111/ecog.00967
   Lenoir J, 2010, ECOGRAPHY, V33, P295, DOI 10.1111/j.1600-0587.2010.06279.x
   Liang QL, 2018, J BIOGEOGR, V45, P1334, DOI 10.1111/jbi.13229
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Manne LL, 1999, NATURE, V399, P258, DOI 10.1038/20436
   Mantyka-Pringle CS, 2015, BIOL CONSERV, V187, P103, DOI 10.1016/j.biocon.2015.04.016
   Matteodo M, 2016, ECOL EVOL, V6, P6969, DOI 10.1002/ece3.2354
   Memmott J, 2007, ECOL LETT, V10, P710, DOI 10.1111/j.1461-0248.2007.01061.x
   Menéndez R, 2014, GLOBAL ECOL BIOGEOGR, V23, P646, DOI 10.1111/geb.12142
   Merow C, 2013, ECOGRAPHY, V36, P1058, DOI 10.1111/j.1600-0587.2013.07872.x
   Moritz C, 2008, SCIENCE, V322, P261, DOI 10.1126/science.1163428
   Morueta-Holme N, 2015, P NATL ACAD SCI USA, V112, P12741, DOI 10.1073/pnas.1509938112
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   National Seed and Seedling Center CAOF, 2001, SEEDS WOOD PLANTS CH
   Nogués-Bravo D, 2008, NATURE, V453, P216, DOI 10.1038/nature06812
   O'Sullivan KSW, 2021, ECOGRAPHY, V44, P112, DOI 10.1111/ecog.05334
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Pauli H, 2007, GLOBAL CHANGE BIOL, V13, P147, DOI 10.1111/j.1365-2486.2006.01282.x
   Pauli H, 2012, SCIENCE, V336, P353, DOI 10.1126/science.1219033
   Pepin N, 2015, NAT CLIM CHANGE, V5, P424, DOI [10.1038/nclimate2563, 10.1038/NCLIMATE2563]
   Pounds JA, 2006, NATURE, V439, P161, DOI 10.1038/nature04246
   Purvis A, 2000, P ROY SOC B-BIOL SCI, V267, P1947, DOI 10.1098/rspb.2000.1234
   R Core Team, 2019, R LANG ENV STAT COMP
   Rahbek C, 2019, SCIENCE, V365, P1108, DOI 10.1126/science.aax0149
   Rebetez M, 2008, THEOR APPL CLIMATOL, V91, P27, DOI 10.1007/s00704-007-0296-2
   Rowe KC, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2014.1857
   Rumpf SB, 2018, P NATL ACAD SCI USA, V115, P1848, DOI 10.1073/pnas.1713936115
   Sandel B, 2011, SCIENCE, V334, P660, DOI 10.1126/science.1210173
   Serra-Diaz JM, 2019, DIVERS DISTRIB, V25, P492, DOI 10.1111/ddi.12917
   Tang CQ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06837-3
   Telwala Y, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057103
   Tingley MW, 2012, GLOBAL CHANGE BIOL, V18, P3279, DOI 10.1111/j.1365-2486.2012.02784.x
   Tingley R, 2014, P NATL ACAD SCI USA, V111, P10233, DOI 10.1073/pnas.1405766111
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Wang SP, 2010, CHINESE SCI BULL, V55, P1968, DOI 10.1007/s11434-010-3236-y
   Wisz MS, 2013, BIOL REV, V88, P15, DOI 10.1111/j.1469-185X.2012.00235.x
   Wu YJ, 2013, J BIOGEOGR, V40, P2310, DOI 10.1111/jbi.12177
   Xu XN, 2020, J PLANT ECOL, V13, P649, DOI 10.1093/jpe/rtaa053
   Yalcin S, 2018, GLOBAL CHANGE BIOL, V24, P3849, DOI 10.1111/gcb.14169
   Zu KL, 2019, ECOL EVOL, V9, P9586, DOI 10.1002/ece3.5483
NR 76
TC 83
Z9 93
U1 16
U2 132
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD AUG 20
PY 2021
VL 783
AR 146896
DI 10.1016/j.scitotenv.2021.146896
EA APR 2021
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA SV4NR
UT WOS:000663798400003
PM 33866165
OA Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Ramírez-Valiente, JA
   Solé-Medina, A
   Pyhäjärvi, T
   Savolainen, O
   Cervantes, S
   Kesälahti, R
   Kujala, ST
   Kumpula, T
   Heer, K
   Opgenoorth, L
   Siebertz, J
   Danusevicius, D
   Notivol, E
   Benavides, R
   Robledo-Arnuncio, JJ
AF Ramirez-Valiente, Jose Alberto
   Sole-Medina, Aida
   Pyhajarvi, Tanja
   Savolainen, Outi
   Cervantes, Sandra
   Kesalahti, Robert
   Kujala, Sonja T.
   Kumpula, Timo
   Heer, Katrin
   Opgenoorth, Lars
   Siebertz, Jan
   Danusevicius, Darius
   Notivol, Eduardo
   Benavides, Raquel
   Robledo-Arnuncio, Juan Jose
TI Selection patterns on early-life phenotypic traits in <i>Pinus
   sylvestris</i> are associated with precipitation and temperature along a
   climatic gradient in Europe
SO NEW PHYTOLOGIST
LA English
DT Article
DE climate adaptation; emergence time; growth rate; intraspecific genetic
   variation; natural selection; phenotypic plasticity; seed mass; seedling
   mortality
ID EARLY SEEDLING GROWTH; TREE MORTALITY; SCOTS PINE; NATURAL-SELECTION;
   LOCAL ADAPTATION; ECOPHYSIOLOGICAL TRAITS; ESTABLISHMENT SUCCESS;
   ASSISTED MIGRATION; GENETIC-VARIATION; FROST HARDINESS
AB Understanding the dynamics of selection is key to predicting the response of tree species to new environmental conditions in the current context of climate change. However, selection patterns acting on early recruitment stages and their climatic drivers remain largely unknown in most tree species, despite being a critical period of their life cycle.
   We measured phenotypic selection on Pinus sylvestris seed mass, emergence time and early growth rate over 2 yr in four common garden experiments established along the latitudinal gradient of the species in Europe.
   Significant phenotypic plasticity and among-population genetic variation were found for all measured phenotypic traits. Heat and drought negatively affected fitness in the southern sites, but heavy rainfalls also decreased early survival in middle latitudes. Climate-driven directional selection was found for higher seed mass and earlier emergence time, while the form of selection on seedling growth rates differed among sites and populations. Evidence of adaptive and maladaptive phenotypic plasticity was found for emergence time and early growth rate, respectively.
   Seed mass, emergence time and early growth rate have an adaptive role in the early stages of P. sylvestris and climate strongly influences the patterns of selection on these fitness-related traits.
C1 [Ramirez-Valiente, Jose Alberto; Sole-Medina, Aida; Robledo-Arnuncio, Juan Jose] INIA CIFOR, Dept Forest Ecol & Genet, Ctra Coruna Km 7-5, Madrid 28040, Spain.
   [Sole-Medina, Aida] Univ Rey Juan Carlos, Escuela Int Doctorado, C Tulipan S-N, Mostoles 28933, Spain.
   [Pyhajarvi, Tanja; Savolainen, Outi; Cervantes, Sandra; Kesalahti, Robert; Kujala, Sonja T.; Kumpula, Timo] Univ Oulu, Dept Ecol & Genet, FIN-90014 Oulu, Finland.
   [Pyhajarvi, Tanja; Cervantes, Sandra] Univ Oulu, Bioctr Oulu, FIN-90014 Oulu, Finland.
   [Kujala, Sonja T.] Nat Resources Inst Finland Luke, Jokioinen 90570, Finland.
   [Heer, Katrin] Philipps Univ Marburg, Conservat Biol, Karl von Frisch Str 8, D-35043 Marburg, Germany.
   [Opgenoorth, Lars; Siebertz, Jan] Philipps Univ Marburg, Plant Ecol & Geobot, Karl von Frisch Str 8, D-35043 Marburg, Germany.
   [Opgenoorth, Lars] Swiss Fed Res Inst WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
   [Danusevicius, Darius] Vytautas Magnus Univ, Fac Forest Sci & Ecol, Studentu Str 11, LT-53361 Kaunas, Lithuania.
   [Notivol, Eduardo] Ctr Invest & Tecnol Agroalimentaria Aragon CITA, Unidad Recursos Forestales, Avda Montanana 930, Zaragoza 50059, Spain.
   [Benavides, Raquel] CSIC, Museo Nacl Ciencias Nat, LINCGlobal, Dept Biogeog & Global Change, C Jose Gutierrez Abascal 2, Madrid 28006, Spain.
C3 Instituto Nacional Investigacion Tecnologia Agraria Alimentaria (INIA);
   Universidad Rey Juan Carlos; University of Oulu; University of Oulu;
   Natural Resources Institute Finland (Luke); Philipps University Marburg;
   Philipps University Marburg; Swiss Federal Institutes of Technology
   Domain; Swiss Federal Institute for Forest, Snow & Landscape Research;
   Vytautas Magnus University; Consejo Superior de Investigaciones
   Cientificas (CSIC); CSIC - Museo Nacional de Ciencias Naturales (MNCN)
RP Ramírez-Valiente, JA (corresponding author), INIA CIFOR, Dept Forest Ecol & Genet, Ctra Coruna Km 7-5, Madrid 28040, Spain.
EM josealberto.ramirezvaliente@gmail.com
RI Opgenoorth, Lars/C-9624-2018; Benavides, Raquel/AAQ-5427-2020;
   Pyhäjärvi, Tanja/ABD-4161-2021; Solé-Medina, Aida/AHD-7295-2022;
   Ramirez-Valiente, Jose/ABF-1097-2020; Cervantes, Sandra/LLM-2229-2024;
   Danusevicius, Darius/AAH-5599-2021; Notivol, Eduardo/D-3045-2011; Heer,
   Katrin/C-6725-2018; Ramirez-Valiente, Jose Alberto/G-7850-2016;
   Robledo-Arnuncio, Juan Jose/G-6792-2012
OI Kumpula, Timo/0000-0002-6124-8929; Kesalahti,
   Robert/0000-0002-2694-7302; Opgenoorth, Lars/0000-0003-0737-047X;
   Notivol, Eduardo/0000-0003-4272-4536; Heer, Katrin/0000-0002-1036-599X;
   Ramirez-Valiente, Jose Alberto/0000-0002-5951-2938; Pyhajarvi,
   Tanja/0000-0001-6958-5172; Cervantes Arango, Sandra
   Edith/0000-0003-0793-5784; Kujala, Sonja Tuulia/0000-0003-0949-6156;
   Benavides, Raquel/0000-0003-2328-5371; Robledo-Arnuncio, Juan
   Jose/0000-0002-3909-8928; Savolainen, Outi/0000-0001-9851-7945;
   Sole-Medina, Aida/0000-0001-6681-2747; Danusevicius,
   Darius/0000-0002-1196-9293
FU European Union [676876]; PhD fellowship (FPI-SGIT-INIA); Academy of
   Finland [287431]; Academy of Finland (AKA) [287431] Funding Source:
   Academy of Finland (AKA)
FX This study was funded by the European Union Horizon 2020 research and
   innovation program under grant agreement no. 676876 (GenTree project).
   ASM was supported by a PhD fellowship (FPI-SGIT-INIA) and TP by the
   Academy of Finland (287431). We are greatly indebted to all GenTree
   partner teams that participated in the seed collection campaigns: NIBIO,
   NERC, CNR, WSL, INRA and THUNEN. Finnish seeds were provided by Natural
   Resources Institute Finland, (LUKE). We thank Eduardo Ballesteros,
   Julius Bette, Fernando del Cano, Tabea Mackenbach, Tuomas Hamala, Sergio
   San Segundo, Ricardo Alia, Jose Climent, Silvia Matesanz, Mario
   Blanco-Sanchez, Marina Ramos-Munoz, Tiina M. Mattila, Weixuan Ning and
   Dario I. Ojeda for fieldwork assistance. We thank Ricardo Alia, Jose
   Climent and Regina Chambel for suggestions and comments on earlier
   versions of the manuscript and Silvia Matesanz for her suggestions on
   the final versions of the manuscript. We thank the staff at the Servicio
   Territorial de Medio Ambiente de Segovia for the authorization and
   assistance in establishing the Spanish experimental site. We also thank
   AEMET for providing the data of the climatic station next to the Spanish
   experimental site.
CR Adams HD, 2009, P NATL ACAD SCI USA, V106, P7063, DOI 10.1073/pnas.0901438106
   Agrawal AF, 2009, P ROY SOC B-BIOL SCI, V276, P1183, DOI 10.1098/rspb.2008.1671
   Alfa R, 2014, BMC EVOL BIOL, V14, DOI 10.1186/s12862-014-0200-5
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Anderegg WRL, 2019, GLOBAL CHANGE BIOL, V25, P3793, DOI 10.1111/gcb.14771
   Anderegg WRL, 2013, NAT CLIM CHANGE, V3, P30, DOI 10.1038/nclimate1635
   Tíscar PA, 2018, FOREST ECOL MANAG, V409, P719, DOI 10.1016/j.foreco.2017.12.014
   Assis APA, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.1615
   Benard RB, 2007, INT J PLANT SCI, V168, P1027, DOI 10.1086/518942
   Benavides R, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0059824
   Bladé C, 2008, FOREST ECOL MANAG, V255, P2362, DOI 10.1016/j.foreco.2007.12.039
   Calvo L, 2016, ANN FOREST SCI, V73, P381, DOI 10.1007/s13595-015-0527-0
   Caruso CM, 2006, EVOLUTION, V60, P980, DOI 10.1554/06-050.1
   Castro J., 2006, Handbook of seed science and technology, P397
   Castro J, 2005, PLANT ECOL, V181, P191, DOI 10.1007/s11258-005-6626-5
   Castro J, 1999, NEW PHYTOL, V144, P153, DOI 10.1046/j.1469-8137.1999.00495.x
   Castro J, 2006, ANN BOT-LONDON, V98, P1233, DOI 10.1093/aob/mcl208
   Cavender-Bares J, 2000, OECOLOGIA, V124, P8, DOI 10.1007/PL00008865
   Cendán C, 2013, ENVIRON EXP BOT, V94, P66, DOI 10.1016/j.envexpbot.2011.11.022
   Chambel MR, 2007, ANN FOREST SCI, V64, P87, DOI 10.1051/forest:2006092
   Chatterjee S., 2013, Regression analysis by example
   COX DR, 1972, J R STAT SOC B, V34, P187
   Cregg BM, 2001, FOREST ECOL MANAG, V154, P131, DOI 10.1016/S0378-1127(00)00626-5
   Damián X, 2020, NEW PHYTOL, V225, P546, DOI 10.1111/nph.16116
   Davis MB, 2005, ECOLOGY, V86, P1704, DOI 10.1890/03-0788
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   de Chantal M, 2003, FOREST ECOL MANAG, V176, P321, DOI 10.1016/S0378-1127(02)00273-6
   de la Mata R, 2017, P NATL ACAD SCI USA, V114, P7391, DOI 10.1073/pnas.1700032114
   Deacon NJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0138783
   Donohue K, 2002, ECOLOGY, V83, P1006, DOI 10.1890/0012-9658(2002)083[1006:GTINSO]2.0.CO;2
   Donohue K, 2014, EVOLUTION, V68, P32, DOI 10.1111/evo.12284
   Donohue K, 2010, ANNU REV ECOL EVOL S, V41, P293, DOI 10.1146/annurev-ecolsys-102209-144715
   Donovan LA, 2009, NEW PHYTOL, V183, P868, DOI 10.1111/j.1469-8137.2009.02916.x
   Donovan LA, 2007, OECOLOGIA, V152, P13, DOI 10.1007/s00442-006-0627-5
   Dyer AR, 2004, PLANT ECOL, V172, P211, DOI 10.1023/B:VEGE.0000026339.61069.33
   Easton LC, 2008, FOLIA GEOBOT, V43, P383, DOI 10.1007/s12224-008-9021-x
   Etterson JR, 2001, SCIENCE, V294, P151, DOI 10.1126/science.1063656
   Etterson JR, 2004, EVOLUTION, V58, P1446, DOI 10.1111/j.0014-3820.2004.tb01726.x
   Etterson JR, 2020, ECOL APPL, V30, DOI 10.1002/eap.2092
   Fairbairn Daphne J., 2001, P29
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fox J., 2018, An R Companion to Applied Regression
   Germino MJ, 2019, ECOL APPL, V29, DOI 10.1002/eap.1842
   Gianoli E, 2012, BIOL J LINN SOC, V105, P1, DOI 10.1111/j.1095-8312.2011.01793.x
   Gibson AL, 2016, EVOL APPL, V9, P1219, DOI 10.1111/eva.12379
   Gómez JM, 2004, EVOLUTION, V58, P71, DOI 10.1111/j.0014-3820.2004.tb01574.x
   Hengl T, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169748
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Hurme P, 1997, CAN J FOREST RES, V27, P716, DOI 10.1139/cjfr-27-5-716
   IPCC Climate Change, 2013, PHYS SCI BAS IPCC WO, P953
   Jacob D, 2014, REG ENVIRON CHANGE, V14, P563, DOI 10.1007/s10113-013-0499-2
   Janzen FJ, 1998, EVOLUTION, V52, P1564, DOI 10.1111/j.1558-5646.1998.tb02237.x
   Kingsolver JG, 2007, BIOSCIENCE, V57, P561, DOI 10.1641/B570706
   Kramer K, 2008, FOREST ECOL MANAG, V255, P3893, DOI 10.1016/j.foreco.2008.03.044
   Kujala ST, 2017, HEREDITY, V118, P413, DOI 10.1038/hdy.2016.115
   Kuparinen A, 2010, FOREST ECOL MANAG, V259, P1003, DOI 10.1016/j.foreco.2009.12.006
   Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
   Larson JE, 2015, J APPL ECOL, V52, P199, DOI 10.1111/1365-2664.12350
   Lebrija-Trejos E, 2016, ECOL LETT, V19, P1071, DOI 10.1111/ele.12643
   Leishman M. R., 2000, Seeds: the ecology of regeneration in plant communities, P31, DOI 10.1079/9780851994321.0031
   Leslie AB, 2017, NEW PHYTOL, V216, P429, DOI 10.1111/nph.14456
   Lhotka O, 2018, THEOR APPL CLIMATOL, V131, P1043, DOI 10.1007/s00704-016-2031-3
   Lindgren K, 1992, SCAND J FOREST RES, V7, P309, DOI 10.1080/02827589209382723
   Liu YJ, 2016, ANN BOT-LONDON, V118, P1329, DOI 10.1093/aob/mcw180
   Lloret F, 1999, FUNCT ECOL, V13, P210, DOI 10.1046/j.1365-2435.1999.00309.x
   Matesanz S, 2010, ANN NY ACAD SCI, V1206, P35, DOI 10.1111/j.1749-6632.2010.05704.x
   Matías L, 2014, J EXP BOT, V65, P299, DOI 10.1093/jxb/ert376
   Matías L, 2012, FOREST ECOL MANAG, V282, P10, DOI 10.1016/j.foreco.2012.06.053
   McLane SC, 2012, ECOL APPL, V22, P142, DOI 10.1890/11-0329.1
   Mediavilla S, 2004, FOREST ECOL MANAG, V187, P281, DOI 10.1016/j.foreco.2003.07.006
   MITCHELLOLDS T, 1987, EVOLUTION, V41, P1149, DOI [10.2307/2409084, 10.1111/j.1558-5646.1987.tb02457.x]
   Moles AT, 2004, AUSTRAL ECOL, V29, P383, DOI 10.1111/j.1442-9993.2004.01374.x
   Morin X, 2008, J ECOL, V96, P784, DOI 10.1111/j.1365-2745.2008.01369.x
   Niu SL, 2014, ENVIRON EXP BOT, V98, P13, DOI 10.1016/j.envexpbot.2013.10.004
   Notivol E, 2007, CAN J FOREST RES, V37, P540, DOI 10.1139/X06-243
   Parker WC, 2006, NEW FOREST, V32, P33, DOI 10.1007/s11056-005-3391-1
   Peng CH, 2011, NAT CLIM CHANGE, V1, P467, DOI 10.1038/NCLIMATE1293
   Persson T, 2010, SILVA FENN, V44, P255, DOI 10.14214/sf.152
   PHILLIPS PC, 1989, EVOLUTION, V43, P1209, DOI 10.1111/j.1558-5646.1989.tb02569.x
   Piepho HP, 2015, AGRON J, V107, P2263, DOI 10.2134/agronj15.0144
   Pournelle G. H., 1953, Journal of Mammalogy, V34, P133
   Ramírez-Valiente JA, 2015, BIOL CONSERV, V192, P331, DOI 10.1016/j.biocon.2015.10.011
   Ramírez-Valiente JA, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-015-0856-z
   Ramírez-Valiente JA, 2009, FOREST ECOL MANAG, V257, P1676, DOI 10.1016/j.foreco.2009.01.024
   Rehfeldt GE, 2002, GLOBAL CHANGE BIOL, V8, P912, DOI 10.1046/j.1365-2486.2002.00516.x
   Reich PB, 2008, ECOL LETT, V11, P588, DOI 10.1111/j.1461-0248.2008.01172.x
   REICH PB, 1994, CAN J FOREST RES, V24, P306, DOI 10.1139/x94-044
   de Casas RR, 2017, NEW PHYTOL, V214, P1527, DOI 10.1111/nph.14498
   Rueda M, 2017, GLOBAL ECOL BIOGEOGR, V26, P31, DOI 10.1111/geb.12511
   Salazar-Tortosa D, 2020, EVOL ECOL, V34, P11, DOI 10.1007/s10682-019-10016-1
   Salmela MJ, 2013, PLANT ECOL DIVERS, V6, P523, DOI 10.1080/17550874.2013.795627
   Savolainen O, 2004, FOREST ECOL MANAG, V197, P79, DOI 10.1016/j.foreco.2004.05.006
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   SCHLUTER D, 1988, EVOLUTION, V42, P849, DOI [10.2307/2408904, 10.1111/j.1558-5646.1988.tb02507.x]
   Seidel H, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01247
   Seiwa K, 1996, VEGETATIO, V123, P51, DOI 10.1007/BF00044887
   Seiwa K, 2000, OECOLOGIA, V123, P208, DOI 10.1007/s004420051007
   Semerci A, 2017, EUR J FOREST RES, V136, P91, DOI 10.1007/s10342-016-1011-6
   SHAANKER RU, 1988, ANNU REV ECOL SYST, V19, P177, DOI 10.1146/annurev.es.19.110188.001141
   Shaw RG, 2012, NEW PHYTOL, V195, P752, DOI 10.1111/j.1469-8137.2012.04230.x
   Shimono Y, 2003, ANN BOT-LONDON, V91, P21, DOI 10.1093/aob/mcg002
   Simons AM, 2000, AM J BOT, V87, P124, DOI 10.2307/2656690
   Solé-Medina A, 2020, AOB PLANTS, V12, DOI 10.1093/aobpla/plaa019
   Stinchcombe JR, 2008, EVOLUTION, V62, P2435, DOI 10.1111/j.1558-5646.2008.00449.x
   Stott P, 2016, SCIENCE, V352, P1517, DOI 10.1126/science.aaf7271
   STRATTON DA, 1992, EVOLUTION, V46, P92, DOI [10.2307/2409807, 10.1111/j.1558-5646.1992.tb01987.x]
   Suárez-Vidal E, 2017, ENVIRON EXP BOT, V134, P45, DOI 10.1016/j.envexpbot.2016.11.001
   SURLES SE, 1993, CAN J FOREST RES, V23, P1550, DOI 10.1139/x93-195
   Oliver PAT, 2010, FOREST SYST, V19, P344
   Ukrainetz NK, 2011, CAN J FOREST RES, V41, P1452, DOI [10.1139/X11-060, 10.1139/x11-060]
   van Kleunen M, 2005, NEW PHYTOL, V166, P49, DOI 10.1111/j.1469-8137.2004.01296.x
   van Mantgem PJ, 2009, SCIENCE, V323, P521, DOI 10.1126/science.1165000
   Van Mölken T, 2005, AM J BOT, V92, P432, DOI 10.3732/ajb.92.3.432
   Verdú M, 2005, ECOLOGY, V86, P1385, DOI 10.1890/04-1647
   Vizcaíno-Palomar N, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109132
   Vleeshouwers LM, 1995, J ECOL, V83, P1031, DOI 10.2307/2261184
   WADE MJ, 1989, EVOLUTION, V43, P1567, DOI [10.2307/2409471, 10.1111/j.1558-5646.1989.tb02606.x]
   Wahid N, 2013, NEW FOREST, V44, P385, DOI 10.1007/s11056-012-9348-2
   Walck JL, 2011, GLOBAL CHANGE BIOL, V17, P2145, DOI 10.1111/j.1365-2486.2010.02368.x
   Warwell MV, 2019, EVOL APPL, V12, P159, DOI 10.1111/eva.12685
   Warwell MV, 2018, J EVOLUTION BIOL, V31, P1284, DOI 10.1111/jeb.13301
   Wennström U, 2002, SCAND J FOREST RES, V17, P118, DOI 10.1080/028275802753626764
   WESTOBY M, 1992, TRENDS ECOL EVOL, V7, P368, DOI 10.1016/0169-5347(92)90006-W
   Westoby M, 2002, ANNU REV ECOL SYST, V33, P125, DOI 10.1146/annurev.ecolsys.33.010802.150452
   Whitaker D., 2002, CycDesigN: A package for the computer generation of experimental designs
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Williams AP, 2013, NAT CLIM CHANGE, V3, P292, DOI [10.1038/NCLIMATE1693, 10.1038/nclimate1693]
   Zas R, 2013, HEREDITY, V111, P248, DOI 10.1038/hdy.2013.44
NR 129
TC 15
Z9 16
U1 2
U2 47
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 MAR
PY 2021
VL 229
IS 5
BP 3009
EP 3025
DI 10.1111/nph.17029
EA NOV 2020
PG 17
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA QG6IA
UT WOS:000591172500001
PM 33098590
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Orru, K
   Tillmann, M
   Ebi, KL
   Orru, H
AF Orru, Kati
   Tillmann, Mari
   Ebi, Kristie L.
   Orru, Hans
TI Making Administrative Systems Adaptive to Emerging Climate
   Change-Related Health Effects: Case of Estonia
SO ATMOSPHERE
LA English
DT Article
DE health systems; climate adaptation; health infrastructure; rescue
   services; Northern Europe
ID ECONOMIC RECESSION; CHANGE ADAPTATION; POLICY; PERCEPTIONS; GOVERNANCE;
   EXPERIENCE; FRAMEWORK; EFFICACY; WEATHER
AB To facilitate resilience to a changing climate, it is necessary to go beyond quantitative studies and take an in-depth look at the functioning of health systems and the variety of drivers shaping its effectiveness. We clarify the factors determining the effectiveness of the Estonian health system in assessing and managing the health risks of climate change. Document analyses, expert interviews with key informants from health systems whose responsibilities are relevant to climate change, and analysis of a population-based survey conducted in 2015, indicate that the health effects of climate change have not been mainstreamed into policy. Therefore, many of the potential synergistic effects of combining information on health systems, environment, and vulnerable populations remain unexploited. The limited uptake of the issue of climate change-related health risks may be attributed to the lack of experience with managing extreme weather events; limited understanding of how to incorporate projections of longer-term health risks into policies and plans; unclear divisions of responsibility; and market liberal state approaches. Minority groups and urban dwellers are placing strong pressure on the health system to address climate change-related risks, likely due to their lower levels of perceived control over their physical wellbeing. The results have implications for national, community, and individual resilience in upper-middle income countries in Eastern Europe.
C1 [Orru, Kati] Univ Tartu, Inst Social Sci, Lossi 36, EE-51003 Tartu, Estonia.
   [Tillmann, Mari] Estonian Police & Border Guard Board, Parnu Mnt 139, EE-15060 Tallinn, Estonia.
   [Ebi, Kristie L.] Univ Washington, Dept Global Hlth, Seattle, WA 98105 USA.
   [Orru, Hans] Univ Tartu, Inst Family Med & Publ Hlth, Ravila 19, EE-50411 Tartu, Estonia.
   [Orru, Hans] Umea Univ, Dept Publ Hlth & Clin Med, S-90187 Umea, Sweden.
C3 University of Tartu; University of Washington; University of Washington
   Seattle; University of Tartu; Umea University
RP Orru, K (corresponding author), Univ Tartu, Inst Social Sci, Lossi 36, EE-51003 Tartu, Estonia.
EM kati.orru@ut.ee; mari.tillmann@politsei.ee; krisebi@uw.edu;
   hans.orru@ut.ee
RI Ebi, Kristie/AFK-6769-2022; Orru, Kati/HQY-1108-2023; Orru,
   Hans/B-1324-2019
OI Orru, Hans/0000-0002-7965-9451
FU HEALTHDOX project - NORFACE Programme [MSHUH14155]; Estonian Ministry of
   Education and Research [IUT34-17]
FX K.O.'s work on the preparation of this article was supported by the
   HEALTHDOX project (MSHUH14155) financed by NORFACE Programme. H.O.'s
   work on the preparation of this article was supported by the Estonian
   Ministry of Education and Research grant IUT34-17.
CR Air Quality Management System, SEIR
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   Anders I, 2014, ADV GLOB CHANGE RES, V58, P17, DOI 10.1007/978-94-007-7960-0_2
   [Anonymous], 2003, The social Amplification of Risk, DOI DOI 10.1017/CBO9780511550461
   [Anonymous], GLOB HLTH OBS DAT RE
   [Anonymous], 2009, WHIT PAP AD CLIM CHA
   Austin SE, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13090889
   Austin SE, 2015, INT J ENV RES PUB HE, V12, P623, DOI 10.3390/ijerph120100623
   Barriopedro D, 2011, SCIENCE, V332, P220, DOI 10.1126/science.1201224
   Biesenbender S, 2014, GLOBAL ENVIRON CHANG, V29, P424, DOI 10.1016/j.gloenvcha.2014.04.001
   Bouwer LM, 2006, DISASTERS, V30, P49, DOI 10.1111/j.1467-9523.2006.00306.x
   Bowen KJ, 2015, CURR OPIN ENV SUST, V12, P80, DOI 10.1016/j.cosust.2014.12.001
   Bowen KJ, 2013, GLOBAL HEALTH ACTION, V6, P1, DOI 10.3402/gha.v6i0.21820
   Braun M, 2014, JCMS-J COMMON MARK S, V52, P445, DOI 10.1111/jcms.12101
   Brouwer S, 2013, ENVIRON PLANN C, V31, P134, DOI 10.1068/c11134
   Bulkeley H, 2012, ENVIRON PLANN C, V30, P556, DOI 10.1068/c3004ed
   Creutzig F, 2014, GLOB POLICY, V5, P6, DOI 10.1111/1758-5899.12156
   Demski C, 2017, CLIMATIC CHANGE, V140, P149, DOI 10.1007/s10584-016-1837-4
   [Dietz T. National Academy of Science National Academy of Science], 2008, Public Participation in Environmental Assessment and Decision Making
   Estonian State Weather Service, SUNSH
   Estonian State Weather Service, SON
   Estonian State Weather Service, 2016, HIGH RES OP MOD BALT
   European Commission, 2017, SPEC EUR 459 REP CLI
   Giorgi F., 2015, CONNECTIONS POLLEN C
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Gupta S., 2014, IPCC WORKING GROUP 3
   Guy Peters B., 2015, Pursuing Horizontal Management, The Politics of Public Sector Coordination
   Hamaoui-Laguel L, 2015, NAT CLIM CHANGE, V5, P766, DOI [10.1038/nclimate2652, 10.1038/NCLIMATE2652]
   Health Board, 2013, RISK AN EM SIT REL E
   Hess JJ, 2012, ENVIRON HEALTH PERSP, V120, P171, DOI 10.1289/ehp.1103515
   Hildén M, 2014, ENVIRON POLIT, V23, P884, DOI 10.1080/09644016.2014.924205
   Hildén M, 2014, ENVIRON POLIT, V23, P839, DOI 10.1080/09644016.2014.924199
   Hood C, 2001, GOVT RISK UNDERSTAND
   Howlett M, 2014, GLOBAL ENVIRON CHANG, V29, P395, DOI 10.1016/j.gloenvcha.2013.12.009
   Jordan A, 2014, ENVIRON POLIT, V23, P715, DOI 10.1080/09644016.2014.923614
   Jordan A, 2010, ENVIRON POLICY GOV, V20, P147, DOI 10.1002/eet.539
   Kellstedt PM, 2008, RISK ANAL, V28, P113, DOI 10.1111/j.1539-6924.2008.01010.x
   Kieny MP, 2017, B WORLD HEALTH ORGAN, V95, P537, DOI 10.2471/BLT.16.187476
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Knaggård Å, 2014, POLICY STUD-UK, V35, P22, DOI 10.1080/01442872.2013.804175
   Macias T, 2016, ETHNICITIES, V16, P111, DOI 10.1177/1468796815575382
   Massey D, 2014, AUST CRIT CARE, V27, P133, DOI 10.1016/j.aucc.2013.11.001
   May PJ, 2011, POLICY STUD J, V39, P285, DOI 10.1111/j.1541-0072.2011.00408.x
   McDonald RI, 2015, J ENVIRON PSYCHOL, V44, P109, DOI 10.1016/j.jenvp.2015.10.003
   Milfont TL, 2012, RISK ANAL, V32, P1003, DOI 10.1111/j.1539-6924.2012.01800.x
   Ministry of Environment, 2007, EST ENV ACT PLAN 200
   Ministry of Environment, 2007, EST ENV STRAT 2030
   Ministry of Environment, 2011, REP ASS FLOOD RISKS
   Ministry of Environment, 2015, PROP COMP ACT PLAN C
   Ministry of Environment, 2017, CLIM CHANG AD DEV PL
   Ministry of Interior, 2013, RISK AN EM SIT 2013
   Ministry of Interior, 2013, LIST EM ACC WHICH RI
   Ministry of Interior, 2013, PLAN SOLV EM DUO STO
   Ministry of Interior, 2013, PLAN SOLV EM DUE FLO
   [Ministry of Interior RT I 2017 1], 2017, LAW CHANG LAW EM SIT
   Ministry of Interior, 2015, DEV PLAN INT SEC 201
   Ministry of Social Affairs, 2009, DEV PLAN PRIM CAR 20
   Ministry of Social Affairs, 2008, ACT PLAN NAT HLTH PL
   Mölter T, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7040060
   Ollila E, 2011, SCAND J PUBLIC HEALT, V39, P11, DOI 10.1177/1403494810379895
   Orru H, 2017, Curr Environ Health Rep, V4, P504, DOI 10.1007/s40572-017-0168-6
   Orru H., 2015, KLIIMAMUUTUSTE MOJUD, P162
   Orru K., 2015, KESKKONNATERVIS ARUS
   Orru K, 2015, ENVIRON PLANN A, V47, P356, DOI 10.1068/a130295p
   Portier C.J., 2010, A Human Health Perspective on Climate Change
   Rauken T, 2015, LOCAL ENVIRON, V20, P408, DOI 10.1080/13549839.2014.880412
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Reile R, 2014, J EPIDEMIOL COMMUN H, V68, P1072, DOI 10.1136/jech-2014-204196
   Reser JP, 2014, WIRES CLIM CHANGE, V5, P521, DOI 10.1002/wcc.286
   Roose A., 2015, PUBL I GEOGR U TARTU, V112, P6
   Rothstein H, 2019, SOCIO-ECON REV, V17, P993, DOI 10.1093/ser/mwx029
   Scruggs L, 2012, GLOBAL ENVIRON CHANG, V22, P505, DOI 10.1016/j.gloenvcha.2012.01.002
   Sellers S, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15010003
   Semenza JC, 2012, ENVIRON HEALTH PERSP, V120, P385, DOI 10.1289/ehp.1103805
   Shum RY, 2012, CLIM POLICY, V12, P38, DOI 10.1080/14693062.2011.579316
   Shwom R, 2010, GLOBAL ENVIRON CHANG, V20, P472, DOI 10.1016/j.gloenvcha.2010.02.003
   Skj?rseth J.B., 2007, INT ENVIRON AGREEM-P, V7, P263, DOI DOI 10.1007/S10784-007-9033-7
   Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709
   Spence Alexa., 2010, UNDERSTANDING RISK G
   Tompkins EL, 2008, ENVIRON SCI POLICY, V11, P1, DOI 10.1016/j.envsci.2007.06.004
   Tosun J, 2017, POLICY STUD-UK, V38, P553, DOI 10.1080/01442872.2017.1339239
   Uustal T., 2016, DEV PLAN ADAPTING CL
   Vihalemm T, 2015, SOLV SOC PROB, P1
   Wardekker JA, 2012, ENVIRON HEALTH-GLOB, V11, DOI 10.1186/1476-069X-11-67
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   WHO, 2015, Operational framework for building climate resilient health systems
   World Bank, RUR POP IND
NR 87
TC 7
Z9 7
U1 0
U2 16
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD JUN
PY 2018
VL 9
IS 6
AR 221
DI 10.3390/atmos9060221
PG 19
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GK6DE
UT WOS:000436271900019
OA gold, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Li, SY
   Liu, XG
   Wang, S
   Hao, DY
   Xi, JH
AF Li Shanyu
   Liu Xiangguo
   Wang Shang
   Hao Dongyun
   Xi Jinghui
TI Proteomics Dissection of Cold Responsive Proteins Based on PEG
   Fractionation in <i>Arabidopsis</i>
SO CHEMICAL RESEARCH IN CHINESE UNIVERSITIES
LA English
DT Article
DE Arabidopsis thaliana; Cold stress; Proteome; Protein fractionation
ID DIFFERENTIALLY EXPRESSED PROTEINS; SUCROSE-BIOSYNTHESIS PATHWAY;
   LOW-TEMPERATURE; STRESS RESPONSES; GENE-EXPRESSION; SERINE
   HYDROXYMETHYLTRANSFERASE; FREEZING TOLERANCE; CARBON METABOLISM;
   SHORT-TERM; ACCLIMATION
AB Proteome profiling was performed on Arabidopsis plant exposed to cold stress at 4 degrees C for 24 h in an attempt to explore the mechanisms of plant climate adaptation. The polyethylene glycol(PEG) fractionation protocol developed in this lab was used to identify as many differentially expressed low-abundance proteins as possible. In comparison with those of the biological controls, 67 protein spots with at least two-fold difference in expression were identified for the plant exposed to cold temperatures; and from these spots, 50 proteins were successfully identified by matrix-assisted laser desorption/ionization time of flight mass spectrometry(MALDI-TOF MS). Bioinformatics studies on these proteins show that 57.8% of these proteins were localized in the chloroplast. Of these proteins, 8 ones have functions in photosynthesis, including glycine hydroxymethyltransferase, Rubisco large subunit, Rubisco activase, PSBO2, fructose-1,6-bisphosphate aldolase, NADP-dependent malate dehydrogenase, sedoheptulose bisphosphatase and photosystem II reaction center PsbP family protein, suggesting that photosynthesis is greatly affected by cold stress. The identified proteins were validated by quantitative real-time polymerase chain reaction(qPCR). Taken together, our results suggest that the chloroplast might also act as a cold stress sensor and that photosynthesis-related proteins may play important roles in cold acclimation for Arabidopsis.
C1 [Wang Shang; Xi Jinghui] Jilin Univ, Coll Plant Sci, Changchun 130062, Peoples R China.
   [Li Shanyu] Jilin Univ, Hosp 1, Changchun 130021, Peoples R China.
   [Liu Xiangguo; Hao Dongyun] Jilin Acad Agr Sci, Biotechnol Res Ctr, Changchun 130124, Peoples R China.
C3 Jilin University; Jilin University; Jilin Academy of Agricultural
   Sciences
RP Xi, JH (corresponding author), Jilin Univ, Coll Plant Sci, Changchun 130062, Peoples R China.
EM jhxi1965@jlu.edu.cn
RI Liu, Xiangguo/HZL-0087-2023; w, s/IUO-2655-2023
FU National Natural Science Foundation of China [30470159]; Public Benefit
   Research Foundation of Ministry of Agriculture of China [201003025];
   World Bank Loan Project from Department of Finance of Jilin Province,
   China [2011-Z19]
FX Supported by the National Natural Science Foundation of China(No.
   30470159), the Public Benefit Research Foundation of Ministry of
   Agriculture of China(No. 201003025) and the World Bank Loan Project from
   Department of Finance of Jilin Province, China(No.2011-Z19).
CR An D, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-64
   Bae MS, 2003, PLANT J, V36, P652, DOI 10.1046/j.1365-313X.2003.01907.x
   BOYER JS, 1982, SCIENCE, V218, P443, DOI 10.1126/science.218.4571.443
   BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
   BRUGGEMANN W, 1995, ACTA PHYSIOL PLANT, V17, P113
   Cui SX, 2005, PROTEOMICS, V5, P3162, DOI 10.1002/pmic.200401148
   Gonzali S, 2001, PLANT SCI, V160, P1107, DOI 10.1016/S0168-9452(01)00350-8
   Goulas E, 2006, PLANT J, V47, P720, DOI 10.1111/j.1365-313X.2006.02821.x
   He Y, 2009, PLANT J, V60, P679, DOI 10.1111/j.1365-313X.2009.03990.x
   HURRY VM, 1994, PLANT PHYSIOL, V106, P983, DOI 10.1104/pp.106.3.983
   HURRY VM, 1995, PLANT PHYSIOL, V109, P697, DOI 10.1104/pp.109.2.697
   Jamai A, 2009, PLANT CELL, V21, P595, DOI 10.1105/tpc.108.063289
   Kosová K, 2011, J PROTEOMICS, V74, P1301, DOI 10.1016/j.jprot.2011.02.006
   Kreps JA, 2002, PLANT PHYSIOL, V130, P2129, DOI 10.1104/pp.008532
   Kwon SJ, 2006, J EXP BOT, V57, P1547, DOI 10.1093/jxb/erj137
   Liu LL, 2010, CHEM RES CHINESE U, V26, P958
   Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
   Mariapina R., 2013, MOL BIOSYST, V9, P1257
   Martindale W, 1997, J EXP BOT, V48, P1865, DOI 10.1093/jexbot/48.315.1865
   Moreno JI, 2005, PLANT J, V41, P451, DOI 10.1111/j.1365-313X.2004.02311.x
   Mu JY, 2008, PLANT PHYSIOL, V148, P1042, DOI 10.1104/pp.108.126342
   Neilson KA, 2010, PROTEOMICS, V10, P828, DOI 10.1002/pmic.200900538
   Nikolau BJ, 2000, BIOCHEM SOC T, V28, P591, DOI 10.1042/BST0280591
   Savitch LV, 2002, PLANT CELL ENVIRON, V25, P761, DOI 10.1046/j.1365-3040.2002.00861.x
   Shinozaki K, 2003, CURR OPIN PLANT BIOL, V6, P410, DOI 10.1016/S1369-5266(03)00092-X
   Stitt M, 2002, CURR OPIN PLANT BIOL, V5, P199, DOI 10.1016/S1369-5266(02)00258-3
   Strand Å, 1999, PLANT PHYSIOL, V119, P1387, DOI 10.1104/pp.119.4.1387
   Strand Å, 2003, PLANT CELL ENVIRON, V26, P523, DOI 10.1046/j.1365-3040.2003.00983.x
   Strand A, 1997, PLANT J, V12, P605, DOI 10.1046/j.1365-313X.1997.00605.x
   Thomashow MF, 1999, ANNU REV PLANT PHYS, V50, P571, DOI 10.1146/annurev.arplant.50.1.571
   Valcu CM, 2009, J PROTEOME RES, V8, P4077, DOI 10.1021/pr900456c
   Wang XC, 2009, J PROTEOME RES, V8, P3331, DOI 10.1021/pr801083a
   Xi JH, 2006, PHYTOCHEMISTRY, V67, P2341, DOI 10.1016/j.phytochem.2006.08.005
   Yan SP, 2006, MOL CELL PROTEOMICS, V5, P484, DOI 10.1074/mcp.M500251-MCP200
   Yukio K., 2003, PLANT J, V36, P141
NR 35
TC 5
Z9 5
U1 0
U2 29
PU HIGHER EDUCATION PRESS
PI BEIJING
PA SHATANHOU ST 55, BEIJING 100009, PEOPLES R CHINA
SN 1005-9040
EI 2210-3171
J9 CHEM RES CHINESE U
JI Chem. Res. Chin. Univ.
PD APR
PY 2014
VL 30
IS 2
BP 272
EP 278
DI 10.1007/s40242-014-3311-z
PG 7
WC Chemistry, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry
GA AE9NY
UT WOS:000334335700017
DA 2025-01-10
ER

PT J
AU Kok, K
   van Vliet, M
AF Kok, Kasper
   van Vliet, Mathijs
TI Using a participatory scenario development toolbox: added values and
   impact on quality of scenarios
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE fuzzy cognitive maps; participation; scenario development; stakeholder;
   toolbox
ID FUZZY COGNITIVE MAPS; MULTISCALE NARRATIVES; IA PERSPECTIVE;
   CONSERVATION; SCALES
AB To capture a system's uncertainty, a participatory, integrated approach is a prerequisite of many scenario development projects. Increasingly, a toolbox of methods is employed to facilitate stakeholder input. In this paper we evaluate four potential added values of using a toolbox of methods and the effect on the quality of resulting scenarios. Ten case studies within a large project (SCENES), that set out to develop participatory scenarios for Europe's freshwaters, are used to test our hypotheses. We analysed a first series of scenario workshops, evaluating (dis)advantages of the toolbox and the quality of scenarios as perceived by stakeholders and local organisers. As can be deduced from the resulting scenarios, results indicate that all hypothesised added values materialised to some extent. Using a toolbox enlarges the possibilities to: (1) adapt to local circumstances; (2) adapt to a variety of stakeholders; (3) compare results across scales and across case studies; and (4) facilitate a link of models and stories. However, a careful balance has to be found between the length of workshop, number and type of tools employed, and previous experience of stakeholders and local organisers. The results have implications for practitioners setting out to develop water or climate adaptation scenarios that could benefit from all the added values tested here. Finally, employing a toolbox can positively influence scenario quality, although more structured tests are needed.
C1 [Kok, Kasper; van Vliet, Mathijs] Wageningen Univ, Land Dynam Grp, NL-6700 AA Wageningen, Netherlands.
C3 Wageningen University & Research
RP Kok, K (corresponding author), Wageningen Univ, Land Dynam Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
EM kasper.kok@wur.nl
RI Kok, Kenneth/F-3264-2013; van Vliet, Mathijs/G-3381-2012
OI Kok, Kasper/0000-0002-6319-9227; van Vliet, Mathijs/0000-0003-1820-8144
FU European Commission [036822]
FX We want to acknowledge the support of SCENES by the European Commission
   under contract number 036822. We further want to acknowledge the
   excellent collaboration with many partners within SCENES, and thank them
   for all the good discussions on the development of the framework. We
   especially want to thank all the Pilot Area and regional workshop
   organisers within IA2 for time and effort of successfully developing
   Pilot Area scenarios. Last but not least we would like to thank the
   participants from the workshops, without whom scenarios would not have
   existed.
CR Albert C., 2008, Okologisches Wirtschaften, V23, P23
   Alcamo J, 2003, HYDROLOG SCI J, V48, P317, DOI 10.1623/hysj.48.3.317.45290
   Alcamo J., 2008, Environmental futures: the practice of environmental scenario analysis, V2, DOI DOI 10.1016/S1574-101X(08)00406-7
   [Anonymous], 2005, Ecosystems and Human Well being synthesis
   [Anonymous], SPEC REP EM SCEN SPE
   [Anonymous], 2008, DEV INTEGRATED ENV A
   Axelrod Robert., 2015, Structure of Decision: The Cognitive Maps of Political Elites
   Beers PJ, 2010, FUTURES, V42, P723, DOI 10.1016/j.futures.2010.04.017
   Beratan KK, 2007, ECOL SOC, V12
   Biggs R, 2007, ECOL SOC, V12
   Cole JR, 2000, INT J INTELL SYST, V15, P1, DOI 10.1002/(SICI)1098-111X(200001)15:1<1::AID-INT1>3.0.CO;2-V
   Dreborg KH, 1996, FUTURES, V28, P813, DOI 10.1016/S0016-3287(96)00044-4
   Dubel A., 2010, Final Draft of All Causal Loop Diagrams
   European Environmental Agency, 2006, PROSP ENV AN LAND US
   Giordano R, 2005, PHYS CHEM EARTH, V30, P463, DOI 10.1016/j.pce.2005.06.012
   Girod B, 2009, ENVIRON SCI POLICY, V12, P103, DOI 10.1016/j.envsci.2008.12.006
   Hulme M, 2008, ENVIRON SCI POLICY, V11, P54, DOI 10.1016/j.envsci.2007.09.003
   Kämäri J, 2008, E-WATER
   Khadra R., 2000, J WATER CLIM CHANGE, V2, P180
   Kok K, 2006, FUTURES, V38, P261, DOI 10.1016/j.futures.2005.07.001
   Kok K, 2006, FUTURES, V38, P285, DOI 10.1016/j.futures.2005.07.006
   Kok K., 2001, TECHNOLOGICAL FORECA, V78, P835
   Kok K., 2007, REPORT REVIEWING EXI
   Kok K., 2008, 1 DRAFT PAN STOR RES
   Kok K, 2007, ECOL SOC, V12
   Kok K, 2009, GLOBAL ENVIRON CHANG, V19, P122, DOI 10.1016/j.gloenvcha.2008.08.003
   KOSKO B, 1986, INT J MAN MACH STUD, V24, P65, DOI 10.1016/S0020-7373(86)80040-2
   Lebel L., 2005, ECOSYSTEMS HUMAN WEL, V4, P229
   Magnuszewski Piotr, 2005, Int J Environ Res Public Health, V2, P194, DOI 10.3390/ijerph2005020001
   Onigkeit J., 2009, PROCEDURE DEV GLOWA
   Özesmi U, 2003, ENVIRON MANAGE, V31, P518, DOI 10.1007/s00267-002-2841-1
   Patela M, 2007, LAND USE POLICY, V24, P546, DOI 10.1016/j.landusepol.2006.02.005
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Raadgever G.T., 2009, Does collaboration enhance learning? The challenge of learning from collaborative water management research
   Robinson J, 2003, FUTURES, V35, P839, DOI 10.1016/S0016-3287(03)00039-9
   Rotmans J, 2000, FUTURES, V32, P809, DOI 10.1016/S0016-3287(00)00033-1
   Sendzimir J, 2007, ENVIRON MODELL SOFTW, V22, P599, DOI 10.1016/j.envsoft.2005.12.032
   Sterman J, 2000, BUSINESS DYNAMICS
   UNEP, 2006, GLOB ENV OUTL
   van Vliet M., ENV MODELLING UNPUB
   van Vliet M., ECOLOGY SOC UNPUB
   van Vliet M, 2010, FUTURES, V42, P1, DOI 10.1016/j.futures.2009.08.005
   website Cmaps, 2009, IHMC CMAPTOOLS WEBSI
   website msp portal, 2007, MULTISTAKEHOLDER PRO
   Website SCENES, 2009, WATER SCENARIOS EURO
   Zurek MB, 2007, TECHNOL FORECAST SOC, V74, P1282, DOI 10.1016/j.techfore.2006.11.005
NR 46
TC 34
Z9 36
U1 1
U2 33
PU IWA PUBLISHING
PI LONDON
PA ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
SN 2040-2244
J9 J WATER CLIM CHANGE
JI J. Water Clim. Chang.
PD JUN
PY 2011
VL 2
IS 2-3
BP 87
EP 105
DI 10.2166/wcc.2011.032
PG 19
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Water Resources
GA 908BD
UT WOS:000301464300002
DA 2025-01-10
ER

PT J
AU Gilbert, G
   McLeman, R
AF Gilbert, Genevieve
   McLeman, Robert
TI Household access to capital and its effects on drought adaptation and
   migration: a case study of rural Alberta in the 1930s
SO POPULATION AND ENVIRONMENT
LA English
DT Article
DE Drought; Migration; Great Depression; Canadian Prairies; Climate
   adaptation
ID CLIMATE-CHANGE; GREAT-PLAINS; ADAPTIVE CAPACITY; EASTERN OKLAHOMA;
   UNITED-STATES; DUST BOWL; VULNERABILITY; SASKATCHEWAN; AGRICULTURE;
   LESSONS
AB This article reports findings from an empirical study of the impacts of drought on rural households in southeastern Alberta, Canada during the 1930s. In that decade, extreme summer heat conditions and low precipitation levels led to repeated crop failures. These extreme climatic conditions coincided with economic recession, falling commodity prices, and rising unemployment to create widespread hardship and suffering across the rural population. Thousands of households adapted by leaving the drought-stricken region and migrating to more northerly regions unaffected by drought, often suffering still further hardship as they reestablished themselves in a new environment. Through secondary research of historical documents and interviews with surviving migrants and non-migrants, this study identifies how economic, human, and social capital influenced the adaptive capacity, adaptation decisions, and migration behavior of rural households and describes how institutional responses affected household adaptation. Differential access to capital in its various forms was a key factor that distinguished households that adapted via migration from those that did not. The findings from this study of historical environment-related population change provide insights that enhance our broader understanding of potential future migration responses to the impacts of anthropogenic climate change and important considerations for policy-makers and planners seeking to build adaptive capacity in rural populations.
C1 [Gilbert, Genevieve; McLeman, Robert] Univ Ottawa, Dept Geog, Ottawa, ON K1N 6N5, Canada.
C3 University of Ottawa
RP McLeman, R (corresponding author), Univ Ottawa, Dept Geog, Room 015 Simard Hall, Ottawa, ON K1N 6N5, Canada.
EM rmcleman@uottawa.ca
OI McLeman, Robert/0000-0001-9593-1606
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2002, AMBIO, V31, P358, DOI 10.1639/0044-7447(2002)031[0358:MRLTAS]2.0.CO;2
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Adugna Aynalem., 1989, Population and disaster, P114
   Airriess CA, 2008, GEOFORUM, V39, P1333, DOI 10.1016/j.geoforum.2007.11.003
   [Anonymous], 2007, HUMAN TIDE REAL MIGR
   [Anonymous], BAR U CANADIAN RANCH
   [Anonymous], 2005, The Guardian
   BAILEY AW, 1974, J RANGE MANAGE, V27, P263, DOI 10.2307/3896819
   Bauder H, 2003, ANTIPODE, V35, P699, DOI 10.1046/j.1467-8330.2003.00346.x
   Belliveau S, 2006, GLOBAL ENVIRON CHANG, V16, P364, DOI 10.1016/j.gloenvcha.2006.03.003
   Borger Julian, 2008, GUARDIAN
   Bourdieu Pierre, 1984, Distinction: A Social Critique of the Judgement of Taste
   Britnell G.E., 1962, CANADIAN AGR WAR PEA
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   BURNET J, 1979, NEXT YEAR COUNTRY ST
   CARE International, 2009, SEARCH SHELT MAPP EF
   Castles Stephen., 2003, AGE MIGRATION
   Charmaz K., 2004, APPROACHES QUALITATI, P496, DOI DOI 10.4135/9781412950589
   COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943
   *DOM BUR STAT, 1931, AGR CLIM POP PRAIR P
   Dominion Bureau of Statistics, 1936, CENS PRAIR PROV 1936, V1
   DOOS BR, 1994, AMBIO, V23, P124
   Eggleston W., 1992, The Prairie West, P339
   England R., 1936, COLONIZATION W CANAD
   EVANS SM, 1979, AGR HIST, V53, P748
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Friesen Gerald., 1984, CANADIAN PRAIRIES HI
   Gan TY, 2000, WATER RESOUR MANAG, V14, P111, DOI 10.1023/A:1008195827031
   GLANTZ MH, 1991, ENVIRONMENT, V33, P10, DOI 10.1080/00139157.1991.9931393
   GLANTZ MH, 1988, SOC RESPONSES REGION, P113
   GORMAN J, 1988, LAND RECLAIMED STORY
   Gray JamesH., 1966, The Winter Years: The Depression on the Prairies
   Gregory JamesN., 1989, American Exodus: The Dust Bowl Migration and Okie Culture in California
   Gregory PJ, 2005, PHILOS T R SOC B, V360, P2139, DOI 10.1098/rstb.2005.1745
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Gutmann MP, 2005, POPUL ENVIRON, V27, P191, DOI 10.1007/s11111-006-0016-3
   Henry S, 2004, POPUL ENVIRON, V25, P397
   Hunter LM, 2005, POPUL ENVIRON, V26, P273, DOI 10.1007/s11111-005-3343-x
   HURSEY R, 1996, SENSE PEACE HIST OVE
   Jones DavidC., 1987, EMPIRE DUST SETTLING
   JONES DC, 1980, DIRTY 30S PRAIRIE CA, P89
   Kates RW, 2000, CLIMATIC CHANGE, V45, P5, DOI 10.1023/A:1005672413880
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Lal R, 2000, SOIL SCI, V165, P57, DOI 10.1097/00010694-200001000-00008
   Larney FJ, 1997, SOIL TILL RES, V42, P229, DOI 10.1016/S0167-1987(97)00011-1
   LEE ES, 1966, DEMOGRAPHY, V3, P47, DOI 10.2307/2060063
   Leichenko R. M., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P1, DOI 10.1023/A:1015860421954
   LONGMAN OS, 1932, REPORT BERRY CREEK A
   Lorenzoni I, 2000, GLOBAL ENVIRON CHANG, V10, P57, DOI 10.1016/S0959-3780(00)00012-1
   MacGregor James., 1972, HIST ALBERTA
   Macpherson Ian., 1992, PRAIRIE W, P475
   MAGNESS JR, 1971, B NJ AGR EXPT STATIO, V828
   Marchildon GP, 2008, NAT HAZARDS, V45, P391, DOI 10.1007/s11069-007-9175-5
   MASSEY DS, 1993, POPUL DEV REV, V19, P431, DOI 10.2307/2938462
   Massey DS, 1997, AM J SOCIOL, V102, P939, DOI 10.1086/231037
   McGinnis D.P., 1980, The Dirty Thirties in Prairie Canada, 11th Western Canada Studies Conference, P45
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   McLeman R, 2006, GREAT PLAINS QUART, V26, P27
   McLeman R. A., 2007, Farming in a changing climate: agricultural adaptation in Canada, P200
   McLeman R, 2008, MITIG ADAPT STRAT GL, V13, P379, DOI 10.1007/s11027-007-9118-1
   McLeman R, 2010, POPUL ENVIRON, V31, P286, DOI 10.1007/s11111-009-0087-z
   McLeman R, 2010, J HIST GEOGR, V36, P43, DOI 10.1016/j.jhg.2009.04.003
   Meze-Hausken Elisabeth., 2000, Mitigation and Adaptation Strategies for Global Change, V5, P379, DOI [DOI 10.1023/A:1026570529614, 10.1023/A:1026570529614]
   MOORE EJ, 1995, POPUL ENVIRON, V17, P105, DOI 10.1007/BF02208383
   Morris SS, 2002, WORLD DEV, V30, P49, DOI 10.1016/S0305-750X(01)00091-2
   Myers N, 2002, PHILOS T R SOC B, V357, P609, DOI 10.1098/rstb.2001.0953
   Nee V, 2001, ETHNIC RACIAL STUD, V24, P386, DOI 10.1080/01419870020036710
   Notzke C., 2004, Journal of Sustainable Tourism, V12, P29, DOI 10.1080/09669580408667223
   Owram Doug., 2007, The Prairie West As Promised Land, P335
   Parry M., 1989, B AM ACAD ARTS SCI, V42, P30
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Perch-Nielsen S, 2008, CLIMATIC CHANGE, V91, P375, DOI 10.1007/s10584-008-9416-y
   Phillips ST, 1999, ENVIRON HIST, V4, P245, DOI 10.2307/3985305
   RAVENSTEIN E. G., 1889, Journal of the Royal Statistical So- ciety, V52, P241, DOI [10.2307/2979181, 10.2307/2979333, DOI 10.2307/2979333]
   Reid S., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P609, DOI 10.1007/s11027-006-9051-8
   ROBERTSON GW, 1974, CAN J PLANT SCI, V54, P625, DOI 10.4141/cjps74-112
   ROSENZWEIG C, 1993, J ENVIRON QUAL, V22, P9, DOI 10.2134/jeq1993.00472425002200010002x
   Sauchyn D., 2008, Impacts to Adaptation: Canada in a Changing Climate 2007, P275
   Sauchyn DJ, 2003, GEOGR J, V169, P158, DOI 10.1111/1475-4959.05003
   Schindler DW, 2006, P NATL ACAD SCI USA, V103, P7210, DOI 10.1073/pnas.0601568103
   Slovic P., 2000, The Perception of Risk, DOI [10.4324/9781315661773, DOI 10.4324/9781315661773]
   Smit B., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P85, DOI 10.1023/A:1015862228270
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Stark O., 1991, MIGRATION LABOUR
   Stone R, 2003, SCIENCE, V299, P2027, DOI 10.1126/science.299.5615.2027
   Tacoli C, 2009, ENVIRON URBAN, V21, P513, DOI 10.1177/0956247809342182
   Thompson JohnHerd., 1998, FORGING PRAIRIE W
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   WAISER B, 2007, PRAIRIE W PROMISED L, P155
   Wetherell DonaldG., 2000, Alberta's North: A History, 1890 to 1950
   Worster Donald., 2004, Dust Bowl: The Southern Plains in the 1930s
   Yohe G, 2000, CLIMATIC CHANGE, V46, P371, DOI 10.1023/A:1005659629316
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Zaslow M., 1976, The West and the Nation, P273
NR 96
TC 30
Z9 39
U1 0
U2 44
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0199-0039
EI 1573-7810
J9 POPUL ENVIRON
JI Popul. Env.
PD SEP
PY 2010
VL 32
IS 1
BP 3
EP 26
DI 10.1007/s11111-010-0112-2
PG 24
WC Demography; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Demography; Environmental Sciences & Ecology
GA 643XE
UT WOS:000281332800002
DA 2025-01-10
ER

PT J
AU Shortridge, JE
   Bukvic, A
   Mitchell, M
   Goldstein, J
   Allen, T
AF Shortridge, J. E.
   Bukvic, A.
   Mitchell, M.
   Goldstein, J.
   Allen, T.
TI Characterizing Climatic Socio-Environmental Tipping Points in Coastal
   Communities: A Conceptual Framework for Research and Practice
SO EARTHS FUTURE
LA English
DT Article
DE climate adaptation; tipping points; socio-environmental systems
ID PROBLEM STRUCTURING METHOD; CATASTROPHE-THEORY; FLOOD EXPERIENCE; RISK;
   DPSIR; PERCEPTION; CHALLENGES; MANAGEMENT; EVOLUTION; RESPONSES
AB The concept of climate tipping points in socio-environmental systems is increasingly being used to describe nonlinear climate change impacts and encourage social transformations in response to climate change. However, the processes that lead to these tipping points and their impacts are highly complex and deeply uncertain. This is due to numerous interacting environmental and societal system components, constant system evolution, and uncertainty in the relationships between events and their consequences. In the face of this complexity and uncertainty, this research presents a conceptual framework that describes systemic processes that could lead to tipping points socio-environmental systems, with a focus on coastal communities facing sea level rise. Within this context, we propose an organizational framework for system description that consists of elements, state variables, links, internal processes, and exogenous influences. This framework is then used to describe three mechanisms by which socio-environmental tipping could occur: feedback processes, cascading linkages, and nonlinear relationships. We presented this conceptual framework to an expert panel of coastal practitioners and found that it has potential to characterize the effects of secondary climatic impacts that are rarely the focus of coastal risk analyses. Finally, we identify salient areas for further research that can build upon the proposed conceptual framework to inform practical efforts that support climate adaptation and resilience.
   In the face of climate change, there is growing concern that incremental adaptation measures will be insufficient in addressing climate risks. Socio-environmental tipping points describe situations where a small change or pressure results in a societal system moving into a fundamentally different state. This concept is increasingly used to describe risks from climate change and the meaningful societal changes necessary to reduce these risks. However, understanding how climatic tipping points might unfold in socio-environmental systems is very challenging because these systems are highly complex, with human, built, and environmental components that interact in unpredictable ways. This research presents a framework for describing tipping points in socio-environmental systems, and uses this descriptive framework to identify three tipping point mechanisms. These are feedback processes, cascading linkages, and nonlinear relationships. A panel of coastal practitioners reviewed the framework and found that it could capture the multiple potential tipping points that they have found in their work. By developing a common way of describing climatic tipping points in socio-environmental systems, this framework can support comparative studies across different locations and the development of computational models for exploring the impact of tipping points and potential interventions.
   The study presents a conceptual framework of climate-related tipping points in socio-environmental systems It identifies and describe three tipping mechanisms: feedback processes, cascading linkages, and nonlinear relationships An expert panel of coastal practitioners validated the framework and provided multiple examples of tipping points in practice
C1 [Shortridge, J. E.] Virginia Tech, Ctr Coastal Studies, Dept Biol Syst Engn, Blacksburg, VA 24061 USA.
   [Bukvic, A.] Virginia Tech, Ctr Coastal Studies, Dept Geog, Blacksburg, VA USA.
   [Mitchell, M.] Virginia Inst Marine Sci, Ctr Coastal Resources Management, Gloucester Point, VA USA.
   [Goldstein, J.] Virginia Commonwealth Univ, Dept Sociol, Richmond, VA USA.
   [Allen, T.] Old Dominion Univ, Dept Polit Sci & Geog, Norfolk, VA USA.
C3 Virginia Polytechnic Institute & State University; Virginia Polytechnic
   Institute & State University; William & Mary; Virginia Institute of
   Marine Science; Virginia Commonwealth University; Old Dominion
   University
RP Shortridge, JE (corresponding author), Virginia Tech, Ctr Coastal Studies, Dept Biol Syst Engn, Blacksburg, VA 24061 USA.
EM jshortridge@vt.edu
OI Bukvic, Anamaria/0000-0001-7395-5383
FU Virginia Tech's Center for Coastal Studies
FX This work was financially supported by a grant from the Virginia Tech's
   Center for Coastal Studies. We would like to thank expert panel
   participants for their valuable contributions and insights.
CR Adams S, 2021, PROG HUM GEOG, V45, P1580, DOI 10.1177/03091325211016072
   Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   Arce O, 2011, AM ECON J-MACROECON, V3, P212, DOI 10.1257/mac.3.1.212
   Atkins PWB, 2002, ORGAN BEHAV HUM DEC, V88, P587, DOI 10.1016/S0749-5978(02)00002-X
   BANKES S, 1993, OPER RES, V41, P435, DOI 10.1287/opre.41.3.435
   Barbrook-Johnson P, 2022, SYSTEMS MAPPING BUIL, P113, DOI DOI 10.1007/978-3-031-01919-78
   Bell S, 2012, EUR J OPER RES, V222, P350, DOI 10.1016/j.ejor.2012.04.029
   Bennett EM, 2021, ECOSYST PEOPLE, V17, P574, DOI 10.1080/26395916.2021.1995046
   Bernstein S, 2000, EUR J INT RELAT, V6, P43, DOI 10.1177/1354066100006001003
   Bey G., 2020, Report on the NOAA Office of Education environmental literacy program community resilience education theory of change
   Biggs R, 2009, P NATL ACAD SCI USA, V106, P826, DOI 10.1073/pnas.0811729106
   Botzen WJW, 2009, WATER RESOUR RES, V45, DOI 10.1029/2009WR007743
   BREHMER B, 1992, ACTA PSYCHOL, V81, P211, DOI 10.1016/0001-6918(92)90019-A
   Bubeck P, 2018, RISK ANAL, V38, P1239, DOI 10.1111/risa.12938
   Carrington P.J., 2005, Models and Methods in Social Network Analysis
   Castro CG, 2022, J CLEAN PROD, V345, DOI 10.1016/j.jclepro.2022.131136
   Tàbara JD, 2022, SUSTAIN SCI, V17, P565, DOI 10.1007/s11625-021-01050-6
   de Koning K, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6668
   Dekker MM, 2018, EARTH SYST DYNAM, V9, P1243, DOI 10.5194/esd-9-1243-2018
   Elsawah S, 2017, ENVIRON MODELL SOFTW, V93, P127, DOI 10.1016/j.envsoft.2017.03.001
   Fedele G, 2020, ECOL SOC, V25, DOI 10.5751/ES-11381-250125
   Filatova T, 2016, ENVIRON MODELL SOFTW, V75, P333, DOI 10.1016/j.envsoft.2015.04.003
   Flood S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac1c6
   Graham S, 2023, PEOPLE NAT, V5, P1445, DOI 10.1002/pan3.10516
   Gregory AJ, 2013, EUR J OPER RES, V227, P558, DOI 10.1016/j.ejor.2012.11.020
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Gunderson L, 2017, ECOL SOC, V22, DOI 10.5751/ES-08879-220131
   Haasnoot M, 2021, CLIM RISK MANAG, V34, DOI 10.1016/j.crm.2021.100355
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Haer T, 2016, ENVIRON SCI POLICY, V60, P44, DOI 10.1016/j.envsci.2016.03.006
   Hall KL, 2012, TRANSL BEHAV MED, V2, P415, DOI 10.1007/s13142-012-0167-y
   Hartley T., 2021, Coastal resilience and adaptation economy: Region 6 action plan
   Herrfahrdt-Pähle E, 2020, GLOBAL ENVIRON CHANG, V63, DOI 10.1016/j.gloenvcha.2020.102097
   Hesarkazzazi S, 2022, WATER RES, V222, DOI 10.1016/j.watres.2022.118910
   Hinkel J, 2018, NAT CLIM CHANGE, V8, P570, DOI 10.1038/s41558-018-0176-z
   Hino M, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau2736
   Hudson P, 2016, ECOL ECON, V125, P1, DOI 10.1016/j.ecolecon.2016.01.015
   Klose AK, 2020, ROY SOC OPEN SCI, V7, DOI 10.1098/rsos.200599
   KOLATA GB, 1977, SCIENCE, V196, P287, DOI 10.1126/science.196.4287.287
   Krueger EH, 2019, EARTHS FUTURE, V7, P1167, DOI 10.1029/2019EF001306
   Langsdale S, 2013, J AM WATER RESOUR AS, V49, P629, DOI 10.1111/jawr.12065
   Lauerburg RAM, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.135838
   Lawrence J., 2019, DECISION MAKING DEEP, P187, DOI [10.1007/978-3-030-05252-29, DOI 10.1007/978-3-030-05252-29]
   Lawrence J, 2014, NAT HAZARDS, V74, P1773, DOI 10.1007/s11069-014-1288-z
   Lempert R., 2003, Shaping the next one hundred years: New methods for quantitative, long-term policy analysis (MR-1626-CR)
   Lempert R J., 2019, Decision Making under Deep Uncertainty: From Theory to Practice, P23, DOI [DOI 10.1007/978-3-030-05252-2, DOI 10.1007/978-3-030-05252-22]
   Lenton TM, 2022, GLOB SUSTAIN, V5, DOI 10.1017/sus.2021.30
   Lenton TM, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0123
   Lenton TM, 2019, NATURE, V575, P592, DOI 10.1038/d41586-019-03595-0
   Lincke D, 2018, GLOBAL ENVIRON CHANG, V51, P67, DOI 10.1016/j.gloenvcha.2018.05.003
   Mathias JD, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-59713-w
   Mentaschi L, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-30904-w
   Merz B, 2021, NAT REV EARTH ENV, V2, P592, DOI 10.1038/s43017-021-00195-3
   Metzger JP, 2021, PEOPLE NAT, V3, P266, DOI 10.1002/pan3.10172
   Milazzo M, 2019, SCI TOTAL ENVIRON, V667, P41, DOI 10.1016/j.scitotenv.2019.02.391
   Milkoreit M, 2023, WIRES CLIM CHANGE, V14, DOI 10.1002/wcc.813
   Milkoreit M, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaaa75
   Mingers J, 2004, EUR J OPER RES, V152, P530, DOI 10.1016/S0377-2217(03)00056-0
   Moallemi EA, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102186
   Patricio J, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00177
   Peterson GCL, 2021, ENVIRON SCI TECHNOL, V55, P16257, DOI 10.1021/acs.est.1c03835
   Pielke RA, 1999, CLIMATIC CHANGE, V42, P413
   Reed PM, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002621
   Reimann L., 2023, Cambridge Prisms: Coastal Futures, V1, pE14, DOI DOI 10.1017/CFT.2023.3
   Gari SR, 2015, OCEAN COAST MANAGE, V103, P63, DOI 10.1016/j.ocecoaman.2014.11.013
   Rosser JB, 2007, J ECON DYN CONTROL, V31, P3255, DOI 10.1016/j.jedc.2006.09.013
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Sterman JD, 2002, SYST DYNAM REV, V18, P501, DOI 10.1002/sdr.261
   Sweet WV, 2014, EARTHS FUTURE, V2, P579, DOI 10.1002/2014EF000272
   Tan WJ, 2019, INT J PROD RES, V57, P6385, DOI 10.1080/00207543.2019.1566666
   Thaler T, 2019, ENVIRON SCI POLICY, V94, P101, DOI 10.1016/j.envsci.2018.12.012
   Thistlethwaite J, 2018, ENVIRON MANAGE, V61, P197, DOI 10.1007/s00267-017-0969-2
   US National Oceanic and Atmospheric Administration, 2021, State of high tide flooding and annual outlook
   Vallet A, 2020, ENVIRON SCI POLICY, V114, P329, DOI 10.1016/j.envsci.2020.08.020
   van den Bergh JCJM, 2019, FUTURES, V109, P84, DOI 10.1016/j.futures.2019.02.024
   van Ginkel KCH, 2022, CLIM RISK MANAG, V37, DOI 10.1016/j.crm.2022.100445
   van Ginkel KCH, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6395
   Wang Y, 2020, J MANAGE ENG, V36, DOI 10.1061/(ASCE)ME.1943-5479.0000782
   Whyte K, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.603
   Wilhelmsson M, 2022, INT J HOUS MARK ANAL, V15, P910, DOI 10.1108/IJHMA-04-2021-0049
   Winkelmann R, 2022, ECOL ECON, V192, DOI 10.1016/j.ecolecon.2021.107242
   Yletyinen J, 2019, BIOSCIENCE, V69, P335, DOI 10.1093/biosci/biz031
   Yoon J, 2023, COMPUT ENVIRON URBAN, V103, DOI 10.1016/j.compenvurbsys.2023.101979
   Yoon J, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002641
   ZAHLER RS, 1977, NATURE, V269, P759, DOI 10.1038/269759a0
   Zink T, 2017, J IND ECOL, V21, P593, DOI 10.1111/jiec.12545
NR 86
TC 0
Z9 0
U1 13
U2 13
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 JUL
PY 2024
VL 12
IS 7
AR e2023EF004123
DI 10.1029/2023EF004123
PG 22
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA YJ3Q2
UT WOS:001268087100001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Medina-Alonso, MG
   Cabezas, JM
   Ríos-Mesa, D
   Lorite, IJ
   León, L
   de la Rosa, R
AF Medina-Alonso, Maria G.
   Cabezas, Jose M.
   Rios-Mesa, Domingo
   Lorite, Ignacio J.
   Leon, Lorenzo
   de la Rosa, Raul
TI Flowering Phenology of Olive Cultivars in Two Climate Zones with
   Contrasting Temperatures (Subtropical and Mediterranean)
SO AGRICULTURE-BASEL
LA English
DT Article
DE Olea europaea L; genetic variability; climate warming; chilling
   requirements
ID TREES; SELECTIONS; FRUIT
AB The large amount of olive cultivars conserved in germplasm banks can be used to overcome some of the challenges faced by the olive growing industry, including climate warming. One effect of climate warming in olive is the difficulty to fulfill the chilling requirements for flowering due to mild winter temperatures. In the present work, we evaluate seven olive cultivars for their adaptation to high winter temperatures by comparing their flowering phenology in the standard Mediterranean climate of Cordoba, Southern Iberian Peninsula, with the subtropical climate of Tenerife, Canary Islands. Flowering phenology in Tenerife was significantly earlier and longer than in Cordoba. However, genotype seems to have little influence on the effects of the lack of winter chilling temperatures, as in Tenerife. This was found even though the cultivars studied had a high genetic distance between them. In fact, all the cultivars tested in Tenerife flowered during the three-year study but showed asynchronous flowering bud burst. 'Arbequina' showed an earlier day of full flowering compared with the rest of the cultivars. The results observed here could be of interest to refine the phenological simulation models, including the length of the flowering period. More genetic variability should be evaluated in warm winter conditions to look for adaptation to climate warming.
C1 [Medina-Alonso, Maria G.; Rios-Mesa, Domingo] Cabildo Insular Tenerife, Serv Tecn Agr & Desarrollo Rural, Alcalde Mandillo Tejera 8, Santa Cruz De Tenerife 38007, Spain.
   [Cabezas, Jose M.; Lorite, Ignacio J.; Leon, Lorenzo; de la Rosa, Raul] Ctr IFAPA Alameda Obispo, Menendez Pidal s n, Cordoba 14004, Spain.
RP de la Rosa, R (corresponding author), Ctr IFAPA Alameda Obispo, Menendez Pidal s n, Cordoba 14004, Spain.
EM guacimaram@tenerife.es; josem.cabezas@juntadeandalucia.es;
   domingor@tenerife.es; ignacioj.lorite@juntadeandalucia.es;
   lorenzo.leon@juntadeandalucia.es; raul.rosa@juntadeandalucia.es
RI Mesa, Domingo/AFI-9027-2022; Medina Alonso, María
   Guacimara/JFK-4129-2023; Cabezas, Jose Manuel/AFE-6802-2022; Leon,
   Lorenzo/N-7355-2013; Rios Mesa, Domingo Jose/H-5375-2015; Lorite,
   Ignacio/B-8261-2011; De la Rosa, Raul/B-5755-2008
OI Leon, Lorenzo/0000-0002-5664-3393; Rios Mesa, Domingo
   Jose/0000-0002-6232-2828; Cabezas, Jose Manuel/0000-0003-4616-0512;
   Lorite, Ignacio/0000-0002-0833-9362; De la Rosa,
   Raul/0000-0002-0752-9607
FU Andalusian Institute of Agricultural and Fisheries Research and Training
   (IFAPA) [AVA2019.027]; European Regional Development Fund
FX This research was partly funded by Andalusian Institute of Agricultural
   and Fisheries Research and Training (IFAPA), grant number AVA2019.027,
   partially funded by European Regional Development Fund.
CR Abou-Saaid O, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12122975
   Aguilera F, 2009, AEROBIOLOGIA, V25, P217, DOI 10.1007/s10453-009-9127-5
   Aguilera F, 2015, AGR FOREST METEOROL, V203, P208, DOI 10.1016/j.agrformet.2014.11.019
   Aybar VE, 2015, SPAN J AGRIC RES, V13, DOI 10.5424/sjar/2015131-6375
   Belaj A, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11070921
   Belaj A, 2020, SPAN J AGRIC RES, V18, DOI 10.5424/sjar/2020181-15017
   Belaj A, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01320
   Belaj A, 2012, TREE GENET GENOMES, V8, P365, DOI 10.1007/s11295-011-0447-6
   Beltrán G, 2016, EUR J LIPID SCI TECH, V118, P1250, DOI 10.1002/ejlt.201500295
   Benlloch-González M, 2018, SCI HORTIC-AMSTERDAM, V240, P405, DOI 10.1016/j.scienta.2018.06.054
   Castillo-Llanque J, 2014, ACTA HORTIC, V1057, P113
   Chuine I, 2016, GLOBAL CHANGE BIOL, V22, P3444, DOI 10.1111/gcb.13383
   De Melo-Abreu JP, 2004, AGR FOREST METEOROL, V125, P117, DOI 10.1016/j.agrformet.2004.02.009
   Fraga H, 2020, INT J CLIMATOL, V40, P769, DOI 10.1002/joc.6237
   Gabaldón-Leal C, 2017, INT J CLIMATOL, V37, P940, DOI 10.1002/joc.5048
   Gómez-Gálvez FJ, 2021, SCI HORTIC-AMSTERDAM, V278, DOI 10.1016/j.scienta.2020.109851
   Hamze LM, 2022, SCI HORTIC-AMSTERDAM, V304, DOI 10.1016/j.scienta.2022.111327
   Hector A, 2010, J ANIM ECOL, V79, P308, DOI 10.1111/j.1365-2656.2009.01634.x
   López-Escudero FJ, 2011, PLANT SOIL, V344, P1, DOI 10.1007/s11104-010-0629-2
   Kaniewski D, 2023, NAT PLANTS, V9, P219, DOI 10.1038/s41477-022-01339-z
   León L, 2011, EUR J LIPID SCI TECH, V113, P870, DOI 10.1002/ejlt.201000535
   López-Bernal A, 2020, AGR FOREST METEOROL, V280, DOI 10.1016/j.agrformet.2019.107776
   Lorite IJ, 2022, AGR FOREST METEOROL, V313, DOI 10.1016/j.agrformet.2021.108742
   Luedeling E, 2012, SCI HORTIC-AMSTERDAM, V144, P218, DOI 10.1016/j.scienta.2012.07.011
   Luedeling E, 2009, AGR FOREST METEOROL, V149, P1854, DOI 10.1016/j.agrformet.2009.06.013
   Mairech H, 2020, AGR SYST, V181, DOI 10.1016/j.agsy.2020.102816
   Malik NSA, 2009, J FOOD AGRIC ENVIRON, V7, P429
   Medina-Alonso MG, 2020, ENVIRON EXP BOT, V180, DOI 10.1016/j.envexpbot.2020.104239
   Meza F, 2023, GLOBAL CHANGE BIOL, V29, P2557, DOI 10.1111/gcb.16601
   Moriondo M, 2013, GLOBAL ECOL BIOGEOGR, V22, P818, DOI 10.1111/geb.12061
   Navas-Lopez JF, 2019, EUPHYTICA, V215, DOI 10.1007/s10681-019-2503-5
   Rallo L, 2008, HORTSCIENCE, V43, P529, DOI 10.21273/HORTSCI.43.2.529
   Rapoport HF, 2014, ACTA HORTIC, V1057, P41, DOI 10.17660/ActaHortic.2014.1057.2
   Rubio-Valdés G, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11243461
   Sanz-Cortés F, 2002, ANN APPL BIOL, V140, P151, DOI 10.1111/j.1744-7348.2002.tb00167.x
   Selak GV, 2014, ANN APPL BIOL, V164, P85, DOI 10.1111/aab.12082
   Serrano A, 2021, PLANT DIS, V105, P1781, DOI 10.1094/PDIS-08-20-1829-RE
   Torres M, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01830
NR 38
TC 0
Z9 0
U1 1
U2 10
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 2023
VL 13
IS 7
AR 1312
DI 10.3390/agriculture13071312
PG 12
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA N5XO1
UT WOS:001037740200001
OA gold, Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU Aldunce, P
   Lillo-Ortega, G
   Araya-Valenzuela, D
   Maldonado-Portilla, P
   Gallardo, L
AF Aldunce, Paulina
   Lillo-Ortega, Gloria
   Araya-Valenzuela, Damare
   Maldonado-Portilla, Pamela
   Gallardo, Laura
TI Evaluating adaptation to drought in a changing climate: experience at
   the local scale in the Aconcagua Valley
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Evaluation of adaptation; Index for the Usefulness of Adaptation
   Practices (IUPA); drought; Chile; climate change
AB Since 2010, a severe drought has affected central Chile, resulting in losses that prompt the need to evaluate and improve adaptation responses. The evaluation process requires the engagement of multiple actors in order to collect knowledge of their experiences and to inform future design and implementation of adaptation responses. A case study was conducted in four counties of the Aconcagua Valley, Chile, to evaluate the usefulness of existing drought response measures, and to identify strengths and weaknesses, and relevant actors' recommendations for overcoming them. We applied the Index for the Usefulness of Adaptation Practices (IUPA), a multi-criteria tool that systematically identifies the perceived usefulness of measures. The most salient strengths of the evaluated measures were: replicability, pertinence, and efficacy; representing key factors that could facilitate the implementation of drought responses in similar contexts. The most salient weaknesses were: lack of integration with other policy domains and projects, low environmental protection, diminished autonomy in decision-making, and inequity. Proposed recommendations to overcome these weaknesses have real potential for implementation because they emerged from local actors. Results present empirical evidence of the utility of participatory approaches for a context-specific evaluation of measures, contributing to enhance adaptation to climate variability and change.
C1 [Aldunce, Paulina] Univ Chile, Dept Environm Sci & Renewable Nat Resources, Fac Agr Sci, Santiago, Chile.
   [Aldunce, Paulina; Gallardo, Laura] Univ Chile, Ctr Climate & Resilience, Santiago, Chile.
   [Lillo-Ortega, Gloria] Heinrich Boll Fdn Cono Sur, Santiago, Chile.
   [Araya-Valenzuela, Damare] Karlsruhe Inst Technol, Karlsruhe, Germany.
C3 Universidad de Chile; Universidad de Chile; Helmholtz Association;
   Karlsruhe Institute of Technology
RP Aldunce, P (corresponding author), Univ Chile, Dept Environm Sci & Renewable Nat Resources, Fac Agr Sci, Santiago, Chile.; Aldunce, P (corresponding author), Univ Chile, Ctr Climate & Resilience, Santiago, Chile.
EM paldunce@uchile.cl
RI Gallardo, Laura/H-4370-2013; Aldunce, Paulina/T-2125-2017
OI Gallardo, Laura/0000-0001-7605-3721; Aldunce,
   Paulina/0000-0002-1159-9333
FU Fondo Nacional de Desarrollo Cientifico y Tecnologico (FONDECYT)
   [11140394]; Center for Fondo de Financiamiento de Centros de
   Investigacion en Areas Prioritarias (FONDAP) [ANID/FONDAP 15110009]
FX This publication received the support of and is a contribution to the
   Fondo Nacional de Desarrollo Cientifico y Tecnologico (FONDECYT) 2014
   Project no 11140394 and Center for Fondo de Financiamiento de Centros de
   Investigacion en Areas Prioritarias (FONDAP) [grant number ANID/FONDAP
   15110009].
CR ADGER N, 2013, NAT CLIM CHANGE, V3
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Albers, 2015, CARTOGRAF A RULAMAHU
   Aldunce P, 2014, DISASTER PREV MANAG, V23, P252, DOI 10.1108/DPM-07-2013-0130
   [Anonymous], 2011, ASSESSING COSTS BENE
   [Anonymous], 2014, OPTIONS ADAPTATION L
   [Anonymous], 2014, STRATEGIC DECISION M
   BCN Biblioteca del Congreso Nacional, 2016, CHILE NUESTRO PA S R
   Bennett NJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11143881
   Berrang-Ford L, 2019, NAT CLIM CHANGE, V9, P440, DOI 10.1038/s41558-019-0490-0
   Biermann F, 2020, EARTH SYST GOV CUP, P299
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Boisier JP, 2018, ELEMENTA-SCI ANTHROP, V6, DOI 10.1525/elementa.328
   Boisier JP, 2016, GEOPHYS RES LETT, V43, P413, DOI 10.1002/2015GL067265
   Briones, 2012, PERSPECTIVAS INVESTI
   BROWN K, 2011, CLIM DEV, V3
   Colapinto C, 2020, ANN OPER RES, V293, P405, DOI 10.1007/s10479-019-03403-y
   Cox R, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068338
   CR2 Center for Climate and Resilience Research, 2015, MEGA SEQUIA 2010 201
   CYPADAPT-Project , 2013, REPORT LIT REV STATE
   Dolsak N., 2018, ANNU REV ENV RESOUR, V43, p2.1
   Doukas H, 2020, EUR J OPER RES, V280, P1, DOI 10.1016/j.ejor.2019.01.017
   Dovers SR, 2010, WIRES CLIM CHANGE, V1, P212, DOI 10.1002/wcc.29
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   ERIKSEN S, 2011, CLIM DEV, V3
   Garreaud RD, 2020, INT J CLIMATOL, V40, P421, DOI 10.1002/joc.6219
   GOLFAM P, 2019, WATER RESOUR MANAG, V33
   GUERRERO AM, 2020, CONSERV BIOL, V34
   Guest G, 2006, FIELD METHOD, V18, P59, DOI 10.1177/1525822X05279903
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   HAYWARD B, 2008, POLIT SCI, V60
   Hedger MerylynMckenzie., 2008, Desk Review: Evaluation of Adaptation to Climate Change from a Development Perspective
   Helsloot I., 2004, J CONTING CRISIS MAN, V12, DOI 10.1111/j.0966-0879.2004.00440.x
   Hernandez R., 2010, METODOLOG A INVESTIG, V5
   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
   Lillo-Ortega G, 2019, SUSTAIN SCI, V14, P1057, DOI 10.1007/s11625-018-0619-5
   Marsden Jacob Associates, 2004, EC ISSUES RELEVANT C
   Martin S., 2012, EXAMPLES NO REGRET L
   Martner, 2019, ESTO NO M S HACIA TR
   Mertens D.M., 2005, RES EVALUATION ED PS, V2nd
   Moreno J. M., 2020, Adaptation to climate change risks in Ibero-American countriesRIOCCADAPT report, DOI DOI 10.2854/63535
   NDAMANI F, 2017, CLIMATE CHANGE 2014, V76
   Neri, 2013, PRIORIZACI N MEDIDAS
   OBRIEN K, 2007, ECOL INDIC, V7
   OMERKHILL N, 2020, CLIM POLICY, V118
   Parry M., 2009, ASSESSING COSTS ADAP
   Persson Å, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.618
   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]
   Rosenzweig C., 2015, ARC32 SUMMARY CITY L
   Rubio P., 2012, B ASOC GEOGR ESP, V58, P481
   Rudnick, 2014, EVALUACI N T RMINO P
   SAATY RW, 1987, ECOL INDIC, V9
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   SOLOMON S, 2007, REPORT FINANCIAL TEC, P19
   SOVACOOL BK, 2011, CLIMATIC CHANGE, V11
   Szlafsztein, 2008, HACIA ADAPTACI N ANT
   THOMALLA F, 2006, CLIM POLICY, V30
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   TORTAJADA C, 2017, DISASTERS, V78
   United Nations Environment Programme (UNEP), 2011, PRACTICAL FRAMEWORK
   United Nations Framework Convention on Climate Change (UNFCCC) , 2010, INFORME S NTESIS ACT
   VUILLE M, 2015, ENVIRON SCI POLICY, V120
   Watkiss, 2013, ANALYTIC HIERARCHY P, P9
   WOLF J, 2010, J GEOPHYS RES-ATMOS, V20
   Zhu X., 2010, Technologies for Climate Change Adaptation - Coastal Erosion and Flooding
NR 65
TC 0
Z9 0
U1 2
U2 13
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD FEB 7
PY 2022
VL 14
IS 2
BP 121
EP 132
DI 10.1080/17565529.2021.1893150
EA APR 2021
PG 12
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 0E4CK
UT WOS:000643796900001
DA 2025-01-10
ER

PT J
AU Brothers, AN
   Weingartner, LA
   Delph, LF
AF Brothers, Amanda N.
   Weingartner, Laura A.
   Delph, Lynda F.
TI Genetically based population divergence of <i>Silene latifolia</i> from
   two climate regions
SO EVOLUTIONARY ECOLOGY RESEARCH
LA English
DT Article
DE climate; ecological divergence; ecotypes; phenotypic plasticity; sexual
   dimorphism
ID FLORAL DISPLAY; SEXUAL-DIMORPHISM; LOCAL ADAPTATION; FLOWER SIZE;
   PHENOTYPIC DIVERGENCE; SELECTION; PREDATOR; TRAITS; STRESS; COST
AB Background: Plants in hot and dry climates often flower earlier, make thicker leaves, and produce fewer flowers than conspecifics from relatively wet, cool climates. Silene latifolia, a dioecious, short-lived, flowering perennial, grows in both of these climates in Europe.
   Question: Is variation in traits seen among populations with divergent climates a result of genetic changes in response to local environmental conditions, differences in the degree of sexual dimorphism, or phenotypic plasticity?
   Hypothesis: Traits will differ between populations in a common garden as a result of genetic divergence, and exhibit a pattern of variation that is congruent with adaptation to climate.
   Methods: Morphological and phenological measurements were taken during two flowering seasons on plants growing in Croatia (relatively wet and cool) and Spain (hot and dry). Seeds from both regions were grown to flowering in the greenhouse and several traits were measured.
   Results: Significant divergence in traits existed between Croatia and Spain that persisted in the common garden (greenhouse), indicating that populations in these two regions likely represent different ecotypes. Plants from Spain flowered earlier in the field, made thicker leaves, and produced fewer flowers than plants from Croatia. Plants from Spain also showed greater sexual dimorphism than those from Croatia.
C1 [Brothers, Amanda N.; Weingartner, Laura A.; Delph, Lynda F.] Indiana Univ, Dept Biol, 1001 East Third St, Bloomington, IN 47405 USA.
C3 Indiana University System; Indiana University Bloomington
RP Delph, LF (corresponding author), Indiana Univ, Dept Biol, 1001 East Third St, Bloomington, IN 47405 USA.
EM ldelph@indiana.edu
RI Weingartner, Laura/AAT-4072-2020
OI Weingartner, Laura/0000-0003-0820-3980
FU National Science Foundation [DEB-1353970]; Direct For Biological
   Sciences; Division Of Environmental Biology [1353970] Funding Source:
   National Science Foundation
FX This work received funding from the National Science Foundation
   (DEB-1353970 to L.F.D.). The authors thank E. Allaby, A. Aungst, M.
   Burger, G. Crain, H. Luton, K. Mitman, and J. Swank for help with data
   collection and sample processing.
CR BAKER HG, 1948, J ECOL, V36, P96, DOI 10.2307/2256649
   Baker RL, 2014, INT J PLANT SCI, V175, P59, DOI 10.1086/673305
   Barrett SCH, 2006, AUST J BOT, V54, P417, DOI 10.1071/BT05151
   Burkhardt A, 2012, J EVOLUTION BIOL, V25, P461, DOI 10.1111/j.1420-9101.2011.02436.x
   Chen GF, 2015, ECOLOGY, V96, P440, DOI 10.1890/14-0428.1
   Clausen J., 1940, USITC PUBL, V520
   Delph L.F., 2007, Sex, P115
   Delph LF, 1996, AM NAT, V148, P299, DOI 10.1086/285926
   Delph LF, 2004, EVOLUTION, V58, P1936, DOI 10.1111/j.0014-3820.2004.tb00481.x
   Delph LF, 2005, AM NAT, V166, pS31, DOI 10.1086/444597
   Delph LF, 2002, J EVOLUTION BIOL, V15, P1011, DOI 10.1046/j.1420-9101.2002.00467.x
   Delph LF, 2008, EVOL ECOL RES, V10, P61
   Delph LF, 2012, EVOLUTION, V66, P1154, DOI 10.1111/j.1558-5646.2011.01510.x
   Delph LF, 2010, EVOLUTION, V64, P2873, DOI 10.1111/j.1558-5646.2010.01048.x
   Eckhart VM, 1999, Gender and sexual dimorphism in flowering plants, P123, DOI [DOI 10.1007/978-3-662-03908-3_5, 10.1007/978-3-662-03908-3_5]
   Friedman J, 2015, MOL ECOL, V24, P111, DOI 10.1111/mec.13004
   Galloway LF, 2012, J ECOL, V100, P852, DOI 10.1111/j.1365-2745.2012.01967.x
   Geber M. A., 1999, GENDER SEXUAL DIMORP
   Glaettli M, 2008, NEW PHYTOL, V179, P1193, DOI 10.1111/j.1469-8137.2008.02532.x
   Gómez JM, 2009, EVOLUTION, V63, P1820, DOI 10.1111/j.1558-5646.2009.00667.x
   Hall MC, 2006, EVOLUTION, V60, P2466, DOI 10.1554/05-688.1
   Hathaway L, 2009, BOTANY, V87, P231, DOI 10.1139/B08-137
   Herlihy CR, 2009, INT J PLANT SCI, V170, P1103, DOI 10.1086/605872
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Knight CA, 2006, MOL ECOL, V15, P1229, DOI 10.1111/j.1365-294X.2006.02818.x
   Kooyers NJ, 2015, NEW PHYTOL, V206, P152, DOI 10.1111/nph.13153
   Labouche AM, 2013, FUNCT ECOL, V27, P509, DOI [10.1111/1365-2435.12062, 10.1111/j.1468-3083.2011.04323.x]
   Lambrecht SC, 2007, OECOLOGIA, V151, P574, DOI 10.1007/s00442-006-0617-7
   Lekberg Y, 2012, OECOLOGIA, V170, P111, DOI 10.1007/s00442-012-2297-9
   Lowry DB, 2014, AM NAT, V183, P682, DOI 10.1086/675760
   Magalhaes IS, 2014, EVOL ECOL, V28, P905, DOI 10.1007/s10682-014-9713-z
   Magalhaes IS, 2011, MOL ECOL, V20, P4618, DOI 10.1111/j.1365-294X.2011.05296.x
   MASTENBROEK O, 1983, PLANT SYST EVOL, V141, P257, DOI 10.1007/BF00989006
   Meagher TR, 2001, EVOL ECOL RES, V3, P845
   Milla R, 2008, FUNCT ECOL, V22, P565, DOI 10.1111/j.1365-2435.2008.01406.x
   Mojica JP, 2012, MOL ECOL, V21, P3718, DOI 10.1111/j.1365-294X.2012.05662.x
   Oke KB, 2016, J EVOLUTION BIOL, V29, P126, DOI 10.1111/jeb.12767
   Palacio-López K, 2015, ECOL EVOL, V5, P3389, DOI 10.1002/ece3.1603
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Sletvold N, 2012, EVOL ECOL, V26, P559, DOI 10.1007/s10682-011-9502-x
   Taylor DR, 2007, EVOLUTION, V61, P334, DOI 10.1111/j.1558-5646.2007.00037.x
   Vasconcelos TNC, 2015, AM J BOT, V102, P900, DOI 10.3732/ajb.1400509
   Vaughton G, 1998, OECOLOGIA, V115, P93, DOI 10.1007/s004420050495
   Vellekoop P, 1996, THEOR APPL GENET, V92, P1085, DOI 10.1007/BF00224053
   von Euler T, 2012, OIKOS, V121, P1400, DOI 10.1111/j.1600-0706.2012.20433.x
   Waelti MO, 2009, BMC EVOL BIOL, V9, DOI 10.1186/1471-2148-9-190
   Worley AC, 2000, INT J PLANT SCI, V161, P69, DOI 10.1086/314225
   Wright IJ, 2004, NATURE, V428, P821, DOI 10.1038/nature02403
NR 49
TC 3
Z9 4
U1 0
U2 20
PU EVOLUTIONARY ECOLOGY LTD
PI TUCSON
PA UNIV ARIZONA, 321 BIOSCIENCES WEST, TUCSON, AZ 85721 USA
SN 1522-0613
EI 1937-3791
J9 EVOL ECOL RES
JI Evol. Ecol. Res.
PD SEP
PY 2016
VL 17
IS 5
BP 637
EP 650
PG 14
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA DZ7SZ
UT WOS:000386068200002
DA 2025-01-10
ER

PT J
AU Tokumoto, Y
   Nakagawa, M
AF Tokumoto, Yuji
   Nakagawa, Michiko
TI Climate-induced abortion and predation: reproductive success of the
   pioneer shrub <i>Dillenia suffruticosa</i> in Malaysian Borneo
SO JOURNAL OF TROPICAL ECOLOGY
LA English
DT Article
DE continuous flowering; excess production; pioneer plant; reproductive
   assurance; resource boom
ID TROPICAL RAIN-FOREST; RESOURCE-ALLOCATION; DIPTEROCARP FOREST; POLLEN
   LIMITATION; FLOWER PRODUCTION; SEED PRODUCTION; FRUIT ABORTION; PLANT;
   POLLINATION; PHENOLOGY
AB In South-East Asian tropical plants, the excess production of reproductive organs is believed to be controlled by resource booms. However, the continuously flowering shrub Dillenia suffruticosa (Dilleniaceae) is often infested by fruit predators and occasionally produces fruits where mature seeds are absent. These reproductive features may support an alternative hypothesis for excess production of reproductive organs: the reproductive assurance hypothesis. We marked 1190 reproductive organs in 180 inflorescences of 41 plant individuals and examined the relationships among the reproductive organ features and the effects of both climate and predators. During the flower budding stage, the fate of reproductive organs was primary climate-induced. The percentage of flower/fruit abscission increased as the cumulative temperature and photosynthetically active radiation (PAR) decreased and the cumulative precipitation increased, supporting the resource boom hypothesis. Insect predation was the most common fate of immature fruits. As PAR increased, the prevalence of insect predation and production of mature seed increased. At a reduced PAR, the production of fruits with many immature seeds could serve as compensatory reproductive organs for insect predators, consistent with the reproductive assurance hypothesis. The excess production of reproductive organs might be a result of adaptation to climate fluctuations in the South-East Asian tropics.
C1 [Tokumoto, Yuji] Osaka Univ, Grad Sch Engn, Suita, Osaka 5650871, Japan.
   [Nakagawa, Michiko] Nagoya Univ, Grad Sch Bioagr Sci, Nagoya, Aichi 4648601, Japan.
C3 Osaka University; Nagoya University
RP Tokumoto, Y (corresponding author), Osaka Univ, Grad Sch Engn, 2-2 Yamadaoka, Suita, Osaka 5650871, Japan.
EM tokumoto.ug@gmail.com
RI Tokumoto, Yuji/AAG-9495-2019
OI Tokumoto, Yuji/0000-0001-5934-026X
FU Research Institute for Humanity and Nature project [D-04]; Japan Society
   for the Promotion of Science (JSPS) KAKENHI [20-687002, 22-6034]
FX We are grateful to Forest Department Sarawak and Sarawak Forestry
   Corporation for research permission and kind supports. We are greatly
   appreciative of Dr Tomonori Kume (National Taiwan Univ.) for providing
   the climate data at research site. We thank Dr Tomoaki Ichie (Kochi
   Univ.) for cooperating a photosynthetic analyser for SPAD scores
   (SPAD-502); Professor Tatsuhiro Omata (Nagoya Univ.) for cooperating
   Opt-leaf film analyser (D-Meter); Dr Masanori J Toda (Hokkaido Univ.
   Museum) for identification of one of the insect predators,
   Scaptodrosophila fly; Dr Tiansawat Pimonrat (Chiang Mai Univ.) for
   information about seed germination strategies of D. suffruticosa; Ms
   Tamaki Kamoi for seed dispersers' information; Mr Keneddy bin Eli for
   assisting with the field survey. This study was financially supported by
   the Research Institute for Humanity and Nature project (D-04), and Japan
   Society for the Promotion of Science (JSPS) KAKENHI Grants-in-Aid for
   Young Scientists (A) 20-687002 and for JSPS Fellows 22-6034.
CR Burd M, 1998, ECOLOGY, V79, P2123, DOI 10.1890/0012-9658(1998)079[2123:EFPASF]2.0.CO;2
   CAMPBELL DR, 1993, ECOLOGY, V74, P1043, DOI 10.2307/1940474
   Cunningham SA, 1997, OECOLOGIA, V111, P36, DOI 10.1007/s004420050205
   Davies SJ, 2006, J TROP ECOL, V22, P53, DOI 10.1017/S0266467405002944
   Davies SJ, 1999, AM J BOT, V86, P1786, DOI 10.2307/2656675
   Endress PK, 1997, PLANT SYST EVOL, V206, P99, DOI 10.1007/BF00987943
   ENDRESS PK, 1982, TAXON, V31, P48, DOI 10.2307/1220588
   Figueroa-Castro DM, 2011, J ARID ENVIRON, V75, P1214, DOI 10.1016/j.jaridenv.2011.04.027
   Flanagan LB, 2005, AGR FOREST METEOROL, V130, P237, DOI 10.1016/j.agrformet.2005.04.002
   Ghazoul J, 1998, J ECOL, V86, P462, DOI 10.1046/j.1365-2745.1998.00270.x
   Goto R, 2010, ECOL LETT, V13, P321, DOI 10.1111/j.1461-0248.2009.01425.x
   Hadfield JD, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i02
   Harrison RD, 2003, P ROY SOC B-BIOL SCI, V270, pS76, DOI 10.1098/rsbl.2003.0018
   HOLTSFORD TP, 1985, AM J BOT, V72, P1687, DOI 10.2307/2443724
   HOOGLAND R. D., 1952, BLUMEA, V7, P1
   Hoogland Ruurd D., 1996, Taxon, V45, P130, DOI 10.2307/1222602
   Horn JW, 2009, INT J PLANT SCI, V170, P794, DOI 10.1086/599239
   Ichie T, 2002, PHOTOSYNTHETICA, V40, P289, DOI 10.1023/A:1021362127882
   Ishizaki S, 2010, PLANT SPEC BIOL, V25, P61, DOI 10.1111/j.1442-1984.2009.00263.x
   Kamoi T, 2008, OECOLOGIA, V154, P663, DOI 10.1007/s00442-007-0864-2
   Kenta T, 2002, AM J BOT, V89, P60, DOI 10.3732/ajb.89.1.60
   Kenta T, 2007, BIOL CONSERV, V134, P298, DOI 10.1016/j.biocon.2006.07.023
   KENZO T., 2010, KANTO J FOR RES, V61, P137
   Knight TM, 2005, ANNU REV ECOL EVOL S, V36, P467, DOI 10.1146/annurev.ecolsys.36.102403.115320
   KOCHUMMEN K. M., 1972, TREE FLORA MALAYA, Vone, P183
   Kume T, 2011, AGR FOREST METEOROL, V151, P1183, DOI 10.1016/j.agrformet.2011.04.005
   Lay CR, 2011, ANN BOT-LONDON, V108, P749, DOI 10.1093/aob/mcr152
   Lee HS, 2003, 52 HA FOREST RES PLO
   Medrano M, 2000, AM J BOT, V87, P493, DOI 10.2307/2656592
   Michaloud G, 1996, J BIOGEOGR, V23, P513, DOI 10.1111/j.1365-2699.1996.tb00013.x
   Miyakawa T, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4769
   Momose K, 2004, ECOL RES, V19, P245, DOI 10.1111/j.1440-1703.2003.00629.x
   Momose Kuniyasu, 1996, Plant Species Biology, V11, P189, DOI 10.1111/j.1442-1984.1996.tb00145.x
   Mothershead K, 2000, ECOLOGY, V81, P30, DOI 10.2307/177131
   Muñoz A, 2005, OECOLOGIA, V143, P126, DOI 10.1007/s00442-004-1780-3
   Nakagawa M, 2005, BIOTROPICA, V37, P389, DOI 10.1111/j.1744-7429.2005.00051.x
   NEWSTROM LE, 1994, BIOTROPICA, V26, P141, DOI 10.2307/2388804
   NIESENBAUM RA, 1993, J ECOL, V81, P315, DOI 10.2307/2261501
   Obeso JR, 2002, NEW PHYTOL, V155, P321, DOI 10.1046/j.1469-8137.2002.00477.x
   Ogawa K, 2005, J PLANT RES, V118, P187, DOI 10.1007/s10265-005-0207-5
   Payne J., 2005, A Field Guide to the Mammals of Borneo
   Rivera G, 2001, TREE PHYSIOL, V21, P201, DOI 10.1093/treephys/21.4.201
   Sakai S, 2000, J TROP ECOL, V16, P337, DOI 10.1017/S0266467400001449
   Sakai S, 1999, AM J BOT, V86, P62, DOI 10.2307/2656955
   Sakai S, 1999, AM J BOT, V86, P1414, DOI 10.2307/2656924
   Schneider CA, 2012, NAT METHODS, V9, P671, DOI 10.1038/nmeth.2089
   Shem-Tov S, 2003, J ARID ENVIRON, V55, P123, DOI 10.1016/S0140-1963(02)00255-0
   SHIPP JL, 1987, INT J BIOMETEOROL, V31, P9, DOI 10.1007/BF02192831
   Somanathan H, 2000, BIOL CONSERV, V94, P243, DOI 10.1016/S0006-3207(99)00170-6
   Spiegelhalter DJ, 2002, J R STAT SOC B, V64, P583, DOI 10.1111/1467-9868.00353
   STEPHENSON AG, 1981, ANNU REV ECOL SYST, V12, P253, DOI 10.1146/annurev.es.12.110181.001345
   Tokumoto Y, 2014, BIOTROPICA, V46, P583, DOI 10.1111/btp.12135
   Tokumoto Y, 2009, PLANT SPEC BIOL, V24, P104, DOI 10.1111/j.1442-1984.2009.00243.x
   VAN DER PIJL L., 1954, BIOL MED SCI, V57, P413
   Watanabe T, 1997, SOIL SCI PLANT NUTR, V43, P827, DOI 10.1080/00380768.1997.10414649
   Wesselingh RA, 2007, NEW PHYTOL, V174, P26, DOI 10.1111/j.1469-8137.2007.01997.x
   Zhang SB, 2005, ANN BOT-LONDON, V96, P43, DOI 10.1093/aob/mci146
NR 57
TC 2
Z9 2
U1 0
U2 16
PU CAMBRIDGE UNIV PRESS
PI NEW YORK
PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA
SN 0266-4674
EI 1469-7831
J9 J TROP ECOL
JI J. Trop. Ecol.
PD JAN
PY 2016
VL 32
BP 50
EP 62
DI 10.1017/S0266467415000632
PN 1
PG 13
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA CZ7VJ
UT WOS:000367308000004
DA 2025-01-10
ER

PT J
AU Miles, EL
   Snover, AK
   Binder, LCW
   Sarachik, ES
   Mote, PW
   Mantua, N
AF Miles, E. L.
   Snover, A. K.
   Binder, L. C. Whitely
   Sarachik, E. S.
   Mote, P. W.
   Mantua, N.
TI An approach to designing a national climate service
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE Pacific Northwest climate; regional integrated sciences and assessments
ID PACIFIC-NORTHWEST; MOUNTAIN SNOWPACK; WATER-RESOURCES; EL-NINO;
   FORECASTS; WEATHER; IMPACTS; SALMON; VARIABILITY; OSCILLATION
AB Climate variability and change are considerably important for a wide range of human activities and natural ecosystems. Climate science has made major advances during the last two decades, yet climate information is neither routinely useful for nor used in planning. What is needed is a mechanism, a national climate service (NCS), to connect climate science to decision-relevant questions and support building capacity to anticipate, plan for, and adapt to climate fluctuations. This article contributes to the national debate for an NCS by describing the rationale for building an NCS, the functions and services it would provide, and how it should be designed and evaluated. The NCS is most effectively achieved as a federal interagency partnership with critically important participation by regional climate centers, state climatologists, the emerging National Integrated Drought information System, and the National Oceanic and Atmospheric Administration (NOAA) Regional Integrated Sciences Assessment (RISA) teams in a sustained relationship with a wide variety of stakeholders. Because the NCS is a service, and because evidence indicates that the regional spatial scale is most important for delivering climate services, given subnational geographical/geophysical complexity, attention is focused on lessons learned from the University of Washington Climate Impacts Group's 10 years of experience, the first of the NOAA RISA teams.
C1 Univ Washington, Climate Impacts Grp, Ctr Sci Earth Syst, Joint Inst Study Atmosphere & Ocean, Seattle, WA 98195 USA.
C3 University of Washington; University of Washington Seattle
RP Miles, EL (corresponding author), Univ Washington, Climate Impacts Grp, Ctr Sci Earth Syst, Joint Inst Study Atmosphere & Ocean, Box 354235, Seattle, WA 98195 USA.
EM edmiles@u.washington.edu
RI Mote, Philip/AAB-3500-2021
OI Mote, Philip/0000-0002-3580-3730
CR [Anonymous], AD CLIM OBS SYST
   Bales RC, 2004, B AM METEOROL SOC, V85, P1727, DOI 10.1175/BAMS-85-11-1727
   Berliner LM, 1999, J ATMOS SCI, V56, P2536, DOI 10.1175/1520-0469(1999)056<2536:SDFAWO>2.0.CO;2
   Callahan B, 1999, POLICY SCI, V32, P269, DOI 10.1023/A:1004604805647
   CHANGNON SA, 1995, B AM METEOROL SOC, V76, P711, DOI 10.1175/1520-0477(1995)076<0711:UAAOCF>2.0.CO;2
   Changnon SA, 1999, B AM METEOROL SOC, V80, P1819, DOI 10.1175/1520-0477(1999)080<1819:IOENOG>2.0.CO;2
   Fagre DB, 2003, CLIMATIC CHANGE, V59, P263, DOI 10.1023/A:1024427803359
   Gamble JL, 2003, WATER RES M, V16, P341
   Hamlet AF, 2005, J CLIMATE, V18, P4545, DOI 10.1175/JCLI3538.1
   Hare SR, 1999, FISHERIES, V24, P6, DOI 10.1577/1548-8446(1999)024<0006:IPR>2.0.CO;2
   Hartmann HC, 2002, B AM METEOROL SOC, V83, P683, DOI 10.1175/1520-0477(2002)083<0683:CBESCF>2.3.CO;2
   Hessl AE, 2004, ECOL APPL, V14, P425, DOI 10.1890/03-5019
   Jacobs K, 2005, ENVIRONMENT, V47, P6, DOI 10.3200/ENVT.47.9.6-21
   Mantua NJ, 1997, B AM METEOROL SOC, V78, P1069, DOI 10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2
   McKenzie D, 2004, CONSERV BIOL, V18, P890, DOI 10.1111/j.1523-1739.2004.00492.x
   Miles EL, 2000, J AM WATER RESOUR AS, V36, P399, DOI 10.1111/j.1752-1688.2000.tb04277.x
   Morss RE, 2001, J ATMOS SCI, V58, P210, DOI 10.1175/1520-0469(2001)058<0210:IAOSFI>2.0.CO;2
   Mote PW, 2006, J CLIMATE, V19, P6209, DOI 10.1175/JCLI3971.1
   Mote PW, 2003, CLIMATIC CHANGE, V61, P45, DOI 10.1023/A:1026302914358
   Mote PW, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017258
   Mote PW, 2005, B AM METEOROL SOC, V86, P39, DOI 10.1175/BAMS-86-1-39
   Mote PW, 2003, NORTHWEST SCI, V77, P271
   *NAT RES COUNC, 2001, CLIM SERV VIS
   *NAT RES COUNC, 2005, KNOWL ACT SYST SEAS
   National Research Council (U.S.), 1999, GLOB ENV CHANG RES P
   Pagano TC, 2001, J AM WATER RESOUR AS, V37, P1139, DOI 10.1111/j.1752-1688.2001.tb03628.x
   Pielke RA, 1999, B AM METEOROL SOC, V80, P2027, DOI 10.1175/1520-0477(1999)080<2027:LNAENO>2.0.CO;2
   Pulwarty RS, 1997, B AM METEOROL SOC, V78, P381, DOI 10.1175/1520-0477(1997)078<0381:CASRIT>2.0.CO;2
   Rayner S, 2005, CLIMATIC CHANGE, V69, P197, DOI 10.1007/s10584-005-3148-z
NR 29
TC 58
Z9 66
U1 0
U2 28
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 26
PY 2006
VL 103
IS 52
BP 19616
EP 19623
DI 10.1073/pnas.0609090103
PG 8
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 123GX
UT WOS:000243285500004
PM 17158218
OA Green Published
DA 2025-01-10
ER

PT J
AU Wang, SY
   Zhang, HM
   Wu, K
   Nygaard, C
   Min, JL
AF Wang, Shuyuan
   Zhang, Huiming
   Wu, Kai
   Nygaard, Christian
   Min, Jialin
TI Deciphering the unequal impact of extreme temperatures on county
   sustainability in China
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article; Early Access
DE Extreme temperatures; Sustainable development; Unequal impact
ID CLIMATE-CHANGE; ECONOMIC-IMPACTS; CROP PRODUCTION; ADAPTATION; WEATHER;
   GROWTH; HEAT; FOOD; PRODUCTIVITY; AGRICULTURE
AB This study investigates the nonlinear effects of extreme temperatures on county-level sustainable development in China, addressing a critical gap in climate change impact research. Understanding this relationship is crucial for developing effective climate adaptation and mitigation strategies at the local level. China's vast territory and diverse climate conditions are utilized as a natural experiment, given its position as the world's largest developing economy and greenhouse gas emitter. We construct a novel county sustainability index encompassing five dimensions: human capital, natural capital, physical capital, financial capital, and social capital. Using panel data from 2000 to 2020 and a fixed effects model, we estimate the effect of temperature bins on sustainability. An inverted U-shaped relationship between temperature and sustainability is identified, with an optimal range between 6 and 12 degrees C. Agricultural counties show greater vulnerability to extreme heat, while non-agricultural counties are more affected by extreme cold. We identify agricultural mechanization, grain production, and labor productivity as key transmission channels. Our research contributes to understanding the complex climate-sustainability relationship, highlighting Chinese counties' differential vulnerability to climate change. Evidence is provided for the development of targeted policies to mitigate the adverse impacts of extreme temperatures on sustainable development.
C1 [Wang, Shuyuan] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China.
   [Zhang, Huiming] Nanjing Univ Informat Sci & Technol, Inst Climate Econ & Low carbon Ind, Nanjing 210044, Peoples R China.
   [Wu, Kai] Cent Univ Finance & Econ, Sch Finance, Beijing 100081, Peoples R China.
   [Nygaard, Christian] Swinburne Univ Technol, Ctr Urban Transit, Hawthorn, Vic 3122, Australia.
   [Min, Jialin] Xiamen Univ, Sch Econ, Xiamen 361005, Peoples R China.
C3 Nanjing University of Information Science & Technology; Nanjing
   University of Information Science & Technology; Central University of
   Finance & Economics; Swinburne University of Technology; Xiamen
   University
RP Zhang, HM (corresponding author), Nanjing Univ Informat Sci & Technol, Inst Climate Econ & Low carbon Ind, Nanjing 210044, Peoples R China.
EM hm.zhang_16@163.com
FU National Natural Science Foundation of China [72103217, 72474108];
   National Science Foundation of China [2023SJZD025]; Major Project of
   Philosophy and Social Science of Jiangsu Province [24YJAZH213];
   Humanities and Social Science Fund of Ministry of Education (Planning
   Project)
FX We acknowledge the financial support from the National Science
   Foundation of China (72103217, 72474108) and The Major Project of
   Philosophy and Social Science of Jiangsu Province (2023SJZD025) ,
   Humanities and Social Science Fund of Ministry of Education (Planning
   Project, no. 24YJAZH213 ), and the data support from "National Earth
   System Science Data Center, National Science & Technology Infrastructure
   of China (http://www.geodata.cn)".
CR Addoum JM, 2023, J FINANC ECON, V150, P1, DOI 10.1016/j.jfineco.2023.07.002
   Alexandratos N, 1999, P NATL ACAD SCI USA, V96, P5908, DOI 10.1073/pnas.96.11.5908
   Alston JM, 2009, SCIENCE, V325, P1209, DOI 10.1126/science.1170451
   Amare M, 2018, AGR SYST, V166, P79, DOI 10.1016/j.agsy.2018.07.014
   Anderson GB, 2018, CLIMATIC CHANGE, V146, P455, DOI 10.1007/s10584-016-1779-x
   Andersson AK, 2011, ACCIDENT ANAL PREV, V43, P284, DOI 10.1016/j.aap.2010.08.025
   [Anonymous], 2004, Risk Analysis in Theory and Practice
   Arbuthnott K, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0102-7
   Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/nclimate2470, 10.1038/NCLIMATE2470]
   Auffhammer M, 2017, P NATL ACAD SCI USA, V114, P1886, DOI 10.1073/pnas.1613193114
   Auffhammer M, 2013, REV ENV ECON POLICY, V7, P181, DOI 10.1093/reep/ret016
   Auffhammer M, 2011, CLIMATIC CHANGE, V109, P191, DOI [10.1007/s10584-011-0299-y, 10.1007/s10584-011-0299-v]
   Bansal R., 2011, Working Paper Series, DOI [10.3386/w17575, DOI 10.3386/W17575]
   Barlow KM, 2015, FIELD CROP RES, V171, P109, DOI 10.1016/j.fcr.2014.11.010
   Barreca A, 2016, J POLIT ECON, V124, P105, DOI 10.1086/684582
   Battiston S, 2017, NAT CLIM CHANGE, V7, P283, DOI [10.1038/nclimate3255, 10.1038/NCLIMATE3255]
   Bhattacharya J, 2003, AM J PUBLIC HEALTH, V93, P1149, DOI 10.2105/AJPH.93.7.1149
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   Burke M, 2015, ANNU REV ECON, V7, P577, DOI 10.1146/annurev-economics-080614-115430
   Chen XG, 2019, J ENVIRON ECON MANAG, V95, P257, DOI 10.1016/j.jeem.2017.07.009
   Chinowsky P, 2019, TRANSPORT POLICY, V75, P183, DOI 10.1016/j.tranpol.2017.05.007
   de Janvry A, 2010, WORLD BANK RES OBSER, V25, P1, DOI 10.1093/wbro/lkp015
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   Dell M, 2012, AM ECON J-MACROECON, V4, P66, DOI 10.1257/mac.4.3.66
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Deschênes O, 2011, AM ECON J-APPL ECON, V3, P152, DOI 10.1257/app.3.4.152
   Diallo A, 2020, CLIMATIC CHANGE, V159, P309, DOI 10.1007/s10584-020-02684-8
   Dunne JP, 2013, NAT CLIM CHANGE, V3, P563, DOI 10.1038/NCLIMATE1827
   Ewert F, 2015, ENVIRON MODELL SOFTW, V72, P287, DOI 10.1016/j.envsoft.2014.12.003
   Fang D., 2024, Evidence from China. Applied Energy, V373, P123928, DOI [10.1016/j.apenergy.2024.123928, DOI 10.1016/J.APENERGY.2024.123928]
   Gasparrini A, 2015, LANCET, V386, P369, DOI 10.1016/S0140-6736(14)62114-0
   Guo RP, 2010, AGR WATER MANAGE, V97, P1185, DOI 10.1016/j.agwat.2009.07.006
   He GJ, 2020, J DEV ECON, V145, DOI 10.1016/j.jdeveco.2020.102485
   He XB, 2022, J ENVIRON ECON MANAG, V112, DOI 10.1016/j.jeem.2022.102626
   Hidalgo CA, 2009, P NATL ACAD SCI USA, V106, P10570, DOI 10.1073/pnas.0900943106
   Hoffman JS, 2020, CLIMATE, V8, DOI 10.3390/cli8010012
   Hsiang S, 2017, SCIENCE, V356, P1362, DOI 10.1126/science.aal4369
   Kahn ME, 2021, ENERG ECON, V104, DOI 10.1016/j.eneco.2021.105624
   Karlan D, 2014, Q J ECON, V129, P597, DOI 10.1093/qje/qju002
   Khanal U, 2018, CLIMATIC CHANGE, V148, P575, DOI 10.1007/s10584-018-2214-2
   Kienzle J., 2013, MECHANIZATION RURAL
   Kjellstrom T, 2016, ANNU REV PUBL HEALTH, V37, P97, DOI 10.1146/annurev-publhealth-032315-021740
   Klinger Chaamala, 2014, PLoS Curr, V6, DOI 10.1371/currents.dis.04eb1dc5e73dd1377e05a10e9edde673
   Li QW, 2023, ENERG ECON, V127, DOI 10.1016/j.eneco.2023.107117
   Lobell DB, 2012, PLANT PHYSIOL, V160, P1686, DOI 10.1104/pp.112.208298
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Mäkinen TM, 2009, RESP MED, V103, P456, DOI 10.1016/j.rmed.2008.09.011
   Makinen Tiina Maria, 2010, Front Biosci (Schol Ed), V2, P1047
   Mäkinen TM, 2006, PHYSIOL BEHAV, V87, P166, DOI 10.1016/j.physbeh.2005.09.015
   Mora C, 2017, NAT CLIM CHANGE, V7, P501, DOI [10.1038/nclimate3322, 10.1038/NCLIMATE3322]
   O'Neill MS, 2005, J URBAN HEALTH, V82, P191, DOI 10.1093/jurban/jti043
   Peng JQ, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.838686
   Pingali P., 2007, HDB AGR EC, V3, P2779, DOI DOI 10.1016/S1574-0072(06)03054-4
   Pingali PL, 2012, P NATL ACAD SCI USA, V109, P12302, DOI 10.1073/pnas.0912953109
   Rahman MM, 2021, J AGR FOOD RES, V6, DOI 10.1016/j.jafr.2021.100225
   Ryti NRI, 2016, ENVIRON HEALTH PERSP, V124, P12, DOI 10.1289/ehp.1408104
   Sarkar A, 2020, MILLENN ASIA, V11, P160, DOI 10.1177/0976399620925440
   Schauberger B, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms13931
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Sun CW, 2024, ENERG ECON, V138, DOI 10.1016/j.eneco.2024.107871
   Sun CW, 2024, ENERG POLICY, V190, DOI 10.1016/j.enpol.2024.114150
   Sun CW, 2024, RENEW SUST ENERG REV, V199, DOI 10.1016/j.rser.2024.114501
   Talukdar D, 2001, WORLD DEV, V29, P827, DOI 10.1016/S0305-750X(01)00008-0
   Thirtle C, 2003, WORLD DEV, V31, P1959, DOI 10.1016/j.worlddev.2003.07.001
   Thurlow J, 2012, REV DEV ECON, V16, P394, DOI 10.1111/j.1467-9361.2012.00670.x
   TIMMER CP, 1992, AGR SYST, V40, P21, DOI 10.1016/0308-521X(92)90015-G
   UNDP, 2021, Transforming Our World: the 2030 Agenda for Sustainable Development
   von Braun J, 2010, NEW BIOTECHNOL, V27, P449, DOI 10.1016/j.nbt.2010.08.006
   Wang JY, 2019, REG ENVIRON CHANGE, V19, P1023, DOI 10.1007/s10113-018-1450-3
   Wang M, 2012, RISK ANAL, V32, P1717, DOI 10.1111/j.1539-6924.2012.01797.x
   Wang XB, 2016, AGR ECON-BLACKWELL, V47, P309, DOI 10.1111/agec.12231
   Wang Y, 2023, MATERIALS, V16, DOI 10.3390/ma16247646
   Wu JZ, 2020, J CLEAN PROD, V260, DOI 10.1016/j.jclepro.2020.121011
   Wu SH, 2014, CRIT REV FOOD SCI, V54, P151, DOI 10.1080/10408398.2011.578764
   Zhang P, 2018, J ENVIRON ECON MANAG, V88, P1, DOI 10.1016/j.jeem.2017.11.001
   Zhang P, 2017, J ENVIRON ECON MANAG, V83, P8, DOI 10.1016/j.jeem.2016.12.001
   Zhao C, 2017, P NATL ACAD SCI USA, V114, P9326, DOI 10.1073/pnas.1701762114
   Zhao YJ, 2023, INT J DISAST RISK RE, V95, DOI 10.1016/j.ijdrr.2023.103823
   Zhao Y, 2020, J CLEAN PROD, V272, DOI 10.1016/j.jclepro.2020.122759
   Zhou L, 2014, CHINA ECON REV, V28, P72, DOI 10.1016/j.chieco.2014.01.001
   Zivin JG, 2014, J LABOR ECON, V32, P1, DOI 10.1086/671766
NR 83
TC 0
Z9 0
U1 5
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 2024 OCT 29
PY 2024
DI 10.1007/s10668-024-05564-8
EA OCT 2024
PG 41
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA K8R9P
UT WOS:001346525400001
DA 2025-01-10
ER

PT J
AU García-Blanco, G
   Navarro, D
   Feliu, E
AF Garcia-Blanco, Gemma
   Navarro, Daniel
   Feliu, Efren
TI Adopting Resilience Thinking through Nature-Based Solutions within Urban
   Planning: A Case Study in the City of Valencia
SO BUILDINGS
LA English
DT Article
DE resilience; climate change; risk; adaptative planning; nature-based
   solutions
ID CLIMATE-CHANGE; COMFORT; STRESS
AB The paper exposes the experience of Valencia in applying climate-resilient thinking to the current revision of the city's General Urban Development Plan. A semi-quantitative, indicator-based risk assessment of heat stress was carried out on the 23 functional areas of the city sectorized by the Plan, including modeling and spatial analysis exercises. A data model of 18 indicators was built to characterize vulnerability. A thermal stress map was developed using the URbCLim model and a heat index was then calculated using Copernicus hourly data (air temperature, humidity, and wind speed) for the period of January 2008-December 2017 at a spatial resolution of 100 m x 100 m. General recommendations at the city level as well as guidelines for development planning in the functional areas at risk are provided, with specifications for the deployment of nature-based solutions as adaptation measures. From a planning perspective, the study positively informs the General Urban Development Plan, the City Green and Biodiversity Plan, and contributes to City Urban Strategy 2030 and City Missions 2030 for climate adaptation and neutrality. Applying the same approach to other climate change-related hazards (i.e., water scarcity, pluvial flooding, sea level rise) will allow better informed decisions towards resilient urban planning.
C1 [Garcia-Blanco, Gemma; Navarro, Daniel; Feliu, Efren] Fdn TECNALIA Res & Innovat, Derio 48160, Spain.
RP Feliu, E (corresponding author), Fdn TECNALIA Res & Innovat, Derio 48160, Spain.
EM gemma.garcia@tecnalia.com; daniel.navarro@tecnalia.com;
   efren.feliu@tecnalia.com
OI Navarro, Daniel/0000-0002-0705-586X; Garcia Blanco,
   Gemma/0000-0002-7835-4373
FU GrowGreen Project, under the European Union [730283]; H2020 Societal
   Challenges Programme [730283] Funding Source: H2020 Societal Challenges
   Programme
FX This research was funded by the GrowGreen Project, under the European
   Union's Horizon 2020 Research and Innovation Programme (grant agreement
   number 730283).
CR Al Sayah MJ, 2022, URBAN CLIM, V44, DOI 10.1016/j.uclim.2022.101229
   [Anonymous], 2022, European Commission Population on 1 January by Age Group and Sex (demo pjangroup) Data File Dataset
   [Anonymous], BOEA201511723
   [Anonymous], 2021, JEFATURA ESTADO LEY, P62009
   Ayuntamiento de Valencia, 2018, PLAN ESP DIR CAL URB
   Ayuntamiento de Valencia, 2020, URB ESTR VAL 2030
   Barker A., 2021, Nature-Based Solutions for More Sustainable CitiesA Framework Approach for Planning and Evaluation, P97, DOI [10.1108/978-1-80043-636-720211008, DOI 10.1108/978-1-80043-636-720211008]
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Blazejczyk K, 2012, INT J BIOMETEOROL, V56, P515, DOI 10.1007/s00484-011-0453-2
   Coccolo S, 2016, URBAN CLIM, V18, P33, DOI 10.1016/j.uclim.2016.08.004
   Comission of the European Parliament,, 2021, COMM COMM EUR PARL C
   De Ridder K, 2015, URBAN CLIM, V12, P21, DOI 10.1016/j.uclim.2015.01.001
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   European Commission, EUR CLIM LAW
   European Commission, 2021, Evaluating the Impact of Nature-Based Solutions: A Handbook for Practitioners, DOI [10.2777/244577, DOI 10.2777/244577]
   European Environment Agency, HEAT COLD EXTR HEAT
   Faivre N, 2017, ENVIRON RES, V159, P509, DOI 10.1016/j.envres.2017.08.032
   Feliu E., 2015, GUIA ELABORACION PLA
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fritz M, 2017, THEOR PRACT URB SUST, P159, DOI 10.1007/978-3-319-56091-5_10
   Gherri B, 2021, HERITAGE-BASEL, V4, P4286, DOI 10.3390/heritage4040236
   Iungman T, 2023, LANCET, V401, P577, DOI 10.1016/S0140-6736(22)02585-5
   Keramitsoglou I, 2017, SUSTAIN CITIES SOC, V34, P56, DOI 10.1016/j.scs.2017.06.006
   Lafortezza R, 2019, ENVIRON RES, V172, P394, DOI 10.1016/j.envres.2018.12.063
   Ley de Cambio Climatico y Transicion, LEY CAMBIO CLIMATICO
   Liu Y, 2014, BIOGEOSCIENCES, V11, P2583, DOI 10.5194/bg-11-2583-2014
   Mayor B, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137413
   Missions Valencia, MISSIONS VALENCIA 20
   Nardo M., 2008, Handbook on constructing composite indicators: Methodology and user guide
   Nazarian N, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002682
   Reid CE, 2012, ENVIRON HEALTH PERSP, V120, P715, DOI 10.1289/ehp.1103766
   Rothfusz L.P., 1990, 9023 NAT OC ATM ADM
   Sanusi R, 2020, CLIM CHANG MANAG, P545, DOI 10.1007/978-3-030-37425-9_28
   Sturiale L, 2019, CLIMATE, V7, DOI 10.3390/cli7100119
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tapia C, 2017, ECOL INDIC, V78, P142, DOI 10.1016/j.ecolind.2017.02.040
   Tyrväinen L, 2014, J ENVIRON PSYCHOL, V38, P1, DOI 10.1016/j.jenvp.2013.12.005
   UNDRR, 2012, MAK CIT MOR RES HDB, P102
   UNISDR (United Nations International Strategy for Disaster Reduction), 2015, Sendai Framework for Disaster Risk Reduction 2015-2030
   United Nations, 2019, World Population Ageing 2019
   Valone T.F., 2021, J. Geosci. Environ. Prot, V9, P84, DOI DOI 10.4236/GEP.2021.93007
   World Health Organization Regional Office for Europe, 2016, Urban Green Spaces and Health
NR 42
TC 3
Z9 3
U1 7
U2 28
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2075-5309
J9 BUILDINGS-BASEL
JI BUILDINGS-BASEL
PD MAY 18
PY 2023
VL 13
IS 5
AR 1317
DI 10.3390/buildings13051317
PG 20
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA H8GF7
UT WOS:000998274500001
OA gold
DA 2025-01-10
ER

PT J
AU Zhao, Y
   Zhao, TT
   Xiong, XF
   Sun, YK
AF Zhao, Yue
   Zhao, Tingting
   Xiong, Xuefei
   Sun, Yukun
TI Understanding the conflict and cooperation in the Yarlung
   Tsangpo-Brahmaputra River Basin under climate change: a quantitative
   view based on water events
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE climate change; conflict; cooperation; Yarlung Tsangpo-Brahmaputra
ID ENERGY; SECURITY; DIPLOMACY; NEXUS
AB The Yarlung Tsangpo-Brahmaputra River Basin (YBRB) has long been troubled by the competitive water development activities of India, China, and Bangladesh. While energy thirst and food security keep challenging the riparian States, climate-related changing monsoon pattern increases the potential for conflicts over scarce water. Based on a quantitative analysis of 400 water events spanning the years 1958- 2020 of the basin, this research tries to provide a holistic understanding of the conflict and cooperation and explore the possibility of water war or "climate-based' water war in the basin; and thus formulate more precise recommendations to help prevent and mitigate conflicts. The results of this quantitative research surprisingly reveal that, instead of being main causes of bilateral conflict in the basin, the "energy imperative' and the "climate imperative' have become two major catalysts for water cooperation in the basin, water war is therefore highly unlikely. However, current bilateral cooperation on climate change mainly involves "climate adaptation'; few efforts have yet been made cooperatively in the field of "climate mitigation'; while traditional disputes around food and energy persist, the imperative of ecological protection and the lack of attention to cooperative climate mitigation are set to intensify potential conflict in the YBRB.
C1 [Zhao, Yue; Zhao, Tingting; Xiong, Xuefei] Sichuan Univ, Coll Law, Chengdu, Peoples R China.
   [Sun, Yukun] China Univ Polit Sci & Law, Coll Law, Beijing, Peoples R China.
C3 Sichuan University; China University of Political Science & Law
RP Zhao, Y (corresponding author), Sichuan Univ, Coll Law, Chengdu, Peoples R China.
EM zhaoyue@scu.edu.cn
RI 赵, 越/HOA-4518-2023; ZHAO, TingTing/AAP-2879-2020
OI ZHAO, YUE/0000-0002-6667-3342
CR Agencies, 2012, CURR CONTENTS
   Agencies, 2013, DAILY STAR
   [Anonymous], 2016, Transboundary River Basins: Status and Trends. United Nations Environment Programme (UNEP)
   Asian Disaster Preparedness Center, 2022, CLIMATE CHANGE WATER
   Badrzadeh N, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156643
   Bernauer T, 2012, INT INTERACT, V38, P529, DOI 10.1080/03050629.2012.697428
   Bhattacharya P., 2012, DAILY STAR
   Biggs S., 2018, VANDERBILT J TRANS L, V51, P555
   Chaudhury D. R., 2018, EC TIMES
   Chellaney Brahma., 2013, Water: Asias New Battleground
   Christopher M., 2013, CASE STUDY
   Cooper S. D., 2005, REV COMMUNICATION, V5, P81, DOI [10.1080/1535859052000340668, DOI 10.1080/1535859052000340668]
   De Stefano L., 2009, UPDATING INT WATER E
   Delli Priscoli Jerome., 2009, MANAGING TRANSFORMIN
   Feldes K, 2017, CONTEMP S ASIAN STUD, P173, DOI 10.1007/978-3-319-56747-1_10
   French M., 2014, INT AFFAIRS REV, V22, P6
   Gautam PK, 2012, STRATEG ANAL, V36, P32, DOI 10.1080/09700161.2012.628482
   Goldman R., 2020, NEW YORK TIMES
   GOLDSTEIN JS, 1992, J CONFLICT RESOLUT, V36, P369, DOI 10.1177/0022002792036002007
   He DM, 2014, J APPL ECOL, V51, P1159, DOI 10.1111/1365-2664.12298
   Holslag J., 2011, J INT AFF, V64, P19
   IDSA Task Force, 2010, WAT SEC IND EXT DYN
   Jabal ZK, 2022, CIV ENG J-TEHRAN, V8, P1136, DOI 10.28991/CEJ-2022-08-06-04
   Joshi N. M., 2013, Hydro Nepal: Journal of Water, Energy and Environment, V12, P13
   Kalita P., 2017, EC TIMES
   Keskinen M, 2016, WATER-SUI, V8, DOI 10.3390/w8050193
   Kittikhoun A, 2018, J HYDROL, V567, P654, DOI 10.1016/j.jhydrol.2018.09.059
   Klare M.T., 2020, J. Strat. Secur., V13, P109, DOI DOI 10.5038/1944-0472.13.4.1826
   Kumar R., 2021, WATER-SUI
   Lawford R, 2013, CURR OPIN ENV SUST, V5, P607, DOI 10.1016/j.cosust.2013.11.005
   Lim DJ, 2019, INT RELAT ASIA-PAC, V19, P493, DOI 10.1093/irap/lcz006
   Lim DJ, 2015, SECUR STUD, V24, P696, DOI 10.1080/09636412.2015.1103130
   Liu P., 2015, SPOTLIGHT REGIONAL A, Vxxxiv, P10
   Lyu H, 2023, J HYDROL-REG STUD, V45, DOI 10.1016/j.ejrh.2022.101293
   Mahapatra S.K., 2016, WATER UTILITY J, V13, P91
   Middleton C, 2021, INT ENVIRON AGREEM-P, V21, P235, DOI 10.1007/s10784-020-09511-6
   Mustafizur P., 2009, DAILY STAR
   Pak J. H., 2016, PARAMETERS, V46, P53
   Palden, 2016, KUENSEL
   Quesnel KJ, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1700784
   Roy P., 2013, DAILY STAR
   Roy S. D., 2019, DAILY STAR
   Sahu AK, 2022, INT POLITICS, V59, P320, DOI 10.1057/s41311-021-00313-4
   Scheffran J, 2011, REG ENVIRON CHANGE, V11, pS27, DOI 10.1007/s10113-010-0175-8
   Shanta H. A., 2018, Journal of Sustainable Development, V11, P33, DOI 10.5539/jsd.v11n3p33
   Shrestha A. B., 2015, The Himalayan Climate and Water Atlas: impact of climate change on water resources in five of Asia's major river basins
   Siderius C, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac94e9
   Smith D., 2017, CLIMATE CONFLICT LIN
   Subedi B., 2016, KATHMANDU POST
   Surie M., 2015, STRENGTHENING TRANSP, P1
   Suwarno I., 2021, Emerging Science Journal, V4, P154, DOI DOI 10.28991/ESJ-2021-SP1-011
   Wirsing R., 2012, International Conflict over Water Resources in Himalayan Asia
   Wolf A. T., 2003, Water Policy, V5, P29
   Wolf Aaron., 2006, Navigating Peace, V1, P1
   Wouters P., 2013, J WATER LAW, V22, P229
   Wouters P, 2014, REV EUR COMP INT ENV, V23, P67, DOI 10.1111/reel.12069
   Xie L, 2017, INT ENVIRON AGREEM-P, V17, P677, DOI 10.1007/s10784-016-9339-4
   Xue H., 2005, CHIN J INT LAW, V4, P133, DOI [10.1093/chinesejil/jmi004, DOI 10.1093/CHINESEJIL/JMI004]
   Yang YCE, 2016, GLOBAL ENVIRON CHANG, V37, P16, DOI 10.1016/j.gloenvcha.2016.01.002
   Yasuda Y, 2018, WATER INT, V43, P642, DOI 10.1080/02508060.2018.1503446
   Yoffe S, 2003, J AM WATER RESOUR AS, V39, P1109, DOI 10.1111/j.1752-1688.2003.tb03696.x
   Yoffe S. B., 2001, BASINS RISK WATER EV
   Yue Q, 2021, AGR WATER MANAGE, V252, DOI 10.1016/j.agwat.2021.106899
   Zhang H., 2015, DIPLOMAT        0630
   Zhang HZ, 2016, WIRES WATER, V3, P155, DOI 10.1002/wat2.1123
NR 65
TC 0
Z9 0
U1 7
U2 28
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 APR
PY 2023
VL 14
IS 4
BP 1226
EP 1246
DI 10.2166/wcc.2023.411
EA MAR 2023
PG 21
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA E3LS8
UT WOS:000952718800001
OA gold
DA 2025-01-10
ER

PT C
AU Dailoo, SI
   Farrokhi, A
   Lu, C
AF Dailoo, Shabnam Inanloo
   Farrokhi, Alireza
   Lu, Chris
BE Tucci, G
   Balletti, C
   Bonora, V
   Fassi, F
   Spano, A
   Parisi, EI
   Previtali, M
   Sammartano, G
TI HERITAGE DOCUMENTATION AND DIGITAL PRESERVATION: THE USE OF CLOUD-BASED
   SERVICES FOR HERITAGE CONSERVATION (THE CASE OF ST. ALBERT RIVER LOTS)
SO 29TH CIPA SYMPOSIUM DOCUMENTING, UNDERSTANDING, PRESERVING CULTURAL
   HERITAGE. HUMANITIES AND DIGITAL TECHNOLOGIES FOR SHAPING THE FUTURE,
   VOL. 48-M-2
SE International Archives of the Photogrammetry, Remote Sensing and Spatial
   Information Sciences
LA English
DT Proceedings Paper
CT 29th CIPA Symposium on Documenting, Understanding, Preserving Cultural
   Heritage - Humanities and Digital Technologies for Shaping the Future
CY JUN 25-30, 2023
CL Florence, ITALY
SP CIPA, ISPRS
DE Heritage Documentation; Digital Preservation; Cloud Computing; Heritage
   Conservation; 3D Modelling; Climate Impact; Public Awareness
AB Climate change has become, among countless pressures, a dominant threat to heritage places. It is critical to identify, analyse, assess, and mitigate immediate risks, and manage unforeseeable, unavoidable, and adverse impacts of climate on heritage values. There is an urgency in the heritage field to identify practical, efficient, and repeatable ways to document and monitor the condition of diverse heritage resources and develop climate adaptation strategies. Digital technologies, cloud computing, and digital preservation of heritage places can play a vital role in support of condition assessment, conservation planning, and sustainable management of heritage resources. This paper discusses a pilot project that experiments with the application of this idea on a selected case study, St. Albert River Lots in Alberta, Canada, and examines the challenges and opportunities of employing Amazon Web Services (AWS) and other Cloud-based applications. The project aimed to prepare a 3D model, as a foundation for recording current conditions and a tool for monitoring the impacts of climate change on heritage aspects and values in order to assist with the preparation of a detailed conservation management plan for the place in a digital format and contribute to the interpretive programming activities and raising public awareness.
C1 [Dailoo, Shabnam Inanloo] Athabasca Univ, Heritage Resources Management Program, Fac Humanities & Social Sci, Athabasca, AB, Canada.
   [Farrokhi, Alireza] Alberta Culture, Hist Resources Management Branch, Edmonton, AB, Canada.
   [Lu, Chris] Athabasca Univ, IDEA Lab, Athabasca, AB, Canada.
C3 Athabasca University; Athabasca University
RP Dailoo, SI (corresponding author), Athabasca Univ, Heritage Resources Management Program, Fac Humanities & Social Sci, Athabasca, AB, Canada.
EM inanloo@athabascau.ca; afarrokhi@gmail.com; chrischien630@gmail.com
RI Farrokhi, Alireza/ABC-9772-2021
FU Athabasca University Research Office's IDEA Lab
FX This project was funded by Athabasca University Research Office's IDEA
   Lab. It was conducted in collaboration with St. Albert Arts and Heritage
   Foundation and Heritage Division, Ministry of Culture, Government of
   Alberta. Sincere thanks to Ann Ramsden, Executive Director of St. Albert
   Arts and Heritage Foundation for her valuable insights and sharing of
   her expertise. The authors would especially like to thank the IDEA Lab
   team for indulging our many queries and their continued support of this
   project.
CR Amazon, 2023, What is AWS
   Amazon, 2023, High Performance Block Storage
   Amazon, 2023, What is EC2
   Buckingham L., 2000, Research Report on St. Albert River Lot 24 Metis Heritage Site
   City of St. Albert Donald Luxton and Associates Inc David Murray Architects, 2023, City of St. Albert Heritage Management Plan
   Dawson P, 2018, APPL GEOMAT, V10, P361, DOI 10.1007/s12518-018-0232-4
   Day J.C., 2023, Parks Stewardship Forum, V36, P144
   Day J.C., 2023, Climate Vulnerability Index
   Government of Alberta, 2022, Alberta Historical Resources Act (2000)
   Government of Alberta, 2023, Flood Awareness Map Application
   Haris R.C., 1984, The Seigneurial System in Early Canada: A Geographical Study
   ICAO, 2023, Circular 393: Unmanned aircraft systems
   IPCC Working Group II, 2023, Top Level Findings from the Working Group II AR5 Summary for Policy Makers. Climate Change 2014: Impacts, Adaptation, and Vulnerability
   Lamb A., 2023, River lots offer view of Metis and French Canadian history
   Larmour J., 2017, A Contextual Structural and Material History of the Hogan and Cunningham Houses, St. Albert
   RONIN, 2023, Official Website of RONIN
   St. Albert Art and Heritage Foundation, 2023, River Lots 23 + 24 and Community Garden
   St. Albert Arts and Heritage Foundation, 2023, Moving Historic Buildings
   Toffanin P., 2019, OPENDRONEMAP MISSING, V1st
   Vileikis O., 2021, P ISPRS ANN PHOT REM, V8, P179, DOI [10.5194/isprs-annals-VIII-M-1-2021-179-2021, DOI 10.5194/ISPRS-ANNALS-VIII-M-1-2021-179-2021]
NR 20
TC 1
Z9 1
U1 5
U2 5
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLE 1E, GOTTINGEN, 37081, GERMANY
SN 1682-1750
EI 2194-9034
J9 INT ARCH PHOTOGRAMM
PY 2023
BP 729
EP 734
DI 10.5194/isprs-archives-XLVIII-M-2-2023-729-2023
PG 6
WC Archaeology; Humanities, Multidisciplinary; Computer Science,
   Interdisciplinary Applications
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Archaeology; Arts & Humanities - Other Topics; Computer Science
GA BW6XO
UT WOS:001185045000094
OA gold
DA 2025-01-10
ER

PT J
AU Lokotola, CL
AF Lokotola, Christian L.
TI Towards a climate-resilient primary health care service
SO SOUTH AFRICAN FAMILY PRACTICE
LA English
DT Article
DE primary health care; climate change; air pollution; family doctors;
   resilience
AB Climate change has been declared as the biggest threat to human health in the 21st century. Not all family doctors are aware of the threats and how to tackle them. There are three key aspects to consider: the health and social effects of climate change, the challenge of climate change to primary health care (PHC) facilities and services, and the contribution of health services to the problem of climate change. Climate change and global pollution are ecological drivers associated with significant health and social effects that are often seen in PHC services. These ecological drivers impact health and society via a number of proximate causes, such as air pollution and decreased food production. The health and social effects include malnutrition, infectious diseases, non-communicable diseases, displacement and migration, and mental health problems. Climate change-induced extreme weather events are associated with immediate loss of life and injuries, destruction of homes and livelihoods, and disruption of PHC facilities and services. For adapting to these challenges, the World Health Organization has developed an operational framework for a climate-resilient health system. The Global Green and Healthy Hospitals agenda provides practical guidance for mitigating the contribution of health services to climate change. This article uses these frameworks to suggest practical steps that family doctors can take in leading climate adaptation and mitigation within PHC.
C1 [Lokotola, Christian L.] Stellenbosch Univ, Fac Med & Hlth Sci, Dept Family & Emergency Med, Cape Town, South Africa.
C3 Stellenbosch University
RP Lokotola, CL (corresponding author), Stellenbosch Univ, Fac Med & Hlth Sci, Dept Family & Emergency Med, Cape Town, South Africa.
EM christianl@sun.ac.za
FU Ghent University; Stellenbosch University; Flemish Interuniversity
   Council (VLIR)
FX The study is part of the research grant and agreement between the
   Flemish Interuniversity Council (VLIR), Ghent University and
   Stellenbosch University.
CR Buse CG, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.867397
   Climate Watch, 2023, Historical GHG Emissions
   Costello A, 2009, LANCET, V373, P1693, DOI 10.1016/S0140-6736(09)60929-6
   Garland R., 2021, The Conversation
   Global Green and Healthy Hospitals, 2022, Acting together for environmental health
   Ha S, 2022, CURR ENV HLTH REP, V9, P263, DOI 10.1007/s40572-022-00345-9
   Intergovernmental Panel on Climate Change (IPCC), Synthesis of the sixth Assessment Report (AR6): Climate change 2023
   IPCC, 2022, Sixth Assessment Report-Working Group 3: Mitigation of Climate Change
   Irlam JH, 2023, AFR J PRIM HEALTH CA, V15, DOI 10.4102/phcfm.v15i1.3925
   Juta Medical Brief, 2023, Medical Brief
   Kamal A, 2023, African Shifts: The Africa Climate Mobility Report, Addressing Climate-Forced Migration & Displacement
   Lamberti-Castronuovo A, 2022, INT J DISAST RISK RE, V81, DOI 10.1016/j.ijdrr.2022.103278
   Liu Y, 2019, BMC PUBLIC HEALTH, V19, DOI 10.1186/s12889-018-6307-7
   Lokotola CL, 2023, J CLIM CHANGE HEALTH, V11, DOI 10.1016/j.joclim.2023.100229
   Lokotola CL, 2022, AFR J PRIM HEALTH CA, V14, DOI 10.4102/phcfm.v14i1.3626
   Lokotola CL, 2020, ENVIRON SCI POLLUT R, V27, P16677, DOI 10.1007/s11356-020-07938-7
   Metzke R., 2022, Here's how healthcare can reduce its carbon footprint
   Mutizira F., 2023, Health-E News
   Myers S., 2020, Planetary health: Protecting nature to protect ourselves
   Naidoo K, 2022, AFR J PRIM HEALTH CA, V14
   Phillimore J, 2022, VIOLENCE AGAINST WOM, V28, P2204, DOI 10.1177/10778012211030943
   Sheriff M, 2022, AFR J PRIM HEALTH CA, V14, DOI 10.4102/phcfm.v14i1.3670
   Thomson Denise, 2023, Healthc Manage Forum, V36, P217, DOI 10.1177/08404704231169037
   University of California San Francisco Institute (UCSF) for Global Health Sciences and Open Consultants, 2023, Improving investments in climate change and global health: Barriers to and opportunities for synergistic funding
   Western Cape Government, 2022, Climate change response strategy: Vision 2050
   WHO, 2015, Operational framework for building climate resilient health systems
   Wonca, 2021, Planetary health for primary health care
   Wyssusek K, 2022, BMJ OPEN QUAL, V11, DOI 10.1136/bmjoq-2022-001867
   Zhou GF, 2005, TRENDS PARASITOL, V21, P54, DOI 10.1016/j.pt.2004.11.002
NR 29
TC 1
Z9 1
U1 0
U2 0
PU AOSIS
PI Durbanville
PA Postnet Suite 110, Private Bag x 19, Durbanville, SOUTH AFRICA
SN 2078-6190
EI 2078-6204
J9 S AFR FAM PRACT
JI S. Afr. Fam. Pract.
PY 2023
VL 65
IS 1
AR a5749
DI 10.4102/safp.v65i1.5749
PN 4
PG 6
WC Medicine, General & Internal
WE Emerging Sources Citation Index (ESCI)
SC General & Internal Medicine
GA GS6X6
UT WOS:001154712200003
PM 37916702
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Zhao, B
   Zhang, H
   Chen, TX
   Ding, L
   Zhang, LY
   Ding, XL
   Zhang, J
   Qian, Q
   Xiang, Y
AF Zhao, Bo
   Zhang, Hui
   Chen, Tianxiao
   Ding, Ling
   Zhang, Liying
   Ding, Xiali
   Zhang, Jun
   Qian, Qian
   Xiang, Yong
TI <i>Sdr4</i> dominates pre-harvest sprouting and facilitates adaptation
   to local climatic condition in Asian cultivated rice
SO JOURNAL OF INTEGRATIVE PLANT BIOLOGY
LA English
DT Article
DE climatic adaptation; pre-harvest sprouting; Rc; rice; SD1; Sdr4; seed
   dormancy
ID ARABIDOPSIS SEED DORMANCY; ABSCISIC-ACID; MAP; PROTEIN; GIBBERELLIN;
   GERMINATION; CLONING; GENE; ABA; DOMESTICATION
AB Pre-harvest sprouting (PHS), which reduces grain yield and quality, is controlled by seed dormancy genes. Because few dormancy-related genes have been cloned, the genetic basis of seed dormancy in rice (Oryza sativa L.) remains unclear. Here, we performed a genome-wide association study and linkage mapping to dissect the genetic basis of seed dormancy in rice. Our findings suggest that Seed Dormancy4 (Sdr4), a central modulator of seed dormancy, integrates the abscisic acid and gibberellic acid signaling pathways at the transcriptional level. Haplotype analysis revealed that three Sdr4 alleles in rice cultivars already existed in ancestral Oryza rufipogon accessions. Furthermore, like the semi-dwarf 1 (SD1) and Rc loci, Sdr4 underwent selection during the domestication and improvement of Asian cultivated rice. The distribution frequency of the Sdr4-n allele in different locations in Asia is negatively associated with local annual temperature and precipitation. Finally, we developed functional molecular markers for Sdr4, SD1, and Rc for use in molecular breeding. Our results provide clues about the molecular basis of Sdr4-regulated seed dormancy. Moreover, these findings provide guidance for utilizing the favorable alleles of Sdr4 and Rc to synergistically boost PHS resistance, yield, and quality in modern rice varieties.
C1 [Zhao, Bo; Zhang, Hui; Chen, Tianxiao; Ding, Ling; Zhang, Liying; Ding, Xiali; Zhang, Jun; Qian, Qian; Xiang, Yong] Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Guangdong Lab Lingnan Modern Agr, Shenzhen Branch,Genome Anal Lab,Minist Agr, Shenzhen 518120, Peoples R China.
   [Zhang, Hui] Shanxi Agr Univ, Coll Life Sci, Shanxi Key Lab Minor Crop Germplasm Innovat & Mol, Taigu 030801, Peoples R China.
   [Qian, Qian] China Natl Rice Res Inst, State Key Lab Rice Biol, Hangzhou 310006, Peoples R China.
C3 Guangdong Laboratory for Lingnan Modern Agriculture; Ministry of
   Agriculture & Rural Affairs; Chinese Academy of Agricultural Sciences;
   Agriculture Genomes Institute at Shenzhen, CAAS; Shanxi Agricultural
   University; Chinese Academy of Agricultural Sciences; China National
   Rice Research Institute, CAAS
RP Qian, Q; Xiang, Y (corresponding author), Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Guangdong Lab Lingnan Modern Agr, Shenzhen Branch,Genome Anal Lab,Minist Agr, Shenzhen 518120, Peoples R China.; Qian, Q (corresponding author), China Natl Rice Res Inst, State Key Lab Rice Biol, Hangzhou 310006, Peoples R China.
EM qianqian188@hotmail.com; xiangyong@caas.cn
RI Chen, Tianxiao/KLZ-6828-2024; qian, qian/AAH-8708-2021; Xiang,
   Yong/F-7947-2015
OI Ding, Ling/0000-0002-9003-7506; Chen, Tianxiao/0000-0001-7682-2236;
   xiang, yong/0000-0001-5757-9023; Zhang, Hui/0000-0002-9497-1646
FU National Natural Science Foundation of China [32001612]; Science,
   Technology and Innovation Commission of Shenzhen Municipality
   [JCYJ20180306173702268, KCXFZ20201221173203009]; Key-Area Research and
   Development Program of Guangdong Province [2021B0707010006]; Dapeng New
   District Science and Technology Program [KJYF202101-09, RCTD20180102];
   Guangdong Basic and Applied Basic Research Foundation [2019A1515110966]
FX We would like to thank Prof. Jianlong Xu (Institute of Crop Sciences,
   National Key Facility for Crop Gene Resources and Genetic Improvement,
   Chinese Academy of Agricultural Sciences) for 3K germplasm sharing.
   Thanks to Prof. Xuehui Huang and Prof. Jie Qiu (Shanghai Key Laboratory
   of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal
   University) for genotype sharing of the QTN and WILD accessions. This
   work was supported by the National Natural Science Foundation of China
   (Grant Nos 32001612), the Science, Technology and Innovation Commission
   of Shenzhen Municipality (Grant Nos JCYJ20180306173702268 and
   KCXFZ20201221173203009), Key-Area Research and Development Program of
   Guangdong Province (Grant Nos 2021B0707010006), Dapeng New District
   Science and Technology Program (Grant Nos KJYF202101-09 and
   RCTD20180102) and Guangdong Basic and Applied Basic Research Foundation
   (Grant No. 2019A1515110966).
CR [Anonymous], 2006, The Encyclopedia of Seeds: Science, Technology and Uses
   Araújo WL, 2011, TRENDS PLANT SCI, V16, P489, DOI 10.1016/j.tplants.2011.05.008
   Arc E, 2012, J PROTEOME RES, V11, P5418, DOI 10.1021/pr3006815
   Asano K, 2007, BREEDING SCI, V57, P53, DOI 10.1270/jsbbs.57.53
   Basbouss-Serhal I, 2016, J EXP BOT, V67, P119, DOI 10.1093/jxb/erv439
   Bentsink L, 2006, P NATL ACAD SCI USA, V103, P17042, DOI 10.1073/pnas.0607877103
   Bryant FM, 2019, PLANT CELL, V31, P1276, DOI 10.1105/tpc.18.00892
   Cao H, 2020, J EXP BOT, V71, P919, DOI 10.1093/jxb/erz471
   Carrillo-Barral N, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9040480
   Cas R., 2012, Volcanic successions modern and ancient: A geological approach to processes, products and successions, DOI [DOI 10.1007/978-94-009-3167-1, 10.1007/978-94-009-3167-1]
   Chen KG, 2006, J INTEGR PLANT BIOL, V48, P591, DOI 10.1111/j.1744-7909.2006.00270.x
   Chen PW, 2006, PLANT CELL, V18, P2326, DOI 10.1105/tpc.105.038844
   Chen WQ, 2021, CROP J, V9, P68, DOI 10.1016/j.cj.2020.06.005
   Coop G, 2010, GENETICS, V185, P1411, DOI 10.1534/genetics.110.114819
   Dantas BF, 2020, OECOLOGIA, V192, P529, DOI 10.1007/s00442-019-04575-x
   Ding LN, 2019, PLANT CELL REP, V38, P243, DOI 10.1007/s00299-018-2365-7
   Du L, 2018, PLANT J, V95, P545, DOI 10.1111/tpj.13970
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Finkelstein R, 2008, ANNU REV PLANT BIOL, V59, P387, DOI 10.1146/annurev.arplant.59.032607.092740
   Galili G, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00447
   Gu XY, 2011, GENETICS, V189, P1515, DOI 10.1534/genetics.111.131169
   Gubler F, 2005, CURR OPIN PLANT BIOL, V8, P183, DOI 10.1016/j.pbi.2005.01.011
   Gutaker RM, 2020, NAT PLANTS, V6, P492, DOI 10.1038/s41477-020-0659-6
   Hong YF, 2012, PLANT CELL, V24, P2857, DOI 10.1105/tpc.112.097741
   Hu WeiMin Hu WeiMin, 2003, Acta Agronomica Sinica, V29, P441
   Huang LP, 2018, BIOCHEM BIOPH RES CO, V495, P339, DOI 10.1016/j.bbrc.2017.10.128
   Huang XH, 2012, NATURE, V490, P497, DOI 10.1038/nature11532
   Itoh J, 2005, PLANT CELL PHYSIOL, V46, P23, DOI 10.1093/pcp/pci501
   Jin L., 2021, BIO-PROTOCOL, DOI DOI 10.21769/BIOPROTOC.1010615
   Kobayashi A., 2016, Breeding Research, V18, P1, DOI 10.1270/jsbbr.18.1
   Li XY, 2019, PLANT CELL, V31, P832, DOI 10.1105/tpc.18.00449
   Lin SY, 1998, THEOR APPL GENET, V96, P997, DOI 10.1007/s001220050831
   Liu F, 2020, PLANT CELL, V32, P1933, DOI 10.1105/tpc.20.00026
   Lu Q, 2018, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.02213
   Ma XL, 2015, MOL PLANT, V8, P1274, DOI 10.1016/j.molp.2015.04.007
   Magwa RA, 2016, BMC GENET, V17, DOI 10.1186/s12863-016-0340-2
   Meyer RS, 2013, NAT REV GENET, V14, P840, DOI 10.1038/nrg3605
   Miura K, 2002, THEOR APPL GENET, V104, P981, DOI 10.1007/s00122-002-0872-x
   Nakamura S, 2016, CURR BIOL, V26, P775, DOI 10.1016/j.cub.2016.01.024
   Rios-Iribe EY, 2011, WORLD J MICROB BIOT, V27, P1499, DOI 10.1007/s11274-010-0603-4
   Sato K, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11625
   Sohn SI, 2021, INT J MOL SCI, V22, DOI 10.3390/ijms222111804
   Song S., 2021, BIORXIV, DOI 10.1101/2021.1105.1103.442418
   Song S, 2020, PLANT J, V103, P532, DOI 10.1111/tpj.14748
   Sugimoto K, 2010, P NATL ACAD SCI USA, V107, P5792, DOI 10.1073/pnas.0911965107
   Torada A, 2016, CURR BIOL, V26, P782, DOI 10.1016/j.cub.2016.01.063
   Tsuji H, 2006, PLANT J, V47, P427, DOI 10.1111/j.1365-313X.2006.02795.x
   Wang J, 2020, J AGR FOOD CHEM, V68, P14748, DOI 10.1021/acs.jafc.0c04748
   Wang WS, 2018, NATURE, V557, P43, DOI 10.1038/s41586-018-0063-9
   Wang X, 2015, PLANT SCI, V239, P200, DOI 10.1016/j.plantsci.2015.07.016
   Wei X, 2021, NAT GENET, V53, P243, DOI 10.1038/s41588-020-00769-9
   Wu M, 2021, PLANT BREEDING, V140, P53, DOI 10.1111/pbr.12848
   Xiang Y, 2016, PLANT PHYSIOL, V171, P2659, DOI 10.1104/pp.16.00525
   Xiang Y, 2014, PLANT CELL, V26, P4362, DOI 10.1105/tpc.114.132811
   Xu F, 2019, PLANT J, V100, P1036, DOI 10.1111/tpj.14501
   Ye H, 2015, PLANT PHYSIOL, V169, P2152, DOI 10.1104/pp.15.01202
   Zhao HY, 2015, NUCLEIC ACIDS RES, V43, DOI 10.1093/nar/gkv1018
   Zhou Q, 2015, MOL PLANT, V8, P961, DOI 10.1016/j.molp.2015.03.008
   Zhu YW, 2019, PLANT BIOTECHNOL J, V17, P2096, DOI 10.1111/pbi.13125
NR 59
TC 18
Z9 21
U1 15
U2 81
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1672-9072
EI 1744-7909
J9 J INTEGR PLANT BIOL
JI J. Integr. Plant Biol.
PD JUN
PY 2022
VL 64
IS 6
BP 1246
EP 1263
DI 10.1111/jipb.13266
EA MAY 2022
PG 18
WC Biochemistry & Molecular Biology; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Plant Sciences
GA 2C0RX
UT WOS:000802922200001
PM 35442537
OA hybrid
DA 2025-01-10
ER

PT J
AU Alexander, P
   Prestele, R
   Verburg, PH
   Arneth, A
   Baranzelli, C
   Silva, FBE
   Brown, C
   Butler, A
   Calvin, K
   Dendoncker, N
   Doelman, JC
   Dunford, R
   Engström, K
   Eitelberg, D
   Fujimori, S
   Harrison, PA
   Hasegawa, T
   Havlik, P
   Holzhauer, S
   Humpenöder, F
   Jacobs-Crisioni, C
   Jain, AK
   Krisztin, T
   Kyle, P
   Lavalle, C
   Lenton, T
   Liu, JY
   Meiyappan, P
   Popp, A
   Powell, T
   Sands, RD
   Schaldach, R
   Stehfest, E
   Steinbuks, J
   Tabeau, A
   van Meijl, H
   Wise, MA
   Rounsevell, MDA
AF Alexander, Peter
   Prestele, Reinhard
   Verburg, Peter H.
   Arneth, Almut
   Baranzelli, Claudia
   Batista e Silva, Filipe
   Brown, Calum
   Butler, Adam
   Calvin, Katherine
   Dendoncker, Nicolas
   Doelman, Jonathan C.
   Dunford, Robert
   Engstrom, Kerstin
   Eitelberg, David
   Fujimori, Shinichiro
   Harrison, Paula A.
   Hasegawa, Tomoko
   Havlik, Petr
   Holzhauer, Sascha
   Humpenoeder, Florian
   Jacobs-Crisioni, Chris
   Jain, Atul K.
   Krisztin, Tamas
   Kyle, Page
   Lavalle, Carlo
   Lenton, Tim
   Liu, Jiayi
   Meiyappan, Prasanth
   Popp, Alexander
   Powell, Tom
   Sands, Ronald D.
   Schaldach, Ruediger
   Stehfest, Elke
   Steinbuks, Jevgenijs
   Tabeau, Andrzej
   van Meijl, Hans
   Wise, Marshall A.
   Rounsevell, Mark D. A.
TI Assessing uncertainties in land cover projections
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE cropland; land cover; land use; model inter-comparison; uncertainty
ID CLIMATE-CHANGE; MODELS; AGRICULTURE; MITIGATION; EMISSIONS
AB Understanding uncertainties in land cover projections is critical to investigating land-based climate mitigation policies, assessing the potential of climate adaptation strategies and quantifying the impacts of land cover change on the climate system. Here, we identify and quantify uncertainties in global and European land cover projections over a diverse range of model types and scenarios, extending the analysis beyond the agro-economic models included in previous comparisons. The results from 75 simulations over 18 models are analysed and show a large range in land cover area projections, with the highest variability occurring in future cropland areas. We demonstrate systematic differences in land cover areas associated with the characteristics of the modelling approach, which is at least as great as the differences attributed to the scenario variations. The results lead us to conclude that a higher degree of uncertainty exists in land use projections than currently included in climate or earth system projections. To account for land use uncertainty, it is recommended to use a diverse set of models and approaches when assessing the potential impacts of land cover change on future climate. Additionally, further work is needed to better understand the assumptions driving land use model results and reveal the causes of uncertainty in more depth, to help reduce model uncertainty and improve the projections of land cover.
C1 [Alexander, Peter; Brown, Calum; Holzhauer, Sascha; Rounsevell, Mark D. A.] Univ Edinburgh, Sch GeoSci, Drummond St, Edinburgh EH8 9XP, Midlothian, Scotland.
   [Alexander, Peter] SRUC, Land Econ & Environm Res Grp, West Mains Rd, Edinburgh EH9 3JG, Midlothian, Scotland.
   [Prestele, Reinhard; Verburg, Peter H.; Eitelberg, David] Vrije Univ Amsterdam, Dept Earth Sci, Environm Geog Grp, De Boelelaan 1087, NL-1081 HV Amsterdam, Netherlands.
   [Arneth, Almut] Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Atmospher Environm Res IMK IFU, Kreuzeckbahnstr 19, D-82467 Garmisch Partenkirchen, Germany.
   [Baranzelli, Claudia; Batista e Silva, Filipe; Jacobs-Crisioni, Chris; Lavalle, Carlo] European Commiss, Directorate Innovat & Growth B, Terr Dev Unit, Via Fermi 2749, I-21027 Varese, Italy.
   [Butler, Adam; Liu, Jiayi] JCMB, Biomath & Stat Scotland, Kings Bldg, Edinburgh EH9 3JZ, Midlothian, Scotland.
   [Calvin, Katherine; Kyle, Page; Wise, Marshall A.] Pacific Northwest Natl Lab, Joint Global Change Res Inst, College Pk, MD 20740 USA.
   [Dendoncker, Nicolas] Univ Namur, Dept Geog, Namur Res Grp Sustainable Dev, Rue Bruxelles 61, B-5000 Namur, Belgium.
   [Doelman, Jonathan C.; Stehfest, Elke] Netherlands Environm Assessment Agcy PBL, POB 303, NL-3720 AH Bilthoven, Netherlands.
   [Dunford, Robert] Univ Oxford, Environm Change Inst, South Parks Rd, Oxford OX1 3QY, England.
   [Dunford, Robert; Harrison, Paula A.] Lancaster Environm Ctr, Ctr Ecol & Hydrol, Lib Ave, Lancaster LA1 4AP, England.
   [Engstrom, Kerstin] Lund Univ, Dept Geog & Ecosyst Sci, Paradisgatan 2, Lund, Sweden.
   [Fujimori, Shinichiro; Hasegawa, Tomoko] Natl Inst Environm Studies, Ctr Social & Environm Syst Res, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan.
   [Havlik, Petr; Krisztin, Tamas] Int Inst Appl Syst Anal, Ecosyst Serv & Management Program, A-2361 Laxenburg, Austria.
   [Humpenoeder, Florian; Popp, Alexander] Potsdam Inst Climate Impact Res PIK, POB 60 12 03, D-14412 Potsdam, Germany.
   [Jain, Atul K.; Meiyappan, Prasanth] Univ Illinois, Dept Atmospher Sci, Urbana, IL 61801 USA.
   [Lenton, Tim; Powell, Tom] Univ Exeter, Coll Life & Environm Sci, Earth Syst Sci, Laver Bldg Level 7,North Pk Rd, Exeter EX4 4QE, Devon, England.
   [Sands, Ronald D.] Econ Res Serv, Resource & Rural Econ Div, USDA, Washington, DC 20250 USA.
   [Schaldach, Ruediger] Univ Kassel, Ctr Environm Syst Res, Wilhelmshoher Allee 47, D-34109 Kassel, Germany.
   [Steinbuks, Jevgenijs] World Bank, Dev Res Grp, 1818 H St NW, Washington, DC 20433 USA.
   [Tabeau, Andrzej; van Meijl, Hans] Univ Wageningen & Res Ctr, LEI, POB 29703, NL-2502 LS The Hague, Netherlands.
C3 University of Edinburgh; Vrije Universiteit Amsterdam; Helmholtz
   Association; Karlsruhe Institute of Technology; European Commission
   Joint Research Centre; EC JRC ISPRA Site; University of Edinburgh; James
   Hutton Institute; United States Department of Energy (DOE); Pacific
   Northwest National Laboratory; University of Namur; University of
   Oxford; UK Centre for Ecology & Hydrology (UKCEH); Lancaster University;
   Lund University; National Institute for Environmental Studies - Japan;
   International Institute for Applied Systems Analysis (IIASA); Potsdam
   Institut fur Klimafolgenforschung; University of Illinois System;
   University of Illinois Urbana-Champaign; University of Exeter; United
   States Department of Agriculture (USDA); Universitat Kassel; The World
   Bank; Wageningen University & Research
RP Alexander, P (corresponding author), Univ Edinburgh, Sch GeoSci, Drummond St, Edinburgh EH8 9XP, Midlothian, Scotland.; Alexander, P (corresponding author), SRUC, Land Econ & Environm Res Grp, West Mains Rd, Edinburgh EH9 3JG, Midlothian, Scotland.
EM peter.alexander@ed.ac.uk
RI Stehfest, Elke/AAZ-4121-2020; Popp, Alexander/N-7064-2014; Butler,
   Adam/A-8002-2010; Baranzelli, Claudia/IQV-0903-2023; Meiyappan,
   Prasanth/F-5422-2012; Tabeau, Andrzej/AAE-8214-2019; Arneth,
   Almut/B-2702-2013; Kyle, Page/AFP-3602-2022; Krisztin,
   Tamás/ABE-1438-2020; Rounsevell, Mark/AAC-4498-2021; Hasegawa,
   Tomoko/AAB-2616-2019; Fujimori, Shinichiro/A-1288-2015; Brown,
   Calum/ABH-4673-2020; Prestele, Reinhard/U-5366-2019; Calvin,
   Katherine/ADF-2443-2022; Verburg, Peter/Z-1582-2019; Lenton,
   Tim/X-1893-2018; Fujimori, Shinichiro/J-5912-2014; Harrison,
   Paula/K-1519-2016; van Meijl, Hans/G-6223-2015; Brown,
   Calum/D-4341-2017; LIU, JIAYI/I-7242-2013; Humpenoder,
   Florian/HHN-1081-2022; Verburg, Peter/A-8469-2010; Jain,
   Atul/D-2851-2016
OI Krisztin, Tamas/0000-0002-9241-8628; Arneth, Almut/0000-0001-6616-0822;
   Havlik, Petr/0000-0001-5551-5085; Prestele,
   Reinhard/0000-0003-4179-6204; Fujimori, Shinichiro/0000-0001-7897-1796;
   Harrison, Paula/0000-0002-9873-3338; Sands, Ronald/0000-0002-2864-0339;
   Kyle, Page/0000-0002-1257-8358; Dendoncker, Nicolas/0000-0001-9129-9025;
   Popp, Alexander/0000-0001-9500-1986; Batista e Silva,
   Filipe/0000-0002-8752-6464; Alexander, Peter/0000-0001-6010-1186;
   Dunford, Robert/0000-0002-6559-1687; Rounsevell,
   Mark/0000-0001-7476-9398; van Meijl, Hans/0000-0002-2455-6869;
   Baranzelli, Claudia/0000-0002-6032-7051; Brown,
   Calum/0000-0001-9331-1008; LIU, JIAYI/0000-0002-9194-5338; Humpenoder,
   Florian/0000-0003-2927-9407; Meiyappan, Prasanth/0000-0002-8014-0999;
   Doelman, Jonathan/0000-0002-6842-573X; Verburg,
   Peter/0000-0002-6977-7104; Stenbuks, Jevgenijs/0000-0003-3548-2196;
   Jain, Atul/0000-0002-4051-3228
FU European Research Council under the European Union [603542, 603719,
   633692]; Grants-in-Aid for Scientific Research [15K16164] Funding
   Source: KAKEN; NERC [ceh020005] Funding Source: UKRI
FX The research in this article has been supported by the European Research
   Council under the European Union's Seventh Framework Programme projects
   LUC4C (Grant No. 603542) and SIGMA (Grant No. 603719) and under the
   European Union's Horizon 2020 Programme project SUSFANS (Grant No.
   633692). None of the results reported in this article are the official
   positions of the organisations named here.
CR Akaike H, 1998, Sel. Pap. Hirotugu Akaike, P199, DOI [10.1007/978-1-4612-1694-015, DOI 10.1007/978-1-4612-1694-015]
   Alexander P, 2015, GLOBAL ENVIRON CHANG, V35, P138, DOI 10.1016/j.gloenvcha.2015.08.011
   [Anonymous], 2014, REFERENCE SCENARIO L
   [Anonymous], AIM CGE BASIC MANUAL
   [Anonymous], CLIMATIC CHANGE
   [Anonymous], 2015, CLOSING LOOPS REBALA
   [Anonymous], SSP DAT VERS 0 93
   [Anonymous], 2014, GLOBAL DRIVERS AGR D
   [Anonymous], 2000, Special Report on Emissions Scenarios - A Special Report of Working Group III of the Intergovernmental Panel on Climate Change (IPCC)
   [Anonymous], 2007, Climate Change 2007: The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change
   [Anonymous], 2015, USE MISUSE MODELS CL
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Brovkin V, 2013, J CLIMATE, V26, P6859, DOI 10.1175/JCLI-D-12-00623.1
   Burnham KP, 2004, SOCIOL METHOD RES, V33, P261, DOI 10.1177/0049124104268644
   Busch G, 2006, AGR ECOSYST ENVIRON, V114, P121, DOI 10.1016/j.agee.2005.11.007
   Butler MP, 2014, ENVIRON MODELL SOFTW, V59, P10, DOI 10.1016/j.envsoft.2014.05.001
   Calvin K, 2013, CLIMATIC CHANGE, V117, P545, DOI 10.1007/s10584-012-0650-y
   Chen L, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/034002
   Dendoncker N, 2006, J LAND USE SCI, V1, P63, DOI 10.1080/17474230601058302
   Engström K, 2016, ENVIRON MODELL SOFTW, V75, P212, DOI 10.1016/j.envsoft.2015.10.015
   FAOSTAT, 2015, RES LAND 2015 12 16
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Goldewijk KK, 2001, GLOBAL BIOGEOCHEM CY, V15, P417, DOI 10.1029/1999GB001232
   Harrison PA, 2015, CLIMATIC CHANGE, V128, P279, DOI 10.1007/s10584-014-1239-4
   Havlík P, 2014, P NATL ACAD SCI USA, V111, P3709, DOI 10.1073/pnas.1308044111
   Houghton RA, 2012, BIOGEOSCIENCES, V9, P5125, DOI 10.5194/bg-9-5125-2012
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Hurtt GC, 2011, CLIMATIC CHANGE, V109, P117, DOI 10.1007/s10584-011-0153-2
   Kastner T, 2012, P NATL ACAD SCI USA, V109, P6868, DOI 10.1073/pnas.1117054109
   Langsrud Y, 2003, STAT COMPUT, V13, P163, DOI 10.1023/A:1023260610025
   Le Quéré C, 2015, EARTH SYST SCI DATA, V7, P47, DOI 10.5194/essd-7-47-2015
   Levis S, 2010, WIRES CLIM CHANGE, V1, P840, DOI 10.1002/wcc.83
   Mahmood R, 2014, INT J CLIMATOL, V34, P929, DOI 10.1002/joc.3736
   Meiyappan P, 2014, ECOL MODEL, V291, P152, DOI 10.1016/j.ecolmodel.2014.07.027
   Murray-Rust D, 2014, ENVIRON MODELL SOFTW, V59, P187, DOI 10.1016/j.envsoft.2014.05.019
   National Research Council, 2014, ADV LAND CHANG MOD O, DOI [DOI 10.17226/18385.HTTPS://NAP.NATIONALACADEMIES.ORG/READ/18385/CHAPTER/1#II, 10.17226/18385.https://nap.nationalacademies.org/read/18385/chapter/1#ii]
   Nelson GC, 2014, P NATL ACAD SCI USA, V111, P3274, DOI 10.1073/pnas.1222465110
   Nishina K, 2014, EARTH SYST DYNAM, V5, P197, DOI 10.5194/esd-5-197-2014
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Pontius RG, 2008, ANN REGIONAL SCI, V42, P11, DOI 10.1007/s00168-007-0138-2
   Popp A, 2014, NAT CLIM CHANGE, V4, P1095, DOI 10.1038/NCLIMATE2444
   Prestele R, 2016, GLOBAL CHANGE BIOL, V22, P3967, DOI 10.1111/gcb.13337
   Ramankutty N, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002952
   Robinson S, 2014, AGR ECON-BLACKWELL, V45, P21, DOI 10.1111/agec.12087
   Rose SK, 2012, ENERG ECON, V34, P365, DOI 10.1016/j.eneco.2011.06.004
   Rounsevell MDA, 2014, EARTH SYST DYNAM, V5, P117, DOI 10.5194/esd-5-117-2014
   Saltelli A, 2010, GLOBAL ENVIRON CHANG, V20, P298, DOI 10.1016/j.gloenvcha.2009.12.003
   Schaldach R, 2011, ENVIRON MODELL SOFTW, V26, P1041, DOI 10.1016/j.envsoft.2011.02.013
   Schmitz C, 2014, AGR ECON-BLACKWELL, V45, P69, DOI 10.1111/agec.12090
   Smith P, 2016, GLOBAL CHANGE BIOL, V22, P1008, DOI 10.1111/gcb.13068
   Smith P, 2013, GLOBAL CHANGE BIOL, V19, P2285, DOI 10.1111/gcb.12160
   Stehfest E., 2014, Integrated Assessment of Global Environmental Change with Image 3.0. Model Description and Policy Applications
   Steinbuks J, 2016, ENVIRON RESOUR ECON, V63, P545, DOI 10.1007/s10640-014-9848-y
   Sterling SM, 2013, NAT CLIM CHANGE, V3, P385, DOI [10.1038/NCLIMATE1690, 10.1038/nclimate1690]
   Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108
   Van Asselen S, 2013, GLOBAL CHANGE BIOL, V19, P3648, DOI 10.1111/gcb.12331
   van Meijl H, 2006, AGR ECOSYST ENVIRON, V114, P21, DOI 10.1016/j.agee.2005.11.006
   van Vuuren DP, 2014, CLIMATIC CHANGE, V122, P415, DOI 10.1007/s10584-013-0974-2
   Verburg PH, 2011, GLOBAL CHANGE BIOL, V17, P974, DOI 10.1111/j.1365-2486.2010.02307.x
   Verburg PH, 2009, LANDSCAPE ECOL, V24, P1167, DOI 10.1007/s10980-009-9355-7
   von Lampe M, 2014, AGR ECON-BLACKWELL, V45, P3, DOI 10.1111/agec.12086
   Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010
   WHO, 2012, WORLD MALARIA REPORT 2012, P1
   Yip S, 2011, J CLIMATE, V24, P4634, DOI 10.1175/2011JCLI4085.1
NR 65
TC 114
Z9 120
U1 2
U2 110
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 FEB
PY 2017
VL 23
IS 2
BP 767
EP 781
DI 10.1111/gcb.13447
PG 15
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 EL0WU
UT WOS:000394343300027
PM 27474896
OA Green Accepted, Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU Martins, TAL
   Adolphe, L
   Bastos, LEG
AF Martins, Tathiane A. L.
   Adolphe, Luc
   Bastos, Leopoldo E. G.
TI From solar constraints to urban design opportunities: Optimization of
   built form typologies in a Brazilian tropical city
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Urban morphology; Solar potential; DOE analysis; Constrained
   optimization; Genetic algorithms; Tropical climate
ID MULTIOBJECTIVE OPTIMIZATION; EVOLUTIONARY ALGORITHMS; PERFORMANCE;
   BUILDINGS
AB Faced with current energy constraints of fast-growing cities in developing countries, urban morphology has been pointed out as a pivotal issue on shifting to climate adapted urban environments. In this context, this paper addresses the twofold sustainable energy challenge of tropical cities: the major potential in harnessing solar energy as renewable resource for local electricity production and the energy demand due to the undesirable solar heat gains in buildings. The methodological approach chosen consists of identifying, assessing and adapting existing urban typologies to these conflicting strategies. Through a case study for the Brazilian city of Maceio, five urban typical configurations are identified using a set of energy-related morphological parameters. They are assessed regarding their envelope solar potential for energy production, daylight availability and potential solar gains. The parameters are then examined through a Design of Experiments for sensitivity analysis followed by a multi-objective optimization of the most relevant design factors, aiming at maximizing solar potential for energy production and minimizing potential solar gains, while keeping appropriate indoor daylight levels. Building regulation and daylight thresholds are considered as design constraints. Results indicate significant improvements while the spreading of solutions on the design space revealed a large number of potentialities. (C) 2014 Elsevier B.V. All rights reserved.
C1 [Martins, Tathiane A. L.; Bastos, Leopoldo E. G.] Univ Fed Rio de Janeiro, Ilha Fundao, BR-21941590 Rio De Janeiro, RJ, Brazil.
   [Adolphe, Luc] Inst Natl Sci Appliquees Toulouse, F-31077 Toulouse 4, France.
C3 Universidade Federal do Rio de Janeiro
RP Martins, TAL (corresponding author), Univ Fed Rio de Janeiro, Ilha Fundao, Av Pedro Calmon 550-Sl 433, BR-21941590 Rio De Janeiro, RJ, Brazil.
EM tathianemartins@ufrj.br; luc.adolphe@insa-toulouse.fr;
   leopoldo.bastos@proarq.ufrj.br
RI Martins, Tathiane/AAM-9854-2020; Bastos, Leopoldo/AAB-1104-2021
OI BASTOS, LEOPOLDO/0000-0003-3217-7129; Martins,
   Tathiane/0000-0002-9827-2316
FU CAPES; CNPq; Institut National des Sciences Appliquees de Toulouse;
   ESSS; ESTECO
FX We acknowledge the Brazilian national research agencies CAPES, CNPq and
   the Institut National des Sciences Appliquees de Toulouse for the
   financial support. The authors would also like to acknowledge the
   companies ESSS and ESTECO for the support and for providing the
   modeFRONTIER (R) license used in this research.
CR Alencar B.J., 2009, THESIS PONTIFICIA U
   [Anonymous], 2002, Evolutionary algortihms for solving multi-objective problems, DOI DOI 10.1007/978-0-387-36797-2
   [Anonymous], 93005 U ILL ILL GEN
   [Anonymous], 1982, ELEMENTS ANAL DONNEE
   [Anonymous], 1985, Multiple Objective Optimization with Vector Evaluated Genetic Algorithms, DOI DOI 10.4324/9781315799674-9
   [Anonymous], 2019, Design and analysis of experiments
   [Anonymous], SAGACITES VERS SYSTE
   [Anonymous], 2009, WORLD POP DAT SHEET
   [Anonymous], 2001, WIL INT S SYS OPT
   Batty M, 2008, SCIENCE, V319, P769, DOI 10.1126/science.1151419
   Bouyer J, 2011, ENERG BUILDINGS, V43, P1549, DOI 10.1016/j.enbuild.2011.02.010
   Breheny M., 1992, SUSTAINABLE DEV URBA
   Compagnon R, 2004, ENERG BUILDINGS, V36, P321, DOI 10.1016/j.enbuild.2004.01.009
   Compagnon R, 2000, P 17 INT C PASS LOW
   Compagnon R., 2000, PRECIS ASSESSING POT
   Cruz J.M., 2001, THESIS U FEDERAL ALA
   Das I, 1998, SIAM J OPTIMIZ, V8, P631, DOI 10.1137/S1052623496307510
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Droege P., 2007, The Renewable city: A comprehensive guide to urban revolution
   ESTECO, 2013, MODEFRONTIER MULT OP
   FONSECA CM, 1993, PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON GENETIC ALGORITHMS, P416
   Frey HildebrandW. ., 1999, DESIGNING CITY MORE
   Griego D, 2012, ENERG BUILDINGS, V54, P540, DOI 10.1016/j.enbuild.2012.02.019
   Hofierka J, 2009, RENEW ENERG, V34, P2206, DOI 10.1016/j.renene.2009.02.021
   IBGE, 2010, CENS DEM 2010 CAR PO
   Kämpf JH, 2010, SOL ENERGY, V84, P596, DOI 10.1016/j.solener.2009.07.013
   Kleijnen JPC, 2005, EUR J OPER RES, V164, P287, DOI 10.1016/j.ejor.2004.02.005
   Lippsmeir G., 1969, BUILDING TROPICS
   Magnier L, 2010, BUILD ENVIRON, V45, P739, DOI 10.1016/j.buildenv.2009.08.016
   Marler RT, 2010, STRUCT MULTIDISCIP O, V41, P853, DOI 10.1007/s00158-009-0460-7
   Martins T.A.L., 2013, ANALISE IMPACTO MORF
   METEOTEST, 2011, MET VERS 6 1
   Ministerio de Minas e Energia/ProcelEdifica (MME/PROCEL), BAL EN NAC AN BAS 20
   Montavon M., 2010, THESIS ECOLE POLYTEC
   Owens S.E., 1986, ENERGY PLANNING URBA
   Ratti C, 2003, ENERG BUILDINGS, V35, P49, DOI 10.1016/S0378-7788(02)00079-8
   Robinson D., 2005, Building Services Engineering Research & Technology, V26, P271, DOI 10.1191/0143624405bt133oa
   Robinson D., 2011, Computer Modeling for Sustainable Urban Design: Physical Principles, Methods and Applications
   Scarazzato P.S., 1995, THESIS FAU USP
   Schäffler S, 2002, J OPTIMIZ THEORY APP, V114, P209, DOI 10.1023/A:1015472306888
   Srinivas N., 1994, Evolutionary Computation, V2, P221, DOI 10.1162/evco.1994.2.3.221
   Tan KC, 2002, ARTIF INTELL REV, V17, P253, DOI 10.1023/A:1015516501242
   Williams KatieElizabeth Burton Mike Jenks., 2000, Achieving Sustainable Urban Form
   Wright JA, 2002, ENERG BUILDINGS, V34, P959, DOI 10.1016/S0378-7788(02)00071-3
   Zitzler E, 2000, EVOL COMPUT, V8, P173, DOI 10.1162/106365600568202
NR 45
TC 83
Z9 94
U1 3
U2 59
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD JUN
PY 2014
VL 76
BP 43
EP 56
DI 10.1016/j.enbuild.2014.02.056
PG 14
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA AI3RG
UT WOS:000336779000004
DA 2025-01-10
ER

PT J
AU Engelman, A
   Craig, L
   Iles, A
AF Engelman, Alina
   Craig, Leyla
   Iles, Alastair
TI Global Disability Justice In Climate Disasters: Mobilizing People With
   Disabilities As Change Agents
SO HEALTH AFFAIRS
LA English
DT Article
ID RIGHTS
AB Disabled people are highly susceptible to climate change impacts and disasters, yet they often remain sidelined or largely invisible. Policy makers, humanitarian agencies, and governments need to address the climate-related vulnerabilities that disabled people encounter during acute events and in the course of more creeping forms of climate change. As deaf researchers, we call for integrating disability justice into climate and disaster preparedness policies and practices worldwide. A disability justice approach can embrace the strengths that disabled people bring to disaster planning and climate mitigation and advocacy efforts. In this article we present case studies from different global regions to illustrate how disability is overlooked in responding to climate-related health impacts and disaster planning. We also draw particular attention to mutual aid networks led by disabled people in adapting to climate-related health impacts. We then suggest questions to help policy makers and practitioners integrate disability justice into their work. Above all, disabled people, organizations, and service providers should take ownership over the process of developing policies and actions to better prevent, prepare for, and respond to climate disasters.
C1 [Engelman, Alina] Calif State Univ, Hayward, CA 94542 USA.
   [Craig, Leyla] Univ Sydney, Sydney, Australia.
   [Iles, Alastair] Univ Calif Berkeley, Berkeley, CA USA.
C3 University of Sydney; University of California System; University of
   California Berkeley
RP Engelman, A (corresponding author), Calif State Univ, Hayward, CA 94542 USA.
EM alina.engelman@csueastbay.edu
OI Craig, Leyla/0000-0002-2871-2734
CR A2D Project, CEB DI DRR NETW COND
   Anderson B, 2020, THESE TIMES 0401
   Andrews EE, 2021, AM PSYCHOL, V76, P451, DOI 10.1037/amp0000709
   [Anonymous], 2015, WHO Global Disability Action Plan 2014-2021: Better Health for All People with Disability
   [Anonymous], HUM INCL KEN
   Braveman P., 2017, WHAT IS HLTH EQUITY
   Calgaro E, 2021, CONVERSATION 0428
   Costley D., 2020, FUTURE HUMAN 0827
   Engelman A, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19042156
   Engelman Alina, 2017, Am J Disaster Med, V12, P43, DOI 10.5055/ajdm.2017.0257
   Gartrell A, 2020, GLOBAL ENVIRON CHANG, V64, DOI 10.1016/j.gloenvcha.2020.102134
   Gaskin CJ, 2017, WEATHER CLIM SOC, V9, P801, DOI 10.1175/WCAS-D-16-0126.1
   Ghenis A., 2018, Interdisciplinary Perspectives on Equality and Diversity, V4, P1
   Gillespie E, 2022, GUARDIAN 0410
   Groce N, 2011, J WATER HEALTH, V9, P617, DOI 10.2166/wh.2011.198
   Groce NE, 2018, LANCET GLOB HEALTH, V6, pE724, DOI 10.1016/S2214-109X(18)30265-1
   Harrington S., 2019, SCI AM          0918
   Huang SX, 2023, DISABIL SOC, V38, P1826, DOI 10.1080/09687599.2022.2045188
   Human Rights Watch, 2021, CAN DIS IMP EXTR HEA
   Humanitarian Disability Charter, 2022, CHART INCL PERS DIS
   Invalid S, 2017, REPROD HEALTH MATTER, V25, P149, DOI 10.1080/09688080.2017.1335999
   Jampel C, 2018, ENVIRON SOCIOL, V4, P122, DOI 10.1080/23251042.2018.1424497
   Jodoin S, 2020, ECOL LAW QUART, V47, P73, DOI 10.15779/Z38W37KW48
   King MM, 2022, SOCIOL COMPASS, V16, DOI 10.1111/soc4.12954
   Lebanese Association for SelfAdvocacy, US
   Moore M, 2009, J HOMEL SECUR EMERG, V6
   Ortiz N., 2012, DISABILITY ACTI 1025
   Palmer T, 2019, CASE STUDIES COLLECT
   Pertiwi P, 2019, DISABIL SOC, V34, P1419, DOI 10.1080/09687599.2019.1584092
   PiepznaSamarasinha Leah Lakshmi, 2022, Disability Justice: An Audit Tool
   Pledl C., 2021, VT J ENV L, V23, P1
   Pring, 2021, DISABILITY NEWS 1104
   Richards S, 2022, ABC NEWS 0314
   Royal Commission into Violence Abuse Neglect and Exploitation of People with Disability., 2021, OV RESP EM PLANN RES
   Rush C, 2022, US TODAY 0802
   Stein PJS, 2022, HUM RIGHTS QUART, V44, P81
   Stein PJS, 2022, LANCET GLOB HEALTH, V10, pE24, DOI 10.1016/S2214-109X(21)00542-8
   United Nations High Commissioner for Refugees, GLOB COMP REF PLANN
   United Nations Human Rights Office of the High Commissioner, 2006, CONV RIGHTS PERS DIS
   Vasquez K., 2021, ENV HLTH NEWS 1111
   Villeneuve M., 2019, Disability inclusive disaster risk reduction (DIDRR): Framework and toolkit
   World Institute on Disability, 2022, GLOB ALL DIS RES ACC
NR 42
TC 15
Z9 17
U1 6
U2 22
PU PROJECT HOPE
PI BETHESDA
PA 7500 OLD GEORGETOWN RD, STE 600, BETHESDA, MD 20814-6133 USA
SN 0278-2715
J9 HEALTH AFFAIR
JI Health Aff.
PD OCT
PY 2022
VL 41
IS 10
BP 1496
EP 1504
DI 10.1377/hlthaff.2022.0047
PG 9
WC Health Care Sciences & Services; Health Policy & Services
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Health Care Sciences & Services
GA 5H1ML
UT WOS:000867449800017
PM 36190897
DA 2025-01-10
ER

PT J
AU Druckenmiller, H
   Liao, YJ
   Pesek, S
   Walls, M
   Zhang, S
AF Druckenmiller, Hannah
   Liao, Yanjun (Penny)
   Pesek, Sophie
   Walls, Margaret
   Zhang, Shan
TI Removing development incentives in risky areas promotes climate
   adaptation
SO NATURE CLIMATE CHANGE
LA English
DT Article; Early Access
ID BARRIER RESOURCES ACT; COASTAL; INSURANCE; HAZARD; CLEANUP; VALUES;
   PLACE
AB As natural disasters grow in frequency and intensity with climate change, limiting the populations and properties in harm's way will be key to adaptation. This study evaluates one approach to discouraging development in risky areas-eliminating public incentives for development, such as infrastructure investments, disaster assistance and federal flood insurance. Using machine learning and matching techniques, we examine the Coastal Barrier Resources System (CBRS), a set of lands where these federal incentives have been removed. We find that the policy leads to lower development densities inside designated areas, increases development in neighbouring areas, reduces flood damages and alters local demographics. Our results suggest that the CBRS generates substantial savings for the federal government by reducing flood claims in the National Flood Insurance Program, while increasing the property tax base in coastal counties.
   Adaptation requires limiting exposure to climate threats, and policies should focus on curbing development in risky areas. By examining the Coastal Barrier Resources Act, researchers demonstrate that removing financial incentives for development can lower climate risks and damages.
C1 [Druckenmiller, Hannah] CALTECH, Div Humanities & Social Sci, Pasadena, CA 91125 USA.
   [Druckenmiller, Hannah; Liao, Yanjun (Penny); Walls, Margaret] Resources Future Inc, Washington, DC 20036 USA.
   [Druckenmiller, Hannah] Natl Bur Econ Res, Cambridge, MA 02138 USA.
   [Pesek, Sophie] Univ Calif Berkeley, Energy & Resources Grp, Berkeley, CA USA.
   [Zhang, Shan] Old Dominion Univ, Dept Econ, Norfolk, VA USA.
C3 California Institute of Technology; Resources for the Future; National
   Bureau of Economic Research; University of California System; University
   of California Berkeley; Old Dominion University
RP Druckenmiller, H (corresponding author), CALTECH, Div Humanities & Social Sci, Pasadena, CA 91125 USA.; Druckenmiller, H (corresponding author), Resources Future Inc, Washington, DC 20036 USA.; Druckenmiller, H (corresponding author), Natl Bur Econ Res, Cambridge, MA 02138 USA.
EM hdruck@caltech.edu
OI Walls, Margaret/0000-0002-6256-0973; Druckenmiller,
   Hannah/0000-0003-4605-1172; Pesek, Sophie/0000-0001-7365-9605; Liao,
   Yanjun/0000-0002-3990-8476
FU Lincoln Institute of Land Policy
FX This research was funded by the Lincoln Institute of Land Policy (H.D.,
   Y.L. and M.W.). We thank T. BenDor, P. Mulder, A. Reilly, C. Taylor and
   D. Wright for helpful comments and suggestions. Property assessment and
   transaction data were provided by Zillow through the Zillow Transaction
   and Assessment Dataset (ZTRAX). More information on accessing the data
   can be found at https://www.zillow.com/research/ztrax. The results and
   opinions are those of the author(s) and do not reflect the position of
   Zillow Group.
CR Abadie A, 2021, J ECON LIT, V59, P391, DOI 10.1257/jel.20191450
   Abadie A, 2010, J AM STAT ASSOC, V105, P493, DOI 10.1198/jasa.2009.ap08746
   [Anonymous], 1977, Hyannis Quadrangle: 7.5 Minute Series (Orthophotoquad)
   [Anonymous], 1982, FED FLOOD INS PROH U
   [Anonymous], 1986, Hyannis Quadrangle: 7.5 Minute Series (Topographic).
   [Anonymous], 1988, 1988 REP C COAST BAR
   [Anonymous], 2002, The Coastal Barrier Resources Act: Harnessing the Power of Market Forces to Conserve America's Coasts and Save Taxpayers' Money
   [Anonymous], 2022, Land Change Monitoring, Assessment, and Projection
   [Anonymous], 1982, UND COAST BARR REP C
   [Anonymous], 2022, 5185StrengtheningCoastalCommunitiesActof2022 (US Congress, 2022)
   [Anonymous], 2018, Onslow Beach Complex L05 (2 of 2) and Topsail Unit L06 (1 of 2)
   Arkhangelsky D, 2021, AM ECON REV, V111, P4088, DOI 10.1257/aer.20190159
   Bagstad KJ, 2007, ECOL ECON, V63, P285, DOI 10.1016/j.ecolecon.2006.09.019
   Bakkensen LA, 2020, J ENVIRON ECON MANAG, V104, DOI 10.1016/j.jeem.2020.102362
   Banzhaf HS, 2013, J URBAN ECON, V74, P83, DOI 10.1016/j.jue.2012.09.006
   Banzhaf S., 2012, The Political Economy of Environmental Justice
   Banzhaf S, 2019, J ECON PERSPECT, V33, P185, DOI 10.1257/jep.33.1.185
   Below S, 2015, J REAL ESTATE RES, V37, P499
   Beltrán A, 2018, ECOL ECON, V146, P668, DOI 10.1016/j.ecolecon.2017.12.015
   Ben-Michael E, 2022, J ROY STAT SOC B, V84, P351, DOI 10.1111/rssb.12448
   Bin O, 2008, LAND ECON, V84, P434, DOI 10.3368/le.84.3.434
   Branham J, 2024, J AM PLANN ASSOC, V90, P18, DOI 10.1080/01944363.2022.2119156
   Branham J, 2022, FRONT ECOL ENVIRON, V20, P500, DOI 10.1002/fee.2532
   Browne MJ, 2019, J RISK INSUR, V86, P835, DOI 10.1111/jori.12240
   CICCHETTI CJ, 1994, J POLIT ECON, V102, P169, DOI 10.1086/261925
   Coburn AS, 2019, J COASTAL RES, V35, P1358, DOI 10.2112/JCOASTRES-D-18-00114.1
   Cordes JJ, 1998, LAND ECON, V74, P128, DOI 10.2307/3147218
   Costanza R, 2008, AMBIO, V37, P241, DOI 10.1579/0044-7447(2008)37[241:TVOCWF]2.0.CO;2
   Craig RK, 2019, CLIMATIC CHANGE, V152, P215, DOI 10.1007/s10584-018-2203-5
   Druckenmiller H., 2024, Zenodo, DOI [10.5281/zenodo.12199232, DOI 10.5281/ZENODO.12199232]
   EHRLICH I, 1972, J POLIT ECON, V80, P623, DOI 10.1086/259916
   Englander G, 2023, AM ECON J-ECON POLIC, V15, P390, DOI 10.1257/pol.20210812
   Gamper-Rabindran S, 2013, J ENVIRON ECON MANAG, V65, P345, DOI 10.1016/j.jeem.2012.12.001
   Glaeser E.L., 2002, NBER Working Paper. No. 8835
   Guo D, 2008, INT J GEOGR INF SCI, V22, P801, DOI 10.1080/13658810701674970
   Haninger K, 2017, J ASSOC ENVIRON RESO, V4, P197, DOI 10.1086/689743
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Hsieh CT, 2019, AM ECON J-MACROECON, V11, P1, DOI 10.1257/mac.20170388
   John H., 2022, Chafee Coastal Barrier Resources System
   Kahn ME, 2010, J HOUS ECON, V19, P269, DOI 10.1016/j.jhe.2010.09.001
   Kousky C., 2010, Induced Development in Risky Locations: Fire Suppression and Land Use in the American West
   Kuwayama Y, 2022, J PUBLIC ECON, V207, DOI 10.1016/j.jpubeco.2022.104600
   Landry CE, 2022, APPL ECON PERSPECT P, V44, P1373, DOI 10.1002/aepp.13197
   Narayan S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-09269-z
   Nolte C, 2024, LAND ECON, V100, P200, DOI 10.3368/le.100.1.102122-0090R
   Onda K, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0233888
   Peralta A., 2019, P ENV RISK JUST AM H, V19
   Pollmann M, 2020, Arxiv, DOI arXiv:2011.00373
   Salvesen D, 2005, COAST MANAGE, V33, P181, DOI 10.1080/08920750590917585
   Severen C, 2018, J URBAN ECON, V107, P65, DOI 10.1016/j.jue.2018.07.001
   Sieg H, 2004, INT ECON REV, V45, P1047, DOI 10.1111/j.0020-6598.2004.00297.x
   Sun FL, 2020, P NATL ACAD SCI USA, V117, P5719, DOI 10.1073/pnas.1915169117
   Taylor CA, 2022, AM ECON REV, V112, P1334, DOI 10.1257/aer.20210497
   Taylor LO, 2016, J URBAN ECON, V93, P85, DOI 10.1016/j.jue.2016.03.004
   TIEBOUT CM, 1956, J POLIT ECON, V64, P416, DOI 10.1086/257839
   Walls M., 2019, Does the Coastal Barrier Resources Act Provide a Policy Template to Address Wildfire Risk?
   Zhang Y, 2010, ENVIRON BEHAV, V42, P597, DOI 10.1177/0013916509334564
NR 57
TC 0
Z9 0
U1 12
U2 12
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 1758-678X
EI 1758-6798
J9 NAT CLIM CHANGE
JI Nat. Clim. Chang.
PD 2024 AUG 5
PY 2024
DI 10.1038/s41558-024-02082-3
EA AUG 2024
PG 20
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 A6T8O
UT WOS:001283851300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Jain, D
   Sarangi, G
   DAS, S
AF Jain, Divya
   Sarangi, Gopal K.
   Das, Sukanya
TI CLIMATE SENSITIVITY OF ELECTRICITY CONSUMPTION AND PEAK DEMAND IN INDIA:
   CASE OF HETEROGENEOUS CLIMATE ZONES
SO CLIMATE CHANGE ECONOMICS
LA English
DT Article
DE Climate variability; electricity demand; multivariate adaptive
   regression splines; India
ID ADAPTIVE REGRESSION SPLINES; TEMPERATURE; LOAD; DELHI; MODEL; CITY
AB Electricity demand is determined largely by regional climate conditions and seasonal characteristics, apart from a myriad of socio-economic and demographic factors. This paper investigates the climate sensitivity of electricity consumption and peak demand in six energy-intensive Indian states across heterogeneous climate zones using a non-parametric approach known as multivariate adaptive regression splines. The results show the highest temperature sensitivity of cooling electricity consumption in Punjab (8.2%), followed by Rajasthan (3.5%), Madhya Pradesh (3.1%), Tamil Nadu (2.3%), and Uttar Pradesh (1.2%). Among other climate variables, relative humidity has a non-linear impact on electricity consumption in the majority of states. The minimum temperature rise has a stronger influence on peak electricity demand than the maximum temperature in three states. Given that air-conditioning penetration is expected to increase in the future, this state-level analysis will help in developing accurate forecasts for electricity demand and formulating climate adaptation strategies for India.
C1 [Jain, Divya; Sarangi, Gopal K.; Das, Sukanya] TERI Sch Adv Studies, 10 Inst Area, New Delhi 110070, India.
C3 TERI University
RP Jain, D (corresponding author), TERI Sch Adv Studies, 10 Inst Area, New Delhi 110070, India.
EM divyyaajain1@gmail.com; gopal.sarangi@terisas.ac.in;
   sukanya.das@terisas.ac.in
RI ; Das, Sukanya/AAC-5603-2020
OI , Divya/0000-0002-5098-2503; Das, Sukanya/0000-0003-4524-4247
CR Ahmed T, 2012, APPL ENERG, V98, P376, DOI 10.1016/j.apenergy.2012.03.059
   Alipour P, 2019, ENERGY, V185, P1143, DOI 10.1016/j.energy.2019.07.074
   Ang BW, 2017, ENERGY, V127, P534, DOI 10.1016/j.energy.2017.04.005
   Apadula F, 2012, APPL ENERG, V98, P346, DOI 10.1016/j.apenergy.2012.03.053
   Bessec M, 2007, JEL CLASSIFICATION C, V33, pQ41
   Bureau Of Energy Efficiency Ministry of Power Government of India, 2017, ENERGY CONSERVATION
   CEA, 2019, LOAD GEN BAL REP 201
   Central Electricity Authority (CEA), 2021, LOAD GEN BAL REP 202
   Chang Y, 2016, ENERG ECON, V60, P206, DOI 10.1016/j.eneco.2016.09.016
   Chou SM, 2004, EXPERT SYST APPL, V27, P133, DOI 10.1016/j.eswa.2003.12.013
   Damm Andrea, 2017, Climate Services, V7, P12, DOI 10.1016/j.cliser.2016.07.001
   Friedman J H, 1995, Stat Methods Med Res, V4, P197, DOI 10.1177/096228029500400303
   FRIEDMAN JH, 1991, ANN STAT, V19, P1, DOI 10.1214/aos/1176347963
   Ghosh S, 2008, INT J INDIAN CULT BU, V1, P466, DOI 10.1504/IJICBM.2008.018626
   Gupta E, 2016, CLIM CHANG ECON, V7, DOI 10.1142/S2010007816500032
   Gupta E, 2012, ENERG ECON, V34, P1407, DOI 10.1016/j.eneco.2012.04.014
   Harish S, 2020, ENERG POLICY, V140, DOI 10.1016/j.enpol.2020.111445
   Harish VSKV, 2014, RENEW SUST ENERG REV, V33, P613, DOI 10.1016/j.rser.2014.02.021
   Ihara T, 2008, ENERGY, V33, P1634, DOI 10.1016/j.energy.2008.06.005
   IMD, 2020, STAT CLIM IND 2019
   Indiastat, 2019, STAT CAT WIS PER CAP
   International Institute for Population Sciences (IIPS), 2017, National Family Health Survey Internet Cited
   Kim HG, 2021, CLIM CHANG ECON, V12, DOI 10.1142/S2010007821500147
   Kumar S., 2018, DEMAND ANAL COOLING
   Lee CC, 2011, ENERG ECON, V33, P896, DOI 10.1016/j.eneco.2011.05.009
   Li YT, 2016, APPL ENERG, V180, P392, DOI 10.1016/j.apenergy.2016.07.052
   Maia-Silva D, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15393-8
   Ministry of Statistics and Programme Implementation Government of India (MOSPI), 2021, STAT DOM PROD OTH AG
   Mirasgedis S, 2006, ENERGY, V31, P208, DOI 10.1016/j.energy.2005.02.016
   Moral-Carcedo J, 2005, ENERG ECON, V27, P477, DOI 10.1016/j.eneco.2005.01.003
   Pardo A, 2002, ENERG ECON, V24, P55, DOI 10.1016/S0140-9883(01)00082-2
   Rallapalli SR, 2012, ENERG POLICY, V45, P516, DOI 10.1016/j.enpol.2012.02.064
   RAMESH S, 1988, ENERGY, V13, P671, DOI 10.1016/0360-5442(88)90097-7
   Roy SS, 2018, RENEW SUST ENERG REV, V82, P4256, DOI 10.1016/j.rser.2017.05.249
   Sahraei MA, 2021, ENERGY, V224, DOI 10.1016/j.energy.2021.120090
   Shu-Yi L.S., 2018, MODERN EC, V9, P587, DOI [10.4236/me.2018.94038, DOI 10.4236/ME.2018.94038]
   Sigauke Caston, 2010, ORiON, V26, P97
   Tripathi S, 2017, URBAN RES PRACT, V10, P379, DOI 10.1080/17535069.2016.1227875
   Trotter IM, 2016, ENERGY, V102, P596, DOI 10.1016/j.energy.2016.02.120
   Wang YP, 2018, ENERGY, V142, P473, DOI 10.1016/j.energy.2017.10.037
   Yang CC, 2003, BIOSYST ENG, V86, P9, DOI 10.1016/S1537-5110(03)00099-0
   Yao DJ, 2013, J COMPUT, V8, P170, DOI 10.4304/jcp.8.1.170-177
NR 42
TC 2
Z9 2
U1 3
U2 8
PU WORLD SCIENTIFIC PUBL CO PTE LTD
PI SINGAPORE
PA 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
SN 2010-0078
EI 2010-0086
J9 CLIM CHANG ECON
JI Clim. Chang. Econ.
PD AUG
PY 2023
VL 14
IS 03
DI 10.1142/S2010007823500136
EA MAR 2023
PG 34
WC Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA H6YG6
UT WOS:000957126300002
DA 2025-01-10
ER

PT J
AU Gray, S
AF Gray, Summer
TI Flows of Injustice: Linking Disaster Waste and Uneven Recovery to the
   Social Implications of Climate Disruption
SO ENVIRONMENTAL JUSTICE
LA English
DT Article
DE disaster waste; coastal justice; climate adaptation; social
   vulnerability; just recovery
ID ENVIRONMENTAL JUSTICE
AB As the climate crisis intensifies, recovery efforts increasingly occur at the interface of diverse landscapes and overlapping struggles for justice. To better understand the environmental justice implications of climate disruption and uneven recovery, this article casts a critical light on disaster waste. Drawing on a qualitative case study of a deadly debris flow in California and the dumping of toxic sediment on public beaches, I provide a "flows of injustice" framing to bridge environmental justice and climate justice concerns across multiple spatial contexts and temporalities. Although it is often assumed that recovery is spatially confined to the site of immediate disruption, residual injustice can arise when hazardous waste is disposed of near poor, working class, and minoritized communities without appropriate remediation measures. The case study illustrates how disaster recovery shifted vulnerability downstream away from wealthy communities, mirroring systems of value that prioritize privileged areas while designating new sacrifice zones. This suggests a need for a relational understanding of disaster recovery that goes beyond conventional landscape binaries that normalize unjust adaptation practices.
C1 [Gray, Summer] Univ Calif Santa Barbara, Environm Studies, Santa Barbara, CA USA.
   [Gray, Summer] Univ Calif Santa Barbara, Environm Studies Program, 4312 Bren Hall, Santa Barbara, CA 93106 USA.
C3 University of California System; University of California Santa Barbara;
   University of California System; University of California Santa Barbara
RP Gray, S (corresponding author), Univ Calif Santa Barbara, Environm Studies Program, 4312 Bren Hall, Santa Barbara, CA 93106 USA.
EM summer_gray@ucsb.edu
RI Gray, Summer/IAR-7668-2023
OI Gray, Summer/0000-0003-1661-179X
CR 5National Demographics Corporation, MAPP DAT GOL
   Allen BL, 2007, SOC STUD SCI, V37, P103, DOI 10.1177/0306312706069431
   Anderson B, 2020, PROG HUM GEOG, V44, P621, DOI 10.1177/0309132519849263
   Anderson SE, 2018, NAT CLIM CHANGE, V8, P651, DOI 10.1038/s41558-018-0208-8
   [Anonymous], BOIL WATER NOTICE 19
   [Anonymous], 2018, CORPS ENG COMPLETES
   [Anonymous], 2018, THOM FIR 1 9 DEBR FL
   [Anonymous], 2018, MONT COMM M COUNT SA
   [Anonymous], 2020, BEACH NOURISHMENT BE
   [Anonymous], 2018, COMMUNICATION   1013
   Bolin Bob., 2018, HDB DISASTER RES, P181, DOI [10.1007/978-3-319-63254-410, DOI 10.1007/978-3-319-63254-410, DOI 10.1007/978-3-319-63254-4_10]
   Brown C, 2011, WASTE MANAGE, V31, P1085, DOI 10.1016/j.wasman.2011.01.027
   Bullard R.D., 1990, DUMPING DIXIE RACE C, DOI DOI 10.4324/9780429495274
   Burgess R.G., 1984, FIELD INTRO FIELD RE
   Carroll Rory, 2018, GUARDIAN        0418
   City of Santa Barbara, 2019, 5 1 COAST HAZ UPD CO
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2021, ANN AM ASSOC GEOGR, V111, P819, DOI 10.1080/24694452.2020.1744423
   Dillon L, 2014, ANTIPODE, V46, P1205, DOI 10.1111/anti.12009
   Dzotsenidze Tamari, 2018, DAILY NEXUS     0125
   Fitzpatrick K.M., 2020, Hurricane Harvey's Aftermath: Place, Race, and Inequality in Disaster Recovery
   Gopalakrishnan S, 2017, ENVIRON RESOUR ECON, V67, P761, DOI 10.1007/s10640-016-0004-8
   Goto E.A., 2020, UNDERSTANDING REDUCI, P435
   Gurrola L. D., 2020, GEOLOGIC HAZARDS DUE
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   Jerolleman Alessandra., 2019, Disaster Recovery Through the Lens of Justice
   Kazerouni, 2018, SANTA BARBARA INDEPE
   Kothari U, 2020, GEOFORUM, V108, P305, DOI 10.1016/j.geoforum.2019.03.006
   Langdon S, 2019, AM SURGEON, V85, P1094
   Li D, 2020, WATER RES, V176, DOI 10.1016/j.watres.2020.115733
   Liao KH, 2019, LANDSCAPE URBAN PLAN, V189, P36, DOI 10.1016/j.landurbplan.2019.04.012
   Madrigano J, 2018, ENVIRON JUSTICE, V11, P95, DOI 10.1089/env.2017.0044
   Martin JA, 2019, J ENVIRON STUD SCI, V9, P234, DOI 10.1007/s13412-019-00545-0
   Méndez M, 2020, GEOFORUM, V116, P50, DOI 10.1016/j.geoforum.2020.07.007
   Mock B, 2009, ENVIRON JUSTICE, V2, P215, DOI 10.1089/env.2009.0039
   Molina, 2014, NOOZHAWK
   Morain, 2018, AFTERMATH DEADLY MUD
   Morrell E, 2022, ENVIRON JUSTICE, V15, P31, DOI 10.1089/env.2021.0015
   Murray AT, 2021, APPL SPAT ANAL POLIC, V14, P497, DOI 10.1007/s12061-020-09357-0
   Nixon R, 2011, SLOW VIOLENCE ENV PO, DOI [10.4159/harvard.9780674061194, DOI 10.4159/HARVARD.9780674061194]
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pellow D.N., 2007, Resisting global toxics: Transnational movements for environmental justice
   Rawls J., 1971, THEORY JUSTICE
   Respondent, 2018, COMMUNICATION   1026
   Respondent 10, 2018, COMMUNICATION   0921
   Ruhe R.V., 1975, GEOMORPHOLOGY GEOMOR
   Santa Barbara Trails Council, GOL BEACH RECR SURG
   Scherer, 1990, UPSTREAM DOWNSTREAM
   Schlosberg D, 2004, ENVIRON POLIT, V13, P517, DOI 10.1080/0964401042000229025
   Stoler AL, 2008, CULT ANTHROPOL, V23, P191, DOI 10.1111/j.1548-1360.2008.00007.x
   Tierney K., 2019, DISASTERS SOCIOLOGIC
   U.S. Census Bureau, 2020, DECENNIAL CENSUS
   Williams DA, 2021, ENVIRON JUSTICE, V14, P188, DOI 10.1089/env.2020.0043
   Xia R., 2021, Los Angeles Times
   Zoll D, 2021, ENVIRON JUSTICE, V14, P288, DOI 10.1089/env.2021.0034
NR 55
TC 0
Z9 0
U1 1
U2 6
PU MARY ANN LIEBERT, INC
PI NEW ROCHELLE
PA 140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, NY 10801 USA
SN 1939-4071
EI 1937-5174
J9 ENVIRON JUSTICE
JI Environ. Justice
PD AUG 1
PY 2023
VL 16
IS 4
BP 321
EP 327
DI 10.1089/env.2021.0123
EA JUL 2022
PG 7
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA O2LJ7
UT WOS:000825091700001
DA 2025-01-10
ER

PT J
AU Srikant, T
   Drost, HG
AF Srikant, Thanvi
   Drost, Hajk-Georg
TI How Stress Facilitates Phenotypic Innovation Through Epigenetic
   Diversity
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE epigenetics (DNA methylation); epigenomics; transposable element;
   abiotic stress; energy stress; plant engineering; methylome diversity;
   natural variation in plants
ID BODY DNA METHYLATION; TRANSPOSABLE ELEMENTS; NATURAL VARIATION;
   ABSCISIC-ACID; ARABIDOPSIS; RETROTRANSPOSITION; ENERGY; INHERITANCE;
   HOMEOSTASIS; EVOLUTION
AB Climate adaptation through phenotypic innovation will become the main challenge for plants during global warming. Plants exhibit a plethora of mechanisms to achieve environmental and developmental plasticity by inducing dynamic alterations of gene regulation and by maximizing natural variation through large population sizes. While successful over long evolutionary time scales, most of these mechanisms lack the short-term adaptive responsiveness that global warming will require. Here, we review our current understanding of the epigenetic regulation of plant genomes, with a focus on stress-response mechanisms and transgenerational inheritance. Field and laboratory-scale experiments on plants exposed to stress have revealed a multitude of temporally controlled, mechanistic strategies integrating both genetic and epigenetic changes on the genome level. We analyze inter- and intra-species population diversity to discuss how methylome differences and transposon activation can be harnessed for short-term adaptive efforts to shape co-evolving traits in response to qualitatively new climate conditions and environmental stress.
C1 [Srikant, Thanvi; Drost, Hajk-Georg] Max Planck Inst Dev Biol, Dept Mol Biol, Tubingen, Germany.
C3 Max Planck Society
RP Drost, HG (corresponding author), Max Planck Inst Dev Biol, Dept Mol Biol, Tubingen, Germany.
EM hajk-georg.drost@tuebingen.mpg.de
RI ; Drost, Hajk-Georg/G-2632-2015
OI Srikant, Thanvi/0000-0003-1390-3236; Drost,
   Hajk-Georg/0000-0002-1567-306X
FU Max Planck Society
FX This work was supported by the Max Planck Society.
CR Agorio A, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1006551
   Alonge M, 2020, CELL, V182, P145, DOI 10.1016/j.cell.2020.05.021
   Alvarez ME, 2010, MOL PLANT PATHOL, V11, P563, DOI [10.1111/J.1364-3703.2010.00621.X, 10.1111/j.1364-3703.2010.00621.x]
   [Anonymous], 2016, Cell, DOI DOI 10.1016/J.CELL.2016.05.063
   Ariel F, 2020, MOL CELL, V77, P1055, DOI 10.1016/j.molcel.2019.12.015
   Ariel F, 2014, MOL CELL, V55, P383, DOI 10.1016/j.molcel.2014.06.011
   Baena-González E, 2008, TRENDS PLANT SCI, V13, P474, DOI 10.1016/j.tplants.2008.06.006
   Baena-González E, 2007, NATURE, V448, P938, DOI 10.1038/nature06069
   Baulcombe DC, 2014, CSH PERSPECT BIOL, V6, DOI 10.1101/cshperspect.a019471
   Benoit M, 2019, PLOS GENET, V15, DOI 10.1371/journal.pgen.1008370
   Berry S, 2015, PLANT J, V83, P133, DOI 10.1111/tpj.12869
   Bewick AJ, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1195-1
   Bewick AJ, 2017, CURR OPIN PLANT BIOL, V36, P103, DOI 10.1016/j.pbi.2016.12.007
   Blevins T, 2017, P NATL ACAD SCI USA, V114, P3702, DOI 10.1073/pnas.1700368114
   Bui EN, 2013, J ARID ENVIRON, V92, P14, DOI 10.1016/j.jaridenv.2012.12.014
   Cambiagno DA, 2018, PLANT J, V96, P1178, DOI 10.1111/tpj.14098
   Catacchio CR, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-39010-x
   Choi JY, 2018, MOL BIOL EVOL, V35, P365, DOI 10.1093/molbev/msx284
   Darwin C., 1858, J LINNEAN SOC ZOOLOG, V3, P45, DOI [DOI 10.1111/J.1096-3642.1858.TB02500.X, 10.1111/j.1096-3642.1858.tb02500.x]
   Day T, 2011, AM NAT, V178, pE18, DOI 10.1086/660911
   De Block M, 2011, CURR OPIN PLANT BIOL, V14, P275, DOI 10.1016/j.pbi.2011.02.007
   Drost H-G., 2020, Journal of Open Source Software, V5, P2170, DOI DOI 10.21105/JOSS.02170
   Durand S, 2012, CURR BIOL, V22, P326, DOI 10.1016/j.cub.2011.12.054
   Exposito-Alonso M, 2018, NAT ECOL EVOL, V2, P352, DOI 10.1038/s41559-017-0423-0
   Fang YJ, 2017, ACTA PHYSIOL PLANT, V39, DOI 10.1007/s11738-017-2427-4
   Ferreira LJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0124060
   Feschotte C, 2008, NAT REV GENET, V9, P397, DOI 10.1038/nrg2337
   Forestan C, 2020, PLANT CELL ENVIRON, V43, P55, DOI 10.1111/pce.13660
   Furci L, 2019, ELIFE, V8, DOI 10.7554/eLife.40655
   Gallego-Bartolomé J, 2019, CELL, V176, P1068, DOI 10.1016/j.cell.2019.01.029
   Gallego-Bartolomé J, 2018, P NATL ACAD SCI USA, V115, pE2125, DOI 10.1073/pnas.1716945115
   Ganguly DR, 2017, PLANT PHYSIOL, V175, P1893, DOI 10.1104/pp.17.00744
   Gaubert H, 2017, GENETICS, V207, P813, DOI 10.1534/genetics.117.300103
   Geoghegan JL, 2013, THEOR POPUL BIOL, V88, P1, DOI 10.1016/j.tpb.2013.05.001
   Geoghegan JL, 2013, THEOR POPUL BIOL, V83, P136, DOI 10.1016/j.tpb.2012.09.001
   Gillespie J. H., 2004, POPULATION GENETICS
   Goerner-Potvin P, 2018, NAT REV GENET, V19, P688, DOI 10.1038/s41576-018-0050-x
   Groszmann M, 2011, P NATL ACAD SCI USA, V108, P2617, DOI 10.1073/pnas.1019217108
   Hauben M, 2009, P NATL ACAD SCI USA, V106, P20109, DOI 10.1073/pnas.0908755106
   Hayashi Y, 2020, GENES GENET SYST, V95, P183, DOI 10.1266/ggs.20-00019
   Hosaka A, 2018, CURR OPIN GENET DEV, V49, P43, DOI 10.1016/j.gde.2018.02.012
   Ito H, 2011, NATURE, V472, P115, DOI 10.1038/nature09861
   Ito T, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005154
   Iwasaki M, 2014, EMBO J, V33, P1987, DOI 10.15252/embj.201488883
   Iwasaki M, 2014, P NATL ACAD SCI USA, V111, P8547, DOI 10.1073/pnas.1402275111
   Jablonka E, 2015, INT J EPIDEMIOL, V44, P1094, DOI 10.1093/ije/dyv020
   Johnson LM, 2007, CURR BIOL, V17, P379, DOI 10.1016/j.cub.2007.01.009
   Kalladan R, 2017, P NATL ACAD SCI USA, V114, P11536, DOI 10.1073/pnas.1705884114
   Karaaslan ES, 2020, NAT PLANTS, V6, P1250, DOI 10.1038/s41477-020-00766-0
   Kawakatsu T, 2016, CELL, V166, P492, DOI 10.1016/j.cell.2016.06.044
   Kronholm I, 2016, MOL ECOL, V25, P1856, DOI 10.1111/mec.13296
   Lanciano S, 2020, NAT REV GENET, V21, P721, DOI 10.1038/s41576-020-0251-y
   Lanciano S, 2018, CURR OPIN GENET DEV, V49, P106, DOI 10.1016/j.gde.2018.04.002
   Li XQ, 2018, P NATL ACAD SCI USA, V115, pE8793, DOI 10.1073/pnas.1809841115
   Lippman Z, 2004, NATURE, V430, P471, DOI 10.1038/nature02651
   Lira-Medeiros CF, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010326
   Ljung K, 2015, CURR OPIN PLANT BIOL, V25, P130, DOI 10.1016/j.pbi.2015.05.022
   Lu L, 2017, FRONT BUS RES CHINA, V11, DOI 10.1186/s11782-017-0010-x
   Lu ZF, 2019, NAT PLANTS, V5, P1250, DOI 10.1038/s41477-019-0548-z
   Luna E, 2012, PLANT SIGNAL BEHAV, V7, P615, DOI 10.4161/psb.20155
   Maher K.A., 2017, The Plant Cell, V29, P1, DOI DOI 10.1101/167932
   Marí-Ordóñez A, 2013, NAT GENET, V45, P1029, DOI 10.1038/ng.2703
   Mason MG, 2014, P NATL ACAD SCI USA, V111, P6092, DOI 10.1073/pnas.1322045111
   Matsunaga W, 2012, PLANT CELL PHYSIOL, V53, P824, DOI 10.1093/pcp/pcr179
   Mirouze M, 2012, P NATL ACAD SCI USA, V109, P5880, DOI 10.1073/pnas.1120841109
   Mirouze M, 2011, CURR OPIN PLANT BIOL, V14, P267, DOI 10.1016/j.pbi.2011.03.004
   Mirouze M, 2009, NATURE, V461, P427, DOI 10.1038/nature08328
   Monroe JG, 2018, ELIFE, V7, DOI 10.7554/eLife.41038
   Mousavi S, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-37496-5
   Neves DM, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-14161-x
   Pál C, 1998, P ROY SOC B-BIOL SCI, V265, P1319, DOI 10.1098/rspb.1998.0436
   Pál C, 1999, J THEOR BIOL, V200, P19, DOI 10.1006/jtbi.1999.0974
   Papikian A, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08736-7
   Paszkowski J, 2015, CURR OPIN BIOTECH, V32, P200, DOI 10.1016/j.copbio.2015.01.003
   Perruc E, 2007, PLANT J, V52, P927, DOI 10.1111/j.1365-313X.2007.03288.X
   Picart-Picolo A, 2020, GENOME RES, V30, P1583, DOI 10.1101/gr.261586.120
   Pignatta D, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007469
   Quadrana L, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11385-5
   Quadrana L, 2016, ANNU REV GENET, V50, P467, DOI 10.1146/annurev-genet-120215-035254
   Quadrana L, 2016, ELIFE, V5, DOI [10.7554/elife.15716, 10.7554/eLife.15716]
   Reinders J, 2009, GENE DEV, V23, P939, DOI 10.1101/gad.524609
   Reynoso MA, 2019, SCIENCE, V365, P1291, DOI 10.1126/science.aax8862
   Riahi H, 2019, PLOS BIOL, V17, DOI 10.1371/journal.pbio.2006146
   Ricci WA, 2019, NAT PLANTS, V5, P1237, DOI 10.1038/s41477-019-0547-0
   Rivero RM, 2014, PLANT CELL ENVIRON, V37, P1059, DOI 10.1111/pce.12199
   Sanchez DH, 2019, NEW PHYTOL, V223, P950, DOI 10.1111/nph.15896
   Sanchez DH, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01374-x
   Sasaki E, 2019, PLOS GENET, V15, DOI 10.1371/journal.pgen.1008492
   Schmid MW, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06932-5
   Schmitz RJ, 2013, GENOME RES, V23, P1663, DOI 10.1101/gr.152538.112
   Secco D, 2015, ELIFE, V4, DOI 10.7554/eLife.09343
   Shen X, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004842
   Shivaprasad PV, 2012, EMBO J, V31, P257, DOI 10.1038/emboj.2011.458
   Slotkin RK, 2007, NAT REV GENET, V8, P272, DOI 10.1038/nrg2072
   Song CP, 2005, PLANT CELL, V17, P2384, DOI 10.1105/tpc.105.033043
   Sow M. D., 2020, BIORXIV PREPRINT, DOI [10.1101/2020.04.16.045328v1.abstract, DOI 10.1101/2020.04.16.045328V1.ABSTRACT]
   Stuart T, 2016, ELIFE, V5, DOI 10.7554/eLife.20777
   Tittel-Elmer M, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1001175
   Van Dooren T., 2018, Mild drought induces phenotypic and DNA methylation plasticity but no transgenerational effects in Arabidopsis, DOI DOI 10.1101/370320
   Wang GF, 2017, J EXP BOT, V68, P797, DOI 10.1093/jxb/erw486
   Weigel D, 2012, GENOME BIOL, V13, DOI 10.1186/gb-2012-13-10-249
   Wibowo A, 2018, P NATL ACAD SCI USA, V115, pE9145, DOI 10.1073/pnas.1805371115
   Wibowo A, 2016, ELIFE, V5, DOI 10.7554/eLife.13546
   Williams BP, 2020, TRENDS GENET, V36, P751, DOI 10.1016/j.tig.2020.06.019
   Yang R, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00900
   Yu A, 2013, P NATL ACAD SCI USA, V110, P2389, DOI 10.1073/pnas.1211757110
   Yu ZP, 2020, TRENDS PLANT SCI, V25, P1117, DOI 10.1016/j.tplants.2020.06.008
   Zandalinas SI, 2020, P NATL ACAD SCI USA, V117, P13810, DOI 10.1073/pnas.2005077117
   Zemach A, 2010, P NATL ACAD SCI USA, V107, P18729, DOI 10.1073/pnas.1009695107
   Zhang W, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098958
   Zhang YW, 2020, P NATL ACAD SCI USA, V117, P4874, DOI 10.1073/pnas.1918172117
   Zheng XG, 2017, SCI REP-UK, V7, DOI 10.1038/srep39843
   Zhou CH, 2005, PLANT CELL, V17, P1196, DOI 10.1105/tpc.104.028514
   Zhou YF, 2019, NAT PLANTS, V5, P965, DOI 10.1038/s41477-019-0507-8
NR 114
TC 33
Z9 34
U1 1
U2 40
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 JAN 15
PY 2021
VL 11
AR 606800
DI 10.3389/fpls.2020.606800
PG 14
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA PZ3MZ
UT WOS:000612644300001
PM 33519857
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Hwang, RL
   Lin, TP
   Kuo, NJ
AF Hwang, RL
   Lin, TP
   Kuo, NJ
TI Field experiments on thermal comfort in campus classrooms in Taiwan
SO ENERGY AND BUILDINGS
LA English
DT Article
DE thermal comfort; classroom; field experiments
AB This paper presents the results of the ASHRAE methodology for thermal comfort study applied in Taiwan. Field experiments conducted in 10 naturally ventilated and 26 air-conditioned campus classrooms used survey questionnaires and physical measurements to collect data. A total of 944 individuals in seven universities completed 1294 questionnaires. The chi-square tests were applied to find the significant aspects that affect students' thermal sensations. The results show that air temperature, air movement and mean radiant temperature have significant influence, but humidity has no statistical significance. By using probit regressive analyses, the thermal neutrality and thermal preference of students occurred at 26.3 degrees C ET* and 24.7 degrees C ET*, respectively. Responses from those students suggest a wider acceptable temperature range for occupants in Taiwan. The margins of the acceptable zones obtained from direct and indirect acceptability assessing methods are 21.1-29.8 degrees C ET* and 24.2-29.3 degrees C ET*, respectively. When compared with similar studies elsewhere, this finding supports the sentiments on climatic adaptation. (c) 2005 Elsevier B.V. All rights reserved.
C1 China Med Univ, Dept Occupat Hlth & Safety, Taichung 404, Taiwan.
   Natl Formosa Univ, Dept Leisure Planning, Yuanlin 632, Taiwan.
C3 China Medical University Taiwan; National Formosa University
RP China Med Univ, Dept Occupat Hlth & Safety, 91 Huseh Shin Rd, Taichung 404, Taiwan.
EM hwangrl@mail.cmu.edu.tw; tplin@sunws.nfu.edu.tw
RI Hwang, Ruey-Lung/JXN-2420-2024; Lin, Tzu-Ping/D-2719-2014
OI Hwang, Ruey-Lung/0000-0002-4548-5836; Lin, Tzu-Ping/0000-0003-3961-9858;
   K, Senthamarai Kannan/0000-0003-1984-242X
CR [Anonymous], 1994, ISO 7730
   [Anonymous], 2004, Standard 55. Thermal Environment Conditions for Human Occupancy
   [Anonymous], 1998, ISO 7726 ERGONOMICS, DOI DOI 10.1111/INA.12748
   BUSCH JF, 1990, ASHRAE TRAN, V96, P859
   CENA K, 1998, 921RP ASHRAE
   CHAN WT, 1998, ASHRAE T, V104, P1172
   *CONSTR PLANN AG M, 2003, EXPL BUILD EN CONS D, P2
   de Dear R.J., 1994, ASHRAE T, V100, P457
   DEDEAR RJ, 1991, INT J BIOMETEOROL, V34, P259, DOI 10.1007/BF01041840
   DONNINI G, 1996, ASHRAE T 2, V103
   Fountain ME, 1996, ASHRAE J, V38, P39
   Karyono TH, 2000, BUILD ENVIRON, V35, P77, DOI 10.1016/S0360-1323(98)00066-3
   Kwok AlisonG., 1998, ASHRAE T, V104, P1031
   SCHILLER G, 1988, 462RP ASHRAE
   Wong NH, 2003, ENERG BUILDINGS, V35, P337, DOI 10.1016/S0378-7788(02)00109-3
NR 15
TC 190
Z9 205
U1 2
U2 55
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD JAN
PY 2006
VL 38
IS 1
BP 53
EP 62
DI 10.1016/j.enbuild.2005.05.001
PG 10
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA 982BH
UT WOS:000233131300007
DA 2025-01-10
ER

PT J
AU Nsengiyumva, G
   Clarkson, G
   Gumucio, T
   Dorward, P
   Ingabire, C
AF Nsengiyumva, Gloriose
   Clarkson, Graham
   Gumucio, Tatiana
   Dorward, Peter
   Ingabire, Chantal
TI Exploring the effects of a participatory climate services approach on
   smallholder decision-making in Rwanda using a gender lens
SO GENDER TECHNOLOGY & DEVELOPMENT
LA English
DT Article
DE Gender; climate services; Rwanda; smallholder farmers; decision making;
   participatory extension
ID NEEDS; INFORMATION; AFRICA; FARMER; RISK
AB Effective climate services are crucial in supporting farmers to adapt to climate variability and change. Different factors may hinder certain types of farmers in accessing, using and benefiting from climate services. Participatory Integrated Climate Services for Agriculture (PICSA) is a climate services and agricultural extension approach that has been used in more than 20 countries. PICSA has empowered women and men farmers in their planning and decision making and led them to make beneficial changes. Over 112,000 farmers were trained in Rwanda. Results from a large-scale quantitative survey and qualitative case studies with selected farmers are analyzed by gender, headship and wealth to enable understanding of how different farmers access, use and benefit from the information and tools that make up PICSA. Almost all respondents made changes in their farming and/or other livelihood enterprises as a result of the training. The majority of farmers reported that the changes they had made were beneficial, however, a key finding is that in some cases women heads from the least wealthy categories are less able to benefit. This paper provides insights on how gender, headship and wealth status influence responses to climate information and decision-making tools and in so doing highlights important implications for the design of climate services and similar interventions.
C1 [Nsengiyumva, Gloriose] Columbia Univ, Int Res Inst Climate & Soc IRI, Earth Inst, New York, NY USA.
   [Clarkson, Graham; Dorward, Peter] Univ Reading, Sch Agr Policy & Dev, Reading, England.
   [Gumucio, Tatiana] Clark Univ, Humanitarian & Rural Dev Lab, Worcester, MA USA.
   [Ingabire, Chantal] Minist Agr & Anim Resources, Kigali City, Rwanda.
C3 Columbia University; University of Reading; Clark University
RP Clarkson, G (corresponding author), Univ Reading, Sch Agr Policy & Dev, Reading, England.
EM g.clarkson@reading.ac.uk
RI Clarkson, Graham/ABF-4508-2020; Nsengiyumva, Gloriose/KEE-5931-2024
OI Clarkson, Graham/0000-0002-4342-4773; Dorward,
   Peter/0000-0003-2831-3693; Nsengiyumva, Gloriose/0000-0003-3005-7721
FU United States Agency for International Development (USAID); 
   [AID-BFS-G-11-00002-10]
FX This study was conducted as part of the United States Agency for
   International Development (USAID) funded Rwanda Climate Services for
   Agriculture Project [USAID Contract No: AID-BFS-G-11-00002-10]. The
   contents are the authors' responsibilities and do not reflect the views
   of the USAID or the United States Government.
CR Ali DA, 2014, J DEV ECON, V110, P262, DOI 10.1016/j.jdeveco.2013.12.009
   Bee BA, 2016, GEOFORUM, V69, P71, DOI 10.1016/j.geoforum.2015.12.006
   Bigler C, 2017, WOMEN STUD INT FORUM, V64, P17, DOI 10.1016/j.wsif.2017.08.004
   Carr ER, 2020, CLIM DEV, V12, P23, DOI 10.1080/17565529.2019.1596061
   Carr ER, 2018, CLIM RISK MANAG, V22, P82, DOI 10.1016/j.crm.2017.03.002
   Carr ER, 2016, WEATHER CLIM SOC, V8, P247, DOI 10.1175/WCAS-D-15-0075.1
   Clarkson G., 2020, 338 CCAFS CGIAR
   Clarkson G, 2019, CLIM SERV, V14, P1, DOI 10.1016/j.cliser.2019.02.002
   Dorward P., 2015, Participatory Integrated Climate Services for Agricultura (PICSA): Field Manual
   Dorward P, 2021, ONE EARTH, V4, P1059, DOI 10.1016/j.oneear.2021.08.004
   Fisher M, 2015, GLOBAL ENVIRON CHANG, V35, P82, DOI 10.1016/j.gloenvcha.2015.08.009
   Gender Monitoring Office Republic of Rwanda, 2017, GENDER AGR
   Gumucio T, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.908602
   Gumucio T, 2020, CLIM DEV, V12, P241, DOI 10.1080/17565529.2019.1613216
   Jones-Casey K., 2015, 2015 WORLD BANK C LA
   Kristjanson P, 2017, INT J AGR SUSTAIN, V15, P482, DOI 10.1080/14735903.2017.1336411
   Manfre C., 2013, Exploring the promise of information and communication technologies for women farmers in Kenya
   NISR, 2018, 5 INT HOUS LIV COND
   Otieno G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13042074
   Rengalakshmi R., 2018, ECON POLIT WEEKLY, V53, P87
   Roncoli C., 2003, Weather, Climate Culture, P181
   Roncoli C, 2009, CLIMATIC CHANGE, V92, P433, DOI 10.1007/s10584-008-9445-6
   Staub CG, 2021, J RURAL STUD, V81, P235, DOI 10.1016/j.jrurstud.2020.10.029
   Steinmuller S., 2017, EVALUATION CLIMATE S
   Thobejane TD., 2018, GENDER BEHAV, V16, P11500
NR 25
TC 1
Z9 1
U1 0
U2 4
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0971-8524
EI 0973-0656
J9 GEND TECHNOL DEV
JI Gend. Technol. Dev.
PD DEC 1
PY 2022
VL 26
IS 3
SI SI
BP 544
EP 563
DI 10.1080/09718524.2022.2144102
EA DEC 2022
PG 20
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA 7F0PA
UT WOS:000896712900001
OA hybrid, Green Accepted
DA 2025-01-10
ER

PT J
AU Lauriola, P
   Serafini, A
   Santamaria, M
   Guicciardi, S
   Kurotschka, PK
   Leonardi, GS
   Zeka, A
   Segredo, E
   Bassi, MC
   Gokdemir, O
   de Tommasi, F
   Vinci, E
   Romizi, R
   McGushin, A
   Barros, E
   Abelsohn, A
   Pegoraro, S
AF Lauriola, Paolo
   Serafini, Alice
   Santamaria, Mariagrazia
   Guicciardi, Stefano
   Kurotschka, Peter K.
   Leonardi, Giovanni S.
   Zeka, Ariana
   Segredo, Evelyn
   Bassi, Maria C.
   Gokdemir, Ozden
   de Tommasi, Francesco
   Vinci, Emanuele
   Romizi, Roberto
   McGushin, Alice
   Barros, Enrique
   Abelsohn, Alan
   Pegoraro, Samantha
TI Family doctors to connect <i>global concerns</i> due to climate change
   with <i>local actions</i>: State-of-the art and some proposals
SO WORLD MEDICAL & HEALTH POLICY
LA English
DT Article
DE climate change; environmental epidemiology; environmental-health
   surveillance; primary health care; sentinel family doctors
ID CONGO HEMORRHAGIC-FEVER; GENERAL-PRACTITIONERS; MEDICAL-EDUCATION;
   HEALTH-CARE; SURVEILLANCE; PHYSICIANS; PREPAREDNESS; SCENARIOS;
   MORTALITY; ENGLAND
AB Climate change (CC) is the most challenging environmental health (EH) concern. Air pollution is closely linked to CC. However, many CC-health-related conditions (i.e., allergic diseases, asthma, hypertension, fluid and electrolyte disorders, child and adult obesity, type 2 diabetes, vector-borne diseases) are not usually counted, either because they do not cause death or require hospital admission/emergency triage. They are the vast majority of health care seeking generally treated by family doctors (FDs) and family pediatricians (FPs). FDs/FPs are often not aware of CC-health-impacts. Their potential role in tackling such a global challenge through their local influence on individual and collective attitudes and policies is not considered. Proper FD training could fill these gaps, raise awareness of their role, and implement EH FDs/FPs-based surveillance networks to collect, analyze, interpret, and report EH data to inform EH-related Policy. FDs and FPs, organized in sentinel physicians' networks, could play a key role in advising policy-makers at the local and regional level in designing interventions adapted to climate-related issues. Such experiences are rare worldwide and not well known. We will describe and discuss them in detail to share successful local examples.
C1 [Lauriola, Paolo; Serafini, Alice; Santamaria, Mariagrazia; Pegoraro, Samantha] Rete Italiana Med Sentinella Ambiente RIMSA, Staff Tecnicosci, Arezzo, Italy.
   [Lauriola, Paolo] Int Soc Doctors Environm ISDE, Environm Working Grp, Basel, Switzerland.
   [Serafini, Alice] Local Hlth Author, Dept Primary Care, Modena, Italy.
   [Santamaria, Mariagrazia] Local Hlth Author, Dept Primary Care, Foggia, Italy.
   [Guicciardi, Stefano] Bologna Local Hlth Author, Hlth Directorate, Bologna, Italy.
   [Guicciardi, Stefano] Univ Bologna, Dept Biomed & Neuromotor Sci, Bologna, Italy.
   [Kurotschka, Peter K.] Univ Cagliari, Fac Med & Surg, Dept Med Sci & Publ Hlth, Cagliari, Italy.
   [Kurotschka, Peter K.] Local Hlth Author, Dept Primary Care, Cagliari, Italy.
   [Leonardi, Giovanni S.] Publ Hlth England, Ctr Radiat Chem & Environm Hazards, Environm Epidemiol Grp, Chilton, England.
   [Leonardi, Giovanni S.] London Sch Hyg & Trop Med, Dept Social & Environm Hlth Res, London, England.
   [Zeka, Ariana] Brunel Univ, Inst Environm Hlth & Soc, London, England.
   [Segredo, Evelyn] Uruguayan Soc Family & Community Med, Family & Community Med, Montevideo, Uruguay.
   [Bassi, Maria C.] IRCCS Reggio Emilia, Azienda USL, Med Lib, Reggio Emilia, Italy.
   [Gokdemir, Ozden] Izmir Univ Econ, Fac Med, Izmir, Turkey.
   [de Tommasi, Francesco] Local Hlth Author, Dept Primary Care, Bari, Italy.
   [Vinci, Emanuele] Natl Med Boards Federat, Hlth & Environm Working Grp, Rome, Italy.
   [Romizi, Roberto] ISDE Italy, Assoc Med Ambiente, Arezzo, Italy.
   [McGushin, Alice; Barros, Enrique; Abelsohn, Alan] World Org Family Doctors WONCA, Working Party Environm, Brussels, Belgium.
   [McGushin, Alice] UCL, Inst Global Hlth, London, England.
   [Barros, Enrique] Univ Caxias Do Sul, Atencao Primaria Saude, Caxias Do Sul, RS, Brazil.
   [Abelsohn, Alan] Univ Toronto, Dept Family & Community Med, Toronto, ON, Canada.
   [Pegoraro, Samantha] Italian Climate Network, Dept Climate & Hlth, Milan, Italy.
C3 University of Bologna; University of Cagliari; Public Health England;
   University of London; London School of Hygiene & Tropical Medicine;
   Brunel University; Izmir Ekonomi Universitesi; University of London;
   University College London; Universidade de Caxias do Sul; University of
   Toronto
RP Lauriola, P (corresponding author), Via Cimone 55, I-41122 Modena, Italy.
EM paolo.lauriola@gmail.com
RI kurotschka, peter konstantin/GNH-2936-2022; De Tommasi,
   Francesca/IVH-2517-2023; Lauriola, Paolo/AAF-1998-2020; Leonardi,
   Giovanni/AAS-7603-2020; Gokdemir, Ozden/W-1663-2017; Bassi, Maria
   Chiara/J-3703-2018
OI Leonardi, Giovanni S./0000-0001-7477-1762; Lauriola,
   Paolo/0000-0003-4768-6612; Gokdemir, Ozden/0000-0002-0542-5767;
   McGushin, Alice/0000-0001-9674-0457; Guicciardi,
   Stefano/0000-0002-3984-2614; Kurotschka, Peter
   Konstantin/0000-0003-3750-6147; Bassi, Maria Chiara/0000-0002-5418-2837;
   Serafini, Alice/0000-0002-7396-2839
CR Abelsohn A, 2013, CAN FAM PHYSICIAN, V59, P462
   Ahmad T, 2020, HUM VACC IMMUNOTHER, V16, P931, DOI 10.1080/21645515.2020.1732168
   Allard Denis G, 2002, Can J Infect Dis, V13, P185
   Altpeter E, 2013, SWISS MED WKLY, V143, DOI 10.4414/smw.2013.13725
   Amuasi JH, 2020, LANCET, V395, P1543, DOI 10.1016/S0140-6736(20)31028-X
   Andersen KG, 2020, NAT MED, V26, P450, DOI 10.1038/s41591-020-0820-9
   Anikeeva O, 2016, AUST J PRIM HEALTH, V22, P283, DOI 10.1071/PY15156
   [Anonymous], 2019, Ann. Intern. Med.
   [Anonymous], 2002, RED RISKS PROM HLTH
   [Anonymous], 2015, RES AD GEN ASS TRANS
   Åström C, 2012, ECOHEALTH, V9, P448, DOI 10.1007/s10393-012-0808-0
   Balci E, 2014, J INFECT PUBLIC HEAL, V7, P125, DOI 10.1016/j.jiph.2013.09.002
   Belkin G, 2020, NEW ENGL J MED, V382, P1975, DOI 10.1056/NEJMp2001507
   Blashki G, 2007, AUST FAM PHYSICIAN, V36, P986
   Blashki Grant, 2012, Asia Pac Fam Med, V11, P6, DOI 10.1186/1447-056X-11-6
   Boland TM, 2019, WILD ENVIRON MED, V30, P386, DOI 10.1016/j.wem.2019.08.005
   Bonilla-Aldana D., 2020, Advances in Animal and Veterinary Sciences, V8, P234, DOI DOI 10.17582/JOURNAL.AAVS/2020/8.3.234.237
   Boyer E, 2019, LANCET PUBLIC HEALTH, V4, pE276, DOI 10.1016/S2468-2667(19)30088-X
   Brown L, 2016, J PUBLIC HEALTH MAN, V22, P102, DOI 10.1097/PHH.0000000000000356
   Buka I, 2019, PAED CHILD HEALT-CAN, V24, P557, DOI 10.1093/pch/pxz157
   Burns PL, 2019, MED J AUSTRALIA, V210, P297, DOI 10.5694/mja2.50067
   Buse CG, 2018, J EPIDEMIOL COMMUN H, V72, P420, DOI 10.1136/jech-2017-210082
   CCAC, 2021, WHAT AR SHORT LIV CL
   CCAC, 2019, URG GOV ACT CLIM AIR
   CDC, 2021, DIS EP
   Cheng G.Y.J., 2008, HONG KONG PRACTITION, V30, P223
   Dahlgren G, 1991, Policies and strategies to promote social equity in health
   Fischhoff B, 2020, JAMA-J AM MED ASSOC, V324, P139, DOI 10.1001/jama.2020.10178
   Fogarty A, 2008, AUST FAM PHYSICIAN, V37, P681
   Girond F, 2017, MALARIA J, V16, DOI 10.1186/s12936-017-1728-9
   Green LA, 2001, NEW ENGL J MED, V345, P1212
   Gudo ES, 2016, INT J INFECT DIS, V45, P468, DOI 10.1016/j.ijid.2016.02.990
   Guggenheim R, 2016, BRIT J GEN PRACT, V66, P149, DOI 10.3399/bjgp16X684097
   Haines A, 2019, NEW ENGL J MED, V380, P263, DOI 10.1056/NEJMra1807873
   Hales S., 2014, QUANTITATIVE RISK AS
   Haque MA, 2013, BMC PUBLIC HEALTH, V13, DOI 10.1186/1471-2458-13-565
   Hueffer K, 2013, INT J CIRCUMPOL HEAL, V72, DOI 10.3402/ijch.v72i0.19562
   Huss A, 2004, SWISS MED WKLY, V134, P500
   Karakecili F, 2018, J VECTOR DIS, V55, P215, DOI 10.4103/0972-9062.249479
   Karesh WB, 2012, LANCET, V380, P1936, DOI 10.1016/S0140-6736(12)61678-X
   Kumar A., 2018, 1 WHO AIR POLL C GEN
   Lauriola P., 2018, J FAMILY MED COMMUNI, V5, P1160
   Lauriola P., 2019, ENCY ENV HLTH, P563, DOI DOI 10.1016/B978-0-12-409548-9.11140-6
   Lauriola P, 2021, BMJ GLOB HEALTH, V6, DOI 10.1136/bmjgh-2020-004111
   Lauriola P, 2019, EPIDEMIOL PREV, V43, P129, DOI 10.19191/EP19.2-3.P129.051
   Lawson E, 2019, BRIT J GEN PRACT, V69, P343, DOI 10.3399/bjgp19X704333
   Leblebicioglu H, 2010, INT J ANTIMICROB AG, V36, pS43, DOI 10.1016/j.ijantimicag.2010.06.020
   Li X, 2020, LANCET, V395, P1802, DOI 10.1016/S0140-6736(20)30122-7
   Lieske DJ, 2018, TICKS TICK-BORNE DIS, V9, P695, DOI 10.1016/j.ttbdis.2018.01.018
   Lodge A, 2015, CAN FAM PHYSICIAN, V61, P582
   Maller C., 2002, Healthy parks healthy people: The health benefits of contact with nature in a park context: A review of current literature
   McMichael T., 2001, HUMAN FRONTIERS ENV
   Mehta A, 2009, CAN MED ASSOC J, V180, P1176, DOI 10.1503/cmaj.090769
   Michelozzi P, 2010, INT J ENV RES PUB HE, V7, P2256, DOI 10.3390/ijerph7052256
   Munn Z, 2018, BMC MED RES METHODOL, V18, DOI 10.1186/s12874-017-0468-4
   Murgia V., 2020, BMJ-BRIT MED J, V368, pM627
   National Geographic, 2019, CLIMATE CHANGE
   Newitt S, 2016, EPIDEMIOL INFECT, V144, P2251, DOI 10.1017/S0950268816000686
   Parise I, 2018, AUST J GEN PRACT, V47, P451, DOI 10.31128/AJGP-11-17-4412
   Parker CL, 2019, AM FAM PHYSICIAN, V100, P618
   Parker CL, 2011, AM FAM PHYSICIAN, V84, P271
   Pearce N, 2019, EPIDEMIOLOGY, V30, P311, DOI 10.1097/EDE.0000000000000987
   Phipps R, 2011, NEW ZEAL MED J, V124, P47
   Pongsiri MJ, 2019, LANCET PLANET HEALTH, V3, pE402, DOI 10.1016/S2542-5196(19)30190-1
   Purcell R, 2014, AUST J RURAL HEALTH, V22, P8, DOI 10.1111/ajr.12075
   Rabinowitz PM, 2018, BMJ GLOB HEALTH, V3, DOI 10.1136/bmjgh-2018-001137
   Randolph S, 2008, FUTURE VIROL, V3, P303, DOI 10.2217/17460794.3.4.303
   Rocklöv J, 2014, GLOBAL HEALTH ACTION, V7, P1, DOI 10.3402/gha.v7.26552
   Sankoff J, 2015, AUST FAM PHYSICIAN, V44, P22
   Schaffner F, 2014, LANCET INFECT DIS, V14, P1271, DOI 10.1016/S1473-3099(14)70834-5
   Schütte S, 2018, LANCET PLANET HEALTH, V2, pE58, DOI 10.1016/S2542-5196(18)30004-4
   Sekercioglu ÇH, 2013, TRENDS PARASITOL, V29, P1, DOI 10.1016/j.pt.2012.10.001
   Smith KF, 2014, J R SOC INTERFACE, V11, DOI 10.1098/rsif.2014.0950
   Smith S, 2016, J EPIDEMIOL COMMUN H, V70, P459, DOI 10.1136/jech-2015-206079
   Smith S, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13010132
   Soebiyanto RP, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0134701
   Solomon CG, 2019, NEW ENGL J MED, V380, P209, DOI 10.1056/NEJMp1817067
   Stenberg K, 2019, LANCET GLOB HEALTH, V7, pE1500, DOI 10.1016/S2214-109X(19)30416-4
   Tait W.P., 2018, AUSTR J GEN PRACTITI, V47, P851
   United Nations Environment Programme, 2020, 6 NAT FACTS REL COR
   Valois P, 2016, J CONTIN EDUC HEALTH, V36, P218, DOI 10.1097/CEH.0000000000000084
   van Casteren V., 1993, HLTH SERVICES RES CO, P253
   Vatansever Zati, 2007, P59, DOI 10.1007/978-1-4020-6106-6_6
   Vogel L, 2019, CAN MED ASSOC J, V191, pE346, DOI 10.1503/cmaj.109-5728
   Walker R, 2011, HEALTH PROMOT J AUST, V22, pS6
   Walsh K, 2018, EDUC PRIM CARE, V29, P104, DOI 10.1080/14739879.2017.1389619
   Warby T., 2019, DECLARATION CALLING
   Watts N, 2018, LANCET, V391, P581, DOI 10.1016/S0140-6736(17)32464-9
   Wellbery CE, 2019, AM FAM PHYSICIAN, V100, P602
   Whitmee S, 2015, LANCET, V386, P1973, DOI 10.1016/S0140-6736(15)60901-1
   World Health Organization, 2021, AIR POLLUTION
   World Wide Fund for Nature (WWF), 2010, HUM HLTH LINK DIR FO
   Xie E, 2018, LANCET PLANET HEALTH, V2, pE185, DOI 10.1016/S2542-5196(18)30055-X
   Zickafoose JS, 2011, PUBLIC HEALTH REP, V126, P7, DOI 10.1177/00333549111260S103
NR 94
TC 3
Z9 3
U1 1
U2 10
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1948-4682
J9 WORLD MED HEALTH POL
JI World Med. Health Policy
PD JUN
PY 2021
VL 13
IS 2
BP 199
EP 223
DI 10.1002/wmh3.448
EA JUN 2021
PG 25
WC Public, Environmental & Occupational Health
WE Emerging Sources Citation Index (ESCI)
SC Public, Environmental & Occupational Health
GA SW6DH
UT WOS:000659121900001
DA 2025-01-10
ER

PT J
AU Perlaza-Muriel, JF
   Rivas-Cifuentes, MC
   Escobar, NM
   Osorio-Gómez, JC
AF Perlaza-Muriel, Jeison Fernando
   Rivas-Cifuentes, Maria Camila
   Escobar, Nathaly Martinez
   Osorio-Gomez, Juan Carlos
TI Prospective Environmental Evaluation of Green Hydrogen Generation in the
   Colombian Northern Region Using Wind Energy and System Dynamics
SO MODELLING AND SIMULATION IN ENGINEERING
LA English
DT Article
DE CO2 emissions; energy system; hydrogen production; system dynamics
ID CARBON FOOTPRINT; CONSUMPTION; MODEL
AB With the signing of the Paris Agreement, which aims to limit global warming to 1.5 degrees C by reducing greenhouse gas emissions and promoting climate adaptation, Colombia has demonstrated its commitment to the environment. This aligns with Sustainable Development Goals (SDGs) 7 and 13, which promote the use of sustainable energy and the reduction of CO2 emissions. Colombia's decarbonization strategy, defined in the 2021 hydrogen roadmap, outlines how to implement low-emission hydrogen production to reduce GHG emissions by 2030. Considering Colombia's wind potential, an analysis of hydrogen production in the Department of La Guajira using this renewable energy was conducted. System dynamics was used to represent the hydrogen production infrastructure from wind energy with a polymer electrolyte membrane (PEM) electrolyzer, considering the current and projected capacity of the wind farm. The results obtained from this simulation show a reduction in CO2 emissions compared to the baseline scenario. Five scenarios were explored to analyze the simulation results. The data revealed that from 2022 to 2050, CO2 emissions (kg) were reduced by between 5550 and 10,170. Additionally, the potential for hydrogen generation in the northern region of the country is highlighted, along with recommendations for decision-making related to production capacity.
C1 [Perlaza-Muriel, Jeison Fernando; Rivas-Cifuentes, Maria Camila; Escobar, Nathaly Martinez; Osorio-Gomez, Juan Carlos] Univ Valle, Sch Ind Engn, St 13 100-00, Cali, Colombia.
C3 Universidad del Valle
RP Escobar, NM (corresponding author), Univ Valle, Sch Ind Engn, St 13 100-00, Cali, Colombia.
EM jeison.perlaza@correounivalle.edu.co;
   maria.camila.rivas@correounivalle.edu.co;
   nathaly.martinez.escobar@correounivalle.edu.co;
   juan.osorio@correounivalle.edu.co
RI Osorio-Gomez, Juan/AEL-5218-2022
OI Osorio, Juan Carlos/0000-0001-5625-5609
CR acolgen, Alcogen La matriz de generacion electrica colombiana no. 601
   Altieri M., 2009, Revista de Agroecologia LEISA, V24, P5
   Andres Beatriz., 2016, Modelling in Science Education and Learning, V9, P57, DOI DOI 10.4995/MSEL.2016.3520
   Anisimov A, 2023, REV DIREITO CID, V15, P869, DOI 10.12957/rdc.2023.76724
   [Anonymous], 2018, Corpoguajira Caracteristicas tecnicas de los aerogeneradores ubicados en la guajira
   [Anonymous], United Nations Climate Change Que es el Acuerdo de Paris?
   Aracil J., 1997, Dinmica de Sistemas
   Aracil J., 1995, Dinmica de sistemas
   Arenales J. V., Hay retrasos en 82% de los proyectos de energias renovables ubicados en La Guajira
   Association of Energy Engineers, 2019, Curso Hidrogeno
   Awad M, 2024, ALEX ENG J, V87, P213, DOI 10.1016/j.aej.2023.12.032
   Awad M, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0287772
   Bello MO, 2018, J ENVIRON MANAGE, V219, P218, DOI 10.1016/j.jenvman.2018.04.101
   Benavides Ballesteros O. H., 2007, Instituto de Hidrologa, Meteorologa y Estudios Ambientales-IDEAM
   Benghanem M, 2023, ENERGIES, V16, DOI 10.3390/en16020757
   Cabrera P, 2024, APPL ENERG, V358, DOI 10.1016/j.apenergy.2023.122564
   Castaneda M. P., 2021, Sector electrico colombiano: retos y oportunidades
   Ceballos Mejia C. B., 2021, Jvenes en la Ciencia, V12
   Clean Energy Ideas, Cuanto miden las palas de los aerogeneradores?
   de Bogota A., 2013, Guia Metodologica para el calculo de la Huella de Carbono Corporativa a Nivel Sectorial
   de Leon J. C., El hidrogeno y las pilas de combustible
   Enel Descripcion del mercado de Energia, Asi llega la energia y el gas a tu empresa
   Estrategica E, Los pasos para la construccion exitosa de un parque eolico: secretos tecnicos y comerciales
   Feofilovs M, 2018, ENRGY PROCED, V147, P549, DOI 10.1016/j.egypro.2018.07.070
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Forrester J. W., 1998, Diseando el futuro
   Frohmann A., 2013, Exportaciones Y Estrategias Empresariales Frente Al Cambio Climatico
   Garibaldi L., 2012, Ciencia Hoy, V22, P44
   Golubev VA, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132212919
   Gómez-Navarro T, 2018, RENEW SUST ENERG REV, V90, P131, DOI 10.1016/j.rser.2018.03.015
   Güney T, 2019, INT J SUST DEV WORLD, V26, P389, DOI 10.1080/13504509.2019.1595214
   IDEAM, 2006, Atlas de Viento y Energa Elica de Colombia
   Ignacio J., 2007, El hidrgeno y la energa
   International Energy Agency, 2020, Statistics Report Key World Energy Statistics 2020, DOI [10.1787/295f00f5-en, DOI 10.1787/295F00F5-EN]
   Izquierdo L.R., 2008, Empiria: Revista de Metodologia de Ciencias Sociales, V16, P85
   Jorgenson AK, 2014, ENERG POLICY, V66, P419, DOI 10.1016/j.enpol.2013.11.020
   Jose J., 2016, Desarrollo De La Energia Eolica
   Lopez A., Empieza a funcionar Guajira 1: asi es este nuevo parque eolico
   Ma T, 2010, INT J HYDROGEN ENERG, V35, P3114, DOI 10.1016/j.ijhydene.2009.08.093
   Mingu-Carbonell C. E., 2019, Hombre, Ciencia y Tecnologa, V23, P75
   Ministerio de Minas y Energia, Hoja de Ruta del Hidrogeno en Colombia
   Momodu A. S., 2018, Open Research Africa, V1, DOI [10.12688/aasopenres.12852.2, DOI 10.12688/AASOPENRES.12852.2]
   Mora C, 2022, NAT CLIM CHANGE, V12, P869, DOI 10.1038/s41558-022-01426-1
   Mora S., 2021, LADEE, V2, P32, DOI [10.17981/ladee.02.02.2021.4, DOI 10.17981/LADEE.02.02.2021.4]
   OIM, 2008, Migracion y cambio climatico
   Plata Pinzon J. A., 2021, Colombia en la cadena de valor de la industria elica
   Plazas Nio F., 2023, The Role of Low-Emission Hydrogen in Developing Countries: A Techno-Economic Assessment of Hydrogen Pathways in Colombia, DOI [10.33774/coe-2023-vr3hr, DOI 10.33774/COE-2023-VR3HR]
   Portafolio Colombia, lista a estrenar otra planta eolica en La Guajira
   Sgarbossa F, 2022, INT J PROD ECON, V250, DOI 10.1016/j.ijpe.2022.108712
   Shin J, 2013, ENERG POLICY, V54, P72, DOI 10.1016/j.enpol.2012.10.074
   Smink V., Hidrogeno verde: 6 paises que lideran la produccion de una de las 'energias del futuro' (y cual es el unico latinoamericano)
   Snchez J. J., 2007, System Dynamics models for generation expansion planning in a competitive framework: oligopoly and market power representation
   Solomon S., 2009, Irreversible climate change due to carbon dioxide emissions
   stergaard P. A., 2020, International Journal of Sustainable Energy Planning and Management, V28, P1, DOI [10.5278/ijsepm.5737, DOI 10.5278/IJSEPM.5737]
   Troncoso F. G., 2021, Claves del Hidrogeno verde
   United Nations Climate Change, Ensure access to affordable, reliable, sustainable and modern energy
   United Nations Climate Change, Goal 13: take urgent action to combat climate change and its impacts
   UPME, Generador de consultas
   UPME, Costos Nivelados de Generacion de Electricidad en Colombia
   UPME IDEAM, 2006, Atlas Viento y Energia Eolica de Colombia
   Zhu MX, 2024, SOL ENERGY, V269, DOI 10.1016/j.solener.2024.112312
NR 61
TC 0
Z9 0
U1 0
U2 0
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1687-5591
EI 1687-5605
J9 MOD SIMUL ENG
JI Mod. Simul. Eng.
PD OCT 3
PY 2024
VL 2024
AR 9510646
DI 10.1155/2024/9510646
PG 16
WC Engineering, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Engineering
GA I4Y6F
UT WOS:001330330700001
OA gold
DA 2025-01-10
ER

PT J
AU Fan, Z
   Whitaker, VM
AF Fan, Zhen
   Whitaker, Vance M.
TI Genomic signatures of strawberry domestication and diversification
SO PLANT CELL
LA English
DT Article
ID SNP DATA; FRAGARIA; EVOLUTIONARY; HISTORY; INFERENCE; ADMIXTURE;
   REVEALS; POPULATIONS; CHILOENSIS; VIRGINIANA
AB Cultivated strawberry (Fragaria x ananassa) has a brief history of less than 300 yr, beginning with the hybridization of octoploids Fragaria chiloensis and Fragaria virginiana. Here we explored the genomic signatures of early domestication and subsequent diversification for different climates using whole-genome sequences of 289 wild, heirloom, and modern varieties from two major breeding programs in the United States. Four nonadmixed wild octoploid populations were identified, with recurrent introgression among the sympatric populations. The proportion of F. virginiana ancestry increased by 20% in modern varieties over initial hybrids, and the proportion of F. chiloensis subsp. pacifica rose from 0% to 3.4%. Effective population size rapidly declined during early breeding. Meanwhile, divergent selection for distinct environments reshaped wild allelic origins in 21 out of 28 chromosomes. Overlapping divergent selective sweeps in natural and domesticated populations revealed 16 convergent genomic signatures that may be important for climatic adaptation. Despite 20 breeding cycles since initial hybridization, more than half of loci underlying yield and fruit size are still not under artificial selection. These insights add clarity to the domestication and breeding history of what is now the most widely cultivated fruit in the world.
   Whole-genome sequences of 289 octoploid strawberry samples were used to explore the genomic signatures of domestication and subsequent diversification in different climates.
C1 [Fan, Zhen; Whitaker, Vance M.] Univ Florida, IFAS Gulf Coast Res & Educ Ctr, Hort Sci Dept, Wimauma, FL 33597 USA.
C3 State University System of Florida; University of Florida
RP Whitaker, VM (corresponding author), Univ Florida, IFAS Gulf Coast Res & Educ Ctr, Hort Sci Dept, Wimauma, FL 33597 USA.
EM vwhitaker@ufl.edu
RI Fan, Zhen/KLZ-3577-2024
OI Fan, Zhen/0000-0002-8965-7898
FU Florida Strawberry Research and Education Foundation
FX We thank Dr. Steven Knapp and Dr. Mitchell Feldmann from the University
   of California, Davis for reviewing early versions of the manuscript. We
   thank Dr. Doug Soltis and Dr. Pam Soltis from the University of Florida
   for their advice on the phylogenetic work and review of the manuscript.
   We thank Dr. Nahla Bassil from USDA for providing pictures of wild
   species. We thank the strawberry breeding programs at UCD and UF for
   their assistance in sample collection. We thank UF research computing
   for computational resources and technical assistance and the Florida
   Strawberry Research and Education Foundation for their generous funding.
CR Aharoni A, 2004, PLANT CELL, V16, P3110, DOI 10.1105/tpc.104.023895
   Bird KA, 2021, AM J BOT, V108, P2269, DOI 10.1002/ajb2.1776
   Blischak PD, 2018, SYST BIOL, V67, P821, DOI 10.1093/sysbio/syy023
   Bolosky WJ., 2021, BIORXIV, DOI DOI 10.1101/2021.11.23.469039
   BRINGHURST RS, 1990, HORTSCIENCE, V25, P834, DOI 10.21273/HORTSCI.25.8.834
   BRINGHURST RS, 1980, CALIF AGR, V34, P12
   Browning BL, 2021, AM J HUM GENET, V108, P1880, DOI 10.1016/j.ajhg.2021.08.005
   Cao K, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0415-1
   Cauret CMS, 2022, G3-GENES GENOM GENET, V12, DOI 10.1093/g3journal/jkac139
   Chandler C., 1988, P FLA STATE HORT SOC, V101, P380
   Chen C, 2020, PLANT BIOTECHNOL J, V18, P83, DOI 10.1111/pbi.13173
   Chen H, 2010, GENOME RES, V20, P393, DOI 10.1101/gr.100545.109
   Chifman J, 2014, BIOINFORMATICS, V30, P3317, DOI 10.1093/bioinformatics/btu530
   Cornille A, 2014, TRENDS GENET, V30, P57, DOI 10.1016/j.tig.2013.10.002
   Darrow G. M., 1966, The Strawberry.
   Delaneau O, 2012, NAT METHODS, V9, P179, DOI [10.1038/NMETH.1785, 10.1038/nmeth.1785]
   Diamanti J, 2014, J AGR FOOD CHEM, V62, P3944, DOI 10.1021/jf500708x
   Dillenberger MS, 2018, AM J BOT, V105, P862, DOI 10.1002/ajb2.1085
   Duan EC, 2016, PLANT CELL REP, V35, P1321, DOI 10.1007/s00299-016-1964-4
   Duan NB, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00336-7
   Edger PP, 2019, NAT GENET, V51, P541, DOI 10.1038/s41588-019-0356-4
   EL-Borai F., 2021, EDIS, V2021, DOI [10.32473/edis-hs1411-2021, DOI 10.32473/EDIS-HS1411-2021]
   Fan WS, 2022, NEW PHYTOL, V236, P745, DOI 10.1111/nph.18334
   Fan Z, 2022, NEW PHYTOL, V236, P1089, DOI 10.1111/nph.18416
   Fan Z, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.640704
   FAOSTAT, About us
   Finn CE, 2013, HORTSCIENCE, V48, P418, DOI 10.21273/HORTSCI.48.4.418
   Flowers JM, 2019, P NATL ACAD SCI USA, V116, P1651, DOI 10.1073/pnas.1817453116
   Freitas S, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abi8584
   Gan XL, 2021, GENES-BASEL, V12, DOI 10.3390/genes12121993
   Gaston A, 2020, TRENDS PLANT SCI, V25, P130, DOI 10.1016/j.tplants.2019.10.003
   Gaurav K, 2022, NAT BIOTECHNOL, V40, P422, DOI 10.1038/s41587-021-01058-4
   Gutenkunst RN, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000695
   Hancock JF, 2010, HORTSCIENCE, V45, P1006, DOI 10.21273/HORTSCI.45.7.1006
   Hardigan M A., 2021, bioRxiv 2021.11.03, V2021, P467115, DOI [10.1101/2021.11.03.467115, DOI 10.1101/2021.11.03.467115]
   Hardigan MA, 2021, MOL BIOL EVOL, V38, P2285, DOI 10.1093/molbev/msab024
   Hardigan MA, 2020, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01789
   Harrison RE, 1997, AM J BOT, V84, P612, DOI 10.2307/2445897
   Heslop-Harrison JS, 2007, ANN BOT-LONDON, V100, P1073, DOI 10.1093/aob/mcm191
   Hu YX, 2022, HORTIC RES-ENGLAND, V9, DOI 10.1093/hr/uhab059
   Huang XH, 2012, NATURE, V490, P497, DOI 10.1038/nature11532
   Kamneva OK, 2017, BMC EVOL BIOL, V17, DOI 10.1186/s12862-017-1019-7
   Kokot M, 2017, BIOINFORMATICS, V33, P2759, DOI 10.1093/bioinformatics/btx304
   Lee HE, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.696229
   Liston A, 2014, AM J BOT, V101, P1686, DOI 10.3732/ajb.1400140
   Liu TJ, 2021, HORTIC RES-ENGLAND, V8, DOI 10.1038/s41438-021-00476-4
   Liu Xiaolei, 2016, PLoS Genet, V12, pe1005767, DOI 10.1371/journal.pgen.1005767
   Loh PR, 2013, GENETICS, V193, P1233, DOI 10.1534/genetics.112.147330
   Malinsky M, 2021, MOL ECOL RESOUR, V21, P584, DOI 10.1111/1755-0998.13265
   Maples BK, 2013, AM J HUM GENET, V93, P278, DOI 10.1016/j.ajhg.2013.06.020
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Meyer RS, 2013, NAT REV GENET, V14, P840, DOI 10.1038/nrg3605
   Mezzetti B, 2018, J BERRY RES, V8, P205, DOI 10.3233/JBR-180314
   Minh BQ, 2020, MOL BIOL EVOL, V37, P1530, DOI 10.1093/molbev/msaa015
   Molesini B, 2015, PLANT CELL PHYSIOL, V56, P1084, DOI 10.1093/pcp/pcv030
   Osorio LF, 2021, FRONT GENET, V11, DOI 10.3389/fgene.2020.596258
   Pincot DDA, 2021, G3-GENES GENOM GENET, V11, DOI 10.1093/g3journal/jkab015
   Purugganan MD, 2019, CURR BIOL, V29, pR705, DOI 10.1016/j.cub.2019.05.053
   Qiao Q, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2105431118
   Raj A, 2014, GENETICS, V197, P573, DOI 10.1534/genetics.114.164350
   Rousseau-Gueutin M, 2008, GENETICS, V179, P2045, DOI 10.1534/genetics.107.083840
   Salamone I, 2013, AM J BOT, V100, P939, DOI 10.3732/ajb.1200624
   Samtani JB, 2019, HORTTECHNOLOGY, V29, P11, DOI 10.21273/HORTTECH04135-18
   Santiago E, 2020, MOL BIOL EVOL, V37, P3642, DOI 10.1093/molbev/msaa169
   SJULIN TM, 1987, J AM SOC HORTIC SCI, V112, P375
   Staudt G., 1999, SYSTEMATICS GEOGRAPH
   Sun XP, 2020, NAT GENET, V52, P1423, DOI 10.1038/s41588-020-00723-9
   Tennessen JA, 2018, PLOS BIOL, V16, DOI 10.1371/journal.pbio.2006062
   Tennessen JA, 2014, GENOME BIOL EVOL, V6, P3295, DOI 10.1093/gbe/evu261
   Terhorst Jonathan, 2017, Nat Genet, V49, P303, DOI 10.1038/ng.3748
   Verma S, 2017, ACTA HORTIC, V1156, P75, DOI [10.17660/ActaHortic.2017.1156.10, 10.17660/actahortic.2017.1156.10]
   Wang BB, 2020, NAT GENET, V52, P565, DOI 10.1038/s41588-020-0616-3
   Wang JB, 2021, GENOM PROTEOM BIOINF, V19, P629, DOI 10.1016/j.gpb.2021.08.005
   Wang K, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq603
   Whitaker VM, 2017, HORTSCIENCE, V52, P1443, DOI 10.21273/HORTSCI12281-17
   Whitaker VM, 2013, INT J FRUIT SCI, V13, P246, DOI 10.1080/15538362.2012.698183
   Wu GA, 2014, NAT BIOTECHNOL, V32, P656, DOI 10.1038/nbt.2906
   Wu GA, 2018, NATURE, V554, P311, DOI 10.1038/nature25447
   Zheng XW, 2012, BIOINFORMATICS, V28, P3326, DOI 10.1093/bioinformatics/bts606
NR 79
TC 8
Z9 8
U1 5
U2 24
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 1040-4651
EI 1532-298X
J9 PLANT CELL
JI Plant Cell
PD MAY 1
PY 2024
VL 36
IS 5
BP 1622
EP 1636
DI 10.1093/plcell/koad314
EA DEC 2023
PG 15
WC Biochemistry & Molecular Biology; Plant Sciences; Cell Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Plant Sciences; Cell Biology
GA TG5M0
UT WOS:001132590600001
PM 38113879
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Zang, HY
   Hsieh, CM
   Cang, Y
   Gu, MY
AF Zang, Hui Yi
   Hsieh, Chun-Ming
   Cang, Yun
   Gu, Mengying
TI Microclimate adaptability analysis of waterfront traditional villages: a
   case study of Mingyuewan Village in Suzhou
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE computational fluid dynamics (CFD); microclimate; spatial syntax;
   thermal comfort; traditional villages
ID HIGH-DENSITY CITIES; WIND ENVIRONMENT; CFD; SIMULATION; DESIGN
AB Traditional villages are human beings adapting to the natural environment and spontaneously forming a living environment in the process of their evolution. However, with the frequent occurrence of harsh weather in recent years, the livability of traditional villages is also facing challenges. In order to improve the climatic adaptability of traditional villages, scholars have proposed many methods, but there is a lack of research on the spatial microclimate adaptation of traditional villages based on the perspective of spatial accessibility. This paper selects typical traditional villages in the Taihu Lake Basin, analyzes spatial accessibility and CFD numerical simulation comfort by spatial syntax from the two levels of village and iconic nodes, and discusses the correlation between spatial accessibility and climate comfort. Also, the study concludes the following: (1) The overall integration degree of Mingyuewan Village is not high, and the overall accessibility is poor. (2) The correlation between wind environment and spatial accessibility is weak. The thermal environment is associated with spatial accessibility. Comfort is strongly correlated with the degree of spatial accessibility. This paper proposes to consider the lake surface to dominate the seasonal wind, reserve windward outlets, and add green plants and shade facilities in green public open spaces.
C1 [Zang, Hui Yi] City Univ Macau, Macau, Peoples R China.
   [Zang, Hui Yi] Yancheng Teachers Univ, Yancheng, Peoples R China.
   [Zang, Hui Yi] Yancheng Inst Urban Rural Integrat Dev, Yancheng, Peoples R China.
   [Hsieh, Chun-Ming; Gu, Mengying] City Univ Macau, Fac Innovat & Design, Macau, Peoples R China.
   [Cang, Yun] Yancheng Polytech Coll, Yancheng, Peoples R China.
C3 City University of Macau; Yancheng Teachers University; City University
   of Macau
RP Hsieh, CM (corresponding author), City Univ Macau, Fac Innovat & Design, Macau, Peoples R China.
EM chunming@cityu.mo
FU Science and Technology Development Fund [00057/2022/A]
FX ACKNOWLEDGEMENTS This study was supported by the Science and Technology
   Development Fund (00057/2022/A) of Macau.
CR Barreca F, 2022, CIV ENG J-TEHRAN, V8, P2336, DOI 10.28991/CEJ-2022-08-10-020
   Blocken B, 2015, BUILD ENVIRON, V91, P219, DOI 10.1016/j.buildenv.2015.02.015
   [陈驰 Chen Chi], 2018, [经济地理, Economic Geography], V38, P234
   Chu YC, 2017, J ASIAN ARCHIT BUILD, V16, P463, DOI 10.3130/jaabe.16.463
   Doi R., 2022, EMERG SCI J, V6, P1346, DOI [10.28991/ESJ-2022-06-06-08, DOI 10.28991/ESJ-2022-06-06-08]
   Fu C.-W., 2019, J. Urban Plan, V3, P81
   Gagge A.P., 1971, ASHRAE Transactions, V77, P247
   Gagge AP., 1972, Memoirs of the Faculty of Engineering, Hokkaido University, V13, P21
   Guo W., 2021, W J HUMAN SETTLEMENT, V36, P134
   Hillier B., 2007, SPACE IS MACHINE CON
   Hsieh CM, 2023, J URBAN PLAN DEV, V149, DOI 10.1061/JUPDDM.UPENG-3923
   Hsieh CM, 2016, URBAN FOR URBAN GREE, V18, P126, DOI 10.1016/j.ufug.2016.05.006
   Jin Q. Z., 2022, J GUILIN U TECHNOLOG, P1
   Junmin X., 2012, URBAN PLAN, V39
   Li S., 2022, W J HUMAN SETTLEMENT, V37, P139
   Liu H., 2022, CHANG LIUYU ZIYUAN Y, V31, P59
   Liu J., 2009, RES INDOOR THERMAL E
   [刘冉倩 Liu Ranqian], 2021, [中国园林, Chinese Landscape Architecture], V37, P104
   Liu Y., 2017, RESOURCES DEV MARKET, V33, P1289
   Lynch Kevin, 1960, The Image of the City
   Ma K, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020368
   Mochida A, 2008, J WIND ENG IND AEROD, V96, P1498, DOI 10.1016/j.jweia.2008.02.033
   Musa HH, 2022, CIV ENG J-TEHRAN, V8, P951, DOI 10.28991/CEJ-2022-08-05-08
   Qi L., 2018, Chin. Landsc. Archit, V34, P34
   Sun B., 2021, HUMAN THERMAL COMFOR
   [孙武 Sun Wu], 2021, [生态学报, Acta Ecologica Sinica], V41, P2632
   Tang L, 2012, ENERG BUILDINGS, V55, P601, DOI 10.1016/j.enbuild.2012.09.025
   Vu VL, 2019, J ENVIRON PROT ECOL, V20, pS672
   Wang G., 2021, SO ARCHITECTURE, V03, P122
   [王凯 Wang Kai], 2019, [生态学报, Acta Ecologica Sinica], V39, P6051
   Wu KL, 2017, APPL ECOL ENV RES, V15, P1815, DOI 10.15666/aeer/1504_18151831
   Xu H., 2016, Modern Urban Research, V1, P24
   Yan Bowen, 2021, Journal of Hunan University (Natural Sciences), P61, DOI 10.16339/j.cnki.hdxbzkb.2021.11.007
   Yao XB, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18168644
   Yuan C, 2014, URBAN CLIM, V8, P57, DOI 10.1016/j.uclim.2013.12.001
   Yuan C, 2012, BUILD ENVIRON, V50, P176, DOI 10.1016/j.buildenv.2011.10.023
   Zeng S., 2019, ARCHITECTS J, V2, P24
   Zeng ZW, 2017, PROCEDIA ENGINEER, V205, P2011, DOI 10.1016/j.proeng.2017.10.074
   [张楠 Zhang Nan], 2019, [地域研究与开发, Areal Research and Development], V38, P111
   [张松梅 Zhang S M], 2019, [全球变化数据学报, Journal of Global Change Data & Discovery], V3, P101
   Zhang Z. L., 2020, URBAN DEV RES, V27, P1, DOI [https://doi.org/10.3969/j.issn.1006-3862.2020.12.009, DOI 10.3969/J.ISSN.1006-3862.2020.12.009]
   Zhao W., 2021, Planners, V37, P50
NR 42
TC 4
Z9 4
U1 29
U2 76
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 SEP
PY 2023
VL 14
IS 9
BP 3329
EP 3344
DI 10.2166/wcc.2023.415
EA AUG 2023
PG 16
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA S6RM9
UT WOS:001046089000001
OA gold
DA 2025-01-10
ER

PT J
AU Zhou, XF
   Zhang, S
   Liu, YF
   Zhou, QS
   Wu, BP
   Gao, YC
   Zhang, TT
AF Zhou, Xuefan
   Zhang, Shuai
   Liu, Yingfei
   Zhou, Qingshi
   Wu, Biaoping
   Gao, Yuchen
   Zhang, Tiantian
TI Impact of urban morphology on the microclimatic regulation of water
   bodies on waterfront in summer: A case study of Wuhan
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Urban morphology; Urban waterfront space; Water bodies? cooling effect;
   WRF-UCM; National urban database and access portal tool; (NUDAPT)
ID PEDESTRIAN LEVEL; AIR-TEMPERATURE; ENVIRONMENT; LAKE; GEOMETRY; RIVER;
   MODEL; PARK
AB Urban water bodies reduce urban heat through evaporation and transfer of sensible heat. However, today's highly intense urban construction patterns cause poor urban air mobility and excessive residual heat accumulation, and weaken water bodies' regulating effects. This study examines the relationship between urban morphology and water bodies' microclimatic regulation during summer in the water-network city, Wuhan, using remote sensing data and the weather research and forecasting (WRF). This study found (1) on the waterfront, the key impact indicators for microclimate in the waterfront are building density (BD) and floor area ratio (FAR), both of which can lead to higher temperatures and lower humidity, (2) BD significantly warmed the waterfront on the large lakes, while FAR impacted the urban main windway areas, (3) urban development with high FAR significantly suppressed the water's cooling ability in the downtown and main windway areas, with the cooling intensity decreased by 28.7% and 20.6%, respectively, and the cooling distance decreased by 13.5% and 15%. These findings provide insights for the practice of climate adaptive planning and design on the water networkrelated urban areas of Wuhan and other places with similar environments.
C1 [Zhou, Xuefan; Zhang, Shuai; Zhou, Qingshi; Wu, Biaoping; Gao, Yuchen; Zhang, Tiantian] Huazhong Univ Sci & Technol, Sch Architecture & Urban Planning, Wuhan, Peoples R China.
   [Liu, Yingfei] Wuhan Land Use & Urban Spatial Planning Res Ctr, Wuhan, Peoples R China.
C3 Huazhong University of Science & Technology
RP Liu, YF (corresponding author), Wuhan Land Use & Urban Spatial Planning Res Ctr, Wuhan, Peoples R China.
EM xuefanzhou@hust.edu.cn; m202073605@hust.edu.cn; liuyingfei@wlsp.org.cn;
   u201714963@hust.edu.cn; u201714930@hust.edu.cn; m202177085@hust.edu.cn;
   m202173921@hust.edu.cn
RI zhang, tiantian/AIE-2834-2022; Zhou, Xuefan/AAY-4096-2021
FU National Natural Science Fund Youth Project; Independent Innovation Fund
   of Huazhong University of Science and Technology;  [51708237]; 
   [2172019kfyXKJC057]
FX This work was supported by the National Natural Science Fund Youth
   Project (Grant No. 51708237) and the Independent Innovation Fund of
   Huazhong University of Science and Technology (Grant No.
   2172019kfyXKJC057) . In addition, we would like to thank Editage (
   www.editage.cn) for English language editing.
CR Algretawee H, 2022, URBAN CLIM, V45, DOI 10.1016/j.uclim.2022.101255
   [Anonymous], 1947, COMMENTS SEA BREEZE
   [Anonymous], BAIDU MAPS
   [Anonymous], GLOBALAND30 DATASET
   Cao Q, 2021, BUILD ENVIRON, V192, DOI 10.1016/j.buildenv.2021.107635
   Chae Y.P., 2019, LANDSCAPE URBAN PLAN, V183
   Chen Y., 2020, CENT CHINA ARCHITECT, V38, P22
   Chi-Ru C., 2006, LANDSCAPE URBAN PLAN, V80
   China Meteorological Administration, About us
   Conigliaro E, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100831
   Daewuk K., 2014, J ENV PROTECT, V5
   Du H., 2018, MEGA CITIES ITS INFL, P180
   EDINGER JE, 1968, WATER RESOUR RES, V4, P1137, DOI 10.1029/WR004i005p01137
   Edmilson D.F., 2007, BOUND-LAY METEOROL, V122
   Eric A.H., 2021, MON WEATHER REV, V149
   Fu P, 2016, REMOTE SENS ENVIRON, V184, P175, DOI 10.1016/j.rse.2016.06.019
   Golnoosh M., 2015, MOD APPL SCI, V9
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Hathway EA, 2012, BUILD ENVIRON, V58, P14, DOI 10.1016/j.buildenv.2012.06.013
   Huang X, 2019, ISPRS J PHOTOGRAMM, V152, P119, DOI 10.1016/j.isprsjprs.2019.04.010
   Hubei Meteorological Bureau, About us
   Hurtado E, 1996, INT J REMOTE SENS, V17, P237, DOI 10.1080/01431169608949002
   Imhoff ML, 2010, REMOTE SENS ENVIRON, V114, P504, DOI 10.1016/j.rse.2009.10.008
   Jaganmohan M, 2016, J ENVIRON QUAL, V45, P134, DOI 10.2134/jeq2015.01.0062
   Jamei E, 2016, RENEW SUST ENERG REV, V54, P1002, DOI 10.1016/j.rser.2015.10.104
   Ji P., 2019, J HEILONGJIANG BAYI, V31
   Jiang L, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102835
   KATAYAMA T, 1991, ENERG BUILDINGS, V16, P973, DOI 10.1016/0378-7788(91)90092-H
   Konarska J, 2016, INT J CLIMATOL, V36, P2379, DOI 10.1002/joc.4502
   Kusaka H, 2004, J METEOROL SOC JPN, V82, P67, DOI 10.2151/jmsj.82.67
   Lan YL, 2017, BUILD ENVIRON, V125, P88, DOI 10.1016/j.buildenv.2017.08.046
   Li S., 2008, ATMOS SCI, P552
   Lin WQ, 2015, LANDSCAPE URBAN PLAN, V134, P66, DOI 10.1016/j.landurbplan.2014.10.012
   [刘呈威 Liu Chengwei], 2019, [中国环境科学, China Environmental Science], V39, P1890
   Lu YP, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103070
   Martin E.C., 2001, GEOGR ENV MODEL, V5
   Mochida A, 2008, J WIND ENG IND AEROD, V96, P1498, DOI 10.1016/j.jweia.2008.02.033
   MURAKAWA S, 1991, ENERG BUILDINGS, V16, P993, DOI 10.1016/0378-7788(91)90094-J
   Neha G., 2019, J REMOTE SENS SPACE, V22
   O'Loughlin J, 2012, P NATL ACAD SCI USA, V109, P18344, DOI 10.1073/pnas.1205130109
   Qin H., 2015, SCI TECHNOL ENG, V15, P193
   Ranhao S., 2012, LANDSCAPE URBAN PLAN, V105
   Ren X., 2017, J METEOROL, V75, P645
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Ruiz MA, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103681
   Saaroni H, 2003, INT J BIOMETEOROL, V47, P156, DOI 10.1007/s00484-003-0161-7
   Song X., 2016, RES INFLUENCE URBAN, P156
   Sun RH, 2012, ECOL INDIC, V20, P57, DOI 10.1016/j.ecolind.2012.02.006
   Tominaga Y, 2015, SUSTAIN CITIES SOC, V19, P259, DOI 10.1016/j.scs.2015.03.011
   Turkbeyler E, 2012, INT J VENT, V11, P17
   United States Geological Survey, 2011, USGS
   Vidrih B, 2013, URBAN FOR URBAN GREE, V12, P220, DOI 10.1016/j.ufug.2013.01.002
   Wang H., 1991, J METEOROL SCI, P233
   William J.M., 1967, LAKE BREEZE E SHORE
   Wu JS, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106699
   Xiang S., 2020, URBAN URBAN GREE, V55
   Xiao R, 2022, SCI TOTAL ENVIRON, V821, DOI 10.1016/j.scitotenv.2022.153381
   Xie QJ, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100932
   Xue XY, 2022, SCI TOTAL ENVIRON, V843, DOI 10.1016/j.scitotenv.2022.156829
   Yao X, 2022, SUSTAIN CITIES SOC, V82, DOI 10.1016/j.scs.2022.103902
   Yu K, 2020, SCI TOTAL ENVIRON, V727, DOI 10.1016/j.scitotenv.2020.138750
   Yue Y., 2017, 2017 CHINA ANN URBAN, P15
   Zeng ZW, 2017, PROCEDIA ENGINEER, V205, P2034, DOI 10.1016/j.proeng.2017.10.082
   Zhang L, 2017, ADV ATMOS SCI, V34, P226, DOI 10.1007/s00376-016-6099-6
   Zhang Q, 2022, BUILD ENVIRON, V222, DOI 10.1016/j.buildenv.2022.109375
   Zhang X, 2020, BUILD ENVIRON, V182, DOI 10.1016/j.buildenv.2020.107109
   Zhou XF, 2018, SCI TOTAL ENVIRON, V635, P1467, DOI 10.1016/j.scitotenv.2018.04.091
   Zhou YY, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100969
   Zhu D, 2022, BUILD ENVIRON, V225, DOI 10.1016/j.buildenv.2022.109528
NR 69
TC 11
Z9 11
U1 16
U2 89
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 DEC
PY 2022
VL 226
AR 109720
DI 10.1016/j.buildenv.2022.109720
EA NOV 2022
PG 14
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA 6F9PE
UT WOS:000884391800001
DA 2025-01-10
ER

PT J
AU Lloret, A
   Quesada-Traver, C
   Conejero, A
   Arbona, V
   Gómez-Mena, C
   Petri, C
   Sánchez-Navarro, JA
   Zuriaga, E
   Leida, C
   Badenes, ML
   Ríos, G
AF Lloret, Alba
   Quesada-Traver, Carles
   Conejero, Ana
   Arbona, Vicent
   Gomez-Mena, Concepcion
   Petri, Cesar
   Sanchez-Navarro, Jesus A.
   Zuriaga, Elena
   Leida, Carmen
   Luisa Badenes, Maria
   Rios, Gabino
TI Regulatory circuits involving bud dormancy factor <i>PpeDAM6</i>
SO HORTICULTURE RESEARCH
LA English
DT Article
ID PEAR PYRUS-PYRIFOLIA; MADS-BOX GENES; PRUNUS-PERSICA; ABSCISIC-ACID;
   RELEASE; EXPRESSION; CYTOKININ; GROWTH; SHOOT; ABA
AB DORMANCY-ASSOCIATED MADS-BOX (DAM) genes have recently emerged as key potential regulators of the dormancy cycle and climate adaptation in perennial species. Particularly, PpeDAM6 has been proposed to act as a major repressor of bud dormancy release and bud break in peach (Prunus persica). PpeDAM6 expression is downregulated concomitantly with the perception of a given genotype-dependent accumulation of winter chilling time, and the coincident enrichment in H3K27me3 chromatin modification at a specific genomic region. We have identified three peach BASIC PENTACYSTEINE PROTEINs (PpeBPCs) interacting with two GA-repeat motifs present in this H3K27me3-enriched region. Moreover, PpeBPC1 represses PpeDAM6 promoter activity by transient expression experiments. On the other hand, the heterologous overexpression of PpeDAM6 in European plum (Prunus domestica) alters plant vegetative growth, resulting in dwarf plants tending toward shoot meristem collapse. These alterations in vegetative growth of transgenic lines associate with impaired hormone homeostasis due to the modulation of genes involved in jasmonic acid, cytokinin, abscisic acid, and gibberellin pathways, and the downregulation of shoot meristem factors, specifically in transgenic leaf and apical tissues. The expression of many of these genes is also modified in flower buds of peach concomitantly with PpeDAM6 downregulation, which suggests a role of hormone homeostasis mechanisms in PpeDAM6-dependent maintenance of floral bud dormancy and growth repression.
C1 [Lloret, Alba; Quesada-Traver, Carles; Conejero, Ana; Zuriaga, Elena; Leida, Carmen; Luisa Badenes, Maria; Rios, Gabino] Inst Valenciano Invest Agr, Valencia 46113, Spain.
   [Arbona, Vicent] Univ Jaume 1, Dept Ciencies Agr & Medi Nat, Castellon de La Plana, Spain.
   [Gomez-Mena, Concepcion; Sanchez-Navarro, Jesus A.] Univ Politecn Valencia, Consejo Super Invest Cient, Inst Biol Mol & Celular Plantas, Valencia 46022, Spain.
   [Petri, Cesar] HSM UMA CSIC, Dept Fruticultura Subtrop & Mediterranea, Ave Dr Wenberg S-N, Malaga 29750, Spain.
C3 Instituto Valenciano de Investigaciones Agrarias (IVIA); Universitat
   Jaume I; Consejo Superior de Investigaciones Cientificas (CSIC);
   Universitat Politecnica de Valencia; CSIC-UPV - Instituto de Biologia
   Molecular y Celular de Plantas (IBMCP)
RP Ríos, G (corresponding author), Inst Valenciano Invest Agr, Valencia 46113, Spain.
EM rios_gab@gva.es
RI Lloret, Alba/ABC-3662-2021; Zuriaga, Elena/C-6985-2015; Petri,
   Cesar/AAP-7409-2021; Gómez-Mena, Concepción/AAE-4916-2020; Arbona,
   Vicent/K-1748-2015; Badenes, Maria/C-6606-2014; Rios,
   Gabino/F-4046-2011; Sanchez-Navarro, Jesus Angel/K-8787-2014
OI Gomez-Mena, Concepcion/0000-0002-1272-3631; Rios,
   Gabino/0000-0002-1398-282X; Quesada Traver, Carles/0000-0002-5880-7902;
   Lloret, Alba/0000-0001-8444-2217; Sanchez-Navarro, Jesus
   Angel/0000-0002-3320-2827
FU Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria
   (INIA)-FEDER [RTA2013-00026-C03-01, RTA2017-00011-C03-01]; Ministerio de
   Ciencia (Spanish Government); European Social Fund; IVIA
FX This research was funded by Instituto Nacional de Investigacion y
   Tecnologia Agraria y Alimentaria (INIA)-FEDER (RTA2013-00026-C03-01,
   RTA2017-00011-C03-01). A. L. was funded by a fellowship from Ministerio
   de Ciencia (Spanish Government). C. Q.-T. was funded by a fellowship
   co-financed by the European Social Fund and the IVIA.
CR Acosta IF, 2019, PLANT CELL PHYSIOL, V60, P2648, DOI 10.1093/pcp/pcz201
   Bartrina I, 2011, PLANT CELL, V23, P69, DOI 10.1105/tpc.110.079079
   Ben-Nissan G, 2004, PLANT J, V37, P229, DOI 10.1046/j.1365-313X.2003.01950.x
   Bielenberg DG, 2008, TREE GENET GENOMES, V4, P495, DOI 10.1007/s11295-007-0126-9
   Cai BH, 2019, ACTA PHYSIOL PLANT, V41, DOI 10.1007/s11738-019-2876-z
   Conde D, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00412
   Cooke JEK, 2012, PLANT CELL ENVIRON, V35, P1707, DOI 10.1111/j.1365-3040.2012.02552.x
   Corot A, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01724
   Coville FV, 1920, P NATL ACAD SCI USA, V6, P434, DOI 10.1073/pnas.6.7.434
   Davidson NM, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0410-6
   de la Fuente L, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-015-0869-7
   Doyle JJ., 1987, PHYTOCHEM BULLET, V19, P11
   Falavigna VDS, 2019, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01990
   Falavigna VD, 2014, PLANT MOL BIOL REP, V32, P796, DOI 10.1007/s11105-013-0690-0
   Ferguson BJ, 2009, PLANT PHYSIOL, V149, P1929, DOI 10.1104/pp.109.135475
   Gambino G, 2008, PHYTOCHEM ANALYSIS, V19, P520, DOI 10.1002/pca.1078
   Grabherr MG, 2011, NAT BIOTECHNOL, V29, P644, DOI 10.1038/nbt.1883
   Hecker A, 2015, PLANT PHYSIOL, V168, P130, DOI 10.1104/pp.15.00409
   Heide OM, 2005, TREE PHYSIOL, V25, P109, DOI 10.1093/treephys/25.1.109
   Horvath DP, 2010, PLANT MOL BIOL, V73, P169, DOI 10.1007/s11103-009-9596-5
   Hu YR, 2013, PLANT CELL, V25, P2907, DOI 10.1105/tpc.113.112631
   Ito A, 2021, TREE PHYSIOL, V41, P529, DOI 10.1093/treephys/tpz101
   Juvany M, 2015, TREES-STRUCT FUNCT, V29, P1781, DOI 10.1007/s00468-015-1259-3
   Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
   LAEMMLI UK, 1970, NATURE, V227, P680, DOI 10.1038/227680a0
   Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
   Larkin MA, 2007, BIOINFORMATICS, V23, P2947, DOI 10.1093/bioinformatics/btm404
   Leida C, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035777
   Leida C, 2012, NEW PHYTOL, V193, P67, DOI 10.1111/j.1469-8137.2011.03863.x
   Leida C, 2010, TREE PHYSIOL, V30, P655, DOI 10.1093/treephys/tpq008
   Li B, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-323
   Liu JY, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01136
   Lloret A, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01368
   Lloret A, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-00471-7
   Meister RJ, 2004, PLANT J, V37, P426, DOI 10.1046/j.1365-313X.2003.01971.x
   Moser M, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.01003
   Mu Y, 2017, PLANT CELL PHYSIOL, V58, P607, DOI 10.1093/pcp/pcx006
   Niu QF, 2016, J EXP BOT, V67, P239, DOI 10.1093/jxb/erv454
   Noriega X, 2017, J PLANT GROWTH REGUL, V36, P814, DOI 10.1007/s00344-017-9685-7
   OBRIEN TP, 1964, PROTOPLASMA, V59, P368, DOI 10.1007/BF01248568
   Padilla IMG, 2003, PLANT CELL REP, V22, P38, DOI 10.1007/s00299-003-0648-z
   Petri C, 2008, MOL BREEDING, V22, P581, DOI 10.1007/s11032-008-9200-8
   Tuan PA, 2017, PLANT CELL PHYSIOL, V58, P1378, DOI 10.1093/pcp/pcx074
   Qu J, 2016, PLANT SCI, V246, P1, DOI 10.1016/j.plantsci.2016.01.009
   Quesada-Traver C, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.01288
   Raza A, 2021, PLANT CELL REP, V40, P1513, DOI 10.1007/s00299-020-02614-z
   Rinne PLH, 2011, PLANT CELL, V23, P130, DOI 10.1105/tpc.110.081307
   Ríos G, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00247
   Ríos G, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-40
   Rohde A, 2002, PLANT CELL, V14, P1885, DOI 10.1105/tpc.003186
   Saito T, 2015, PLANT CELL ENVIRON, V38, P1157, DOI 10.1111/pce.12469
   Santi L, 2003, PLANT J, V34, P813, DOI 10.1046/j.1365-313X.2003.01767.x
   Sasaki R, 2011, PLANT PHYSIOL, V157, P485, DOI 10.1104/pp.111.181982
   Simonini S, 2012, PLANT CELL, V24, P4163, DOI 10.1105/tpc.112.103952
   Singh RK, 2017, NEW PHYTOL, V213, P511, DOI 10.1111/nph.14346
   Suttle JC, 2011, AM J POTATO RES, V88, P283, DOI 10.1007/s12230-011-9192-5
   Talavera G, 2007, SYST BIOL, V56, P564, DOI 10.1080/10635150701472164
   Theune ML, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00466
   Tylewicz S, 2018, SCIENCE, V360, P212, DOI 10.1126/science.aan8576
   Ubi BE, 2010, J AM SOC HORTIC SCI, V135, P174, DOI 10.21273/JASHS.135.2.174
   Verde I, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-017-3606-9
   Vimont N, 2020, TREE GENET GENOMES, V16, DOI 10.1007/s11295-019-1395-9
   Wang DL, 2016, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.01248
   Wen LH, 2016, J HORTIC SCI BIOTECH, V91, P362, DOI 10.1080/14620316.2016.1160546
   Werner T, 2003, PLANT CELL, V15, P2532, DOI 10.1105/tpc.014928
   Wu RM, 2017, FRONT PLANT SCI, V8, DOI [10.3389/fpls.2017.00477, 10.3389/fpsyg.2017.00843]
   Xie C, 2011, NUCLEIC ACIDS RES, V39, pW316, DOI 10.1093/nar/gkr483
   Yamane H, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0214788
   Yang QS, 2020, PLANT CELL ENVIRON, V43, P1360, DOI 10.1111/pce.13744
   Yang QS, 2019, ENVIRON EXP BOT, V162, P302, DOI 10.1016/j.envexpbot.2019.03.008
   Zhao K, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-22537-w
   Zheng CL, 2018, J EXP BOT, V69, P1635, DOI 10.1093/jxb/ery022
   Zheng CL, 2015, J EXP BOT, V66, P1527, DOI 10.1093/jxb/eru519
   Zhong CM, 2015, PLANT PHYSIOL, V169, P2288, DOI 10.1104/pp.15.00858
   Zhu H, 2020, HORTIC RES-ENGLAND, V7, DOI 10.1038/s41438-020-0336-y
NR 75
TC 15
Z9 15
U1 3
U2 32
PU NANJING AGRICULTURAL UNIV
PI NANJING
PA NO 1 WEIGANG, NANJING, JIANGSU 210095, PEOPLES R CHINA
SN 2662-6810
EI 2052-7276
J9 HORTIC RES-ENGLAND
JI Hortic. Res.-England
PD DEC
PY 2021
VL 8
IS 1
AR 261
DI 10.1038/s41438-021-00706-9
PG 18
WC Plant Sciences; Genetics & Heredity; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Genetics & Heredity; Agriculture
GA XF7KD
UT WOS:000724245900018
PM 34848702
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Sauer, A
   Stiess, I
AF Sauer, Arn
   Stiess, Immanuel
TI Accounting for gender in climate policy advice: adapting a gender impact
   assessment tool to issues of climate change
SO IMPACT ASSESSMENT AND PROJECT APPRAISAL
LA English
DT Article
DE Sex and gender analysis; policy analysis; climate protection; climate
   adaptation; equality governance; gender dimensions
AB This article discusses how gender impact assessment (GIA) can be adapted and utilised to better include gender aspects in climate policy advice. The article explains the re-modelling of the equality governance tool gender impact assessment in the context of climate change and adaptation policies, programmes and projects on behalf of the German Environment Agency. While the focus of the tool remains on women and men, it operates with an intersectional and non-binary gender+ concept and understanding of sex and gender relations. The main novelties of the tool are its evidence-based educational elements and that it encompasses seven gender dimensions addressing the main areas of life that play critical roles in producing and reproducing gender disparities. This allows for the identification of how climate policies interact with gender relations and can make substantial contributions to gender equality, as well as of areas in which addressing gender issues could render climate policies more effective. Drawing on the case of the GIA tool in Germany, we argue that core insights gained during the tool development and testing can be applied to gender mainstreaming strategies of climate policies and interventions in other jurisdictions, as well as holding potential for adoption in other policy domains.
C1 [Sauer, Arn] German Environm Agcy, Umweltbundesamt UBA, Gender Mainstreaming, Dessau Rosslau, Germany.
   [Stiess, Immanuel] Inst Social Ecol Res, Res Unit Energy & Climate Protect Everyday Life, Frankfurt, Germany.
RP Sauer, A (corresponding author), UBA German Environm Agcy, Umweltbundesamt UBA, German Environm Agcy, Gender Mainstreaming, Worlitzer Pl 1, D-06844 Dessau Rosslau, Germany.
EM arn.sauer@uba.de
FU German Environment Agency (UBA) [3716 41 1190]
FX This article is based on the research project 'Interdependent Gender
   Aspects of Climate Policy' (UBA Texts 30/2020) funded by the German
   Environment Agency (UBA) under grant no. 3716 41 1190 and contracted to
   the consortium Wuppertal Institute, Institute for Social-Ecological
   Research and GenderCC. The writing of this article was not part of the
   project and was conducted without funding/no grants were received.
CR Adusei-Asante Kwadwo., 2018, 38 ANN C INT ASS IMP
   Alber Gotelind., 2011, GENDER ANAL POLICY I
   [Anonymous], 2011, ENCY ENV HLTH
   [Anonymous], 2012, GESCHLECHT MACHT KLI
   [Anonymous], 2012, GENDER EQUALITY CLIM
   [Anonymous], 2010, GENDER CLIMATE CHANG, DOI DOI 10.4324/9781849775274
   [Anonymous], 2018, GENDERGERECHTIGKEIT
   [Anonymous], 2020, UN Sustainable Development Goals
   [Anonymous], 2009, CONCEPTUAL FRAMEWORK
   [Anonymous], 1997, Report of the Economic and Social Council for 1997
   [BMFSFJ] Federal Ministry for Family Affairs Senior Citizens Women and Youth, 2007, WORK AID GEND IMP AS WORK AID GEND IMP AS
   [BMU] Bundesministerium fur Umwelt Naturschutz und Reaktorsicherheit, 2002, CHECKLISTE
   Carroll Barbara., 2020, ENV IMPACT ASSESSMEN
   Crenshaw K., 1989, UNIV CHICAGO LEG FOR, V14, P538
   D'Ippoliti D, 2010, ENVIRON HEALTH-GLOB, V9, DOI 10.1186/1476-069X-9-37
   Deborah LevacLeah;StinsonJane;ManningSusanM;Stienstra., 2021, IMPACT ASSESS PROJEC, V39, P218, DOI [10.1080/14615517.2021.1906152, DOI 10.1080/14615517.2021.1906152]
   Dunlop C.A., 2016, Handbook of regulatory impact assessment
   Dunlop CA, 2012, REGUL GOV, V6, P23, DOI 10.1111/j.1748-5991.2011.01123.x
   EIGE, 2019, GENDER EQUALITY INDE, DOI [10.2839/001770, DOI 10.2839/001770]
   Gains F., 2016, Handbook of Regulatory Impact Assessment, P142
   Geneletti Davide., 2016, Handbook on Biodiversity and Ecosystem Services in Impact Assessment
   Gotzmann N., 2016, HUMAN RIGHTS IMPACT
   Gotzmann N., 2019, Handbook on Human Rights Impact Assessment Edward Elgar Publishing
   Grothmann Torsten., UMWELTBUNDESAMTKOMPA
   Hankivsky O., 2019, The Palgrave Handbook of Intersectionality in Public Policy. The Politics of Intersectionality, P1, DOI [DOI 10.1007/978-3-319-98473-5, 10.1007/978-3-319-98473-51, DOI 10.1007/978-3-319-98473-5_1]
   Hayn Doris, 2002, GENDER IMPACT ASSESS
   Heesch KC, 2012, INT J BEHAV NUTR PHY, V9, DOI 10.1186/1479-5868-9-106
   Hertin J, 2009, ENVIRON PLANN A, V41, P1185, DOI 10.1068/a40266
   Hummel D, 2017, ROUT INT HANDB, P186
   [IAIA] International Association for Impact Assessment, 2020, IAIA
   Israel A.L., 2013, RES ACTION POLICY AD
   Lewalter Sandra., 2013, GENDER VERWALTUNGSWI
   Lombardo E, 2017, J WOMEN POLIT POLICY, V38, P1, DOI 10.1080/1554477X.2016.1198206
   Maduekwe Monica; Factor Ana Gabriela, 2021, IMPACT ASSESS PROJEC, V39, P251, DOI [10.1080/14615517.2021.1904711, DOI 10.1080/14615517.2021.1904711]
   Nicholas GotzmannNora;Bainton., 2021, IMPACT ASSESS PROJEC, V39, P171, DOI [10.1080/14615517.2021.1904721, DOI 10.1080/14615517.2021.1904721]
   Penn-Brussel Gertrude., 2017, KOMPAKTE FUNKTIONSGE
   Reynolds AN, 2021, IMPACT ASSESS PROJ A, V39, P196, DOI 10.1080/14615517.2021.1904375
   Sauer Arn, 2018, TRANSCRIPT
   Sauer AT, 2013, IMPACT ASSESS PROJ A, V31, P135, DOI 10.1080/14615517.2013.791416
   Schultz Irmgard, 2001, GENDER RES GENDER IM
   Scott A HillChristina;NamaraCharity;OrcayaJane;BograndAndrew;Sellwood., 2021, IMPACT ASSESS PROJEC, V39, P229, DOI [10.1080/14615517.2021.1904696, DOI 10.1080/14615517.2021.1904696]
   Spitzner M., 2020, Interdependente Genderaspekte der Klimapolitik
   Therivel R., 2017, Methods of Environmental and Social Impact Assessment
   [UNFCCC] United Nations Framework Convention on Climate Change, 2019, GENDER CLIMATE CHANG
   Veit S., 2010, BESSERE GESETZE DURC
   Verloo M., 2007, Multiple meanings of gender equality. A critical frame analysis of gender policies in Europe, P21
   Verloo M., 2010, FINAL WHY REPORT QUA
   Verloo M., 1996, Impact Assessment, V14, P3
   Verloo Mieke., 2008, SUCCESS DISAPPOINTME, P69
NR 49
TC 4
Z9 4
U1 3
U2 31
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1461-5517
EI 1471-5465
J9 IMPACT ASSESS PROJ A
JI Impact Assess. Proj. Apprais.
PD MAY 4
PY 2021
VL 39
IS 3
BP 262
EP 273
DI 10.1080/14615517.2021.1904710
PG 12
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA TK4QM
UT WOS:000674145100009
DA 2025-01-10
ER

PT J
AU Cartwright, JM
   Littlefield, CE
   Michalak, JL
   Lawler, JJ
   Dobrowski, SZ
AF Cartwright, Jennifer M.
   Littlefield, Caitlin E.
   Michalak, Julia L.
   Lawler, Joshua J.
   Dobrowski, Solomon Z.
TI Topographic, soil, and climate drivers of drought sensitivity in forests
   and shrublands of the Pacific Northwest, USA
SO SCIENTIFIC REPORTS
LA English
DT Article
ID TERRESTRIAL ECOSYSTEM PRODUCTION; TREE MORTALITY; VEGETATION;
   VULNERABILITY; PATTERNS; INDEX; DYNAMICS; IMPACTS; REFUGIA; PLANTS
AB Climate change is anticipated to increase the frequency and intensity of droughts, with major impacts to ecosystems globally. Broad-scale assessments of vegetation responses to drought are needed to anticipate, manage, and potentially mitigate climate-change effects on ecosystems. We quantified the drought sensitivity of vegetation in the Pacific Northwest, USA, as the percent reduction in vegetation greenness under droughts relative to baseline moisture conditions. At a regional scale, shrub-steppe ecosystems-with drier climates and lower biomass-showed greater drought sensitivity than conifer forests. However, variability in drought sensitivity was considerable within biomes and within ecosystems and was mediated by landscape topography, climate, and soil characteristics. Drought sensitivity was generally greater in areas with higher elevation, drier climate, and greater soil bulk density. Ecosystems with high drought sensitivity included dry forests along ecotones to shrublands, Rocky Mountain subalpine forests, and cold upland sagebrush communities. In forests, valley bottoms and areas with low soil bulk density and high soil available water capacity showed reduced drought sensitivity, suggesting their potential as drought refugia. These regional-scale drought-sensitivity patterns discerned from remote sensing can complement plot-scale studies of plant physiological responses to drought to help inform climate-adaptation planning as drought conditions intensify.
C1 [Cartwright, Jennifer M.] US Geol Survey, Lower Mississippi Gulf Water Sci Ctr, Nashville, TN 37211 USA.
   [Littlefield, Caitlin E.] Univ Vermont, Rubenstein Sch Environm & Nat Resources, Burlington, VT USA.
   [Michalak, Julia L.; Lawler, Joshua J.] Univ Washington, Sch Environm & Forest Sci, Seattle, WA USA.
   [Dobrowski, Solomon Z.] Univ Montana, Dept Forest Management, Missoula, MT 59812 USA.
C3 United States Department of the Interior; United States Geological
   Survey; University of Vermont; University of Washington; University of
   Washington Seattle; University of Montana System; University of Montana
RP Cartwright, JM (corresponding author), US Geol Survey, Lower Mississippi Gulf Water Sci Ctr, Nashville, TN 37211 USA.
EM jmcart@usgs.gov
RI Dobrowski, Solomon/Q-7132-2019
OI Dobrowski, Solomon/0000-0003-2561-3850; Cartwright,
   Jennifer/0000-0003-0851-8456
FU U.S. Geological Survey; Department of the Interior Northwest Climate
   Adaptation Science Center
FX This study was supported by the U.S. Geological Survey and the
   Department of the Interior Northwest Climate Adaptation Science Center.
   This manuscript was improved based on review comments by Timothy Assal
   (Kent State University). The authors declare no competing financial
   interests. Any use of trade, firm, or product names is for descriptive
   purposes only and does not imply endorsement by the U.S. Government.
CR AdaptWest Project, 2015, GRIDD CURR FUT CLIM
   Ahmadalipour A, 2017, INT J CLIMATOL, V37, P2477, DOI 10.1002/joc.4859
   Ahmadi B, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11060731
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   Anderegg WRL, 2015, SCIENCE, V349, P528, DOI 10.1126/science.aab1833
   Assal TJ, 2016, FOREST ECOL MANAG, V365, P137, DOI 10.1016/j.foreco.2016.01.017
   Baker WL, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2288
   Barnes ML, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1339
   Berdanier AB, 2016, ECOL APPL, V26, P17, DOI 10.1890/15-0274
   Berner L. T., 2015, ORGON BIOGEOSCI DISC, V12, P14507, DOI DOI 10.5194/bgd-12-14507-2015
   Bigler C, 2007, OIKOS, V116, P1983, DOI 10.1111/j.2007.0030-1299.16034.x
   Brodrick PG, 2019, GEOPHYS RES LETT, V46, P2752, DOI 10.1029/2018GL081108
   Buttrick S., 2015, CONSERVING NATURES S
   Campos GEP, 2013, NATURE, V494, P349, DOI 10.1038/nature11836
   Cartwright J, 2018, FORESTS, V9, DOI 10.3390/f9110715
   Chaves MM, 2003, FUNCT PLANT BIOL, V30, P239, DOI 10.1071/FP02076
   Choat B, 2012, NATURE, V491, P752, DOI 10.1038/nature11688
   Clark JS, 2016, GLOBAL CHANGE BIOL, V22, P2329, DOI 10.1111/gcb.13160
   Clifford MJ, 2011, ECOSYSTEMS, V14, P949, DOI 10.1007/s10021-011-9458-2
   Crausbay SD, 2017, B AM METEOROL SOC, V98, P2543, DOI 10.1175/BAMS-D-16-0292.1
   De'ath G, 2000, ECOLOGY, V81, P3178, DOI 10.2307/177409
   Dobrowski S. Z., 2013, CLIMATIC WATER BALAN
   Elith J, 2008, J ANIM ECOL, V77, P802, DOI 10.1111/j.1365-2656.2008.01390.x
   Esri, 2020, ARCGIS DESKT
   Fan Y, 2013, SCIENCE, V339, P940, DOI 10.1126/science.1229881
   Ficklin DL, 2017, J GEOPHYS RES-ATMOS, V122, P2061, DOI 10.1002/2016JD025855
   Franklin S, 2012, ANN BOT-ITALY, V2, P1, DOI 10.4462/annbotrm-9261
   Guarín A, 2005, FOREST ECOL MANAG, V218, P229, DOI 10.1016/j.foreco.2005.07.014
   Hahm WJ, 2019, GEOPHYS RES LETT, V46, P6544, DOI 10.1029/2019GL083294
   Hengl T, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105992
   HIJMANS RJ, 2016, R PACKAGE VERSION, V1, P1
   Hoylman ZH, 2019, GEOPHYS RES LETT, V46, P14508, DOI 10.1029/2019GL085546
   Huang CY, 2012, GLOBAL CHANGE BIOL, V18, P1016, DOI 10.1111/j.1365-2486.2011.02592.x
   Huete A, 2002, REMOTE SENS ENVIRON, V83, P195, DOI 10.1016/S0034-4257(02)00096-2
   Jaeger KL, 2019, J HYDROL X, V2, DOI 10.1016/j.hydroa.2018.100005
   Kath J, 2015, J APPL ECOL, V52, P1116, DOI 10.1111/1365-2664.12495
   Kerns BK, 2018, CLIM SERV, V10, P33, DOI 10.1016/j.cliser.2017.07.002
   Krawchuk MA, 2020, FRONT ECOL ENVIRON, V18, P235, DOI 10.1002/fee.2190
   Law BE, 2015, FOREST ECOL MANAG, V355, P4, DOI 10.1016/j.foreco.2014.11.023
   Ma XL, 2015, J GEOPHYS RES-BIOGEO, V120, P2036, DOI 10.1002/2015JG003144
   Maherali H, 2004, ECOLOGY, V85, P2184, DOI 10.1890/02-0538
   Malone SL, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1561
   Marlier ME, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8fde
   McDowell N, 2008, NEW PHYTOL, V178, P719, DOI 10.1111/j.1469-8137.2008.02436.x
   Mclaughlin BC, 2017, GLOBAL CHANGE BIOL, V23, P2941, DOI 10.1111/gcb.13629
   Michalak JL, 2017, FRONT ECOL ENVIRON, V15, P367, DOI 10.1002/fee.1516
   Mildrexler D, 2016, REMOTE SENS ENVIRON, V173, P314, DOI 10.1016/j.rse.2015.11.024
   Millar CI, 2018, CAN J FOREST RES, V48, P663, DOI 10.1139/cjfr-2017-0374
   Moran MS, 2014, ECOLOGY, V95, P2121, DOI 10.1890/13-1687.1
   National Aeronautics and Space Administration (NASA), 2020, EARTHDATA SEARCH
   Norman S., 2015, EFFECTS DROUGHT FORE, P195
   Omernik JM, 2014, ENVIRON MANAGE, V54, P1249, DOI 10.1007/s00267-014-0364-1
   Peterman W, 2013, ECOHYDROLOGY, V6, P455, DOI 10.1002/eco.1284
   Potithep S, 2010, INT ARCH PHOTOGRAMM, V38, P609
   R Core Team, 2017, R LANG ENV STAT COMP
   Simeone C, 2019, NEW PHYTOL, V221, P1814, DOI 10.1111/nph.15499
   Sims DA, 2014, GLOBAL CHANGE BIOL, V20, P2856, DOI 10.1111/gcb.12537
   Smettem KRJ, 2013, GLOBAL CHANGE BIOL, V19, P2401, DOI 10.1111/gcb.12223
   Tague CL, 2019, FRONT FOR GLOB CHANG, V2, DOI 10.3389/ffgc.2019.00036
   U.S. Geological Survey, 2015, GLOB 30 ARC 2 EL GTO
   U.S. Geological Survey, 2010, GAP LANDFIRE NAT TER
   Van Loon AF, 2015, WIRES WATER, V2, P359, DOI 10.1002/wat2.1085
   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
   Vogelmann JE, 2009, REMOTE SENS ENVIRON, V113, P1739, DOI 10.1016/j.rse.2009.04.014
   Walck JL, 2011, GLOBAL CHANGE BIOL, V17, P2145, DOI 10.1111/j.1365-2486.2010.02368.x
   Yang YH, 2016, SCI REP-UK, V6, DOI 10.1038/srep20219
   Young DJN, 2017, ECOL LETT, V20, P78, DOI 10.1111/ele.12711
   Yu MX, 2014, INT J CLIMATOL, V34, P545, DOI 10.1002/joc.3701
   Yu Z, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5258
   Zhang Y, 2015, BIOGEOSCIENCES, V12, P549, DOI 10.5194/bg-12-549-2015
   Zhang YG, 2013, J GEOPHYS RES-BIOGEO, V118, P148, DOI 10.1029/2012JG002136
NR 72
TC 51
Z9 55
U1 7
U2 43
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD OCT 28
PY 2020
VL 10
IS 1
AR 18486
DI 10.1038/s41598-020-75273-5
PG 13
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA OO8WC
UT WOS:000587653900004
PM 33116196
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Loehr, J
AF Loehr, Johanna
TI The Vanuatu Tourism Adaptation System: a holistic approach to reducing
   climate risk
SO JOURNAL OF SUSTAINABLE TOURISM
LA English
DT Article
DE Climate risk; destination; systems thinking; climate adaptation; Vanuatu
ID POLICY ENVIRONMENT; ADAPTIVE CAPACITY; VULNERABILITY; FRAMEWORK; ISLAND;
   RESILIENCE; SUSTAINABILITY; GOVERNANCE; COMMUNITY; INSIGHTS
AB Tourist destinations in small island developing states are facing increasing risk from climate change, threatening not only tourism businesses but all destination elements including the community and ecosystems. In order to reduce climate risk destination wide, this paper first enhances the Intergovernmental Panel on Climate Change risk framework by extending it with destination specific features. This extended framework was drawn upon to develop a system model for Vanuatu, called the Vanuatu Tourism Adaptation System, using a qualitative multi-phase research design. The system highlights economic, socio-cultural, political, and environmental variables, how they are interlinked and thereby influence climate risk to destinations in Vanuatu. It provides a novel tool for understanding climate risk reduction within destinations as a holistic system and based on this understanding, destination trade-offs and policy recommendations are discussed. It can thus aid tourism and climate change decision makers in identifying and testing adaptation measures that benefit not only tourism but the destination more broadly, including the local community and ecosystem health. This study fills a gap in the academic literature by enhancing the systemic understanding of climate risk in small island developing states destinations and contributes to our understanding of tourism as a climate-resilient development pathway.
C1 [Loehr, Johanna] Griffith Univ, Dept Tourism Sport & Hotel Management, Southport, Qld 4222, Australia.
   [Loehr, Johanna] Griffith Univ, Griffith Inst Tourism, Southport, Qld 4222, Australia.
C3 Griffith University; Griffith University - Gold Coast Campus; Griffith
   University; Griffith University - Gold Coast Campus
RP Loehr, J (corresponding author), Griffith Univ, Dept Tourism Sport & Hotel Management, Southport, Qld 4222, Australia.; Loehr, J (corresponding author), Griffith Univ, Griffith Inst Tourism, Southport, Qld 4222, Australia.
EM johanna.loehr@griffithuni.edu.au
RI Loehr, Johanna/AAL-2129-2021
OI Loehr, Johanna/0000-0001-7361-0086
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Anney V.N., 2014, J EMERGING TRENDS ED, V5, P272, DOI DOI 10.3109/08941939.2012.723954
   [Anonymous], 2015, INTERVIEWS LEARNING
   [Anonymous], 2017, Travel tourism economic impact 2017
   [Anonymous], 2000, Business Dynamics: Systems Thinking and Modeling for a Complex World
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bazeley P., 2007, Qualitative data analysis with NVivo
   Becken S, 2005, GLOBAL ENVIRON CHANG, V15, P381, DOI 10.1016/j.gloenvcha.2005.08.001
   Becken S, 2019, TOUR RECREAT RES, V44, P419, DOI 10.1080/02508281.2019.1598042
   Becken S, 2019, TOURISM MANAGE, V71, P294, DOI 10.1016/j.tourman.2018.10.023
   Becken S, 2013, ANN TOURISM RES, V43, P506, DOI 10.1016/j.annals.2013.06.002
   Becken Susanne., 2012, Climate Change and Tourism: From Policy to Practice
   Beilin R, 2012, RESHAPING ENVIRONMENTS: AN INTERDISCIPLINARY APPROACH TO SUSTAINABILITY IN A COMPLEX WORLD, P277
   Bhandari K, 2016, TOUR RECREAT RES, V41, P60, DOI 10.1080/02508281.2016.1119972
   BOGUSLAW R, 2001, SYSTEMS THEORY ENCY, V5
   Buggy L, 2016, CLIM DEV, V8, P270, DOI 10.1080/17565529.2015.1041445
   Calgaro E, 2014, J SUSTAIN TOUR, V22, P341, DOI 10.1080/09669582.2013.826229
   Calgaro E, 2014, J SUSTAIN TOUR, V22, P361, DOI 10.1080/09669582.2013.826231
   *CAR DIS EM MAN AG, 2009, GUID DEV NAT DIS RIS
   Chen SH, 2012, ENVIRON MODELL SOFTW, V37, P134, DOI 10.1016/j.envsoft.2012.03.012
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Dawson J., 2007, Tourism in Marine Environments, V4, P69, DOI 10.3727/154427307784772057
   Dredge D, 2019, CONTEMP GEOGR LEIS T, P48
   Elo S, 2008, J ADV NURS, V62, P107, DOI 10.1111/j.1365-2648.2007.04569.x
   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
   Espiner S, 2014, J SUSTAIN TOUR, V22, P646, DOI 10.1080/09669582.2013.855222
   Farrell BH, 2004, ANN TOURISM RES, V31, P274, DOI 10.1016/j.annals.2003.12.002
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gössling S, 2013, ENERG POLICY, V59, P433, DOI 10.1016/j.enpol.2013.03.058
   Heslinga JH, 2017, J TOUR FUTURES, V3, P23, DOI [10.1108/jtf-10-2015-0047, 10.1108/JTF-10-2015-0047]
   Jakeman AJ, 2006, ENVIRON MODELL SOFTW, V21, P602, DOI 10.1016/j.envsoft.2006.01.004
   Jennings G., 2010, Tourism research, V2nd
   Jiang M, 2015, CONTEMP GEOGR LEIS T, V48, P239
   Jiang Min Jiang Min, 2012, International Journal of Tourism Policy, V4, P238, DOI 10.1504/IJTP.2012.049722
   Jopp R, 2010, CURR ISSUES TOUR, V13, P591, DOI 10.1080/13683501003653379
   Kim D. H., 1997, Applying systems archetypes
   Klint L. M., 2012, Tourism in Marine Environments, V8, P91, DOI 10.3727/154427312X13262430524225
   Klint LM, 2012, CURR ISSUES TOUR, V15, P247, DOI 10.1080/13683500.2011.608841
   Leiper N., 2004, Tourism Management
   Lenzen M, 2018, NAT CLIM CHANGE, V8, P522, DOI 10.1038/s41558-018-0141-x
   Liamputtong P., 2013, QUALITATIVE RES METH
   Mackey B., 2017, ECOSYSTEM SOCIOECONO
   Mai T, 2015, J SUSTAIN TOUR, V23, P1504, DOI 10.1080/09669582.2015.1045514
   McCool SF, 2015, PROTECTED AREA GOVERNANCE AND MANAGEMENT, P291
   Meadows DH, 2008, THINKING SYSTEMS PRI
   Moreno A, 2009, J SUSTAIN TOUR, V17, P473, DOI 10.1080/09669580802651681
   Movono A, 2018, J SUSTAIN TOUR, V26, P451, DOI 10.1080/09669582.2017.1359280
   Moyle CLJ, 2018, J SUSTAIN TOUR, V26, P703, DOI 10.1080/09669582.2017.1387121
   Mycoo M, 2014, NAT RESOUR FORUM, V38, P47, DOI 10.1111/1477-8947.12033
   Njoroge JM, 2014, TOUR MANAG PERSPECT, V12, P23, DOI 10.1016/j.tmp.2014.06.002
   Nunn PD, 2014, REG ENVIRON CHANGE, V14, P221, DOI 10.1007/s10113-013-0486-7
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Onyango EA, 2016, MALARIA J, V15, DOI 10.1186/s12936-016-1600-3
   Oppenheimer M, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1039
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Oulahen G, 2019, REG ENVIRON CHANGE, V19, P867, DOI 10.1007/s10113-018-1440-5
   Parsons M, 2018, CLIM DEV, V10, P644, DOI 10.1080/17565529.2017.1410082
   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]
   *REP VAN, 2015, INT NAT DET CONTR IN
   Robinson SA, 2017, MITIG ADAPT STRAT GL, V22, P669, DOI 10.1007/s11027-015-9693-5
   Ruiz-Ballesteros E, 2011, TOURISM MANAGE, V32, P655, DOI 10.1016/j.tourman.2010.05.021
   Saldana J., 2016, The coding manual for qualitative researchers, V3rd
   Scheyvens R, 2008, TOURISM GEOGR, V10, P22, DOI 10.1080/14616680701825115
   Schliephack J, 2017, TOURISM MANAGE, V59, P182, DOI 10.1016/j.tourman.2016.08.004
   [Scott D. UNWTO-UNEP-WMO UNWTO-UNEP-WMO], 2008, CLIMATE CHANGE TOURI
   Scott D, 2012, J SUSTAIN TOUR, V20, P883, DOI 10.1080/09669582.2012.699063
   Sovacool BK, 2017, CLIMATIC CHANGE, V140, P209, DOI 10.1007/s10584-016-1839-2
   Spalding MD, 2014, OCEAN COAST MANAGE, V90, P50, DOI 10.1016/j.ocecoaman.2013.09.007
   STEFANOVA M, 2008, JUSTICE POOR, V2, P1
   Tompkins EL, 2005, ENVIRON SCI POLICY, V8, P562, DOI 10.1016/j.envsci.2005.06.012
   Tribe J, 2018, ANN TOURISM RES, V73, P14, DOI 10.1016/j.annals.2018.08.004
   *UN DEV PROGR, 2017, ENH RES COAST COMM S
   *VAN NAT ADV COMM, 2007, NAT AD PROGR ACT NAP
   *VAN NAT STAT OFF, 2018, STAT UPD INT ARR STA
   Vandenbroeck P., 2007, Foresight tackling obesities: Future choices - obesity system atlas
   White D., 1995, MANAGE DECIS, V33, P35, DOI DOI 10.1108/EUM0000000003918
   Whittlesea E., 2018, Building a resilient tourism industry: Queensland Tourism climate change response plan
   Wong E, 2013, TOUR HOSP RES, V13, P201, DOI 10.1177/1467358414524978
   ,, 2008, Climate change adaptation and mitigation in the tourism sector: frameworks, tools and practices
NR 81
TC 29
Z9 31
U1 1
U2 28
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0966-9582
EI 1747-7646
J9 J SUSTAIN TOUR
JI J. Sustain. Tour.
PD APR 2
PY 2020
VL 28
IS 4
BP 515
EP 534
DI 10.1080/09669582.2019.1683185
EA NOV 2019
PG 20
WC Green & Sustainable Science & Technology; Hospitality, Leisure, Sport &
   Tourism
WE Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Social Sciences - Other Topics
GA KG1BS
UT WOS:000494913700001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Lin, BB
   Meyers, JA
   Barnett, GB
AF Lin, Brenda B.
   Meyers, Jacqui A.
   Barnett, Guy B.
TI Establishing Priorities for Urban Green Infrastructure Research in
   Australia
SO URBAN POLICY AND RESEARCH
LA English
DT Article
DE Urban planning; green space; urban vegetation; ecosystem services;
   climate adaptation; economic valuation
ID ECOSYSTEM SERVICES; STREET TREES; VEGETATION; ATTITUDES; BIODIVERSITY;
   SPACES; STEWARDSHIP; GOVERNANCE; CHALLENGES; VALUATION
AB Green infrastructure (GI) is a vital asset for sustainable cities, but an interdisciplinary approach must be taken if multifunctional and socially acceptable GI is to be developed. Here, we present the results of a workshop process to connect researchers and practitioners across academia, industry, and government and to enable a multidisciplinary group of participants to coalesce on a set of cross-cutting issues and prioritise a research agenda to address and advance GI research and uptake in Australia. We found that many of the challenges were ubiquitous across regions and scales, but research in a few key priority areas could advance GI across multiple cities. The key research areas were: Attitudes & Perceptions of GI; Increasing Biodiversity through GI; Optimising Spatial Configuration and Composition for Multiple Benefits; Economic Valuation of GI; Metrics, Models and Tools for Benchmarking Assessments; and Turning Research into Policy and Implementation. Although participants saw that there were many synergies across the research topics, there were challenges of translating the science for decision making and of establishing long-term institutional collaborations. However, urgency for sound evidence to support policy development and planning will require an interdisciplinary process to be maintained so that clear communication can be established across sectors.
C1 [Lin, Brenda B.] CSIRO Land & Water, Land & Water, Aspendale, Vic, Australia.
   [Meyers, Jacqui A.; Barnett, Guy B.] CSIRO Land & Water, Land & Water, Canberra, ACT, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   CSIRO Land & Water
RP Lin, BB (corresponding author), CSIRO Land & Water, Private Bag 1, Aspendale, Vic 3195, Australia.
EM Brenda.Lin@csiro.au
RI Meyers, Jacqui/B-5130-2011; Lin, Brenda/A-8834-2011; Barnett,
   Guy/A-7034-2011
OI Lin, Brenda/0000-0002-6011-9172; Barnett, Guy/0000-0002-4991-9427
CR Andersson E, 2014, AMBIO, V43, P445, DOI 10.1007/s13280-014-0506-y
   [Anonymous], GREENING GREY I ANAL
   [Anonymous], 2005, Press
   [Anonymous], 2016, Enviroatlas
   Balram S, 2005, LANDSCAPE URBAN PLAN, V71, P147, DOI 10.1016/j.landurbplan.2004.02.007
   Barnhill K, 2012, ENVIRON PRAC, V14, P6, DOI 10.1017/S1466046611000470
   Basnou C., 2015, CAB Reviews, V10, P1, DOI 10.1079/PAVSNNR201510004
   Byrne J, 2009, AUST PLAN, V46, P35, DOI 10.1080/07293682.2009.10753420
   Chee YE, 2004, BIOL CONSERV, V120, P549, DOI 10.1016/j.biocon.2004.03.028
   Connors JP, 2013, LANDSCAPE ECOL, V28, P271, DOI 10.1007/s10980-012-9833-1
   Corfee-Morlot J, 2012, OECD ENV WORKING PAP, V48
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   de Groot R, 2006, LANDSCAPE URBAN PLAN, V75, P175, DOI 10.1016/j.landurbplan.2005.02.016
   Faeth SH, 2011, ANN NY ACAD SCI, V1223, P69, DOI 10.1111/j.1749-6632.2010.05925.x
   Fan C, 2015, PROG PHYS GEOG, V39, P199, DOI 10.1177/0309133314567583
   Fryd O., 2011, CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, V6, P1, DOI 10.1079/PAVSNNR20116053
   Gilbert Michelle, 2007, Urban Forestry & Urban Greening, V6, P41, DOI 10.1016/j.ufug.2006.10.001
   Gobster PH, 2004, LANDSCAPE URBAN PLAN, V68, P147, DOI 10.1016/S0169-2046(03)00162-2
   Goddard MA, 2010, TRENDS ECOL EVOL, V25, P90, DOI 10.1016/j.tree.2009.07.016
   Grove JM, 2006, ECOSYSTEMS, V9, P578, DOI 10.1007/s10021-006-0116-z
   Haase D, 2014, AMBIO, V43, P407, DOI 10.1007/s13280-014-0503-1
   Hanna EG, 2011, ASIA-PAC J PUBLIC HE, V23, p14S, DOI 10.1177/1010539510391457
   Harris F, 2013, ENVIRON SCI POLICY, V31, P109, DOI 10.1016/j.envsci.2013.02.006
   Harris V, 2018, LANDSCAPE RES, V43, P150, DOI 10.1080/01426397.2017.1302571
   Head L., 2005, P 6 NAT C AUSTR FOR, P84
   Huitema D, 2009, ECOL SOC, V14
   Ison R, 2007, ENVIRON SCI POLICY, V10, P499, DOI 10.1016/j.envsci.2007.02.008
   Jenerette GD, 2011, ECOL APPL, V21, P2637, DOI 10.1890/10-1493.1
   Kabisch N, 2014, LANDSCAPE URBAN PLAN, V122, P129, DOI 10.1016/j.landurbplan.2013.11.016
   Keeley M, 2013, ENVIRON MANAGE, V51, P1093, DOI 10.1007/s00267-013-0032-x
   Kirkpatrick JB, 2012, LANDSCAPE URBAN PLAN, V107, P147, DOI 10.1016/j.landurbplan.2012.05.015
   Kirkpatrick JB, 2013, GEOFORUM, V48, P165, DOI 10.1016/j.geoforum.2013.04.018
   Kuo FE, 2001, ENVIRON BEHAV, V33, P343, DOI 10.1177/00139160121973025
   Lin B, 2015, URBAN FOR URBAN GREE, V14, P952, DOI 10.1016/j.ufug.2015.09.003
   Loibl W, 2003, ENVIRON MODELL SOFTW, V18, P553, DOI 10.1016/S1364-8152(03)00030-6
   Maeler KG, 2008, P NATL ACAD SCI USA, V105, P9501, DOI 10.1073/pnas.0708856105
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McKinney M. L., 2008, Urban Ecosystems, V11, P161, DOI 10.1007/s11252-007-0045-4
   Moskell C, 2013, LANDSCAPE URBAN PLAN, V120, P85, DOI 10.1016/j.landurbplan.2013.08.002
   Mullaney J, 2015, LANDSCAPE URBAN PLAN, V134, P157, DOI 10.1016/j.landurbplan.2014.10.013
   Muñoz-Erickson TA, 2017, FORESTS, V8, DOI 10.3390/f8060203
   National Landcare Programme, 2016, 20 MILL TREES
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   O'Sullivan OS, 2017, J ENVIRON MANAGE, V191, P162, DOI 10.1016/j.jenvman.2016.12.062
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Perkins HA, 2004, CITIES, V21, P291, DOI 10.1016/j.cities.2004.04.002
   Radeloff VC, 2005, CONSERV BIOL, V19, P793, DOI 10.1111/j.1523-1739.2005.00387.x
   Repko AF., 2016, Interdisciplinary Research: Process and Theory
   Rodríguez JP, 2006, ECOL SOC, V11
   Säumel I, 2016, ENVIRON SCI POLICY, V62, P24, DOI 10.1016/j.envsci.2015.11.012
   Schroeder Herbert, 2006, Arboriculture & Urban Forestry, V32, P236
   Scruggs G., 2017, CITISCOPE       0201
   Shanahan DF, 2014, LANDSCAPE URBAN PLAN, V130, P14, DOI 10.1016/j.landurbplan.2014.06.005
   Smith RM, 2006, BIODIVERS CONSERV, V15, P2415, DOI 10.1007/s10531-004-5014-0
   Soulsbury CD, 2015, WILDLIFE RES, V42, P541, DOI 10.1071/WR14229
   Steyaert P, 2007, ENVIRON SCI POLICY, V10, P575, DOI 10.1016/j.envsci.2007.01.011
   Threlfall CG, 2017, J APPL ECOL, V54, P1874, DOI 10.1111/1365-2664.12876
   Tong CF, 2007, ECOL ENG, V29, P249, DOI 10.1016/j.ecoleng.2006.03.002
   Troy AR, 2007, ENVIRON MANAGE, V40, P394, DOI 10.1007/s00267-006-0112-2
   Tubby KV, 2010, FORESTRY, V83, P451, DOI 10.1093/forestry/cpq027
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   USDA Forest Service, 2016, I TREE EC V6
   van Rijnsoever FJ, 2011, RES POLICY, V40, P463, DOI 10.1016/j.respol.2010.11.001
   Vergnes A, 2012, BIOL CONSERV, V145, P171, DOI 10.1016/j.biocon.2011.11.002
   Victorian Institute of Strategic Economic Studies (VISES), 2015, GREEN INFR EC FRAM
   Whitman G., 2015, J ENVIRON PLANN MAN, V58, P1291, DOI DOI 10.1080/09640568.2014.921596
   World Bank, 2015, URB POP TOT
NR 67
TC 15
Z9 15
U1 1
U2 17
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0811-1146
EI 1476-7244
J9 URBAN POLICY RES
JI Urban Policy Res.
PD JAN 2
PY 2019
VL 37
IS 1
BP 30
EP 44
DI 10.1080/08111146.2018.1523054
PG 15
WC Environmental Studies; Geography; Regional & Urban Planning; Urban
   Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography; Public Administration;
   Urban Studies
GA HW0HR
UT WOS:000466362000003
DA 2025-01-10
ER

PT J
AU Rodríguez, RAS
   Santos, AEM
AF Sanchez Rodriguez, Roberto Alejandro
   Morales Santos, Aaron Eduardo
TI Vulnerability Assessment to Climate Variability and Climate Change in
   Tijuana, Mexico
SO SUSTAINABILITY
LA English
DT Article
DE vulnerability; climate variability; climate change; cities; urban areas;
   low-income and middle-income countries; methodology; climate impacts;
   indicators
ID ADAPTIVE CAPACITY; CHANGE ADAPTATION; CHANGE IMPACTS; CITIES;
   INDICATORS; RESILIENCE; LINKAGES; RISK
AB This paper presents research results of a recent project creating an operational approach to assess vulnerability to climate variability and climate change in Tijuana, Mexico. Despite chronic flooding problems throughout the history of the city, local authorities and state authorities have given little attention to vulnerability to climate variability and climate change. This is the first assessment of vulnerability to flooding carried out in Tijuana. Research results show that over 10 percent of the total population in the city (over 153,000 inhabitants) lives in areas with high vulnerability to flooding, and an additional 18 percent (277,000 inhabitants) are in areas with what we classify as medium-high vulnerability. Results by census track identified specific areas and social groups in these categories, as well as the underlying drivers of vulnerability associated with the biophysical conditions of the landscape that have been modified by urban growth and through social processes (namely, deficiencies in local urban planning and its enforcement along with deficient social policies). Information and knowledge of vulnerability is a useful first step in the long process of creating climate adaptation and resilient pathways within the context of sustainable urban development.
C1 [Sanchez Rodriguez, Roberto Alejandro; Morales Santos, Aaron Eduardo] Colegio Frontera Norte AC, Tijuana 22560, Mexico.
RP Rodríguez, RAS (corresponding author), Colegio Frontera Norte AC, Tijuana 22560, Mexico.
EM robsan@colef.mx; emorales@colef.mx
OI Morales Santos, Aaron Eduardo/0000-0003-4323-634X
FU Instituto Nacional de Ecologia y Cambio Climatico (INECC)
   [INECC/A1-009/2014]
FX This research was funded by Instituto Nacional de Ecologia y Cambio
   Climatico (INECC) grant number [INECC/A1-009/2014].
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Alegria Tito Olazabal., 2005, Legalizando la ciudad: Asentamientos informales y procesos de regularizacion en Tijuana
   [Anonymous], ROUTLEDGE HDB URBANI
   [Anonymous], MAKE CIT MOR RES HDB
   [Anonymous], CENSS POBL VIV 2010
   [Anonymous], 2010 ANN REP BUR CRI
   [Anonymous], EQUITY SUSTAINABLE D
   [Anonymous], 2013, Respuestas urbanas al cambio climatico en America Latina
   [Anonymous], NEW GLOBAL FRONTER
   [Anonymous], 2011, GUID CLIM CHANG AD C
   [Anonymous], 2007, ADAPTING CLIMATE CHA
   [Anonymous], PROP CIT STAT WORLD
   [Anonymous], 1993, Frontera Norte
   [Anonymous], DES ESTR AD CAMB CLI
   [Anonymous], 1957, EOS T AM GEOPHYS UN, DOI DOI 10.1029/TR038I006P00913
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Beall J, 2002, ENVIRON URBAN, V14, P41, DOI 10.1177/095624780201400104
   Beg N, 2002, CLIM POLICY, V2, P129, DOI 10.1016/S1469-3062(02)00028-1
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Brugmann J, 2012, ENVIRON URBAN, V24, P215, DOI 10.1177/0956247812437130
   Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Cavazos T, 2004, CLIM RES, V25, P229, DOI 10.3354/cr025229
   Cavazos T, 2012, J CLIMATE, V25, P5904, DOI 10.1175/JCLI-D-11-00425.1
   Coffee JE, 2010, J GREAT LAKES RES, V36, P115, DOI 10.1016/j.jglr.2009.11.011
   Diffenbaugh NS, 2015, P NATL ACAD SCI USA, V112, P3931, DOI 10.1073/pnas.1422385112
   Dovers S, 2009, GLOBAL ENVIRON CHANG, V19, P4, DOI 10.1016/j.gloenvcha.2008.06.006
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P374, DOI 10.1002/wcc.48
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   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
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hull A, 1998, CITIES, V15, P327, DOI 10.1016/S0264-2751(98)00028-6
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   IMCO (Instituto Mexicano para la competividad A. C.), 2013, LIST ESC DISTR FED
   IONESCU C., 2005, Towards a formal framework of vulnerability to climate change
   Larsen SV, 2012, ENVIRON IMPACT ASSES, V33, P32, DOI 10.1016/j.eiar.2011.09.003
   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
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Mozumder P, 2011, OCEAN COAST MANAGE, V54, P37, DOI 10.1016/j.ocecoaman.2010.10.008
   Nguyen TTX, 2016, OCEAN COAST MANAGE, V123, P18, DOI 10.1016/j.ocecoaman.2015.11.022
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Pírez P, 2002, ENVIRON URBAN, V14, P145, DOI 10.1177/095624780201400112
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   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]
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Ribot J, 2014, J PEASANT STUD, V41, P667, DOI 10.1080/03066150.2014.894911
   Roberts D, 2010, ENVIRON URBAN, V22, P397, DOI 10.1177/0956247810379948
   Sanchez-Rodriguez R, 2009, CURR OPIN ENV SUST, V1, P201, DOI 10.1016/j.cosust.2009.10.005
   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]
   Seto KC, 2010, ANNU REV ENV RESOUR, V35, P167, DOI 10.1146/annurev-environ-100809-125336
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Solecki W, 2011, CURR OPIN ENV SUST, V3, P135, DOI 10.1016/j.cosust.2011.03.001
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Tonmoy FN, 2014, WIRES CLIM CHANGE, V5, P775, DOI 10.1002/wcc.314
   Watson V, 2009, PROG PLANN, V72, P151, DOI 10.1016/j.progress.2009.06.002
   Wilbanks T, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P357
NR 59
TC 12
Z9 12
U1 0
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2018
VL 10
IS 7
AR 2352
DI 10.3390/su10072352
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 GP5WQ
UT WOS:000440947600243
OA gold
DA 2025-01-10
ER

PT J
AU Sorensen, C
   Broge, NH
   Molgaard, MR
   Schow, CS
   Thomsen, P
   Vognsen, K
   Knudsen, P
AF Sorensen, Carlo
   Broge, Niels H.
   Molgaard, Mads R.
   Schow, Charlotte S.
   Thomsen, Peter
   Vognsen, Karsten
   Knudsen, Per
TI Assessing Future Flood Hazards for Adaptation Planning in a Northern
   European Coastal Community
SO FRONTIERS IN MARINE SCIENCE
LA English
DT Article
DE sea level rise; local impact; extremes; land motion; geotechnical
   properties; integrating tools; stakeholder collaboration
ID CLIMATE-CHANGE IMPACTS; SEA-LEVEL RISE; VULNERABILITY
AB From a transdisciplinary approach in the town of Thyboron, Denmark, we investigate couplings between sea state (i.e., mean and extreme) and flooding hazards today and ahead. This includes analyses of change and variability in the groundwater table, precipitation, land motion, geotechnical ground properties, sewerage systems and other infrastructure to outline a more complete platform for the integration of knowledge into climate adaptation schemes at this highly vulnerable coastal location. It involves the engagement of the main stakeholders who, although having different responsibilities, interests, needs of knowledge and data, and different timeframes for investment and planning, must join in a common appraisal of the challenges faced ahead to provide for better adaptation measures. Apart from obvious adverse effects from future storm surge events, knowledge about the coupled effects of the abovementioned parameters needs to be taken into account to reach optimal mitigation and adaptation measures. Through stakeholder interviews it becomes clear that an enhanced focus on transdisciplinary research is a viable way forward to develop such measures: it will bring in more knowledge, a broader scope, and it will provide for more holistic solutions that both serve to protect the town and allow for business development and better municipal planning ahead.
C1 [Sorensen, Carlo; Knudsen, Per] Tech Univ Denmark, Dept Geodesy, DTU Space, Lyngby, Denmark.
   [Sorensen, Carlo] Coast & Climate Danish Coastal Author, Lemvig, Denmark.
   [Broge, Niels H.; Vognsen, Karsten] Danish Geodata Agcy, Copenhagen, Denmark.
   [Molgaard, Mads R.] Geo, Lyngby, Denmark.
   [Schow, Charlotte S.; Thomsen, Peter] Ramboll, Viborg, Denmark.
C3 Technical University of Denmark
RP Sorensen, C (corresponding author), Tech Univ Denmark, Dept Geodesy, DTU Space, Lyngby, Denmark.; Sorensen, C (corresponding author), Coast & Climate Danish Coastal Author, Lemvig, Denmark.
EM carlos@space.dtu.dk
OI Knudsen, Per/0000-0003-4640-6746; Sorensen, Carlo
   Sass/0000-0001-5754-6440
FU Innovation Fund Denmark [1355-00193]
FX The authors wish to acknowledge and thank Bo Hviid Nielsen, Albert
   Jensen, and Jan Nielsen (Lemvig Water and Wastewater) for implementing
   the groundwater monitoring campaign and for sharing their "subsurface"
   stories; Pieter Mogree, Kirsten Harbo, and Martin Ronn Hansen (Lemvig
   Municipality) for providing local information and data; Britta Bockhorn
   (Geo) for assisting in preparing the geological model; and Roar Engell,
   Danish Geodata Agency, for assisting in preparing leveling data and
   graphic work. Christian Vrist and Jesper Holt Jensen (Port of Thyboron),
   Lars Norgaard Holmegaard (Lemvig Water and Wasterwater), Merete.
   Lovschall (Danish Coastal Authority), and Thomas Damgaard (Lemvig
   Municipality) shared their views, ideas and visions for the future of
   Thyboron in relation to coastal climate adaptation and planning. For
   this we are grateful. Co-funding for an Industrial PhD scholarship
   (Grant no. 1355-00193) is provided by Innovation Fund Denmark.
CR Andersen H. L., 1996, P 12 NORD GEOT C NGM, V1, P339
   [Anonymous], 2008, THESIS WAGENINGEN U
   [Anonymous], 2007, AR4 CLIMATE CHANGE 2
   Arns A, 2015, COAST ENG, V96, P118, DOI 10.1016/j.coastaleng.2014.12.002
   Beck J. B., 2009, TEKNIK MILJOE, V2009, P54
   Bogtrykkeri S. L. Moellers, 1968, BET VEDR THYB KAN
   Borre K., 2000, GEOLOGISK NYT, V2000/6, P12
   Bosello F, 2014, ENERG ECON, V46, P593, DOI 10.1016/j.eneco.2013.09.002
   Broge N. H., 2013, TECHNICAL REPORT SER, V17
   Bruun P, 1954, COAST STABILITY
   BRUUN P., 1960, STABILITY COASTAL IN
   Christensen B. B., 2011, TECHNICAL REPORT
   Dangendorf S, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8849
   DCA, 1975, LIMFJ 1975
   DCA, 2013, STRAEKN LODBJ NYM BI
   Du YD, 2013, ADV CLIM CHANG RES, V4, P201, DOI 10.3724/SP.J.1248.2013.201
   Duun-Christensen I., 1990, P 1 INT COAST S SKAG
   Ferretti A., 2007, INSAR PRINCIPLES
   Gallina V, 2016, J ENVIRON MANAGE, V168, P123, DOI 10.1016/j.jenvman.2015.11.011
   GEUS, 2015, GERDA DAN NAT DAT SH
   GEUS, 2015, GROUNDW REP DAT
   GEUS, 2015, GEUS MOD DAT BAS
   GEUS, 2015, JUP DENM GEOL HYDR D
   Gibbs MT, 2015, OCEAN COAST MANAGE, V103, P9, DOI 10.1016/j.ocecoaman.2014.10.018
   Gregersen I. B., 2014, OPDATEREDE KLIMAFAKT, V30
   Gregersen S, 2015, GEOL SURV DEN GREENL, P21
   Gregersen S, 2010, J GEODYN, V50, P27, DOI 10.1016/j.jog.2009.11.004
   Grinsted A, 2015, REG CLIM STUD, P253, DOI 10.1007/978-3-319-16006-1_14
   Grinsted A, 2015, CLIM RES, V64, P15, DOI 10.3354/cr01309
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P1, DOI 10.1007/s10584-010-9981-8
   Hansen JM, 2012, BOREAS, V41, P180, DOI 10.1111/j.1502-3885.2011.00229.x
   Hansen L., 2013, 1315 DAN MET I
   Hawa M. N., 2011, TECHNICAL REPORT SER, V10
   Holgate SJ, 2013, J COASTAL RES, V29, P493, DOI 10.2112/JCOASTRES-D-12-00175.1
   I-GIS, 2015, GEOSCENE3D GEOL MOD
   IDA, 2005, FUNKT AFL REGN
   Ingvardsen S. M., 2012, TECHNICAL REPORT
   Jahn T, 2012, ECOL ECON, V79, P1, DOI 10.1016/j.ecolecon.2012.04.017
   Jakobsen PR, 2013, GEOL SURV DEN GREENL, P25
   Jensen J, 2008, FREMSKRIVNING FODRIN
   Jorgensen F., 2008, OPSTILLING GEOLOGISK
   Khan S. A, 2014, REPORT GPS TIME SERI
   Knudsen S. B., 2011, TECHNICAL REPORT
   Knudsen S. B., 2012, INCREASED WATER LEVE
   Knudsen T., 2009, 5 KMS NAT SURV CAD
   Kuhlicke C, 2016, GLOBAL ENVIRON CHANG, V37, P56, DOI 10.1016/j.gloenvcha.2016.01.007
   Lane D. E., 2015, COASTAL ZONES SOLUTI, P141, DOI DOI 10.1016/B978-0-12-802748-6.00009-7
   Lemvig Municipality, 2014, KLIM 2014 2017
   Levinsen J., 2015, DERIVATION LAND DEFO
   Linham M. M., 2010, TNA GUIDEBOOK SERIES, P152
   Loorbach D, 2010, FUTURES, V42, P237, DOI 10.1016/j.futures.2009.11.009
   MERTZ EL, 1924, OVERSIGT SEN POSTGLA
   Milne GA, 2004, J GEOPHYS RES-SOL EA, V109, DOI 10.1029/2003JB002619
   Mobjörk M, 2010, FUTURES, V42, P866, DOI 10.1016/j.futures.2010.03.003
   MPW, 1942, BET VEDR FOR SIKR LI
   MT, 2009, BEK LOV KYSTB 2009
   Nerem RS, 2010, MAR GEOD, V33, P435, DOI 10.1080/01490419.2010.491031
   Nguyen TTX, 2016, OCEAN COAST MANAGE, V123, P18, DOI 10.1016/j.ocecoaman.2015.11.022
   Nicholls R.J., 1995, GEOJOURNAL, V37, P369, DOI DOI 10.1007/BF00814018
   NIELSEN T., 2007, GEOLOGICAL SURVEY DE, V15, P37
   Norgaard JQH, 2014, COAST ENG J, V56, DOI 10.1142/S0578563414500053
   Olesen M., 2014, 6 DANM KLIM
   Oumeraci H., 2014, P 34 C COAST ENG SEO, DOI [10.9753/icce.v34.management.15, DOI 10.9753/ICCE.V34.MANAGEMENT.15]
   Pedersen SAS, 2011, GEOL SURV DEN GREENL, P41
   Permanent Service for Mean Sea Level, 2015, PSMSL TID GAUG DAT
   Perski Z., 2007, RECONNAISSANCE SKAGE
   Petersen A., 2008, 44571 DGU ORB INC
   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]
   Rosenkranz B. C., 2011, TECHNICAL REPORT SER, V12
   Sandersen P. B. E., 2008, Calibration and reliability in groundwater modelling: credibility of modelling, P345
   Schmidt K. E, 2000, SKRIFTER, V8
   Serrao-Neurnann S, 2015, FUTURES, V65, P97, DOI 10.1016/j.futures.2014.08.011
   Sorensen C, 2015, GEOGR ORIENTERING, V45, P6
   Sorensen C., 2015, WORKSH GLOB REG SEA, P62
   Sorensen C., 2013, Technical Report
   Sorensen C, 2015, HDB THEORIE PRAXIS, VV, P3
   SORENSEN T., 1996, HIST COASTAL ENG DEN, P103
   Stocker T. F., 2013, CAMBRIDGE, P1535, DOI DOI 10.1017/CB09781107415324
   Vignoli G, 2015, GEOPHYS PROSPECT, V63, P243, DOI 10.1111/1365-2478.12185
   Visser H, 2015, J GEOPHYS RES-OCEANS, V120, P3873, DOI 10.1002/2015JC010716
   Visser L. E, 2001, MARE PUBLICATION SER, VI, P23
   Vognsen K., 2013, TECHNICAL REPORT SER, V16
   Vognsen K, 2013, GUIDELINES MOTORISER
   Wahl T, 2013, EARTH-SCI REV, V124, P51, DOI 10.1016/j.earscirev.2013.05.003
   Watson PJ, 2015, J COASTAL RES, V31, P758, DOI 10.2112/JCOASTRES-D-14-00143.1
NR 86
TC 7
Z9 7
U1 0
U2 4
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.
PY 2016
VL 3
AR 69
DI 10.3389/fmars.2016.00069
PG 24
WC Environmental Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA VH8XL
UT WOS:000457358000068
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Wallbaum, H
   Ostermeyer, Y
   Goto, Y
AF Wallbaum, Holger
   Ostermeyer, York
   Goto, Yutaka
TI User- and Climate-tailored Design - a vision and chance for global
   acceptance of sustainable building solutions
SO BAUTECHNIK
LA German
DT Article
AB User- and Climate-tailored Design - a vision and chance for global acceptance of sustainable building solutions. The paper gives an overview on background and outlook on sustainable development as a trend and vision in the building sector Focus is on the necessity to adapt existing experience values and concepts in when transferring them to other climate zones and cultures than they originate from. This approach shows a great potential in regards to a solution of problems like global warming and limited resources. Experiences with analyzed projects show however, that, despite the goal to create working and healthy homes, technologies and concepts often are not tailored to local conditions.
   Using the example of a cooperation project of the Swiss Federal Institute of Technology Zurich (ETH Zurich) and the Swiss Federal Laboratories for Materials Science and Technology (EMPA) in which a climate adapted building envelope was developed the paper shows what modifications have to be made. This is especially relevant in the field of building physics in order to increase efficiency and avoid damages to the building and inhabitants and create sustainable homes.
   Besides this the interchange of the developed envelope, associated production methods and other relevant frame conditions, like local resource availability, is used to demonstrate what barriers and potential synergies can emerge in the course of such a project.
C1 [Wallbaum, Holger; Ostermeyer, York] ETH, Swiss Fed Inst Technol Zurich, CH-8093 Zurich, Switzerland.
   [Goto, Yutaka] EMPA, Swiss Fed Labs Mat Sci & Technol, CH-8600 Dubendorf, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; ETH Zurich; Swiss Federal
   Institutes of Technology Domain; Swiss Federal Laboratories for
   Materials Science & Technology (EMPA)
RP Wallbaum, H (corresponding author), ETH, Swiss Fed Inst Technol Zurich, Wolfgang Pauli Str 15, CH-8093 Zurich, Switzerland.
RI ; Wallbaum, Holger/B-6272-2008
OI Ostermeyer, York/0009-0008-7773-8528; Wallbaum,
   Holger/0000-0001-5809-9400
CR [Anonymous], GRENZEN WACHSTUMS BE
   [Anonymous], WORLD DEV REP 2010
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], 2006, UNDERSTANDING SOCIAL
   [Anonymous], FAIR FUTURE BEGRENZT
   [Anonymous], 2003, Industry and Environment, V26
   BOGAKI K, 1998, J ARCHITECTURE PLANI, P23
   Bringezu S., 2009, SUSTAINABLE RESOURCE
   DIN, 4108 DIN
   *FOR AG, 2006, ANN REP TRENDS FOR F
   *FRAUNH I BUILD PH, 2010, WUFI PC PROGR CALC C
   GABRIEL I, 1978, ALTBAU ZUM NIEDRIGEN
   Goto Y, 2011, BUILD ENVIRON, V46, P719, DOI 10.1016/j.buildenv.2010.10.004
   *HOUS IND TRAIN FD, 1998, DAT MAP JAP CLIM PLA
   International Energy Agency (IEA), 2009, WORLD EN OUTL 2010
   *KFW, QUART KFW 2009
   Klopfer W., 2009, OKOBILANZ LCA LEITFA
   *MET, 2010, MET DAT KLIM
   *MIN INT AFF COMM, HOUS BUILD SURV 2007
   Ministry of Land Infrastructure Transport and Tourism Japan, 2007, WHIT PAP LAND INFR T
   Ministry of the Environment Government of Japan, 2008, ANN REP ENV SOUND MA
   OSAWA H, 2005, BUILD ENVIRON, P1330
   OZAKI A, 2003, P 4 JAP CAN HOUS R D, P29
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   *STAT BUND DEUTSCH, STAT JB 2010, pCH11
   TIAMPO KF, 2008, EARTHQUAKES SIMULATI
   *USGS, MIN COMM SUMM 2008
   Wallbaum H., 2009, GEBAUDEPARKMODELL SI
   *WORLD BANK, 2010, 18226 SKU WORLD BANK
   YOKOO K, 2007, P 6 INT C IND AIR QU
   YOSHIDA K, ESSEYS IDLENESS
   ZHANG H, 1915, AIJ J TECHNOLOGY DES, V15, P453
   Zirkelbach D., 2004, BAUPHYSIK, V26, P335
   2008, MEAS MAT FLOWS RES P, V1, P94
   MASTERPLAN CLEANTECH
   2010, ENERGY BUILDING PERF
   2010, DEKLARATION WORLD RE
NR 37
TC 1
Z9 1
U1 0
U2 2
PU WILEY-BLACKWELL
PI MALDEN
PA COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA
SN 0932-8351
J9 BAUTECHNIK
JI Bautechnik
PD JAN
PY 2011
VL 88
IS 1
BP 3
EP 16
DI 10.1002/bate.201110001
PG 14
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA 710GG
UT WOS:000286498300002
OA Bronze
DA 2025-01-10
ER

PT J
AU Boudani, MR
   Mazour, M
   Mazighi, H
   Djoukbala, O
AF Boudani, Mustapha Rabie
   Mazour, Mohamed
   Mazighi, Hichem
   Djoukbala, Omar
TI Development of a minimalist conceptual numerical model for flood
   forecasting and management under GIS environment
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE Algeria; conceptual rainfall-runoff model; flood forecasting systems;
   flood management; flood modelling; geographic information system
ID RUNOFF; DISCHARGE; IMPACT
AB The floods that Algeria has experienced in recent years are among the most significant natural disasters recorded by the country. These disasters, whose amplitude and frequency have tended to become increasingly irregular in space and time, in the current context of global climate change, encourage us to improve our flood management and forecasting strategies, notably through the re-evaluation of protection structure capacities, designed on the basis of hydrological data analyzed by statistical adjustment of past rainfall hazards. The objective of this study is to develop a minimalist conceptual numerical model for flood forecasting and management under GIS environment for the north-east region of Algeria. This model was developed by analyzing hydrographic data that can be adapted to climate data collected in real time, to predict short-term flood hydrographs in all segments of the hydrographic network, based on the Sokolovsky model for construction of synthetic hydrographs, combined with the Horton architecture for basin discretization. We obtained accuracy on past rainfall hazard simulations around 65.2% for peak flow amplitudes and 88.3% for surface runoff base times. This low-cost simple model opens the way to more possibilities in flood management, and can be improved through better spatialization and calibration with more field data.
C1 [Boudani, Mustapha Rabie; Mazour, Mohamed; Djoukbala, Omar] Belhadj Bouchaib Univ Ctr Ain Temouchent, LHYDENV Lab, Ain Temouchent, Algeria.
   [Mazighi, Hichem] Ecole Natl Super Hydraul ENSH, Lab Mobilisat & Valorisat Ressources Eau MVRE, Blida, Algeria.
C3 Ecole Nationale Superieure d'Hydraulique Blida
RP Boudani, MR (corresponding author), Belhadj Bouchaib Univ Ctr Ain Temouchent, LHYDENV Lab, Ain Temouchent, Algeria.
EM b-musta@hotmail.fr
RI DJOUKBALA, Omar/L-3239-2019; DJOUKBALA, Omar/C-9001-2019
OI BOUDANI, Mustapha Rabie/0000-0001-9874-5497; DJOUKBALA,
   Omar/0000-0002-2595-8384; MAZIGHI, Hichem/0000-0001-5983-5473
CR Agirre U, 2005, CATENA, V64, P321, DOI 10.1016/j.catena.2005.08.013
   Al-Juaidi AEM, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-018-4095-0
   Ala-aho P, 2017, J HYDROL, V547, P664, DOI 10.1016/j.jhydrol.2017.02.023
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], 1980, APPL MODELING HYDROL, DOI DOI 10.1002/9781118445112.STAT07809
   Banihabib ME, 2016, COGENT ENG, V3, DOI 10.1080/23311916.2015.1127798
   Beven K.J., 1979, Hydrological Sciences Bulletin, V24, P43, DOI [10.1080/02626667909491834, DOI 10.1080/02626667909491834]
   Bouanani R., 2013, NAT TECHNOL, V9, P61
   Bouvier C., 1994, MERCEDES MODELE HYDR, P257
   Bouvier C., 1994, MERCEDES MAILLAGE EL
   Bui DT, 2008, ICSPCS: 2ND INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS, PROCEEDINGS, P536
   CEPRI, 2017, PREV ANT CRUES IN FO
   Chow T.V., 1988, APPL HYDROLOGY
   Datin R, 1999, HOUILLE BLANCHE, V54, P13
   de Saint-Venant AJC., 1871, Comptes Rendus de L'Acadmie des Sciences, V73, P147
   Donat MG, 2016, NAT CLIM CHANGE, V6, P508, DOI [10.1038/nclimate2941, 10.1038/NCLIMATE2941]
   Edson C.G, 1951, EOS T AM GEOPHYS UN, V32, P591, DOI [10.1029/TR032i004p00591, DOI 10.1029/TR032I004P00591]
   ESPADA, 2005, EV SUIV PLUIES AGGL
   FEON-Hydrodaten, 2007, FED OFF ENV HYDR DAT
   FREEZE RA, 1972, WATER RESOUR RES, V8, P1272, DOI 10.1029/WR008i005p01272
   Giandotti M., 1934, Istituto Poligrafico dello Stato, P107
   Gravelius H., 1914, Flusskunde
   Grimaldi S, 2012, HYDROLOG SCI J, V57, P217, DOI 10.1080/02626667.2011.644244
   Guérin A, 2019, GEOPHYS RES LETT, V46, P7447, DOI 10.1029/2019GL082291
   Habets F, 2001, PHYS CHEM EARTH PT B, V26, P455, DOI 10.1016/S1464-1909(01)00034-X
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   HORTON RE, 1945, GEOL SOC AM BULL, V56, P275, DOI 10.1130/0016-7606(1945)56[275:edosat]2.0.co;2
   Horton RE, 1932, EOS T AM GEOPHYS UN, V13, P350
   Johnstone D., 1949, Elements of applied hydrology
   KARUNANITHI N, 1994, J COMPUT CIVIL ENG, V8, P201, DOI 10.1061/(ASCE)0887-3801(1994)8:2(201)
   Khouloud G., 2015, INT RES J EARTH SCI, V3, P54
   Kirchner JW, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR006912
   Kirpich Z.P., 1940, CIVIL ENG NEW YORK, V10, P362
   Kohler M. A., 1951, PREDICTING RUNOFF ST, V30, P01
   NHWC, 2002, US BEN NAT WEATH SER, P21
   Pasini F., 1914, Relazione sul progettodella bonifica renana
   Perrin C., 2007, Cemagref, UR Hydrosystemes et Bioprocedes, V16
   Ngo PTT, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18113704
   Pilon P.J., 2002, Guidelines for reducing flood losses
   QUINN PF, 1995, HYDROL PROCESS, V9, P161, DOI 10.1002/hyp.3360090204
   Riad S, 2004, MATH COMPUT MODEL, V40, P839, DOI 10.1016/j.mcm.2004.10.012
   Riggs H. C., 1985, DEV WATER SCI, V22
   RODRIGUEZ-ITURBE I, 1979, WATER RESOUR RES, V15, P1409, DOI 10.1029/WR015i006p01409
   Ruggenthaler R, 2016, HYDROLOG SCI J, V61, P1263, DOI 10.1080/02626667.2015.1031758
   Saleh F, 2013, J HYDROL, V476, P169, DOI 10.1016/j.jhydrol.2012.10.027
   Sassolas-Serrayet T, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06210-4
   Saulnier GM, 1997, J HYDROL, V202, P158, DOI 10.1016/S0022-1694(97)00059-0
   Sokolovsky D.L., 1959, RIVER RUNOFF
   Sokolovsky D. L., 1949, P STATE HYDROLOGICAL, V14
   Sokolovsky D. L., 1909, USE ANALOG DIGITAL C, P87
   STRAHLER A.N., 1952, Trans. Amer. Geophys. Union, V38, P913
   Tehrany MS, 2019, CATENA, V175, P174, DOI 10.1016/j.catena.2018.12.011
   U.S. Department of Agriculture and Natural Resources Conservation Service, 2010, NAT ENG HDB 630
   Vincendon B, 2010, J HYDROL, V394, P256, DOI 10.1016/j.jhydrol.2010.04.012
   WaterNSW, 2014, WAT NEW S WAL
   Xu CY., 2019, HDB HYDROMETEOROL EN, V2019, P341, DOI [10.1007/978-3-642-39925-1_21, DOI 10.1007/978-3-642-39925-1_21]
   YAMASAKI K, 1993, 1993 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, P485, DOI 10.1109/ICNN.1993.298605
NR 57
TC 2
Z9 2
U1 0
U2 7
PU IWA PUBLISHING
PI LONDON
PA ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
SN 2040-2244
EI 2408-9354
J9 J WATER CLIM CHANGE
JI J. Water Clim. Chang.
PD DEC
PY 2020
VL 11
SU 1
SI SI
BP 359
EP 386
DI 10.2166/wcc.2020.265
PG 28
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA PK8MI
UT WOS:000602691500020
OA Bronze
DA 2025-01-10
ER

PT J
AU Brendel, O
   Handley, L
   Griffiths, H
AF Brendel, O
   Handley, L
   Griffiths, H
TI Differences in δ<SUP>13</SUP>C and diameter growth among remnant Scots
   pine populations in Scotland
SO TREE PHYSIOLOGY
LA English
DT Article
DE carbon isotope discrimination; ecotype; ring width
ID CARBON-ISOTOPE DISCRIMINATION; GAS-EXCHANGE; PSEUDOTSUGA-MENZIESII;
   GENETIC-VARIATION; FLOOD-TOLERANT; TREE-RINGS; WOOD; PATTERNS; CLIMATE;
   FRACTIONATION
AB Published data suggest that differences in wood cellulose carbon isotope composition (delta(13)C) and xylem ring width among natural populations of Scots pine in Scotland (Pinus sylvestris L.) are attributable to the persistence of palaeotypes of various post-glacial migratory origins. We assessed differences in wood cellulose delta(13)C and ring width among Scottish Scots pine populations grown in a clone bank and in natural stands at various locations in northern and central Scotland. Ring width and wood cellulose 8degreesC varied significantly among natural stands. Potential water deficit was positively correlated with wood cellulose delta(13)C and xylem ring width in the natural stands. Neither wood cellulose delta(13)C nor xylem ring width of clone bank trees correlated with any climate variables at the sites from which the trees originated, indicating little adaptation to climate for these traits. Xylem ring width showed a site x population interaction for the growth sites (i.e., natural stands versus clone bank), but wood cellulose 8degreesC did not. These results suggest that climate variation in Scotland has not resulted in significant genetic variation in wood cellulose delta(13)C or xylem ring width in post-glacial populations.
C1 Scottish Crop Res Inst, Dundee DD2 5DA, Scotland.
   Univ Cambridge, Dept Plant Sci, Cambridge CB2 3EA, England.
C3 James Hutton Institute; University of Cambridge
RP Scottish Crop Res Inst, Dundee DD2 5DA, Scotland.
EM brendel@nancy.inra.fr
RI Brendel, Oliver/B-9266-2013
OI Brendel, Oliver/0000-0003-3252-0273
CR BENNETT KD, 1984, QUATERNARY SCI REV, V3, P133, DOI 10.1016/0277-3791(84)90016-7
   BIRKS HJB, 1989, J BIOGEOGR, V16, P503, DOI 10.2307/2845208
   Birse E.L., 1970, ASSESSMENT CLIMATIC
   Brendel O, 2000, PHYTOCHEM ANALYSIS, V11, P7, DOI 10.1002/(SICI)1099-1565(200001/02)11:1<7::AID-PCA488>3.0.CO;2-U
   Brendel O, 2001, ANN FOR SCI, V58, P135, DOI 10.1051/forest:2001113
   BRENDEL O, 1998, THESIS U NEWCASTLE U
   DUPOUEY JL, 1993, PLANT CELL ENVIRON, V16, P939, DOI 10.1111/j.1365-3040.1993.tb00517.x
   Fan SH, 1999, TREE PHYSIOL, V19, P689
   FARQUHAR GD, 1989, ANNU REV PLANT PHYS, V40, P503, DOI 10.1146/annurev.pp.40.060189.002443
   FARQUHAR GD, 1982, AUST J PLANT PHYSIOL, V9, P121, DOI 10.1071/PP9820121
   FORREST GI, 1982, FORESTRY, V55, P19, DOI 10.1093/forestry/55.1.19
   FORREST GI, 1980, FORESTRY, V53, P101, DOI 10.1093/forestry/53.2.101
   FRANCEY RJ, 1982, NATURE, V297, P28, DOI 10.1038/297028a0
   GRACE J, 1990, J ECOL, V78, P601, DOI 10.2307/2260887
   Gravatt DA, 1998, TREE PHYSIOL, V18, P411
   GUY RD, 1984, CAN J BOT, V62, P1770, DOI 10.1139/b84-240
   HANDLEY LL, 1993, PLANT CELL ENVIRON, V16, P375, DOI 10.1111/j.1365-3040.1993.tb00883.x
   Jayawickrama KJS, 1997, CAN J FOREST RES, V27, P1781, DOI 10.1139/cjfr-27-11-1781
   Johnsen KH, 1999, CAN J FOREST RES, V29, P1727, DOI 10.1139/cjfr-29-11-1727
   KINLOCH BB, 1986, NEW PHYTOL, V104, P703, DOI 10.1111/j.1469-8137.1986.tb00671.x
   Livingston NJ, 1996, PLANT CELL ENVIRON, V19, P768, DOI 10.1111/j.1365-3040.1996.tb00413.x
   MAZANY T, 1980, NATURE, V287, P432, DOI 10.1038/287432a0
   MEINZER FC, 1992, OECOLOGIA, V91, P305, DOI 10.1007/BF00317617
   MEINZER FC, 1990, PLANT PHYSIOL, V92, P130, DOI 10.1104/pp.92.1.130
   Nguyen-Queyrens A, 1998, CAN J FOREST RES, V28, P766, DOI 10.1139/cjfr-28-5-766
   Pennington RE, 1999, TREE PHYSIOL, V19, P583
   PEZESHKI SR, 1993, PHOTOSYNTHETICA, V28, P423
   ROBERTSON EO, 1990, CAN J FOREST RES, V20, P357, DOI 10.1139/x90-052
   Sokal R. R., 1995, Biometry: The Principles of Statistics in Biological Research
   STEVEN H.M., 1959, NATIVE PINE WOODS SC, P1
   STUIVER M, 1984, J GEOPHYS RES-ATMOS, V89, P1731, DOI 10.1029/JD089iD07p11731
   TERAZAWA K, 1994, TREE PHYSIOL, V14, P251, DOI 10.1093/treephys/14.3.251
   TOPA MA, 1992, PHYSIOL PLANTARUM, V86, P136, DOI 10.1111/j.1399-3054.1992.tb01322.x
   Wagner PA, 1997, ANN SCI FOREST, V54, P409, DOI 10.1051/forest:19970501
   YAKIR D, 1994, GEOCHIM COSMOCHIM AC, V58, P3535, DOI 10.1016/0016-7037(94)90106-6
   ZHANG J, 1994, CAN J FOREST RES, V24, P92, DOI 10.1139/x94-014
   ZHANG JW, 1995, FUNCT ECOL, V9, P402, DOI 10.2307/2390003
   Zhang JW, 1996, FOREST ECOL MANAG, V83, P181, DOI 10.1016/0378-1127(96)03723-1
   ZHANG JW, 1993, OECOLOGIA, V93, P80, DOI 10.1007/BF00321195
NR 39
TC 3
Z9 5
U1 0
U2 5
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0829-318X
EI 1758-4469
J9 TREE PHYSIOL
JI Tree Physiol.
PD OCT
PY 2002
VL 22
IS 14
BP 983
EP 992
DI 10.1093/treephys/22.14.983
PG 10
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 604UB
UT WOS:000178638500003
PM 12359525
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Datta, R
   Chatterjee, S
AF Datta, Ranjan
   Chatterjee, Somashree
TI Indigenous land-based spirituality: climate crisis adaptations in the
   coastal regions of the Rakhine Indigenous community in Bangladesh
SO JOURNAL OF ENVIRONMENTAL STUDIES AND SCIENCES
LA English
DT Article; Early Access
DE Indigenous; Spirituality; Indigenist research; Community-led solutions
AB This study investigates the interplay between Indigenous land-based spirituality and climate crisis adaptation within the Rakhine Indigenous community in coastal Bangladesh. Using decolonial and Indigenist theoretical frameworks, it highlights how traditional land-based knowledge, rooted in spiritual practices and ethical values, showcases sustainable environmental governance and community adaption. Using Indigenous story-sharing as an Indigenist research methodology, the research engaged with Rakhine Elders and Knowledge-keepers, uncovering themes of interconnectedness, environmental stewardship, and sustainable consumption. Findings explain that Rakhine's land-based spirituality not only promotes biodiversity and disaster resilience but also fosters ethical community behaviors critical for adapting to the climate crisis. However, colonial educational systems unrecognize this critical knowledge, alienating younger generations from their land-based sustainable heritage. The study advocates implementing Indigenous land-based Knowledge into mainstream curricula and climate policies to bridge cultural and generational divides. Documenting Rakhine Indigenous land-based knowledge, it addresses gaps in research and policy, highlighting the necessity of equitable representation and investment in preserving this wisdom. Academically, the study enriches discourses on decolonial methodologies and environmental ethics. Societally, it contributes to inclusive climate adaptation strategies, offering a sustainable model of climate justice. The research emphasizes that the implementation of Indigenous land-based spirituality is critical for sustainable responses to the climate crisis.
C1 [Datta, Ranjan] Mt Royal Univ, Canada Res Chair Community Disaster Res, Dept Humanities, Indigenous Studies, Calgary, AB, Canada.
   [Chatterjee, Somashree] UNIV MANITOBA, Nat Resource Inst NRI, WINNIPEG, MB, Canada.
RP Datta, R (corresponding author), Mt Royal Univ, Canada Res Chair Community Disaster Res, Dept Humanities, Indigenous Studies, Calgary, AB, Canada.
EM rdatta@mtroyal.ca; somashree.ku@gmail.com
FU First author's Canada Research Chair Program
FX This research was funded through the first author's Canada Research
   Chair Program.
CR Absolon K., 2020, Journal of Indigenous Social Development, V9, P19
   Adnan S., 2004, Migration, Land Alienation and Ethnic Conflict: Causes of Poverty in the Chittagong Hill Tracts of Bangladesh
   Ali A., 2022, Journal of Indigenous Studies, V12, P34
   Barua B, 2007, Int Educ, V37
   Barua B, 2004, Unpublished Ph.D. dissertation
   Barua BP, 2005, CAN J DEV STUD, V26, P233
   Barua P., 2018, Political Anthropol Rev, V23, P56
   Chakma S., 2019, Indigenous Stud J, V15, P45
   Chowdhury MSH, 2008, INT C MOUNT FOR CHAN
   Crossfield S, 2005, COMMIMITY WORK FAM, V8, P211, DOI 10.1080/13668800500049779
   Datta R., 2022, Indigenous trans-systemic research approach. Qual Inq, V28, P694
   Datta R, 2018, Land-water management and sustainability in Bangladesh: Indigenous practices in the Chittagong Hill Tracts
   Datta R, 2023, Global Shifts in Qualitative Inquiry, P85
   Datta R, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16020769
   Datta R, 2015, LOCAL ENVIRON, V20, P102, DOI 10.1080/13549839.2013.818957
   Devkota KH, 2020, A spiritual dimension of Buddhism for environmental protection
   Dylan A, 2016, J RELIG SPIRITUAL SO, V35, P108, DOI 10.1080/15426432.2015.1067589
   Garcia C., 2023, J Cult Herit Manag, V10, P321
   Gupta R, 2015, J CLIN DIAGN RES, V9, pZC15, DOI 10.7860/JCDR/2015/12218.6279
   Gustavsson S., 1990, Primary Education in Bangladesh, for Whom?
   Hasan MT, 2010, Grassroots Voice, V7
   Itchuaqiyaq CanaUluak., 2021, Communication Design Quarterly, V9, P20, DOI [10.1145/3437000.3437002, DOI 10.1145/3437000.3437002, 10.1145/3437000.3437001, DOI 10.1145/3437000.3437001]
   IWGIA, 2023, Indigenous peoples in Bangladesh
   Johnson WG, 2020, J LAW MED ETHICS, V48, P681, DOI 10.1177/1073110520979374
   Kapaeeng Foundation, 2017, Land grabbing dropped Rakhaine population to 5 percent in coastal region in Bangladesh
   Kovach M, 2015, QUALITATIVE INQUIRY-PAST, PRESENT, AND FUTURE: A CRITICAL READER, P372
   Mannan A, 2016, Int J Bus Soc Sci Res, V4, P157
   Martin G., 2018, INDIGENOUS RES THEOR, P187
   Miller K., 2019, Int J Commun Dev, V12, P45
   Ned L, 2022, Handbook of Qualitative cross-cultural research methods: a social science perspective, P40
   Rahaman ZA, 2022, BUILD ENVIRON, V222, DOI 10.1016/j.buildenv.2022.109335
   Rahman M., 2021, J Coast Indigenous Stud, V10, P12
   Rahman MM, 2022, INT J DISAST RISK RE, V83, DOI 10.1016/j.ijdrr.2022.103449
   Rahman MS, 2021, SCI TOTAL ENVIRON, V762, DOI 10.1016/j.scitotenv.2020.143161
   Roy P, 2023, Conversation with silence: an introduction of the spirituality and healing system of the Bangladeshi Rakhain community, DOI [10.2139/ssrn.4539913, DOI 10.2139/SSRN.4539913]
   Shaffril HAM, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120595
   Smith J., 2017, Indigenous pathways, transitions and participation in Higher Education: From policy to practice, P31, DOI DOI 10.1007/978-981-10-4062-7_3
   Smith J., 2021, Environ Stud J, V15, P87
   Smith L.T., 2018, INDIGENOUS DECOLONIZ, P159, DOI DOI 10.4324/9780429505010
   The UNEP, 2023, Annual report 2023
   Tsosie Rebecca., 2007, U COLORADO LAW REV, V78, P1625, DOI DOI 10.3868/S050-004-015-0003-8
   Uddin S., 2020, Environ Stud Q, V19, P98
   Williams S, 2008, SOC FORCES, V87, P1115
   Wilson S, 2013, CONTEMP SOC WORK ST, P311
NR 44
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 2190-6483
EI 2190-6491
J9 J ENVIRON STUD SCI
JI J. Environ. Stud. Sci.
PD 2024 DEC 23
PY 2024
DI 10.1007/s13412-024-00998-y
EA DEC 2024
PG 13
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA R2C1G
UT WOS:001389585000001
DA 2025-01-10
ER

PT J
AU Wollmar, M
   Post, A
   Sjöberg, A
AF Wollmar, Mari
   Post, Anna
   Sjoberg, Agneta
TI Food choice, activity level, and carbon footprint: exploring potential
   for sustainable food consumption practices in young adults
SO FRONTIERS IN NUTRITION
LA English
DT Article
DE plant-based; protein intake; climate impact; sports nutrition;
   sustainability; sustainable diets
ID METABOLIC-RATE
AB This study aims to explore climate consciousness in relation to food consumption in young adults, examining its relationship with physical activity level and gender. A mixed-method approach is utilized, integrating seven-day food records and semi-structured interviews, employing social practice theory in our analytical framework. Our cohort of 47 participants (25 women, 22 men) displays varied diets, from omnivores to vegans. Moderately-active women show the lowest carbon footprint, favoring climate-conscious choices related to lower energy needs and plant-based preferences. Highly-active individuals consume more energy, resulting in a higher carbon footprint. Gender differences are evident, women were inclined to climate-conscious food practices motivated by animal ethics and health concerns. Conversely, men demonstrated a tendency for meat consumption. Participants share an understanding of carbon footprint, reflecting a solid awareness of food-related climate impact but differ in priorities; performance for highly-active, and economy for moderately-active. This highlights a mix of commonalities and distinctions, informing flexible, sustainable food practices. Higher activity levels are linked to greater energy needs and a higher carbon footprint. Moderately-active women show the most climate-conscious food choices, leading to the lowest carbon footprint. Our findings indicate that highly-active individuals and men have significant potential to improve climate-adapted food consumption.
C1 [Wollmar, Mari; Post, Anna; Sjoberg, Agneta] Gothenburg Univ, Dept Food & Nutr & Sport Sci, Gothenburg, Sweden.
C3 University of Gothenburg
RP Wollmar, M (corresponding author), Gothenburg Univ, Dept Food & Nutr & Sport Sci, Gothenburg, Sweden.
EM mari.wollmar@gu.se
FX The author(s) declare that no financial support was received for the
   research, authorship, and/or publication of this article.
CR Aiking H, 2020, TRENDS FOOD SCI TECH, V105, P515, DOI 10.1016/j.tifs.2018.07.008
   [Anonymous], 2022, IBM SPSS Statistics for Windows (Version 29.0) [Computer software]
   [Anonymous], 2022, Climate Change and Land: IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems
   Beal T, 2023, LANCET PLANET HEALTH, V7, pE233, DOI 10.1016/S2542-5196(23)00006-2
   Bennett Tony, 2012, DYNAMICS SOCIAL PRAC, DOI DOI 10.4135/9781446250655
   Black AE, 2000, INT J OBESITY, V24, P1119, DOI 10.1038/sj.ijo.0801376
   Bull FC, 2020, BRIT J SPORT MED, V54, P1451, DOI 10.1136/bjsports-2020-102955
   Carlsson-Kanyama A, 2009, AM J CLIN NUTR, V89, pS1704, DOI 10.3945/ajcn.2009.26736AA
   Collier ES, 2021, APPETITE, V167, DOI 10.1016/j.appet.2021.105643
   Compher C, 2006, J AM DIET ASSOC, V106, P881, DOI 10.1016/j.jada.2006.02.009
   Cucurachi S, 2019, ONE EARTH, V1, P292, DOI 10.1016/j.oneear.2019.10.014
   de Vries M, 2010, LIVEST SCI, V128, P1, DOI 10.1016/j.livsci.2009.11.007
   Domellöf M, 2024, FOOD NUTR RES, V68, DOI 10.29219/fnr.v68.10451
   Eckl MR, 2021, NUTRIENTS, V13, DOI 10.3390/nu13103602
   European Commission and Directorate-General for Communication, 2021, European green deal delivering on our targets
   Fia M, 2023, HIGH EDUC POLICY, V36, P599, DOI 10.1057/s41307-022-00277-x
   Floren B., 2017, International Journal on Food System Dynamics, V8, P72
   Halkier B, 2023, APPETITE, V183, DOI 10.1016/j.appet.2023.106487
   Hallström E, 2021, J CLEAN PROD, V306, DOI 10.1016/j.jclepro.2021.127189
   Heydenreich J, 2017, SPORTS MED-OPEN, V3, DOI 10.1186/s40798-017-0076-1
   Hjorth T, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-019-56924-8
   Keller M, 2016, ENVIRON POLICY GOV, V26, P75, DOI 10.1002/eet.1702
   Kristiansson E, 2023, BMC MED RES METHODOL, V23, DOI 10.1186/s12874-023-01868-x
   Lynch S, 2014, RES ETH ISS ORG, V12, P75, DOI 10.1108/S1529-209620140000012006
   Marshall M., 2016, Hllbarhet till Middag: En Etnologisk Studie Om Hur Miljvnligt tande Praktiseras i Vardagslivet
   Masset G, 2014, J ACAD NUTR DIET, V114, P862, DOI 10.1016/j.jand.2014.02.002
   Melin A, 2016, SCAND J MED SCI SPOR, V26, P1060, DOI 10.1111/sms.12516
   Meyer NL, 2020, CURR NUTR REP, V9, P147, DOI 10.1007/s13668-020-00318-0
   Middlemiss L, 2011, SOC NATUR RESOUR, V24, P1157, DOI 10.1080/08941920.2010.518582
   Naturvardsverket, 2022, Konsumtionsbaserade Vaxthusgasutslapp per Person Och Ar
   Patterson E, 2021, BMC PUBLIC HEALTH, V21, DOI 10.1186/s12889-021-11256-z
   Ran Y, 2024, LANCET PLANET HEALTH, V8, pe172, DOI 10.1016/S2542-5196(24)00006-8
   Rini L, 2024, FOOD QUAL PREFER, V113, DOI 10.1016/j.foodqual.2023.105059
   Romani S, 2018, APPETITE, V121, P215, DOI 10.1016/j.appet.2017.11.093
   Sánchez LA, 2021, INT J PUBLIC HEALTH, V66, DOI 10.3389/ijph.2021.1604149
   Spendrup S, 2022, FOOD QUAL PREFER, V102, DOI 10.1016/j.foodqual.2022.104673
   Stubbendorff A, 2022, AM J CLIN NUTR, V115, P705, DOI 10.1093/ajcn/nqab369
   UN General Assembly, 2015, Proceedings of the General Assembly 70 session 1523 December 2015. A/RES/70/1
   Valente TW, 2007, HEALTH EDUC BEHAV, V34, P881, DOI 10.1177/1090198106297855
   van der Horst H, 2023, APPETITE, V187, DOI 10.1016/j.appet.2023.106585
   Waldman Kurt B, 2023, Appetite, V180, P106335, DOI 10.1016/j.appet.2022.106335
   Warde A, 2017, CONSUM PUBLIC LIFE, P1, DOI 10.1057/978-1-137-55682-0
   Warde A., 2005, Journal of consumer culture, V5, P131, DOI DOI 10.1177/1469540505053090
   White SK, 2022, APPETITE, V175, DOI 10.1016/j.appet.2022.106037
   Willett W, 2019, LANCET, V393, P447, DOI 10.1016/S0140-6736(18)31788-4
   Wollmar M, 2022, INT J FOOD SCI NUTR, V73, P1132, DOI 10.1080/09637486.2022.2141208
   Wood KL, 2021, EAT BEHAV, V40, DOI 10.1016/j.eatbeh.2020.101460
   wwf, The WWF Sweden One Planet Plate
NR 48
TC 1
Z9 1
U1 4
U2 4
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2296-861X
J9 FRONT NUTR
JI Front. Nutr.
PD AUG 20
PY 2024
VL 11
AR 1449054
DI 10.3389/fnut.2024.1449054
PG 10
WC Nutrition & Dietetics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Nutrition & Dietetics
GA E5N2Q
UT WOS:001303461100001
PM 39229588
OA gold
DA 2025-01-10
ER

PT J
AU Kompas, T
   Che, TN
   Grafton, RQ
AF Kompas, Tom
   Che, Tuong Nhu
   Grafton, R. Quentin
TI Non-market value losses to coastal ecosystem services and wetlands from
   sea-level rise and storm surge, 2050 to 2100: The Kimberley Region,
   Western Australia
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Climate change; Kimberly region; Ecosystem services; Coastal inundation;
   Wetlands; Adaptation
AB Accelerating climate change from the thermal expansion of oceans and losses from terrestrial glaciers and ice sheets causes sea level rise (SLR), damaging coastal ecosystems and generating non-market value losses. Using an innovative Artificial Intelligence (AI) projection method and 18 existing geographical SLR projections, we project future sea level rise and storm surge (SLR/S) for the 1600 km coastline of the Kimberley Region, Western Australia, a region with a larger surface area than Great Britain, Ireland, and Portugal combined and with a permanent population of 40,000 people of which more than 16,000 identify as Indigenous. Using our projected coastal area inundation from future SLR, we estimated the non-market value losses of the Kimberley's coastal ecosystem and wetlands with projected SLR/S to 2050 and 2100 for Representative Concentration Pathway (RCPs) 4.5 and 8.5. Average annual non-market losses from SLR/S in 2050 and 2100 in the Kimberley are large relative to the size of the regional economy and are estimated to range from A$2.7 to A$4.3 billion (2050) and A $8.1 to A$15.8 billion (2100), depending on the RCP and temperature pathway. Our findings highlight the need for adequately resourced community-based approaches to climate adaptation.
C1 [Kompas, Tom] Univ Melbourne, Fac Sci, Ctr Excellence Biosecur Risk Anal, Melbourne, Vic, Australia.
   [Kompas, Tom] Univ Melbourne, Fac Sci, Ctr Environm & Econ Res, Sch Biosci, Melbourne, Vic, Australia.
   [Kompas, Tom] Univ Melbourne, Fac Sci, Sch Food Agr & Ecosyst Sci, Melbourne, Vic, Australia.
   [Che, Tuong Nhu] Global Environm & Econ Modelling GEEM, Canberra, ACT, Australia.
   [Grafton, R. Quentin] Australian Natl Univ, Crawford Sch Publ Policy, Canberra, ACT, Australia.
C3 University of Melbourne; University of Melbourne; University of
   Melbourne; Australian National University
RP Kompas, T (corresponding author), Univ Melbourne, Fac Sci, Ctr Excellence Biosecur Risk Anal, Melbourne, Vic, Australia.; Kompas, T (corresponding author), Univ Melbourne, Fac Sci, Ctr Environm & Econ Res, Sch Biosci, Melbourne, Vic, Australia.; Kompas, T (corresponding author), Univ Melbourne, Fac Sci, Sch Food Agr & Ecosyst Sci, Melbourne, Vic, Australia.
EM Tom.Kompas@unimelb.edu.a
RI Grafton, Quentin/AAS-2316-2021
OI Kompas, Tom/0000-0002-0665-0966
CR AAS, 2019, What sea-level rise means for Australia
   ABS, 2024, The Australian Statistical Geography Standard (ASGS) Digital Boundaries: State Suburb Level (SSC) Shapefiles'
   ABS, 2024, Statistics of Australia
   Akter S, 2010, CONSERV BIOL, V24, P1407, DOI 10.1111/j.1523-1739.2010.01489.x
   Amoura R, 2022, OCEAN COAST MANAGE, V219, DOI 10.1016/j.ocecoaman.2022.106041
   Blackwell B., 2006, AUSTR NZ SOC EC EC C
   BOM, 2024, Storm surge', bureau of meteorology of Australia (BOM)
   BOM, 2024, Tide gauge metadata and observed monthly sea levels and statistics
   Brownlee J., 2020, Machine Learning Mastery
   Brownlee J, 2018, Machine Learning Mastery
   Church JA, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P639
   CoastAdapt, 2024, Climate change and sea-level rise in the Australian region
   Coastalrisk, 2023, IPCC Sixth Assessment Report Update 2021', Coalstal Risk
   Costa Y, 2023, OCEAN COAST MANAGE, V236, DOI 10.1016/j.ocecoaman.2023.106490
   DELWP, 2016, Report to the Commissioner for Environmental Sustainability
   DELWP, 2020, Projection of coastal inundation and Sea Level rise', the department of environment, land, water and planning of Victoria, Australia (DELWP). Digital Data
   DWER, 2021, Western Australian climate projections summary
   EK, 2023, The Kimberley Wetlands Project. Environs Kimberley
   Feynman R., 2019, Standardization of Undersea Feature Names: International Hydrographic Organization, V1, P41
   Gallant J., 2010, SRTM-Derived 1 second digital elevation models version 1.0
   Grafton RQ, 2019, NAT SUSTAIN, V2, P907, DOI 10.1038/s41893-019-0376-1
   KDC, 2023, Kimberley: economy and community
   Kimberley, 2023, The Kimberley in western Australia facts and numbers
   Kirezci E, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67736-6
   Kompas T., 2021, Technical Report to the Department of Land
   Kuhn M, 2011, OCEAN COAST MANAGE, V54, P796, DOI 10.1016/j.ocecoaman.2011.08.005
   Leonard S., 2013, Indigenous climate change adaptation in the Kimberley region of North-western Australia. Learning from the past, adapting in the future: identifying pathways to successful adaptation in Indigenous communities, P131
   Lymburnera L., 2020, Remote Sensing of Environment, V238, P1
   Lyu KW, 2014, NAT CLIM CHANGE, V4, P1006, DOI 10.1038/NCLIMATE2397
   Macreadie PI, 2022, ONE EARTH, V5, P485, DOI 10.1016/j.oneear.2022.04.005
   Marine Waters, 2023, Fact sheet: mangroves. Marine Waters
   Markphol A, 2021, OCEAN COAST MANAGE, V212, DOI 10.1016/j.ocecoaman.2021.105846
   [Masson-Delmotte V. IPCC IPCC], 2021, Summary for Policy Makers
   McGurk S., 2023, Project to help the West Kimberley tackle climate change
   Mercy Corps, 2023, Our Resilience Approach
   METI-NASA, 2023, Shape files of countries
   Nepf H., 2021, Coastal ecosystems and climate change
   Ng WS, 2005, ENVIRON DEV ECON, V10, P201, DOI 10.1017/S1355770X04001706
   NOO, 2001, Discussion paper: non-market economic values and the south-East marine region
   Reid H., 2009, Participatory learning and Action: Community-based adaptation to climatic change
   Schuerch M, 2018, NATURE, V561, P231, DOI 10.1038/s41586-018-0476-5
   Short A.D., 2011, J. Roy. Soc. West Aust., V94
   Stoeckl N., 2021, CEBRA Project 170713
   Stoeckl N, 2023, ECOSYST SERV, V60, DOI 10.1016/j.ecoser.2023.101509
   United Nations Environment Program, 2023, Underfinanced and underprepared, DOI [10.59117/20.500.11822/43796, DOI 10.59117/20.500.11822/43796]
   Van der Ploeg S., 2010, The TEEB Valuation Database: Overview of Structure, Data and Results
   Williams AN, 2018, QUATERNARY SCI REV, V182, P144, DOI 10.1016/j.quascirev.2017.11.030
   Young R., 2018, Fabis Consulting Ltd Report to the European Environment Agency
NR 48
TC 0
Z9 0
U1 6
U2 6
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD SEP 1
PY 2024
VL 255
AR 107215
DI 10.1016/j.ocecoaman.2024.107215
EA JUN 2024
PG 8
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Oceanography; Water Resources
GA XD3K5
UT WOS:001259705500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Xu, HS
   Sheng, K
   Zhang, MY
   Zhang, JG
AF Xu, Haishun
   Sheng, Kai
   Zhang, Mingyan
   Zhang, Jinguang
TI Co-benefits balancing of low-impact development facilities on stormwater
   management and microclimate improvement on the high-rise residential
   area in Nanjing
SO URBAN CLIMATE
LA English
DT Article
DE Low -impact development; Microclimate improvement; High-rise residential
   areas; Co -benefits
ID VOLUME CAPTURE RATIO; URBAN HEAT-ISLAND; SPONGE CITY; THERMAL COMFORT;
   MODEL; CONSTRUCTION; OPTIMIZATION; TEMPERATURE; PERFORMANCE; MITIGATION
AB Numerous studies have demonstrated the effectiveness of low-impact development (LID) facilities in improving stormwater management. However, few have examined their impact on microclimate and balanced the co-benefits of stormwater management and microclimate enhancement at the residential scale. This study aimed to address this gap by selecting the total annual runoff control rate (RCR) to quantify LID facilities with varying stormwater management capabilities. It constructs a framework that integrates the stormwater management and microclimate improvement effects of LID facilities, specifically focusing on a bioretention system, across different weather conditions. A typical high-rise residential quarter in Nanjing serves as a case study. The findings indicate that LID facilities exhibit stronger microclimate improvement effects compared to general residential green spaces without LID facilities, particularly following rainfall events in summer. The microclimate improvement effects do not necessarily increase with the stormwater management capabilities, suggesting that strategies with an RCR of 70% can effectively balance stormwater management and thermal comfort improvement. Therefore, one must further consider the impact of LID facilities on microclimate based on the stormwater management capacity stipulated by relevant regulations. These findings hold important implications for developing LID strategies for climate adaptation.
C1 [Xu, Haishun; Sheng, Kai; Zhang, Jinguang] Nanjing Forestry Univ, Coll Landscape Architecture, Nanjing 210037, Peoples R China.
   [Zhang, Mingyan] China Railway 22nd Bur Grp Real Estate Dev Co Ltd, Beijing 100043, Peoples R China.
C3 Nanjing Forestry University
RP Xu, HS (corresponding author), Nanjing Forestry Univ, Coll Landscape Architecture, Nanjing 210037, Peoples R China.
EM xuhaishun@njfu.edu.cn
FU Humanities and Social Science Fund of Ministry of Education of the
   People 's Republic of China [20YJCZH190]; China Scholarship Council
   [201808320046]; Priority Academic Program Development of Jiangsu Higher
   Education Institutions (PAPD)
FX The authors have no competing interests to declare that are relevant to
   the content of this article. Partial financial support was received from
   Humanities and Social Science Fund of Ministry of Education of the
   People 's Republic of China (No. 20YJCZH190) , China Scholarship Council
   (No. 201808320046) and the Priority Academic Program Development of
   Jiangsu Higher Education Institutions (PAPD) .
CR Ayutthaya TKN, 2023, ENERGY REP, V9, P287, DOI 10.1016/j.egyr.2023.05.257
   Azizi K, 2022, URBAN CLIM, V44, DOI 10.1016/j.uclim.2022.101237
   Baek S, 2020, J ENVIRON MANAGE, V261, DOI 10.1016/j.jenvman.2019.109920
   Bruse M, 1998, ENVIRON MODELL SOFTW, V13, P373, DOI 10.1016/S1364-8152(98)00042-5
   Cao Q, 2023, WATER-SUI, V15, DOI 10.3390/w15050989
   Chen YF, 2019, HABITAT INT, V86, P91, DOI 10.1016/j.habitatint.2019.03.007
   Chicco D, 2021, PEERJ COMPUT SCI, DOI 10.7717/peerj-cs.623
   Eaton TT, 2018, J ENVIRON MANAGE, V209, P495, DOI 10.1016/j.jenvman.2017.12.068
   Eckart K, 2018, J HYDROL, V562, P564, DOI 10.1016/j.jhydrol.2018.04.068
   Emmanuel R, 2012, BUILD ENVIRON, V53, P137, DOI 10.1016/j.buildenv.2012.01.020
   Fang Y, 2023, ENVIRON RES, V237, DOI 10.1016/j.envres.2023.116857
   FOX DG, 1981, B AM METEOROL SOC, V62, P599, DOI 10.1175/1520-0477(1981)062<0599:JAQMP>2.0.CO;2
   Francesconi W, 2016, J HYDROL, V535, P625, DOI 10.1016/j.jhydrol.2016.01.034
   Fu DF, 2023, ECOL ENG, V190, DOI 10.1016/j.ecoleng.2023.106934
   Gao JY, 2021, ECOHYDROL HYDROBIOL, V21, P13, DOI 10.1016/j.ecohyd.2020.09.003
   Gu JJ, 2018, WATER RESOUR MANAG, V32, P4217, DOI 10.1007/s11269-018-2040-3
   He BJ, 2019, LAND USE POLICY, V86, P147, DOI 10.1016/j.landusepol.2019.05.003
   Höppe P, 1999, INT J BIOMETEOROL, V43, P71, DOI 10.1007/s004840050118
   Iaria J, 2022, URBAN CLIM, V46, DOI 10.1016/j.uclim.2022.101293
   Jiang Y, 2018, ENVIRON SCI POLICY, V80, P132, DOI 10.1016/j.envsci.2017.11.016
   Kim SW, 2021, RENEW SUST ENERG REV, V148, DOI 10.1016/j.rser.2021.111256
   Kong F, 2016, APPL ENERG, V183, P1428, DOI 10.1016/j.apenergy.2016.09.070
   Lai DY, 2023, URBAN CLIM, V47, DOI 10.1016/j.uclim.2022.101398
   Lai DY, 2019, SCI TOTAL ENVIRON, V661, P337, DOI 10.1016/j.scitotenv.2019.01.062
   Lee H, 2016, LANDSCAPE URBAN PLAN, V148, P37, DOI 10.1016/j.landurbplan.2015.12.004
   Li CD, 2014, LECT NOTES ELECTR EN, V261, P551, DOI 10.1007/978-3-642-39584-0_62
   Li Q, 2019, J ENVIRON MANAGE, V231, P10, DOI 10.1016/j.jenvman.2018.10.024
   Li YN, 2023, BUILD ENVIRON, V233, DOI 10.1016/j.buildenv.2023.110100
   Liang CY, 2019, J HYDROL, V577, DOI 10.1016/j.jhydrol.2019.124008
   Liu GL, 2015, NAT HAZARDS, V76, P1415, DOI 10.1007/s11069-014-1556-y
   Liu HY, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104038
   Liu ZM, 2019, ENRGY PROCED, V157, P51, DOI 10.1016/j.egypro.2018.11.163
   Liu ZX, 2021, BUILD ENVIRON, V200, DOI 10.1016/j.buildenv.2021.107939
   Middel A, 2014, LANDSCAPE URBAN PLAN, V122, P16, DOI 10.1016/j.landurbplan.2013.11.004
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Potchter O, 2018, SCI TOTAL ENVIRON, V631-632, P390, DOI 10.1016/j.scitotenv.2018.02.276
   Pour SH, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102373
   Randall M, 2019, J ENVIRON MANAGE, V246, P745, DOI 10.1016/j.jenvman.2019.05.134
   Rui LY, 2018, FORESTS, V9, DOI 10.3390/f9040224
   Sanchez L, 2019, URBAN FOR URBAN GREE, V44, DOI 10.1016/j.ufug.2019.04.014
   Saniei K, 2021, URBAN WATER J, V18, P585, DOI 10.1080/1573062X.2021.1918181
   Sun Y, 2022, NATL SCI REV, V9, DOI 10.1093/nsr/nwab113
   Taghizadeh S, 2021, URBAN FOR URBAN GREE, V60, DOI 10.1016/j.ufug.2021.127032
   Tan XY, 2021, SUSTAIN CITIES SOC, V67, DOI 10.1016/j.scs.2021.102711
   Tesfamariam S, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e13098
   Vijayaraghavan K, 2021, J ENVIRON MANAGE, V292, DOI 10.1016/j.jenvman.2021.112766
   Wang J, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100781
   Wang JS, 2019, BUILD ENVIRON, V151, P187, DOI 10.1016/j.buildenv.2019.01.033
   Wang M, 2018, J CLEAN PROD, V179, P12, DOI 10.1016/j.jclepro.2018.01.096
   Wang YF, 2019, INDOOR BUILT ENVIRON, V28, P1200, DOI 10.1177/1420326X19860884
   Weathers M, 2023, J HYDROL, V616, DOI 10.1016/j.jhydrol.2022.128771
   WILLMOTT CJ, 1982, B AM METEOROL SOC, V63, P1309, DOI 10.1175/1520-0477(1982)063<1309:SCOTEO>2.0.CO;2
   Wu ZF, 2017, LANDSCAPE URBAN PLAN, V167, P463, DOI 10.1016/j.landurbplan.2017.07.015
   Xu HS, 2023, SCI TOTAL ENVIRON, V874, DOI 10.1016/j.scitotenv.2023.162399
   Yang JY, 2021, URBAN FOR URBAN GREE, V66, DOI 10.1016/j.ufug.2021.127384
   Yang WY, 2022, J CLEAN PROD, V347, DOI 10.1016/j.jclepro.2022.131320
   Yang XS, 2020, APPL ENERG, V260, DOI 10.1016/j.apenergy.2019.114279
   Yang XS, 2013, BUILD ENVIRON, V60, P93, DOI 10.1016/j.buildenv.2012.11.008
   Yang YY, 2021, J HYDROL, V597, DOI 10.1016/j.jhydrol.2021.126151
   Yang YJ, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103802
   Yin JF, 2022, J METEOROL RES-PRC, V36, P6, DOI 10.1007/s13351-022-1166-7
   Yin ZT, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110765
   Yu ZW, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126630
   Zeng C, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2022.e12745
   Zhai J, 2021, URBAN FOR URBAN GREE, V60, DOI 10.1016/j.ufug.2021.127060
   Zhang H, 2013, APPL GEOGR, V44, P121, DOI 10.1016/j.apgeog.2013.07.021
   Zhang K, 2016, WATER SCI TECHNOL, V74, P1764, DOI 10.2166/wst.2016.307
   Zhang MJ, 2022, FRONT ARCHIT RES, V11, P278, DOI 10.1016/j.foar.2021.10.008
   Zhang WL, 2023, ECOL ENG, V194, DOI 10.1016/j.ecoleng.2023.107049
   Zhang ZM, 2022, J HYDROL, V613, DOI 10.1016/j.jhydrol.2022.128418
   Zhao QS, 2018, URBAN FOR URBAN GREE, V32, P81, DOI 10.1016/j.ufug.2018.03.022
   Zhao XX, 2022, URBAN CLIM, V45, DOI 10.1016/j.uclim.2022.101274
   Zhou JJ, 2018, WATER-SUI, V10, DOI 10.3390/w10070937
NR 73
TC 1
Z9 1
U1 29
U2 30
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD MAY
PY 2024
VL 55
AR 101904
DI 10.1016/j.uclim.2024.101904
EA APR 2024
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA RI3J2
UT WOS:001226992700001
DA 2025-01-10
ER

PT J
AU Hoheneder, F
   Groth, J
   Herz, M
   Hückelhoven, R
AF Hoheneder, Felix
   Groth, Jennifer
   Herz, Markus
   Hueckelhoven, Ralph
TI Artificially applied late-terminal drought stress in the field
   differentially affects Ramularia leaf spot disease in winter barley
SO JOURNAL OF PLANT DISEASES AND PROTECTION
LA English
DT Article
DE Ramularia collo-cygni; Physiological leaf spot; Winter barley; Climate
   adaptation; Drought stress; Phenotyping; Rainout shelter
ID COLLO-CYGNI; CLIMATE-CHANGE; EMERGING PATHOGEN; ACTIVE RUBELLINS;
   PLANT-PATHOGENS; RESISTANCE; IMPACT; EPIDEMICS; BIOLOGY
AB Ramularia leaf spot disease (RLS) is one of the most dominating fungal diseases in barley. The disease typically appears late in the season after flowering and results in a rapid loss of photosynthetic leaf area. A recent decline in fungicide efficacy and a lack of RLS-resistant cultivars hamper effective control. Global warming will provoke increasing droughts which influence host plant physiology and probably affect outbreak and severity of RLS. Relatively little is known about genetic resistance to RLS in winter barley and about the influence of various weather conditions and climate change on RLS pathogenesis. Hence, we evaluated severity of RLS on 15 winter barley genotypes under persistent late-terminal drought stress or controlled irrigation, respectively, in a field rainout shelter. Over three consecutive years, we observed reproducible differences in quantitative RLS field resistance of the used cultivars and variable suppression of RLS under drought. Our results support a function of drought in suppression of RLS in winter barley, but also reveal strong year effects even under semi-controlled rainout shelter conditions. Data may be relevant for genotype selection in breeding programmes for RLS resistance and for farmers in the frame of integrated disease management under a changing climate.
C1 [Hoheneder, Felix; Hueckelhoven, Ralph] Tech Univ Munich, TUM Sch Life Sci, Hans Eisenmann Forum Agr Sci, Freising Weihenstephan, Germany.
   [Groth, Jennifer; Herz, Markus] Bavarian State Res Ctr Agr LfL, Inst Crop Sci & Plant Breeding, Freising Weihenstephan, Germany.
C3 Technical University of Munich
RP Hückelhoven, R (corresponding author), Tech Univ Munich, TUM Sch Life Sci, Hans Eisenmann Forum Agr Sci, Freising Weihenstephan, Germany.
RI Huckelhoven, Ralph/H-6676-2013
OI Huckelhoven, Ralph/0000-0001-5632-5451
FU Projekt DEAL; Bavarian State Ministry of the Environment and Consumer
   Protection [10: TGC01GCUFuE69781]
FX & nbsp;Open Access funding enabled and organized by Projekt DEAL. This
   project was financially supported by the Bavarian State Ministry of the
   Environment and Consumer Protection in frame of the Project network
   BayKlimaFit (www.bayklimafit.de); subproject 10: TGC01GCUFuE69781.
CR Agrarmeteorologie Bayern, 2022, US
   Anderson PK, 2004, TRENDS ECOL EVOL, V19, P535, DOI 10.1016/j.tree.2004.07.021
   Assinger T, 2022, EUR J PLANT PATHOL, V162, P575, DOI 10.1007/s10658-021-02422-5
   Assinger T, 2021, J PLANT DIS PROTECT, V128, P735, DOI 10.1007/s41348-021-00454-x
   Brown J, 2014, COCHRANE DB SYST REV, DOI 10.1002/14651858.CD009590.pub2
   Chakraborty S, 2000, ENVIRON POLLUT, V108, P317, DOI 10.1016/S0269-7491(99)00210-9
   Choudhary A, 2022, PLANT CELL ENVIRON, V45, P1127, DOI 10.1111/pce.14275
   CROSSA J, 1990, CROP SCI, V30, P493, DOI 10.2135/cropsci1990.0011183X003000030003x
   Dreiseitl A, 2011, ANN APPL BIOL, V159, P49, DOI 10.1111/j.1744-7348.2011.00474.x
   Dussart F, 2018, MOL PLANT MICROBE IN, V31, P962, DOI [10.1094/MPMI-12-17-0299-R, 10.1094/mpmi-12-17-0299-r]
   Dussart F., 2020, ELS, P1, DOI [10.1002/9780470015902.a0028896, DOI 10.1002/9780470015902.A0028896]
   Erreguerena IA, 2022, J PLANT DIS PROTECT, V129, P1343, DOI 10.1007/s41348-022-00645-0
   Formayer H, 2002, SPRENKELKRANKHEIT GE, P1
   Fraaije BA, 1999, J APPL MICROBIOL, V86, P701, DOI 10.1046/j.1365-2672.1999.00716.x
   Frei PF, 2007, J PHYTOPATHOL, V155, P281, DOI 10.1111/j.1439-0434.2007.01228.x
   German Weather Service, 2022, About us
   Havis ND, 2023, AEROBIOLOGIA, V39, P105, DOI 10.1007/s10453-022-09778-z
   Havis ND, 2014, PLANT PATHOL, V63, P929, DOI 10.1111/ppa.12162
   Havis ND, 2015, PHYTOPATHOLOGY, V105, P895, DOI 10.1094/PHYTO-11-14-0337-FI
   Heiser I, 2003, PHYSIOL MOL PLANT P, V62, P29, DOI 10.1016/S0885-5765(03)00007-9
   Hofer K, 2016, CROP PROT, V88, P18, DOI 10.1016/j.cropro.2016.05.007
   Hoheneder F, 2023, bioRxiv, DOI [10.1101/2023.02.15.528674, 10.1101/2023.02.15.528674, DOI 10.1101/2023.02.15.528674]
   Hoheneder F, 2021, J PLANT DIS PROTECT, V128, P749, DOI 10.1007/s41348-020-00420-z
   Hossain M, 2019, TREE PHYSIOL, V39, P6, DOI 10.1093/treephys/tpy113
   Irulappan V, 2022, MOL PLANT MICROBE IN, V35, P583, DOI 10.1094/MPMI-07-21-0195-FI
   Juroszek P, 2013, J AGR SCI-CAMBRIDGE, V151, P163, DOI 10.1017/S0021859612000500
   Kiiker R, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9071514
   Liu XL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0167304
   Mae A., 2022, ENCYCLOPEDIA, V2, P256, DOI [10.3390/encyclopedia2010017, DOI 10.3390/ENCYCLOPEDIA2010017]
   Maier J., 1993, Gesunde Pflanzen, V45, P123
   Marík P, 2011, CZECH J GENET PLANT, V47, P37, DOI 10.17221/34/2010-CJGPB
   Matusinsky P, 2011, J PLANT PATHOL, V93, P679
   Matusinsky P, 2010, J PLANT DIS PROTECT, V117, P248, DOI 10.1007/BF03356369
   McGrann G. R. D., 2017, Outlooks on Pest Management, V28, P65, DOI 10.1564/v28_apr_05
   McGrann GRD, 2015, MOL PLANT PATHOL, V16, P201, DOI 10.1111/mpp.12173
   Miedaner T, 2021, THEOR APPL GENET, V134, P1771, DOI 10.1007/s00122-021-03807-0
   Miethbauer S, 2003, J PHYTOPATHOL, V151, P665, DOI 10.1046/j.1439-0434.2003.00783.x
   Miethbauer S, 2006, PHYTOCHEMISTRY, V67, P1206, DOI 10.1016/j.phytochem.2006.05.003
   Munné-Bosch S, 2004, FUNCT PLANT BIOL, V31, P203, DOI 10.1071/FP03236
   Munns R, 2023, J EXP BOT, V74, P4308, DOI 10.1093/jxb/erad179
   Oxley S. J. P., 2002, DEV RATIONALE IDENTI
   Pinnschmidt HO., 2009, ASP APPL BIOL, V92, P57
   Purchase J. L., 2000, South African Journal of Plant and Soil, V17, P101
   Rehfus A, 2019, J PLANT DIS PROTECT, V126, P447, DOI 10.1007/s41348-019-00246-4
   Röhrig L, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11121615
   Schützendübel A, 2008, PLANT PATHOL, V57, P518, DOI 10.1111/j.1365-3059.2007.01820.x
   Sewelam N, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10091946
   Shah J, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac6888
   Sinha R, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00902
   Sjokvist E, 2019, MOL PLANT MICROBE IN, V32, P176, DOI 10.1094/MPMI-05-18-0113-R
   Su ZY, 2021, BMC PLANT BIOL, V21, DOI 10.1186/s12870-020-02818-1
   Taylor JMG, 2010, LETT APPL MICROBIOL, V50, P493, DOI 10.1111/j.1472-765X.2010.02826.x
   Tetlow IJ, 2017, AGRONOMY-BASEL, V7, DOI 10.3390/agronomy7040081
   Tischner H., 2006, Gesunde Pflanzen, V58, P34, DOI 10.1007/s10343-005-0103-x
   Walters DR, 2008, FEMS MICROBIOL LETT, V279, P1, DOI 10.1111/j.1574-6968.2007.00986.x
   Wenzel A, 2015, METABOLOMICS, V11, P454, DOI 10.1007/s11306-014-0708-0
   West JS, 2012, EUR J PLANT PATHOL, V133, P315, DOI 10.1007/s10658-011-9932-x
   Zebisch M, 2005, REPORT COMMISSIONED
   Zhang HN, 2017, PLANT J, V90, P839, DOI 10.1111/tpj.13557
NR 59
TC 1
Z9 1
U1 3
U2 8
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1861-3829
EI 1861-3837
J9 J PLANT DIS PROTECT
JI J. Plant Dis. Prot.
PD DEC
PY 2023
VL 130
IS 6
BP 1357
EP 1370
DI 10.1007/s41348-023-00790-0
EA AUG 2023
PG 14
WC Agriculture, Multidisciplinary; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA U7JR5
UT WOS:001051785600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Kumar, S
   Khanna, M
AF Kumar, Surender
   Khanna, Madhu
TI Distributional heterogeneity in climate change impacts and adaptation:
   Evidence from Indian agriculture
SO AGRICULTURAL ECONOMICS
LA English
DT Article
DE climate adaptation; climate change; crop yields; panel data; quantile
   regressions
ID ECONOMIC-IMPACTS; QUANTILE REGRESSION; TEMPERATURE; WEATHER; GROWTH;
   TRENDS; YIELDS; CROPS; RICE; CORN
AB This study estimates the distributional heterogeneity in the effects of climate change on yields of three major cereal crops: rice, maize, and wheat in India using district-level information for the period 1966-2015. We distinguish between the effects of changes in growing season weather from those due to changes in long-term climate trends and the heterogeneity in these effects across the distribution of crop yields by estimating naive and climate penalty inclusive models using fixed-effect quantile panel models. We observe an absence of adaptation against rising temperatures for rice and wheat. However, we find a statistically significant presence of adaptation for wheat and maize for changes in precipitation, though the magnitude is small. Moreover, we find that the effects are asymmetric, and are larger at the lower tail of productivity distribution and smaller at the upper tail of the distribution. A 1 degrees C increase in temperature lowers rice and wheat productivity by 23% and 9%, respectively at the first quantile, but the damage is only 6% and 5% at the ninth quantile. Heterogeneity in impacts and adaptation estimates over the yield distribution curve and across crops suggests the importance of customizing strategies for adaptation to changing weather and climate conditions across regions, crops, and current productivity levels.
C1 [Kumar, Surender] Univ Delhi, Delhi Sch Econ, Dept Econ, Delhi, India.
   [Khanna, Madhu] Univ Illinois, Dept Agr & Consumer Econ, Urbana, IL 61801 USA.
C3 Delhi School of Economics; University of Delhi; University of Illinois
   System; University of Illinois Urbana-Champaign
RP Khanna, M (corresponding author), Univ Illinois, Dept Agr & Consumer Econ, Urbana, IL 61801 USA.
EM khanna1@illinois.edu
RI Kumar, Surender/AAF-6463-2021
OI Pandey, Alok Kumar/0000-0001-5604-3243
CR Alfaro EJ, 2006, J CLIMATE, V19, P1407, DOI 10.1175/JCLI3665.1
   Auffhammer M, 2014, ENERG ECON, V46, P555, DOI 10.1016/j.eneco.2014.09.010
   Barnwal P, 2013, ECOL ECON, V87, P95, DOI 10.1016/j.ecolecon.2012.11.024
   [Barros V.R. IPCC IPCC], 2014, Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, P1, DOI DOI 10.1017/CBO9781107415386
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   Chen SA, 2016, J ENVIRON ECON MANAG, V76, P105, DOI 10.1016/j.jeem.2015.01.005
   Commuri PD, 2001, CROP SCI, V41, P1122, DOI 10.2135/cropsci2001.4141122x
   Cui X., 2020, 2020 ANN M ALLIED SO
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   DePaula G., 2018, 18WP583 IOW STAT U D
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Deschenes O, 2011, CLIMATIC CHANGE, V109, P365, DOI 10.1007/s10584-011-0322-3
   Fishman R, 2018, CLIMATIC CHANGE, V147, P195, DOI 10.1007/s10584-018-2146-x
   Galvao A. F., 2017, HDB QUANTILE REGRESS, P363
   Government of India, 2019, AGR STAT GLANC 2019
   Guntukula R., 2020, STUD MICROECON, V8, P119, DOI [10.1177/2321022220923197, DOI 10.1177/2321022220923197]
   Hatfield JL, 2011, AGRON J, V103, P351, DOI 10.2134/agronj2010.0303
   Hatfield JL, 2015, WEATHER CLIM EXTREME, V10, P4, DOI 10.1016/j.wace.2015.08.001
   Hendricks NP, 2018, J ASSOC ENVIRON RESO, V5, P545, DOI 10.1086/697305
   Kim HY, 1996, JPN J CROP SCI, V65, P644, DOI 10.1626/jcs.65.644
   Koenker R, 2004, J MULTIVARIATE ANAL, V91, P74, DOI 10.1016/j.jmva.2004.05.006
   KOENKER R, 1982, ECONOMETRICA, V50, P43, DOI 10.2307/1912528
   Lobell DB, 2007, AGR FOREST METEOROL, V145, P229, DOI 10.1016/j.agrformet.2007.05.002
   Lobell DB, 2012, PLANT PHYSIOL, V160, P1686, DOI 10.1104/pp.112.208298
   Machado JAF, 2019, J ECONOMETRICS, V213, P145, DOI 10.1016/j.jeconom.2019.04.009
   Malikov E, 2020, J ENVIRON ECON MANAG, V104, DOI 10.1016/j.jeem.2020.102386
   Mendelsohn R, 2006, ENVIRON DEV ECON, V11, P159, DOI 10.1017/S1355770X05002755
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Mérel P, 2021, AM J AGR ECON, V103, P1207, DOI 10.1111/ajae.12200
   Miao RQ, 2016, AM J AGR ECON, V98, P191, DOI 10.1093/ajae/aav025
   Moore FC, 2015, P NATL ACAD SCI USA, V112, P2670, DOI 10.1073/pnas.1409606112
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Schlenker W., 2017, Working Paper
   Schlenker W, 2006, REV AGR ECON, V28, P391, DOI 10.1111/j.1467-9353.2006.00304.x
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Scott M., 2018, CLIMATE NEWS STORIES
   Tack J, 2011, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8d27
   Tao FL, 2006, AGR FOREST METEOROL, V138, P82, DOI 10.1016/j.agrformet.2006.03.014
   Taraz V, 2018, WORLD DEV, V112, P205, DOI 10.1016/j.worlddev.2018.08.006
   Taraz V, 2017, ENVIRON DEV ECON, V22, P517, DOI [10.1017/S1355770X17000195, 10.1017/s1355770x17000195]
   Tol RSJ, 2004, GLOBAL ENVIRON CHANG, V14, P259, DOI 10.1016/j.gloenvcha.2004.04.007
   Van Passel S, 2017, ENVIRON RESOUR ECON, V67, P725, DOI 10.1007/s10640-016-0001-y
   Yu CF, 2021, SAGE OPEN, V11, DOI 10.1177/21582440211040794
   Yu TA, 2010, AM J AGR ECON, V92, P1310, DOI 10.1093/ajae/aaq074
   Zhang P, 2017, J ENVIRON ECON MANAG, V83, P8, DOI 10.1016/j.jeem.2016.12.001
NR 45
TC 3
Z9 3
U1 4
U2 30
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0169-5150
EI 1574-0862
J9 AGR ECON-BLACKWELL
JI Agric. Econ.
PD MAR
PY 2023
VL 54
IS 2
BP 147
EP 160
DI 10.1111/agec.12765
EA FEB 2023
PG 14
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA A0KJ7
UT WOS:000936446100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Chen, J
   Fan, Y
   Wang, MH
AF Chen, Jie
   Fan, Yue
   Wang, Menghan
TI Simplified Calculation of <i>T<sub>sol</sub></i> Based on Dynamic
   Numerical Simulation of <i>T<sub>sky</sub></i> in Diverse Climates in
   China
SO SUSTAINABILITY
LA English
DT Article
DE climate adaptability; sol-air temperature; the sky temperature; building
   envelope
ID ENVIRONMENT; BUILDINGS; MODEL
AB An accurate calculation of sol-air temperature (T-sol) is very important for urban environments and building energy consumption. There are various methods that can be used to calculate T-sol by considering sky radiation effects. Climate conditions are vital factors affecting sky temperature (T-sky). In this paper, in order to select an appropriate calculation method to determine long-wave radiation, a theoretical analysis was carried out based on the effect of T-sky on the thermal gain of building envelopes due to long-wave radiation. Typical annual meteorological data were selected to calculate T-sol for 10 meteorological stations covering five building thermal zones in China. The application of the T-sol model was studied using MBE as the measurement standard, and a linear regression equation for the calorific value of the envelope obtained via the T-sky estimation method and the T-sky dynamic calculation method was established. The results show that relative humidity is the key meteorological factor that affects the application of the T-sol model and that the T-sky dynamic calculation should be used to calculate long-wave radiation in regions with low relative humidity. A thermal correction equation for buildings was obtained for use in areas lacking meteorological data and to provide a basis for sustainable building design.
C1 [Chen, Jie; Fan, Yue; Wang, Menghan] Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China.
   [Fan, Yue] Shenzhen Ctr Human Oriented Environm & Sustainable, Shenzhen 518060, Peoples R China.
C3 Shenzhen University
RP Fan, Y (corresponding author), Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China.; Fan, Y (corresponding author), Shenzhen Ctr Human Oriented Environm & Sustainable, Shenzhen 518060, Peoples R China.
EM yfan@szu.edu.cn
OI jie, chen/0000-0003-2899-7087
FU National Natural Science Foundation of China;  [52178020]
FX This research was funded by the National Natural Science Foundation of
   China, grant number no. 52178020.
CR Al-janabi A, 2019, J BUILD ENG, V22, P262, DOI 10.1016/j.jobe.2018.12.022
   [Anonymous], 2006, Environmental design: CIBSE guide A
   [Anonymous], EnergyPlus weather data
   [Anonymous], 1998, 172971998 GBT
   ASHRAE, 1961, ASHRAE GUID DAT BOOK
   Chang K, 2019, J RENEW SUSTAIN ENER, V11, DOI 10.1063/1.5117319
   Elangovan R., 2017, ENERG BUILDINGS, V8, P169
   Evangelisti L, 2019, ENERG BUILDINGS, V183, P607, DOI 10.1016/j.enbuild.2018.11.037
   Forouzandeh A, 2022, BUILD SIMUL-CHINA, V15, P957, DOI 10.1007/s12273-021-0850-3
   GB 50176, 2016, Code for thermal design of civil building
   Hang J, 2022, BUILD ENVIRON, V225, DOI 10.1016/j.buildenv.2022.109618
   Li DHW, 2012, ENERGY, V42, P103, DOI 10.1016/j.energy.2012.03.044
   Liu D.L., 2019, J TSINGHUA U SCI TEC, V3, P6
   Liu S.Y., 1983, ACTA ENERG SOL SIN, V1, P6
   Lu X, 2016, RENEW SUST ENERG REV, V65, P1079, DOI 10.1016/j.rser.2016.07.058
   Naveros I, 2014, ENERG BUILDINGS, V70, P303, DOI 10.1016/j.enbuild.2013.11.076
   Nicolas L., 2019, BUILDING ENERGY MODE, V116
   OCALLAGHAN PW, 1977, APPL ENERG, V3, P307, DOI 10.1016/0306-2619(77)90017-4
   Olofsson T, 2017, ENRGY PROCED, V132, P357, DOI 10.1016/j.egypro.2017.09.632
   Zeyghami M, 2018, SOL ENERG MAT SOL C, V178, P115, DOI 10.1016/j.solmat.2018.01.015
NR 20
TC 0
Z9 0
U1 6
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2023
VL 15
IS 1
AR 839
DI 10.3390/su15010839
PG 14
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 7Q4QW
UT WOS:000909378400001
OA gold
DA 2025-01-10
ER

PT J
AU Sutton, K
   Tonge, C
   Berglund, L
   Kerr, G
   Sherren, K
AF Sutton, Krysta
   Tonge, Charlotte
   Berglund, Lisa
   Kerr, Gillian
   Sherren, Kate
TI Coastal resident perceptions of nature-based adaptation options in Nova
   Scotia
SO CANADIAN GEOGRAPHIES-GEOGRAPHIES CANADIENNES
LA English
DT Article
DE climate change; coastal adaptation; coastal flooding; Maritime
   provinces; sea-level rise
ID CLIMATE-CHANGE; PLACE ATTACHMENT; RISK PERCEPTION; LANDSCAPES; AGE
AB Climate change risks to coastal communities may overwhelm current management strategies. The emergence of nature-based solutions could provide alternative approaches for climate adaptation; however, studies on their public acceptability are limited. This research focuses on the human dimensions of nature-based coastal adaptation solutions. The research sought to understand the kind of environmental changes participants were experiencing in their coastal communities of Nova Scotia and what management responses they observed being taken, if any. Online focus groups were held with coastal property owners in Nova Scotia to understand how they assess coastal risks and four approaches to nature-based coastal adaptation: living shorelines, accommodation, retreat, and dyke realignment to make space for wetland restoration. Results revealed ongoing trust in traditional hard-line approaches, but also interest in knowing more about nature-based options. There was general support for living shorelines, albeit with scepticism; a concern that accommodation is just a "band-aid" approach; resistance to retreat, despite general recognition of its future utility; and a lack of understanding of dyke realignment. The successful implementation of nature-based coastal adaptation approaches will require more evidence of their viability, better options for financing them, and engagement with communities around the best-fit alternatives for them.
C1 [Sutton, Krysta; Kerr, Gillian; Sherren, Kate] Dalhousie Univ, Sch Resource & Environm Studies, Halifax, NS, Canada.
   [Tonge, Charlotte] Narrat Res Ltd, Halifax, NS, Canada.
   [Berglund, Lisa] Dalhousie Univ, Sch Planning, Halifax, NS, Canada.
   [Kerr, Gillian] Royal Rd Univ, Sch Environm & Sustainabil, Victoria, BC, Canada.
   [Sherren, Kate] Dalhousie Univ, Sch Resource & Environm Studies, 6100 Univ Ave,Suite 5010,POB 15000, Halifax, NS B3H 4R2, Canada.
C3 Dalhousie University; Dalhousie University; Dalhousie University
RP Sherren, K (corresponding author), Dalhousie Univ, Sch Resource & Environm Studies, 6100 Univ Ave,Suite 5010,POB 15000, Halifax, NS B3H 4R2, Canada.
EM kate.sherren@dal.ca
OI Sherren, Kate/0000-0003-1576-9878
FU Ocean Frontier Institute; Natural Resources Canada; Natural Sciences
   andEngineering Research Council of Canada [NSERC NETGP523374-18]
FX Ocean Frontier Institute,Grant/Award Number: Seed Fund Grant;Natural
   Resources Canada,Grant/Award Number: Climate ChangeAdaptation Fund;
   Natural Sciences andEngineering Research Council of Canada,Grant/Award
   Number: NSERC NETGP523374-18
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Agyeman J, 2009, ENVIRON PLANN A, V41, P509, DOI 10.1068/a41301
   [Anonymous], 2009, 2009 STAT NOV SCOT C
   [Anonymous], 2016, Canada's marine coasts in a changing climate
   [Anonymous], 2014, Reducing Coastal Risk on the East and Gulf Coasts, DOI DOI 10.17226/18811
   Baird J, 2016, WATER-SUI, V8, DOI 10.3390/w8060224
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bissett K., 2016, GLOBE MAIL
   Bowron T.M., 2012, Tidal Marsh Restoration, P191, DOI [DOI 10.5822/978-1-61091-229-713, 10.5822/978-1-61091-229-7_13, DOI 10.5822/978-1-61091-229-7_13, DOI 10.5822/978-1-61091-229-7]
   Braamskamp A., 2018, ENV MANAGE SUSTAIN D, V7, P108, DOI [10.5296/emsd.v7i2.12851, DOI 10.5296/EMSD.V7I2.12851]
   Camare HM, 2015, SOCIO-ECON PLAN SCI, V51, P34, DOI 10.1016/j.seps.2015.06.003
   Clarke D, 2018, J ENVIRON PSYCHOL, V55, P81, DOI 10.1016/j.jenvp.2017.12.006
   CoastAdapt,, 2017, WHAT SHOULD WE CONS
   Cohen SJ, 2011, ADV GLOB CHANGE RES, V42, P401, DOI 10.1007/978-94-007-0567-8_29
   Cooper JAG, 2008, GEOGR J, V174, P315, DOI 10.1111/j.1475-4959.2008.00302.x
   Cooper JAG, 2014, OCEAN COAST MANAGE, V94, P90, DOI 10.1016/j.ocecoaman.2013.09.006
   Council of Canadian Academies (CCA), 2019, CAN TOP CLIM CHANG R
   Covi MP, 2016, ENVIRON COMMUN, V10, P612, DOI 10.1080/17524032.2015.1056541
   Environment and Climate Change Canada, 2019, CAN TOP 10 WEATH STO
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Kettle NP, 2016, ENVIRON BEHAV, V48, P579, DOI 10.1177/0013916514551049
   Krawchenko T, 2016, J RURAL STUD, V44, P55, DOI 10.1016/j.jrurstud.2015.12.013
   Leys V., 2016, ADAPTING CLIMATE CHA
   Lieske DJ, 2014, ESTUAR COAST SHELF S, V140, P83, DOI 10.1016/j.ecss.2013.04.017
   Lowrie, 2018, GLOBE MAIL
   Marshall GR, 2016, WATER ALTERN, V9, P679
   Mulligan Preston, 2018, CBC News
   Rahman H.M.T., 2021, WIRES CLIM CHANGE, V34, P1268, DOI [10.1080/08941920.2021.1940405, DOI 10.1080/08941920.2021.1940405]
   Rapaport E, 2015, CAN PUBLIC POL, V41, P166, DOI 10.3138/cpp.2014-055
   Rezeski V., 2013, ENGAGING COASTAL COM
   Savard J-P, 2016, CANADAS MARINE COAST
   Sherren K., 2019, OECD Country Approaches to Tackling Coastal Risks, P111
   Sherren K, 2022, ENVIRON MANAGE, V70, P475, DOI 10.1007/s00267-022-01676-x
   Sherren K, 2016, ENERGY RES SOC SCI, V14, P102, DOI 10.1016/j.erss.2016.02.003
   Sherren K, 2016, LAND USE POLICY, V51, P267, DOI 10.1016/j.landusepol.2015.11.018
   Spurrier L., 2019, Unasylva (English ed.), V70, P67
   Statistics Canada, 2017, Statistics Canada Catalogue no. 98-316-X2016001
   Statistics Canada, 2018, POP COUNTS CAN PROV
   Statistics Canada, Demographic Estimates by Age and Gender, Provinces and Territories: Interactive Dashboard
   The Canadian Press, 2022, NATL FLOOD INSURANCE
   Thistlethwaite J, 2018, ENVIRON MANAGE, V61, P197, DOI 10.1007/s00267-017-0969-2
   Thomas DR, 2006, AM J EVAL, V27, P237, DOI 10.1177/1098214005283748
   van Proosdij D., 2021, MAKING ROOM MOVEMENT
   van Proosdij D., 2016, Adapting to Climate Change in Coastal Communities of the Atlantic Provinces, Canada: Land Use Planning and Engineering and Natural Approaches, Part 1: Guidance for Selecting Adaptation Options
   Vasseur L, 2018, SPRINGERBRIEF GEOGR, P1, DOI 10.1007/978-3-319-63492-0
   Vasseur L., 2008, IMPACT ADAPTATION, P119
   Vasseur L, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081293
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
NR 48
TC 4
Z9 4
U1 5
U2 10
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0008-3658
EI 1541-0064
J9 CAN GEOGR-GEOGR CAN
JI Can. Geogr.-Geogr. Can.
PD SEP
PY 2023
VL 67
IS 3
BP 366
EP 379
DI 10.1111/cag.12818
EA NOV 2022
PG 14
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA R6EL3
UT WOS:000892008800001
DA 2025-01-10
ER

PT J
AU Kim, Y
   Grimm, NB
   Chester, MV
   Redman, CL
AF Kim, Yeowon
   Grimm, Nancy B.
   Chester, Mikhail, V
   Redman, Charles L.
TI Capturing practitioner perspectives on infrastructure resilience using
   Q-methodology
SO ENVIRONMENTAL RESEARCH: INFRASTRUCTURE AND SUSTAINABILITY
LA English
DT Article
DE infrastructure; resilience; climate adaptation; Q-methodology; urban
   flooding; infrastructure planning; decision-making support
ID URBAN RESILIENCE; SYSTEMS; PRINCIPLES; RISK
AB In many disciplines, the resilience concept has applied to managing perturbations, challenges, or shocks in the system and designing an adaptive system. In particular, resilient infrastructure systems have been recognized as an alternative to traditional infrastructure, in which the systems are managed to be more reliable against unforeseen and unknown threats in urban areas. Perhaps owing to the malleable and multidisciplinary nature in the concept of resilience, there is no clear-cut standard that measures and characterizes infrastructure resilience nor how to implement the concept in practice for developing urban infrastructure systems. As a result, unavoidable subjective interpretation of the concept by practitioners and decision-makers occurs in the real world. We demonstrate the subjective perspectives on infrastructure resilience by asking practitioners working in governmental institutions within the metropolitan Phoenix area based on their interpretations of resilience, using Q-methodology. We asked practitioners to prioritize 19 key strategies for infrastructure resilience found in literature in three different decision contexts and recognized six discourses by analyzing the shared or discrete views of the practitioners. We conclude that, from the diverse perspectives on infrastructure resilience observed in this study, practitioners' interpretation of resilience adds value to theoretical resilience concepts found in the literature by revealing why and how different resilience strategies are preferred and applied in practice.
C1 [Kim, Yeowon] New Sch, Urban Syst Lab, New York, NY 10011 USA.
   [Kim, Yeowon; Redman, Charles L.] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA.
   [Kim, Yeowon] Carleton Univ, Dept Civil & Environm Engn, Ottawa, ON, Canada.
   [Grimm, Nancy B.] Arizona State Univ, Sch Life Sci, Tempe, AZ USA.
   [Chester, Mikhail, V] Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ USA.
C3 The New School; Arizona State University; Arizona State
   University-Tempe; Carleton University; Arizona State University; Arizona
   State University-Tempe; Arizona State University; Arizona State
   University-Tempe
RP Kim, Y (corresponding author), New Sch, Urban Syst Lab, New York, NY 10011 USA.; Kim, Y (corresponding author), Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA.; Kim, Y (corresponding author), Carleton Univ, Dept Civil & Environm Engn, Ottawa, ON, Canada.
EM yeowon.kim@carleton.ca
RI Grimm, Nancy/D-2840-2009
OI Grimm, Nancy/0000-0001-9374-660X; Chester, Mikhail/0000-0002-9354-2102
FU National Science Foundation;  [AccelNet- 1927468]
FX This work was supported by the National Science Foundation
   [GCR-1934933]; National Science Foundation [SRN-1444755]; National
   Science Foundation [AccelNet- 1927468 & amp; 1927167). Any opinions,
   findings, and conclusions or recommendations expressed in this material
   are those of the author(s) and do not necessarily reflect the views of
   the National Science Foundation.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Akhtar-Danesh N., 2017, OPEN J APPL SCI, V07, P147, DOI [10.4236/ojapps.2017.74013,07, DOI 10.4236/OJAPPS.2017.74013,07]
   Aldunce P, 2015, GLOBAL ENVIRON CHANG, V30, P1, DOI 10.1016/j.gloenvcha.2014.10.010
   [Anonymous], 2012, Disaster resilience a national imperative
   [Anonymous], 2010, A Framework for Establishing Critical Infrastructure Resilience Goals
   Baddour D., 2016, HOUSTON CHRONICLE
   Barry J, 1999, ECOL ECON, V28, P337, DOI 10.1016/S0921-8009(98)00053-6
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Brown S. R., 1980, Political subjectivity: Applications of Q methodology in political science
   Brown S.R., 1993, Operant subjectivity, V16, P91, DOI DOI 10.22488/OKSTATE.93.100504
   Chang SE, 2014, RISK ANAL, V34, P416, DOI 10.1111/risa.12133
   Chester M, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00016-y
   Chester MV, 2019, SUSTAIN RESIL INFRAS, V4, P173, DOI 10.1080/23789689.2017.1416846
   Coffee J., 2020, Optimizing Community Infrastructure: Resilience in the Face of Shocks and Stresses, P101, DOI [10.1016/B978-0-12-816240-8.00006-9, DOI 10.1016/B978-0-12-816240-8.00006-9]
   Cousins JJ, 2017, POLIT GEOGR, V60, P34, DOI 10.1016/j.polgeo.2017.04.002
   Cuppen E, 2016, INT J PROJ MANAG, V34, P1347, DOI 10.1016/j.ijproman.2016.01.003
   Cutter SL, 2016, GEOGR J, V182, P110, DOI 10.1111/geoj.12174
   DeVerteuil G., 2016, CITY, V20, P143, DOI [10.1080/13604813.2015.1125714, DOI 10.1080/13604813.2015.1125714]
   Ellingsen IT, 2010, INT J SOC RES METHOD, V13, P395, DOI 10.1080/13645570903368286
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Hagan K, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00188
   Hagemann F.A., 2020, Socio-Ecological Practice Research, V2, P283, DOI DOI 10.1007/S42532-020-00054-3
   Hayward BM, 2013, ECOL SOC, V18, DOI 10.5751/ES-05947-180437
   Hobbie SE, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0124
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huck A, 2019, ENVIRON SCI POLICY, V100, P211, DOI 10.1016/j.envsci.2019.05.008
   Keating A, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101355
   Kim Y, 2019, EARTHS FUTURE, V7, P704, DOI 10.1029/2019EF001208
   Kim Y, 2017, CLIMATIC CHANGE, V145, P397, DOI 10.1007/s10584-017-2090-1
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Linkov I, 2013, ENVIRON SCI TECHNOL, V47, P10108, DOI 10.1021/es403443n
   Markolf SA, 2018, EARTHS FUTURE, V6, P1638, DOI 10.1029/2018EF000926
   McPhearson T, 2016, ECOL INDIC, V70, P566, DOI 10.1016/j.ecolind.2016.03.054
   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
   Meerow S, 2015, J IND ECOL, V19, P236, DOI 10.1111/jiec.12252
   Möller N, 2008, RELIAB ENG SYST SAFE, V93, P798, DOI 10.1016/j.ress.2007.03.031
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Rosenzweig B, 2019, ENVIRON SCI POLICY, V99, P150, DOI 10.1016/j.envsci.2019.05.020
   Schmolck P., 2014, PQMethod manual
   Slota S C., 2007, HDB SCI TECHNOLOGY S
   Sneegas G, 2020, PROF GEOGR, V72, P78, DOI 10.1080/00330124.2019.1598271
   Spearman C, 1904, AM J PSYCHOL, V15, P72, DOI 10.2307/1412159
   Stephenson W, 1935, CHARACT PERSON, V4, P17
   Suarez P, 2005, TRANSPORT RES D-TR E, V10, P231, DOI 10.1016/j.trd.2005.04.007
   Trautwine J C., 1909, CIVIL ENG POCKET BOO
   Underwood BS, 2020, J INFRASTRUCT SYST, V26, DOI 10.1061/(ASCE)IS.1943-555X.0000567
   Watts S., 2012, Qual Res Psychol, V2, P67, DOI [DOI 10.1080/14780887.2011.595017, 10.1191/1478088705qp022oa, DOI 10.1191/1478088705QP022OA]
   Woods D.D., 2012, RESILIENCE ENG CONCE
NR 51
TC 3
Z9 4
U1 1
U2 5
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
EI 2634-4505
J9 ENVIRON RES-INFRASTR
JI Environ. Res.-Infrastruct. Sustain.
PD SEP 1
PY 2021
VL 1
IS 2
AR 025002
DI 10.1088/2634-4505/ac0f98
PG 17
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA Q7HO7
UT WOS:001059199200001
OA gold
DA 2025-01-10
ER

PT J
AU Yonce, HN
   Sarkar, S
   Butcher, JB
   Johnson, TE
   Julius, SH
   LeDuc, SD
AF Yonce, Hillary N.
   Sarkar, Saumya
   Butcher, Jonathan B.
   Johnson, Thomas E.
   Julius, Susan H.
   LeDuc, Stephen D.
TI Forest riparian buffers reduce timber harvesting effects on stream
   temperature, but additional climate adaptation strategies are likely
   needed under future conditions
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE climate sensitivity; forestry; QUAL2K; riparian buffer; SWAT; water
   temperature
ID OREGON; MODEL; SCENARIOS; RIVERS; BASIN; US
AB Stream water temperature imposes metabolic constraints on the health of cold-water fish like salmonids. Timber harvesting can reduce stream shading leading to higher water temperatures, while also altering stream hydrology. In the Pacific Northwest, riparian buffer requirements are designed to mitigate these impacts; however, anticipated future changes in air temperature and precipitation could reduce the efficacy of these practices in protecting aquatic ecosystems. Using a combined modeling approach (Soil and Water Assessment Tool (SWAT), Shade, and QUAL2K), this study examines the effectiveness of riparian buffers in reducing impacts of timber harvest on stream water temperature in Lookout Creek, Oregon across a range of potential future climates. Simulations assess changes in riparian management alone, climate alone, and combined effects. Results suggest that maximum stream water temperatures during thermal stress events are projected to increase by 3.3-7.4 degrees C due to hydroclimatic change alone by the end of this century. Riparian management is effective in reducing stream temperature increases from timber harvesting alone but cannot fully counteract the additional effects of a warming climate. Overall, our findings suggest that the protection of sensitive aquatic species will likely require additional adaptation strategies, such as the protection or provisioning of cool water refugia, to enhance survival during maximum thermal stress events.
C1 [Yonce, Hillary N.; Butcher, Jonathan B.] Tetra Tech Inc, POB 14409,1 Pk Dr,Suite 200, Res Triangle Pk, NC 27709 USA.
   [Sarkar, Saumya] Tetra Tech Inc, 12655 N Cent Expressway,Suite 305, Dallas, TX 75243 USA.
   [Johnson, Thomas E.; Julius, Susan H.] US EPA, Off Res & Dev, 1200 Penn Ave NW, Washington, DC 20460 USA.
   [LeDuc, Stephen D.] US EPA, Off Res & Dev, 109 TW Alexander Dr, Res Triangle Pk, NC 27709 USA.
C3 United States Environmental Protection Agency; United States
   Environmental Protection Agency
RP Yonce, HN (corresponding author), Tetra Tech Inc, POB 14409,1 Pk Dr,Suite 200, Res Triangle Pk, NC 27709 USA.
EM hillary.yonce@tetratech.com
OI Johnson, Thomas E./0000-0003-4073-938X
CR Abatzoglou JT, 2012, INT J CLIMATOL, V32, P772, DOI 10.1002/joc.2312
   Anderson JK, 2005, HYDROL PROCESS, V19, P2931, DOI 10.1002/hyp.5791
   Beechie T, 2013, RIVER RES APPL, V29, P939, DOI 10.1002/rra.2590
   BROWN GW, 1970, WATER RESOUR RES, V6, P1133, DOI 10.1029/WR006i004p01133
   Butcher J. B., QUANTITATIVE ASSESSM
   Chapra S., QUAL2K MODELING FRAM
   Cristea NC, 2010, CLIMATIC CHANGE, V102, P493, DOI 10.1007/s10584-009-9700-5
   Dugdale SJ, 2018, SCI TOTAL ENVIRON, V610, P1375, DOI 10.1016/j.scitotenv.2017.08.198
   EASTERLING WE, 1992, AGR FOREST METEOROL, V59, P17, DOI 10.1016/0168-1923(92)90084-H
   Groom JD, 2011, FOREST ECOL MANAG, V262, P1618, DOI 10.1016/j.foreco.2011.07.012
   Hamlet AF, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005099
   Hamlet AF, 2013, ATMOS OCEAN, V51, P392, DOI 10.1080/07055900.2013.819555
   Isaak DJ, 2018, T AM FISH SOC, V147, P566, DOI 10.1002/tafs.10059
   Isaak DJ, 2017, WATER RESOUR RES, V53, P9181, DOI 10.1002/2017WR020969
   Isaak DJ, 2016, P NATL ACAD SCI USA, V113, P4374, DOI 10.1073/pnas.1522429113
   Kallarackal J, 2012, BIODIVERS CONSERV, V21, P1327, DOI 10.1007/s10531-012-0254-x
   Luce C, 2014, WATER RESOUR RES, V50, P3428, DOI 10.1002/2013WR014329
   Mantua N, 2010, CLIMATIC CHANGE, V102, P187, DOI 10.1007/s10584-010-9845-2
   Moore RD, 2005, J AM WATER RESOUR AS, V41, P813, DOI 10.1111/j.1752-1688.2005.tb04465.x
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Mote P., 2014, CH 21 NW CLIMATE CHA, P487, DOI DOI 10.7930/J04Q7RWX
   Mote PW, 2010, CLIMATIC CHANGE, V102, P29, DOI 10.1007/s10584-010-9848-z
   Tague C, 2008, CLIMATIC CHANGE, V86, P189, DOI 10.1007/s10584-007-9294-8
   Wu H, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012082
NR 24
TC 3
Z9 3
U1 4
U2 11
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 AUG
PY 2021
VL 12
IS 5
BP 1404
EP 1419
DI 10.2166/wcc.2020.031
PG 16
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA UJ1ZK
UT WOS:000691092100005
PM 36644765
OA hybrid, Green Accepted
DA 2025-01-10
ER

PT J
AU de la Poterie, AT
   Clatworthy, Y
   Easton-Calabria, E
   de Perez, EC
   Lux, S
   van Aalst, M
AF Tozier de la Poterie, Arielle
   Clatworthy, Yolanda
   Easton-Calabria, Evan
   Coughlan de Perez, Erin
   Lux, Stefanie
   van Aalst, Maarten
TI Managing multiple hazards: lessons from anticipatory humanitarian action
   for climate disasters during COVID-19
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Multi-hazard; forecast-based financing; early action; anticipatory
   humanitarian action; climate risk management; disaster risk reduction;
   disaster risk financing; COVID-19; climate services; localization
ID RISK-ASSESSMENT; VULNERABILITY
AB In the face of climate change, development and humanitarian practitioners increasingly recognize the need to anticipate and manage multiple, concurrent risks. One prominent example of this increasing focus on anticipation is the rapid growth of Forecast-based Financing (FbF), in particular within Red Cross and Red Crescent (RCRC). To evaluate how anticipatory efforts managed multiple compounding risks during the COVID-19 pandemic, we examine how 14 RCRC Societies adapted their Early Action Protocols to COVID-19. Though many National Societies successfully adapted to the onset of the additional hazard of COVID-19, we find that multi-hazard risk management can be improved by: proactively developing guidelines that enable rapid adaptation of existing plans; more flexible funding mechanisms; surge capacity to provide additional human resources; and increasing local capacity and ownership for implementation to ensure supplies, skills, and decision-making authority are available when communication or travel is restricted. These findings align with wider recommendations for improving development, humanitarian, and climate adaptation practice towards local capacity and agency. They also add urgency to broader calls for more flexible disaster financing and more practitioner-oriented investment in climate risk and multi-hazard management.
C1 [Tozier de la Poterie, Arielle] German Red Cross, Anticipat Hub, Berlin, Germany.
   [Clatworthy, Yolanda] Anticipat Hub, Berlin, Germany.
   [Easton-Calabria, Evan] Univ Oxford, Dept Int Dev, Refugee Studies Ctr, Oxford, England.
   [Coughlan de Perez, Erin; van Aalst, Maarten] Red Cross Red Crescent Climate Ctr, The Hague, Netherlands.
   [Coughlan de Perez, Erin; van Aalst, Maarten] Columbia Univ, Int Res Inst Climate & Soc, New York, NY USA.
   [Lux, Stefanie] German Red Cross, Berlin, Germany.
   [van Aalst, Maarten] Univ Twente, Fac Geoinformat Sci & Earth Observat, Enschede, Netherlands.
C3 University of Oxford; Columbia University; University of Twente
RP de la Poterie, AT (corresponding author), DRK Generalsekretariat Team Knowledge & Innovat z, Arielle Tozier Poterie Carstennstr 58, D-12205 Berlin, Germany.
EM arielle.tozierdelapoterie@germanredcross.de
RI Tozier de la Poterie, Arielle/D-3773-2015; Easton-Calabria,
   Evan/KIC-4510-2024; van Aalst, Maarten/X-2017-2018
OI Easton-Calabria, Evan/0000-0001-9417-181X; Coughlan de Perez,
   Erin/0000-0001-7645-5720; van Aalst, Maarten/0000-0003-0319-5627
FU German Federal Foreign Office
FX We gratefully acknowledge the support of German Federal Foreign Office
   who provided the funding backing to make this research possible.
CR [Anonymous], 2016, Time to let go: Remaking humanitarian action in the modern era
   Bahadur A. V., 2016, RESILIENCE SCAN JULY
   Bargain G., 2016, A shared commitment to better serve people in need
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Belesova K, 2020, BMJ-BRIT MED J, V370, DOI 10.1136/bmj.m3169
   Carpignano A, 2009, J RISK RES, V12, P513, DOI 10.1080/13669870903050269
   Caswell Hal, 2001, pi
   CHS Alliance, 2018, FUT HUM SURG LEARN T
   Costella C, 2017, IDS BULL-I DEV STUD, V48, P31, DOI 10.19088/1968-2017.151
   De Renzio P., 2016, ODI Working Paper
   Feeny E., 2017, OXFAM DISCUSSION PAP
   Frennesson L, 2021, J HUMANIT LOGIST SUP, V11, P81, DOI 10.1108/JHLSCM-06-2020-0048
   Girgin S, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.101072
   Harris V, 2019, RES ETH ISS ORG, V22, P33, DOI 10.1108/S1529-209620190000022004
   ICVA, 2016, LOC HUM PRACT
   IFRC/RCRC Climate Centre, 2020, CLIM REL EXTR WEATH
   International Committee of the Red Cross (ICRC), 2019, ICRCS GUID DOC ACC A
   Ishiwatari M, 2020, PROG DISASTER SCI, V6, DOI 10.1016/j.pdisas.2020.100096
   Kellett J., 2013, GLOBAL FACILITY DISA
   Levine S., 2020, HUMANITARIAN POLICY
   Lung F., 2020, UKAID OPM
   Lux S., 2020, IFRC GERMAN RED CROS
   Maxwell D., 2014, ANOTHER HUMANITARIAN
   Ming XD, 2015, STOCH ENV RES RISK A, V29, P35, DOI 10.1007/s00477-014-0935-y
   National Audit Office (NAO), 2016, RESP CRIS
   Overseas Development Institute (ODI), 2018, FOR HAZ AV DIS IMPL
   Oxford Policy Management (OPM), 2016, SHOCK RESP SOC PROT
   Parker B., 2016, WHAT DOES LOCALISATI
   Pei S, 2020, GEOHEALTH, V4, DOI 10.1029/2020GH000319
   Phillips CA, 2020, NAT CLIM CHANGE, V10, P586, DOI 10.1038/s41558-020-0804-2
   Pourghasemi HR, 2020, GEOSCI FRONT, V11, P1203, DOI 10.1016/j.gsf.2019.10.008
   POURGHASEMI HR, 2020, SCI REP UK, V10
   Raymond C, 2020, NAT CLIM CHANGE, V10, P611, DOI 10.1038/s41558-020-0790-4
   Roepstorff K, 2020, THIRD WORLD Q, V41, P284, DOI 10.1080/01436597.2019.1644160
   Rohwerder B., 2017, FLEXIBILITY FUNDING
   Ruth A., 2017, FORECAST BASED FINAN
   Sahoo B, 2018, J ENVIRON MANAGE, V206, P1166, DOI 10.1016/j.jenvman.2017.10.075
   Shultz JM, 2020, DISASTER MED PUBLIC, V14, P494, DOI 10.1017/dmp.2020.243
   Tozier de la Poterie A., 2017, THESIS
   UN, 2020, UN COORD APP
   United Nations Office for Disaster Risk Reduction (UNISDR), 2020, FACT SHEET HLTH CONT
   van den Homberg MJC, 2020, POLITICS GOV, V8, P456, DOI 10.17645/pag.v8i4.3158
   Who, 2020, PREP CYCL TROP STORM
   WHS (World Humanitarian Summit), 2016, IN GRAND BARG
   Wilkinson E., 2018, Forecasting, hazards, averting disasters: Implementing forecast-based early action at scale
   Winters MS, 2010, INT STUD REV, V12, P218, DOI 10.1111/j.1468-2486.2010.00929.x
   World Health Organization, 2020, Coronavirus disease (COVID-19): Masks
   Zscheischler J, 2020, NAT REV EARTH ENV, V1, P333, DOI 10.1038/s43017-020-0060-z
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 49
TC 13
Z9 14
U1 3
U2 17
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD APR 21
PY 2022
VL 14
IS 4
BP 374
EP 388
DI 10.1080/17565529.2021.1927659
EA MAY 2021
PG 15
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 2A7BO
UT WOS:000650985900001
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Condie, SA
   Anthony, KRN
   Babcock, RC
   Baird, ME
   Beeden, R
   Fletcher, CS
   Gorton, R
   Harrison, D
   Hobday, AJ
   Plagányi, ÉE
   Westcott, DA
AF Condie, Scott A.
   Anthony, Kenneth R. N.
   Babcock, Russ C.
   Baird, Mark E.
   Beeden, Roger
   Fletcher, Cameron S.
   Gorton, Rebecca
   Harrison, Daniel
   Hobday, Alistair J.
   Plaganyi, Eva E.
   Westcott, David A.
TI Large-scale interventions may delay decline of the Great Barrier Reef
SO ROYAL SOCIETY OPEN SCIENCE
LA English
DT Article
DE coral reef; Great Barrier Reef; climate adaptation; climate impacts;
   coral bleaching; meta-community model
AB On the iconic Great Barrier Reef (GBR), the cumulative impacts of tropical cyclones, marine heatwaves and regular outbreaks of coral-eating crown-of-thorns starfish (CoTS) have severely depleted coral cover. Climate change will further exacerbate this situation over the coming decades unless effective interventions are implemented. Evaluating the efficacy of alternative interventions in a complex system experiencing major cumulative impacts can only be achieved through a systems modelling approach. We have evaluated combinations of interventions using a coral reef meta-community model. The model consisted of a dynamic network of 3753 reefs supporting communities of corals and CoTS connected through ocean larval dispersal, and exposed to changing regimes of tropical cyclones, flood plumes, marine heatwaves and ocean acidification. Interventions included reducing flood plume impacts, expanding control of CoTS populations, stabilizing coral rubble, managing solar radiation and introducing heat-tolerant coral strains. Without intervention, all climate scenarios resulted in precipitous declines in GBR coral cover over the next 50 years. The most effective strategies in delaying decline were combinations that protected coral from both predation (CoTS control) and thermal stress (solar radiation management) deployed at large scale. Successful implementation could expand opportunities for climate action, natural adaptation and socioeconomic adjustment by at least one to two decades.
C1 [Condie, Scott A.; Baird, Mark E.; Gorton, Rebecca; Hobday, Alistair J.] CSIRO Oceans & Atmosphere, Hobart, Tas, Australia.
   [Condie, Scott A.; Hobday, Alistair J.; Plaganyi, Eva E.] Univ Tasmania, Ctr Marine Socioecol, Hobart, Tas, Australia.
   [Anthony, Kenneth R. N.] Australian Inst Marine Sci, Townsville, Qld, Australia.
   [Anthony, Kenneth R. N.] Univ Queensland, Sch Biol Sci, Brisbane, Qld, Australia.
   [Babcock, Russ C.; Plaganyi, Eva E.] CSIRO Oceans & Atmosphere, Brisbane, Qld, Australia.
   [Beeden, Roger] Great Barrier Reef Marine Pk Author, Townsville, Qld, Australia.
   [Fletcher, Cameron S.; Westcott, David A.] CSIRO Land & Water, Atherton, Qld, Australia.
   [Harrison, Daniel] Southern Cross Univ, Natl Marine Sci Ctr, Coffs Harbour, NSW, Australia.
   [Harrison, Daniel] Univ Sydney, Marine Studies Ctr, Sch Geosci, Camperdown, NSW, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   CSIRO Oceans & Atmosphere; University of Tasmania; Australian Institute
   of Marine Science; University of Queensland; Commonwealth Scientific &
   Industrial Research Organisation (CSIRO); Commonwealth Scientific &
   Industrial Research Organisation (CSIRO); Southern Cross University;
   University of Sydney
RP Condie, SA (corresponding author), CSIRO Oceans & Atmosphere, Hobart, Tas, Australia.; Condie, SA (corresponding author), Univ Tasmania, Ctr Marine Socioecol, Hobart, Tas, Australia.
EM scott.condie@csiro.au
RI Baird, Mark/GLU-2397-2022; Condie, Scott/C-2953-2012; Anthony,
   Kenneth/G-4299-2011; Fletcher, Cameron/B-8354-2008; Harrison,
   Daniel/AAT-5250-2020; Hobday, Alistair/A-1460-2012; Plaganyi,
   Eva/C-5130-2011; Baird, Mark/D-7172-2015; Babcock, Russell/A-3794-2012
OI Plaganyi, Eva/0000-0002-4740-4200; Gorton, Rebecca/0000-0002-5290-3506;
   Baird, Mark/0000-0003-4955-2298; Babcock, Russell/0000-0002-7756-1290
CR Albright R, 2016, NATURE, V531, P362, DOI 10.1038/nature17155
   Alvarez-Noriega M, 2016, ECOLOGY, V97, P3485, DOI 10.1002/ecy.1588
   Anderson KD, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-03085-1
   Anthony KRN, 2016, ANNU REV ENV RESOUR, V41, P59, DOI 10.1146/annurev-environ-110615-085610
   Anthony KRN, 2015, GLOBAL CHANGE BIOL, V21, P48, DOI 10.1111/gcb.12700
   Anthony KRN, 2011, GLOBAL CHANGE BIOL, V17, P1798, DOI 10.1111/j.1365-2486.2010.02364.x
   Babcock RC, 2020, CORAL REEFS, V39, P1233, DOI 10.1007/s00338-020-01978-8
   Babcock RC, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0169048
   Babcock RC, 2016, MAR BIOL, V163, DOI 10.1007/s00227-016-3009-5
   Beeden R, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121272
   Biggs BC, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0064945
   Brodie JE, 2012, MAR POLLUT BULL, V65, P81, DOI 10.1016/j.marpolbul.2011.12.012
   Cheal AJ, 2017, GLOBAL CHANGE BIOL, V23, P1511, DOI 10.1111/gcb.13593
   Cinner JE, 2016, REG ENVIRON CHANGE, V16, P1133, DOI 10.1007/s10113-015-0832-z
   Clark JR, 2011, ECOL MODEL, V222, P3823, DOI 10.1016/j.ecolmodel.2011.10.001
   COHEN J, 1992, PSYCHOL BULL, V112, P155, DOI 10.1037/0033-2909.112.1.155
   Comeau S, 2014, LIMNOL OCEANOGR, V59, P1081, DOI 10.4319/lo.2014.59.3.1081
   Condie S., 2012, Theme 14: Larval ecology, recruitment and connectivity
   Condie SA, 2018, ECOL INDIC, V91, P531, DOI 10.1016/j.ecolind.2018.04.036
   Condie S, 2016, GLOBAL ECOL BIOGEOGR, V25, P1264, DOI 10.1111/geb.12485
   Condie SA, 2006, PROG OCEANOGR, V70, P255, DOI 10.1016/j.pocean.2005.07.003
   Condie SA, 2018, CONSERV BIOL, V32, P1356, DOI 10.1111/cobi.13161
   Darling ES, 2019, NAT ECOL EVOL, V3, P1341, DOI 10.1038/s41559-019-0953-8
   De'ath G, 2013, MAR GEOL, V346, P400, DOI 10.1016/j.margeo.2013.09.008
   De'ath G, 2009, SCIENCE, V323, P116, DOI 10.1126/science.1165283
   Deaker DJ, 2020, BIOL LETTERS, V16, DOI 10.1098/rsbl.2019.0849
   DeVantier L, 2017, DIVERSITY-BASEL, V9, DOI 10.3390/d9030025
   Devlin MJ, 2015, REMOTE SENS-BASEL, V7, P12909, DOI 10.3390/rs71012909
   DIGHT IJ, 1990, CORAL REEFS, V9, P115, DOI 10.1007/BF00258222
   Dixon GB, 2015, SCIENCE, V348, P1460, DOI 10.1126/science.1261224
   Dorogovtsev SN, 2000, PHYS REV LETT, V85, P4633, DOI 10.1103/PhysRevLett.85.4633
   Dove SG, 2013, P NATL ACAD SCI USA, V110, P15342, DOI 10.1073/pnas.1302701110
   Edwards AJ, 2015, MAR ECOL PROG SER, V525, P105, DOI 10.3354/meps11171
   Eker S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07811-9
   Fabricius KE, 2010, CORAL REEFS, V29, P593, DOI 10.1007/s00338-010-0628-z
   Fabricius KE, 2008, LIMNOL OCEANOGR, V53, P690, DOI 10.4319/lo.2008.53.2.0690
   Fabricius KE, 2011, NAT CLIM CHANGE, V1, P165, DOI 10.1038/NCLIMATE1122
   Fabricius KE, 2006, LIMNOL OCEANOGR, V51, P30, DOI 10.4319/lo.2006.51.1.0030
   Fordyce AJ, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00498
   Frieler K, 2013, NAT CLIM CHANGE, V3, P165, DOI 10.1038/NCLIMATE1674
   Guillemot N, 2010, CORAL REEFS, V29, P445, DOI 10.1007/s00338-010-0587-4
   Harrison D.P., 2019, Environmental Modelling of Large Scale Solar Radiation Management: A Report Provided to the Australian Government by the Reef Restoration and Adaptation Program
   Hock K, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11367-7
   Hock K, 2017, PLOS BIOL, V15, DOI 10.1371/journal.pbio.2003355
   Hock K, 2016, CONSERV BIOL, V30, P856, DOI 10.1111/cobi.12665
   Hock K, 2014, J APPL ECOL, V51, P1188, DOI 10.1111/1365-2664.12320
   Howells EJ, 2012, NAT CLIM CHANGE, V2, P116, DOI 10.1038/NCLIMATE1330
   Hughes TP, 2018, NATURE, V556, P492, DOI 10.1038/s41586-018-0041-2
   Hughes TP, 2018, SCIENCE, V359, P80, DOI 10.1126/science.aan8048
   Hughes TP, 2017, NATURE, V546, P82, DOI 10.1038/nature22901
   Hughes TP, 2017, NATURE, V543, P373, DOI 10.1038/nature21707
   Hughes TP, 2003, SCIENCE, V301, P929, DOI 10.1126/science.1085046
   Kamya PZ, 2018, CORAL REEFS, V37, P751, DOI 10.1007/s00338-018-1699-5
   Kamya PZ, 2014, GLOBAL CHANGE BIOL, V20, P3365, DOI 10.1111/gcb.12530
   KEESING JK, 1992, J EXP MAR BIOL ECOL, V156, P89, DOI 10.1016/0022-0981(92)90018-6
   Keesing JK, 2018, MAR ECOL PROG SER, V597, P179, DOI 10.3354/meps12606
   KENCHINGTON RA, 1977, BIOL CONSERV, V11, P103, DOI 10.1016/0006-3207(77)90032-5
   Kennedy EV, 2013, CURR BIOL, V23, P912, DOI 10.1016/j.cub.2013.04.020
   Kininmonth SJ, 2010, THEOR ECOL-NETH, V3, P75, DOI 10.1007/s12080-009-0055-3
   Knutson T, 2020, B AM METEOROL SOC, V101, pE303, DOI 10.1175/BAMS-D-18-0194.1
   Knutson TR, 2004, J CLIMATE, V17, P3477, DOI 10.1175/1520-0442(2004)017<3477:IOCWOS>2.0.CO;2
   Kossin JP, 2013, J CLIMATE, V26, P9960, DOI 10.1175/JCLI-D-13-00262.1
   Kroon FJ, 2016, GLOBAL CHANGE BIOL, V22, P1985, DOI 10.1111/gcb.13262
   Kwiatkowski L, 2015, NAT CLIM CHANGE, V5, P777, DOI [10.1038/nclimate2655, 10.1038/NCLIMATE2655]
   Lamare M, 2014, CORAL REEFS, V33, P207, DOI 10.1007/s00338-013-1112-3
   Langlais CE, 2017, NAT CLIM CHANGE, V7, P839, DOI [10.1038/nclimate3399, 10.1038/NCLIMATE3399]
   Leibold MA, 2004, ECOL LETT, V7, P601, DOI 10.1111/j.1461-0248.2004.00608.x
   Leslie LM, 2007, METEOROL ATMOS PHYS, V97, P171, DOI 10.1007/s00703-006-0250-3
   Logan CA, 2014, GLOBAL CHANGE BIOL, V20, P125, DOI 10.1111/gcb.12390
   Lough JM, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24530-9
   LUCAS JS, 1984, J EXP MAR BIOL ECOL, V79, P129, DOI 10.1016/0022-0981(84)90214-4
   MacNeil MA, 2019, NAT ECOL EVOL, V3, P620, DOI 10.1038/s41559-019-0832-3
   MacNeil MA, 2016, PEERJ, V4, DOI 10.7717/peerj.2310
   Manzello DP, 2010, CORAL REEFS, V29, P749, DOI 10.1007/s00338-010-0623-4
   Margvelashvili N, 2018, MAR POLLUT BULL, V135, P954, DOI 10.1016/j.marpolbul.2018.08.018
   Marshall PA, 2000, CORAL REEFS, V19, P155, DOI 10.1007/s003380000086
   Matz MV, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007220
   Maynard JA, 2008, MAR BIOL, V155, P173, DOI 10.1007/s00227-008-1015-y
   McDonald J, 2019, CLIM POLICY, V19, P801, DOI 10.1080/14693062.2019.1592742
   Mellin C, 2019, GLOBAL CHANGE BIOL, V25, P2431, DOI 10.1111/gcb.14625
   Miller I., 2015, J MAR BIOL, V2015, P809624, DOI [DOI 10.1155/2015/809624, 10.1155/2015/809624]
   Mongin M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/034023
   Mongin M, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10732
   MORAN PJ, 1992, MAR BIOL, V113, P509, DOI 10.1007/BF00349178
   Morello EB, 2014, MAR ECOL PROG SER, V512, P167, DOI 10.3354/meps10858
   O'Mahony J., 2017, DELOITTE ACCESS EC
   ORESKES N, 1994, SCIENCE, V263, P641, DOI 10.1126/science.263.5147.641
   Ortiz JC, 2014, NAT CLIM CHANGE, V4, P1090, DOI 10.1038/NCLIMATE2439
   Pendleton L, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0164699
   PIELOU EC, 1966, AM NAT, V100, P463, DOI 10.1086/282439
   Pineda J, 2010, J EXP MAR BIOL ECOL, V392, P9, DOI 10.1016/j.jembe.2010.04.008
   Plagányi ÉE, 2020, CORAL REEFS, V39, P1483, DOI 10.1007/s00338-020-01981-z
   Plagányi EE, 2014, MAR ECOL PROG SER, V512, P99, DOI 10.3354/meps10909
   Pratchett MS, 2010, CORAL REEFS, V29, P717, DOI 10.1007/s00338-010-0602-9
   Pratchett MS, 2017, DIVERSITY-BASEL, V9, DOI 10.3390/d9040041
   Pratchett MS, 2017, DIVERSITY-BASEL, V9, DOI 10.3390/d9010002
   Pratchett MS, 2014, OCEANOGR MAR BIOL, V52, P133
   Puotinen ML, 2007, INT J GEOGR INF SCI, V21, P97, DOI 10.1080/1365SS10600852230
   Puotinen M, 2016, SCI REP-UK, V6, DOI 10.1038/srep26009
   REICHELT RE, 1990, MATH COMPUT MODEL, V13, P45, DOI 10.1016/0895-7177(90)90008-B
   Rivera-Posada J, 2013, MAR POLLUT BULL, V75, P133, DOI 10.1016/j.marpolbul.2013.07.053
   Rogers JGD, 2017, MAR ECOL PROG SER, V578, P99, DOI 10.3354/meps12252
   Saltelli A, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11865-8
   Sampayo EM, 2008, P NATL ACAD SCI USA, V105, P10444, DOI 10.1073/pnas.0708049105
   SEYMOUR RM, 1994, J THEOR BIOL, V166, P453, DOI 10.1006/jtbi.1994.1040
   Steven ADL, 2019, J OPER OCEANOGR, V12, pS12, DOI 10.1080/1755876X.2019.1650589
   Sully S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09238-2
   Sweatman H, 2011, CORAL REEFS, V30, P521, DOI 10.1007/s00338-010-0715-1
   Tan CH, 2016, MAR ECOL PROG SER, V561, P147, DOI 10.3354/meps11936
   Tanzil JTI, 2009, CORAL REEFS, V28, P519, DOI 10.1007/s00338-008-0457-5
   Uthicke S, 2015, SCI REP-UK, V5, DOI 10.1038/srep16885
   van Hooidonk R, 2016, SCI REP-UK, V6, DOI 10.1038/srep39666
   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
   Walsh KJE, 2004, CLIM DYNAM, V22, P47, DOI 10.1007/s00382-003-0362-0
   Weijerman M, 2015, PROG OCEANOGR, V138, P559, DOI 10.1016/j.pocean.2014.12.017
   Wenger AS, 2016, CONSERV BIOL, V30, P142, DOI 10.1111/cobi.12576
   Westcott DA., 2021, Report to the National Environmental Science Program
   Westcott DA, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-69466-1
   White JW, 2014, OIKOS, V123, P385, DOI 10.1111/j.1600-0706.2013.01073.x
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wolfe K, 2017, MAR POLLUT BULL, V116, P307, DOI 10.1016/j.marpolbul.2016.12.079
   Wolfe K, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122010
   Wolff NH, 2018, MAR POLLUT BULL, V133, P30, DOI 10.1016/j.marpolbul.2018.04.069
   Wolff NH, 2018, GLOBAL CHANGE BIOL, V24, P1978, DOI 10.1111/gcb.14043
   Wolff NH, 2016, CORAL REEFS, V35, P613, DOI 10.1007/s00338-016-1400-9
   Wooldridge S, 2006, MAR POLLUT BULL, V52, P1467, DOI 10.1016/j.marpolbul.2006.05.009
NR 127
TC 42
Z9 42
U1 3
U2 68
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 APR 28
PY 2021
VL 8
IS 4
AR 201296
DI 10.1098/rsos.201296
PG 27
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA RV1JJ
UT WOS:000645595600001
PM 34007456
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Uthe, P
   Al-Chokhachy, R
   Shepard, BB
   Zale, AV
   Kershner, JL
AF Uthe, P.
   Al-Chokhachy, R.
   Shepard, B. B.
   Zale, A. V.
   Kershner, J. L.
TI Effects of Climate-Related Stream Factors on Patterns of Individual
   Summer Growth of Cutthroat Trout
SO TRANSACTIONS OF THE AMERICAN FISHERIES SOCIETY
LA English
DT Article
ID SALMON SALMO-SALAR; SELF-THINNING RULE; BROWN TROUT; WATER TEMPERATURE;
   RAINBOW-TROUT; POPULATION-DENSITY; SALVELINUS-FONTINALIS;
   ONCORHYNCHUS-MYKISS; FOOD ABUNDANCE; METABOLIC-RATE
AB Coldwater fishes are sensitive to abiotic and biotic stream factors, which can be influenced by climate. Distributions of inland salmonids in North America have declined significantly, with many of the current strongholds located in small headwater systems that may serve as important refugia as climate change progresses. We investigated the effects of discharge, stream temperature, trout biomass, and food availability on summer growth of Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri, a species of concern with significant ecological value. Individual size, stream discharge, sample section biomass, and temperature were all associated with growth, but had differing effects on energy allocation. Stream discharge had a positive relationship with growth rates in length and mass; greater rates of prey delivery at higher discharges probably enabled trout to accumulate reserve tissues in addition to structural growth. Temperature effects were positive but not significant, and support in growth models was limited, likely due to the cold thermal regimes of the study area. The strength of the discharge effect on growth suggests that climate adaptation strategies for coldwater fishes that focus solely on thermal characteristics may be misleading and highlights the importance of considering multiple factors, including hydrologic regimes, in conservation planning.
C1 [Uthe, P.] Montana State Univ, Montana Cooperat Fishery Res Unit, Dept Ecol, Bozeman, MT 59717 USA.
   [Al-Chokhachy, R.; Kershner, J. L.] US Geol Survey, Northern Rocky Mt Sci Ctr, 2327 Univ Way,Suite 2, Bozeman, MT 59715 USA.
   [Shepard, B. B.] Wildlife Conservat Soc, 301 North Willson Ave, Bozeman, MT 59715 USA.
   [Zale, A. V.] Montana State Univ, Montana Cooperat Fishery Res Unit, US Geol Survey, Bozeman, MT 59717 USA.
   [Uthe, P.] Montana Fish Wildlife & Pk, 3201 Spurgin Rd, Missoula, MT 59804 USA.
   [Shepard, B. B.] BB Shepard & Associates, Livingston, MT 59047 USA.
C3 Montana State University System; Montana State University Bozeman;
   United States Department of the Interior; United States Geological
   Survey; Wildlife Conservation Society; United States Department of the
   Interior; United States Geological Survey; Montana State University
   System; Montana State University Bozeman
RP Uthe, P (corresponding author), Montana State Univ, Montana Cooperat Fishery Res Unit, Dept Ecol, Bozeman, MT 59717 USA.; Uthe, P (corresponding author), Montana Fish Wildlife & Pk, 3201 Spurgin Rd, Missoula, MT 59804 USA.
EM patrick.uthe@mt.gov
RI Al-Chokhachy, Robert/F-2894-2010; Ebersole, Joseph/A-8371-2009
FU U.S. Geological Survey-Priority Ecosystems Science Program; Jackson Hole
   One Fly Foundation; University of Wyoming-National Park Service Research
   Station; Jackson Hole Trout Unlimited Chapter
FX We thank R. Gipson, T. Stephens, and B. Hines (Wyoming Game and Fish
   Department), J. Broderick and numerous volunteers from the Jackson Hole
   Trout Unlimited Chapter, C. Whaley and S. Consolo Murphy (U.S. National
   Park Service), the U.S. Forest Service, and U.S. Fish and Wildlife
   Service for field assistance and technical support. We thank Tom McMahon
   (Montana State University), Jack Williams, and three anonymous reviewers
   for many helpful suggestions and comments on this manuscript. Funding
   for this research was provided by the U.S. Geological Survey-Priority
   Ecosystems Science Program, Jackson Hole One Fly Foundation, University
   of Wyoming-National Park Service Research Station, and the Jackson Hole
   Trout Unlimited Chapter. Fish handling protocols were reviewed and
   approved by the Montana State University Institutional Animal Care and
   Use Committee (Protocol 2011-31). Any use of trade, product, or firm
   names is for descriptive purposes only and does not imply endorsement by
   the U.S. Government. There is no conflict of interest declared in this
   article.
CR Al-Chokhachy R, 2017, REV FISH BIOL FISHER, V27, P425, DOI 10.1007/s11160-017-9472-3
   Al-Chokhachy R, 2013, GLOBAL CHANGE BIOL, V19, DOI 10.1111/gcb.12262
   Alvarez D, 2006, EVOL ECOL, V20, P345, DOI 10.1007/s10682-006-0004-1
   Arismendi I, 2013, HYDROBIOLOGIA, V712, P61, DOI 10.1007/s10750-012-1327-2
   Bacon PJ, 2005, J ANIM ECOL, V74, P1, DOI 10.1111/j.1365-2656.2004.00875.x
   Bear EA, 2007, T AM FISH SOC, V136, P1113, DOI 10.1577/T06-072.1
   Biro PA, 2004, P ROY SOC B-BIOL SCI, V271, P2233, DOI 10.1098/rspb.2004.2861
   Bohlin T, 2002, J ANIM ECOL, V71, P683, DOI 10.1046/j.1365-2656.2002.00631.x
   BOHLIN T, 1994, CAN J FISH AQUAT SCI, V51, P1920, DOI 10.1139/f94-193
   Brett J. R., 1952, Journal of the Fisheries Research Board of Canada, V9, P265
   BROEKHUIZEN N, 1994, FUNCT ECOL, V8, P770, DOI 10.2307/2390237
   Caissie D, 2006, FRESHWATER BIOL, V51, P1389, DOI 10.1111/j.1365-2427.2006.01597.x
   Campbell JL, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009438
   Chapman D.W., 1969, S SALMON TROUT STREA, P153
   Comte L, 2013, FRESHWATER BIOL, V58, P625, DOI 10.1111/fwb.12081
   Constantz J, 1998, WATER RESOUR RES, V34, P1609, DOI 10.1029/98WR00998
   CURRY RA, 1993, ENVIRON BIOL FISH, V37, P131, DOI 10.1007/BF00000588
   Danehy RJ, 2011, FUND APPL LIMNOL, V178, P111, DOI 10.1127/1863-9135/2011/0178-0111
   Davidson RS, 2010, J ANIM ECOL, V79, P1113, DOI 10.1111/j.1365-2656.2010.01708.x
   Dunham JB, 1997, CAN J FISH AQUAT SCI, V54, P1025, DOI 10.1139/cjfas-54-5-1025
   Dwyer WP, 2001, N AM J FISH MANAGE, V21, P646, DOI 10.1577/1548-8675(2001)021<0646:EOBEOW>2.0.CO;2
   ELLIOTT JM, 1993, J ANIM ECOL, V62, P371, DOI 10.2307/5368
   ELLIOTT JM, 1967, J APPL ECOL, V4, P59, DOI 10.2307/2401409
   ELLIOTT JM, 1976, J ANIM ECOL, V45, P923, DOI 10.2307/3590
   ELLIOTT JM, 1975, J ANIM ECOL, V44, P805, DOI 10.2307/3720
   FAUSCH KD, 1984, CAN J ZOOL, V62, P441, DOI 10.1139/z84-067
   Ficklin DL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0071297
   Flitcroft RL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0168831
   Fryirs KA, 2016, EARTH SURF PROC LAND, V41, P701, DOI 10.1002/esp.3893
   Gresswell RE, 2011, N AM J FISH MANAGE, V31, P782, DOI 10.1080/02755947.2011.608980
   Haak A.L., 2010, U.S. Geological Survey Open-File Report 2010-1236
   Hamlet AF, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005099
   Hansen MM, 1997, MOL ECOL, V6, P469, DOI 10.1046/j.1365-294X.1997.t01-1-00202.x
   Hari RE, 2006, GLOBAL CHANGE BIOL, V12, P10, DOI 10.1111/j.1365-2486.2005.001051.x
   Hartson R. B., 2014, ECOL FRESHW FISH, V24, P276
   Harvey BC, 2005, CAN J FISH AQUAT SCI, V62, P650, DOI 10.1139/F04-225
   Harvey BC, 2006, T AM FISH SOC, V135, P998, DOI 10.1577/T05-233.1
   HARVEY JW, 1993, WATER RESOUR RES, V29, P89, DOI 10.1029/92WR01960
   HUTCHINGS JA, 1993, ECOLOGY, V74, P673, DOI 10.2307/1940795
   Hutchings JA, 2006, FUNCT ECOL, V20, P347, DOI 10.1111/j.1365-2435.2006.01092.x
   Hvidsten NA, 2015, J FISH BIOL, V86, P92, DOI 10.1111/jfb.12542
   Imre I, 2004, OECOLOGIA, V138, P371, DOI 10.1007/s00442-003-1432-z
   IPCC (Intergovernmental Panel on Climate Change), 2014, Climate Change 2014: Mitigation of Climate Change, DOI DOI 10.1017/CB09781107415416
   Isaak DJ, 2015, GLOBAL CHANGE BIOL, V21, P2540, DOI 10.1111/gcb.12879
   Isaak DJ, 2012, FISHERIES, V37, P542, DOI 10.1080/03632415.2012.742808
   JARVI T, 1990, AQUACULTURE, V89, P337, DOI 10.1016/0044-8486(90)90137-C
   Jenkins TM, 1999, ECOLOGY, V80, P941, DOI 10.1890/0012-9658(1999)080[0941:EOPDOI]2.0.CO;2
   Jones LA, 2014, RIVER RES APPL, V30, P204, DOI 10.1002/rra.2638
   Jonsson B, 2009, J FISH BIOL, V75, P2381, DOI 10.1111/j.1095-8649.2009.02380.x
   Jonsson B, 2013, J ANIM ECOL, V82, P201, DOI 10.1111/j.1365-2656.2012.02022.x
   JONSSON N, 1991, J FISH BIOL, V39, P739, DOI 10.1111/j.1095-8649.1991.tb04403.x
   Kennedy BP, 2008, ECOLOGY, V89, P2529, DOI 10.1890/06-1353.1
   Kovach RP, 2016, REV FISH BIOL FISHER, V26, P135, DOI 10.1007/s11160-015-9414-x
   Kovach RP, 2012, P ROY SOC B-BIOL SCI, V279, P3870, DOI 10.1098/rspb.2012.1158
   Lawler JJ, 2009, ANN NY ACAD SCI, V1162, P79, DOI 10.1111/j.1749-6632.2009.04147.x
   Leeseberg CA, 2014, ENVIRON BIOL FISH, V97, P599, DOI 10.1007/s10641-014-0219-x
   Leppi JC, 2012, CLIMATIC CHANGE, V112, P997, DOI 10.1007/s10584-011-0235-1
   Lobón-Cerviá J, 2005, CAN J FISH AQUAT SCI, V62, P1231, DOI 10.1139/F05-034
   Lobon-Cervia J, 1998, T AM FISH SOC, V127, P718, DOI 10.1577/1548-8659(1998)127<0718:FAOTIO>2.0.CO;2
   Lobón-Cerviá J, 2014, CAN J FISH AQUAT SCI, V71, P290, DOI 10.1139/cjfas-2013-0320
   Malcolm IA, 2004, HYDROL EARTH SYST SC, V8, P449, DOI 10.5194/hess-8-449-2004
   MASON W T JR, 1983, Environmental Monitoring and Assessment, V3, P29, DOI 10.1007/BF00394030
   May BE, 2007, RANGE WIDE STATUS YE
   McCormick SD, 1998, AQUACULTURE, V168, P221, DOI 10.1016/S0044-8486(98)00351-2
   Miller SW, 2014, CAN J FISH AQUAT SCI, V71, P675, DOI 10.1139/cjfas-2013-0562
   MINSHALL GW, 1983, ECOL MONOGR, V53, P1, DOI 10.2307/1942585
   Morita K, 2002, ECOL MODEL, V155, P85, DOI 10.1016/S0304-3800(02)00128-X
   Mote PW, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017258
   Myrvold KM, 2015, ECOL FRESHW FISH, V24, P373, DOI 10.1111/eff.12151
   NAKANO S, 1992, JPN J ICHTHYOL, V39, P211, DOI 10.1007/BF02905478
   Neville HM, 2014, CAN J FISH AQUAT SCI, V71, P1680, DOI 10.1139/cjfas-2014-0138
   Nislow KH, 2004, T AM FISH SOC, V133, P79, DOI 10.1577/T02-168
   Otero J, 2014, GLOBAL CHANGE BIOL, V20, P61, DOI 10.1111/gcb.12363
   Pederson GT, 2011, SCIENCE, V333, P332, DOI 10.1126/science.1201570
   PICKERING AD, 1984, J FISH BIOL, V24, P731, DOI 10.1111/j.1095-8649.1984.tb04844.x
   Poff NL, 1997, BIOSCIENCE, V47, P769, DOI 10.2307/1313099
   Poole GC, 2001, ENVIRON MANAGE, V27, P787, DOI 10.1007/s002670010188
   Railsback SF, 1999, T AM FISH SOC, V128, P241, DOI 10.1577/1548-8659(1999)128<0241:BMOSTG>2.0.CO;2
   Rand PS, 2006, T AM FISH SOC, V135, P655, DOI 10.1577/T05-023.1
   REZNICK D, 1983, ECOLOGY, V64, P862, DOI 10.2307/1937209
   Rodnick KJ, 2004, J FISH BIOL, V64, P310, DOI 10.1111/j.0022-1112.2004.00292.x
   SCOTT DP, 1962, J FISH RES BOARD CAN, V19, P715, DOI 10.1139/f62-047
   Sepulveda AJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0145060
   Sloat MR, 2014, CAN J FISH AQUAT SCI, V71, P491, DOI 10.1139/cjfas-2013-0366
   Stapp P, 2002, J FRESHWATER ECOL, V17, P319, DOI 10.1080/02705060.2002.9663900
   STEARNS SC, 1976, Q REV BIOL, V51, P3, DOI 10.1086/409052
   Stewart IT, 2005, J CLIMATE, V18, P1136, DOI 10.1175/JCLI3321.1
   Teichert MAK, 2010, J FISH BIOL, V76, P1751, DOI 10.1111/j.1095-8649.2010.02614.x
   Thurow Russell F., 1997, North American Journal of Fisheries Management, V17, P1094, DOI 10.1577/1548-8675(1997)017<1094:DASOSN>2.3.CO;2
   Tonkin Z, 2017, HYDROBIOLOGIA, V797, P289, DOI 10.1007/s10750-017-3192-5
   Vollestad LA, 2002, J FISH BIOL, V61, P1513, DOI 10.1006/jfbi.2002.2170
   Warren DR, 2012, GLOBAL CHANGE BIOL, V18, P1804, DOI 10.1111/j.1365-2486.2012.02670.x
   Warren DR, 2009, T AM FISH SOC, V138, P200, DOI 10.1577/T08-046.1
   Weber N, 2014, CAN J FISH AQUAT SCI, V71, P1158, DOI 10.1139/cjfas-2013-0390
   Wenger SJ, 2011, P NATL ACAD SCI USA, V108, P14175, DOI 10.1073/pnas.1103097108
   Williams JE, 2009, N AM J FISH MANAGE, V29, P533, DOI 10.1577/M08-072.1
   Woodward G, 2010, PHILOS T R SOC B, V365, P2093, DOI 10.1098/rstb.2010.0055
   Xu CL, 2010, J FISH BIOL, V76, P2342, DOI 10.1111/j.1095-8649.2010.02619.x
   Xu CL, 2010, FRESHWATER BIOL, V55, P2253, DOI 10.1111/j.1365-2427.2010.02430.x
   Zhu WQ, 2012, GLOBAL ECOL BIOGEOGR, V21, P260, DOI 10.1111/j.1466-8238.2011.00675.x
NR 100
TC 9
Z9 11
U1 0
U2 22
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-8487
EI 1548-8659
J9 T AM FISH SOC
JI Trans. Am. Fish. Soc.
PD JAN
PY 2019
VL 148
IS 1
BP 21
EP 34
DI 10.1002/tafs.10106
PG 14
WC Fisheries
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries
GA HI1NO
UT WOS:000456212400002
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Danial-Farran, N
   Nasser, NJ
   Beiles, A
   Brenner, B
   Sarig, G
   Nevo, E
AF Danial-Farran, N.
   Nasser, N. J.
   Beiles, A.
   Brenner, B.
   Sarig, G.
   Nevo, E.
TI Adaptive evolution of coagulation and blood properties in hypoxia
   tolerant <i>Spalax</i> in Israel
SO JOURNAL OF ZOOLOGY
LA English
DT Article
DE Spalax; coagulation; thrombosis; blood properties; hemoglobin; hypoxia;
   mole rats
ID BLIND MOLE-RAT; HB D-PUNJAB; SYMPATRIC SPECIATION; HEMOGLOBIN-FUNCTION;
   GENETIC ALTERATIONS; CANCER RESISTANCE; BLEEDING-TIME; EHRENBERGI;
   DIVERGENCE; HEPARANASE
AB The subterranean blind mole rat (Spalax) is adapted to underground life stresses genomically, proteomically, and phenomically. It has been studied multidisciplinarily as an evolutionary model, and a potential medical therapy resource. The four parapatric species in Israel, are climatically adapted. Here, we examine coagulation, and blood properties of one population in each of the four species. Our results show that Spalax galili possesses the shortest average bleeding time compared to the other Spalax species (P < 0.04). Likewise, Spalax galili possesses the shortest average activated partial thromboplastin time. Prothrombin time is 16.34 +/- 4.25, 23.3 +/- 8.99, 15.71 +/- 4.24, and 17.37 +/- 6.02 s in Spalax galili, Spalax golani, Spalax carmeli and Spalax judaei, respectively, with significant differences between Spalax galili and Spalax golani, and between Spalax golani and Spalax carmeli populations (P < 0.05). Blood hemoglobin is higher in Spalax galili and Spalax golani compared to Spalax carmeli and Spalax judaei populations. Bleeding time, coagulation profiles, and blood properties differ partly between the examined populations. These differences appear adaptive, associated with climatic variation, population density, and the risk of injury during digging, fighting and preying. The population under the highest injury risk displayed the shortest bleeding time.
C1 [Danial-Farran, N.; Nasser, N. J.; Beiles, A.; Nevo, E.] Univ Haifa, Int Grad Ctr Evolut, Inst Evolut, IL-31905 Haifa, Israel.
   [Brenner, B.; Sarig, G.] Rambam Hlth Care Campus, Dept Hematol & Bone Marrow Transplantat, Thrombosis & Hemostasis Unit, Haifa, Israel.
   [Brenner, B.; Sarig, G.] Technion Israel Inst Technol, Bruce Rappaport Fac Med, Haifa, Israel.
   [Sarig, G.] Rambam Hlth Care Campus, Hematol Lab, Haifa, Israel.
C3 University of Haifa; Rambam Health Care Campus; Technion Israel
   Institute of Technology; Rappaport Faculty of Medicine; Rambam Health
   Care Campus
RP Nasser, NJ; Nevo, E (corresponding author), Univ Haifa, Int Grad Ctr Evolut, Inst Evolut, IL-31905 Haifa, Israel.
EM nicola.nasser@gmail.com; nevo@research.haifa.ac.il
CR [Anonymous], EVOL BIOL
   [Anonymous], 2008, CD 1 MOUS HEM
   ARIELI R, 1984, EXPERIENTIA, V40, P512, DOI 10.1007/BF01952413
   ARIELI R, 1986, EXPERIENTIA, V42, P441, DOI 10.1007/BF02118650
   Ashur-Fabian C, 2004, P NATL ACAD SCI USA, V101, P12236, DOI 10.1073/pnas.0404998101
   Atweh George F, 2003, Hematology Am Soc Hematol Educ Program, P14, DOI 10.1182/asheducation-2003.1.14
   Avivi A, 2005, FASEB J, V19, P1314, DOI 10.1096/fj.04-3414fje
   Avivi A, 2002, P NATL ACAD SCI USA, V99, P11718, DOI 10.1073/pnas.182423299
   BUNN HF, 1981, BLOOD, V58, P189
   Couch L., 1993, PARASITOLOGY, V79, P181
   Dacie J., 2012, DACIE LEWIS PRACTICA
   DEJANA E, 1979, THROMB RES, V15, P191, DOI 10.1016/0049-3848(79)90064-1
   Emeis JJ, 2007, J THROMB HAEMOST, V5, P670, DOI 10.1111/j.1538-7836.2007.02408.x
   Fang XD, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4966
   Fucharoen S, 2002, HEMOGLOBIN, V26, P261, DOI 10.1081/HEM-120015030
   Giknis ML., 2008, CLIN LAB PARAMETERS
   Gorbunova V, 2012, P NATL ACAD SCI USA, V109, P19392, DOI 10.1073/pnas.1217211109
   Hadid Y, 2013, P NATL ACAD SCI USA, V110, P2587, DOI 10.1073/pnas.1222588110
   Jirouskova M, 2007, J THROMB HAEMOST, V5, P661, DOI 10.1111/j.1538-7836.2007.02407.x
   Lewis KN, 2015, P NATL ACAD SCI USA, V112, P3722, DOI 10.1073/pnas.1417566112
   Li KX, 2016, P NATL ACAD SCI USA, V113, P7584, DOI 10.1073/pnas.1607497113
   Li KX, 2015, P NATL ACAD SCI USA, V112, P11905, DOI 10.1073/pnas.1514896112
   Lövy M, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133157
   Maleki A, 2012, ARYA ATHEROSCLER, V8, P136
   Manov I, 2013, BMC BIOL, V11, DOI 10.1186/1741-7007-11-91
   Nasser NJ, 2008, CELL MOL LIFE SCI, V65, P1706, DOI 10.1007/s00018-008-7584-6
   Nasser NJ, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004528
   Nasser NJ, 2009, P NATL ACAD SCI USA, V106, P2253, DOI 10.1073/pnas.0812846106
   Nasser NJ, 2005, P NATL ACAD SCI USA, V102, P15161, DOI 10.1073/pnas.0507279102
   Natarajan C, 2015, MOL BIOL EVOL, V32, P978, DOI 10.1093/molbev/msu403
   NEVO E, 1986, J GENET, V65, P65, DOI 10.1007/BF02923537
   Nevo E., 2001, Adaptive Radiation of Blind Subterranean Mole Rats
   Nevo E, 2013, MOL PHYLOGENET EVOL, V66, P515, DOI 10.1016/j.ympev.2012.09.008
   PEVET P, 1984, J EXP ZOOL, V232, P41, DOI 10.1002/jez.1402320106
   Revsbech IG, 2013, J EXP BIOL, V216, P4264, DOI 10.1242/jeb.091397
   Roguin A, 2003, P NATL ACAD SCI USA, V100, P4644, DOI 10.1073/pnas.0330833100
   Shams I, 2005, COMP BIOCHEM PHYS A, V142, P376, DOI 10.1016/j.cbpa.2005.09.003
   Shams I, 2004, P NATL ACAD SCI USA, V101, P9698, DOI 10.1073/pnas.0403540101
   Sklíba J, 2016, BIOL J LINN SOC, V118, P280, DOI 10.1111/bij.12741
   Tian X, 2013, NATURE, V499, P346, DOI 10.1038/nature12234
   van den Boogaard FE, 2015, CRIT CARE MED, V43, pE75, DOI 10.1097/CCM.0000000000000853
   Yang H, 1998, FEBS LETT, V430, P343, DOI 10.1016/S0014-5793(98)00690-5
   Yavarian M, 2009, HEMOGLOBIN, V33, P399, DOI [10.3109/03630260903344598, 10.3109/03630260903351809]
   Zakerinia M, 2011, IRAN RED CRESCENT ME, V13, P493
NR 44
TC 2
Z9 2
U1 1
U2 9
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0952-8369
EI 1469-7998
J9 J ZOOL
JI J. Zool.
PD NOV
PY 2017
VL 303
IS 3
DI 10.1111/jzo.12480
PG 10
WC Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Zoology
GA FL5CD
UT WOS:000414247800007
DA 2025-01-10
ER

PT J
AU Muilu-Mäkelä, R
   Vuosku, J
   Saarinen, M
   Hamberg, L
   Ruotsalainen, S
   Häggman, H
   Sarjala, T
AF Muilu-Makela, Riina
   Vuosku, Jaana
   Saarinen, Markku
   Hamberg, Leena
   Ruotsalainen, Seppo
   Haggman, Hely
   Sarjala, Tytti
TI Coping with spring frost-effects on polyamine metabolism of Scots pine
   seedlings
SO IFOREST-BIOGEOSCIENCES AND FORESTRY
LA English
DT Article
DE Phenylpropanoids; Polyamines; Scots Pine; Spring Frost
ID CLIMATIC ADAPTATION; GENE-EXPRESSION; COLD STRESS; TEMPERATURE; GROWTH;
   DAMAGE; IDENTIFICATION; ACCLIMATION; RESISTANCE; TOLERANCE
AB Polyamines (PA) are ubiquitous polycations known to be involved in several phases of plant development as well as in tolerance to abiotic stresses. Phenols are complex secondary metabolites produced via the phenylpropanoid pathway that contain, e.g., cell wall compounds and antioxidants. Phenols are known to enhance chilling tolerance of plants. PA and phenolic pathways are connected via conjugation. In boreal coniferous forests spring frost has been considered to have severe effects on the survival of tree seedlings. Such effects are likely to increase in the future. The present study focuses on the role of PA and phenylpropanoid syntheses in the coping strategies of Scots pine exposed to cold temperatures during the vulnerable early seedling phase in late spring and early summer. We found that spring frost affects the expression of genes regulating PA metabolism and phenylpropanoid synthesis differently in above and below ground parts of the seedlings, whereas PA or phenol contents in tissues were not affected. The results suggest that Scots pine seedlings may not have time to develop metabolite level responses during a short period of freezing stress and, therefore, the originally different PA levels, especially in roots, may influence the tolerance of Scots pine seedlings to spring frost.
C1 [Muilu-Makela, Riina; Saarinen, Markku; Sarjala, Tytti] Nat Resources Inst Finland Luke, Parkano Res Unit, FI-39700 Parkano, Finland.
   [Muilu-Makela, Riina; Vuosku, Jaana; Haggman, Hely] Univ Oulu, Genet & Physiol Dept, POB 3000, FI-90014 Oulu, Finland.
   [Hamberg, Leena] Nat Resources Inst Finland Luke, Vantaa Res Unit, FI-01370 Vantaa, Finland.
   [Ruotsalainen, Seppo] Nat Resources Inst Finland Luke, Punkaharju Res Unit, FI-58450 Punkaharju, Finland.
C3 Natural Resources Institute Finland (Luke); University of Oulu; Natural
   Resources Institute Finland (Luke); Natural Resources Institute Finland
   (Luke)
RP Muilu-Mäkelä, R (corresponding author), Nat Resources Inst Finland Luke, Parkano Res Unit, FI-39700 Parkano, Finland.; Muilu-Mäkelä, R (corresponding author), Univ Oulu, Genet & Physiol Dept, POB 3000, FI-90014 Oulu, Finland.
EM riina.muilu-makela@luke.fi
RI MuiluMakela, Riina/LCD-3066-2024; Sarjala, Tytti/F-4425-2015
FU Thule Institute; Academy of Finland [121994]; Graduate School of Forest
   Sciences; Academy of Finland (AKA) [121994] Funding Source: Academy of
   Finland (AKA)
FX We are grateful to Ms. Eeva Pihlajaviita, Ms. Anneli Kaenmaki and Ms.
   Hanna Leppalammi for their skillful technical help. We thank language
   editor Dr. Otso Huitu who revised English of the manuscript. The
   research was funded by the Thule Institute (2010-2013) (to HH), Academy
   of Finland (Project 121994 to TS) and Graduate School of Forest Sciences
   (2012-2016) (to RMM).
CR Alcázar R, 2011, PLANT SCI, V180, P31, DOI 10.1016/j.plantsci.2010.07.022
   [Anonymous], nlme: Linear and Nonlinear Mixed Effects Models
   [Anonymous], PLANT CELL TISSUE OR
   [Anonymous], DISSERTATIONES FORES
   [Anonymous], PLANT PHYSL BIOCH
   [Anonymous], P 7 INT C MUSHR BIOL
   [Anonymous], PLANT SCI
   Bassard JE, 2010, PHYTOCHEMISTRY, V71, P1808, DOI 10.1016/j.phytochem.2010.08.003
   Beck EH, 2004, J BIOSCIENCES, V29, P449, DOI 10.1007/BF02712118
   Bomal C, 2008, J EXP BOT, V59, P3925, DOI 10.1093/jxb/ern234
   Boudet AM, 2007, PHYTOCHEMISTRY, V68, P2722, DOI 10.1016/j.phytochem.2007.06.012
   Chinnusamy V, 2007, TRENDS PLANT SCI, V12, P444, DOI 10.1016/j.tplants.2007.07.002
   Chong JL, 2009, PLANT SCI, V177, P143, DOI 10.1016/j.plantsci.2009.05.012
   Core Team, 2014, R LANGUAGE ENV
   Craven-Bartle B, 2013, PLANT J, V74, P755, DOI 10.1111/tpj.12158
   Douglas CJ, 1996, TRENDS PLANT SCI, V1, P171, DOI 10.1016/1360-1385(96)10019-4
   Dubos C, 2010, TRENDS PLANT SCI, V15, P573, DOI 10.1016/j.tplants.2010.06.005
   Fornalé S, 1999, NEW PHYTOL, V143, P581, DOI 10.1046/j.1469-8137.1999.00480.x
   Gaquerel E, 2014, PLANT J, V79, P679, DOI 10.1111/tpj.12503
   Groppa MD, 2008, AMINO ACIDS, V34, P35, DOI 10.1007/s00726-007-0501-8
   Guo ZF, 2014, PLANT BIOTECHNOL J, V12, P601, DOI 10.1111/pbi.12166
   Häggman H, 2009, METHODS MOL BIOL, V547, P35, DOI 10.1007/978-1-60327-287-2_3
   Hänninen H, 2006, TREE PHYSIOL, V26, P889, DOI 10.1093/treephys/26.7.889
   Hatmi S, 2014, J EXP BOT, V65, P75, DOI 10.1093/jxb/ert351
   Johnsen O, 2005, PLANT CELL ENVIRON, V28, P1090, DOI 10.1111/j.1365-3040.2005.01356.x
   Joosen RVL, 2006, TREE PHYSIOL, V26, P1297, DOI 10.1093/treephys/26.10.1297
   Juntunen V, 2006, SILVA FENN, V40, P443, DOI 10.14214/sf.329
   Koag MC, 2009, PLANT PHYSIOL, V150, P1503, DOI 10.1104/pp.109.136697
   Kontunen-Soppela S, 2000, PHYSIOL PLANTARUM, V109, P404, DOI 10.1034/j.1399-3054.2000.100406.x
   Krasensky J, 2012, J EXP BOT, V63, P1593, DOI 10.1093/jxb/err460
   Kujala ST, 2012, TREE GENET GENOMES, V8, P1451, DOI 10.1007/s11295-012-0532-5
   Langvall O, 2011, SCAND J FOREST RES, V26, P56, DOI 10.1080/02827581.2011.564399
   Leinonen I, 1997, ANN BOT-LONDON, V79, P133, DOI 10.1006/anbo.1996.0321
   Muilu-Mäkelä R, 2015, PLANT PHYSIOL BIOCH, V88, P70, DOI 10.1016/j.plaphy.2015.01.009
   Pottosin I, 2014, J EXP BOT, V65, P1271, DOI 10.1093/jxb/ert423
   Rikala R, 1987, SCAND J FOREST RES, V2, P433, DOI 10.1080/02827588709382480
   Ryyppö A, 1998, PHYSIOL PLANTARUM, V102, P503, DOI 10.1034/j.1399-3054.1998.1020404.x
   SARJALA T, 1993, TREE PHYSIOL, V13, P87, DOI 10.1093/treephys/13.1.87
   Shi YT, 2015, PLANT CELL PHYSIOL, V56, P7, DOI 10.1093/pcp/pcu115
   Singleton VL, 1999, METHOD ENZYMOL, V299, P152
   Solecka D, 2003, PHYSIOL PLANTARUM, V119, P253, DOI 10.1034/j.1399-3054.2003.00181.x
   Tang W, 2005, PLANT CELL REP, V24, P581, DOI 10.1007/s00299-005-0021-5
   Tang W, 2007, PLANT CELL REP, V26, P115, DOI 10.1007/s00299-006-0228-0
   Theocharis A, 2012, PLANTA, V235, P1091, DOI 10.1007/s00425-012-1641-y
   VAPAAVUORI EM, 1992, TREE PHYSIOL, V10, P217, DOI 10.1093/treephys/10.3.217
   Vuosku J, 2015, BMC PLANT BIOL, V15, DOI 10.1186/s12870-015-0462-0
   Yakovlev IA, 2011, PLANT SCI, V180, P132, DOI 10.1016/j.plantsci.2010.07.004
   Yang YZ, 2012, BMC PLANT BIOL, V12, DOI 10.1186/1471-2229-12-140
NR 48
TC 3
Z9 3
U1 0
U2 16
PU SISEF-SOC ITALIANA SELVICOLTURA ECOL FORESTALE
PI POTENZA
PA DEPT PROD VEGETALE, VIA ATENEO LUCANO 10, POTENZA, 85100, ITALY
SN 1971-7458
J9 IFOREST
JI iForest
PD FEB
PY 2017
VL 10
BP 227
EP 236
DI 10.3832/ifor2003-009
PG 10
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA EN2TC
UT WOS:000395862000031
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Lowry, DB
   Purmal, CT
   Juenger, TE
AF Lowry, David B.
   Purmal, Colin T.
   Juenger, Thomas E.
TI A POPULATION GENETIC TRANSECT OF <i>PANICUM HALLII</i> (POACEAE)
SO AMERICAN JOURNAL OF BOTANY
LA English
DT Article
DE climate; cline; ecotype; local adaptation; Panicum hallii; Poaceae;
   population structure
ID SANTA CATALINA MOUNTAINS; LANDSCAPE GENETICS; LOCAL ADAPTATION;
   PERENNIAL GRASS; CLIMATE-CHANGE; VEGETATION; PLANT; DIVERSITY; PATTERNS;
   VIRGATUM
AB Premise of study: Understanding the relationship between climate, adaptation, and population structure is of fundamental importance to botanists because these factors are crucial for the evolution of biodiversity and the response of species to future climate change. Panicum hallii is an emerging model system for perennial grass and bioenergy research, yet very little is known about the relationship between climate and population structure in this system.
   Methods: We analyzed geographic population differentiation across 39 populations of P. hallii along a longitudinal transect from the savannas of central Texas through the deserts of Arizona and New Mexico. A combination of morphological and genetic (microsatellite) analysis was used to explore patterns of population structure.
   Key results: We found strong differentiation between high elevation western desert populations and lower elevation eastern populations of P. hallii, with a pronounced break in structure occurring in western Texas. In addition, we confirmed that there are high levels of morphological and genetic structure between previous recognized varieties (var. hallii and var. filipes) within this species.
   Conclusions: The results of this study suggest that patterns of population structure within P. hallii may be driven by climatic variation over space. Overall, this study lays the groundwork for future studies on the genetics of local adaptation and reproductive isolation in this system.
C1 [Lowry, David B.; Purmal, Colin T.; Juenger, Thomas E.] Univ Texas Austin, Sect Integrat Biol, Austin, TX 78712 USA.
C3 University of Texas System; University of Texas Austin
RP Lowry, DB (corresponding author), Univ Texas Austin, Sect Integrat Biol, 1 Univ Stn C0930, Austin, TX 78712 USA.
EM davidbryantlowry@gmail.com
FU National Science Foundation [IOS-0922457]; U. S. Department of
   Agriculture NIFA-AFRI [2011-67012-30696]; NIFA [2011-67012-30696,
   687448] Funding Source: Federal RePORTER
FX The authors thank A. Asmus, T. Quedensley, J. Reilley, and S. Taylor for
   help with collections and plant propagation. K. Behrman provided
   assistance with geographic analyses and E. Meyer helped to design
   microsatellites. D. Trock and M. Vann provided greenhouse assistance.
   Two anonymous reviewers provided excellent comments that improved our
   manuscript. They also thank the following for providing seed collections
   and permission for our collections: The Ladybird Johnson Wildflower
   Center, The Brackenridge Field Laboratory, The Nature Conservancy of
   Texas, The State Parks of Texas, The Kika de la Garza Plant Materials
   Center, members of Christine Hawkes laboratory, and The University of
   Arizona and Arizona State University Herbaria. Funding was provided
   through a National Science Foundation Plant Genome Research Program
   Award (IOS-0922457) to T. J. and a U. S. Department of Agriculture
   NIFA-AFRI postdoctoral fellowship (2011-67012-30696) to D.L.
CR Albani MC, 2010, CURR TOP DEV BIOL, V91, P323, DOI 10.1016/S0070-2153(10)91011-9
   Anderson JT, 2011, TRENDS GENET, V27, P258, DOI 10.1016/j.tig.2011.04.001
   [Anonymous], 1951, Stages in the Evolution of Plant Species
   [Anonymous], 1981, Plant speciation
   [Anonymous], DISTRIBUTION GRASSES
   BOX TW, 1969, J RANGE MANAGE, V22, P373, DOI 10.2307/3895845
   Brownstein MJ, 1996, BIOTECHNIQUES, V20, P1004, DOI 10.2144/96206st01
   Campbell RS, 1929, ECOLOGY, V10, P392, DOI 10.2307/1931147
   CAMPBELLKISSOCK L, 1985, SOUTHWEST NAT, V30, P543, DOI 10.2307/3671048
   Cassman KG, 2003, ANNU REV ENV RESOUR, V28, P315, DOI 10.1146/annurev.energy.28.040202.122858
   Clausen J., 1958, EXPT STUDIES NATURE, VIV
   Coop G, 2010, GENETICS, V185, P1411, DOI 10.1534/genetics.110.114819
   Costich DE, 2010, PLANT GENOME-US, V3, P130, DOI 10.3835/plantgenome2010.04.0010
   Cowling RM, 2002, DIVERS DISTRIB, V8, P163, DOI 10.1046/j.1472-4642.2002.00143.x
   DeHaan LR, 2005, RENEW AGR FOOD SYST, V20, P5, DOI 10.1079/RAF200496
   Ersts P.J., 2012, Geographic Distance Matrix Generator
   Fournier-Level A, 2011, SCIENCE, V334, P86, DOI 10.1126/science.1209271
   FOWLER NL, 1986, AM MIDL NAT, V115, P146, DOI 10.2307/2425844
   Goudet J., 2002, FSTAT Version 2.9.3.2. A program to estimate and test gene diversities and fixation indices
   Gould F.W., 1975, THE GRASSES OF TEXAS
   GOULD FW, 1958, AM J BOT, V45, P757, DOI 10.2307/2439737
   Hancock AM, 2011, SCIENCE, V334, P83, DOI 10.1126/science.1209244
   HATCH S. L., 2003, GRASSES TEXAS PRAIRE
   Heaton EA, 2008, GLOBAL CHANGE BIOL, V14, P2000, DOI 10.1111/j.1365-2486.2008.01662.x
   Hereford J, 2009, AM NAT, V173, P579, DOI 10.1086/597611
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Jensen JL, 2005, BMC GENET, V6, DOI 10.1186/1471-2156-6-13
   Jones FC, 2012, NATURE, V484, P55, DOI 10.1038/nature10944
   Joost S, 2007, MOL ECOL, V16, P3955, DOI 10.1111/j.1365-294X.2007.03442.x
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   KECK D. D., 1940, EXPT STUDIES NATUR S
   Kelly AJ, 1998, MOL ECOL, V7, P769, DOI 10.1046/j.1365-294x.1998.00328.x
   Lasky JR, 2012, MOL ECOL, V21, P5512, DOI 10.1111/j.1365-294X.2012.05709.x
   Lenormand T, 2002, TRENDS ECOL EVOL, V17, P183, DOI 10.1016/S0169-5347(02)02497-7
   Lowry DB, 2008, EVOLUTION, V62, P2196, DOI 10.1111/j.1558-5646.2008.00457.x
   Lowry DB, 2012, NEW PHYTOL, V194, P888, DOI 10.1111/j.1469-8137.2012.04146.x
   Lowry DB, 2012, BIOL J LINN SOC, V106, P241, DOI 10.1111/j.1095-8312.2012.01867.x
   Lowry DB, 2012, AM J BOT, V99, pE114, DOI 10.3732/ajb.1100430
   Lowry DB, 2010, BIOL LETTERS, V6, P502, DOI 10.1098/rsbl.2009.0969
   Manel S, 2005, TRENDS ECOL EVOL, V20, P136, DOI 10.1016/S0169-5347(03)00008-9
   McElwain JC., 2011, CLIMATE CHANGE ECOLO, P122
   MCMILLAN C, 1959, AM J BOT, V46, P590, DOI 10.2307/2439303
   Meyer E, 2012, PLANT J, V70, P879, DOI 10.1111/j.1365-313X.2012.04938.x
   MILSTEAD WILLIAM M., 1960, SOUTHWESTERN NAT, V5, P75, DOI 10.2307/3669459
   Nordborg M, 2005, PLOS BIOL, V3, P1289, DOI 10.1371/journal.pbio.0030196
   Peakall R, 2006, MOL ECOL NOTES, V6, P288, DOI 10.1111/j.1471-8286.2005.01155.x
   Pennington RT, 2004, PHILOS T R SOC B, V359, P515, DOI 10.1098/rstb.2003.1435
   Pinheiro J., 2021, nlme: Linear and nonlinear mixed effects models
   PORTER CL, 1966, ECOLOGY, V47, P980, DOI 10.2307/1935646
   Poulos HM, 2007, FOREST ECOL MANAG, V244, P1, DOI 10.1016/j.foreco.2007.03.033
   Poulos HM, 2010, ECOLOGY, V91, P1140, DOI 10.1890/08-1808.1
   Pritchard JK, 2000, GENETICS, V155, P945
   Ramírez RG, 2004, SMALL RUMINANT RES, V52, P261, DOI 10.1016/S0921-4488(03)00257-8
   Rohde A, 2007, TRENDS PLANT SCI, V12, P217, DOI 10.1016/j.tplants.2007.03.012
   Roux F, 2006, TRENDS PLANT SCI, V11, P375, DOI 10.1016/j.tplants.2006.06.006
   Savolainen O, 2011, SCIENCE, V334, P49, DOI 10.1126/science.1213788
   Schmer MR, 2008, P NATL ACAD SCI USA, V105, P464, DOI 10.1073/pnas.0704767105
   Schwartz MK, 2010, SPATIAL COMPLEXITY, INFORMATICS, AND WILDLIFE CONSERVATION, P165, DOI 10.1007/978-4-431-87771-4_9
   SLATKIN M, 1987, SCIENCE, V236, P787, DOI 10.1126/science.3576198
   SMEINS FE, 1976, J RANGE MANAGE, V29, P24, DOI 10.2307/3897683
   Smouse PE, 1999, HEREDITY, V82, P561, DOI 10.1038/sj.hdy.6885180
   Song BH, 2009, GENETICS, V181, P1021, DOI 10.1534/genetics.108.095364
   Sork VL, 2010, MOL ECOL, V19, P3489, DOI 10.1111/j.1365-294X.2010.04786.x
   Thomas H, 2000, J EXP BOT, V51, P1781, DOI 10.1093/jexbot/51.352.1781
   Town CD, 2006, CURR OPIN PLANT BIOL, V9, P122, DOI 10.1016/j.pbi.2006.01.004
   Triplett JK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038702
   Turesson G, 1922, HEREDITAS, V3, P211, DOI 10.1111/j.1601-5223.1922.tb02734.x
   VANDEVENDER TR, 1979, SCIENCE, V204, P701, DOI 10.1126/science.204.4394.701
   Visser ME, 2008, P ROY SOC B-BIOL SCI, V275, P649, DOI 10.1098/rspb.2007.0997
   Vogel JP, 2010, NATURE, V463, P763, DOI 10.1038/nature08747
   Volaire F, 2003, NEW PHYTOL, V160, P501, DOI 10.1046/j.1469-8137.2003.00906.x
   Waller F.R., 1976, THESIS TEXAS A M U C
   Wang S, 2012, NAT METHODS, V9, P808, DOI [10.1038/NMETH.2023, 10.1038/nmeth.2023]
   WHITTAKER RH, 1975, ECOLOGY, V56, P771, DOI 10.2307/1936291
   WHITTAKER RH, 1965, ECOLOGY, V46, P429, DOI 10.2307/1934875
   Zalapa JE, 2011, THEOR APPL GENET, V122, P805, DOI 10.1007/s00122-010-1488-1
   Zhang YW, 2011, GENETICA, V139, P933, DOI 10.1007/s10709-011-9597-6
NR 79
TC 14
Z9 16
U1 0
U2 22
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-9122
EI 1537-2197
J9 AM J BOT
JI Am. J. Bot.
PD MAR
PY 2013
VL 100
IS 3
BP 592
EP 601
DI 10.3732/ajb.1200379
PG 10
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 098TL
UT WOS:000315571900013
PM 23425558
DA 2025-01-10
ER

PT J
AU Warrick, R
   Ashford, G
   Kouwenhoven, P
   Li, Y
   Urich, P
   Ye, W
AF Warrick, R.
   Ashford, G.
   Kouwenhoven, P.
   Li, Y.
   Urich, P.
   Ye, W.
TI Spatial risk-based assessments for climate adaptation using the SimCLIM
   modelling system: a case study of domestic rainwater harvesting as the
   sole source of water
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE adaptation; climate change; climate risks; impacts; rainwater
   harvesting; SimCLIM
AB This paper describes a software modelling system, SimCLIM, for simulating the effects of climate variability and change, and demonstrates its application to domestic rainwater harvesting (RWH). The paper first describes SimCLIM and then focuses on a case study of the reliability of domestic RWH systems as the sole source of water in South East Queensland, a region of high spatial and temporal variability in rainfall. Using the SimCLIM scenario generator along with gridded daily time-series data and a domestic water tank model, 'risk landscapes' are created based on the risk of failure of the domestic systems to provide water under both current climate and scenarios of future change. Steep risk gradients were found, with major implications for RWH system configuration. Simulations are then performed in order to examine the trade-offs between two broad strategies - increasing runoff area and increasing tank size - required to maintain a reliable system. The paper concludes that, instead of set specifications, location-specific customisation of RWH systems is preferable in order to ensure reliability under current rainfall variability and sustainability over the long term under climate change. The availability of gridded daily rainfall datasets along with modelling tools like SimCLIM makes this customisation practicable.
C1 [Warrick, R.; Ashford, G.] Univ Sunshine Coast, Fac Sci Hlth Educ & Engn, Maroochydore, Qld 4558, Australia.
   [Kouwenhoven, P.; Li, Y.; Urich, P.] CLIMsyst Ltd, Hamilton, New Zealand.
   [Ye, W.] Univ Waikato, Fac Sci & Engn, Hamilton, New Zealand.
C3 University of the Sunshine Coast; University of Waikato
RP Warrick, R (corresponding author), Univ Sunshine Coast, Fac Sci Hlth Educ & Engn, Locked Bag 4, Maroochydore, Qld 4558, Australia.
EM rwarrick@usc.edu.au
RI Ashford, Graham/AAK-3974-2021
OI Ashford, Graham/0000-0002-8458-6218
CR [Anonymous], MAGICC SCENGEN 4 1 T
   Ariyananda T., 2010, Hydro Nepal: Journal of Water, Energy and Environment, V6, P27
   Climate Change Centre of Excellence, 2007, S E QUEENSL DROUGHT
   CLIMsystems, 2011, CLIMSYSTEMS HOM
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   Nijhof S., 2010, Waterlines, V29, P209, DOI 10.3362/1756-3488.2010.022
   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]
   Randall DA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P589
   Santer B. D., 1990, Developing climate scenarios from equilibrium GCM results
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Warrick R.A., 2005, P INT C MODELLING SI, P170
   Warrick R.A., 2009, 18 WORLD IMACS C MOD
   Warrick R.A., 2009, Integrated Regional Assessment: Challenges and Case Studies
   Warrick R. A., 2009, P 14 INT RAINW CATCH
   Whetton P. H, 2001, METHODS USED PREPARE
NR 15
TC 10
Z9 10
U1 1
U2 20
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 DEC
PY 2012
VL 3
IS 4
BP 257
EP 265
DI 10.2166/wcc.2012.003
PG 9
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA 047DU
UT WOS:000311818700002
DA 2025-01-10
ER

PT J
AU Collins, L
   Natarajan, S
   Levermore, G
AF Collins, Lisa
   Natarajan, Sukumar
   Levermore, Geoff
TI Climate change and future energy consumption in UK housing stock
SO BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY
LA English
DT Article
AB This paper examines the likely effects on gas and electricity consumption and carbon emissions from heating and cooling systems in existing dwellings up to 2080, assuming a widespread uptake of cooling systems. This area of research is highly sensitive to the myriad of possible inputs and thus holds a wide range of predicted outcomes. However, general trends have been found, showing significant sensitivity to ventilation rate, U-values, occupant behaviour and location. Heating demand will still be dominant over cooling demand in UK dwellings by the 2080s, based on an UKCIP02 A1F1 weather scenario. A national worst case scenario for the 2050s, shows a 10 megatonne CO2 emissions saving on present levels largely due to a 20% reduction in gas consumption.
   Practical applications: The balance of heating and cooling demand causes more modest changes in CO2 than first anticipated. Despite first perceptions of future energy use in housing and climate change, heating appears to remain the major load rather than cooling, even into the 2080s. These predictions of future CO2 emissions will be useful to those in the building industry planning appropriate proportionate climate adaptation and climate mitigation measures. Also, the prediction of changes to future energy demands from the housing sector will be of interest to energy providers considering future demands for heating and cooling and may feed into larger bottom-up energy models.
C1 [Collins, Lisa; Levermore, Geoff] Univ Manchester, Sch Mech Aerosp & Civil Engn, Manchester M13 9PL, Lancs, England.
   [Natarajan, Sukumar] Univ Bath, Dept Architecture & Civil Engn, Bath BA2 7AY, Avon, England.
C3 University of Manchester; University of Bath
RP Collins, L (corresponding author), Univ Manchester, Sch Mech Aerosp & Civil Engn, Manchester M13 9PL, Lancs, England.
EM l.collins@postgrad.manchester.ac.uk
RI Collins, Lisa/C-9562-2014
OI Natarajan, Sukumar/0000-0001-5831-1678
FU School of MACE, Manchester University
FX Author Lisa Collins was gratefully supported in this research by a
   School of MACE, Manchester University, scholarship.
CR [Anonymous], CLIM CHANG UK PROGR
   [Anonymous], 2008, BUILD LOW CARB EC UK
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], 2006, COLD COMFORT KYOTO C
   Biddle J, 2008, EXPLOR ECON HIST, V45, P402, DOI 10.1016/j.eeh.2008.02.004
   Chow DHC, 2005, THESIS U MANCHESTER
   de Wilde P, 2008, BUILD SERV ENG RES T, V29, P7, DOI 10.1177/0143624407087261
   *DEP ENV, POL BRIEF IMPR EN PE
   *EN SAV TRUST, CARB CUTT
   *ENV CHANG I, 2005, 40 HOUS PROJ BACKGR, P14
   GOUGH M, 2004, 1402001 ASHRAE
   Natarajan S, 2007, ENERG POLICY, V35, P5719, DOI 10.1016/j.enpol.2007.05.034
   *OXF U ENV CHANG I, 2005, 40 HOUS PROJ BACKGR
   SOCOLOW RH, 1978, ENERG BUILDINGS, V1, P207, DOI 10.1016/0378-7788(78)90003-8
   Summerfield AJ, 2007, ENERG BUILDINGS, V39, P783, DOI 10.1016/j.enbuild.2007.02.012
   UGLOW CE, 1989, BACKGROUND VENTILATI, P9
   2008, PREPARATORY STUDY EN, P19
   NATL DOMESTIC GAS EL
   2009, PREPARATORY STUDY EN, V47, pCH4
   2008, PREPARATORY STUDY EN, pCH2
NR 20
TC 46
Z9 51
U1 0
U2 19
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0143-6244
EI 1477-0849
J9 BUILD SERV ENG RES T
JI Build Serv. Eng. Res. Technol.
PD FEB
PY 2010
VL 31
IS 1
BP 75
EP 90
DI 10.1177/0143624409354972
PG 16
WC Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology
GA 561UO
UT WOS:000275005000006
DA 2025-01-10
ER

PT J
AU Bridges, A
   LoPresti, A
   Parris, A
   Horton, R
AF Bridges, Allison
   LoPresti, Anna
   Parris, Adam
   Horton, Radley
TI Advancing urban climate adaptation through knowledge exchange: A case
   study of New York City
SO URBAN CLIMATE
LA English
DT Article
DE Climate change; Adaptation; Resilience; Knowledge exchange; Communities
   of practice; Science usability
ID BOUNDARY ORGANIZATIONS; INFORMATION; SCIENCE; COPRODUCTION; SUPPORT;
   SERVICES; CHAINS; POLICY; USERS
AB Cities are experiencing increasingly extreme and longer-lasting hazards due to climate change. In response, urban decision-makers use climate assessments to inform their adaptation programs. To effectively inform planning, climate assessments must be responsive to community priorities and align with information needs. However, there are few empirical studies evaluating the coproduction and exchange of climate information within climate assessment processes. To address this gap, we evaluated the Climate Knowledge Exchange (CKE) piloted in 2020 by the Mayor's Office of Climate and Environmental Justice (then the Mayor's Office of Resiliency) in New York City. The CKE is an ongoing engagement process that asked: What are the research gaps and barriers to adaptation in New York City and how can we design inclusive approaches to knowledge exchange that advance equitable adaptation? To answer this question, we facilitated group discussions, distributed surveys, and reviewed adaptation plans to assess the state of climate knowledge. The findings indicate a need for contextually and culturally sensitive approaches to the co-development of actionable knowledge. Additionally, there is a need to reduce barriers to equitable adaptation and to advance the practice of climate-informed decision-making. Our findings advance understanding of the potential role of climate knowledge exchange in adaptation planning.
C1 [Bridges, Allison] Columbia Univ, Climate Sch, Sch Profess Studies, 2970 Broadway 203, New York, NY 10027 USA.
   [Bridges, Allison] Georgia Inst Technol, Scheller Coll Business, 800 W Peachtree St NW, Atlanta, GA 30332 USA.
   [LoPresti, Anna] Univ Colorado Boulder, Dept Ecol & Evolutionary Biol, 1900 Pleasant St, Boulder, CO 80302 USA.
   [Parris, Adam] ICF, 630 3rd Ave 11th Floor, New York, NY 10017 USA.
   [Horton, Radley] Columbia Univ, Climate Sch, Hogan Hall,2910 Broadway,Level A, New York, NY 10025 USA.
C3 Columbia University; University System of Georgia; Georgia Institute of
   Technology; University of Colorado System; University of Colorado
   Boulder; Columbia University
RP Bridges, A (corresponding author), Georgia Inst Technol, Scheller Coll Business, 800 W Peachtree St NW, Atlanta, GA 30332 USA.
EM allison.bridges@scheller.gatech.edu; Anna.Lopresti@colorado.edu;
   adam.parris@icf.com; rh142@columbia.edu
OI Bridges, Allison/0000-0002-0215-2804
FX We would like to express sincere gratitude to the many participants of
   the Climate Knowledge Exchange initiative who contributed their time and
   expertise to this collaboration despite the challenges of the COVID-19
   pandemic. Your valuable insights and contri-butions have been
   instrumental in deepening our understanding of climate knowledge
   networks and the barriers to equitable adaptation.
CR [Anonymous], 2019, Climate Resiliency Design Guidelines, Version 3.0
   [Anonymous], 2020, NYC Health, COVID-19: Data
   [Anonymous], 2019, 2019 Hazard Mitigation Plan
   [Anonymous], 2017, Cool Neighborhoods NYC: A Comprehensive Approach to Keep Communities Safe in Extreme Heat
   [Anonymous], 2021, New York City Stormwater Resiliency Plan
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Baztan J, 2020, CLIM RISK MANAG, V30, DOI 10.1016/j.crm.2020.100253
   Bremer S, 2019, CLIM SERV, V13, P42, DOI 10.1016/j.cliser.2019.01.003
   Briley L, 2015, CLIM RISK MANAG, V9, P41, DOI 10.1016/j.crm.2015.04.004
   Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry/ Geospatial Research Analysis and Services Program, 2020, CDC/ ATSDR Social Vulnerability Index. 2018 Database
   City of New York, 2022, State of Climate Knowledge 2022: Workshop SOary Report
   City of New York, 2016, NYC's Roadmap to 80X50
   Clar C, 2018, ENVIRON POLICY GOV, V28, P172, DOI 10.1002/eet.1802
   Climate Works for All, 2020, An Equitable Recovery for NYC
   Coen DR, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03181-2
   Dahl T.A., 2023, Fifth National Climate Assessment
   Daikeler J, 2020, J SURV STAT METHODOL, V8, P513, DOI 10.1093/jssam/smz008
   Daly M, 2021, NAT CLIM CHANGE, V11, P721, DOI 10.1038/s41558-021-01136-0
   Daly M, 2019, CLIMATIC CHANGE, V157, P61, DOI 10.1007/s10584-019-02510-w
   Dewulf A, 2020, CURR OPIN ENV SUST, V42, P1, DOI 10.1016/j.cosust.2019.10.003
   Diele-Viegas LM, 2021, NAT HUM BEHAV, V5, P672, DOI 10.1038/s41562-021-01104-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
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Fazey I, 2014, GLOBAL ENVIRON CHANG, V25, P204, DOI 10.1016/j.gloenvcha.2013.12.012
   Findlater K, 2021, NAT CLIM CHANGE, V11, P731, DOI 10.1038/s41558-021-01125-3
   Foster S, 2019, ANN NY ACAD SCI, V1439, P126, DOI 10.1111/nyas.14009
   Gamelon M, 2023, NAT CLIM CHANGE, V13, P985, DOI 10.1038/s41558-023-01760-y
   Goodrich KA, 2020, CURR OPIN ENV SUST, V42, P45, DOI 10.1016/j.cosust.2020.01.001
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Hasse C, 2019, CLIMATIC CHANGE, V153, P559, DOI 10.1007/s10584-018-2166-6
   Hoffmann E, 2020, CLIM CHANG MANAG, P105, DOI 10.1007/978-3-030-36875-3_7
   Hughes S, 2020, NAT CLIM CHANGE, V10, P1085, DOI 10.1038/s41558-020-00953-z
   Jacobs K.L., 2016, The US National Climate Assessment: innovations in science and engagement, DOI [10.1007/978-3-319-41802-5, DOI 10.1007/978-3-319-41802-5]
   Jebeile J, 2023, WIRES CLIM CHANGE, V14, DOI 10.1002/wcc.833
   Jones L, 2017, CLIM POLICY, V17, P551, DOI 10.1080/14693062.2016.1191008
   Kalafatis SE, 2019, WEATHER CLIM SOC, V11, P681, DOI 10.1175/WCAS-D-19-0002.1
   Kirchhoff CJ, 2015, CLIM RISK MANAG, V9, P20, DOI 10.1016/j.crm.2015.04.001
   Klenk N, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.475
   Knapp CN, 2013, GLOBAL ENVIRON CHANG, V23, P1296, DOI 10.1016/j.gloenvcha.2013.07.007
   Leichenko R, 2011, ANN NY ACAD SCI, V1244, P61
   Lemos MC, 2014, WEATHER CLIM SOC, V6, P273, DOI 10.1175/WCAS-D-13-00044.1
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   LoPresti R., 2020, Climate Needs Assessment for New York State, NYSERDA Report Number 20-31
   Mach KJ, 2017, ANNU REV ENV RESOUR, V42, P569, DOI 10.1146/annurev-environ-102016-061007
   Maldonado J, 2016, CLIMATIC CHANGE, V135, P111, DOI 10.1007/s10584-015-1535-7
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McDermott M, 2013, ENVIRON SCI POLICY, V33, P416, DOI 10.1016/j.envsci.2012.10.006
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Monroe MC, 2019, ENVIRON EDUC RES, V25, P791, DOI 10.1080/13504622.2017.1360842
   Moss RH, 2019, WEATHER CLIM SOC, V11, P465, DOI 10.1175/WCAS-D-18-0134.1
   Moss RH, 2013, SCIENCE, V342, P696, DOI 10.1126/science.1239569
   New York City Environmental Justice Alliance (NYC-EJA), 2020, NYC Climate Justice Agenda 2020/ A Critical Decade for Climate, Equity, & Health
   New York City Panel on Climate Change, 2010, ANN NY ACAD SCI, V1196, P1, DOI 10.1111/j.1749-6632.2009.05415.x
   New York City Panel on Climate Change (NPCC), 2019, Ann. N. Y. Acad. Sci., V2019, P11
   New York State, 2024, Homes and Community Renewal
   Nobles M, 2022, NATURE, V606, P225, DOI 10.1038/d41586-022-01527-z
   Orlove B, 2020, ANNU REV ENV RESOUR, V45, P271, DOI 10.1146/annurev-environ-012320-085130
   Owen G, 2019, CLIMATIC CHANGE, V157, P151, DOI 10.1007/s10584-019-02466-x
   Palutikof JP, 2019, CLIMATIC CHANGE, V153, P459, DOI 10.1007/s10584-019-02445-2
   Porter JJ, 2017, ENVIRON SCI POLICY, V77, P9, DOI 10.1016/j.envsci.2017.07.004
   Raaphorst K, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041512
   Reidmiller D. R., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, VII, DOI [DOI 10.7930/NCA4.2018, 10.7930/NCA4.2018]
   Rise to Resilience, 2020, Every Neighborhood: A Comprehensive Resilience Strategy for NYC
   Rosenzweig C, 2015, ANN NY ACAD SCI, V1336, P1, DOI 10.1111/nyas.12626
   Rosenzweig C, 2011, ANN NY ACAD SCI, V1244, P1
   Rosenzweig C., 2018, CLIMATE CHANGE CITIE, DOI DOI 10.1017/9781316563878
   Rosenzweig C., 2019, Ann. N. Y. Acad. Sci., V1439, P1
   Schwaller NL, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03055-7
   Siders AR, 2021, CURR OPIN ENV SUST, V52, P1, DOI 10.1016/j.cosust.2021.03.017
   Siders AR, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.573
   Sobel AH, 2021, CLIMATIC CHANGE, V166, DOI 10.1007/s10584-021-03108-x
   Stevens A., 2024, New York State Climate Impacts Assessment: Understanding and Preparing for Our Changing Climate
   Termeer CJAM, 2016, LANDSCAPE URBAN PLAN, V154, P11, DOI 10.1016/j.landurbplan.2016.01.007
   WE ACT for Environmental Justice, 2020, Extreme Heat Policy Agenda, P2020
   WE ACT for Environmental Justice, 2019, 2019 Policy Agenda Campaigns & Initiatives
   Williams C, 2015, NAT CLIM CHANGE, V5, P82, DOI 10.1038/nclimate2476
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 78
TC 0
Z9 0
U1 3
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2024
VL 57
AR 102100
DI 10.1016/j.uclim.2024.102100
EA AUG 2024
PG 21
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA E7A6I
UT WOS:001304498800001
DA 2025-01-10
ER

PT J
AU Vallati, A
   Di Matteo, M
   Sundararajan, M
   Muzi, F
   Fiorini, CV
AF Vallati, Andrea
   Di Matteo, Miriam
   Sundararajan, Mukund
   Muzi, Francesco
   Fiorini, Costanza Vittoria
TI Development and optimization of an energy saving strategy for social
   housing applications by water source-heat pump integrating
   photovoltaic-thermal panels
SO ENERGY
LA English
DT Article
DE Renewable energy; Photovoltaic-thermal collectors; Building energy
   efficiency; Social housing; Dynamic simulation; Experimental validation
ID AIR-SOURCE; SYSTEM; PERFORMANCE; HYBRID; FEASIBILITY; SIMULATION
AB Residential buildings account for 84 % of Italy ' s built environment, playing a pivotal role in the EU ' s aim to cut GHG emissions by 55 % through enhanced energy efficiency and climate adaptation. This necessitates comprehensive energy retrofit initiatives, especially in sectors like social housing, which has been relatively overlooked in terms of energy efficiency strategies. This study focuses on a multi -story building from the 1980s in Rome, implementing an innovative energy system proposed by the RESHeat European project. This system, aimed at standardizing energy retrofits for late 20th -century social housing, leverages the underexplored potential of water -source heat pump (WSHP) systems. The novelty of this research extends to its examination of multi -family housing, a sector that has seen less attention compared to public spaces and smaller residential buildings. Through experimental validation and annual dynamic simulations using TRNSYS and Simulink, the research compares the existing heating system with a proposed upgrade that includes a WSHP and PhotovoltaicThermal (PVT) panels. This upgrade demonstrated a significant efficiency improvement, achieving an annual COP of 6.1 for the WSHP and a 36 % Primary Energy Savings (PES) from the PVT panels, showcasing the effectiveness of these technologies in enhancing the energy profile of multi -family residential buildings.
C1 [Vallati, Andrea; Di Matteo, Miriam; Muzi, Francesco; Fiorini, Costanza Vittoria] Sapienza Univ Rome, DIAEE Dept Astronaut Elect & Energy Engn, Via Eudossiana 18, I-00184 Rome, Italy.
   [Sundararajan, Mukund] Bharath Inst Higher Educ & Res, Chennai, India.
C3 Sapienza University Rome; Bharath Institute of Higher Education &
   Research
RP Fiorini, CV (corresponding author), Sapienza Univ Rome, DIAEE Dept Astronaut Elect & Energy Engn, Via Eudossiana 18, I-00184 Rome, Italy.
EM costanzavittoria.fiorini@uniroma1.it
RI Muzi, Francesco/HJH-5911-2023; Fiorini, Costanza Vittoria/HKW-2804-2023
OI MUZI, FRANCESCO/0000-0002-3247-1515; Di Matteo,
   Miriam/0000-0003-0251-1181; Vallati, Andrea/0000-0003-1016-5813
FU European Commission; European Union [956255]
FX <B>Acknowledgements</B> The research was supported by European
   Commission and is a part of the HORIZON 2020 project RESHeat. This
   project received funding from the European Union's Horizon 2020 program
   in the field of research and innovation on the basis of grant agreement
   No. 956255.
CR Abdulla H, 2024, RENEW SUST ENERG REV, V195, DOI 10.1016/j.rser.2024.114342
   Annibaldi V, 2020, J CLEAN PROD, V251, DOI 10.1016/j.jclepro.2019.119516
   [Anonymous], 2021, ISO 9869-1
   [Anonymous], RESHeat-Renewable Energy System For Residential Building Heating And Electricity Production
   [Anonymous], 2012, multizone building modeling with type 56 and TRNBuild. Version 17.1, solar energy laboratory, V5
   [Anonymous], 2018, UNI TS 11300-2
   [Anonymous], 2023, Grant agreement number 956255
   [Anonymous], 2023, EU agenda
   [Anonymous], 1993, D.P.R412/93-Decreto del Presidente della Repubblica del 26 agosto, P412
   [Anonymous], Meteoblue weather archive
   [Anonymous], 2017, ISO 6946:2017-Building components and building elements-Thermal resistance and thermal transmittance
   [Anonymous], 2014, UNI TS 9182
   [Anonymous], 2021, UNI 10351
   ARER, 2024, Energies
   ARERA, about us
   Bagarella G, 2013, INT J REFRIG, V36, P2111, DOI 10.1016/j.ijrefrig.2013.07.020
   Bakirci K, 2011, ENERGY, V36, P3224, DOI 10.1016/j.energy.2011.03.011
   Bergamini R, 2019, ENERGY, V182, P110, DOI 10.1016/j.energy.2019.05.187
   Bisengimana E, 2023, SOL ENERGY, V249, P507, DOI 10.1016/j.solener.2022.12.005
   Bordignon S, 2024, RENEW ENERG, V220, DOI 10.1016/j.renene.2023.119701
   Calise F, 2022, SUSTAIN CITIES SOC, V76, DOI 10.1016/j.scs.2021.103438
   Chang SS, 2023, APPL THERM ENG, V222, DOI 10.1016/j.applthermaleng.2022.119845
   Chaturvedi SK, 2014, ENERG CONVERS MANAGE, V77, P550, DOI 10.1016/j.enconman.2013.09.050
   Chow TT, 2010, APPL ENERG, V87, P365, DOI 10.1016/j.apenergy.2009.06.037
   Clauss J, 2019, APPL ENERG, V237, P500, DOI 10.1016/j.apenergy.2018.12.074
   Corberán JM, 2018, INT J LOW-CARBON TEC, V13, P161, DOI 10.1093/ijlct/cty008
   Dai NN, 2017, APPL SCI-BASEL, V7, DOI 10.3390/app7020197
   Dannemand M, 2020, ENERG CONVERS MANAGE, V206, DOI 10.1016/j.enconman.2019.112429
   Del Amo A, 2020, ENERG BUILDINGS, V226, DOI 10.1016/j.enbuild.2020.110373
   Dermentzis G, 2021, J BUILD ENG, V43, DOI 10.1016/j.jobe.2021.103199
   Desideri U, 2011, APPL THERM ENG, V31, P3500, DOI 10.1016/j.applthermaleng.2011.07.003
   European Commission, 2018, The European Green Deal COM (2019) 640 final, DOI [10.2833/9937, DOI 10.2833/9937]
   European Commission, 2021, JRC Science for Policy Report
   Fang GY, 2010, EXP THERM FLUID SCI, V34, P736, DOI 10.1016/j.expthermflusci.2010.01.002
   Federation of European Heating. Ventilation and air conditioning associations, 2023, REHVA report 8-2023
   Franzoi N, 2021, ENERGIES, V14, DOI 10.3390/en14144165
   Gaglia AG, 2019, ENERG BUILDINGS, V183, P86, DOI 10.1016/j.enbuild.2018.10.042
   Galatioto A, 2017, ENERGY, V137, P991, DOI 10.1016/j.energy.2016.12.103
   Han ZW, 2017, APPL THERM ENG, V116, P292, DOI 10.1016/j.applthermaleng.2017.01.057
   Hernández H, 2023, ENERGY SUSTAIN DEV, V77, DOI 10.1016/j.esd.2023.101347
   Hernandez-Cruz P, 2023, ENERG BUILDINGS, V298, DOI 10.1016/j.enbuild.2023.113534
   Huang CY, 2023, ENERG CONVERS MANAGE, V287, DOI 10.1016/j.enconman.2023.117032
   ISPRA, 2022, Indicatori di efficienza e decarbonizzazione del sistema energetico nazionale e del settore elettrico, P363
   Jelic M, 2023, RENEW SUST ENERG REV, V188, DOI 10.1016/j.rser.2023.113871
   Ji J, 2008, SOL ENERGY, V82, P43, DOI 10.1016/j.solener.2007.04.006
   Jonas D, 2019, SOL ENERGY, V193, P51, DOI 10.1016/j.solener.2019.09.047
   Kampelis N, 2017, ENERG BUILDINGS, V148, P58, DOI 10.1016/j.enbuild.2017.03.057
   Kuczynski W, 2023, RENEW SUST ENERG REV, V174, DOI 10.1016/j.rser.2022.113138
   Latorre-Biel JI, 2018, BUILD ENVIRON, V141, P193, DOI 10.1016/j.buildenv.2018.05.060
   Lazzarin R, 2020, ENERG BUILDINGS, V211, DOI 10.1016/j.enbuild.2020.109800
   Li T, 2024, APPL THERM ENG, V240, DOI 10.1016/j.applthermaleng.2023.122265
   Li ZP, 2019, ENERGY, V178, P471, DOI 10.1016/j.energy.2019.04.166
   Liu L, 2024, J CLEAN PROD, V434, DOI 10.1016/j.jclepro.2023.139730
   Luo J, 2020, ENERG BUILDINGS, V223, DOI 10.1016/j.enbuild.2020.110214
   Ma Yicheng, 2023, Chemosphere, V338, P139453, DOI 10.1016/j.chemosphere.2023.139453
   Calama-González CM, 2022, ENERG BUILDINGS, V259, DOI 10.1016/j.enbuild.2022.111915
   Martorana F, 2021, SOL ENERGY, V217, P113, DOI 10.1016/j.solener.2021.01.020
   Masson-DelmotteP V, 2018, An IPCC Special Report on the impacts of global warming of, 1.5
   Mauri L, 2019, J CLEAN PROD, V214, P791, DOI 10.1016/j.jclepro.2018.12.320
   Mauro AW, 2023, CASE STUD THERM ENG, V45, DOI 10.1016/j.csite.2023.103010
   Nasouri M, 2021, J BUILD ENG, V42, DOI 10.1016/j.jobe.2021.103053
   Nazari MA, 2023, ENERGY SUSTAIN DEV, V72, P230, DOI 10.1016/j.esd.2022.12.018
   Nouri G, 2019, APPL THERM ENG, V163, DOI 10.1016/j.applthermaleng.2019.114351
   Obalanlege MA, 2022, RENEW ENERG, V196, P720, DOI 10.1016/j.renene.2022.07.044
   Oclon P, 2021, ENERGIES, V14, DOI 10.3390/en14165137
   Oilon, 2022, Installation and operation manual RE 28-48, RE 56-96
   Ostergaard PA, 2018, ENERGY, V155, P921, DOI 10.1016/j.energy.2018.05.076
   Pardo N, 2010, APPL THERM ENG, V30, P1073, DOI 10.1016/j.applthermaleng.2010.01.015
   Pelella Francesco, 2023, APPLIED ENERGY, V331, DOI [10.1016/j.apenergy.2022.120398, DOI 10.1016/J.APENERGY.2022.120398]
   Perera ATD, 2019, ENRGY PROCED, V159, P358, DOI 10.1016/j.egypro.2019.01.002
   Pintanel MT, 2022, APPL THERM ENG, V213, DOI 10.1016/j.applthermaleng.2022.118662
   Piras G, 2024, ENERGIES, V17, DOI 10.3390/en17020436
   Qiu GD, 2023, APPL ENERG, V349, DOI 10.1016/j.apenergy.2023.121698
   Qu ML, 2022, RENEW ENERG, V194, P1084, DOI 10.1016/j.renene.2022.06.010
   Ramos A, 2017, ENERG CONVERS MANAGE, V150, P838, DOI 10.1016/j.enconman.2017.03.024
   Romanchenko D, 2021, SUSTAIN CITIES SOC, V64, DOI 10.1016/j.scs.2020.102510
   Sarbu I, 2014, ENERG BUILDINGS, V70, P441, DOI 10.1016/j.enbuild.2013.11.068
   Schreurs T, 2021, ENERGY STRATEG REV, V36, DOI 10.1016/j.esr.2021.100666
   Shin HH, 2024, ENERGY, V288, DOI 10.1016/j.energy.2023.129700
   Si Q, 2014, ENERG BUILDINGS, V70, P237, DOI 10.1016/j.enbuild.2013.11.065
   Sun V, 2020, ENERGY REP, V6, P1029, DOI 10.1016/j.egyr.2020.04.026
   Todorov O, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101977
   Treichel C, 2021, ENERG BUILDINGS, V231, DOI 10.1016/j.enbuild.2020.110594
   Trillat-Berdal V, 2006, ENERG BUILDINGS, V38, P1477, DOI 10.1016/j.enbuild.2006.04.005
   Vallati A, 2023, ENERG BUILDINGS, V282, DOI 10.1016/j.enbuild.2023.112771
   Vallati A, 2019, ENERGY, V174, P91, DOI 10.1016/j.energy.2019.02.152
   Vallati A, 2023, J Phys Conf, V2600, DOI [10.1088/1742-6596/2600/8/082030.2600, DOI 10.1088/1742-6596/2600/8/082030.2600]
   Vittorio Bearzi, 1999, Tecniche nuove, Vsecond
   Vollaro ADL, 2015, J PHYS CONF SER, V655, DOI 10.1088/1742-6596/655/1/012056
   Wan LT, 2024, SOL ENERGY, V268, DOI 10.1016/j.solener.2023.112300
   Wang Q, 2022, RENEW ENERG, V196, P1406, DOI 10.1016/j.renene.2022.07.072
   Wang YB, 2022, APPL ENERG, V324, DOI 10.1016/j.apenergy.2022.119706
   Yu S, 2024, J ENERGY STORAGE, V80, DOI 10.1016/j.est.2023.110375
   Zanetti E, 2023, APPL THERM ENG, V233, DOI 10.1016/j.applthermaleng.2023.121165
   Zenhausern D, 2020, Key Performance Indicators for PVT Systems, DOI [10.18777/ieashc-task60-2020-0007, DOI 10.18777/IEASHC-TASK60-2020-0007]
   Zhou F, 2023, ENERG CONVERS MANAGE, V296, DOI 10.1016/j.enconman.2023.117679
   Zhou J.Z., 2020, ENERGY BUILT ENV, V1, P50
   Zisopoulos G, 2021, J ENERGY STORAGE, V41, DOI 10.1016/j.est.2021.102870
NR 98
TC 5
Z9 5
U1 3
U2 3
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-5442
EI 1873-6785
J9 ENERGY
JI Energy
PD AUG 15
PY 2024
VL 301
AR 131531
DI 10.1016/j.energy.2024.131531
EA MAY 2024
PG 24
WC Thermodynamics; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels
GA UA0X5
UT WOS:001245236100002
OA hybrid
DA 2025-01-10
ER

PT J
AU Montero-Gutiérrez, P
   Amores, TP
   Delgado, MG
   Félix, JLM
   Ramos, JS
   Domínguez, SA
AF Montero-Gutierrez, Paz
   Amores, Teresa Palomo
   Delgado, MCarmen Guerrero
   Felix, Jose Luis Molina
   Ramos, Jose Sanchez
   Dominguez, Servando Alvarez
TI Improving urban resilience and habitability by an effective regeneration
   of the streets: A comprehensive approach step-by-step validated in a
   real case
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Urban resilience; Urban regeneration; Climate adaption; Urban thermal
   comfort index; Urban heat island; Anthropogenic heat
ID HEAT-ISLAND; THERMAL COMFORT; MODEL; STRESS; DESIGN
AB The world ' s average temperature has increased by 1 degrees C, leading to more frequent and intense extreme weather events. Attention has turned to the Urban Heat Island (UHI), a warming phenomenon in cities resulting from human activities and the urban design. In this way, urban adaptation of streets and the development of new urban spaces focus on achieving thermal comfort. While the research community proposed surface energy balances (SEB), a limitation arises from SEB ' s ability to identify UHI due to its exclusion of anthropogenic heat. This study highlights the need to address anthropogenic variables and the importance of continuous monitoring in urban areas undergoing adaptation. A calculation method called co -simulation is suggested to incorporate anthropogenic heat using ENVI-met software as the basis. Adaptation justification involves monitoring and assessing the COMFA comfort index in an avenue. The calculation process proposes improvements for a comfortable environment, evaluating the microclimate impact on urban adaptation. Implementation, ongoing monitoring, and a comprehensive sensitivity analysis of the COMFA comfort index ensure a 60% improvement in the thermal sensation from June to September. This approach promotes the adoption of innovative solutions for climate change, emphasizing energy efficiency and well-being in urban spaces.
C1 [Montero-Gutierrez, Paz; Amores, Teresa Palomo; Delgado, MCarmen Guerrero; Felix, Jose Luis Molina; Ramos, Jose Sanchez; Dominguez, Servando Alvarez] Univ Seville, Escuela Super Ingn, Grp Termotecnia, Camino Descubrimientos S-N, Seville 41092, Spain.
C3 University of Sevilla
RP Delgado, MG (corresponding author), Univ Seville, Escuela Super Ingn, Grp Termotecnia, Camino Descubrimientos S-N, Seville 41092, Spain.
EM mmontero1@us.es; tpalomo@us.es; mgdelgado@us.es; jlmolina@us.es;
   jsr@us.es; salvarez@us.es
RI Palomo, Teresa/AAP-7169-2021; Sánchez Ramos, José/G-1941-2010;
   Montero-Gutierrez, Paz/KZU-0745-2024
OI Montero Gutierrez, Paz/0000-0002-4587-3310; Palomo Amores, Teresa
   Rocio/0000-0003-4513-9826
FU CONSTANCY-Resilient urbanisation methodologies and natural conditioning
   using imaginative nature-based solutions and cultural heritage to
   recover the street life" [PID2020-118972RB-I00]; Spanish Ministry of
   Science and Innovation [TED2021-130416B-I00]
FX This study has been funded by the projects "CONSTANCY-Resilient
   urbanisation methodologies and natural conditioning using imaginative
   nature-based solutions and cultural heritage to recover the street life"
   (Grant Agreement PID2020-118972RB-I00) and the project
   "NATUR-BEAM-Lighting the way to a greener future to restore urban
   habitability through nature-based solutions" (Grant Agreement
   TED2021-130416B-I00) by the Spanish Ministry of Science and Innovation.
CR Abd Elraouf R, 2022, J BUILD PERFORM SIMU, V15, P268, DOI 10.1080/19401493.2022.2046165
   Agencia Estatal de Meteorologia (AEMET), 2023, Avance climatico Nacional del verano de 2023.
   Agencia Estatal de Meterologia (AEMET), 2023, Olas de calor en Espana desde 1975.
   Amores TRP, 2023, URBAN FOR URBAN GREE, V82, DOI 10.1016/j.ufug.2023.127886
   Angelotti A., 2007, 2 PALENC C, V1, P65
   [Anonymous], 2017, Ergonomics of the Thermal Environment, Assessment of Heat Stress Using the WBGT Index
   [Anonymous], 2005, ERGONOMICS THERMAL E
   [Anonymous], 2017, ASHRAE STANDARD 55 2
   Arnfield AJ, 1998, ENERG BUILDINGS, V27, P61, DOI 10.1016/S0378-7788(97)00026-1
   BROWN RD, 1986, INT J BIOMETEOROL, V30, P43, DOI 10.1007/BF02192058
   Cedar Lake Ventures, Weather Sparks.
   Chatzidimitriou A, 2017, SUSTAIN CITIES SOC, V33, P85, DOI 10.1016/j.scs.2017.05.019
   Chow WTL, 2014, ATMOS ENVIRON, V99, P64, DOI 10.1016/j.atmosenv.2014.09.053
   Deng JY, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101966
   Departamento de Ingenieria Energetica y Mecanica de Fluidos (Universidad de Sevilla), 1994, Control climatico en espacios abiertos: evaluacion del proyecto Expo'92
   ENVI-met GmbH, ENVi-Met Software.
   Epstein Y, 2006, IND HEALTH, V44, P388, DOI 10.2486/indhealth.44.388
   Gaitani N, 2007, BUILD ENVIRON, V42, P317, DOI 10.1016/j.buildenv.2005.08.018
   Ito N., 1972, Build. Eng, V78
   Karakounos I, 2018, ENERG BUILDINGS, V158, P1266, DOI 10.1016/j.enbuild.2017.11.035
   Kenny NA, 2009, INT J BIOMETEOROL, V53, P429, DOI 10.1007/s00484-009-0227-2
   Kenny NA, 2009, INT J BIOMETEOROL, V53, P415, DOI 10.1007/s00484-009-0226-3
   Kim SW, 2023, RENEW SUST ENERG REV, V184, DOI 10.1016/j.rser.2023.113598
   KoboToolBox.org, about us
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Malakooti H., 2010, Meteorology Ecole Des Ponts ParisTech
   Motie MB, 2023, APPL GEOGR, V151, DOI 10.1016/j.apgeog.2022.102861
   Nakata-Osaki CM, 2018, COMPUT ENVIRON URBAN, V67, P157, DOI 10.1016/j.compenvurbsys.2017.09.007
   OKE TR, 1981, J CLIMATOL, V1, P237, DOI 10.1002/joc.3370010304
   OKE TR, 1973, ATMOS ENVIRON, V7, P769, DOI 10.1016/0004-6981(73)90140-6
   OKE TR, 1988, PROG PHYS GEOG, V12, P471, DOI 10.1177/030913338801200401
   OMEGA, 2024, Compact portable USB data loggers
   Pearlmutter D, 2014, INT J BIOMETEOROL, V58, P2111, DOI 10.1007/s00484-014-0812-x
   Rodriguez MV, 2023, ENERG BUILDINGS, V298, DOI 10.1016/j.enbuild.2023.113525
   Rodríguez LR, 2020, SUSTAIN CITIES SOC, V55, DOI 10.1016/j.scs.2020.102027
   Rupp RF, 2015, ENERG BUILDINGS, V105, P178, DOI 10.1016/j.enbuild.2015.07.047
   Ryu YH, 2011, J APPL METEOROL CLIM, V50, P1773, DOI 10.1175/2011JAMC2665.1
   Salata F, 2015, ENERG BUILDINGS, V99, P32, DOI 10.1016/j.enbuild.2015.04.010
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Standard ISO, 2004, ISO 7933:2004 Ergonomics of the Thermal Environment - Analytical Determination and Interpretation of Heat Stress Using Calculation of the Predicted Heat Strain
   Vanos JK, 2012, INT J BIOMETEOROL, V56, P21, DOI 10.1007/s00484-010-0393-2
   Wang YP, 2016, ENERG BUILDINGS, V114, P2, DOI 10.1016/j.enbuild.2015.06.046
   World Meteorological Organization, 2023, WMO Annual Report Highlights Continuous Advance of Climate Change
   Yang SW, 2023, BUILD ENVIRON, V283, DOI 10.1016/j.buildenv.2023.110334
NR 44
TC 0
Z9 0
U1 8
U2 13
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 MAY 15
PY 2024
VL 256
AR 111471
DI 10.1016/j.buildenv.2024.111471
EA APR 2024
PG 19
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA RS6N3
UT WOS:001229690300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Siano, AB
   Roskruge, N
   Kerckhoffs, H
   Sofkova-Bobcheva, S
AF Siano, Allan Banasihan
   Roskruge, Nick
   Kerckhoffs, Huub
   Sofkova-Bobcheva, Svetla
TI Effects of Abiotic Stress Associated with Climate Change on Potato Yield
   and Tuber Quality Under a Multi-environment Trial in New Zealand
SO POTATO RESEARCH
LA English
DT Article
DE Climate adaptation; Drought stress; Genotype; Heat stress; Marketable
   tuber yield; Physiological disorders
ID WATER-USE EFFICIENCY; HIGH-TEMPERATURE; STATISTICAL-ANALYSIS; GROWTH;
   HEAT; RESPONSES; DROUGHT; CULTIVAR; IMPACT; PLANT
AB In the 2018/19 growing season, a multi-environment trial in Opiki, Hastings, and Ohakune located in three different regions of the North Island of New Zealand was conducted to evaluate responses of selected potato cultivars to abiotic stress associated with climate change. Heat and drought stresses were evident with supra-optimal temperatures (> 25degree celsius) in Opiki and Hastings and sub-optimal rainfall (< 500 mm) in Opiki, which influenced the different morpho-physiological characteristics of the potato crop, ultimately affecting yield and tuber quality. These abiotic stresses also increased the incidence of malformation, growth cracks, and second growth in tubers reducing the total and marketable tuber yields by 43% and 45%, respectively. In addition, the genotype x environment analysis showed that Ohakune had the most favourable environmental conditions for potato production since all cultivars in this site had superior marketable tuber yields. 'Taurus' was the most stable and adaptable cultivar across trial sites (wide adaptation), whilst 'Hermes' and 'Snowden' were more adapted under Opiki and Hastings conditions (specific adaptation), respectively. As established in this study, heat and drought stresses have significant effects on the morpho-physiology, yield, and tuber quality of commercial potato cultivars in New Zealand.
C1 [Siano, Allan Banasihan; Roskruge, Nick; Kerckhoffs, Huub; Sofkova-Bobcheva, Svetla] Massey Univ, Sch Agr & Environm, Palmerston North, New Zealand.
   [Siano, Allan Banasihan] Philippine Council Agr Aquat Nat Resources Res & D, Laguna, Philippines.
C3 Massey University
RP Siano, AB (corresponding author), Massey Univ, Sch Agr & Environm, Palmerston North, New Zealand.; Siano, AB (corresponding author), Philippine Council Agr Aquat Nat Resources Res & D, Laguna, Philippines.
EM allanbsiano@gmail.com
OI Siano, Allan Banasihan/0009-0002-4235-9516
FU Massey University
FX The authors would like to thank grower partners Mike Moleta of Freshpik
   Farms, Scott Lawson of True Earth Farm, and Keith Watson and Bryan Hart
   of Wilcox for providing farm inputs and land for the trials. Alex
   McDonald Ltd. and Eurogrow Ltd. are also acknowledged for providing the
   seed potatoes. The authors thank Professor Isaac Adeneyika for the
   statistical analysis.
CR Acquaah G., 2012, Principles of plant genetics and breeding, VSecond, P385, DOI DOI 10.1002/9781118313718
   Aliche EB, 2020, PLANT PHYSIOL BIOCH, V146, P211, DOI 10.1016/j.plaphy.2019.11.019
   Aliche EB, 2018, AGR WATER MANAGE, V206, P20, DOI 10.1016/j.agwat.2018.04.013
   Amjad A, 2016, J CHEM SOC PAK, V38
   Anderson JAD, 1997, NEW ZEAL J CROP HORT, V25, P303, DOI 10.1080/01140671.1997.9514020
   Baritelle AL, 2003, POSTHARVEST BIOL TEC, V29, P279, DOI 10.1016/S0925-5214(03)00003-6
   BURTON WG, 1981, AM POTATO J, V58, P3, DOI 10.1007/BF02855376
   Canadian Food Inspection Agency, 2020, POTATO VARIETIESSNOW
   CIP, 2013, PROTOCOL DESIGNING C
   Crossa J., 1990, Advances in Agronomy, V44, P55, DOI 10.1016/S0065-2113(08)60818-4
   CROSSA J, 1991, THEOR APPL GENET, V81, P27, DOI 10.1007/BF00226108
   FAO, 2021, FAOSTAT STAT DAT
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   GAUCH HG, 1988, THEOR APPL GENET, V76, P1, DOI 10.1007/BF00288824
   GAWRONSKA H, 1992, AM POTATO J, V69, P653, DOI 10.1007/BF02852678
   Ghosh Subhash Chandra, 2000, Environment Control in Biology, V38, P197
   Haase N.U., 2004, Potato Research, V46, P117, DOI DOI 10.1007/BF02736081
   HAMMES PS, 1990, POTATO RES, V33, P515, DOI 10.1007/BF02358030
   Hancock RD, 2014, PLANT CELL ENVIRON, V37, P439, DOI 10.1111/pce.12168
   Hastilestari BR, 2018, PLANT CELL ENVIRON, V41, P2600, DOI 10.1111/pce.13366
   Hijmans RJ, 2003, AM J POTATO RES, V80, P271, DOI 10.1007/BF02855363
   Hiller L. K., 1985, Potato physiology, P389
   Hillerm LK., 2008, POTATO HLTH MANAGEME
   Hongyu K., 2014, Biometr Lett, V51, P89, DOI [10.2478/bile-2014-0007, DOI 10.2478/BILE-2014-0007]
   da Silveira LCI, 2013, SCI AGR, V70, P27, DOI 10.1590/S0103-90162013000100005
   JEFFERIES RA, 1993, NEW PHYTOL, V123, P491, DOI 10.1111/j.1469-8137.1993.tb03761.x
   Kalbarczyk R., 2004, ACTA AGROPHYSICA, V4, P339
   KEMPTON RA, 1984, J AGR SCI-CAMBRIDGE, V103, P123, DOI 10.1017/S0021859600043392
   LAFTA AM, 1995, PLANT PHYSIOL, V109, P637, DOI 10.1104/pp.109.2.637
   Lahlou O, 2003, AGRONOMIE, V23, P257, DOI 10.1051/agro:2002089
   Landcare Research, 2020, SOILS PORTAL
   LEVY D, 1991, THEOR APPL GENET, V82, P130, DOI 10.1007/BF00226203
   Li JianHui Li JianHui, 2017, Journal of the Saudi Society of Agricultural Sciences, V16, P82, DOI 10.1016/j.jssas.2015.03.001
   Lugt C., 1964, European Potato Journal, V7, P219, DOI 10.1007/BF02368253
   MACKERRON DKL, 1985, POTATO RES, V28, P279, DOI 10.1007/BF02357582
   MARTIN RJ, 1992, NEW ZEAL J CROP HORT, V20, P1
   McLeod C. C., 1973, Proceedings of the Agronomy Society of New Zealand, V3, P69
   Merfield CN, 2015, NEW ZEAL J CROP HORT, V43, P123, DOI 10.1080/01140671.2015.1015576
   New Zealand Agricultural Greenhouse Gas Research Centre, 2012, IMPACTS GLOBAL CLIMA
   NIWA, 2020, SUMMER 2018 19
   Ohashi Y, 2009, ACTA PHYSIOL PLANT, V31, P271, DOI 10.1007/s11738-008-0229-4
   Paget MF, 2014, EUPHYTICA, V197, P369, DOI 10.1007/s10681-014-1073-9
   Potato Association of America, 2020, VARIETIES SNOWDEN
   Potatoes New Zealand, 2022, POT NZ INC AGM PAP A
   R Core Team, 2017, R LANG ENV STAT COMP
   Ramírez DA, 2014, SCI HORTIC-AMSTERDAM, V168, P202, DOI 10.1016/j.scienta.2014.01.036
   REYNOLDS MP, 1990, PLANT PHYSIOL, V93, P791, DOI 10.1104/pp.93.2.791
   Rykaczewska K, 2017, PLANT SOIL ENVIRON, V63, P40, DOI [10.17221/691/2016-PSE, 10.17221/691/2016-pse]
   Rykaczewska K, 2015, AM J POTATO RES, V92, P339, DOI 10.1007/s12230-015-9436-x
   Salinger MJ, 2020, CLIMATIC CHANGE, V162, P485, DOI 10.1007/s10584-020-02730-5
   Shahnazari A, 2007, FIELD CROP RES, V100, P117, DOI 10.1016/j.fcr.2006.05.010
   SHOCK CC, 1992, AM POTATO J, V69, P793, DOI 10.1007/BF02854186
   Siano A. B., 2018, Agronomy New Zealand, V48, P149
   Tang RM, 2018, BOTANY, V96, P897, DOI 10.1139/cjb-2018-0125
   Trawczynski C., 2009, INFRAST EKOL TER WIE, V3, P55
   VANLOON CD, 1981, AM POTATO J, V58, P51, DOI 10.1007/BF02855380
   WOLF S, 1990, ANN BOT-LONDON, V65, P179, DOI 10.1093/oxfordjournals.aob.a087922
   Xiao GJ, 2013, AGR WATER MANAGE, V127, P119, DOI 10.1016/j.agwat.2013.06.004
   ZOBEL RW, 1988, AGRON J, V80, P388, DOI 10.2134/agronj1988.00021962008000030002x
NR 59
TC 3
Z9 3
U1 1
U2 3
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0014-3065
EI 1871-4528
J9 POTATO RES
JI Potato Res.
PD DEC
PY 2024
VL 67
IS 4
BP 1603
EP 1624
DI 10.1007/s11540-024-09695-3
EA MAR 2024
PG 22
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA K9X5E
UT WOS:001176706500001
OA Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Adams, C
   Frantzeskaki, N
   Moglia, M
AF Adams, Clare
   Frantzeskaki, Niki
   Moglia, Magnus
TI Space for mainstreaming? Learning from the implementation of urban
   forest strategies in metropolitan Melbourne
SO AUSTRALIAN PLANNER
LA English
DT Article
DE governance; nature-based solutions; climate adaptation; green
   infrastructure; urban resilience; sustainability transitions
ID DECISION-MAKING; GOVERNANCE; TRANSITIONS; TRAJECTORIES; FRAMEWORK;
   AGENCY
AB Australia is experiencing an accelerated rate of climate-related extreme weather events, and many of the solutions to reduce the exposure to climate-risk are nature-based, governing urban forests, waterways, and stormwater. However, the governance of nature-based solutions in Australian cities is still fragmented and piecemeal, generally lacking a coherent narrative and widespread support. What is needed are institutional spaces that mainstream such solutions. In this paper, we draw on a case study of urban forestry implementation across metropolitan Melbourne, as a lens to examine the creation and evolution of such institutional spaces. We explain the functions and design characteristics of institutional spaces from the perspective of the requirements for establishing and maintaining institutional spaces and what is produced or the outcomes from institutional spaces. The mobilisation and evolution of institutional spaces are important to understand for the impact on the planning and governance of individual cities as well as the metropolitan region. Our key findings frame institutional spaces as relational, learning-oriented, collaborative, and empowering spaces that facilitate transformative agendas and actions for the mainstreaming of nature-based solutions in cities. From these findings, we identify seven recommendations for how practitioners can make the most of institutional spaces.
C1 [Adams, Clare; Moglia, Magnus] Swinburne Univ Technol, Ctr Urban Transit, Melbourne, Australia.
   [Frantzeskaki, Niki] Univ Utrecht, Fac Geosci, Human Geog & Spatial Planning, Utrecht, Netherlands.
C3 Swinburne University of Technology; Utrecht University
RP Adams, C (corresponding author), Swinburne Univ Technol, Ctr Urban Transit, Melbourne, Australia.
EM cladams@swin.edu.au
RI Frantzeskaki, Niki/AAN-1044-2021; Moglia, Magnus/C-8575-2011
OI Frantzeskaki, Niki/0000-0002-6983-448X; Moglia,
   Magnus/0000-0002-8290-610X; Adams, Clare/0000-0001-8318-7664
FU Australian Government Research Training Program Scholarship; Swinburne
   University Postgraduate Research Award
FX This research has received support through an Australian Government
   Research Training Program Scholarship and a Swinburne University
   Postgraduate Research Award.
CR Adams C, 2023, LAND USE POLICY, V130, DOI 10.1016/j.landusepol.2023.106661
   [Anonymous], 1983, Urban Policy and Research, DOI DOI 10.1080/08111148308522661
   Atmis E, 2016, URBAN FOR URBAN GREE, V19, P158, DOI 10.1016/j.ufug.2016.06.018
   Buijs A, 2019, URBAN FOR URBAN GREE, V40, P53, DOI 10.1016/j.ufug.2018.06.011
   Buijs AE, 2016, CURR OPIN ENV SUST, V22, P1, DOI 10.1016/j.cosust.2017.01.002
   Bush J., 2023, Nat. -Based Solut., V3, DOI [10.1016/j.nbsj.2023.100065, DOI 10.1016/J.NBSJ.2023.100065]
   Bush J, 2023, LANDSCAPE URBAN PLAN, V235, DOI 10.1016/j.landurbplan.2023.104754
   Bush J, 2020, AUST PLAN, V56, P95, DOI 10.1080/07293682.2020.1739093
   Charmaz K., 2008, SAGE ENCY QUALITATIV, P374
   City of Melbourne, 2012, URB FOR STRAT MAK GR
   Coenen L, 2020, AUST PLAN, V56, P144, DOI 10.1080/07293682.2020.1740286
   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]
   Davidson K, 2018, URBAN POLICY RES, V36, P230, DOI 10.1080/08111146.2017.1354848
   Davison A, 2014, URBAN POLICY RES, V32, P145, DOI 10.1080/08111146.2013.832669
   Dorst H, 2022, LANDSCAPE URBAN PLAN, V220, DOI 10.1016/j.landurbplan.2021.104335
   Dorst H, 2021, CITIES, V116, DOI 10.1016/j.cities.2021.103283
   Doyon A., 2018, Enabling Eco-Cities: Defining, Planning, and Creating a Thriving Future, P65, DOI [DOI 10.1007/978-981-10-7320-55, 10.1007/978-981-10-7320-5_5., DOI 10.1007/978-981-10-7320-5_5]
   Droege SB, 2010, J DEV ENTREP, V15, P205, DOI 10.1142/S1084946710001518
   Edmondson DL, 2019, RES POLICY, V48, DOI 10.1016/j.respol.2018.03.010
   Fastenrath S, 2020, GEOFORUM, V116, P63, DOI 10.1016/j.geoforum.2020.07.011
   Foo K, 2018, CITIES, V77, P67, DOI 10.1016/j.cities.2018.01.002
   Frantzeskaki N, 2022, AMBIO, V51, P1433, DOI 10.1007/s13280-022-01725-z
   Frantzeskaki N, 2022, BIOSCIENCE, V72, P113, DOI 10.1093/biosci/biab105
   Frantzeskaki N, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127262
   Frantzeskaki N, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104688
   Frantzeskaki N, 2019, BIOSCIENCE, V69, P455, DOI 10.1093/biosci/biz042
   Frantzeskaki N, 2016, TECHNOL FORECAST SOC, V102, P275, DOI 10.1016/j.techfore.2015.09.007
   Frantzeskaki N, 2013, LECT N ENERG, V23, P101, DOI 10.1007/978-1-4471-5595-9_6
   French J. R. J., 1975, Australian Forestry, V38, P177
   Fuenfschilling L, 2019, EUR PLAN STUD, V27, P219, DOI 10.1080/09654313.2018.1532977
   Geels FW, 2021, ENVIRON INNOV SOC TR, V41, P45, DOI 10.1016/j.eist.2021.10.021
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   Gentin S, 2023, LANDSCAPE ECOL, V38, P4177, DOI 10.1007/s10980-022-01421-z
   Gulsrud NM, 2018, ENVIRON RES, V161, P158, DOI 10.1016/j.envres.2017.11.005
   Hartigan M, 2021, LAND-BASEL, V10, DOI 10.3390/land10080809
   Howlett M, 2015, ENVIRON PLANN C, V33, P1233, DOI 10.1177/0263774X15610059
   IPBES, 2019, Summary for policymakers of the global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, DOI DOI 10.5281/ZENODO.3553579
   Irvine S, 2019, Urban Transformations, V1, DOI [DOI 10.1186/S42854-019-0001-7, 10.1186/s42854-019-0001-7]
   Johnston M., 1989, ECOS, V10, P44
   Kabisch N, 2022, AMBIO, V51, P1388, DOI 10.1007/s13280-021-01685-w
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kirkpatrick JB, 2013, LANDSCAPE URBAN PLAN, V119, P124, DOI 10.1016/j.landurbplan.2013.07.009
   Kübler D, 2012, EUR POLIT SCI, V11, P430, DOI 10.1057/eps.2011.44
   Lawrence A, 2013, URBAN FOR URBAN GREE, V12, P464, DOI 10.1016/j.ufug.2013.05.002
   Lockwood M, 2022, POLICY SCI, V55, P487, DOI 10.1007/s11077-022-09467-1
   Loorbach D, 2017, ANNU REV ENV RESOUR, V42, P599, DOI 10.1146/annurev-environ-102014-021340
   Matthews T, 2012, LOCAL ENVIRON, V17, P1089, DOI 10.1080/13549839.2012.714764
   Moore G. M., 1993, Journal of Arboriculture, V19, P74
   Novalia W, 2018, ENVIRON SCI POLICY, V83, P11, DOI 10.1016/j.envsci.2018.02.004
   Ordóñez C, 2020, FORESTS, V11, DOI 10.3390/f11090963
   Ordóñez C, 2020, ENVIRON SCI POLICY, V104, P136, DOI 10.1016/j.envsci.2019.11.008
   Ordóñez C, 2019, LANDSCAPE URBAN PLAN, V189, P166, DOI 10.1016/j.landurbplan.2019.04.020
   Oteman M, 2014, ENERGY SUSTAIN SOC, V4, DOI 10.1186/2192-0567-4-11
   Park MS, 2013, URBAN FOR URBAN GREE, V12, P273, DOI 10.1016/j.ufug.2013.04.004
   Patterson JJ, 2019, J ENVIRON PLANN MAN, V62, P1, DOI 10.1080/09640568.2018.1538328
   Pesch U, 2015, TECHNOL FORECAST SOC, V90, P379, DOI 10.1016/j.techfore.2014.05.009
   Phelan K, 2019, URBAN POLICY RES, V37, DOI 10.1080/08111146.2018.1518813
   Raven RPJM, 2006, RES POLICY, V35, P581, DOI 10.1016/j.respol.2006.02.001
   Roger E, 2022, URBAN ECOSYST, V25, P741, DOI 10.1007/s11252-021-01187-3
   Rogers BC, 2015, ENVIRON INNOV SOC TR, V15, P42, DOI 10.1016/j.eist.2013.12.001
   Salo HH, 2022, ENVIRON SCI POLICY, V128, P242, DOI 10.1016/j.envsci.2021.11.024
   Savini F, 2019, ENVIRON PLANN A, V51, P831, DOI 10.1177/0308518X19826085
   Smith A, 2012, RES POLICY, V41, P1025, DOI 10.1016/j.respol.2011.12.012
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   The Nature Conservancy and Resilient Melbourne, 2019, LIV MELB OUR METR UR
   Tozer L, 2022, GLOBAL ENVIRON CHANG, V74, DOI 10.1016/j.gloenvcha.2022.102521
   van der Jagt APN, 2020, ENVIRON INNOV SOC TR, V35, P202, DOI 10.1016/j.eist.2019.09.005
   van der Jagt APN, 2019, SCAND J FOREST RES, V34, P53, DOI 10.1080/02827581.2018.1532018
   Willems JJ, 2022, URBAN CLIM, V44, DOI 10.1016/j.uclim.2022.101222
   Xie LJ, 2022, ENVIRON SCI POLICY, V132, P119, DOI 10.1016/j.envsci.2022.02.017
   Yin R. K., 1989, Case study research: Design and methods, V5
   Young OR, 2008, INSTITUTIONS AND ENVIRONMENTAL CHANGE: PRINCIPAL FINDINGS, APPLICATIONS, AND RESEARCH FRONTIERS, P3
NR 72
TC 2
Z9 2
U1 2
U2 4
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0729-3682
EI 2150-6841
J9 AUST PLAN
JI Aust. Plan.
PD APR 3
PY 2023
VL 59
IS 2
BP 154
EP 169
DI 10.1080/07293682.2023.2268222
EA OCT 2023
PG 16
WC Regional & Urban Planning
WE Emerging Sources Citation Index (ESCI)
SC Public Administration
GA X5WC9
UT WOS:001087331000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Dinc, P
   Eklund, L
AF Dinc, Pinar
   Eklund, Lina
TI Syrian farmers in the midst of drought and conflict: the causes,
   patterns, and aftermath of land abandonment and migration
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Drought; armed conflict; migration; land abandonment; climate
   adaptation; trapped population; Syria; Turkey
ID CLIMATE-CHANGE; ENVIRONMENTAL MIGRATION; CIVIL-WAR; INTERNAL MIGRATION;
   POLITICAL ECOLOGY; FERTILE CRESCENT; MIDDLE-EAST; MOBILITY; IMPACTS;
   STATE
AB The prevailing narrative on the Syrian Civil War attributes it to climate-induced migration resulting from a severe drought, which serves as a central link connecting climate change with the 2011 protests. However, limited research has involved interviews with Syrians, with most studies focusing on drought's meteorological aspects and estimated migrant numbers. Our interdisciplinary study we conduct surveys with 82 former Syrian farmers in Turkey, carry out 16 in-depth interviews, and analyse satellite images to explore land use activities. Our objective is to answer three questions: (1) How can we distinguish between 'forced displacement' and 'migration as an adaptive response' during the 2007-2009 drought in Syria and the subsequent civil war? (2) How do drought, land abandonment, and migration interact in Syria since 2006? (3) How can we enhance understanding of 'trapped' individuals, considering mobility restrictions in host countries rather than solely immobility in the country of origin? Our findings are threefold: firstly, Syrian farmers employed adaptive measures against drought before the war; secondly, land abandonment during the drought was less extensive than portrayed in literature linking climate, migration, and conflict; and finally, we emphasize that refugees may feel trapped even after leaving their homes.
C1 [Dinc, Pinar] Lund Univ, Dept Polit Sci, Lund, Sweden.
   [Dinc, Pinar; Eklund, Lina] Lund Univ, Ctr Adv Middle Eastern Studies CMES, Lund, Sweden.
   [Eklund, Lina] Lund Univ, Dept Phys Geog & Ecosyst Sci, Lund, Sweden.
   [Dinc, Pinar] Finngatan 16, S-22362 Lund, Sweden.
C3 Lund University; Lund University; Lund University
RP Dinc, P (corresponding author), Finngatan 16, S-22362 Lund, Sweden.
EM pinar.dinc@svet.lu.se
RI Eklund, Lina/H-6866-2019
OI Dinc, Pinar/0000-0001-9731-2470
FU Svenska Forskningsradet Formas [2019-01131]; Strategic Research Area:
   The Middle East in the Contemporary World (MECW) at the Centre for
   Advanced Middle Eastern Studies, Lund University, Sweden; Formas
   [2019-01131] Funding Source: Formas; Vinnova [2019-01131] Funding
   Source: Vinnova
FX This research was funded by Svenska Forskningsradet Formas [2019-01131];
   and the Strategic Research Area: The Middle East in the Contemporary
   World (MECW) at the Centre for Advanced Middle Eastern Studies, Lund
   University, Sweden.
CR Ababsa Myriam., 2015, Polit. Econ. Int. Relat, P199, DOI [10.2307/j.ctt1j2n833.13, DOI 10.2307/J.CTT1J2N833.13]
   Abel GJ, 2019, GLOBAL ENVIRON CHANG, V54, P239, DOI 10.1016/j.gloenvcha.2018.12.003
   ACTED, 2022, SUPP FARM NO SYR OV
   Adams H, 2016, POPUL ENVIRON, V37, P429, DOI 10.1007/s11111-015-0246-3
   Adger WN, 2018, ROUT INT HANDB, P29
   Adger WN, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/6/060201
   Afifi T., 2016, Migration and Development, V5, P254, DOI [DOI 10.1080/21632324.2015.1022974, 10.1080/21632324, DOI 10.1080/21632324]
   Ambrus (ed) S., 2021, 2021 INTERNAL DISPLA
   Angermayr G., 2022, SYRIAN CLIMATE MIGRA
   [Anonymous], 2011, Migration and Global Environmental Change
   Ash K, 2020, J CONFLICT RESOLUT, V64, P3, DOI 10.1177/0022002719864140
   Ayeb-Karlsson S, 2019, DISASTERS, V43, P752, DOI 10.1111/disa.12404
   Barnett Jon., 2010, Climate Change and Displacement Multidisciplinary Perspectives, P37, DOI DOI 10.5040/9781472565211.CH-003,1
   Baumann M, 2016, J LAND USE SCI, V11, P672, DOI 10.1080/1747423X.2016.1241317
   Baumann M, 2015, REG ENVIRON CHANGE, V15, P1703, DOI 10.1007/s10113-014-0728-3
   Black R., 2014, FORCED MIGRATION REV, V5
   Black R, 2011, GLOBAL ENVIRON CHANG, V21, pS3, DOI 10.1016/j.gloenvcha.2011.10.001
   Boas I, 2022, J ETHN MIGR STUD, V48, P3365, DOI 10.1080/1369183X.2022.2066264
   Bobojonov I, 2014, CLIM DEV, V6, P166, DOI 10.1080/17565529.2013.844676
   Daoudy M, 2020, ORIGINS OF THE SYRIAN CONFLICT: CLIMATE CHANGE AND HUMAN SECURITY, P1, DOI 10.1017/9781108567053
   De Longueville F, 2020, CLIMATIC CHANGE, V160, P123, DOI 10.1007/s10584-020-02704-7
   De Sherbinin A. M., 2022, MIGRATION THEORY CLI
   Delfiyan F, 2021, CLIM DEV, V13, P152, DOI 10.1080/17565529.2020.1737797
   Eklund L., 2012, The Open Geography Journal, V5, P48, DOI 10.2174/1874923201205010048
   Eklund L, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00405-w
   Eklund L, 2017, ECOL SOC, V22, DOI [10.5751/ES-09179-220409, 10.5751/es-09179-220409]
   Eklund L, 2015, NAT HAZARDS, V76, P421, DOI 10.1007/s11069-014-1504-x
   Fiddian-Qasmiyeh Elena., 2014, OXFORD HDB REFUGEE F
   Findlay AM, 2011, GLOBAL ENVIRON CHANG, V21, pS50, DOI 10.1016/j.gloenvcha.2011.09.004
   Frohlich C.J., 2016, Contemporary Levant, V1, P38, DOI [10.1080/20581831.2016.1149355, DOI 10.1080/20581831.2016.1149355, 10.1080/20581831.2016]
   Gemenne F, 2017, GEOGR J, V183, P336, DOI 10.1111/geoj.12205
   Gleick PH, 2014, WEATHER CLIM SOC, V6, P331, DOI 10.1175/WCAS-D-13-00059.1
   Hoffmann C, 2018, J HIST SOCIOL, V31, P94, DOI 10.1111/johs.12194
   Hugo GJ, 2016, POPUL SPACE PLACE, V22, P651, DOI 10.1002/psp.1930
   Ide T, 2018, CURR CLIM CHANGE REP, V4, P347, DOI 10.1007/s40641-018-0115-0
   Joarder MAM, 2013, GLOBAL ENVIRON CHANG, V23, P1511, DOI 10.1016/j.gloenvcha.2013.07.026
   Kabir ME, 2018, INT J DISAST RISK RE, V31, P617, DOI 10.1016/j.ijdrr.2018.06.010
   Kelley CP, 2015, P NATL ACAD SCI USA, V112, P3241, DOI 10.1073/pnas.1421533112
   King R, 2010, J ETHN MIGR STUD, V36, P1619, DOI 10.1080/1369183X.2010.489380
   Koubi V, 2016, CLIMATIC CHANGE, V138, P439, DOI 10.1007/s10584-016-1767-1
   Levers C, 2018, SCI TOTAL ENVIRON, V644, P95, DOI 10.1016/j.scitotenv.2018.06.326
   Linke AM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad8cc
   Lu C, 2020, GROWTH CHANGE, V51, P1804, DOI 10.1111/grow.12431
   McLeman R, 2018, ROUT INT HANDB, P3
   Missirian A, 2017, SCIENCE, V358, P1610, DOI 10.1126/science.aao0432
   Mohr B., 2021, THESIS LUND U
   Nawrotzki RJ, 2017, POPUL SPACE PLACE, V23, DOI 10.1002/psp.2033
   Obokata R, 2014, POPUL ENVIRON, V36, P111, DOI 10.1007/s11111-014-0210-7
   Ocello C, 2015, POPUL ENVIRON, V37, P99, DOI 10.1007/s11111-014-0229-9
   Owain EL, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0096-6
   Parrish R, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17176036
   Parsons L, 2021, ANN AM ASSOC GEOGR, V111, P971, DOI 10.1080/24694452.2020.1807899
   Piguet E, 2018, POPUL ENVIRON, V39, P357, DOI 10.1007/s11111-018-0296-4
   Presidency of Migration Management, 2023, TEMP PROT
   Qian WR, 2016, J RURAL STUD, V47, P542, DOI 10.1016/j.jrurstud.2016.07.024
   Radel C, 2018, WORLD DEV, V108, P263, DOI 10.1016/j.worlddev.2017.04.023
   Rademacher-Schulz C, 2014, CLIM DEV, V6, P46, DOI 10.1080/17565529.2013.830955
   Selby J., 2020, MIDDLE E REPORT ONLI
   Selby J, 2019, GEOFORUM, V101, P260, DOI 10.1016/j.geoforum.2018.06.010
   Selby J, 2017, POLIT GEOGR, V60, P253, DOI 10.1016/j.polgeo.2017.08.001
   Selby J, 2017, POLIT GEOGR, V60, P232, DOI 10.1016/j.polgeo.2017.05.007
   Trigo RM, 2010, AGR FOREST METEOROL, V150, P1245, DOI 10.1016/j.agrformet.2010.05.006
   UNHCR, 2022, TURK FACT SHEET
   Üstübici A, 2022, J ETHN MIGR STUD, V48, P4865, DOI 10.1080/1369183X.2022.2123433
   Valenta M, 2020, REFUG SURV Q, V39, P153, DOI 10.1093/rsq/hdaa002
   Vinke K, 2020, MIGR STUD, V8, P626, DOI 10.1093/migration/mnaa029
   Wang FY, 2021, NANO RES, V14, P2783, DOI 10.1007/s12274-021-3286-2
   Warner K, 2014, CLIM DEV, V6, P1, DOI 10.1080/17565529.2013.835707
   Werrell C., 2015, SAIS REV INT AFFAIRS, V35, P29, DOI [DOI 10.1353/SAIS.2015, DOI 10.1353/SAIS.2015.0002.PR0JECT, 10.1353/sais.2015.0002]
   Werrell E. C. E., 2012, ARAB SPRING CLIMATE, P68
   Wiederkehr C, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae6de
   Wiegel H, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.610
   Xu DD, 2019, J ENVIRON MANAGE, V232, P738, DOI 10.1016/j.jenvman.2018.11.136
   Zetter R., 2019, Forced Migration. Current Issues and Debates, P19, DOI 10.4324/9781315623757
   Zickgraf C, 2018, ROUT INT HANDB, P71
   Zuntz AC, 2021, J REFUG STUD, V34, P1400, DOI 10.1093/jrs/feab016
NR 76
TC 9
Z9 9
U1 10
U2 19
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD MAY 27
PY 2024
VL 16
IS 5
BP 349
EP 362
DI 10.1080/17565529.2023.2223600
EA JUN 2023
PG 14
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA RG2S2
UT WOS:001020390200001
OA hybrid
DA 2025-01-10
ER

PT J
AU Donaldson, DL
   Ferranti, EJS
   Quinn, AD
   Jayaweera, D
   Peasley, T
   Mercer, M
AF Donaldson, Daniel L.
   Ferranti, Emma J. S.
   Quinn, Andrew D.
   Jayaweera, Dilan
   Peasley, Thomas
   Mercer, Mark
TI Enhancing power distribution network operational resilience to extreme
   wind events
SO METEOROLOGICAL APPLICATIONS
LA English
DT Article
DE climate adaptation; infrastructure resilience; weather impact
ID CLIMATE; UNCERTAINTY
AB Extreme weather events can cause significant damage to power distribution network infrastructure, often resulting in power outages. Distribution Network Operators (DNOs) are faced with the challenging task of responding to these outages in real time while maintaining a resilient grid. Our paper presents an innovative approach to alert operators about the potential risk associated with upcoming extreme weather through a normalized fragility curve. The uniqueness of the curve is the ability to capture regional differences across a DNO's territory while presenting operators with a means of setting unified risk thresholds. This can support a proactive response and allow the staging of necessary resources to minimize the threat posed by such events. Our approach captures the changes in failure probability associated with differing wind regimes and demonstrates the benefit of sub-regional meteorological information. The proposed approach is demonstrated for wind events using 20 years of historical fault records from a DNO in the United Kingdom (UK). While its efficacy is demonstrated for windstorms in the UK, the approach could be applied globally to develop normalized fragility curves for other types of seasonal extreme weather events such as snowstorms, hurricanes, or linked hazards such as wildfires. The approach can also facilitate an understanding of how infrastructure may operate under future climate conditions, supporting proactive adaptation.
C1 [Donaldson, Daniel L.; Ferranti, Emma J. S.; Quinn, Andrew D.; Jayaweera, Dilan] Univ Birmingham, Sch Engn, Birmingham, England.
   [Peasley, Thomas; Mercer, Mark] Elect North West ENWL, Manchester, England.
   [Ferranti, Emma J. S.] Univ Birmingham, Birmingham B15 2TT, England.
C3 University of Birmingham; University of Birmingham
RP Ferranti, EJS (corresponding author), Univ Birmingham, Birmingham B15 2TT, England.
EM e.ferranti@bham.ac.uk
RI ; Quinn, Andrew/B-7793-2008
OI Ferranti, Emma/0000-0002-0494-5349; Jayaweera,
   Dilan/0000-0002-1009-9089; Quinn, Andrew/0000-0003-0254-4661; Donaldson,
   Daniel L./0000-0003-3419-3624
FU Engineering and Physical Sciences Research Council [EP/R007365/1]; EPSRC
   Impact Acceleration grant - University of Birmingham; EPSRC
   [EP/R007365/1] Funding Source: UKRI
FX Engineering and Physical Sciences Research Council, Grant/Award Number:
   EP/R007365/1; EPSRC Impact Acceleration grant awarded by the University
   of Birmingham
CR [Anonymous], 2013, MIN DELOADBUILD
   BEIS, 2021, STORM ARW EL DISTR D
   BEIS, 2022, EN EM EX COMM STORM
   BSI, 2005, 1991142005A12010 BIS
   Climate Change Act, 2008, CLIM CHANG ACT C 27
   Cook N.J., 1985, DESIGNERS GUIDE WIND
   Dobney K, 2010, P I MECH ENG F-J RAI, V224, P25, DOI 10.1243/09544097JRRT292
   Dunn S, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000267
   ENWL, 2021, CLIMATE CHANGE ADAPT
   Ferranti E, 2017, WEATHER, V72, P3, DOI 10.1002/wea.2907
   Fung F., 2019, UKC18 FACTSHEET WEAT
   Gumbel EJ., 1958, STAT EXTREMES
   Han J, 2012, MOR KAUF D, P1
   Harris CR, 2020, NATURE, V585, P357, DOI 10.1038/s41586-020-2649-2
   Hosking JS, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf78
   Hunter JD, 2007, COMPUT SCI ENG, V9, P90, DOI 10.1109/MCSE.2007.55
   IEEE, 2012, IEEE Std, DOI [10.1109/IEEESTD.2012.6204026, DOI 10.1109/IEEESTD.2012.6209381, 10.1109/IEEESTD.2012.6209381]
   ISO-14090:2019(en), 2019, ADAPTATION CLIMATE C
   Jaroszweski D., 2021, The Third UK Climate Change Risk Assessment Technical Report
   Jeong SH, 2007, ENG STRUCT, V29, P1238, DOI 10.1016/j.engstruct.2006.06.026
   Karney CFF, 2013, J GEODESY, V87, P43, DOI 10.1007/s00190-012-0578-z
   Lagos T, 2020, IEEE T POWER SYST, V35, P1411, DOI 10.1109/TPWRS.2019.2945316
   Lieblein J., 1974, EFFICIENT METHODS EX
   McKinney W, 2010, Data structures for statistical computing in Python, P51, DOI [10.25080/majora-92bf1922-00a, DOI 10.25080/MAJORA-92BF1922-00A]
   Met Office, 2016, N W ENGL ISL MAN CLI
   Met Office, 2014, WINT STORM
   Met Office, 2019, MET OFF MIDAS OP UK
   Met Office, 2019, UK CLIMATE PROJECTIO
   MURRAY K, 2014, 2014 INT C PROBABILI, P11
   National Grid Electricity System Operator, 2020, GB DNO LIC AR 202005
   NCAS British Atmospheric Data Centre, 2021, MIDAS UK MEAN WIND D
   Northern Powergrid, 2010, CLIM CHANG AD REP
   OFGEM, 2020, RIIO ED1 NETW PERF S
   Palutikof JP, 1999, METEOROL APPL, V6, P119, DOI 10.1017/S1350482799001103
   Panteli M, 2017, IEEE T POWER SYST, V32, P3747, DOI 10.1109/TPWRS.2016.2641463
   Porter J., 2017, OSGRIDCONVERTER 0 1
   Quinn AD, 2018, INFRASTRUCTURES-BASE, V3, DOI 10.3390/infrastructures3020010
   Ranger N, 2013, EURO J DECIS PROCESS, V1, P233, DOI 10.1007/s40070-013-0014-5
   Schultz M.T., 2010, SR101 ERDC
   Scottish and Southern Electricity Networks, 2021, SSEN REST POW HOM AF
   Seabold S., 2010, P 9 PYTH SCI C AUST, V57, P10, DOI DOI 10.25080/MAJORA-92BF1922-011
   Shepherd TG, 2019, P ROY SOC A-MATH PHY, V475, DOI 10.1098/rspa.2019.0013
   Shepherd TG, 2014, NAT GEOSCI, V7, P703, DOI 10.1038/NGEO2253
   Shield SA, 2021, ENERGY, V218, DOI 10.1016/j.energy.2020.119434
   Thornton H., 2019, UKCP18 FACTSHEET WEA
   Troshka L., 2022, NIA PROJECT ANN PROG
   Virtanen P, 2020, NAT METHODS, V17, P261, DOI 10.1038/s41592-019-0686-2
   Waskom M., 2021, Journal of Open Source Software, V6, DOI [10.21105/JOSS.03021, DOI 10.21105/JOSS.03021, 10.21105/joss.03021]
   Wilkinson S, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2022.100412
   Zareei SA, 2016, ENG FAIL ANAL, V70, P273, DOI 10.1016/j.engfailanal.2016.09.007
NR 50
TC 4
Z9 4
U1 4
U2 9
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 2023
VL 30
IS 2
AR e2127
DI 10.1002/met.2127
PG 14
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA E6RL3
UT WOS:000976790700001
DA 2025-01-10
ER

PT J
AU Begum, MEA
   Hossain, MI
   Mainuddin, M
AF Begum, Mst. Esmat Ara
   Hossain, Mohammad Ismail
   Mainuddin, Mohammed
TI Climate change perceptions, determinants and impact of adaptation
   strategies on watermelon farmers in the saline coastal areas of
   Bangladesh
SO LETTERS IN SPATIAL AND RESOURCE SCIENCES
LA English
DT Article
DE Climate change; Determinants; Impact; Productivity; Adaptation
   strategies; Farmer association
ID TECHNOLOGY ADOPTION; FOOD SECURITY; IRRIGATION; PROGRAMS
AB A better understanding of area-specific adaptation is crucial to develop and implement proper adaptation strategies that can alleviate the threats of climate change. This study examined the climate change perceptions, determinants and impact of adaptation strategies in saline coastal areas of Bangladesh. Cross-sectional data collected from 100 households producing watermelon in the Rabi season were used for the analysis. Heavy rain was reported as major climate risks of crop loss by the farmers. Mulch was the most widely used climate risk adaptation technique in the study area. Age had a positive influence on farmers' adoption of the use of mini ponds for irrigation while negative influence on adoption of suitable saline tolerance varieties. Experience in watermelon farming influenced the adoption of suitable salt-tolerant varieties. Multinominal probit and Propensity Score Matching (PSM) results indicated that 'farmland size owned' is less likely to use the pond for irrigation and suitable salt tolerant varieties. Membership of a farmer association and perception of decreasing rain influenced farmers' adoption of mulching, intercropping, use of mini ponds for irrigation, and suitable salt tolerant varieties as adaptation strategies. Policy focuses on the provision of agricultural services and strengthening strong partnerships with different collaborators and development partners for adaptive capacity of climate adaptation strategies would be of effective.
C1 [Begum, Mst. Esmat Ara] Bangladesh Agr Res Inst BARI, Agr Econ Div, Gazipur 1701, Bangladesh.
   [Hossain, Mohammad Ismail] Bangladesh Agr Univ, Dept Agribusiness & Mkt, Mymensingh 2202, Bangladesh.
   [Mainuddin, Mohammed] CSIRO Land & Water, Canberra, ACT 2601, Australia.
C3 Bangladesh Agricultural Research Institute (BARI); Bangladesh
   Agricultural University (BAU); Commonwealth Scientific & Industrial
   Research Organisation (CSIRO); CSIRO Land & Water
RP Begum, MEA (corresponding author), Bangladesh Agr Res Inst BARI, Agr Econ Div, Gazipur 1701, Bangladesh.
EM esmatbau@yahoo.com; ismailho12@yahoo.co.in; mohammed.mainuddin@csiro.au
RI Hossain, Mohammad/AAT-8348-2020; Begum, Mst. Esmat Ara/GNN-0172-2022;
   Mainuddin, Mohammed/I-8667-2012
OI Begum, Mst. Esmat Ara/0000-0003-2677-148X; Hossain, Mohammad
   Ismail/0000-0002-3213-2337
FU Australian Centre for International Agricultural Research (ACIAR);
   Krishi Gobeshona Foundation (KGF)
FX The study is funded by the Australian Centre for International
   Agricultural Research (ACIAR) and Krishi Gobeshona Foundation (KGF)
   under the project Mitigating risk and scaling-out profitable cropping
   system intensification practices in the salt-affected coastal zones of
   the Ganges Delta'. Appreciation is extended to the enumerators and
   farmers for their cooperation.
CR Abebaw D, 2013, FOOD POLICY, V38, P82, DOI 10.1016/j.foodpol.2012.10.003
   Abedin MA, 2019, INT J DISAST RISK SC, V10, P28, DOI 10.1007/s13753-018-0211-8
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Ahmed, 2019, J COAST ZONE MANAG, V22, P1, DOI [10.24105/2473-3350.22.466, DOI 10.24105/2473-3350.22.466]
   Akter S, 2016, GLOBAL ENVIRON CHANG, V38, P217, DOI 10.1016/j.gloenvcha.2016.03.010
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Amare ZY., 2018, AGR FOOD SECUR, V7, P1, DOI [10.1186/s40066-018-0188-y, DOI 10.1186/S40066-018-0188-Y]
   Aravindakshan S, 2020, AGR SYST, V177, DOI 10.1016/j.agsy.2019.102695
   Aryal JP, 2020, ENVIRON MANAGE, V66, P105, DOI 10.1007/s00267-020-01291-8
   Aryal JP, 2020, ENVIRON DEV SUSTAIN, V22, P5045, DOI 10.1007/s10668-019-00414-4
   Asfaw M., 2019, W ETHIOPIA REV AGR A, V22, P65
   Atube Francis, 2021, Agriculture and Food Security, V10, DOI 10.1186/s40066-020-00279-1
   Bell R. W., 2019, Journal of the Indian Society of Coastal Agricultural Research, V37, P153
   Bijalwan P, 2021, SAUDI J BIOL SCI, V28, P3678, DOI 10.1016/j.sjbs.2021.05.019
   Dah-Gbeto Afiavi P, 2016, Ambio, V45, P297
   Dastagir MR, 2015, WEATHER CLIM EXTREME, V7, P49, DOI 10.1016/j.wace.2014.10.003
   Diallo A, 2020, CLIMATIC CHANGE, V159, P309, DOI 10.1007/s10584-020-02684-8
   Eckstein D., 2021, Global Climate Risk Index 2021: Who Suffers Most from Extreme Weather Events? Weather-Related Loss Events in 2019 and 20002019
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gbetibouo GA, 2010, AGREKON, V49, P217, DOI 10.1080/03031853.2010.491294
   GoB, 2018, Bangladesh Delta Plan 2100  Bangladesh in the 21st Century: Volume I Strategy
   Greene W.H., 2019, Econometric Analysis
   HIES, 2016, US
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Hossain M.A., 2020, Int. J. Environ. Clim. Change, V10, P53, DOI DOI 10.9734/IJECC/2020/V10I230181
   Hossain MS, 2017, SCI TOTAL ENVIRON, V584, P673, DOI 10.1016/j.scitotenv.2017.01.095
   Hussain M, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-019-7956-4
   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
   Kabir A, 2021, MITIG ADAPT STRAT GL, V26, DOI 10.1007/s11027-021-09968-z
   Kabir H., 2017, J CLIMATOLOGY WEATHE, V5, P1, DOI [DOI 10.4172/2332-2594.1000196, 10.4172/2332-2594.1000196]
   Kandlikar M, 2000, CLIMATIC CHANGE, V45, P529, DOI 10.1023/A:1005546716266
   Khan I.A., 2010, The Social Dimensions of Adaptation to Climate Change in Bangladesh
   Khandker S.R., 2009, HDB IMPACT EVALUATIO, DOI [DOI 10.1596/978-0-8213-8028-4, 10.1596/978-0-8213-8028-4]
   Krupnik TJ, 2017, LAND USE POLICY, V60, P206, DOI 10.1016/j.landusepol.2016.10.001
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Lin CTJ, 2005, FOOD QUAL PREFER, V16, P401, DOI 10.1016/j.foodqual.2004.07.001
   Long J. S., 2006, REGRESSION MODELS CA
   Mainuddin M., 2020, CROPPING SYSTEMS INT
   Mandal S, 2020, DECISION, V47, P19, DOI 10.1007/s40622-020-00236-8
   Marie M, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e03867
   Munisse P, 2012, EXP AGR, V48, P388, DOI 10.1017/S0014479712000051
   Mwinkom FXK, 2021, SN APPL SCI, V3, DOI 10.1007/s42452-021-04503-w
   Ndamani F, 2016, SCI AGR, V73, P201
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Paul PLC, 2021, AGRON SUSTAIN DEV, V41, DOI 10.1007/s13593-021-00698-9
   Paul PLC, 2020, AGR WATER MANAGE, V239, DOI 10.1016/j.agwat.2020.106211
   Pielke RA, 1998, GLOBAL ENVIRON CHANG, V8, P159, DOI 10.1016/S0959-3780(98)00011-9
   Rahman MW, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093521
   Rosegrant MW, 2003, SCIENCE, V302, P1917, DOI 10.1126/science.1092958
   ROSENBAUM PR, 1983, J ROY STAT SOC B MET, V45, P212
   Roy SJ, 2014, CURR OPIN BIOTECH, V26, P115, DOI 10.1016/j.copbio.2013.12.004
   Saha R. R., 2019, Journal of the Indian Society of Coastal Agricultural Research, V37, P72
   Salami A., 2010, Smallholder Agriculture in East Africa: Trends, Constraints and Opportunities
   Sarangi S.K., 2018, INDIAN FARM, V04, P23
   Sarangi Sukanta K., 2019, Journal of the Indian Society of Coastal Agricultural Research, V37, P115
   Sarkar S., 2019, Journal of the Indian Society of Coastal Agricultural Research, V37, P98
   Schulthess U, 2019, FIELD CROP RES, V239, P135, DOI 10.1016/j.fcr.2019.04.007
   Shahadat Mustafa Kamal, 2019, Journal of the Indian Society of Coastal Agricultural Research, V37, P104
   Sianesi B, 2004, REV ECON STAT, V86, P133, DOI 10.1162/003465304323023723
   Simane B, 2016, MITIG ADAPT STRAT GL, V21, P39, DOI 10.1007/s11027-014-9568-1
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   STROTZ RH, 1956, REV ECON STUD, V23, P165
   Suvedi M, 2017, J AGRIC EDUC EXT, V23, P351, DOI [10.1080/1389224x.2017.1323653, 10.1080/1389224X.2017.1323653]
   Takele A, 2019, COGENT ENVIRON SCI, V5, DOI 10.1080/23311843.2019.1708184
   Theis S., 2019, IFPRI DISCUSSION PAP, P1837, DOI [10.2499/p15738coll2.133260, DOI 10.2499/P15738COLL2.133260]
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P3
   World Bank, 2011, CLIM RISK AD COUNTR
NR 69
TC 2
Z9 2
U1 2
U2 9
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1864-4031
EI 1864-404X
J9 LETT SPAT RESOUR SCI
JI Lett. Spat. Resour. Sci.
PD DEC
PY 2023
VL 16
IS 1
DI 10.1007/s12076-022-00324-6
EA FEB 2023
PG 31
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA D6QK0
UT WOS:000924046900001
DA 2025-01-10
ER

PT J
AU Kgomo, TJ
   Modley, LAS
AF Kgomo, Thapelo Josias
   Modley, Lee-Ann Sade
TI Do younger generations care more about environmental issues? A
   comparison of perceptions between Gen Z and Gen X in Jo-hannesburg,
   South Africa
SO SOUTH AFRICAN GEOGRAPHICAL JOURNAL
LA English
DT Article
DE Gen X; Gen Z; knowledge; attitude; practices; global environmental
   change
ID CLIMATE-CHANGE; RISK PERCEPTIONS; MANAGEMENT; SUSTAINABILITY;
   DETERMINANTS; WILLINGNESS; CONSUMPTION; CHALLENGE; KNOWLEDGE; ATTITUDES
AB Many studies around the world have shown differences between generational cohorts in levels of concern about global environmental change. Global environmental change caused by the anthropogenic practices poses a threat to human life as well as biodiversity, and it is perpetuated by the lack of awareness of environmental sustainability. To spread awareness where it is lacking, it is important to determine which generation is more concerned about global environmental change. This study analysed the Knowledges, Attitudes and Practices of Gen X and Gen Z to determine which one is more concerned about global environmental change. There were no significant differences seen between the two generations in their respective levels of green knowledgeand their level of concern for climate change and environmental problems. There was, however, a significant difference in the peer discussions on global warming of the two cohorts; the results revealed that discussions are more common in the Gen X cohort. Investigating environmental perceptions in light of generational cohorts is of importance to environmental groups seeking to communicate with different generational cohorts to push the climate change movement forward, strategise better for climate adaptation plans and for policy makers to better advocate for climate action.
C1 [Kgomo, Thapelo Josias; Modley, Lee-Ann Sade] Univ Johannesburg, Fac Sci, Johannesburg, South Africa.
   [Kgomo, Thapelo Josias; Modley, Lee-Ann Sade] Univ Johannesburg, Dept Geog Environm Management & Energy Studies, Akad St,Kingsway Campus, Auckland Pk, South Africa.
C3 University of Johannesburg; University of Johannesburg
RP Modley, LAS (corresponding author), Univ Johannesburg, Fac Sci, Johannesburg, South Africa.
EM lee-annm@uj.ac.za
RI Kgomo, Thapelo/IVH-5579-2023
CR Andersson E, 2017, ENVIRON EDUC RES, V23, P465, DOI 10.1080/13504622.2016.1149551
   [Anonymous], 1987, FOCUS GROUPS QUALITA
   Arafin H.S., 2017, J PENELITIAN KOMONIK, V21, P88
   Ballantyne AG, 2016, CLIMATIC CHANGE, V134, P73, DOI 10.1007/s10584-015-1533-9
   Bartiaux F, 2008, J CLEAN PROD, V16, P1170, DOI 10.1016/j.jclepro.2007.08.013
   Bednarska MA, 2017, INT J MANAG ECON, V53, P65, DOI 10.1515/ijme-2017-0005
   Benckendorff P, 2012, J TEACH TRAVEL TOUR, V12, P44, DOI 10.1080/15313220.2012.650063
   Besel RD, 2017, J RISK RES, V20, P61, DOI 10.1080/13669877.2015.1017830
   Bone J, 2011, ENVIRON SCI TECHNOL, V45, P104, DOI 10.1021/es101463y
   BOYES E, 1993, INT J SCI EDUC, V15, P531, DOI 10.1080/0950069930150507
   Campbell, 2020, BRITTANICA JOHANNESB
   City of Johannesburg (CoJ), 2009, CLIMATE CHANGE ADAPT
   Courtney D. A., 2020, EXPLORING GENERATION
   Death C, 2014, J S AFR STUD, V40, P1215, DOI 10.1080/03057070.2014.964494
   DeWall CN, 2009, J PERS SOC PSYCHOL, V96, P45, DOI 10.1037/a0013196
   EUROSTAT, 2021, Quality of life indicators -Statistics Explained
   Fadhel K., 2002, The Sosland Journal, P21
   de Guimaraes JCF, 2017, J CLEAN PROD, V141, P881, DOI 10.1016/j.jclepro.2016.09.166
   Fundacion Promocion Social (FPS), 2017, GUID GOOD ENV PRACT
   Garg B., 2014, PREPRINT
   Gerretsen I., 2019, CNN             0315
   Goldberg MH, 2019, SCI COMMUN, V41, P659, DOI 10.1177/1075547019874361
   Gómez-Román C, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13010045
   Gray SG, 2019, J ENVIRON MANAGE, V242, P394, DOI 10.1016/j.jenvman.2019.04.071
   Han H, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104127
   Haws KL, 2014, J CONSUM PSYCHOL, V24, P336, DOI 10.1016/j.jcps.2013.11.002
   Herman-Mercer NM, 2016, ECOL SOC, V21, DOI 10.5751/ES-08463-210328
   Hibberd M, 2013, INT J MEDIA CULT POL, V9, P27, DOI 10.1386/macp.9.1.27_1
   Homburg C, 2005, J MARKETING, V69, P84, DOI 10.1509/jmkg.69.2.84.60760
   Human Science Research Council (HSRC), 2014, CIT JOH COJ EC OV
   IDP, CIT JOH DRAFT INT DE
   Ito H, 2018, Applied Environmental Education and Communication, V17, P215, DOI [10.1080/1533015x.2017.1395718, DOI 10.1080/1533015X.2017.1395718]
   Janmaimool P, 2020, ENVIRON DEV SUSTAIN, V22, P957, DOI 10.1007/s10668-018-0228-6
   Kangalawe R.Y., 2012, SUSTAINABLE DEV AUTH, DOI [10.5772/45897, DOI 10.5772/45897]
   Katz S, 2017, GENERATIONS, V41, P12
   Kim SH, 2016, INT J HOSP MANAG, V52, P56, DOI 10.1016/j.ijhm.2015.09.013
   Kruter GE, 2012, REV GEST AMBIENT SUS, V1, P19, DOI 10.5585/geas.v1i1.8
   Kuppa S., 2018, THESIS J HOPKIN U
   Lauchlan E., 2020, SHIFT INSIGHT 2020
   Lauren F., 2010, GEORGE MASON U CTR C
   Leiserowitz AA, 2005, RISK ANAL, V25, P1433, DOI 10.1111/j.1540-6261.2005.00690.x
   Mahl D, 2020, ENVIRON COMMUN, V14, P802, DOI 10.1080/17524032.2020.1736116
   Malka A, 2009, RISK ANAL, V29, P633, DOI 10.1111/j.1539-6924.2009.01220.x
   McComas K, 1999, COMMUN RES, V26, P30, DOI 10.1177/009365099026001003
   McCright AM, 2010, POPUL ENVIRON, V32, P66, DOI 10.1007/s11111-010-0113-1
   MEADOWS D H, 1972, P205
   Meyer C., 2018, Perceptions of the environment and environmental issues in Stellenbosch, South Africa: A mixed-methods approach (Doctoral dissertation, Stellenbosch: Stellenbosch University)
   Miller J.D., 2012, The Generation X Report, V1, P1
   Moser SC, 2004, ENVIRONMENT, V46, P32, DOI 10.1080/00139150409605820
   Nemoto T., 2014, JALT 2013 Conference Proceedings, P1
   Neumayer E, 2007, ANN ASSOC AM GEOGR, V97, P551, DOI 10.1111/j.1467-8306.2007.00563.x
   Neurath O., 1973, EMPIRICISM SOCIOLOGY, P205, DOI [https://doi.org/10.1007/978-94-010-2525-6, DOI 10.1007/978-94-010-2525-6]
   Oesman, 2021, CONSUMERSWILLINGNESS, P530, DOI [https://doi.org/10.4108/eai.17-7-2020.2303067, DOI 10.4108/EAI.17-7-2020.2303067]
   Ojala M., 2017, Oxf Res Encyclopaedia Clim Sci, V3, P609, DOI DOI 10.1093/ACREFORE/9780190228620.013.408
   Olson J.F., 2008, TIMSS 2007 TECHNICAL, DOI DOI 10.1787/9789264130852-EN
   Pedersen E.R., 2006, Business Strategy and the Environment, V15, P15, DOI DOI 10.1002/BSE.434
   Pyhälä A, 2016, ECOL SOC, V21, DOI 10.5751/ES-08482-210325
   Rauta J, 2014, REV GEST AMBIENT SUS, V3, P135, DOI 10.5585/geas.v3i3.156
   Roberts JA, 1997, J BUS RES, V40, P79, DOI 10.1016/S0148-2963(96)00280-9
   ROCK I, 1985, ACTA PSYCHOL, V59, P3, DOI 10.1016/0001-6918(85)90039-3
   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]
   Selormy E., 2019, CHANGE AHEAD EXPERIE
   Severo Eliana Andrea, 2015, International Journal of Business and Globalisation, V15, P81
   Severo E A., 2018, Revista de Gestao Social E Ambiental, V11, P92, DOI DOI 10.24857/RGSA.V11I3.1266
   Severo EA, 2015, J CLEAN PROD, V96, P118, DOI 10.1016/j.jclepro.2014.06.027
   Sinding K., 2000, Business Strategy and the Environment, V9, P79, DOI DOI 10.1002/(SICI)1099-0836(200003/04)9:2<79::AIDBSE235>3.0.CO;2-#
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Statistics South Africa, 2018, Mid year population estimates.
   Streimikiene D., 2015, Intellect. Econ, V9, P67, DOI 10.1016/j.intele.2015.10.001
   Sun YY, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15010091
   Sundblad EL, 2007, J ENVIRON PSYCHOL, V27, P97, DOI 10.1016/j.jenvp.2007.01.003
   Tyson A., 2021, GEN Z MILLENNIALS ST
   van der Linden S, 2015, J ENVIRON PSYCHOL, V41, P112, DOI 10.1016/j.jenvp.2014.11.012
   VANLIERE KD, 1980, PUBLIC OPIN QUART, V44, P181
   Wang H, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030883
   Wen LM, 2011, INT J MED INFORM, V80, P406, DOI 10.1016/j.ijmedinf.2011.03.001
   Xiao CY, 2015, ENVIRON BEHAV, V47, P17, DOI 10.1177/0013916513491571
NR 77
TC 1
Z9 1
U1 3
U2 39
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0373-6245
EI 2151-2418
J9 S AFR GEOGR J
JI S. Afr. Geogr. J.
PD JUL 3
PY 2023
VL 105
IS 3
BP 402
EP 421
DI 10.1080/03736245.2022.2150283
EA DEC 2022
PG 20
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA K5XP2
UT WOS:000899965600001
DA 2025-01-10
ER

PT J
AU Shrestha, UB
   Lamsal, P
   Ghimire, SK
   Shrestha, BB
   Dhakal, S
   Shrestha, S
   Atreya, K
AF Shrestha, Uttam B.
   Lamsal, Pramod
   Ghimire, Suresh K.
   Shrestha, Bharat B.
   Dhakal, Sajita
   Shrestha, Sujata
   Atreya, Kishor
TI Climate change-induced distributional change of medicinal and aromatic
   plants in the Nepal Himalaya
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE medicinal and aromatic plants; Nepal; niche modeling; species
   distribution modeling
ID SPECIES DISTRIBUTION MODELS; NATURAL-PRODUCTS; CHANGE IMPACTS;
   CONSERVATION; PERFORMANCE; SHIFTS; ENSEMBLE; SURFACES; TRADE; SCALE
AB Medicinal and aromatic plants (MAPs) contribute to human well-being via health and economic benefits. Nepal has recorded 2331 species of MAPs, of which around 300 species are currently under trade. Wild harvested MAPs in Nepal are under increasing pressure from overexploitation for trade and the effects of climate change and development. Despite some localized studies to examine the impact of climate change on MAPs, a consolidated understanding is lacking on how the distribution of major traded species of MAPs will change with future climate change. This study identifies the potential distribution of 29 species of MAPs in Nepal under current and future climate using an ensemble modeling and hotspot approach. Future climate change will reduce climatically suitable areas of two-third of the studied species and decrease climatically suitable hotspots across elevation, physiography, ecoregions, federal states, and protected areas in Nepal. Reduction in climatically suitable areas for MAPs might have serious consequences for the livelihood of people that depend on the collection and trade of MAPs as well as Nepal's national economy. Therefore, it is imperative to consider the threats that future climate change may have on distribution of MAPs while designing protected areas and devising environmental conservation and climate adaptation policies.
C1 [Shrestha, Uttam B.; Shrestha, Bharat B.; Shrestha, Sujata] Global Inst Interdisciplinary Studies, POB 3084, Kathmandu, Nepal.
   [Lamsal, Pramod] Himalayan Geoen Pvt Ltd, Kathmandu, Nepal.
   [Ghimire, Suresh K.; Shrestha, Bharat B.] Tribhuvan Univ, Cent Dept Bot, Kathmandu, Nepal.
   [Dhakal, Sajita] Natl Herbarium & Plant Labs, Lalitpur, Nepal.
   [Atreya, Kishor] Tribhuvan Univ, Sch Forestry & Nat Resource Management, Inst Forestry, Kathmandu, Nepal.
C3 Tribhuvan University; Tribhuvan University; Institute of Forestry (IOF)
   - Nepal
RP Shrestha, UB (corresponding author), Global Inst Interdisciplinary Studies, POB 3084, Kathmandu, Nepal.
EM ubshrestha@yahoo.com
RI Lamsal, Pramod/P-6415-2019; Shrestha, Bharat/V-2006-2019; Atreya,
   Kishor/I-3452-2019
OI Shrestha, Uttam/0000-0002-8766-279X; Ghimire, Suresh
   Kumar/0000-0002-3845-4468; Atreya, Kishor/0000-0001-7164-5592
FU Deutsche Gesellschaft fur Internationale Zusammenarbeit; Missouri
   Botanical Garden; People and Plants Initiative; WWF Nepal; WWF UK;
   National Geographic Society [NGS-62058R-19]; ICIMOD
FX Deutsche Gesellschaft fur Internationale Zusammenarbeit; Missouri
   Botanical Garden; People and Plants Initiative; WWF Nepal; WWF UK;
   National Geographic Society, Grant/Award Number: NGS-62058R-19; ICIMOD
CR Aguirre-Gutiérrez J, 2017, DIVERS DISTRIB, V23, P739, DOI 10.1111/ddi.12573
   Allen JM, 2016, BIOL CONSERV, V203, P306, DOI 10.1016/j.biocon.2016.09.015
   Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   Anderson K, 2020, GLOBAL CHANGE BIOL, V26, P1608, DOI 10.1111/gcb.14919
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], 2012, IUCN RED LIST CATEGO, VSecond, P32
   Araújo MB, 2005, GLOBAL CHANGE BIOL, V11, P1504, DOI 10.1111/j.1365-2486.2005.01000.x
   Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Baldwin RA, 2009, ENTROPY, V11, P854, DOI 10.3390/e11040854
   Barata AM, 2016, IND CROP PROD, V88, P8, DOI 10.1016/j.indcrop.2016.02.035
   Barbet-Massin M, 2012, METHODS ECOL EVOL, V3, P327, DOI 10.1111/j.2041-210X.2011.00172.x
   Beaumont LJ, 2016, ECOL MODEL, V342, P135, DOI 10.1016/j.ecolmodel.2016.10.004
   Bellard C, 2013, GLOBAL CHANGE BIOL, V19, P3740, DOI 10.1111/gcb.12344
   Bhattacharjee A, 2017, CLIMATE, V5, DOI 10.3390/cli5040080
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Boria RA, 2014, ECOL MODEL, V275, P73, DOI 10.1016/j.ecolmodel.2013.12.012
   Brown JL, 2014, METHODS ECOL EVOL, V5, P694, DOI 10.1111/2041-210X.12200
   Chen SL, 2016, CHIN MED-UK, V11, DOI 10.1186/s13020-016-0108-7
   Cragg GM, 2013, BBA-GEN SUBJECTS, V1830, P3670, DOI 10.1016/j.bbagen.2013.02.008
   Dimson M, 2019, BIOL INVASIONS, V21, P2693, DOI 10.1007/s10530-019-02010-z
   Dormann CF, 2007, GLOBAL ECOL BIOGEOGR, V16, P129, DOI 10.1111/j.1466-8238.2006.00279.x
   Elsen PR, 2015, NAT CLIM CHANGE, V5, P772, DOI [10.1038/NCLIMATE2656, 10.1038/nclimate2656]
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Gairola S, 2010, J MED PLANTS RES, V4, P1825
   Gajurel J.P., 2014, ASIAN J CONSERV BIOL, V3, P127
   Gallien L, 2012, GLOBAL ECOL BIOGEOGR, V21, P1126, DOI 10.1111/j.1466-8238.2012.00768.x
   Ghimire S.K., 2016, Botanica Orientalis J. Plant Sci, V10, P24, DOI DOI 10.3126/BOTOR.V10I0.21020
   Ghimire SK, 2008, J APPL ECOL, V45, P41, DOI 10.1111/j.1365-2664.2007.01375.x
   Gupta S, 2019, ENDOPHYTES FOR A GROWING WORLD, P310
   Hamilton AC, 2004, BIODIVERS CONSERV, V13, P1477, DOI 10.1023/B:BIOC.0000021333.23413.42
   Hao TX, 2019, DIVERS DISTRIB, V25, P839, DOI 10.1111/ddi.12892
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hopping KA, 2018, P NATL ACAD SCI USA, V115, P11489, DOI 10.1073/pnas.1811591115
   Kaky E, 2020, ECOL INFORM, V60, DOI 10.1016/j.ecoinf.2020.101150
   Kala CP, 2000, BIOL CONSERV, V93, P371, DOI 10.1016/S0006-3207(99)00128-7
   Kling J, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2016.64, 10.1038/nplants.2016.64]
   Kramer-Schadt S, 2013, DIVERS DISTRIB, V19, P1366, DOI 10.1111/ddi.12096
   Kriticos DJ, 2012, METHODS ECOL EVOL, V3, P53, DOI 10.1111/j.2041-210X.2011.00134.x
   Kunwar RM, 2021, J APPL RES MED AROMA, V20, DOI 10.1016/j.jarmap.2020.100274
   Lamsal P, 2017, GLOBAL PLANET CHANGE, V159, P77, DOI 10.1016/j.gloplacha.2017.09.010
   Lamsal P, 2017, INT J SUST DEV WORLD, V24, P471, DOI 10.1080/13504509.2016.1198939
   Larsen HO, 2004, MT RES DEV, V24, P141, DOI 10.1659/0276-4741(2004)024[0141:SPOCMP]2.0.CO;2
   Lenoir J, 2008, SCIENCE, V320, P1768, DOI 10.1126/science.1156831
   Li JJ, 2019, PEERJ, V7, DOI 10.7717/peerj.6730
   Liao CC, 2022, TAIWANIA, V67, P9, DOI 10.6165/tai.2022.67.9
   Liu CR, 2013, J BIOGEOGR, V40, P778, DOI 10.1111/jbi.12058
   LRMP, 1986, LAND RES MAPP PROJ
   Marmion M, 2009, DIVERS DISTRIB, V15, P59, DOI 10.1111/j.1472-4642.2008.00491.x
   MoFE, 2019, CLIM CHANG SCEN NEP
   Murphy JM, 2004, NATURE, V430, P768, DOI 10.1038/nature02771
   Newman DJ, 2003, J NAT PROD, V66, P1022, DOI 10.1021/np030096l
   O'Donnell J, 2012, GLOBAL CHANGE BIOL, V18, P617, DOI 10.1111/j.1365-2486.2011.02537.x
   Olsen CS, 2005, AMBIO, V34, P607, DOI 10.1639/0044-7447(2005)034[0607:VOCCHM]2.0.CO;2
   Olsen CS, 2003, GEOGR J, V169, P243
   Olson DM, 2001, BIOSCIENCE, V51, P933, DOI 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Phuyal N, 2019, J ETHNOPHARMACOL, V229, P326, DOI 10.1016/j.jep.2018.08.010
   Pierce DW, 2009, P NATL ACAD SCI USA, V106, P8441, DOI 10.1073/pnas.0900094106
   Pressey RL, 2007, TRENDS ECOL EVOL, V22, P583, DOI 10.1016/j.tree.2007.10.001
   Price M F., 2004, Conservation and Sustainable Development in Mountain Areas
   Pyakurel D, 2019, ECON BOT, V73, P505, DOI 10.1007/s12231-019-09473-0
   R Core Team, 2016, R: A Language and Environment for Statistical Computing
   Rai LK, 2000, BIOL CONSERV, V93, P27, DOI 10.1016/S0006-3207(99)00116-0
   Rana SK, 2020, ECOL INDIC, V115, DOI 10.1016/j.ecolind.2020.106435
   Rana SK, 2017, J MT SCI-ENGL, V14, P558, DOI 10.1007/s11629-015-3822-1
   Rokaya MB, 2012, J MT SCI-ENGL, V9, P201, DOI 10.1007/s11629-012-2144-9
   Shrestha UB, 2019, DIVERS DISTRIB, V25, P1599, DOI 10.1111/ddi.12963
   Shrestha UB, 2019, CLIMATIC CHANGE, V154, P315, DOI 10.1007/s10584-019-02418-5
   Shrestha UB, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0106405
   Shrestha UB, 2013, BIOL CONSERV, V159, P514, DOI 10.1016/j.biocon.2012.10.032
   Shrestha UB, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036741
   Shrestha UB, 2010, MT RES DEV, V30, P282, DOI 10.1659/MRD-JOURNAL-D-10-00019.1
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Thapa GJ, 2016, CURR SCI INDIA, V110, P345, DOI 10.18520/cs/v110/i3/345-352
   Thuiller W, 2009, ECOGRAPHY, V32, P369, DOI 10.1111/j.1600-0587.2008.05742.x
   Tingley MW, 2012, GLOBAL CHANGE BIOL, V18, P3279, DOI 10.1111/j.1365-2486.2012.02784.x
   Tiwari A, 2019, PLANT DIVERSITY, V41, P174, DOI 10.1016/j.pld.2019.04.004
   Tiwari A, 2018, TROP ECOL, V59, P273
   UNEP (United Nations Environment Programme), 2002, 6 M C PART CONV BIOL
   Veloz SD, 2009, J BIOGEOGR, V36, P2290, DOI 10.1111/j.1365-2699.2009.02174.x
   Willis K. J., 2017, State of the world's plants report - 2017
   World Bank, 2018, MED AROMATIC PLANTS
   Xu JC, 2009, CONSERV BIOL, V23, P520, DOI 10.1111/j.1523-1739.2009.01237.x
   Yan YJ, 2019, J PLANT ECOL, V12, P962, DOI 10.1093/jpe/rtz032
NR 84
TC 18
Z9 19
U1 2
U2 24
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2045-7758
J9 ECOL EVOL
JI Ecol. Evol.
PD AUG
PY 2022
VL 12
IS 8
AR e9204
DI 10.1002/ece3.9204
PG 14
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA 3T9RO
UT WOS:000840608200001
PM 35991283
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Gabbe, CJ
   Mallen, E
   Varni, A
AF Gabbe, C. J.
   Mallen, Evan
   Varni, Alexander
TI Housing and Urban Heat: Assessing Risk Disparities
SO HOUSING POLICY DEBATE
LA English
DT Article
DE Climate adaptation; extreme heat; low-income housing; urban environment;
   California
ID NEW-YORK-CITY; EXTREME HEAT; ENERGY EFFICIENCY; MARICOPA COUNTY;
   CLIMATE-CHANGE; LAND-COVER; MORTALITY; VULNERABILITY; PHOENIX;
   TEMPERATURES
AB Heat is the leading weather-related cause of death in the United States, and housing characteristics affect heat-related mortality. This paper answers two questions. First, how do heat risk measures vary by housing type and location in San Jose, California? Second, what housing and neighborhood factors are associated with greater heat risk? We first create a parcel dataset with housing, heat risk, and neighborhood characteristics. We then use a combination of descriptive statistics, exploratory mapping, and linear regression models to analyze associations between housing, neighborhoods, and heat risk. The results indicate that households of different housing types face varying degrees of heat risk, and the largest disparities are between detached single-family (lowest heat risk) and multifamily rental (highest heat risk). Air conditioning availability is a major contributing factor: the probability of not having central air conditioning is much lower for detached single-family (44.9%) compared with multifamily rental (73.7%). There are also heat risk disparities for households in neighborhoods with larger proportions of Hispanic and Asian residents. This research demonstrates the need to understand heat risk at the parcel scale and suggests to policymakers the importance of heat mitigation strategies that focus on multifamily rental housing and communities of color.
C1 [Gabbe, C. J.; Varni, Alexander] Santa Clara Univ, Dept Environm Studies & Sci, Santa Clara, CA 95053 USA.
   [Mallen, Evan] Georgia Inst Technol, Sch City & Reg Planning, Coll Design, Atlanta, GA 30332 USA.
C3 Santa Clara University; University System of Georgia; Georgia Institute
   of Technology
RP Gabbe, CJ (corresponding author), Santa Clara Univ, Dept Environm Studies & Sci, Santa Clara, CA 95053 USA.
EM icgabbe@scu.edu
OI Mallen, Evan/0000-0001-6151-752X; Gabbe, C.J./0000-0002-0084-580X
CR [Anonymous], 2021, ANTI MONOPOLY GUIDEL
   [Anonymous], 2020, CLIM DAT ONL
   Balbus JM, 2009, J OCCUP ENVIRON MED, V51, P33, DOI 10.1097/JOM.0b013e318193e12e
   Baniassadi A, 2018, BUILD ENVIRON, V132, P263, DOI 10.1016/j.buildenv.2018.01.037
   Berisha V, 2017, WEATHER CLIM SOC, V9, P71, DOI 10.1175/WCAS-D-16-0033.1
   Bird S, 2012, ENERG POLICY, V48, P506, DOI 10.1016/j.enpol.2012.05.053
   Byrne J, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/095014
   Chow WTL, 2012, PROF GEOGR, V64, P286, DOI 10.1080/00330124.2011.600225
   City of San Jose, 2012, TREE CANOPY LAND USE
   City of San Jose, 2020, AFFORDABLE RENTAL HO
   Conlon KC, 2020, ENVIRON HEALTH PERSP, V128, DOI 10.1289/EHP4030
   Droz Pennelys., 2019, GREEN NEW DEAL AM PU
   Ellena M, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100676
   Founda D, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11407-6
   Fraser AM, 2017, ENVIRON PLAN B-URBAN, V44, P1036, DOI 10.1177/0265813516657342
   Gabbe CJ, 2020, HOUS POLICY DEBATE, V30, P843, DOI 10.1080/10511482.2020.1768574
   GHHI, 2020, AIR COND HEAT VULN R
   Gronlund CJ, 2020, J EXPO SCI ENV EPID, V30, P814, DOI 10.1038/s41370-020-0220-8
   Gronlund Carina J, 2014, Curr Epidemiol Rep, V1, P165
   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
   Hayden MH, 2011, WEATHER CLIM SOC, V3, P269, DOI 10.1175/WCAS-D-11-00010.1
   Heaviside C, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0100-9
   Hoffman JS, 2020, CLIMATE, V8, DOI 10.3390/cli8010012
   Jenerette GD, 2016, LANDSCAPE ECOL, V31, P745, DOI 10.1007/s10980-015-0284-3
   Jesdale BM, 2013, ENVIRON HEALTH PERSP, V121, P811, DOI 10.1289/ehp.1205919
   Kenny Glen P, 2019, Temperature (Austin), V6, P11, DOI 10.1080/23328940.2018.1456257
   Klinenberg E., 2015, Heat Wave: A Social Autopsy of Disaster in Chicago
   Kontokosta CE, 2020, J AM PLANN ASSOC, V86, P89, DOI 10.1080/01944363.2019.1647446
   Kuminoff NV, 2010, J ENVIRON ECON MANAG, V60, P145, DOI 10.1016/j.jeem.2010.06.001
   Laaidi K, 2012, ENVIRON HEALTH PERSP, V120, P254, DOI 10.1289/ehp.1103532
   Li D, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/5/054009
   Lumley T., 2004, ANAL COMPLEX SURVEY, V9, P1, DOI 10.18637/jss.v009.i08
   Macintyre HL, 2019, ENVIRON INT, V127, P430, DOI 10.1016/j.envint.2019.02.065
   Madrigano J, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15071433
   Mavrogianni A, 2012, BUILD ENVIRON, V55, P117, DOI 10.1016/j.buildenv.2011.12.003
   Meade RD, 2020, ENVIRON INT, V144, DOI 10.1016/j.envint.2020.105909
   Mitchell BC, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/115005
   Mitchell BC, 2014, GEOGR REV, V104, P459, DOI 10.1111/j.1931-0846.2014.12039.x
   Murray AG, 2014, CONTEMP ECON POLICY, V32, P811, DOI 10.1111/coep.12050
   Nahlik MJ, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000349
   National Weather Service, 2018, Weather-Related Fatality and Injury Statistics
   New York City Department of Transportation, 2021, NYC Plaza Program: Application Guidelines 2021
   O'Neill MS, 2005, J URBAN HEALTH, V82, P191, DOI 10.1093/jurban/jti043
   Ostro B, 2010, AM J EPIDEMIOL, V172, P1053, DOI 10.1093/aje/kwq231
   Palm J, 2018, ENERG EFFIC, V11, P53, DOI 10.1007/s12053-017-9549-9
   Pearsall H, 2017, APPL GEOGR, V79, P84, DOI 10.1016/j.apgeog.2016.12.010
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Perl L., 2014, LIHEAP PROGRAM FUNDI
   Quandt SA, 2013, AM J PUBLIC HEALTH, V103, pE24, DOI 10.2105/AJPH.2012.301135
   Quinn A, 2017, INDOOR AIR, V27, P840, DOI 10.1111/ina.12367
   Ray A, 2019, HOUS POLICY DEBATE, V29, P607, DOI 10.1080/10511482.2019.1566158
   Reid CE, 2009, ENVIRON HEALTH PERSP, V117, P1730, DOI 10.1289/ehp.0900683
   Reina VJ, 2017, ENERG POLICY, V106, P505, DOI 10.1016/j.enpol.2017.04.002
   Rigolon A, 2016, LANDSCAPE URBAN PLAN, V153, P160, DOI 10.1016/j.landurbplan.2016.05.017
   ROGOT E, 1992, AM J EPIDEMIOL, V136, P106, DOI 10.1093/oxfordjournals.aje.a116413
   Rosenthal JK, 2014, HEALTH PLACE, V30, P45, DOI 10.1016/j.healthplace.2014.07.014
   Ruuhela R, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12010046
   Samuelson H, 2020, SCI TOTAL ENVIRON, V720, DOI [10.1016/j.scitotenv.2020.137296, 10.1016/J.scitotenv.2020.137296]
   Sanders Bernie., 2019, The Green New Deal
   Shokry G, 2022, HOUS POLICY DEBATE, V32, P211, DOI 10.1080/10511482.2021.1944269
   Stone B, 2021, ENVIRON SCI TECHNOL, V55, P6957, DOI 10.1021/acs.est.1c00024
   Stone B, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100787
   Taylor J, 2015, URBAN CLIM, V14, P517, DOI 10.1016/j.uclim.2015.08.001
   Tsoulou I, 2020, BUILD ENVIRON, V168, DOI 10.1016/j.buildenv.2019.106411
   U.S. Bureau of Labor Statistics, 2020, AM TIM US SURV
   U.S. Census Bureau, 2019, American Community Survey 1-year Estimates: County-level 2006-2017
   U.S. Department of Energy, 2015, GUIDE DETERMINING CL
   U.S. Department of Housing and Urban Development, 2014, CLIMATE CHANGE ADAPT
   U.S. EPA, 2006, EXC HEAT EV GUID
   U.S. EPA CDC, 2016, CLIMATE CHANGE EXTRE
   Uejio CK, 2011, HEALTH PLACE, V17, P498, DOI 10.1016/j.healthplace.2010.12.005
   US Census Bureau, 2017, American Housing Survey
   USGS (United States Geological Survey), 2021, Landsat Data Access
   Voelkel J, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040640
   Walker LA, 2015, HOUS POLICY DEBATE, V25, P152, DOI 10.1080/10511482.2014.924024
   White-Newsome JL, 2012, ENVIRON RES, V112, P20, DOI 10.1016/j.envres.2011.10.008
   Wilhelmi OV, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014021
   Wilson B, 2020, J AM PLANN ASSOC, V86, P443, DOI 10.1080/01944363.2020.1759127
   Wilson B, 2019, J ENVIRON PLANN MAN, V62, P1065, DOI 10.1080/09640568.2018.1462475
   Wolch J, 2005, URBAN GEOGR, V26, P4, DOI 10.2747/0272-3638.26.1.4
   Wright MK, 2020, BUILD ENVIRON, V183, DOI 10.1016/j.buildenv.2020.107187
   Yardley J, 2011, GLOBAL ENVIRON CHANG, V21, P670, DOI 10.1016/j.gloenvcha.2010.11.010
   Zillow, 2022, SAN JOS HOM VAL
NR 84
TC 15
Z9 17
U1 1
U2 16
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1051-1482
EI 2152-050X
J9 HOUS POLICY DEBATE
JI Hous. Policy Debate
PD SEP 3
PY 2023
VL 33
IS 5
BP 1078
EP 1099
DI 10.1080/10511482.2022.2093938
EA JUL 2022
PG 22
WC Development Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Urban Studies
GA R2YZ1
UT WOS:000830266200001
DA 2025-01-10
ER

PT J
AU Dasgupta, S
   Badola, R
   Ali, SZ
   Tariyal, P
AF Dasgupta, Soumya
   Badola, Ruchi
   Ali, Sk Zeeshan
   Tariyal, Prashant
TI Bioresource, energy and forest sustainability: A case study from Indian
   Himalayan region
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Fuelwood; Fodder; Energy security; Forest cover; Socio-economy
ID CONSUMPTION; VILLAGES; PATTERN
AB Biomass and bioenergy are important for energy security in the rural areas of the developing countries. The sustainability of using biomass for energy security and reducing carbon emission for climate adaptation is an area of concern. Here we assessed the forest biomass use pattern in the Indian Himalayan Region (IHR) and factors influencing the usage within the rural community. We did the household level survey (n = 1346) in the 77 representative villages of Beas, Bhagirathi and Teesta basin of the IHR. We found that although 80% of the surveyed household had access to Liquidified Petroleum Gas (LPG), their dependency on common pool resources for energy security still exists, depending on the altitude, size of the family, dependent members, education and occupation of the family members and adult cattle unit present with the household. The fuelwood and fodder harvest varied between the three basins and also increases along the altitudinal gradient. The biomass harvest is linked with the forest degradation and attributed to more carbon emission along with the rural health. Most of the surveyed villages of Beas and Teesta basin lacked sufficient forest cover for sustainable harvesting of fuel-wood and fodder. We suggest intersectoral linkages within different stakeholders to adopt and disseminate cleaner energy to remote rural areas to meet sustainable development goals and energy security in the IHR.
C1 [Dasgupta, Soumya; Badola, Ruchi; Ali, Sk Zeeshan; Tariyal, Prashant] Wildlife Inst India, Dehra Dun 248001, Uttarakhand, India.
C3 Wildlife Institute of India
RP Badola, R (corresponding author), Wildlife Inst India, Dept Ecodev Planning & Participatory Management, Dehra Dun 248001, Uttarakhand, India.
EM dgsoumya84@gmail.com; ruchi@wii.gov.in; zeeshanearth@gmail.com;
   tariyal.prashant@gmail.com
RI Ali, Sk/AAA-2210-2019
FU Department of Science and Technology (DST) India
   [DST/SPLICE/CCP/NMSHE/TF-2/WII/2014 [G]]
FX The study is a part of the National Mission for Sustaining the Himalayan
   Environment (NMSHE) Project under the Wildlife Institute of India.
   Authors want to acknowledge the Director, Wildlife Institute of India,
   Dean, Wildlife Institute of India, Dr. S. Sathyakumar, Nodal Scientist,
   National Mission for Sustaining Himalayan Environment (NMSHE) project,
   Wildlife Institute of India for their help and support throughout the
   study. The work was carried out under the financial support of the
   Department of Science and Technology (DST) India, grant
   number-DST/SPLICE/CCP/NMSHE/TF-2/WII/2014 [G]. The authors want to thank
   Ms. Papori Khatonier, Mr. Ashish Kumar, Ms. Monideepa Mitra, Ms. Tamali
   Mondal, and Mr. Anoop Raj Singh for helping in data collection and data
   entry.
CR Angelsen A, 2014, WORLD DEV, V64, pS12, DOI 10.1016/j.worlddev.2014.03.006
   Awasthi A, 2003, FOREST ECOL MANAG, V174, P13, DOI 10.1016/S0378-1127(02)00026-9
   Bailis R, 2015, NAT CLIM CHANGE, V5, P266, DOI [10.1038/NCLIMATE2491, 10.1038/nclimate2491]
   Bansal M, 2013, RENEW SUST ENERG REV, V17, P44, DOI 10.1016/j.rser.2012.09.014
   Barnes DF, 2011, ENERG POLICY, V39, P894, DOI 10.1016/j.enpol.2010.11.014
   Benato A, 2016, ENRGY PROCED, V101, P790, DOI 10.1016/j.egypro.2016.11.100
   Bhatt BP, 2016, RENEW ENERG, V94, P410, DOI 10.1016/j.renene.2016.03.042
   Bhatt BP, 2004, BIOMASS BIOENERG, V27, P69, DOI 10.1016/j.biombioe.2003.10.004
   BHATT BP, 1994, ENERGY, V19, P465, DOI 10.1016/0360-5442(94)90124-4
   Chakraborty A, 2018, REG ENVIRON CHANGE, V18, P1783, DOI 10.1007/s10113-018-1309-7
   Chakraborty S, 2016, EC SOCIAL DEV RURAL, V4, P61, DOI [10.20896/saci.v4i2.198, DOI 10.20896/SACI.V4I2.198]
   Chandra K., 2018, FAUNAL DIVERSITY IND
   Chen J, 2017, ISPRS INT J GEO-INF, V6, DOI 10.3390/ijgi6080230
   Dasgupta S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176938
NR 14
TC 5
Z9 5
U1 1
U2 3
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 FEB 20
PY 2022
VL 337
AR 130497
DI 10.1016/j.jclepro.2022.130497
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 0P6PC
UT WOS:000784350900001
DA 2025-01-10
ER

PT J
AU Gao, LP
   Tao, B
   Miao, YX
   Zhang, LH
   Song, X
   Ren, W
   He, LY
   Xu, XF
AF Gao, Liping
   Tao, Bo
   Miao, Yunxuan
   Zhang, Lihua
   Song, Xia
   Ren, Wei
   He, Liyuan
   Xu, Xiaofeng
TI A Global Data Set for Economic Losses of Extreme Hydrological Events
   During 1960-2014
SO WATER RESOURCES RESEARCH
LA English
DT Article
DE droughts; extreme hydrological events; floods; economic losses; climate
   change
ID CLIMATE-CHANGE IMPACTS; NATURAL DISASTERS; TRENDS; PRECIPITATION;
   ADAPTATION; FLOODS; MODEL; RISK; VULNERABILITY; DROUGHTS
AB A comprehensive data set of extreme hydrological events (EHEs)-floods and droughts, consisting of 2,171 occurrences worldwide, during 1960-2014 was compiled, and then their economic losses were normalized using a price index in U.S. dollar. The data set showed a significant increasing trend of EHEs before 2000, while a slight post-2000 decline. Correspondingly, the EHE-caused economic losses increased obviously before 2000 followed by a slight decrease; the post-2000 decline could be partially attributed to the decreases in drought and flood-prone area or climate adaptation practices. Spatially, Asia experienced most EHEs (969), corresponding to the largest share of economic losses (approximately $868 billion for floods and $50 billion for droughts, respectively), while Oceania had the least EHEs (102) and the least economic losses (approximately $19 billion for floods and $45 billion for droughts). The five countries with the highest EHE-caused economic losses were China, United States, Canada, Australia, and India. Countries that suffered the highest flood-caused economic losses were China, United States, and Canada. This data set provides a quantitative linkage between climate science and economic losses at a global scale, and it is beneficial for the regional climatic impact assessments and strategical development for mitigating climate change impacts.
C1 [Gao, Liping] Georgia Southern Univ, Dept Finance & Econ, Statesboro, GA 30458 USA.
   [Gao, Liping; Song, Xia; Xu, Xiaofeng] Univ Texas El Paso, Dept Biol, El Paso, TX 79968 USA.
   [Gao, Liping] Beijing Inst Technol, Coll Global Talent, Zhuhai, Peoples R China.
   [Tao, Bo; Ren, Wei] Univ Kentucky, Coll Agr Food & Environm, Dept Plant & Soil Sci, Lexington, KY USA.
   [Miao, Yunxuan] Beijing Normal Univ, Dept Chem, Beijing, Peoples R China.
   [Zhang, Lihua] Chinese Acad Sci, Inst Bot, Beijing, Peoples R China.
   [Zhang, Lihua; Song, Xia; He, Liyuan; Xu, Xiaofeng] San Diego State Univ, Dept Biol, Ecol Modeling & Integrat Lab, San Diego, CA 92182 USA.
   [Xu, Xiaofeng] Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun, Jilin, Peoples R China.
C3 University System of Georgia; Georgia Southern University; University of
   Texas System; University of Texas El Paso; Beijing Institute of
   Technology; University of Kentucky; Beijing Normal University; Chinese
   Academy of Sciences; Institute of Botany, CAS; California State
   University System; San Diego State University; Chinese Academy of
   Sciences; Northeast Institute of Geography & Agroecology, CAS
RP Xu, XF (corresponding author), Univ Texas El Paso, Dept Biol, El Paso, TX 79968 USA.; Xu, XF (corresponding author), San Diego State Univ, Dept Biol, Ecol Modeling & Integrat Lab, San Diego, CA 92182 USA.; Xu, XF (corresponding author), Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun, Jilin, Peoples R China.
EM xxu@sdsu.edu
RI He, Liyuan/AAL-6296-2021; TAO, BO/I-4166-2014; gao,
   liping/JGD-0448-2023; Xu, Xiaofeng/B-2391-2008
OI Xu, Xiaofeng/0000-0002-6553-6514; He, Liyuan/0000-0003-3326-9260
FU Northeast Institute of Geography and Agroecology, Chinese Academy of
   Sciences; "Thousand Young Talents" program in China; National Science
   Foundation [ACI-1053575]
FX This study was partially supported by the Northeast Institute of
   Geography and Agroecology, Chinese Academy of Sciences, and the
   "Thousand Young Talents" program in China. The authors are grateful for
   the Campus Office of Undergraduate Research Initiatives (COURI) at the
   University of Texas El Paso and the San Diego State University for the
   facility support. This work partially used the Extreme Science and
   Engineering Discovery Environment (XSEDE), which is supported by
   National Science Foundation grant number ACI-1053575. Authors state that
   there is no conflict of interest. We are grateful for The International
   Disaster Database (http://www.emdat.be/database) and Dartmouth Flood
   Observatory (http://www.dartmouth.edu/similar to
   floods/Archives/index.html) for making their data set publicly
   accessible.
CR ALBALABERTRAND JM, 1993, WORLD DEV, V21, P1417, DOI 10.1016/0305-750X(93)90122-P
   Aldous A, 2011, MAR FRESHWATER RES, V62, P223, DOI 10.1071/MF09285
   [Anonymous], 2011, Hexagon Series on Human and Environmental Security and Peace
   [Anonymous], WATER SUI
   Barredo JI, 2007, NAT HAZARDS, V42, P125, DOI 10.1007/s11069-006-9065-2
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Chauvin F, 2007, GLOBAL PLANET CHANGE, V57, P96, DOI 10.1016/j.gloplacha.2006.11.028
   Christensen JH, 2003, NATURE, V421, P805, DOI 10.1038/421805a
   Christidis N, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023885
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Easterling DR, 2000, B AM METEOROL SOC, V81, P417, DOI 10.1175/1520-0477(2000)081<0417:OVATIE>2.3.CO;2
   Fankhauser S, 2014, GLOBAL ENVIRON CHANG, V27, P9, DOI 10.1016/j.gloenvcha.2014.04.014
   Fluet-Chouinard E, 2015, REMOTE SENS ENVIRON, V158, P348, DOI 10.1016/j.rse.2014.10.015
   Frei C, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD005965
   Hallegatte S, 2005, ENVIRON MODEL ASSESS, V10, P277, DOI 10.1007/s10666-005-9013-7
   Hallegatte S., 2005, DYNAMICAL APPROACH M
   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, 2011, CLIMATIC CHANGE, V104, P1, DOI 10.1007/s10584-010-9981-8
   Haylock M, 2000, INT J CLIMATOL, V20, P1533, DOI 10.1002/1097-0088(20001115)20:13<1533::AID-JOC586>3.0.CO;2-J
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Holmgren M, 2006, FRONT ECOL ENVIRON, V4, P87, DOI 10.1890/1540-9295(2006)004[0087:ECESAA]2.0.CO;2
   Kellenberg DK, 2008, J URBAN ECON, V63, P788, DOI 10.1016/j.jue.2007.05.003
   Lehmann J, 2015, CLIMATIC CHANGE, V132, P501, DOI 10.1007/s10584-015-1434-y
   Loayza NV, 2012, WORLD DEV, V40, P1317, DOI 10.1016/j.worlddev.2012.03.002
   Madsen H, 2014, J HYDROL, V519, P3634, DOI 10.1016/j.jhydrol.2014.11.003
   Marengo JA, 2016, INT J CLIMATOL, V36, P1033, DOI 10.1002/joc.4420
   Meyer V, 2018, FUTURE CITY, V10, P363, DOI 10.1007/978-3-319-59324-1_20
   Pearson L., 2015, Journal of Extreme Events, V02, P1571001, DOI DOI 10.1142/S2345737615710013
   Pielke R.A., 2002, Flood Damage in the United States, 1926-2000: A Reanalysis of National Weather Service Estimates
   Prigent C, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD007847
   Ramcharan R, 2007, J INT ECON, V73, P31, DOI 10.1016/j.jinteco.2006.12.004
   Seneviratne S. I., 2012, INTERGOVERNMENTAL PA, P12
   Stanganelli M., 2008, SOCIO-ECON PLAN SCI, V42, P92, DOI [10.1016/j.seps.2006.10.001, DOI 10.1016/J.SEPS.2006.10.001]
   Strobl E, 2011, REV ECON STAT, V93, P575, DOI 10.1162/REST_a_00082
   Tebaldi C, 2006, CLIMATIC CHANGE, V79, P185, DOI 10.1007/s10584-006-9051-4
   Toya H, 2007, ECON LETT, V94, P20, DOI 10.1016/j.econlet.2006.06.020
   Trenberth K.E., 2013, Climate Science for Serving Society, P13, DOI DOI 10.1007/978-94-007-6692-1_2
   United States Agency for International Development Office of US Foreign Disaster Assistance, 1993, DIS HIST SIGN DAT MA
   Wei YM, 2004, ENVIRON IMPACT ASSES, V24, P427, DOI 10.1016/j.eiar.2003.12.003
   Zhai PM, 2005, J CLIMATE, V18, P1096, DOI 10.1175/JCLI-3318.1
   Zhao MS, 2010, SCIENCE, V329, P940, DOI [10.1126/science.1192666, 10.1126/science.1189590]
   Zwiers FW, 1998, J CLIMATE, V11, P2200, DOI 10.1175/1520-0442(1998)011<2200:CITEOT>2.0.CO;2
NR 45
TC 25
Z9 27
U1 9
U2 97
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 JUN
PY 2019
VL 55
IS 6
BP 5165
EP 5175
DI 10.1029/2019WR025135
PG 11
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 IL9PP
UT WOS:000477616900038
OA Bronze
DA 2025-01-10
ER

PT J
AU Chen, PY
   Huang, SJ
   Yu, CY
   Chiang, PC
   Liu, TM
   Tung, CP
AF Chen, Pei-Yuan
   Huang, Syu-Jie
   Yu, Chia-Yii
   Chiang, Pen-Chi
   Liu, Tzu-Ming
   Tung, Ching-Pin
TI Study on the Climate Adaption Planning for an Industrial Company with
   Regional Risk of the Water Supply System-A Case in Taiwan
SO WATER
LA English
DT Article
DE water resources management; adaptation; an industrial company; climate
   change; risk assessment
ID LOADING FUNCTIONS
AB Extreme uneven spatial and temporal distributions of rainfall pose the risk of water shortage to the industries in Taiwan, particularly during dry seasons, which may be worsen under climate change. This study aims to develop adaptation actions for an industrial company to reduce the risk of droughts. The Formosa Plastics Corporation (FPC) in Chuoshui River watershed is selected as a study case and an integrated risk assessment tool of water resources TaiWAP is used. The water shortage of FPC is mainly in the dry seasons because the water rights of public and agricultural uses are prioritized over industrial use. The considered adaptation options including water reuse, a desalination plant, smart agricultural water management, and rainwater harvesting. The results show that the waste-water reuse and sea-water desalination are the most effective adaptation options, which reduces the water shortage risks 33-44% per day in the return period of ten years. The results are generalized for the reference of other studies. The risk assessment and adaptation measure identification of the company require regional information. Moreover, some adaptation measures that the company implements help reduce the water shortage of the region and are consequently beneficial to the company, e.g., smart agricultural water management.
C1 [Chen, Pei-Yuan; Huang, Syu-Jie; Tung, Ching-Pin] Natl Taiwan Univ, Dept Bioenvironm Syst Engn, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan.
   [Yu, Chia-Yii] Formosa Plast Grp, Grp Adm, Safety Hlth & Environm Ctr, 201 Tun Hwa N Rd, Taipei 10508, Taiwan.
   [Chiang, Pen-Chi] Natl Taiwan Univ, Grad Inst Environm Engn, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan.
   [Liu, Tzu-Ming] Natl Sci & Technol Ctr Disaster Reduct NCDR, 9F,200,Sec 3,Beisin Rd, New Taipei 23143, Taiwan.
C3 National Taiwan University; National Taiwan University; National Science
   & Technology Center for Disaster Reduction (NCDR)
RP Tung, CP (corresponding author), Natl Taiwan Univ, Dept Bioenvironm Syst Engn, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan.
EM d00622012@ntu.edu.tw; jay818180@gmail.com; yuchiayi@fpg.com.tw;
   pcchiang@ntu.edu.tw; tedliu@gmail.com; cptung@ntu.edu.tw
FU National Science Council (NSC) of Taiwan [MOST 106-2621-M-002-002];
   Formosa Plastics Corporation (FPC)
FX This study is funded by the National Science Council (NSC) of Taiwan
   under Contract No. MOST 106-2621-M-002-002 and by the Formosa Plastics
   Corporation (FPC) for the project Plan of Water Resources Management and
   Subsidence Prevention and Control.
CR Allen R.G., 1998, FAO Irrigation and Drainage Paper
   Bates B. C., 2008, 4 IPCC
   Bressiani DD, 2015, INT J AGR BIOL ENG, V8, P125, DOI 10.3965/j.ijabe.20150803.970
   Burton I., 2004, Adaptation policy frameworks for climate change: developing strategies, policies and measures
   Carnicer J, 2011, P NATL ACAD SCI USA, V108, P1474, DOI 10.1073/pnas.1010070108
   Council of Agriculture, 2013, GOLD CORR AGR NEW PL
   GIORGI F, 1991, REV GEOPHYS, V29, P191, DOI 10.1029/90RG02636
   Griffin D, 2014, GEOPHYS RES LETT, V41, P9017, DOI 10.1002/2014GL062433
   HAITH DA, 1987, WATER RESOUR BULL, V23, P471, DOI 10.1111/j.1752-1688.1987.tb00825.x
   Hoekstra A.Y., 2008, WATER NEUTRALREDUCIN
   Hong NM, 2016, ENVIRON MONIT ASSESS, V188, DOI 10.1007/s10661-016-5395-z
   Huang S., 2016, P EGU GEN ASS C VIEN, P10912
   Hydrologic Engineering Center. Hydrologic Engineering Methods for Water Resources Development Vol, 1975, HYDR FREQ AN, V3
   Ivey JL, 2004, ENVIRON MANAGE, V33, P36, DOI 10.1007/s00267-003-0014-5
   Japan Water Resources Development Public Corp, 1977, DROUGHT ASS, P8
   Li MH, 2017, TERR ATMOS OCEAN SCI, V28, P67, DOI 10.3319/TAO.2016.08.23.02(CCA)
   Li Z, 2016, SCI TOTAL ENVIRON, V548, P198, DOI 10.1016/j.scitotenv.2016.01.002
   Lin CY, 2017, TERR ATMOS OCEAN SCI, V28, P43, DOI 10.3319/TAO.2016.06.14.01(CCA)
   Liu TM, 2009, PADDY WATER ENVIRON, V7, P301, DOI 10.1007/s10333-009-0177-7
   Milne M., 2008, Climate Risk and Industry Adaptation
   National Development Council (NDC), 2013, 2012 2015 INT GOV OU
   Nelson R, 2008, ENVIRON SCI POLICY, V11, P588, DOI 10.1016/j.envsci.2008.06.005
   Ogrosky H.O., 1964, Handbook of Applied Hydrology
   Richardson C.W., 1984, WGEN MODEL GENERATIN
   Salama I.A, 1993, NONPARAMETRIC STAT W
   Schneiderman EM, 2002, J AM WATER RESOUR AS, V38, P1323, DOI 10.1111/j.1752-1688.2002.tb04350.x
   Stocker T., 2014, CONTRIBUTION5 ASSESS
   Takahasi Y., 2009, WATER STORAGE TRANSP
   United Microelectronics Corporation (UMC), 2016, DEC SUPP EARL WARN W
   Wilhite D. A., 1985, Water International, V10, P111, DOI 10.1080/02508068508686328
   WRA, 2012, WATER RESOUR AGENCY, P30
   WRA, 2012, WATER RESOUR AGENCY, p[2, 3]
   WRA, 2012, WATER RESOUR AGENCY, P5
   WRA, 2009, WATER RESOUR AGENCY, P108
NR 34
TC 1
Z9 1
U1 1
U2 28
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD SEP
PY 2017
VL 9
IS 9
AR 682
DI 10.3390/w9090682
PG 23
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA FH9WM
UT WOS:000411567200055
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Xue, F
   Gou, ZH
   Lau, SSY
AF Xue, Fei
   Gou, Zhonghua
   Lau, Stephen Siu Yu
TI Human Factors in Green Office Building Design: The Impact of Workplace
   Green Features on Health Perceptions in High-Rise High-Density Asian
   Cities
SO SUSTAINABILITY
LA English
DT Article
DE green building; workplace; human factors; health and well-being; high
   density cities
ID OPEN-PLAN OFFICES; OCCUPATIONAL STRESS; WORK; VENTILATION; ENVIRONMENT;
   MANAGEMENT; SYMPTOMS; BENEFITS; SUNLIGHT
AB There is a growing concern about human factors in green building, which is imperative in high-rise high-density urban environments. This paper describes our attempts to explore the influence of workplace green features (such as green certification, ventilation mode, and building morphology) on health perceptions (personal sensation, sensorial assumptions, healing performance) based on a survey in Hong Kong and Singapore. The results validated the relationship between green features and health perceptions in the workplace environment. Remarkably, participants from the air-conditioned offices revealed significant higher concerns about health issues than those participants from the mixed-ventilated offices. The mixed-ventilation design performs as a bridge to connect the indoor environment and outdoor space, which enables people to have contact with nature. Additionally, the preferred building morphology of the workplace is the pattern of a building complex instead of a single building. The complex form integrates the configuration of courtyards, podium gardens, green terrace, public plaza, and other types of open spaces with the building clusters, which contributes to better health perceptions. This research contributes to the rationalization and optimization of passive climate-adaptive design strategies for green buildings in high-density tropical or subtropical cities.
C1 [Xue, Fei; Lau, Stephen Siu Yu] Natl Univ Singapore, Sch Design & Environm, 21 Lower Kent Ridge Rd, Singapore 117566, Singapore.
   [Gou, Zhonghua] Griffith Univ, Sch Environm, Cities Res Ctr, Parklands Dr, Gold Coast, Qld 4215, Australia.
C3 National University of Singapore; Griffith University; Griffith
   University - Gold Coast Campus
RP Gou, ZH (corresponding author), Griffith Univ, Sch Environm, Cities Res Ctr, Parklands Dr, Gold Coast, Qld 4215, Australia.
EM sdexf@nus.edu.sg; z.gou@griffith.edu.au; stephenlau@nus.edu.sg
RI Gou, Zhonghua/H-5621-2019
OI Gou, Zhonghua/0000-0001-9627-4724
FU University of Hong Kong; National University of Singapore
FX The authors express gratitude to the University of Hong Kong and
   National University of Singapore for scholarships and fellowships to
   enable raw data collection in the two cities. Many thanks are also due
   to the three anonymous reviewers who provided instructive comments and
   guidance to revise this paper.
CR [Anonymous], 1966, The Senses Considered As Perceptual Systems
   Aron A., 2008, Statistics for the behavioral and social sciences: A brief course
   BOUBEKRI M, 1991, ENVIRON BEHAV, V23, P474, DOI 10.1177/0013916591234004
   Bowen P, 2014, INT J PROJ MANAG, V32, P1273, DOI 10.1016/j.ijproman.2014.01.008
   BRE, 2013, BREEAM INT NEW CONST
   Brewer JM, 2013, CHEM SENSES, V38, P305, DOI 10.1093/chemse/bjs142
   Browning W., 2014, IMPROVING HLTH WELL
   [Building and Construction Authority (BCA) BCA], 2012, BCS GREEN MARK CERT, P205
   Byrd H, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040347
   Chan KB, 2000, SOC SCI MED, V50, P1415, DOI 10.1016/S0277-9536(99)00397-4
   Chang CY, 2005, HORTSCIENCE, V40, P1354, DOI 10.21273/HORTSCI.40.5.1354
   Eisen KP, 2008, COMPUT HUM BEHAV, V24, P486, DOI 10.1016/j.chb.2007.02.003
   Field A., 2009, Discovering statistics with SPSS, V3rd
   Givoni Baruch., 1998, CLIMATE CONSIDERATIO
   Gou ZH, 2012, J FACIL MANAG, V10, P256, DOI 10.1108/14725961211265729
   Gou ZH, 2014, HABITAT INT, V44, P282, DOI 10.1016/j.habitatint.2014.07.008
   Gou ZH, 2014, ARCHIT SCI REV, V57, P196, DOI 10.1080/00038628.2014.908113
   Gou ZH, 2013, HABITAT INT, V39, P156, DOI 10.1016/j.habitatint.2012.12.007
   Grad FP, 2002, B WORLD HEALTH ORGAN, V80, P981
   HKGBC, 2012, BEAM PLUS NEW BUILD
   Hong T., 2012, ASIM 2012 1 ASIA C I
   Hraska J, 2015, RENEW ENERG, V73, P109, DOI 10.1016/j.renene.2014.06.008
   Hunter MD, 2010, NEUROIMAGE, V53, P611, DOI 10.1016/j.neuroimage.2010.06.053
   Kaplan S, 2003, AM J PUBLIC HEALTH, V93, P1484, DOI 10.2105/AJPH.93.9.1484
   Kubba S, 2012, HANDBOOK OF GREEN BUILDING DESIGN, AND CONSTRUCTION: LEED, BREEAM, AND GREEN GLOBES, P1
   Lam KP, 2013, BUILD SIMUL-CHINA, V6, P195, DOI 10.1007/s12273-013-0112-0
   Lau SSY, 2014, FRONT ARCHIT RES, V3, P452, DOI 10.1016/j.foar.2014.06.006
   Lea J, 2008, AREA, V40, P90, DOI 10.1111/j.1475-4762.2008.00789.x
   Leather P, 1998, ENVIRON BEHAV, V30, P739, DOI 10.1177/001391659803000601
   Lee ACK, 2011, J PUBLIC HEALTH-UK, V33, P212, DOI 10.1093/pubmed/fdq068
   Lottrup L, 2013, LANDSCAPE URBAN PLAN, V110, P5, DOI 10.1016/j.landurbplan.2012.09.002
   Malnar J.M., 2004, Sensory Design
   Michie S, 2002, OCCUP ENVIRON MED, V59, P67, DOI 10.1136/oem.59.1.67
   Oke T.R., 1981, INT J CLIMATOLOGY, V1, P237, DOI DOI 10.1002/JOC.3370010304
   Pejtersen J, 2006, INDOOR AIR, V16, P392, DOI 10.1111/j.1600-0668.2006.00444.x
   Seppänen O, 2006, INDOOR AIR, V16, P28, DOI 10.1111/j.1600-0668.2005.00394.x
   Seppänen OA, 1999, INDOOR AIR, V9, P226, DOI 10.1111/j.1600-0668.1999.00003.x
   Shahzad SS, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040331
   Sternberg EstherM., 2009, HEALING SPACES
   Sun KY, 2014, BUILD ENVIRON, V79, P1, DOI 10.1016/j.buildenv.2014.04.030
   Tveit M, 2006, LANDSCAPE RES, V31, P229, DOI 10.1080/01426390600783269
   U.S. Green Building Council (USGBC), 2013, LEED V4 REF GUID BUI
   U.S. Green Building Council (USGBC), 2012, LEED 2009 HEALTHC
   Ulrich R.S., 1993, BIOPHILIA HYPOTHESIS
   Vapaa A.G., 2002, THESIS
   Wilson E.O., 1984, Biophilia. Cambridge, DOI DOI 10.4159/9780674045231
   [World Green Building Council (WGBC) World Green Building Council], 2014, HLTH WELLB PROD
   World Health Organization (WHO), WORKPL HLTH PROM
   Yeang K., 2011, Eco skyscrapers, V2
   Yeang Ken., 1999, GREEN SKYSCRAPER BAS
   YEANG Ken., 2011, Green Design: From Theory to Practice
NR 51
TC 30
Z9 35
U1 6
U2 110
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2016
VL 8
IS 11
AR 1095
DI 10.3390/su8111095
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 EE1BS
UT WOS:000389316200016
OA gold, Green Submitted, Green Published
DA 2025-01-10
ER

EF